Building Chemical Informatics Grid - Indiana University建筑化学信息学网格-印第安那大学
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STEP (System for Teaching Experimental Psychology) is an project designed to maximize the use of E-Prime, PsyScope, and other experiment generating systems for teaching undergraduate classes in Experimental Psychology. It is directed by Brian MacWhinney in the Department of Psychology at Carnegie Mellon University. Other contributors include Ping Li of the University of Richmond, Chris Schunn of the University of Pittsburgh, and James St. James at Millikin University.The main components of this project use the new E-Prime system, which is available for Windows only.PsyScope, which is free but not supported, works on the Macintosh.An article from BRMIC summarizes the projectSTEP Resources include:∙The e-prime@ mailing list that is used to share ideas and issues regarding the use of E-Prime to build experiments.To subscribe, go to /group/eprime. When you do this for the first time, you will be asked to set up a Google Groups account. This is not a full Gmail account and they only ask for your name and password. After you do that, when you later log on you can go directly to the relevant list and subscribe byselecting "edit my membership" which is an option in the middle of the column on the right of the page.∙SCRIPTS-Classic: Runnable E-Prime scripts that can be used to demonstrate classic experiments in Experimental Psychology. These are accompanied by descriptions of the original articles.∙SCRIPTS-Plus: Additional E-Prime scripts for certain commonly used paradigms. These are not accompanied by descriptions of theoriginal articles. Some of these are recent contributions.∙PST Samples: PST maintains an excellent collection of about 50 short E-Prime scripts designed to illustrate specific programmingtechniques and tasks. However, to access these you will first need to get a logon ID for the PST site.∙SCRIPTS-Student: E-Prime scripts contributed by Brian MacWhinney's students in Cognitive Research Methods in 2002 and 2003.∙MATERIALS: The E-Prime Getting Started Guide and various PowerPoint tutorials from PST, as well as additional technical documents for response boxes, etc.∙UTILITIES: Utilities for working with E-Prime and PsyScope∙COURSE FRAMEWORK: Complete material set for a Lab course based onE-Prime from Chris Schunn at George Mason UniversityThis project was supported by grant 9972437 from the Division of Undergraduate Education of the National Science Foundation. For more information, contact Brian MacWhinney atCMU.BiomedicalInformaticsResearch Network(BIRN)∙Abouto About: Overviewo BIRN Video Introductiono BIRN FAQso Historyo Executive Committeeo Steering Committeeo Presentations/Publicationso Mediao Sponsorso Newso Contact Us∙Capabilitieso Capabilities: Overviewo Current Capabilitieso Developing Capabilities∙Working with BIRNo Working with BIRN:Overviewo FAQo BIRN User Inquiryo Working GroupsData ManagementWorking Group▪Derived Data WorkingGroup▪Genomics WorkingGroup▪InformationIntegration WorkingGroup▪KnowledgeEngineering WorkingGroup▪Operations WorkingGroup▪Security WorkingGroup▪Workflows WorkingGroupo Mailing Lists∙User Storieso User Stories: Overviewo Multi-site fMRI Studies∙Resourceso Resources: Overviewo Tools▪Acquisition,Calibration andQuality AssuranceTools▪Analysis andProcessing Tools▪Atlasing, Images andVisualization Tools▪Data Management andCollaboration Tools▪Ontologies,Standards andTerminologies Tools▪Security Tools▪FederatedInformaticsResearchEnvironment (FIRE)Primer▪fMRI ScannerCalibrationMethods andRecommendations▪fMRI ImagingQualityAssuranceMethods▪Multi-siteCognitiveParadigms forfMRI studies▪FunctionalImagingCalibrationParadigms▪All Toolso Share Your Tools▪Software Licenseo Best Practiceso Supplemental Materials▪FBIRNRecommendations forMulti-Center fMRIStudies:SupplementalMaterial (JMRI cite)▪Supplement I:FBIRN WorkingGroups▪SupplementII: FBIRN Taskpresentation/psychometriccollection▪SupplementIII: FBIRNScanparameters▪SupplementIV: FBIRNQualityAssuranceProgram▪Supplement V:FBIRNInformatics▪References▪Brain MorphometryMulti-site Studies▪BrainMorphometryImagingProtocols▪BrainMorphometryMRI Phantom▪DTI MultisiteProcessing▪Functional MRIMulti-site Studieso Data▪Alphabetical List ofDataCollaboratorso Collaborators: Overviewo Nonhuman Primate ResearchConsortiumo Radiation Oncology PilotProjecto Taub Institute forResearch at ColumbiaUniversityo Clinical TranslationalScience Institutes (CTSIs)o Function BIRN▪Function BIRNPublicationso InternationalNeuroinformaticsCoordinating Facility(INCF)o Cardiovascular ResearchGridAbout: OverviewThe Biomedical Informatics Research Network (BIRN)is a national initiative to advance biomedical research through data sharing and online collaboration. Funded by the National Institute of General Medicine Sciences (NIGMS), a component of the US National Institutes of Health (NIH), BIRN providesdata-sharing infrastructure, software tools, strategies and advisory services – all from a single source.Our work focuses directly on the biomedical research community’s unique, data-intensive sharing and analysis needs, which are particularly evident in fields such as biomedical imaging and genetics.BIRN provides a user-driven,software-based framework forresearch teams to share significant quantities of data –rapidly, securely and privately – across geographic distance and/or incompatible computing systems. Groups may choose whether to share data internally or with external audiences. In either scenario, hardware and data remain under the control of individual user groups.We also offer data-sharing software tools specific to biomedical research, best practices references, expert advice and other resources. BIRN actively is developing new data-sharing tools, authorization capabilities, and knowledge engineering tools to help researchers make sense of new information in unique ways.CollaborationBIRN is a collaborative effort betweenthe NIGMS and a leadership consortium that includes the University of Southern California’s Information Sciences Institute (ISI), University of Chicago, Massachusetts General Hospital, University of California at Irvine, and University of California at Los Angeles. Our interdisciplinary team consists of leading computer scientists, engineers, physicians, biomedical researchers and other experts.Participants represent some of the nation’s premier tech nical and healthcare research universities, hospitals and other institutions. Such groups range from small research groups who receive NIGMS grants to large consortia, such as the Nonhuman Primate Research Consortium (NHPRC).∙About: Overview∙BIRN Video Introduction∙BIRN FAQs∙History∙Executive Committee∙Steering Committee∙Presentations/Publications∙Media∙Sponsors∙News∙Contact Us∙BIRN Collaboration wiki∙BIRN Documentation wiki∙Project Management∙ACCESS Account Management∙Copyright∙Privacy∙Sitemap∙Contact UsBIRN is supported by NIH grants1U24-RR025736, U24-RR021992,U24-RR021760 and by the Collaborative Tools Support Network Award1U24-RR026057-01.。
多晶硅工程中英文词汇参考安全淋浴safety shower安全生产safety production安全数据safety data安全有效运行safe and efficient operation按照工艺要求加工硅芯seed rod processing to process requirements.板坯slab办公室office room半导体级别semiconductor grade半导体级多晶硅polycrystalline silicon for semi-conductor purpose包装packing包装间packaging room报警alarm泵的液压计算pump hydraulic calculations必须的设计标准necessary design criteria必需的公用设施required utilities必需的公用设施和消耗率required utilities and consumption rates避免聚合物在下游工艺过程中在非常条件下进行反应而发生爆炸to avoid explosion of the polymer in downstream processes by reacting it under very controlled conditions 编制安全阀和其它安全装置清单prepare a list of safety valve and other safety devices编制设备说明书prepare equipment specifications编制以下仪表设计数据prepare instrument design data including the following变配电站substation and power distribution station标准编码standard label标准参数standard parameter标准设备规格specification of standard equipment标准设备装置的规格specifications for standard equipment set表面分析surface analysis表面金属total surface metals表压(磅/平方英寸)psig,不断循环continuous cycling不理想to be non-ideal不锈钢stainless steel布袋收尘器bag house, bag house filter部件编码和位置item number with location操作程序operating procedures操作和维修最大负荷表table of maximum operating and maintenance loads操作人员和工程师培训operators and engineers training操作数据operating data操作顺序operating sequence操作条件operating conditions操作要严谨确保安全must be completed in a precise manner for safetyreasons.产出/投入比input and output ratio产量production capacity产品products产品规格product specifications产品检测product examination产品库product storage产品流product stream产品浓度计算product concentration产品质量quality of product常规晶棒regular rod厂房和/或构筑物的特殊要求special requirements for buildings and/or structures厂区管网pipeline network within the plant area厂区设施plant area facilities厂区占地面积occupied area of the plant area超高纯水ultrapure water超高纯水水池ultrapure water bath彻底清洁最终产品completely clean up the final product称量weighing城市管道水水质的分析指数analytical index of water quality for city water pipe network程序procedures充足的技术信息sufficient technical information抽气evacuations出口outlet出炉的多晶硅棒process harvested polysilicon rods初步布置平面图preliminary arrangement plans初始洗涤initial scrubber储放区holding area储罐场tank storage farm储液槽storage tank处理厂treatment plant传达室gate house传导性conductivity传热流体heat transfer fluid串联的池室consecutive bath chamber纯度purity纯度合格的三氯氢硅desired purities of TSC纯度合格的四氯化硅desired purities of STC纯净水purified water纯品储罐pure storage tank纯三氯氢硅pure TCS纯三氯氢硅储罐pure TCS holding tank纯三氯氢硅罐pure-TCS tank纯三氯氢硅加料罐pure TCS feed head tank纯水pure water纯四氯化硅pure STC粗三氯氢硅储罐crude TCS tank催化剂catalysts带旋流器的备用氯化炉standby chlorinator with the cyclone袋装冶金硅tote bag me-Si单晶硅方棒single crystal silicon square ingot单晶硅头尾料nose and tail material of single crystal silicon单晶及硅片加工车间single crystal silicon and silicon wafer processing plant 单晶拉制monocrystal pulling单线图one-line diagram道路road低成本太阳能用硅low-cost silicon for solar battery purpose低能洗涤器low energy imparting scrubber低能中和系统low energy imparting neutralization system低品位三氯氢硅low grade TCS低热值Lower heating value低温低压氯化工艺low temperature and pressure chlorination process低压lower voltage低压氯化法low pressure chlorination process底馏分塔bottom cut tower电极夹具electrode holder电价electricity price电流加热heated by electrical current电气设计electrical design电阻率resistivity调节到合格点to be controlled at a desired point调压阀pressure control valve (PCV)动作action独立的洗涤器装置separate scrubber unit钝化处理passivation treatment。
点云数据转换成实体模型通过基于点的立体像素化立体像素PointCloudDataConversionintoSolidModelsviaPoint-BasedVoxelization1 2 3 4Tommy Hinks ; Hamish Carr ; Linh Truong-Hong ; and Debra F. Laefer, M.ASCEAbstract:Automatedconversionofpointclouddatafromlaserscanninginto formatsappropriateforstructuralengineeringholdsgreatprom- iseforexploitingincreasinglyavailableaeriallyandterrestriallybase dpixelizeddataforawiderangeofsurveying-relatedapplicationsfrom environmental modeling to disaster management. This paper introduces a point-based voxelization method to automatically transform pointclouddataintosolidmodelsforcomputationalmodeling.Thefundamentalvi abilityofthetechniqueisvisuallydemonstratedforbothaerial andterrestrialdata.Foraerialandterrestrialdata,thiswasachievedinl essthan30sfordatasetsupto650,000points.Inallcases,thesolid models converged without any user intervention when processed in a commercial ?nite-element method program. DOI: 10.1061/ASCESU.1943-5428.0000097 2013 American Society of Civil Engineers.CE Database subject headings: Data processing; Surveys; Finite element method; Information management.Author keywords: Terrestrial; Aerial; Laser scanning; LiDAR; Voxelization; Computational modeling; Solid models; Finite element.Introductionexist.Thispaperlaysthegroundworkforkeyadvancementinsucha pipeline. The procedure proposed herein to reconstruct buildingLaser scanning has achieved great prominence within the civil en- facadesfrompointcloud,whichisafundamentalstepforgenerating gineering community in recent years for topics as divergent as city-scale computational models.coastline monitoring Olsen et al. 2009, 2011, airport layout op- timization Parrish and Nowak 2009, and ground-displacementidenti?cation for water-system risk assessment Stewart et al.FacadeReconstruction2009. Additionally, there has been strong motivation to obtainfurther functionality from laser scanning and other remote-sensing Inrecentyears,developmentsinlaser-scanningtechnologyand?ight-data, including three-dimensional 3D volume estimation forpath planning have allowed aerial laser scanning ALS to acquire mining Mukherji 2012, road documentation Dong et al. 2007,pointclouddataquicklyandaccuratelyatacityscale,therebyhaving structuralidenti?cationShanandLee2005;Zhangetal.2012,and thepotentialforreconstructing3Dbuildingsurfacesacrossanentire emergency planning Laefer and Pradhan 2006. Furthermore,city in nearly real time. A number of approaches based on semi- computational responses of city-scale building groups are increas- automaticLangandForstner1996andautomaticHenricssonetal. inglyindemandforheightenedurbanization,disastermanagement,1996techniqueshavebeenproposedtoreconstructbuildingmodelsand microclimate modeling, but input data are typically too ex- from such data sets, but automatically extracting highly detailed, pensive as a result of the need for manual surveying. Additionally, accurate,andcomplexbuildingsstillremainsachallengeHaalaandcurrent software tools for transforming remote-sensing data into Kada 2010. The semiautomatic procedures need human operator computationalmodelshaveoneormoreofthefollowingproblems: intelligence.TheautomaticvisualmodelingofurbanareasfromALS alowdegreeofreliability,aninabilitytocapturepotentiallycritical data tends to extract sample points for an individual building by details,and/oraneedforahighdegreeofhumaninteraction.Todate, applying segmentation techniques and then reconstructing eacha seamless, automated, and robust transformation pipeline frombuilding individually. In such cases, vertical facade surfaces are notremote-sensing data into city-scale computational models does not portrayed in detail, and outlines may be of relatively low accuracy unless ground planes are integrated, which requires either a priori1 informationormanualintervention.Unfortunately,theeffectivenessDoctoralRecipient,SchoolofComputerScienceandInformatics,Univ.of engineering modeling often depends largely on the geometricCollege Dublin, Bel?eld, Dublin 4, Ireland. E-mail: ******************2accuracy and details of the building models?thus the currentSeniorLecturer,SchoolofComputing,FacultyofEngineering,Univ.ofmismatch.Leeds, Leeds LS2 9JT, U.K. E-mail: h.carr@//0>.3Post-doctoral Researcher, Urban Modelling Group, School of Civil, Presently, commercial products are generally semiautomatic StructuralandEnvironmentalEngineering,Univ.CollegeDublin,Bel?eld, Laefer et al. 2011, whereas in the computer graphics and photo- Dublin 4, Ireland. E-mail: linh.truonghong@gmailgrammetry communities, researchers have focused on automated4AssociateProfessor,LeadPI,UrbanModellingGroup,SchoolofCivil,surfacereconstructionfromdenseandregularsamplepointsHoppeStructuralandEnvironmentalEngineering,Univ.CollegeDublin,Bel?eld, 1994; Kazhdan et al. 2006. Unfortunately, ALS data are oftenDublin 4, Ireland corresponding author. E-mail: ******************* sparse and irregular, and may contain major occlusions on vertical Note.ThismanuscriptwassubmittedonNovember16,2011; approvedsurfaces owing to street- and self-shadowing Hinks et al. 2009.on September 10, 2012; published online on September 13, 2012. Discus- Dedicated urban modeling surface-reconstruction approachession period open until October 1, 2013; separate discussions must be generallyusethemajorbuildingplanesChenandChen2007andsubmitted for individual papers. This paper is part of the Journal ofcan be described as either model-driven or data-driven. Model-Surveying Engineering, Vol. 139, No. 2, May 1, 2013ASCE, ISSN0733-9453/2013/2-72?83/$25.00. driven techniques use a ?xed set of geometric primitives that are72 / JOURNALOFSURVEYINGENGINEERING?ASCE / MAY2013J. Surv. Eng. 2013.139:72-83.Downloaded from by East China Inst of Tech on 04/13/13.Copyright ASCE. For personal use only; all rights reserved.Fig. 1. Work?ow of the proposed approach: *Collection and preparation of LiDAR data involve multiple steps outside the scope of this paper’s scienti?ccontribution;thesegenerallyincludeplanning,collection,re gistration,and?ltering;seeTruong-Hong2011andHinks2011forfurther detailsttedtothepointdata.Suchtechniquescanbeeffectivewhenadataset is sparse because the ?tting of geometric primitives does not require complete data. In contrast, data-driven techniques derive surfaces directly from the point data and are capable of modeling arbitrarilyshapedbuildings.Generally,data-drivenapproachesaremore?exiblethanmodel-drivenapproaches,butareoftensensitiveto noise in the input data.For strictly visual representation, model-driven approachescanbeeffective.Forexample,Haalaetal.1998 proposed four dif-ferent primitives and their combinations to automatically derive 3D building geometry of houses from ALS and existing ground planes.Similarly, Maas and Vosselman 1999 introduced an invariantmoment-basedalgorithmfortheparametersofastandardgabled-roofhouse type that allowed for modeling asymmetric elements such as dormers. However, these efforts assume homogeneous point dis-Fig. 2. Octree representationtributions, which is unrealistic. You et al. 2003 also adapted a set of geometric primitives and ?tting strategies to model complex buildings with irregular shapes, but the approach required user interventionandgeneratedonlylimitedwalldetails.Huetal.2004used a combination of linear and nonlinear ?tting primitives to SolidModelingreconstructacomplexbuilding,inwhichaerialimagerywasusedtore?ne the models. To generate building models directly from point cloud data forIncontrast,manydata-driventechniquesoperatingonALSdata engineering simulations [e.g., FEM], there are three dominant reconstruct roof shapes directly from sample points of roof planes. methods:1constructivesolidgeometryCSG,whereobjectsareSubsequently, the remainder of the building is simply extruded represented using Boolean combinations of simpler objects; 2 to the ground level from the roof-shape outlines. Vosselman and boundary representations B-reps, where object surfaces are rep- Dijkman2001usedaHoughtransformforextractionofplanefaces resentedeitherexplicitly orimplicitly;and3spatialsubdivision roofplanesfromtheALSdata,andthen3Dbuildingmodelswere representations,wherean objectdomain is decomposed intocells reconstructed by combining ground planes and the detected roof withsimple topologic and geometric structure, such as regular planes.Hofmannetal.2003introducedamethodtoextractplanar gridsandoctreesGoldman2009;HoffmannandRossignac1996;roof faces by analyzing triangle mesh slopes and orientations from there are many extensive treatises available for in-depth consid-a triangular irregular network structure generated from ALS data. eration of this topic B?hm et al. 1984; Rossignac and Requicha More recently, Dorninger and Pfeifer 2008 used an a-shape ap- 1984, 1999.proach to determine a roof outline from point clouds of the roof Generating solid models automatically from point cloud data projectedontoahorizontalplane.Also,ZhouandNeumann2010 is particularly important because the cost of manually creating created impressive buildings for a large urban area by using a vol- solid models of existing objects is far greater than the associated umetric modeling approach in which roof planes were determined hardware,software,andtrainingcosts.Assuch,spatialsubdivision based on a normal vector obtained from analysis of grid cells be- representations are used extensively for creating solid models of longingtorooflayers.However,thesemodelsarealsoextrudedand buildings in which regular grids or octrees are employed to de- lack vertical-wall details. compose an entire object intononoverlapping 3D regions, com-Therefore, this paper presents an automated approach to con- monly referred to as voxels. Voxels are usually connected andverting point clouds of individual buildings into solid models for described a simple topologic and geometric structure. In grids, structural analysis by means of computational analysis in which avolumeissubdividedintosmallerregionsbyappropriateplanes thepointcloudthatweresemiautomaticallysegmentedfromLight parallel to the coordinate system axes,typically using aCartesian Detection and Ranging LiDAR data become the input Fig. 1. coordinate system. An initial voxel bounding all point data re-Notably, this proposed approach focuses on reconstructing solid cursively divides a volume into eight subvoxels, organized in modelsbyusingvoxelgridswiththecriticalparameteraseitherthe a hierarchical structure Samet 1989. Voxels may be labeled voxel size or the number of voxel grids; for more details on col- white,black,orgraybasedontheirpositionsFig.2.Blackvoxels lecting ALS and terrestrial laser scanning TLS data and on are completely inside the solid, whereas white voxels are com- segmenting point clouds, see Truong-Hong 2011andHinks pletelyoutside.Voxelswithbothblackandwhitechildrenaregray 2011. Hoffmann and Rossignac 1996.JOURNALOFSURVEYINGENGINEERING?ASCE / MAY2013 / 73J. Surv. Eng. 2013.139:72-83.Downloaded from by East China Inst of Tech on 04/13/13. Copyright ASCE. For personal use only; all rights reserved.Fig.3.Voxelgridspanningavolumeina3Dspaceboundedbyx ,x ,y ,y ,andz ,z ,whe reDx,Dy,andDzarevoxelsizes andmin min minN , N , and N are the number of voxels in each directionx y zIn an application of spatial subdivision for surface recon-struction,CurlessandLevoy1996presentedavolumetricmethodforintegratingrangeimagestoreconstruc tanobject’ssurfacebasedon acumulative weighted signed-distancefunction. Unfortunately,the approach is not suited for arbitrary objects. In related work, GuarnieriandPontin2005builtatriangulatedmeshofanobject’ssurfacebycombiningaconsensussurface[asproposedbyWheeleret al. 1998], an octree representation, and the marching-cubesalgorithm Lorensen and Cline 1987. This multifaceted algorithmFig. 4. Point-based voxelization avoids surface reconstruction and canreducetheeffectofthenoiseowingtosurfacesampling,sensoroperates directly on point datameasurements,andregistrationerrors.However,foroptimalresults,themethodrequiresmodi?cationofparametersthatdependheavilyon input-data characteristics such as the voxel size, the threshold value for the angle, and the distance between two consecutive neighbor-range viewpoints. z 2zminN? 1 ?3?zDzThevoxelhaseightlatticeverticesassociatedwithsixrectangular VoxelizationfacesFig.3.Eachinteriorvoxelhas26neighboringvoxels,witheight sharing a vertex,12 sharing an edge,and six sharing a face. Critical to octree/quadree representations for further processing is Conversely,anexteriororinteriorvoxelonahole’sboundaryoften voxelization. This term describes the conversion of any type of has only 17 neighboring voxels four sharing a vertex, eight geometric or volumetric object such as a curve, surface, solid, or sharinganedge,and?vesharingaface.Moreover,mostexisting computedtomographicdataintovolumetricdatastoredina3Darray voxelization techniques operate on surface representations ofof voxels Karabassi et al. 1999. Initially, a voxel grid divides objects, where a signi?cant part of the problem is to identifya bounded 3D region into a set of cells, which are referred to as throughwhichvoxelsthesurfacespass.Suchmethodsarereferredvoxels. The division is typically conducted in the axial directions to as surface-based voxelization Cohen-Or and Kaufman 1995of a Cartesian coordinate system. Before voxelization, three pairs [Fig.4a?c].Incontrast,thepoint-basedvoxelizationinthispaper ofcoordinatevalues??x , x , ?y , y , and ?z , z ? aremin min minoperates directly on the point data and does not require a derived createdalongthethreeaxesX, Y, and Zde?ningaglobalsystemsurface [Fig. 4a?c]. Point-based voxelization is conceptually Fig. 3. The basic idea of a voxelization algorithm is to examine much simpler than surface-based voxelization algorithms, and whethervoxelsbelongtotheobjectofinterestandtoassignavalue whereas the mechanisms are well known, they have not beenof 1 or 0,respectively Karabassi et al. 1999; a further description applied to generating solid modeling of buildings from LiDARof voxel grids is available in Cohen and Kaufman 1990.data.An initial voxel bounding all point cloud data in 3D Euclidean3Asmentionedearlier,eachvoxelisclassi?edasactiveorinactivespaceR is subdivided into subset voxels by grids along the x-, y-, corresponding to binary values based on the sample points within andz-coordinatesinaCartesiancoordinatesystem.Eachvoxelinthethat voxel [Eq. 4]subset is represented by an index v?i, j, k?, where i2?0; N 21 , xj2?0; N 21 , and k2?0; N 21 Fig. 3. With the dimensionsy zactive ifn$TnofindividualvoxelsDx, Dy, Dz,anumberofvoxelsN , N , Nx y zf n?4?valong each direction are given in Eqs. 1?3 inactive ifn,Tnwheretheargumentn5numberofpointsmapping to avoxel,andx 2xmin T 5user-speci?edthresholdvalue.Typically,T 51,whichmeansn nN? 1 ?1?xDxthat voxels containing at least one mapping point are classi?edasactiveandallothersasinactive.Moresophisticateddensity-basedy 2yminclassi?cation functions can be designed. An example is shown inN? 1 ?2?yDyFig. 5.74 / JOURNALOFSURVEYINGENGINEERING?ASCE / MAY2013J. Surv. Eng. 2013.139:72-83.Downloaded from by East China Inst of Tech on 04/13/13. Copyright ASCE. For personal use only; all rights reserved.Fig. 5. Voxelization model of front building of Trinity College, Dublin, Ireland, created by a voxel grid: a input data set of 245,000 ALS points;bvoxelizationmodelwithvoxelsizeDx5Dy5Dz50:25m;cvoxelclassi?cationwiththethresholdT51andvoxelizationmodelwithaboutn5,000 active voxels n is the largest number of points mapping to asingle voxelFig. 6. Solid model componentsProposedConversionofVoxelizedModelsintoSolidModelsTo reconstruct vertical surfaces of building models, a voxel grid is used to divide data points in a bounded 3D region into smallervoxels. Important facade features such as windows and doors are subsequently detected basedon a voxel’s characteristics, where an inactive voxel represents the inside of an opening. Consequently, building models are converted into an appropriate format for com- putational processing.Anobjectisde?nedbyitssurfaceboundary,whichthenmustbeFig. 7. Face orientation as dictated by the right-hand ruleconvertedintoanappropriatesolidrepresentationcompatiblewithcommercialcomputationalpackages.Althoughmanyschemesareavailable,B-repsarehereinadoptedbecauseoftheircompatibilitywith commercial structural-analysis software e.g., ANSYS soft- Keypointsarerepresentedbya3Dcoordinateofasingularpoint.ware Laefer et al. 2011. The proposed method de?nes both the An edge is de?ned as the connection between exactly two keygeometry and topology of an object by a set of nonoverlappingpoints;forexample,theedgee 5fP, Pgistheedgewithstartingij i jandendingpointP.Notably,edgeshaveanorientation;asfaces approximate the boundary of the solid model. This section pointPi jsuch, e 52eThus, the edges e and e would be ?ipped. EdgepresentsabriefdescriptionoftheB-repschemeimplementedintheij ji ij jiproposed approach; for more details, see Goldman 2009. Ge- ?ipping is important when de?ning an orientable face for dis-ometry is de?ned by key singular points, with each point rep- tinguishing the inside from the outside.resenting a speci?c location in space. Topology is de?ned by Similarly, faces represent surfaces of a solid model that areconnections between key points. When used together, they can connections between edges. The faces are further connected de?neasolidmodelFig.6.DatastructuresfordescribingB-reps to form volumes. A face is de?ned as a list of edgesoften capture the incidence relations between a face and its f5fe ,e ,.,e g that involve closed paths. A face01 12 ?n22??n21?bounding edges and an edge and its bounding vertices, whichconsistingofthreekeypointsisatriangle,whereasqu。
id page section no title18 1.2.1例题1盒子里的气球29 1.2.1例题2图书馆313 1.2.2例题1钓鱼413 1.2.2例题2照亮的山景515 1.2.2例题3镜子盒619 1.2.3例题1折纸痕720 1.2.3例题2三色多边形820 1.2.3例题3聪明的学生923 1.2.3例题4丢失的数1028 1.2.4例题1月亮之眼1129 1.2.4例题2Yanghee的数表1231 1.2.4例题3原子链1336 1.3.1引例铁轨1438 1.3.1引例小球钟——时间与运动1540 1.3.1引例笑脸1644 1.3.2引例猜猜我想说什么1750 1.3.3引例勇士Ilya的故事1852 1.3.3例题1蚂蚁和瓢虫1954 1.3.3例题2隔三遍历2061 1.3.4引例拯救大兵瑞恩的故事2162 1.3.4引例英雄和公主的故事2264 1.3.4引例电气工程师2367 1.3.5引例爱丽丝和精灵的故事2468 1.3.5例题1电缆2569 1.3.5引例黑白按钮2670 1.3.5例题2煎饼2772 1.3.5引例傻瓜Ivanushka的故事2875 1.3.5例题3士兵排队2976 1.3.5例题4最小可靠交换3080 1.4.1例题1代码等式3181 1.4.1例题2团伙3281 1.4.1例题3银河英雄传说3382 1.4.1例题4可爱的猴子3483 1.4.1例题5蜗牛3589 1.4.2例题1积水3689 1.4.2例题2赛车3790 1.4.2例题3可怜的奶牛3891 1.4.2例题4最轻巧的语言3997 1.4.3例题1马尔可夫链4099 1.4.3例题2促销41102 1.4.3例题3采矿42108 1.4.4例题1火星地图43110 1.4.4例题2最长回文子串44113 1.5.1例题1括号序列45116 1.5.1例题2棋盘分割46117 1.5.1例题3决斗47117 1.5.1例题4“舞蹈家”怀特先生48119 1.5.1例题5积木游戏49123 1.5.2例题1方块消除50123 1.5.2例题2公路巡逻51125 1.5.2例题3并行期望值52126 1.5.2例题4高性能计算机53130 1.5.2例题5模板匹配54131 1.5.2例题6不可分解的编码55133 1.5.2例题7青蛙的烦恼56134 1.5.2例题8排列问题57135 1.5.2例题9最优排序二叉树58138 1.5.2例题10Bugs公司59139 1.5.2例题11迷宫统计60142 1.5.2例题12贪吃的九头龙61150 1.5.3问题1最长公共子序列问题62150 1.5.3例题1排列的LCS问题63151 1.5.3问题2最长上升子序列问题64151 1.5.3问题3最优二分检索树65152 1.5.3问题4任务调度问题66155 1.5.3例题2序列分割67160 1.6.2引例加密网格68162 1.6.2引例最优程序69164 1.6.2引例旋转的玩具70169 1.6.3引例编辑书稿71171 1.6.3引例埃及分数72175 1.6.4引例三角形大战73178 1.6.4例题1L游戏74180 1.6.5例题1带宽75181 1.6.5例题2小木棍76181 1.6.5例题3生日蛋糕77183 1.6.5例题4汽车问题78184 1.6.5例题5Betsy的旅行79189 1.6.6例题1外公的难题80193 1.6.7例题1篮球冠军赛81204 2.1例题1 “麻烦”子82204 2.1例题2沙漠83205 2.1例题3浪人苏比84206 2.1例题4好动的佳佳85207 2.1例题5细菌86208 2.1例题6X行星87220 2.2.1例题1佳佳的困惑88220 2.2.1例题2除法表达式89221 2.2.1例题3数字游戏90221 2.2.1例题4fibonacci质数91222 2.2.1例题5神秘数92225 2.2.2例题1自动取款机93226 2.2.2例题2人类学家的烦恼94226 2.2.2例题3征服者的军营95233 2.2.3例题1仓库问题96233 2.2.3例题2二进制Stirling数97234 2.2.3例题3荒岛野人98240 2.3.2例题1单色三角形99243 2.3.2引例互不攻击的象##245 2.3.3例题1传球游戏##247 2.3.3例题2无聊的排序##252 2.3.3例题3多边形##257 2.3.4例题1装饰栅栏##258 2.3.4例题2Pibonacci数##259 2.3.4例题3巧克力##274 2.4.2例题1绣花##275 2.4.2例题2漆门##275 2.4.2例题3原始基因##276 2.4.2例题4超级翻转##281 2.4.3例题1地图的五着色##282 2.4.3例题2滑雪##283 2.4.3例题3水平可见线段的三角形##287 2.4.4例题1往返路##287 2.4.4例题2连通图编号问题##287 2.4.4例题3跳舞蝇##289 2.4.4例题4参观洞穴##291 2.4.4例题5公主和英雄##293 2.4.4例题6通讯员##295 2.4.4例题7幼儿园小朋友分组##299 2.5.1引例岛国##300 2.5.1引例野餐计划##303 2.5.1引例地震##304 2.5.2引例罗密欧与朱丽叶##306 2.5.2引例出纳员的雇佣##308 2.5.2例题1瘦陀陀与胖陀陀##309 2.5.2例题2新桥##310 2.5.2例题3穿越沙漠##311 2.5.2例题4隐型石头##312 2.5.2例题5双调路径##315 2.5.3引例奶牛的新年晚会##317 2.5.3引例航天计划问题##318 2.5.3引例终极情报网##323 2.5.3例题1圆桌吃饭问题##324 2.5.3例题2数字游戏##324 2.5.3例题3混合图的欧拉回路##325 2.5.3例题4家园##326 2.5.3例题5道路扩容##329 2.5.4引例神奇的魔术师##331 2.5.4引例任务安排##332 2.5.4引例棋盘上的骑士##333 2.5.4引例丘比特的烦恼##333 2.5.4引例魔术球问题##334 2.5.4例题1皇家卫士##336 2.5.4例题2固定分区的内存管理##336 2.5.4例题3玩具兵##338 2.5.4例题4千年盛典##353 3.1.2例题1房间最短路问题##359 3.1.2例题2管道问题##387 3.3.1例题1篱笆问题##388 3.3.1例题2合金制造问题##401 3.3.4例题1点集的直径##402 3.3.4例题2最小外接矩形##404 3.3.4例题3点集分割##410 3.4.1例题1锡刀problem sourceACM/ICPC World Finals 2002. Problem A. Balloons in a BoxACM/ICPC Regional Contest Northeast Europe 2001. Problem G. Library. Author: Elena Kryuchkova, Roman Elizarov ACM/ICPC Regional Contest East Central North America 1999. Problem G. Gone FishingCentral European Olympiad in Informatics 2000. Day 2 Problem 3. Enlightened LandscapeBaltic Olympiad in Informatics 2001. Day 1 Problem 3. MirrorACM/ICPC Regional Contest South Pacific 1992. Problem F. Paper FoldingThird USU personal programming contest, Ekaterinburg, Russia, February 16, 2002. Author:Dmitry Filimonenkov CTSC 2001. Day 1 Problem 3. Clever. Author: Li Zhang(Classic)Balkan Olympiad in Informatics 1998. Day 2 Problem 2. Evil EyesACM/ICPC Regional Contest Asia-Taejon 2000. Problem H. Lost ListsCentral European Olympiad in Informatics 2001. Day 1 Problem 1. ChainACM/ICPC Regional Contest Central European 1997. Problem A. RailsACM/ICPC World Finals 1995. Problem B. Tempus et mobilius Time and MotionInternet Problem Solving Contest 2001. Problem F. A Censored SmileIOI2002 Practice Session Problem 2. String from substringsUSU high school programming contest 2001. Problem G.Ilya Murumetz. Author: Katz O.E.Polish Olympiad in Informatics 2001. Stage II Problem 4. Ants and the ladybugPolish Olympiad in Informatics 1995. Stage III Problem 2. Step Traversing a TreeCTSC 1999. Day 2 Problem 3. RescueACM/ICPC Regional Contest Asia-Shanghai 1999. Problem I. Princess and HeroCentral European Olympiad in Informatics 1996. Day 2 Problem 3. ElectricianInternet Problem Solving Contest 2000. Problem C. TrollsACM/ICPC Regional Contest Northeast Europe 2001. Problem C. Cable Master. Author: Vladimir Pinaev, Roman Elizaro Internet Problem Solving Contest 2000. Problem F. PuzzleUniversity of Duke Programming Contest 1993. Problem C. Stacks of FlapjacksUSU high school programming contest 2001. Problem A. Gaby Ivanushka. Author: Shamgunov N.Central European Olympiad in Informatics 1998. Day 2 Problem 1. SolidersACM/ICPC Regional Contest Central European 2001. Problem E. ExchangesPolish Olympiad in Informatics 1998. Stage II Problem 2. Word EquationsBaltic Olympiad in Informatics 2003. Day 2 Problem 1. The GangsNOI2002 Day 1 Problem 1. Galaxy. Author: Ji LuoPolish Olympiad in Informatics 2003. Stage III Problem 1. Monkey(Classic)Polish Olympiad in Informatics 1999. Stage III Problem 6. WaterCentral European Olympiad in Informatics 2003. Day 1 Problem 3. The RaceOIBH Reminiscene Programming Contest. Problem E. Eat or Not to Eat. Author: Rujia LiuPolish Olympiad in Informatics 1998. Stage III Problem 4. The lightest languageCTSC 2001. Day 2 Problem 2. Markov. Author: Runting ShiPolish Olympiad in Informatics 2000. Stage III Problem 6. PromotionPolish Olympiad in Informatics 2001. Stage III Problem 5. GoldmineBaltic Olympiad in Informatics 2001. Day 2 Problem 2. Mars MapsACM/ICPC Regional Contest Asia-Kanpur 2001. Problem E. Viewer's Prize in F-TVACM/ICPC Regional Contest Northeast Europe 2001. Problem B. Bracket Sequence. Author: Andrew StankevichNOI99 Day 2 Problem 1. ChessPolish Olympiad in Informatics 1999. Stage I Problem 1. MusketeersACM/ICPC Regional Contest Asia-Shanghai 2000. Problem C. Dance Dance RevolutionNOI97 Day 2 Problem 2. GameIOI2003 National Training Team Originals. Author: Cailiang Liu. ModifiedCTSC2000. Day 1 Problem 3. Patrol. Author: Shenjie LiACM/ICPC Regional Contest Asia-Tehran 2001. Problem G. Parallel ExpectationIOI2001 National Training Team Winter Camp. Problem 2. HPC. Author: Xin QiCentral European Olympiad in Informatics 2001. Day 2 Problem 2. PatternsACM/ICPC World Finals 2002. Problem B. Undecodable Codes(Classic)(Classic)CTSC2001. Day 2 Problem 2. Tree. Author: Fan YangCentral European Olympiad in Informatics 2002. Day 1 Problem 1. BugsElite Problemsetters' First Contest. Problem A. Maze Statistics. Author: Derek KismanNOI2002 Day 1 Problem 3. Dragon. Modification of Internet Problem Solving Contest 2001. B. Author: Ziqing Mao (Classic)(Classic)(Classic)(Classic)IOI2002 Day 2 Problem 1. BatchBalkan Olympiad in Informatics 2003. Day 2 Problem 2. Euro. ModifiedCentral European Olympiad in Informatics 1996. Day 1 Problem 1. Encoding GridACM/ICPC Regional Contest Southwestern Europe 1996. Problem A. Optimal ProgramsACM/ICPC Regional Contest Southwestern Europe 1999. Problem E. Color HashACM/ICPC Regional Contest Asia-Kanpur 2001. Problem G. Editing a Book(Classic)ACM/ICPC Regional Contest East Central North America 1999. Problem A. Traingle WarBaltic Olympiad in Informatics 2002. Day 2 Problem 2. L game. Author: Jimmy MårdellNew Zealand Programming Contest 1991. Problem A. BandwidthACM/ICPC Regional Contest Central Europe 1995. Problem H. SticksNOI99 Day 1 Problem 3. CakeIOI94 Day 2 Problem 1. CarUSACO Computing Olympiad4th Shuguang Programming Contest. Author: Rujia LiuBaltic Olympiad in Informatics 1999. Day 1 Problem 3. BasketballUral Collegiate Programming Contest, April 2001, Perm English TourRomanian Open Contest, December 2001. Author: Mugurel Ionut AndreicaIOI99 National Training Team Originals. Author: Fangfang XiaIV Ural State University Collegiate Programming Contest. Problem G. Nikifor's Walk. Author: Dmitry Filimonenkov Internet Problem Solving Contest 2003. Problem H. Hordes of BacteriaCentral European Olympiad in Informatics 2000. Day 1 Problem 1. X-PlanetUSU Open Collegiate Programming Contest March'2001 Senior Session. Problem F. Nikifor. Author: Filimonenkov D. Baltic Olympiad in Informatics 2000. Day 2 Problem 1. DIVRandy Game. Problem D. Number Game. Author: Chong LongACM/ICPC World Finals Warm-up Contest(Oriental) 2002, Problem A. The Fibonacci Primes. Author: Shahriar Manzoor ACM/ICPC Regional Contest Southeastern European 2001. Problem C. Secret NumbersPolish Olympiad in Informatics 1998. Stage III Problem 2. ATM'sACM/ICPC Regional Contest Southwestern Europe 1999. Problem B. The Archeologists' DilemmaCentral European Olympiad in Informatics 2002. Day 1 Problem 2. ConquerTetrahedron Team Contest May 2001. Problem H. Warehouse Problem. Author: D. FilimonenkovACM/ICPC Regional Contest Central Europe 2001. Problem B. Binary Stirling Numbers.NOI2002. Day 2 Problem 1. Savages. Author: Rujia LiuPolish Olympiad in Informatics 1997. Stage III Problem 5. Monochromatic TrianglesACM/ICPC World Finals Warm-up Contest(Oriental) 2002, Problem B. Bishops. Author: Rezaul Alam ChowdhuryIOI2000 National Training Team Originals. Author: Yi GuoACM/ICPC World Finals 2002. Problem H. Silly Sort(Classic)Central European Olympiad in Informatics 2002. Day 1 Problem 3. FenceInternet Problem Solving Contest 2001. Problem G. FibonacciACM/ICPC Regional Contest Beijing 2002. Problem F. ChocolateUral Collegiate Programming Contest '99. Problem H. Cross-Stitch. Author: Zaletsky PIV Ural State University Collegiate Programming Contest. Problem F. Door Painting. Author: Magaz AsanovPolish Olympiad in Informatics 1999. Stage III Problem 5. PrimitivusIOI2003 National Training Team Originals. Author: Zhilei Xu.(Classic)Polish Olympiad in Informatics 2000. Stage I Problem 3. SkiersACM/ICPC Regional Contest Central Europe 2001. Problem H. Horizontally Visible SegmentsCentral European Olympiad in Informatics 2001. Day 1 Problem 3. Round Trip(Classic)Polish Olympiad in Informatics 2001. Stage III Problem 1. Wandering flees TrainersCentral European Olympiad in Informatics 1997. Day 1 Problem 1. CAVACM/ICPC Regional Contest Central Europe 2001. Problem A. Alice and BobPolish Olympiad in Informatics 1996. Stage I Problem 3. MessengersIV Ural State University Collegiate Programming Contest. Problem E. Partition into Groups. Author: Dmitry Filimonenko ACM/ICPC World Finals 2002. Problem E. IslandACM/ICPC Regional Contest East Central North America 2000. Problem A. PicnicUSACO Computing Olympiad US Open 2001. Problem 2. EarthquakeInternet Problem Solving Contest 1999. Problem H. Romeo and JulietACM/ICPC Regional Contest Asia-Tehran 2000. Problem G. Cashier EmploymentACM/ICPC World Finals Warm-up Contest(Occidental) 2002. Problem A. Asterix and Obelix. Author: Rezaul Alam Cho Balkan Olympiad in Informatics 2000. Day 2 Problem 1. BridgeACM/ICPC World Finals 2002. Problem C. Crossing the DesertACM/ICPC Regional Warm-up Contest 2002. Problem D. The Rock. Author: Jimmy MårdellBaltic Olympiad in Informatics 2002. Day 2 Problem 1. Bicriterial routingUSA Computing Olympiad Winter 2002. Problem 2. New Years Party. Author: Hal Burch(Classic)CTSC2001. Day 1 Problem 1. Agent. Authro: Li ZhangACM/ICPC World Finals Warm-up Contest(Occidental) 2002. Problem D. The Grand Dinner. Author: Rezaul Alam Chow UVA Monthly Contest. Problem H. The Eagles' Nest. Author: Monirul HasanACM/ICPC Regional Contest Northwestern Europe 2002. Problem G. Sightseeing tour. Author: Jimmy MårdellCTSC1999. Day 1 Problem 3. HomelandIOI2000 National Training Team Originals. Author: Li ZhangInternet Problem Solving Contest 2001. Problem H. MagicACM/ICPC Regional Contest Asia-Beijing 2002. Problem G. Machine ScheduleBaltic Olympiad in Informatics 2001. Day 2 Problem 1. KnightCTSC2000. Day 2 Problem 1. Cupid. Author: Fan YangOIBH Reminiscene Programming Contest. Problem H. Hanoi Tower Troubls Again! Author: Rujia LiuCentral European Olympiad in Informatics 2002. Day 2 Problem 2. GuardACM/ICPC World Finals 2001. Problem G. Fixed Partition Memory ManagementCTSC2002. Day 1 Problem 3. Toy. Author: Rujia LiuCTSC2003. Day 1 Problem 3. Ceremony. Author: Rujia LiuACM/ICPC Regional Contest Mid-Central North America 1996. Problem B. The doorACM/ICPC Regional Contest Central Europe 1995. Problem D. Pipe(Classic)(Classic)(Classic)ACM/ICPC Regioanl Warmup 2001. Problem F. Smallest Bounding Rectangle. Author: Rezaul Alam ChowdhuryACM/ICPC World Finals Warm-up Contest(Occidental) 2002. Problem K. The Great Divide. Author: Rezaul Alam Chow ACM/ICPC Regional Contest Central Europe 1996. Problem A. Tin Cutterdata submit how2submit n ny y ural1188 y y uva757n ny ny y uva177n y ural1181 y nn ny nn ny ny y uva514n y uva239y ny nn y ural1088 y ny ny nn y uva258n ny ny y ural1184 y ny y uva120n y ural1082 y ny y zju1388y ny ny ny nn ny ny ny y uva10273 y nn ny ny ny nn ny y ural1183 y ny nn ny ny y uva10559 y ny y zju1022y ny nn nn y ural1143n ny ny ny y uva10531y nn nn nn y uva10534(slightly modified) n y uva10304y ny nn ny y uva656n y uva704n ny ny y uva751y ny y uva140y y uva307y ny ny ny ny nn y ural1155n y ural1170y nn y ural1130y ny nn y ural1095y ny y uva10164n y uva10236y yy nn y uva701y nn y ural1107n y zju1385y y uva10413y nn y uva10237y nn nn ny ny ny y zju1363n y ural1035 n y ural1129 y nn nn ny ny y zju1391 y nn ny ny ny y zju1384 y nn y ural1128 n ny yy ny ny y zju1420 n y uva10246 y nn nn y uva10381 y ny nn ny nn y uva10249 y y uva10546 y y zju1992 y ny ny ny y zju1364 y ny ny y uva10276 y nn ny y uva10418 y ny y uva393 y y uva303 n nn nn nn y uva10173 n y uva10256 y y uva308。
应用地球化学元素丰度数据手册迟清华鄢明才编著地质出版社·北京·1内容提要本书汇编了国内外不同研究者提出的火成岩、沉积岩、变质岩、土壤、水系沉积物、泛滥平原沉积物、浅海沉积物和大陆地壳的化学组成与元素丰度,同时列出了勘查地球化学和环境地球化学研究中常用的中国主要地球化学标准物质的标准值,所提供内容均为地球化学工作者所必须了解的各种重要地质介质的地球化学基础数据。
本书供从事地球化学、岩石学、勘查地球化学、生态环境与农业地球化学、地质样品分析测试、矿产勘查、基础地质等领域的研究者阅读,也可供地球科学其它领域的研究者使用。
图书在版编目(CIP)数据应用地球化学元素丰度数据手册/迟清华,鄢明才编著. -北京:地质出版社,2007.12ISBN 978-7-116-05536-0Ⅰ. 应… Ⅱ. ①迟…②鄢…Ⅲ. 地球化学丰度-化学元素-数据-手册Ⅳ. P595-62中国版本图书馆CIP数据核字(2007)第185917号责任编辑:王永奉陈军中责任校对:李玫出版发行:地质出版社社址邮编:北京市海淀区学院路31号,100083电话:(010)82324508(邮购部)网址:电子邮箱:zbs@传真:(010)82310759印刷:北京地大彩印厂开本:889mm×1194mm 1/16印张:10.25字数:260千字印数:1-3000册版次:2007年12月北京第1版•第1次印刷定价:28.00元书号:ISBN 978-7-116-05536-0(如对本书有建议或意见,敬请致电本社;如本社有印装问题,本社负责调换)2关于应用地球化学元素丰度数据手册(代序)地球化学元素丰度数据,即地壳五个圈内多种元素在各种介质、各种尺度内含量的统计数据。
它是应用地球化学研究解决资源与环境问题上重要的资料。
将这些数据资料汇编在一起将使研究人员节省不少查找文献的劳动与时间。
这本小册子就是按照这样的想法编汇的。
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WSEASTransactionsonSystemsC WSEASTransactionsonSystemsC ZeitschriftfurBibliothekswesenundBibliographieCBack。
Introduction 工作坊簡介:結合空間資訊、生物資訊及行為資訊的場域資訊學,近年來不但在研究領域上獲得高度注目,在實務與科技的開發應用上也有蓬勃的發展。
臺大智活特別邀請日本京都大學資訊學教育與研究中心場域資訊學門的教授群,透過工作坊的方式,與參加者深入探討與分享他們的研究經驗與成果。
內容包括了跨國合作格網(Language Grid)、文化工程 (Cultural Computing)、自然觀察(Biologging)、使用者參與式研發 ( Participatory production) 以及嵌入式模擬與遊戲設計( Participatory simulation/gaming)等豐富主題。
Program 議程:TIME TOPIC SPEAKER09:00 – 09:40 Registration09:40 – 10:00 Greeting and brief introduction ofField InformaticsProf. Toru Ishida石田亨 教授(京都大學)Session 1: Computing for Collective Intelligence and Culture10:00 ‐ 11:00 Service Oriented CollectiveIntelligence (Language Grid)Prof. Toru Ishida石田亨 教授(京都大學)11:00 ‐ 12:00 Cultural Computing : ExploringJapanese CultureProf. Naoko Tosa土佐尚子 教授(京都大學)12:00 – 13:30 LunchSession 2: Sensing Activities in Field13:30 ‐ 14:30 Biologging Asst. Prof. Junichi Okuyama奥山隼一 助理教授(京都大學)14:30 – 15:00 Tea BreakSession 3: Participatory Approaches15:00 ‐ 16:00 Participatory Production by End Usersand Industrial AccumulationProf. Hajime Kita喜多一 教授(京都大學)16:00 ‐ 17:00 Participatory simulation/gaming forscience communication: The role ofexperimentation in building futureAsso. Prof. Reiko Hishiyama菱山玲子 副教授(早稻田大學)※ 全程採英文演說,現場將不會提供同步中文翻譯。
Institut National Polytechnique de Lorraine(INPL) is a public University of Technology and amember ofthe ‘Nancy Université’ federation.INPL has 28 research laboratories dedicated toteaching and to research, integrating the latesttechnological innovations.The TU Bergakademie Freiberg’s central conceptis to endeavor in research areas that respond to thedemands of industry. With its four core themes -Geosciences, Materials, Energy and Environment,it has a very distinct profile addressing the specificissues of our modern industrial world.featuring the common Earth model aiming at aunique approach to geometry, topology andproperties. It is a software package, a scientificproject, and a business run by Paradigm Geophysics.gOcad was developed by the gOcad Consortiumwhich is a multidisciplinary team of researchersstriving to define new approaches to build andupdate 3D subsurface models.ProMine is an EU FP7 research projectworking to integrate the mapping of metaland mineral resources across the Union, toproduce the first pan-European GIS-baseddatabase. On from this, new sustainableextraction and processing technologies arebeing developed along with a range of newnano products manufactured from Europeansourced raw materials. The ProMine projectseeks to employ an inclusive and consultativeapproach, with an aim to improve the imageof mining whilst reinforcing industrial links.Particular attention is being paid to long termsustainability and environmental concerns,reflecting current directives from the RawMaterials Initiative.The project commenced on May 1st 2009, andis coordinated by the Geological Survey ofFinland (GTK), and made up of 27 partnersin 11 countries working closely together overa four year period.gOcad Training Course:Numerical modeling anddatabase building for 3Dgeological modelinghttp://promine.gtk.fi/www/http://tu-freiberg.de/http://english.inpl-nancy.fr/3d modeling of a bedding and a fault planeSCOPEThe scope is to provide practitioners form the exploration and mining industry theoretical concepts and training requested for building realistic 3D geological models, and resources assessment tools using gOcad. This five day course will alternate between theoretical lectures and practical training exercises ranging from basic concepts (such as, importing data from external database, manipulating borehole properties, building geological contacts and faults, building grids, solid models, visualization), to more advanced geostatistical tools (variography, kriging, simulation, resource assessment). A real case study will be used to conduct training exercises.Lecturers: Jean-Jacques Royer (Centre National de la Recherche Scientifique, CNRS), Guillaume Caumon , Pauline Collon-Drouaillet (Ecole Nationale Supérieure de Géologie, ENSG), and Peggy Melzer (Geoscience Mathematics and Informatics Group, TU Bergakademie Freiberg).COURSE INFORMATIONThe course will be conducted in English. Due to room capacity, the number of participants is limited to a maximum of 20.Participants will learn to use gOcad to build structural geological models and to apply geostatistical tools within the properly modelled geometry and topology.Temporary gOcad licenses sponsored by Paradigm : /COURSE PROGRAMME(L) = Lecture; (E) = Practical Training ExerciseJuly 5, 2010Registration & Welcome(L) The gOcad – Common Earth Model(E) User interface, major visualisation tools, scripts,workflows, wizards etc. (E) Building surfaces and faults (L) Solid model, Sgrid, Voxet (E) Manipulating properties(E) Fennoscandia belt case studyJuly 6, 2010(E) Object oriented geomodeling(E) Importing/exporting data from external database (E) Exchanging data: ArcGIS, MicroStation & goCad database(E) Generating a structural model (L) Introduction to geostatistics (E) Unstructured grid and geostats (E) Foresudetic belt case studyJuly 7, 2010(E) Generating a structural model: - Building surfaces and faults - Solid model, Sgrid, Voxet - Manipulating properties - Visualization tools(E) Hellenic belt case studyJuly 8, 2010(L) Introduction to geostatistics (E) Geostatistics – statistical tools(E) Characterizing spatial variability – variography (L) Kriging and simulation (E) Iberian belt case studyJuly 9, 2010(E) Geostatistics with gOcad Estimating ore in place Closing DiscussionVENUE & TRAVEL DIRECTIONSThe course will be held at:Ecole Nationale Supérieure de Géologie , Bat G, Rue du Doyen Marcel Roubault, BP 40, F 54501 Vandoeuvre-Lès-Nancy.By plane to Nancy-Metz Airport, or Paris, or Luxembourg, take the train or the shuttle bus and then the Tram (see map location on website below).ACCOMMODATIONRooms can be reserved at:Ibis Hotel , Cottage Hotel , and Campanile Hotel nearby INPL, or downtown (see website below).Reservations should be made directly by the participant.For further assistance do not hesitate to contact: fatima.chtioui@COURSE FEES & REGISTRATIONThe course is offered free to ProMine partners.To register, please send an email before the 9th June 2010 to:fatima.chtioui@More information on website/promine/Pictures courtesy of the gOcad Consortium Members。
ESI排名期刊全称1JOURNAL OF POWER SOURCES2JOURNAL OF HAZARDOUS MATERIALS3INTERNATIONAL JOURNAL OF HYDROGEN ENERGY4CHEMICAL ENGINEERING JOURNAL5ENERGY & FUELS6JOURNAL OF HYDROLOGY7FUEL8IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS9INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER10EUROPEAN JOURNAL OF OPERATIONAL RESEARCH11EXPERT SYSTEMS WITH APPLICATIONS12JOURNAL OF FLUID MECHANICS13ENERGY14APPLIED ENERGY15IEEE TRANSACTIONS ON SIGNAL PROCESSING16JOURNAL OF NUCLEAR MATERIALS17IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION18ENERGY CONVERSION AND MANAGEMENT19JOURNAL OF LIGHTWAVE TECHNOLOGY20JOURNAL OF SOUND AND VIBRATION21AUTOMATICA22IEEE TRANSACTIONS ON AUTOMATIC CONTROL23IEEE TRANSACTIONS ON ELECTRON DEVICES24IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLI25IEEE TRANSACTIONS ON POWER ELECTRONICS26RENEWABLE ENERGY27IEEE ELECTRON DEVICE LETTERS28IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES29INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES30APPLIED THERMAL ENGINEERING31SENSORS AND ACTUATORS A-PHYSICAL32IEEE TRANSACTIONS ON IMAGE PROCESSING33IEEE JOURNAL OF SOLID-STATE CIRCUITS34JOURNAL OF MICROMECHANICS AND MICROENGINEERING35COMBUSTION AND FLAME36ELECTRONICS LETTERS37WASTE MANAGEMENT38IEEE TRANSACTIONS ON POWER SYSTEMS39MICROELECTRONIC ENGINEERING40INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOG41ENERGY AND BUILDINGS42IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING43JOURNAL OF CLEANER PRODUCTION44PROCEEDINGS OF THE IEEE45SOLAR ENERGY46INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERI 47INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS48PROCEEDINGS OF THE COMBUSTION INSTITUTE49BUILDING AND ENVIRONMENT50PATTERN RECOGNITION51Progress in Electromagnetics Research-PIER52MEASUREMENT SCIENCE & TECHNOLOGY53ENGINEERING STRUCTURES54IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY55JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS56IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPER 57IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS5859INTERNATIONAL JOURNAL OF PLASTICITY60INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH61IEEE TRANSACTIONS ON POWER DELIVERY62ADVANCES IN WATER RESOURCES63IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQU 64APPLIED MATHEMATICAL MODELLING65IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS66INTERNATIONAL JOURNAL OF THERMAL SCIENCES67FUSION ENGINEERING AND DESIGN6869ENGINEERING FRACTURE MECHANICS70FUZZY SETS AND SYSTEMS71MICROWAVE AND OPTICAL TECHNOLOGY LETTERS72IEEE TRANSACTIONS ON FUZZY SYSTEMS73IEEE SENSORS JOURNAL74INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE75PROGRESS IN PHOTOVOLTAICS76IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT77NONLINEAR DYNAMICS78PATTERN RECOGNITION LETTERS79MECHANICAL SYSTEMS AND SIGNAL PROCESSING80MARINE TECHNOLOGY SOCIETY JOURNAL81AIAA JOURNAL82SIGNAL PROCESSING83TRIBOLOGY INTERNATIONAL84JOURNAL OF MICROELECTROMECHANICAL SYSTEMS85INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER86CHEMICAL ENGINEERING AND PROCESSING87EXPERIMENTS IN FLUIDS88IEEE Antennas and Wireless Propagation Letters89International Journal of Greenhouse Gas Control90PROGRESS IN ENERGY AND COMBUSTION SCIENCE91INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONA 92Microfluidics and Nanofluidics93IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHN 94RELIABILITY ENGINEERING & SYSTEM SAFETY95INTERNATIONAL JOURNAL OF COMPUTER VISION96IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS97NUCLEAR ENGINEERING AND DESIGN98IEEE TRANSACTIONS ON ENERGY CONVERSION99INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEM 100DRYING TECHNOLOGY101TRANSPORTATION RESEARCH RECORD102INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS 103IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIE 104MICROELECTRONICS RELIABILITY105IEEE Transactions on Robotics106IEEE SIGNAL PROCESSING MAGAZINE107IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING108JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE 109IEEE SIGNAL PROCESSING LETTERS110JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME111JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION112IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY113ELECTRIC POWER SYSTEMS RESEARCH114TRIBOLOGY LETTERS115IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATIO 116JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING 117INTERNATIONAL JOURNAL OF IMPACT ENGINEERING118CIRP ANNALS-MANUFACTURING TECHNOLOGY119JOURNAL OF NON-NEWTONIAN FLUID MECHANICS120121JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS122INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW123OPTICAL ENGINEERING124TRANSPORTATION RESEARCH PART B-METHODOLOGICAL125OPERATIONS RESEARCH126127OPTICS AND LASER TECHNOLOGY128SYSTEMS & CONTROL LETTERS129EXPERIMENTAL THERMAL AND FLUID SCIENCE130COMPUTATIONAL MECHANICS131JOURNAL OF GUIDANCE CONTROL AND DYNAMICS132OPTICS AND LASERS IN ENGINEERING133JOURNAL OF PROCESS CONTROL134IET Control Theory and Applications135ERGONOMICS136INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES137INTERNATIONAL JOURNAL OF ENERGY RESEARCH138INTERNATIONAL JOURNAL OF LIFE CYCLE ASSESSMENT139IEEE TRANSACTIONS ON NANOTECHNOLOGY140CONTROL ENGINEERING PRACTICE140MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING142COASTAL ENGINEERING143IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION EN 144JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH145IEEE-ASME TRANSACTIONS ON MECHATRONICS146147OCEAN ENGINEERING148EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS148IEEE TRANSACTIONS ON CONSUMER ELECTRONICS150FUSION SCIENCE AND TECHNOLOGY151TECHNOVATION152153SIAM JOURNAL ON CONTROL AND OPTIMIZATION154ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS155INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE156DISCRETE APPLIED MATHEMATICS157INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS158159STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION160SAFETY SCIENCE161IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 162INDOOR AIR163IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 164THIN-WALLED STRUCTURES165INTERNATIONAL JOURNAL OF MULTIPHASE FLOW166INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL 167JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY168IMAGE AND VISION COMPUTING169170ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS171JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS172173MICROELECTRONICS JOURNAL174Desalination and Water Treatment175IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED 176INTERNATIONAL JOURNAL OF FRACTURE177ANNALS OF NUCLEAR ENERGY178JOURNAL OF FLUIDS AND STRUCTURES179INTERNATIONAL JOURNAL OF CONTROL180JOURNAL OF GLOBAL OPTIMIZATION181MECHANISM AND MACHINE THEORY182JOURNAL OF MECHANICAL DESIGN183JOURNAL OF HYDROLOGIC ENGINEERING184AUTOMATION IN CONSTRUCTION185APPLIED ERGONOMICS186BIOPROCESS AND BIOSYSTEMS ENGINEERING187NUMERICAL HEAT TRANSFER PART A-APPLICATIONS188INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH189METROLOGIA190INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 191IEEE Journal of Selected Topics in Signal Processing192SOIL DYNAMICS AND EARTHQUAKE ENGINEERING193ACTA ASTRONAUTICA194TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATI 195JOURNAL OF VIBRATION AND CONTROL196ACTA MECHANICA197IEEE Transactions on Industrial Informatics198ANNALS OF OPERATIONS RESEARCH199JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED 200JOURNAL OF PROPULSION AND POWER201MEASUREMENT202203MATHEMATICS AND COMPUTERS IN SIMULATION204EUROPEAN JOURNAL OF MECHANICS A-SOLIDS205JOURNAL OF ENGINEERING MECHANICS206IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) 207JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS 208JOURNAL OF AIRCRAFT209210IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY211Journal of Mechanical Science and Technology212ENGINEERING FAILURE ANALYSIS213JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME 214EXPERIMENTAL MECHANICS215INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE216Journal of Display Technology217CANADIAN GEOTECHNICAL JOURNAL218JOURNAL OF MATERIALS IN CIVIL ENGINEERING219GEOTECHNIQUE220PRODUCTION AND OPERATIONS MANAGEMENT221MATHEMATICAL PROBLEMS IN ENGINEERING222COLD REGIONS SCIENCE AND TECHNOLOGY223PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PA 224JOURNAL OF ELECTROSTATICS225ENVIRONMENTAL ENGINEERING SCIENCE226HEAT AND MASS TRANSFER227FINITE ELEMENTS IN ANALYSIS AND DESIGN228IIE TRANSACTIONS229ROBOTICS AND AUTONOMOUS SYSTEMS230STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 231COMBUSTION SCIENCE AND TECHNOLOGY232JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY233TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES234235IEEE Transactions on Smart Grid236WASTE MANAGEMENT & RESEARCH237238MECHANICS RESEARCH COMMUNICATIONS239INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING240JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME 241COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING242INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS243ACI STRUCTURAL JOURNAL244IEEE TRANSACTIONS ON RELIABILITY245INDUSTRIAL MANAGEMENT & DATA SYSTEMS246IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY 247Energies248MECHATRONICS249Science China-Technological Sciences250ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING251IET Microwaves Antennas & Propagation252Energy Sources Part A-Recovery Utilization and Environmen 253IEEE Transactions on Automation Science and Engineering 254NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS255PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PA 256IET Generation Transmission & Distribution257PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PA 258HEAT TRANSFER ENGINEERING259JOURNAL OF HYDRAULIC RESEARCH260JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME261FIRE SAFETY JOURNAL262DIGITAL SIGNAL PROCESSING263JOURNAL OF SPACECRAFT AND ROCKETS264JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSAC 265INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS266WIND ENERGY267JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACT 268OPERATIONS RESEARCH LETTERS269IET Communications270MACHINE LEARNING271Journal of the Society for Information Display272IEICE TRANSACTIONS ON ELECTRONICS273TUNNELLING AND 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Progress in Polymer Science 39 (2014) 365–395Contents lists available at ScienceDirectProgress in PolymerSciencej o u r n a l h o m e p a g e :w w w.e l s e v i e r.c o m /l o c a t e /p p o l y s ciDesign and development of fluorescent nanostructures for bioimagingMengjun Chen,Meizhen Yin ∗State Key Laboratory of Chemical Resource Engineering,Key Laboratory of Carbon Fiber and Functional Polymers,Beijing University of Chemical Technology,Beijing 100029,Chinaa r t i c l ei n f oArticle history:Received 28June 2013Received in revised form 1November 2013Accepted 5November 2013Available online 9 November 2013Keywords:Bioimaging Fluorescence Nanostructures Structural design Sensitivity Selectivitya b s t r a c tBecause fluorescence-based techniques are inherently sensitive,selective,convenient,diverse,non-destructive,potentially real time and in situ ,they have been widely used in biological imaging.Especially those,with specific fluorescent nanostructures (FNSs)as detecting media in bioimaging,have already been intensively studied for more than a decade because of the convenient transduction of optical signal,high sensitivity and rapid response of FNSs.In this review,we summarize the major strategies to design FNSs with specific structures for biological imaging.First,recent advances are briefly introduced.Then,the specific design of FNSs and their applications are reviewed,in which their flu-orescence mechanism,strategies in designing and development,preparation methods,and some representative applications in bioimaging are described.Finally,future per-spectives and ongoing issues of FNSs and their applications in bioimaging are discussed.Although many FNSs have been synthesized and applied biologically,many studies still should be done before they can be widely employed as fluorescent probes in clinical tests.With further advances in design and synthesis of high quality multifunctional FNSs,the widespread application of FNSs may be expected not only in advanced bioimaging,but also in ultra-sensitive molecular diagnosis,novel light-emitting nanodevices and intracellular drug delivery.© 2013 Elsevier Ltd. All rights reserved.Contents 1.Introduction (366)2.Organic fluorescent nanostructures ................................................................................................3672.1.Carbon-based fluorescent nanostructures ..................................................................................3672.2.Fluorescent macromolecules ...............................................................................................3692.2.1.Fluorophore doped macromolecules .............................................................................3692.2.2.Intrinsic-fluorescent macromolecules ............................................................................3702.3.Fluorescent polymeric nanoparticles .......................................................................................3712.4.Fluorescent supermacromolecular nanoassemblies........................................................................3732.5.Aggregation-induced emission fluorophores ...............................................................................3753.Inorganic fluorescent nanostructures ..............................................................................................3763.1.Quantum dots ...............................................................................................................3763.2.Silicon nanoparticles ........................................................................................................3793.3.Fluorescent metallic nanoclusters ..........................................................................................379∗Corresponding author.E-mail address:yinmz@ (M.Yin).0079-6700/$–see front matter © 2013 Elsevier Ltd. All rights reserved./10.1016/j.progpolymsci.2013.11.001366M.Chen,M.Yin/Progress in Polymer Science39 (2014) 365–395plexed inorganicfluorescent nanostructures (380)3.4.1.Upconversion nanoparticles (380)3.4.2.Inorganic core/shellfluorescent nanoparticles (382)anic/inorganic hybridfluorescent nanostructures (383)4.1.Inorganic@organic hybridfluorescent nanostructures (383)anic@inorganic hybridfluorescent nanostructures (384)4.3.Heavy-metal complex (385)5.Perspective (386)6.Summary (387)Acknowledgements (387)References (387)NomenclatureAAc acrylic acidACQ aggregation-caused quenchingAS-ODN antisense oligonucleotideATRP atom transfer radical polymerization BODIPY boron-dipyrrometheneBRET bioluminescent resonance energy transfer COPV1,4-dimethoxy-2,5-di[4 -(cyano)styryl]benzeneCQD carbon quantum dotDMAEMA2-dimethylamino ethyl methacrylate DSA9,10-distyrylanthranceneDSB1,4-distyrylbenzeneECM extracellular matrixFA folic acidFCNPfluorescent capsid nanoparticleFNSfluorescent nanostructureFRETfluorescence resonance energy transfer FQYfluorescence quantum yieldGMA glycidyl methacrylateGQD graphene quantum dotHBC hexa-peri-hexabenzocoroneneHCP hyperbranched conjugated polymer HEMA2-hydroxyethyl methacrylateLBL layer-by-layerLRP living radical polymerizationMEF mouse embryonicfibroblastMMA methyl methacrylateMNP magnetic nanoparticleNC nanoclusterNIPAM N-isopropylacrylamideNIR near-infraredNMRP nitroxide mediated radical polymerization NP nanoparticleNVK N-vinylcarbazolePAMAM poly(amidoamine)PBS phosphate buffered solutionPCPE phosphorescent conjugated polyelectrolyte PDI perylenediimidePEBBLE probe encapsulated by biologically local-ized embeddingPEGMA poly(ethylene glycol)methacrylatePGD polyglycerol dendrimerPS polystyreneQD quantum dotRAFT reversible addition-fragmentation chaintransferRE rare earthRhB rhodamine-BSiNP silicon nanoparticleSWNT single walled carbon nanotubeTPA triphenylamineTPE tetraphenyletheneTPF two-photonfluorescenceTTA triplet–triplet annihilationUCNP upconversion nanoparticleUV ultravioletVBC4-vinylbenzyl chloride1.IntroductionBiological imaging(bioimaging)has become a power-ful tool in biological research today because it offers an unique approach to visualize the morphological details of cells[1].To date,fluorescence-based techniques have been greatly encouraged in bioimaging due to their inher-ent superiorities,such as high sensitivity,high selectivity, convenience,diversity and non-destructive character[2]. Typically,fluorescent probes are exploited to label the tar-get with specific chemical structures and thus to generate fluorescent signals during thefluorescence-based bioimag-ing.Since nanostructure-based detection platforms can provide many advantages over traditional approaches in terms of sensitivity,signal stability and multiplexing capa-bility,a growing interest has been shown recently in the design of differentfluorescent nanostructures(FNSs)asflu-orescent probes in bioimaging[3–6].Currently,the most studied FNSs in bioimaging includefluorescent proteins, organic dyes,metal complexes,semiconductor nanocrys-tals,and upconversion nanophosphors[7–10].In order to obtain a betterfluorescent probe,further works on FNSs with recommended chemical and optical properties have also been reported.For example,surface modification of FNSs has been done with brightfluorescence,high pho-tostability,large Stokes shift andflexible processability in order to be further conjugated with biomolecules and/or fluorophores[6].M.Chen,M.Yin /Progress in Polymer Science 39 (2014) 365–395367In this review,classification of FNSs,their fluorescence mechanisms and applications in bioimaging are summa-rized.According to the compositions and structures of FNSs,they are divided into three classifications,i.e.,organic FNSs,inorganic FNSs and organic/inorganic hybrid FNSs (Fig.1).Based on the classification of FNSs,their design strategies,fluorescing mechanisms,size-dependent opti-cal properties and preparing methods are introduced and discussed.Especially,their representative applications in bioimaging at the cell-and tissue-levels are reviewed.Fur-thermore,potentials of FNSs and their perspectives in the field of bioimaging,based on their advantages and security,are discussed.anic fluorescent nanostructuresAmong all of the FNSs used in bioimaging,organic FNSs are the most widely studied due to their rich chemical structures,easy chemical modification and high fluorescence quantum yield (FQY)[11,12].Gener-ally,these organic FNSs include carbon-based fluorescent nanostructures,fluorescent macromolecules,fluorescent polymeric nanoparticles,fluorescent supermacromolec-ular nanoassemblies and aggregation-induced emission fluorophores.2.1.Carbon-based fluorescent nanostructuresCarbon-based FNSs are the basic organic fluorescent materials with only carbon elements and are currently one of the most attractive nanomaterials with different forms,such as fullerenes,single-and multiple-walled car-bon nanotubes,carbon nanoparticles,nanofibers,and so forth.Such carbon-based FNSs have become importantdue to their unique chemical and physical properties (i.e.,good thermal and electrical conductivity,high mechani-cal strength and optical properties),which are essential in many biomedical areas,such as bioimaging,drug delivery,tissue scaffold reinforcements,and cellular sensors [13].However,these carbon-based nanomaterials show size-dependent toxicity.Moreover,cytotoxicity is enhanced when their surface is functionalized after an acid treatment.Therefore,further effort should be made on carbon-based FNSs [14].Recently,zero-dimensional carbon-based FNSs,such as carbon quantum dots (CQDs)[15–18]and graphene quan-tum dots (GQDs)[19,20],have aroused great interest in bioimaging due to their strongly multiphoton-fluorescence and extremely large two-photon crosssections on pulsed laser excitation (800–900nm)[21,22].For example,Yang et al.[22]prepared nontoxic fluorescent CQDs with surface-passivation by oligomeric PEG 1500N .In addition to the apparent biocompatibility,CQDs exhibited competitive (on the order of magnitude,at least)fluorescence imag-ing performance to that of the commercial CdSe/ZnS QDs (introduced in the following),demonstrating their poten-tials for both in vitro and in vivo applications.Similarly,Qian et al.[23]synthesized a series of functionalized GQDs with different small organic molecules (dialcohols,diamines and dithiols).By altering size and surface functionalization of GQDs,effective modulation of their photoluminescence could be achieved,which could render great performance of GQDs in HeLa cell bioimaging.Since many reviews have been published on the advantages of such zero-dimensional carbon-based FNSs in bioimaging [24–26],they will not be discussed extensively in this review.Compared with the materials mentioned above,car-bon nanotubes have shown unique opticalpropertiesFig.1.Classification of fluorescent nanostrucutures (FNSs)based on their different chemical structural compositions.368M.Chen,M.Yin /Progress in Polymer Science 39 (2014) 365–395in biological application [27–29].Single walled carbon nanotubes (SWNT)are upcoming potential candidates for the fluorescence imaging agents because they generate fluorescence brightly in the 800–1600nm wavelength range of the near-infrared (NIR)region that has greater penetration depth and lower excitation scattering [30,31](FQY =1.7×10−4–10−3),which has been shown very useful in biological tissue imaging.One key advantage of SWNTs is their ability to translocate through plasma membranes,allowing their use for the delivery of therapeutically active molecules in a manner that resembles cell-penetrating peptides [28].As labeling or imaging agents,SWNTs are bright enough to allow image deep inside living body at high frame rate without excessive excitation power [32].For example,Robinson et al.[33]demonstratedthe application of intravenously injected SWNTs as pho-toluminescent agents for in vivo tumor imaging in the 1.0–1.4m emission region with a high tumor uptake of SWNTs,which is the first time to use the intrinsic NIR photoluminescence of SWNTs for tumor imaging.Generally,fluorescence imaging of SWNTs provide pow-erful tools to trace the interactions of nanotubes with cells,tissues,and organisms.And the auto-fluorescence in the NIR region is much lower than that in the ultraviolet or visible ranges.These properties make SWNTs potential imaging agents with higher resolution and greater tissue depth for NIR fluorescence microscopy and optical coher-ence tomography.However,aggregation of nanotubes into bundles that quenches the fluorescence through interac-tions with metallic tubes and substantially broadens theTable 1The most reported organic dyes conjugated to fluorescent uni-macromolecules.Small organic fluorophoresGeneral structural formulaRefs.Anthracene[44]Coumarin[45–48]BODIPY[49–51]Fluorescein[52–56]Rhodamine[57–59]Perylenebisimides[60–65]Cyanine[66–71]Donor--acceptor or acceptor--acceptor fluorenylderivatives[72–75]M.Chen,M.Yin /Progress in Polymer Science 39 (2014) 365–395369absorption spectra [34].Therefore great effort should is needed to improve the dispersion of individual SWNT for better performance of SWNT in bioimaging.2.2.Fluorescent macromoleculesA fluorescent macromolecule is an individual organic macromolecule that generates fluorescence after the absorption of excitation light.Depending on the fluorescent mechanism,fluorescent macromolecules can be usually divided into two classes:(1)fluorophore-doped macro-molecules and (2)intrinsic-fluorescent macromolecules.2.2.1.Fluorophore doped macromoleculesA fluorophore-doped macromolecule is a unimolec-ular nanostructure with organic fluorophores.And the fluorophores have been identified as small organic dye molecules or their derivatives with resonant emission [35–43],such as fluorescein,rhodamine,perylene,cya-nines,boron-dipyrromethene (BODIPY),and two-photon absorbing materials.The most often reported fluoropho-res are summarized in Table 1.And these macromolecules exhibited asymmetric emission spectra (400–700nm,only a few NIR dyes could reach above 700nm;FQY =0.5–1.0(visible),0.05–0.25(NIR))as the original fluorophores did.The fluorophore-doped macromolecules,such as den-drimers and hyperbranched macromolecules (Fig.2),were developed into core–shell structures via the following strategies [76,77].The macromolecules could display the original fluorescence with the chromophores located in the core or the branch sites or the periphery.Meanwhile,the desired properties of probes,such as stability,biocompat-ibility,and specificity of labeling,would be obtained by grafting or growing the shell.A dendrimer is a nanoscaled macromolecule with well-defined branching structure.Fluorescent dendrimer can be prepared with high regularity and controllable molecu-lar weights,and it has a fluorophore-doped central core linked covalently to uniform repeating units (generations)and many terminal groups.Those well-defined dendrimers were reported as imaging agents in gene deliverysystemFig.2.Structures of fluorescent dendrimer and hyperbranched macro-molecules.The chromophores could be in the central core or the branch sites or the periphery (indicated by arrows).[78–84],in which higher generation materials (G6or G7)were required because low generation dendrimers could not condense siRNA into uniformly small complexes [85].However,due to the increased toxicity of their grow-ing generations [86],it is very important to improve the biocompatibility of dendrimers.Recently,Yin and co-workers [60]reported the preparation of G1,G2and G3of perylenediimide (PDI)-cored cationic dendrimer with peripheral amine groups,which could rapidly enter live cells with high gene transfection efficiency and low cyto-toxicity (Fig.3).Yang et al.[87]also synthesized monova-lent probe on a ring-fused BODIPY core that is conjugated to a polyglycerol dendrimer (PGD),which has exhibited excel-lent brightness with an emission maximum at 705nm.Unlike dendrimers,fluorescent hyperbranched macro-molecules suffer from difficulty in structural control,because its functional groups are located randomly,and not all the reactive sites in the repeat units have -pared with highly regular dendrimers,structural defects of fluorescent hyperbranched macromolecule offer better flexibility for its bioimaging applications,because both the branching arms and branching points could provide the reactive sites for the incorporation of functional groups.Among these fluorescent hyperbranched macromolecules,star polymers are the simplest branched material,with several linear polymer chains attached to a single branch-ing point (core)[88–90].The “core-first”method mostly starts from a fluorescent macro-initiator (core)and the well-defined architecture can be realized via living radi-cal polymerization (LRP).Radical polymerization approach offers several advantages,especially in terms of com-patibility with both aqueous and organic media as well as an excellent tolerance to many functional groups.LRP includes nitroxide mediated radical polymerization (NMRP)[91,92],reversible addition-fragmentation chain transfer (RAFT)polymerization [93–96],and atom trans-fer radical polymerization (ATRP)[97–99].Among the reported LRP techniques,ATRP is most frequently used in the preparation of well-defined fluorescent star poly-mers.Yin and Müllen [100–105]reported several examples using this method.For example,they successfully synthe-sized a positively charged fluorescent core–shell dendritic star polymer [102].They started with a macro-initiator with a central PDI chromophore and a first-generation polyphenylene dendrimer scaffold,then initiated the outer shell,which was consisted of eight-armed linear polymers with multiple amine groups (Fig.4(a)R1).Such designed structure exhibited great water solubility and fluores-cent property with positive charges,which could bind to the highly negatively charged extracellular matrix (ECM,Fig.4(b)).Similarly,they synthesized a series of negatively charged dendritic star polymers with eight-armed linear polymers bearing multiple carboxyl groups (Fig.4(a)R2),aiming at specifically staining the cell nucleus by binding to positively charged nuclear proteins (Fig.4(c))[105].Addi-tionally,some complicated fluorescent hyperbranched macromolecule have also been reported,in which the fluo-rophores could be conjugated in the branched arms [106]or cores [65]to achieve desired optical properties.Such structures offered more available strategies for site-specific covalent labeling of cells or tissues.370M.Chen,M.Yin /Progress in Polymer Science 39 (2014) 365–395Fig.3.Fluorescence images (a–c)of the G3-DNA complex inside of cells after 48h of incubation.(a)G3fluorescence image (red);(b)CXR reference dye labeled DNA (blue);(c)merged channels of (a)and (b);(d)structure of perylenediimide (PDI)-cored dendrimers [60],Copyright 2013.(For interpretation of the references to color in this figure legend,the reader is referred to the web version of the article.)Adapted with permission from the Royal Society of Chemistry.Generally,the optical property of fluorophore-doped macromolecule is attributed to the conjugated fluoropho-res,while its specific labeling capability is owing to the superficial functional groups.Moreover,the sizes of these macromolecules could be in the range of 1–20nm [101],which are dependent on the designed structure and the chemical environment (pH,solvent,temperature,etc.).By tuning the polymer arms or the generation of macroinitia-tor,the size of the nanostructure could be controlled,which would further affect its performance in specific fluorescentlabeling in the following two ways [107,108]:(1)the flu-orescence intensity of dendritic structure is determined by its generation;(2)higher dendron leads to larger size and offers more superficial functional groups to combine biological targets.2.2.2.Intrinsic-fluorescent macromoleculesAn intrinsic-fluorescent macromolecule is a type of nanostructure that exhibits fluorescence (400–500nm)without fluorophore conjugation (FQY =0.025–0.98).Fig.4.(a)Structure of fluorescent core–shell dendritic star polymer (R1:positively charged,R2:negatively charged);(b)fluorescent image of R1labeled extracellular matrix;(c)fluorescent image of R2labeled nuclear proteins [102,105],Copyright 2008.Reproduced,respectively,with permission from the American Chemical Society and Wiley-VCH Verlag GmbH &Co.KGaA,Weinheim.M.Chen,M.Yin/Progress in Polymer Science39 (2014) 365–395371Fig.5.(a)Optical and(b)fluorescence microscopic images of C6cells transfected with the complex offluorescent G4PAMAM dendrimer and AS-ODN for 12h[114],Copyright2011.Adapted with permission from the American Chemical Society.Representative examples are dendrimers or hyper-branched macromolecules with aliphatic tertiary amine,such as the hyperbranched poly(amine-ester), poly(amidoamine)(PAMAM),poly(propyletherimine) dendrimers and so on[109–113].Since these FNSs are considered as biocompatible,nonimmunogenic and water-soluble gene vehicles,they exhibit many potential advantages in bio-applications.For example,Tsai et al. [114]successfully synthesized PAMAM dendrimers with numerous primary amines on the surface.The dendrimers with intrinsic bluefluorescence obtained were used to monitor the gene delivery and transfection toward rat C6glioma cells directly.They also combine antisense oligonucleotides(AS-ODN)with PAMAM dendrimers elec-trostatically to knock down specific protein expressions. Based onfluorescence of the resulted PAMAM–(AS-ODN) complexes,the uptake process could be evaluated directly viafluorescence techniques(Fig.5).As newfluores-cent probe materials in bioimaging,intrinsic-fluorescent macromolecules attracted substantial interest to under-stand their luminous mechanism.However,fluorescence of these FNSs can be quenched easily and strongfluores-cence has been observed only in vapor phase.Therefore, Pan and his co-workers[115–117]made great effort to retain the strongfluorescence of these FNSs.Although intrinsic-fluorescent macromolecules have been exten-sively studied[118,119],so far the intrinsic-fluorescent mechanism has not been studied systemically.2.3.Fluorescent polymeric nanoparticlesDye-doped polymer nanoparticles(NPs)are cross-linked polymeric spheres in whichfluorescent dyes were covalently attached or physically entrapped.Typically, these FNSs were synthesized through the copolymerization offluorescent monomers with other functional monomers [120–126]or the encapsulation offluorescent organic dye molecules inside or on the matrix(Fig.6)[127–130]. Because of polymeric NPs supports(with sizes of∼100nm), the composite FNSs exhibit good biocompatibility,con-trollable morphology and original optical property of the doped dye.By usingfluorescent monomer,the required optical properties could be introduced into the product after the polymerization.Because the chromophore was incorpo-rated in the particle via chemical bond,the resulted FNPs had good stability and desiredfluorescence.For instance, Marco et al.[131]synthesized afluorescent monomer via binding thefluorescent dye Rhodamine-B(RhB)and 2-hydroxyethyl methacrylate(HEMA)covalently,then producedfluorescent NPs via the free radical emulsion copolymerization of thefluorescent monomer with methyl methacrylate(MMA)for bioimaging.Similarly,Sauer et al.[132]synthesized afluorescent surfmer(surfactant monomer)by combining surface activity,polymerizabil-ity andfluorescent property within one molecule.By using thefluorescent surfmer,fluorescent surface-labeled polystyrene(PS)NPs were synthesized via miniemulsion polymerization.This approach could offer the potential to size-controlledfluorescent NPs by using specific poly-merization.In addition,the steric hindrance of polymeric nanoparticle should be considered during the material design and the analysis of properties.Due to the limited number offluorescent monomers for polymerization,other better ways are still beingexplored Fig.6.Two strategies towardfluorescent polymeric nanoparticles:(a) polymerization offluorescent monomers;(b)encapsulatingfluorophores inside or attachingfluorophores onto the bare polymeric nanoparticles.372M.Chen,M.Yin /Progress in Polymer Science 39 (2014) 365–395Fig.7.Estimation of in vivo stabilities of rFCNP and DsRed that are subcutaneously injected into BALB/cSlc-nu mice (female 4weeks old,JAPAN SLC,Inc.)[133],Copyright 2012.Reproduced with permission from Elsevier Ltd.to synthesize NPs with good fluorescent properties.Wherein,the bare polymeric NPs with desired sizes were prepared first and then the combination of dyes was real-ized to achieve their fluorescence via chemical cross-links.Due to the chemical cross-links,the composite FNSs were very stable,but special functional groups were required for the integration between NPs and fluorophores.Varied sized fluorescent polymeric NPs could have different kinetic profiles,uptake and distribution rates,etc.There-fore,multifunctional FNSs were developed on the basis of various support polymeric materials.Yoo et al.[133]syn-thesized hepatitis B virus capsid particles and genetically grafted fluorescent protein (DsRed or eGFP)onto their surface,which resulted in the construction of red or greenfluorescent capsid nanoparticles (FCNPs).Because of the in vivo high stability inside of mice,such FCNPs seemed to have a great potential as an effective and non-cytotoxic tool for in vivo optical imaging,compared with the single fluorescent protein monomer (Fig.7).Certainly,these FNSs might expose the fluorophores in external environment,causing fluorophore oxidation or photobleaching,thus their photostability could not be improved.In the physical interaction,fluorescent molecules were usually directly involved inside the matrix NPs without any chemical interaction.The polymeric NPs acted as a protecting agent to improve the stability and compatibil-ity of the FNSs in the physiological environment.In this way,hydrophobic fluorophores could also beconsideredFig.8.(a)Chemical structures of phosphorescent PtTFPP reporter and PFO;(b)fluorescent images of MEF cells stained with MM2(10g/mL,16h)[136],Copyright 2012.Reproduced with permission from WILEY-VCH Verlag GmbH &Co.KGaA,Weinheim.M.Chen,M.Yin/Progress in Polymer Science39 (2014) 365–395373Fig.9.The process of specific labeling and the comparison offluorescence intensity between single dye molecule and dye-doped nanoparticles.in bioimaging through encapsulation within hydrophilic polymeric NPs.Dye-doped NPs via physical method were probes encapsulated by biologically localized embedding (PEBBLE)and widely used as probes for bio-sensing and imaging in live cells[134,135].For example,Kondrashina et al.[136]reported a new cell-penetrating phosphores-cent nanosensor material,MM2probe,by embedding the following two novel dyes into cationic hydrogel NPs:(1) phosphorescent reporter dye,PtTFPP(Fig.8(e));(2)O2-insensitive referencefluorophore(PFO,Fig.8(e))as one-and two-photon light harvesting antennae andfluores-cence resonance energy transfer(FRET)donor for PtTFPP. The formed PEBBLEs(MM2)were applied in sensing and imaging of(intra)cellular oxygen of mouse embryonic fibroblast(MEF)(Fig.8(a)–(d)).The procedure did not require any special functionality of doped dyes as long as they had enough affinity to the involved polymeric NPs.However,without covalent binding between thefluo-rophore and the matrix,dye molecules can be disassociated from the particles over time,which decreases per-particle brightness and increases the background signal.Therefore it is a challenge to improve the photostability of thefluo-rescent NPs by physical methods.Generally,during inserting thefluorescent dye into matrix NPs by covalent attachment or physical entrap-ment to produce designedfluorescent polymeric NPs, the size of every individual FNS was determined by the size of the supporting polymeric NP,and the size-independent optical property was related to the type and the amount of incorporatedfluorophores.The polymer sec-tion of the composites,either as matrix or protecting agent, contributes to the uniform distribution of the involved fluorophores,which could efficiently avoid quenching or pared withfluorescent macro-molecules,fluorescent polymeric NPs obtained from these procedures could produce a highly amplified optical signal (Fig.9)due to the incorporation of several dye molecules. Although quantification of the dopedfluorophores couldn’t be accurately controlled in each NP,it did not exhibit any obvious negative effect on the bioimaging.2.4.Fluorescent supermacromolecular nanoassembliesFluorescent supermacromolecular nanoassem-blies,such as micelles/vesicles[137–140],nanofibers [103,141–143],nanowires[144]and nanotubes[145], have been studied for bioimaging(Fig.10).Thesefluo-rescent nanostructures were formed through assembly of small organic dye molecules[146]and/orfluorescent Fig.10.Different supermacromolecular nano-assemblies formed by self-assembly offluorescent units.The assemblies included micelles/vesicles [137–140],nanofibers[103,141–143],nanowires[144]and nanotubes [145].copolymers[147,148].The reported intermolecular inter-actions and the self-assembly mechanism are summarized in Table2.As reported,the assembling could occur under certain conditions,including solvent,temperature,etc., thus the assembling chance of either small organic dye molecules orfluorescent copolymers was limited.There-fore,the experimental conditions should be accurately controlled.However,the size of FNS(usually in range of 1.5–160nm as reported)could not be easily controlled because of the complexity of assembling process.It is well known thatfluorescent units with amphiphilic structures could self-assemble into vesicle/micelle-like aggregates,which are resulted from the intermolecular interaction within hydrophobic and hydrophilic moieties, respectively.Since copolymers could be designed to have different functions in the block sections,amphiphilic polymers are generally inclined to self-assemble into uniform structures.Therefore,fluorescent amphiphilic structures are usually designed as graft[160]or block [161,162]copolymers.For instance,Chang et al.[163] synthesized a Rhodamine B(RhB)-anchored amphiphilic poly(poly(ethylene glycol)methacrylate)-b-poly(glycidyl methacrylate)block copolymer(PPEGMA-b-PGMA/RhB), in which the inter-molecular interaction of RhB resulted in the assembledfluorescent NPs.The nanoassem-bly PPEGMA-b-PGMA/RhB was then introduced into HeLa cells and the HeLa cells exhibited goodfluores-cence images(Fig.11).Li et al.[160]also reported the similar results by using comb-like graft copolymer poly((N-vinylcarbazole)-co-(4-vinylbenzyl chloride))-comb-poly(((2-dimethylamino)ethylmethacrylate)-co-(acrylic acid))(P(NVK-co-VBC)-comb-(DMAEMA-co-AAc)) to produce self-assembled hollow vesicles with multi-walls,which even exhibited goodfluorescence intensity in aqueous pared with liner copolymers, self-assembly of functional star polymers provides a convenient method to construct nanoaggregates with different functionalities[164].For example,Cheng et al. [165]successfully synthesized star polymers by using a。
Compressive Strength and Rapid Chloride Permeability ofConcretes with Ground Fly Ash and SlagOzkan Sengul 1and Mehmet Ali Tasdemir 2Abstract:Concretes with binary and ternary blends of portland cement,finely ground fly ash and finely ground granulated blast furnace slag were produced to investigate their effects on compressive strength and rapid chloride permeability.Portland cement was partially replaced by finely ground fly ash ͑Blaine specific surface:604m 2/kg ͒and finely ground granulated blast furnace slag ͑Blaine specific surface:600m 2/kg ͒.Two series of concrete with water/binder ratios of 0.60and 0.38were produced and for both water/binder ratios,portland cement was replaced by:͑i ͒50%fly ash;͑ii ͒50%blast furnace slag;and ͑iii ͒25%fly ash+25%blast furnace slag.At the high water/binder ratio,compressive strengths of the concretes with the pozzolans are lower compared to that of the portland cement concrete.At the low water/binder ratio,however,these strength reductions are less compared to the high water/binder ratio and compressive strength of the concrete produced with 50%slag was even higher than the portland cement concrete.The test results indicate the ground fly ash and ground granulated blast furnace slag greatly reduce the rapid chloride permeability of concrete.It was concluded that to reduce the chloride permeability of concrete,inclusion of pozzolans are more effective than decreasing the water/cement ratio.DOI:10.1061/͑ASCE ͒0899-1561͑2009͒21:9͑494͒CE Database subject headings:Fly ash;Slag;Compressive strength;Chlorides;Optimization;Concrete;Portland cements;Permeability .IntroductionCement production is an energy intensive process which also has an important effect on the environment.Producing one ton of portland cement releases about one ton of CO 2green house gas into atmosphere and as a result of this production 1.6billion tons of CO 2is released every year which is estimated at about 7%of the CO 2production worldwide ͑Mehta 2001;Malhotra 1999͒.The pressure of ecological constraints and environmental regulations are bound to increase in the coming years which will lead to greater use of supplementary cementitious materials such as fly ash or ground granulated blast furnace slag ͑GGBS ͒͑Aitcin 2000͒.There are two major reasons to use these by-products in concrete:͑1͒decreasing cement consumption by replacing part of cement with these pozzolanic materials and ͑2͒improving fresh and hardened concrete properties.In recent years,the reduction of water/cement ratio by using superplasticizers and usage of ul-trafine mineral admixtures lead to high performance concrete.Be-side the advantages,pozzolanic materials have certain drawbacks.To overcome some of the disadvantages and to be able to use the pozzolan in higher amounts,quality of the pozzolan can be im-proved.Chemical composition,particle-size distribution,fineness,andpozzolanic activity,and curing conditions of concrete are impor-tant factors affecting the properties of concretes with pozzolanic materials ͑ACI Committee 2321996;ACI Committee 2331995;ACI Committee 2341996͒.In recent years,it has been shown that the filler effect of mineral admixtures may be as important as their pozzolanic effects;according to some researchers,however,the filler effect can be more important than the pozzolanic effect ͑Goldman and Bentur 1993;Isaia et al.2003͒.Particle-size dis-tribution clearly plays a very important role in the rate of chemi-cal reactivity and in the water demand.Pozzolanic reaction takes place on the surface of the particles and increasing surface area has an important effect on pozzolanic activity.Thus,the fineness of the pozzolan is very important for the improvement of cement paste-aggregate interfacial zone,which is the weakest link in con-crete.In a previous investigation done by the research group of this study ͑Demir et al.2002͒,a coarse F type fly ash with a Blaine surface area ͑BSA ͒of 222m 2/kg was ground to four different finenesses such as 337,450,538,and 604m 2/kg.The purpose of the work mentioned was to study the effects of fly ash grinding on physical properties and strength development of concrete.It was concluded that as the fineness of fly ash increases,the compres-sive strength of concrete increases significantly.The particle size is an important factor also for the pozzolanic activity of the granulated blast furnace slag.Similar to the fly ash,the strength of slag concretes also increases with slag fineness ͑Tasdemir et al.1997;Niu et al.2002͒.Besides increasing the fineness,another solution to overcome the disadvantages of using high amounts of pozzolan,is to use ternary or quaternary blends of portland cement and pozzolans.By using different pozzolans together,some of the shortcomings can be compensated and more environmentally friendly concretes with specific properties can be obtained.The main objective of the work presented herein is to investi-gate the effects of ground fly ash and blast furnace slag on com-1Assistant Professor Doctor,Faculty of Civil Engineering,Istanbul Technical Univ.,34469Maslak,Istanbul,Turkey ͑corresponding author ͒.E-mail:sengulozk@.tr 2Professor Doctor,Faculty of Civil Engineering,Istanbul Technical Univ.,34469Maslak,Istanbul,Turkey.Note.This manuscript was submitted on December 17,2007;ap-proved on March 26,2009;published online on August 14,2009.Dis-cussion period open until February 1,2010;separate discussions must be submitted for individual papers.This paper is part of the Journal of Materials in Civil Engineering ,V ol.21,No.9,September 1,2009.©ASCE,ISSN 0899-1561/2009/9-494–501/$25.00.D o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .pressive strength and chloride permeability of concrete at high replacement percentages.In this work,a finely ground low-lime fly ash ͑Blaine fineness of 604m 2/kg ͒and finely ground blast furnace slag ͑Blaine fineness of 600m 2/kg ͒were used in normal and high strength concretes to partially replace ordinary portland cement with a replacement amount of 50%.Concretes with ter-nary blends were also produced containing 25%fly ash and 25%pressive strength and rapid chloride ion permeability of the concretes were obtained at 28and 90days.To attain a durable concrete mixture low chloride permeability should be obtained.Achieving high compressive strength in a concrete structure is important for structural safety.The cost of concrete is also impor-tant from the applicability point of view.For this purpose a mul-tiobjective optimization method was performed in which the compressive strength was maximized but the rapid chloride per-meability and the cost were minimized.The responses in the op-timization were considered to be of equal importance.Experimental Details MaterialsSame ordinary portland cement ͑PC 42.5͒,finely ground fly ash,and finely ground blast furnace slag were used in the concretes.The 7-and 28-day compressive strengths of the standard RILEM-Cembureau cement mortars were 45.8and 57.3MPa,respec-tively.The fly ash used in this study was brought from Catalagzi power plant,which is located in the northwest coast region of Black Sea in Turkey.The blast furnace slag was obtained from Karabük production plant also located in the same region.Chemi-cal compositions of ordinary portland cement ͑OPC ͒,fly ash and slag are shown in Table 1.The fly ash and blast furnace slag were ground in a laboratory ball mill.The original Blaine fineness of the fly ash was 222m 2/kg and was increased to 604m 2/kg by grinding.The ground blast furnace slag used in this study also had Blaine fine-ness of 600m 2/kg.Some physical properties of the fly ash and slag are shown in Table 2.The average particle size of the fly ash used was relatively fine and characterized by a high density.In this study,the ground fly ash indicated in Table 2was used.Physical properties of the fly ash such as density and fineness change as it is ground.The physical changes due to grinding are:͑1͒the fineness of fly ash increases;͑2͒there is a remarkable increase in density by reduc-ing the porosity of the fly ash particles;and ͑3͒the spherical fly ash particles transform into the mostly irregular shapes;somesmall fly ash particles keep their original shapes.These conclu-sions were also reported in other works ͑Demir et al.2002;Sen-gul et al.2005͒.Effects of grinding on the fly ash particles are shown in Fig.1.Fig.2shows that the average particle size de-creases by grinding of the coarse fly ash.Table 1.Chemical Compositions of Portland Cement,Fly Ash,and Slag Oxide composition ͑%͒OPC ͑PC 42.5͒Fly ash Blast furnace slag SiO 220.060.240.5Fe 2O 3 3.6 6.7 1.2Al 2O 3 5.121.810.3CaO 63.2 2.532.2MgO 1.1 1.611.3SO 3 2.80.5 1.3K 2O 0.8 4.9 1.1Na 2O 0.30.50.35Cl -0.030.0060.0105Loss on ignition2.80.31.9Table 2.Some Physical Properties of Fly Ash and Blast Furnace SlagPropertyFly ashBlast furnace slag Before grinding After grinding Density2.00 2.51 2.86BSA,m 2/kg222604600Retained on 200m sieve,%12.00.00.0Retained on 90m sieve,%33.00.70.0Retained on 45m sieve,%50.03.70.2(a)Original fly ash particles (before grinding)(Blaine surface area:222m 2/kg)(b)Ground fly ash particles (Blaine surface area:450m 2/kg)(c)Ground fly ash particles (Blaine surface area:604m 2/kg)Fig.1.SEM images of ground fly ash particles:͑a ͒original particles;͑b ͒ground fly ash,BSA:450m 2/kg;and ͑c ͒ground fly ash,BSA:604m 2/kgD o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .Pozzolanic ActivityPozzolanic activity is one of the critical properties of the mineral admixtures and there are different methods for the determination of the pozzolanic activity of these materials.For the fly ash used in this study,the pozzolanic activity test with lime was done according to ASTM C 311–85͑ASTM 1985a ͒.The test results obtained are given in Table 3together with ASTM C 618–85limits ͑ASTM 1985b ͒.An increase in the fineness of the fly ash leads to a substantial increase in its activity index at 7days.As seen in Table 3,increasing the BSA from 222to 604m 2/kg has resulted in an increase of approximately 80%in corresponding compressive strengths at 7days.Pozzolanic activity of the slag was obtained according to ASTM C989-06͑ASTM 2006͒which is based on the comparison of the compressive strengths of reference cement mortars and those of mortars produced with portland cement-slag blend.ASTM C989-06͑ASTM 2006͒mentions three grades for slag:Grade 80,Grade 100,Grade 120.The requirements for these grades and the results obtained for the slag used in this study are shown in Table 4.Based on these test results,the ground slag used can be classified as Grade 100.However,it should be noted that the results obtained are very close to the limits for Grade 120.Mixture ProportioningTwo series of concretes were produced with water/binder ratios of 0.60and 0.38.For both water/binder ratios;portland cement was replaced by:͑i ͒50%finely ground fly ash;͑ii ͒50%finely GGBS;and ͑iii ͒25%finely ground fly ash+25%finely GGBS.In all concretes,partial replacement of cement by fly ash and slag wason one to one weight basis.Portland cement concretes were also produced for each water/cement ratio.Basalt type coarse aggre-gate was used in all concretes to obtain better concrete strengths ͑Sengul et al.2002͒.The aggregate had a low porosity and high specific gravity.To obtain a better aggregate-cement paste inter-face,the aggregates were washed and used in saturated surface dry state.The aggregate grading,water-binder ratio,and the maximum particle size of aggregate were kept constant in all concretes.The grading curve of concrete aggregate was chosen between ISO A16-B16and closer to B16.Natural sand,crushed basalt sand,and crushed basalt No.I was used in the concretes.A superplasticizer was used in low water/binder concretes to main-tain approximately the same slump.The concrete mixtures were designated as follows:50S-60,50F-60,25FS-60,50S-38,50F-38,and 25FS-38.The first two digits show the partial replacement amount of cement by the fly ash or slag.The letters after the digits represent the binder type,where S shows the blast furnace slag and F indicates the fly ash.The last two digits indicate the water/binder ratio as %.For ex-ample 25FS-38represents the concrete with a water/binder ratio of 0.38and containing 25%fly ash+25%blast furnace slag.On the other hand,the mixtures 100PC-60and 100PC-38show port-land cement concretes with water/cement ratios of 0.60and 0.38,respectively.All mixtures were prepared in a laboratory mixer with vertical rotation axis by forced mixing.Details of the mixtures are shown in Table 5.All the specimens were demolded after 24h and stored in a water tank saturated with lime at 20°C until the testing day.Test ProcedureThree 150mm cubes were used for the standard compressive strengths of concretes.The rapid chloride ion permeability of the concretes was obtained according to ASTM C 1202–05͑ASTM 2005͒;three concrete disc specimens of 100mm in diameter and 50-mm thick were used for the test.The compressive strength and the rapid chloride permeability of concretes obtained at 28-and 90-day old specimens are given in Table 6.Results and DiscussionCompressive Strengths of ConcretesCompressive strengths of the concretes are illustrated in Figs.3and 4.As seen in Fig.3,for the water/binder ratio of 0.60,the compressive strength of the concrete with 50%slag replacement is slightly lower than the portland cement concrete both for 28and 90days.The compressive strength of the concrete with 50%fly ash replacement,however,is significantly low.For the 0.60water/binder ratio,at 28days the strength of the fly ash concrete is 59%of the portland cement concrete.At 90days,however,this ratio is 75%,which shows the significant strength development rate of the fly ash concrete between 28and 90days.Despite this substantial strength reduction compared to portland cement con-crete,at 0.60water/binder ratio and 28-day age,the compressive strength of the concrete with 50%fly ash is still over 34MPa and this concrete can be classified as a structural concrete.The pozzolanic reaction of fly ash in concrete depends on the break-down and dissolution of the glass phase which occurs when the pH of pore solution is higher than 13͑Fraay et al.1989͒.The pozzolanic reaction takes place between the fly ash and the CHParticle Diameter,µmC u m u l a t i v e p e r c e n t a g e501002575Fig.2.Particle-size distributions of fly ashes before and after grind-ingTable 3.Results of Pozzolanic Activity Index Test on the Fly AshCompressive strength at 7days,MPaFly ashBefore grinding,BSA:222m 2/kgAfter grinding,BSA:604m 2/kgExperiment7.914.2Class F in ASTM C618-85,min5.55.5Table 4.Results of the Slag Activity Index Test Slag activity index ASTM C989-06,minBlast furnace slag used in the studyGrade 80Grade 100Grade 1207-day index —75959128-day index7595115114D o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .produced from the hydration of portland cement.This pozzolanic reaction is a slow process and is responsible for the low early strength of the high volume fly ash concrete.At the 0.60water/binder ratio,the compressive strength in-crease between 28and 90days is about 27%for the fly ash concrete,3%for the portland cement concrete,8%for the slag concrete,and 19%for the concrete with the ternary binder.This important strength increase of fly ash concrete indicates that the pozzolanic reaction of the fly ash continues at a higher rate for a longer period.The pozzolanic reaction of the blast furnace slag is more rapid when compared to that of the fly ash ͑Bijen 1996a ͒.For the dis-solution of the glass phase of blast furnace slag,pore water pH of about 12is enough and this alkalinity level occurs in a short period after mixing the slag-portland cement blend with water.This more rapid reaction is one of the factors causing a higher early strength of slag concretes.As shown in Fig.3,for the water/binder ratio of 0.60,the compressive strength of the concrete with ternary blend binder is between those of the slag concrete and fly ash concrete.The ter-nary binder containing 25%fly ash and 25%slag also has a significant strength increase between 28and 90days.The compressive strength of the concretes at 0.38water/binder ratios are shown in Fig.4.As seen in the figure,the strength of the slag concrete is higher than that of the portland cement con-crete at 28days and almost equal at 90days.The compressive strength of the concrete with 50%fly ash is 72.8MPa at 28days and 78.2MPa at 90days and this high volume fly ash concrete can be classified as a high strength concrete.For the water/binder ratio of 0.38concretes,the strength of the fly ash concrete is about 85%of the portland cement at both ages.For normal strength concretes,however,this strength ratio is 59%at 28days and 75%at 90days.When the results for the 0.38and 0.60water/binder ratios are compared,it can be concluded that the fly ash is much more effective at the low water/binder ratio for enhancing the strength of concrete.The better performance of fly ash at lower water/binder ratios was also reported in other studies ͑Demir et al.2002;Poon et al.2000;Lam et al.2000;McCarthy and Dhir 1999͒.Similar conclusions can also be drawn for the slag concrete and the concrete with the ternary binder.For the high water/binder ratio,the ratio of the compressive strength of slag concrete to that of portland cement is 92%at 28days and 96%at 90days,but this strength ratio increases to 105%at 28days and 99%at 90days for 0.38water/binder ratio.Mineral admixtures have two effects in concrete:pozzolanic effect and filler effect.A finer pore size distribution and less cap-illary pores can be obtained by using fine mineral admixtures in concrete.Fine pozzolanic materials also have an important effect on the aggregate-cement paste interface which is the weakest link in concrete and the thickness of this transition zone can be re-duced by using pozzolans ͑Bijen 1996b ͒.Better particle packing due to finer materials and the pozzolanic reaction may be the reasons for this enhancement.By the densification of the aggregate-cement paste transition zone,concrete becomes more homogeneous and higher strengths can be obtained.This im-provement may be more effective at lower water/binder ratios which can cause a better performance of the pozzolan.For the low water/binder ratio concretes,superplasticizers areTable 5.Mix Proportions and Some Properties of the Fresh Concretes Mix code100PC-6050S-6050F-6025FS-60100PC-3850S-3850F-3825FS-38Cement,kg /m 3348175176176450222221222Slag,kg /m 3017508802220111Fly ash,kg /m 3001768800221111Water,kg /m 3209210211211167168167168Water/binder0.600.600.600.600.380.380.380.38Superplasticizer,kg /m 30000 4.4 4.5 3.4 4.7Natural sand,kg /m 3503503497502500499487493Crushed basalt sand,kg /m 3380380375379377377368372Crushed basalt I,kg /m 3951952940951946945921933Slump ͑mm ͒9013014014080150110160Unit weight,kg /m 32,3892,3942,3752,3962,4362,4382,3892,415Air ͑%͒2.21.61.10.93.32.73.12.8Table 6.Mechanical Properties,Chloride Permeability,and Relative Cost of ConcretesWater/binder Mixture code Cube compressive strength of concrete͑MPa ͒ASTM C1202chloride ion penetration test͑Coulomb ͒Relative costs of concretes28days 90days 28days 90days 0.60100PC-6055.757.56,8135,500348.050S-6051.355.3703372288.850F-6034.243.3926161264.025FS-6042.951.2660376277.20.38100PC-3886.192.21,8771,780450.050S-3889.991.5395206366.350F-3872.878.2531144331.525FS-3883.186.6387217349.7D o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .used to obtain enough workability.These chemical admixtures causes better dispersion of cement particles and higher early com-pressive strengths can be achieved due to the greater hydration rate in a well dispersed system ͑Mehta and Monterio 1993͒.The superplasticizer used in the 0.38water/binder ratio concretes may have helped for a better dispersion of the pozzolans which may have caused a less strength decrease when compared to the 0.60water/binder ratio concretes.The enhanced hydration in a well dispersed binder system also depends on the size of the mineral admixture.The particle sizes of the fly ash and slag used in this study are relatively fine and have Blaine finenesses of 600m 2/kg.The fine particle size of the pozzolans may have contributed to the better performance of concretes at the low water/binder ratio.Resistance to Chloride Ion PenetrationThe ASTM C 1202-05͑ASTM 2005͒rapid chloride ion penetra-tion test ͑RCPT ͒results of the concretes are given in Figs.5and 6.This test is based on the electrical conductivity of concrete.The concrete sample is subjected to a potential difference of 60V and the total charge passing through sample at the end of 6h is mea-sured and expressed in terms of Coulombs.A reduction in this total charge value indicates the better resistance to chloride ion penetration and lower permeability.As seen in the figures,for both water/binder ratios,pozzolan replacements caused great re-ductions in the rapid chloride permeability of the concretes.As shown in Fig.5,for the 0.60water/binder ratio and age of 28days,replacing 50%of portland cement by the fine slag caused a decrease of about 90%in the rapid chloride permeability of the concrete.Similarly,the reductions for the fly ash concrete and the concrete with the ternary binder are more than 86and 90%,re-spectively.For this water/binder ratio and 28-day age,the con-crete with the ternary binder has the lowest RCPT value.As seen in the figures,the rapid chloride ion permeability de-creases with age.For the water/binder ratio of 0.60,the total charge passing through the portland cement concrete decreases about 20%between 28and 90days.This decrease,however,is more substantial for the concretes containing high volume of poz-zolans.For the 0.60water/binder ratio,the reduction of the chlo-ride permeability between 28and 90days is about 47%for the slag concrete,83%for the fly ash concrete,and 43%for the concrete with the ternary binder.At 90-day age and 0.60water/binder ratio,the concrete with slag and with the ternary blend have RCPT values of about 7%of the portland cement concrete and with a value of 161Coulombs the fly ash concrete has the lowest value which is less than 3%of the normal concrete.If Figs.5and 6are compared,the effect of water/binder ratio on the rapid chloride permeability can be seen.For both 28and 90days,decreasing water/binder ratio from 0.60to 0.38caused a reduction of the RCPT value of about 70%for the portland ce-ment,44%for the slag concrete,and 42%for the concrete with the ternary binder.As a result of decreasing water/binder ratio,the total charge passing through the fly ash concrete reduced about 43%at 28days,but only about 10%at 90days.From these results,it can be concluded that the decrease in the water/binder10203040506070100PC-6050S-6050F-6025FS-60MixtureC u b e c o m p r e s s i v e s t r e n g t h (M P a )pressive strengths of concretes with water/binder ratio of 0.6020406080100100PC-3850S-3850F-3825FS-38MixtureC u b e c o m p r e s s i v e s t r e n g t h (M P a )pressive strengths of concretes with water/binder ratio of 0.3855003721613762000400060008000100PC-6050S-6050F-6025FS-60MixtureR a p i d c h l o r i d e p e r m e a b i l i t y (C o u l o m b )2890Fig.5.Rapid chloride permeability test results of concretes with water/binder ratio of 0.60206144217500100015002000100PC-3850S-3850F-3825FS-38MixtureR a p i d c h l o r i d e p e r m e a b i l i t y (C o u l o m b )90Fig.6.Rapid chloride permeability test results of concretes with water/binder ratio of 0.38D o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .ratio affects the RCPT value of the portland cement concrete more than those of the concretes with high amount of pozzolans.For the water/binder ratio of 0.38;at 28days,the concrete with the ternary binder and the slag concrete have the lowest RCPT values,which are about 20%of the portland cement con-crete.At 90days,however,the fly ash concrete has the lowest RCPT value which is about 8%of the portland cement concrete value.At the low water/binder ratio,the chloride permeability of pozzolanic concretes also decreased substantially between 28and 90days.For the 0.38water/binder ratio,between 28and 90days the RCPT value of portland cement concrete decreased only about 6%,however,decreases of 48,73,and 44%were obtained for the slag concrete,fly ash concrete,and the ternary binder concrete,respectively.In this study,the total replacement ratio of portland cement by the pozzolanic materials was 50%for all the mixtures.In the binary blended mixtures,concretes contain 50%slag or fly ash,and the ternary blended mixtures contain 25%slag and 25%fly ash which also correspond to 50%replacement.As seen in Figs.5and 6,for both water/binder ratios,the RCPT results of the ter-nary blended mixtures at 28days are slightly lower than those of the slag or fly ash concretes.At the age of 90days,however,the RCPT results of the ternary blended concretes are almost the same as the slag concretes and higher than those of the fly ash concretes.For the ternary blended mixtures,the reduction of the RCPT results between 28and 90days were also not lower com-pared to those of the binary blended concretes.In theory,for the ternary blended mixtures with equal percentage of fly ash and slag replacement,greater reduction in chloride permeability may be expected compared to those of the binary blended mixtures.However,based on the test results,it seems that such an improve-ment was not obtained by the ternary blended mixtures prepared.The fly ash and slag used have almost the same Blaine finenesses which indicate that they have similar particle sizes.Due to this similar particle sizes,the particle packing in the ternary blended mixtures may not be substantially different compared to those of the binary blended concretes and as a result the RCPT of the ternary blended concretes were not substantially lower than those of the binary blended concretes.In this study,all the specimens were cured in water until the testing day and for both water/binder ratios,the substantial reduc-tion of the chloride ion permeability of pozzolanic concretes be-tween 28and 90days indicates the high pozzolanic activity of the pozzolans taking places during this period.The ASTM C 1202-05͑ASTM 2005͒classifies concretes in terms of chloride ion pen-etrability and based on this classification,the concretes containing the ground fly ash and slag can be considered as concretes of very low permeability.The lower chloride permeability of the concretes with high volume pozzolans is a result of a denser microstructure.The poz-zolanic reaction may cause lower amount of capillary pores and clogging of the pores,which reduces chloride ion transport in concrete ͑Li and Roy 1986͒.Improvement of the aggregate-cement paste interface by the pozzolanic reaction may also play a role in decreasing the chloride ion permeability.Better chloride ion resistance of high volume fly ash concretes was also shown in other studies ͑Sengul et al.2005;Zhang et al.1999͒.The ground fly ash and slag used in this study has a high fineness which may have contributed to obtaining lower chloride ion permeability ͑Dhir and Jones 1999͒.Decreasing the water/cement ratio of a concrete reduces the amount of capillary pores which are mainly responsible for thepermeability of the concrete.Even though the RCPT value of the portland cement concrete is reduced about 70%by lowering the water/cement ratio,the values for the portland cement concrete at 0.38water/cement ratio are still 2times or even more higher than those of the concretes with pozzolans at 0.60water/binder ratio.This result indicates that to reduce the chloride permeability of portland cement concrete,inclusion of pozzolans are more effec-tive than reducing the water/cement ratio.Reduced capillary pores and reduction in their connectivity due to the pozzolanic reaction and better particle packing may be the reasons behind the better performance of the concretes with high amount of poz-zolans.Also,as indicated above,between the ages of 28and 90days,the chloride permeability of the concretes with pozzolans decreased substantially compared to those of the portland cement concretes.Pozzolanic reaction is relatively slow compared to the hydration of portland cement,which is the main reason of the low early age strength or high early age permeability of the concretes containing high volumes of pozzolanic materials.At later ages,however,the pozzolanic materials can be more effective in im-proving concrete properties due the pozzolanic reaction continu-ing at a higher rate for a longer period.It should also be noted that curing conditions is more important for such concretes.As seen in Table 5,the decrease in the water/binder ratio was obtained by both reducing the water amount and increasing the binder content which may have also contributed to the better per-formance of the low water/binder ratio concretes.Studies show that,for a same water/binder ratio,increasing the binder content can also help to reduce the permeability of the concrete ͑Buenfeld and Okundi 1998;Dhir et al.1996͒.OptimizationOptimization is a procedure for obtaining the best possible option and it is an important tool for decision making process.This procedure is based on defining performance criteria ͑objective functions ͒,independent and dependent variables,and formulation of the parameters based on constraints ͑Brandt and Marks 1993͒.For the optimization of concrete mixtures;the performance crite-ria may be the strength,permeability properties,fracture proper-ties,durability characteristics,cost,or other concrete properties.The independent variables,for example,may be the amounts of constituent materials.The responses ͑dependent variables ͒,which are based on the independent variables,are compared to the per-formance criteria.In the optimization of concrete mixtures,con-crete properties such as the compressive strength obtained for a given mixture design may be one of the responses.Optimization usually involves considering several responses simultaneously,such as high strength and low cost.To optimize several responses,multicriteria optimization techniques were used in this study.A useful approach for the optimization of multiple responses simultaneously is to use desirability functions which reflect the levels of each response in terms of minimum and maxi-mum desirability ͑Sengul et al.2005͒.A desirability function ͑d j ͒varies over the range of 0Յd j Յ1.In case of maximizing and minimizing the individual responses,d i is defined by Eq.͑1͒and ͑2͒,respectively ͑Myers and Montgomery 2002͒d j =ͫY j −min f jmax f j −min f jͬt͑1͒D o w n l o a d e d f r o m a s c e l i b r a r y .o r g b y S o u t h e a s t U n i v e r s i t y o n 12/12/13. C o p y r i g h t A S CE .F o r p e r s o n a l u s e o n l y ; a l l r i g h t s r e s e r v e d .。
TUTORIAL 6Co-simulation of Power Systems and ICT:fundamentals and applicationsBackgroundIn Smart Grids, Information and Communication Technologies (ICT) are no-longer add-ons of the power system but they are an enabling technology. Co-simulation refers to the simultaneous simulation of power delivery and communications networks. At the time of this writing, very often each function is simulated separately with each study discipline assuming the other works perfectly. Obviously, this cannot always be the case. For example, a storm that disables part of the power grid may likewise destroy part of the communications system. Messages intended for devices that could restore all or part of the power system, and thus improve the reliability, may never arrive. Another example can be referred to the latency in the control sampling and communications that can adversely impact the expected behaviour of the power system, if the control and communications scheme is not correctly planned. Simulations capturing the operation and interactions of both systems will likely be needed to fully assess the potential reliability benefits and impacts. Interactive simulation utilizing existing distribution and cyber simulation platforms, or co-simulation, is a potential avenue for performing proper distribution studies. High-level technical and economic functions which are desirable in co-simulation tools should provide to simulate the operation of the power system, communications infrastructure and information technology control systems are provide in the following sections.Aim of the tutorialCo-Simulation based approaches should be utilized to develop, test and verify paradigms for next generation monitoring, control and operation of energy systems. The co- simulation approach usually involves the integration of two or more simulators to capture the cyber physical dependency of a process. The aim of the tutorial is offer attendees the basic of co-simulation with examples of applications in distribution systemsContent1.Introduction to co-simulation and applications for the simulation of distribution system(Fabrizio Pilo)2.Modeling of complex cyber-physical systems: concepts and methods (Peter Palensky)3.Scenario Design of Smart Grid Co-Simulations (Sebastian Lehnhoff)4.ICT and Power System Co-simulation for the analysis of networked control strategies indistribution systems (Alberto Borghetti)5.Applications of Cyber-physical simulation to active distribution networks (Emilio Ghiani) Expected benefitsParticipants will gain an improved understanding of the latest co-simulation methods and techniques as well as how they are being applied in various research fields in Energy systems. Emphasis will be given on the correct choice of models and time granularity for distribution planning and operation studies.Who should attendExperienced power engineers can improve background on ICT in Power Systems by embracing the most innovative techniques for the simulation of modern distribution systems. Young engineers can complete their fresh education on power and distribution engineering with topics that are not normally covered by standard curricula. Finally, the tutorial is also suited to PhD students that are working in the field of smart grids.Support materialA copy of all the presentation material used in the tutorial will be supplied to delegates.About the presenter(s)Alberto BORGHETTIAlberto Borghetti was born in Cesena, Italy, in 1967. He graduated (with honors) inelectrical engineering from the University of Bologna, Italy, in 1992. Since then he hasbeen working with the power system group of the same University, where he wasappointed Researcher in 1994 and Associate Professor in 2004. His research andteaching activities are in the areas of power system analysis, with particular reference tovoltage collapse, power system restoration after black-out, electromagnetic transients,optimal generation scheduling and distribution system operation. He is a Fellow of the Institute of Electrical and Electronics Engineers (class 2015) for contributions to modeling of power distribution systems under transient conditions. He serves as an Editor of IEEE Trans. on Smart Grid and is on the editorial board of Electric Power System Research.Emilio GhianiEmilio Ghiani received is Ph.D in Electrical Engineering and Computer Science in 2005 fromUniversity of Cagliari, where currently is an Assistant Professor of Power System at theDepartment of Electrical and Electronic Engineering (DIEE).His research focuses mainly on the development of methodologies and tools for decisionmaking process in planning and operation of power distribution networks with largepenetration of distributed energy sources.His research interests include co-simulation of power and communication system related to Smartgrid operation (e.g., automatic control of voltage and frequency, demand response and management of storage devices).He is author of more than 50 papers published on international journals or presented in various national and international conferences. He is IEEE and AEIT member.Sebastian LEHNHOFFSebastian Lehnhoff is a Professor for Energy Information Systems at the University of Array Oldenburg. He received his doctorate at the TU Dortmund University in 2009. Prof.Lehnhoff is a member of the executive board of the Energy R&D division at the OFFISInstitute for Information Technology. He is speaker of the special interest group …EnergyInformation Systems“ within the German Informatics Society (GI), assoc. editor of the IEEEComputer Society’s Computing and Smart Grid Special Technical Community as well asan active member of numerous committees and working groups focusing on ICT in future Smart Grids. His research interests are self-organizing energy systems, distribution grid automation as well as methods for in Co-Simulation and experimental design in energy system engineering. Prof. Lehnhoff is author of more than 100 papers, published in international journals or presented in national and international conferences.Fabrizio PILOFabrizio Pilo is Full Professor of Power Systems at the Department of Electrical and Array Electronic Engineering (DIEE) of the University of Cagliari from October 2014.He graduated in Electrical Engineering at the University of Cagliari in 1992 (magna cumlaude); in 1998 he earned the Ph.D. from the University of Pisa. In 1996 he becameAssistant Professor and in 2001 Associate Professor at DIEE. Fabrizio Pilo has 20 yearsexperience in the field of power distribution planning and development. He was one of theadvisors of the Italian Regulatory Agency with reference to the implementation of Smart Grid in the Italian power system. He is the Chairman of the CIRED Session 5, Distribution SystemDevelopment and Convener of the CIGRE WG C6.19 – Planning for Active Distribution Systems. He is IEEESenior Member and AEIT member. Prof. Pilo is author of more than 150 papers, published in international journals or presented in national and international conferences. He is registered professional engineer and consultant.Peter PALENSKYPeter Palensky is Professor for intelligent electric power grids at TU Delft, Netherlands, andPrincipal Scientist for Complex Energy Systems at the Austrian Institute of Technology (AIT)/ Energy Department, Austria. Before that he was Head of Business Unit ”SustainableBuilding Technologies” at the AIT, CTO of Envidatec Corp., Hamburg, Germany, associateProfessor at the University of Pretoria, South Africa, Department of Electrical, Electronic andComputer Engineering, University Assistant at the Vienna University of Technology, Austria,and researcher at the Lawrence Berkeley National Laboratory, California. He is active ininternational committees like ISO, IEEE and CEN, and is associate editor for the IEEE Transactions on Industrial Informatics. His main research field is complex energy systems.___________________________。
Metabolic pathway analysis web service(Pathway Hunter Tool at CUBIC )S.A. Rahman*, P. Advani, R. Schunk, R. Schrader, Dietmar Schomburg*Cologne University BioInformatics Center (CUBIC ) & Institute of BiochemistryZülpicher Strasse 47, 50674 Köln, GermanyBioinfor m atics © Oxford University Press 2004; all rights reserved.Bioinformatics Advance Access published November 30, 2004ABSTRACTMotivation: Pathway Hunter Tool (PHT)(Syed Asad Rahman et al., 2004) is a fast, robust, and user friendly tool to analyse the shortest paths in metabolic pathways. The user can perform shortest path analysis for one or more organisms or can build virtual organisms (networks) using enzymes. Using PHT, the user can also calculate the average shortest path(Jungnickel, 2002), average alternate path and the top 10 hubs in the metabolic network. The comparative study of metabolic connectivity and the cross talk between metabolic pathways between various sequenced genomes is possible.Results: A new algorithm for finding the biochemically valid connectivity between metabolites in a metabolic network was developed and implemented. A predefined manual assignment of side metabolites (like ATP, ADP, Water, CO2 etc) and main metabolites is not necessary as the new concept uses chemical structure information (global and local similarity) between metabolites for identification of the shortest path.Availability:Pathway Hunter Tool (PHT) is accessible at http://www.pht.uni-koeln.de .Contact: asad.rahman@uni-koeln.de, D.Schomburg@uni-koeln.deKeywords:Pathway Hunter Tool, PHT, Shortest Path, Metabolic Pathways, Metabolic Networks, Tools, Pathway Database.INTRODUCTIONWith the advent of the "omics" era more and more system-based approaches to biological functions are being developed. Metabolome analysis and metabolomics are gaining higher attention and help to understand the complexity of the underlying cellular networks in organisms. The completion of a large number of genomes has made the comparative study of genomes possible at different levels. One way to gain a better understanding of the sequenced genomes can be achieved by analysis of the underlying metabolic network and its topology in different genomes. Several databases provide information about metabolic pathways.We have used KEGG (Kanehisa et al., 2004) as the basic database for our analysis apart from BRENDA (Schomburg et al., 2004) and PROSITE(Hulo et al., 2004). A global view of the connectivity in metabolic pathway, the contribution and usage of certain metabolite in these pathways is highly instructive. Shortest path analysis(Arita, 2004) is one of the best-defined methods to analyse a graph (Metabolic Pathways) at different levels in terms of local and global connectivity. With Pathway Hunter Tool (PHT) it is also possible to calculate statistical information(Barabasi and Oltvai, 2004) from the topology arising from the interacting molecules in order to capture the nature of connectivity.METHODWhereas a number of long-established methods exist for the analysis of shortest paths in graphs the situation in metabolic networks is a little more complicated. In the example of reactions given in figure 1 a shortest path algorithm for metabolic pathways is required to follow the path of the thick lines with the result that there exists a path between phosphate and ATP via glucose-6-phosphate (thick line) but that there is no way to produce fructose from phosphate to fructose (thin line). In the third reaction of the scheme the algorithm has to distinguish which direction to go, depending on the starting point being either glucose or phosphate.Therefore it is important to connect two metabolites in a reaction with respect to their structural similarity. We have used the fingerprint algorithm from the Chemistry Development Kit (CDK)(Steinbeck et al., 2003) to convert the 2-dimensional chemical structure information to a 1-dimesional binary stream as a fingerprint for faster similarity search (Whittle et al., 2003). Using the fingerprints, the similarity between two molecules was calculated using a normalized scoring function obtainedby combination of the atomic mass value of the metabolites and the Tanimoto algorithm (Xue et al., 2003). This allowed to avoid the false connectivity in the metabolic pathway and made the path search algorithm more robust.In order to calculate the shortest path between two metabolites, the depth first search (DFS) algorithm(Jungnickel, 2002) is used in PHT. Higher-Order Horn Logic (HOHL)(Nadathur and Miller, 1990) has been used to satisfy the constraints. Our new algorithm automatically discriminates between side metabolites (like ATP, ADP, Water, CO2 etc) and main metabolites while finding the shortest path without the need to predefine those. Predefined exclusion of small metabolites in the metabolic pathway may lead to broken links in the network or longer connectivity. This means that at each reaction step the algorithm should be able to decide, which metabolite to choose for further connectivity in the pathway and which to skip.ALGORITHMIn this section the new algorithm used in Pathway Hunter Tool (PHT) to find the shortest path in the biochemical network is described.1. Definition of the metabolite mapping scoring functionLet A be an educt and B a product metabolite and a, b the number of bits (calculated by the fingerprint algorithm from the Chemistry Development Kit (CDK)(Steinbeck et al., 2003)) “on” on A or B metabolites, respectively, c = the number of bits “on” in both A & B, d = number of bits “off” in both A & B, then we can define the equation in form of set theory (Jech and Jech, 1997).a = |A |,b = |B |,c = |A B |,d = n - | A U B |and a + b - c = | A U B |(Note: ‘| B |’ denotes cardinality of the set)where n = total number of attributes of an object (e.g, bits in a fingerprint)Once we are able to formulate the chemical structure(Whittle et al., 2003) in terms of set theory the next step was the development of a scoring scheme for the similarity between two metabolites. We have used the Tanimoto Coefficient(Willet et al., 1998)for this purpose, i.e. the structural similarity between two metabolites A and B can be defined as•Tanimoto Coefficient S A,B = | A B| / | A U B|The percentage Atomic Mass Contribution (PAMC) for two competing educt (A) and product (B) can be defined as hundred times the sum of mass for both the metabolites (A & B) divided by the total mass of the metabolites in that reaction.•Atomic Mass Contribution PAMC A,B = 100 * (M A + M B) / M RThe mapping scoring function is then defined as the product of similarity score and atomic mass contribution in each reaction between every two competing educt (A) and product (B)metabolites.Final score for top competing metabolites can be defined asScore A,B = PAMC A,B * S A,BWhere0 <= S A,B <= 1and0 <= PAMC A,B <= 1002. Local mapping metabolites in reactionsThe derived scoring function was used to find a suitable mapping between substrate molecules and product molecules. We use a slightly modified form of game theory (/) in order to map the substrate to the product metabolite. The method consists of construction of a matrix of substrates as rows and products as columns with the score defined above as matrix elements. The score between any substrate or product whose extension is smaller than three bonds is set to zero. A substrate is mapped to a product when either the score dominates all other scores in the present row or column respectively. By this procedure we keep track of the maximum structural similarity between two interacting metabolites. Fig 2 illustrates the outcome our mapping procedure when applied to a reaction.3. Shortest path between two metabolitesFor the calculation of the shortest paths the two biochemical criteria “local” and “global” structural similarity are used, where “local similarity” is defined as thesimilarity between two intermediate molecules and “global similarity”is defined as the amount of conserved structure found between the source metabolite and the destination metabolites after a series of reaction steps (Fig. 3).The only potential draw back of this method is given by the fact that not all metabolites in the metabolite databases have structures (e.g. macromolecules like proteins or nucleic acids, or generic molecules like “an alcohol”). In these cases the user may miss some connectivity due to lack of structural information. In order to cross check this result it is possible to switch off the “Atom Mapper” (Local similarity) and “Atom Tracer” (Global Similarity) options thereby performing the search on the ligand-number-based mapping obtained from the KEGG reaction database. On the other hand the power and biochemical relevance of having local similarity and global similarity is very high. In future we plan to provide non-standard structural information for these metabolites in order to allow the inclusion of such reactions.Complexity of the algorithmThe shortest path between source and destination metabolite is the minimum number of reaction steps between them(fig. 4). We consider the metabolic pathway in our system as a directed graph with all edges (reactions) sharing the same cost (here 1). Hence this does not lead us to NP-complete problem as one can calculate the k-shortest path between two metabolites using the BFS (Breadth First Search) algorithm. Higher-Order Horn Logic (HOHL)(Nadathur and Miller, 1990) has been used to satisfy the constraints (similarity) with the BFS algorithm in order to calculate k-shortest paths between two metabolites (source and destination). This means that the runtime of the tool depends on the metabolites and reactions present in an organism. We are able to generate all possible k-shortest paths between two metabolites under given criteria of global and local similarity.Program optionsPresently Pathway Hunter Tool (PHT) has four options.1.Find k-shortest path to convert one metabolite into another in a given network(organism-specific or general metabolic network).2.Find k-shortest paths from a substrate metabolite to all feasible metabolites ina given network (organism-specific or general).3.Find k-shortest path to a product metabolite from all feasible substratemetabolites in a given network (organism-specific or general).4.Statistical analysis of the metabolic pathways like average path length,diameter of the network, average node connectivity, loose ends in the network, hubs in a given network (organism-specific or general).User defined constraintsThere are sets of user-defined constraints, which can be used for an in-depth network analysis without affecting the biochemical/biological relevance.•While traversing through the metabolic pathway it is possible to set the similarity measure score (Atom Mapper) between interacting molecules and to define the amount of structure change with respect to his reference molecule at each reaction step (Atom Tracer).•By setting the Minimum path length and Maximum path length the path between two metabolites in the network can be altered. For example, if the minimum path length is set to six, then the algorithm will drop paths below it and report the next possible shortest path above or equal to six, which is the shortest possible path under the given constraint.•It is possible to choose via Metabolite, not via Metabolites and not via Enzymes options for use of a particular set of pathways.•Under Build Virtual Organism it is possible to add own set of enzymes and perform further analysis. This is very useful for identification of the missing links in the network.RESULTSWe performed a shortest path analysis (fig. 4) in Escherichia coli K-12 between beta-D-Glucose and Pyruvate, which turned out to be nine steps long. We considered global similarity and local similarity while traversing the path. The algorithm automatically identifies the correct connectivity between the metabolites at each reaction step.We also performed a comparative study between the KEGG reaction reference map, Corynebacterium glutamicum, Escherichia coli K-12 and Mycobacterium tuberculosis (fig. 5). We were interested in finding the shortest path between “D-Erythrose 4-phosphate” and“Chorismate”, which turned out to be in 7 reaction steps in all these cases. Looking closely into fig. 5 it is clear that different pathways are possible to convert “D-Erythrose 4-phosphate” to “Chorismate” in the reference map, or in Corynebacterium glutamicum, Escherichia coli K-12 and Mycobacterium tuberculosis(score 4 on the edge).Some organisms may use enzyme “1.1.99.25” (blue colour) to perform the same conversion (score 1 on the edge).OUTPUT FORMATPathway Hunter Tool (PHT) generates three kinds of output:• A Text based output can be viewed immediately in the browsers and is supplied with hyperlinks to other database like BRENDA, KEGG and PROSITE.•A Graphical view of the output is generated for “Metabolic Pathways” and “Enzyme” connectivity as Graph Modeling Language (GML) (http://infosun.fmi.uni-passau.de/Graphlet/GML/) files. These portable files can be saved on the clients system and can be viewed later in any dynamiclayout software that read the GML format (e.g. the yEd (/products/yed/ graphical editor).•Pathway Hunter Tool (PHT) also generates “Enzyme-Enzyme” connectivity matrix, which can be used for pathway alignment and other studies. The “Reaction-Organism Matrix” highlights the presence of reaction in organisms by binary 1 and 0 for absence.ACKNOWLEDGEMENTSThe authors are grateful for financial support by the German Federal Ministry for Education and Research(BMBF).REFERENCESArita, M. (2004) The metabolic world of Escherichia coli is not small. Proc Natl Acad Sci U S A, 101, 1543-1547.Barabasi, A.L. and Oltvai, Z.N. (2004) Network biology: understanding the cell's functional organization. Nat Rev Genet, 5, 101-113.Hulo, N., Sigrist, C.J., Le Saux, V., Langendijk-Genevaux, P.S., Bordoli, L., Gattiker,A., De Castro, E., Bucher, P. and Bairoch, A. (2004) Recent improvements tothe PROSITE database. Nucleic Acids Res, 32 Database issue, D134-137. Jech, T.J. and Jech, T. (1997) Set Theory. Springer-Verlag.Jungnickel, D. (2002) Graphs, Network and Algorithm. Springer Verlag, Berlin. Kanehisa, M., Goto, S., Kawashima, S., Okuno, Y. and Hattori, M. (2004) The KEGG resource for deciphering the genome. Nucleic Acids Res, 32 Database issue, D277-280.Nadathur, G. and Miller, D. (1990) Higher-order Horn clauses. Journal of the ACM (JACM), 37, 777-814.Schomburg, I., Chang, A., Ebeling, C., Gremse, M., Heldt, C., Huhn, G. and Schomburg, D. (2004) BRENDA, the enzyme database: updates and major new developments. Nucleic Acids Res, 32 Database issue, D431-433. Steinbeck, C., Han, Y., Kuhn, S., Horlacher, O., Luttmann, E. and Willighagen, E.(2003) The Chemistry Development Kit (CDK): an open-source Java library for Chemo- and Bioinformatics. J Chem Inf Comput Sci, 43, 493-500.Syed Asad Rahman, Dietmar Schomburg and Schrader, R. (2004) CUBIC Metabolic Pathway Hunter Tool (CMPHT). ISMB/ECCB, Glasgow, Scotland, Vol.Poster.Whittle, M., Willett, P., Klaffke, W. and van Noort, P. (2003) Evaluation of similarity measures for searching the dictionary of natural products database. J Chem Inf Comput Sci, 43, 449-457.Willet, P., Barnard, J.M. and Downs, G.M. (1998) Chemical Similarity Searching. J Chem Inf Comput Sci, 38, 938-996.Xue, L., Godden, J.W., Stahura, F.L. and Bajorath, J. (2003) Design and evaluation ofa molecular fingerprint involving the transformation of property descriptorvalues into a binary classification scheme. J Chem Inf Comput Sci, 43, 1151-1157.FIGURES:maps to ADP (green line) and D-Glucose maps to D-Glucose-6phosphate (red line).Step1: beta-D-Glucose <=> beta-D-Glucose 6-phosphateLocal Similarity 100 %, Global Similarity 100 %Step2:ß-D-Glucose 6-phosphate <=> ß-D-Fructose 6-phosphateLocal Similarity 94%, Global Similarity 93 %Step3: ß-D-Fructose 6-phosphate <=> D-Xylulose 5-phosphate,Local Similarity 62 %, Global Similarity 45 %Figure 3: Shortest path between metabolites ß-D-Glucose to D-Xylulose 5-phosphate is in 3 steps and only 45% of the structural is common between them globally.Escherichia coli K-12is 9 reaction steps long.Figure 5: Enzyme-Enzyme connectivity map highlights the shortest path (7 reaction steps) between“D-Erythrose 4-phosphate” and “Chorismate” in the KEGG reference map and Corynebacterium glutamicum, Escherichia coli K-12 and Mycobacterium tuberculosis. The weights given at the connections reflect the number of occurrences of this step in the queried pathways. 1.1.99.25 is found only in the reference map (originating from Acinetobacter calcoaceticus).。
A study on the cooling effects of greening in a high-density city:An experience from Hong KongEdward Ng *,Liang Chen,Yingna Wang,Chao YuanSchool of Architecture,The Chinese University of Hong Kong,Hong Konga r t i c l e i n f oArticle history:Received 9April 2011Received in revised form 27June 2011Accepted 12July 2011Keywords:Environmental planning Urban planning Urban green space Parametric study Microclimatea b s t r a c tGreening is a useful mitigation strategy for planners mainly from a visual perspective.For high-density urban living environment such as Hong Kong,urban greening helps cooling the air and providing shade;it also helps lowering building energy consumption by providing a better outdoor boundary condition.Many researchers have also suggested that greening may be employed as a strategy for combating the ill effects of urban Heat Island (UHI).Working towards a set of better greening guidelines for urban planners,the current paper first provides a comprehensive review of planning with urban greening.It then describes parametric studies that have been conducted to investigate the preferred location,amount,and types of vegetation for urban planning.The parametric studies employed the numerical model ENVI-met,veri fied using field measurements,to simulate 33cases with different combinations of factors.For bene fiting urban activities,ambient air temperatures at the pedestrian level are compared among different greening strategies and building heights.For a city such as Hong Kong,which has a high building-height-to-street-width (H /W )ratio,the present study reveals that roof greening is ineffective for human thermal comfort near the ground.Trees are also suggested to be more effective than grass surfaces in cooling pedestrian areas.The amount of tree planting needed to lower pedestrians level air temperature by around 1 C is approximately 33%of the urban area.The present study allows urban planners to identify more precisely the greening principles,amount and policies necessary for better urban living environment in high-density cities.Ó2011Elsevier Ltd.All rights reserved.1.Introduction1.1.Urban morphology and urban planning in Hong KongHong Kong has a population of seven million and an area of 1104km 2.Located just south of the Tropic of Cancer with a latitude of 22 150N and a longitude of 114 100E,Hong Kong endures a humid sub-tropical climate in fluenced by monsoons due to its proximity to the sea.As a metropolis in Asia,the city is especially characterized by a hot and humid summer.June e September are the hottest months of the year,with daily average temperatures ranging from 27.6 C (September)to 28.7 C (July),daily maximum temperatures ranging from 30.2 C (September)to 31.3 C (July),and a relative humidity of around 80%[1].High temperatures of over 30 C and high humidity result in an extremely high heat index.Moreover,Hong Kong has a high-rise high-density morphology with tall buildings (Fig.1).On the one hand,thiscompact urban form helps minimize transportation costs and thus conserve energy use.On the other hand,however,its urban ventilation potential is reduced and open green spaces are limited.1.2.Urban planning and greening issuesHong Kong ’s urbanization in the last century has undergone several population booms,especially after the World War II.The process exerted a large amount of stress on urban development due to insuf ficient buildable land resources.Although land reclamation had been continuously conducted in the past,population growth in such limited urban areas inevitably led to compact city morphology,a unique feature in many Asian cities.This compact urban morphology can cause thermal heat stress,especially during the hot and humid summer months.On the whole,only less than 25%of Hong Kong ’s landmass is developed,and about 40%of the remaining area is reserved for country parks and nature reserves [2].Hong Kong is therefore unique in that it has maintained a large green area of its territory that buffers the high-density urban areas and provides a glimpse of the natural environment to its inhabitants.However,the average*Corresponding author.Tel.:þ852********;fax:þ852********.E-mail addresses:edwardng@.hk ,akienyy@ (E.Ng).Contents lists available at ScienceDirectBuilding and Environmentjournal homepage:w /locate/buildenv0360-1323/$e see front matter Ó2011Elsevier Ltd.All rights reserved.doi:10.1016/j.buildenv.2011.07.014Building and Environment 47(2012)256e 271per capita green space provision within an urban area of 2m 2that can be easily accessed [3]is low compared with other Asian cities such as Singapore (10m 2)[4],Tokyo (7m 2)[5],and Shanghai (12.5m 2)[6].The low average is partially due to the high pop-ulation density,and also due to the fact that greenery was not a key consideration when the high-density urban areas were planned and built.Following the 1999Policy Address,which stated that the government would strive to make Hong Kong a green model for Asia,the Hong Kong SAR Government embarked on a planting programme.Thus,a total of over 100million trees had been planted over the past 10years.Furthermore,according to the First Sustainable Development Strategy for Hong Kong paper published by the Hong Kong SAR Government in 2005,building heights,building design,and green spaces are regarded as important planning factors contributing to a sustainable urban environment [7].Based on the principle of sustainability promulgated by the Hong Kong SAR Government,in 2004,the Civil Engineering and Development Department (CEDD)developed and implemented a set of detailed Greening Master Plan (GMP)for urban areas [8].The GMP initiative de fines the overall greening framework for a speci fic urban area.This serves as a guide to all parties involved in the planning,design,and implementation of greening works.In view of the fact that most greenery is in the countryside,the GMP of an urban area is expected to improve urban greenery of built-up areas and seeks ways to bridge green linkages from thecountryside into the urban areas.However,greening within Hong Kong ’s urban areas has many limitations,such as the narrow footpaths and the high pedestrian flow on them,the need to cater for the sightlines of pedestrians and drivers,and the need for areas to be set aside for loading/unloading.They all limit potential areas for planting.Furthermore,large overhanging signboards and high-rise buildings block the sunlight necessary for the healthy growth of plants [9].Careful studies of the physical conditions and land use characteristics of the urban areas are needed,and this has not been an easy task.Since 2004,several GMPs for urban areas have been developed.Short-term greening works for several very-high-density districts have been implemented.For example,Fig.2shows the short-term,medium-term,and long-term GMPs for the district of Tsim Sha Tsui;and Figs.3and 4show photos of completed short-term greening works as recommended by the GMPs in two major urban areas [8].Further to the GMPs,the 2009consultancy study on Building Design that Supports Sustainable Urban Living Space in HK prescribes the guideline that 20e 30%of the building site areas should be provided with greenery [9].Another study carried out by Hong Kong ’s Architectural Services Department (2007)recommends that green roofs can only be effective for mitigating UHI if large areas are covered [10].Considering the aesthetic and recreational functions for urban inhabitants,greenery has been ranked as one of the top issues among inhabitants of Hong Kong.However,there are currently neither obligatory requirements nor effective incentives offeredbyFig.1.Typical Hong Kong urban morphology andbuildings.Fig.2.Short-term,medium-term,and long-term greening master plans for Tsim Sha Tsui [pictures courtesy of CEDD (Civil Engineering and Development Department),HKSAR Government].E.Ng et al./Building and Environment 47(2012)256e 271257the regulative sector to promote greenery at the site level for private developments.No quantitative prescription within the major planning guideline document,the Hong Kong Planning Standards and Guidelines (2010),has been released [3].No systematic research has been done on the environmental bene fits of introducing more greenery within urban areas,and no quanti-tative guidelines can be derived.Although greenery has been suggested by researchers for hot and humid climates [11],research that quanti fies the possible effects of different greenery schemes on the environment is lacking.Particularly for addressing some of the more important design parameters such as location (where?),types (what?),and amounts (how much?)of greenery to be used.This is unfortunate,as planning decisions on greening can directly affect the city ’s urban climate [12,13].All in all,although policy efforts exist and the desires of stakeholders lead towards greening,further research efforts are necessary.2.Urban vegetation and urban microclimate in tropical areas Urbanization has caused many problems for city inhabitants.One of the more prominent problems,UHI of the Urban Canopy Layer (UCL),can increase energy consumption,increase ambient air temperature,and reduce human thermal comfort.Oke [14]iden-ti fied two separate atmospheric layers.One is the UCL governed by the processes at the microscale.The climate here is dominated by the nature of its immediate surroundings,such as building orien-tation,albedo,emissivity,thermal properties,wetness,etc.The other layer is the urban boundary layer (UBL),where climate isaffected by the presence of an urban area at its lower boundary (Fig.5).Urban microclimate refers to the characteristics of climate in the UCL between the buildings ’rooftops and ground surfaces [15,16].Sources of urban heating in the UCL include:higher storage by urban structures compared with their counterpart in rural areas;and anthropogenic heat released by substantial urban activities [17].Especially in low,middle,and high latitude cities,urban air temperatures are generally higher than their corresponding rural values.This is commonly referred to as the UHI phenomenon,which could occur at a scale range of a single building surrounding to a large portion of a city.Generally,heat islands in Hong Kong are undesirable because they add to cooling loads,thermal discomfort,and air pollution.Urban greenery can bring bene ficial microclimatic effects,including air temperature reduction,which eases the UHI effect [18].The microclimatic bene ficial effect of trees is obtained through several physical processes:(1)Solar heat gains on windows,walls,roofs,and urban surfaces,including human bodies,are lowered through shading;(2)the buildings ’long-wave exchanges are reduced at lower surface temperatures through shading;(3)the dry-bulb temperatures are lowered through evapotranspiration processes;and (4)latent cooling is increased due to the addition of moisture to the air through evapotranspiration [18].Estimating the decrease in ambient air temperature below the urban canopy is useful for human thermal comfort,especially at the pedestrian level,with different planting schemes.Methods to study the microclimate within the urban setting include both numerical modeling and empirical analysis,suchaspleted short-term greening works recommended by Greening Master Plans in Tsim ShaTsui.pleted short-term greening works recommended by Greening Master Plans in Sheung Wan.E.Ng et al./Building and Environment 47(2012)256e 271258on-site measurement using mobile instruments,weather station data,and satellite data [19].These investigation methods have been employed to study urban vegetation and urban climate in other research [20].With empirical field data,investigations can be more speci fic but are limited in time and space.Thus,deriving a thorough understanding of the interaction between urban design parameters and urban climate for better planning and decision-making is dif ficult to achieve.Numerical modeling (mesoscale and micro-scale)together with veri fication using on-site observations may provide theoretical understanding.Normally,vegetation can lower both the air temperature and wind speed on the surrounding microclimate.This helps reduce the cooling load.However,this is also still a generalization.Detailed studies on the interaction of local climates and urban development are needed for each city.The city-climate-speci fic interactions between urban vegetation,urban structures,and urban climateshave been investigated in research on various climates:in Brazil [21,22],Mexico [23],Cairo [24],Israel [25e 27],Singapore [28e 30],Japan [31e 40],China [41e 43],Hong Kong [44,45],Sri Lanka [46],Botswana [47],USA [48],England [17],Germany [49],and so on.Research findings include the effects of a single park area to its neighborhood,and the average effects of distributed greenery areas within an urban setting.In general,researchers have agreed that greening is important for cities.2.1.Numerical modelingBoth mesoscale and microclimate numerical models have been developed to study the basic pattern of urban effects,including air temperature rise and humidity decrease [34,50].Among them,the mesoscale model of Colorado State University (CSU)Regional Atmospheric Modeling System (RAMS)has been employedtoFig.5.Schematic representation of the urban atmosphere illustrating a two-layer classi fication of thermal modi fication (Source:[14]).Fig.6.The map showing the locations of the two study areas:Tsuen Wan &Mong Kok.The black dots are observatory stations.The green color areas are landscaped areas.E.Ng et al./Building and Environment 47(2012)256e 271259simulate the potential impact of vegetation on the urban thermal environment during the mid summer day of a mid-latitude city [50].The simulated domain was 300km wide,had a 5km resolu-tion,and up to 10km height,with a first atmospheric level 2m above ground surface.Simulations were differentiated by the parameter of their percentage of vegetation coverage in the urban areas,speci fically 0,33%,67%,and 100%,which are common in reality.Simulation results of the study with hot and dry climate show that for no wind situation,up to 5K reduction in air temperature at 3pm can be observed for 33%vegetation and up to10K reduction for 67%vegetation.These results are also similar with mesoscale simulation studies by Taha [51].However,the mesoscale modeling approach,with its very large computation domain and grid sizes (more than 10m in the horizontal resolu-tion),overlooks the in fluence of vegetation to its immediate proximity and mixes it with the accumulation of thermally modi-fied air from upwind areas [18].Besides,within a compact urban context,large-scale urban forestation,although very effective in reducing air temperature,is itself not applicable.Aside from using mesoscale modeling,some researchers developed numerical and CFD models at larger scales,and deter-mined the local effects of the urban structure (including building and vegetation)on the urban micro environment [32,37,52,53].Some researchers compared two cases of “with ”and “without ”a certain area of greenery,which is usually a big park,to investigate the thermal effects of the particular park [37,52].In the model used by Gao [32],buildings green spaces and roads are linearly arranged and a typical summer weather condition is used.Simulation results show that two urban choices are equivalent to maintaining the same daily average air temperature of about 30.5 C;one uses a bulk ratio of 200%with a relatively lower green area,and the other uses a bulk ratio of 700%with a large green open space.For the 600%bulk ratio case with a road ratio of 20%,a 30%green area can reduce air temperature by nearly 1 C and a 50%green area can reduce it by nearly 2 C.Parametric studies were conducted by Dimoudi and Nikolopoulou [18]using CFD,with various densities of urban structures and sky view factors,green area sizes,distances from green areas,climatic conditions,and vegetationspecies.Fig.7.Field measurement points conducted in Tsuen Wan on 9th May 2008.Table 1Meteorological data recorded by Hong Kong Observatory ’s station on 9May,2008,including air temperature (T),global solar radiation (Radiation),relative humidity (RH),wind speed (V)and duration of sunshine (Sunshine).Date Measurement period T ( C)Radiation (W/m 2)RH (%)V (m/s)Sunshine (h)9May 200815:00e 16:0029.9e 31.0580e 83065e 750.9e 1.710.5Fig.8.Mobile meteorological station.Table 2Field measurement results of air temperature (T ),relative humidity (RH),and wind speed (V ).Point index Measurement time T ( C)RH (%)V (m/s)G3115:00e 15:1030.668.6 1.2G3215:15e 15:2530.968.0 1.8G3315:30e 15:4533.161.3 1.2G4115:00e 15:1034.060.7 1.3G4215:15e 15:2533.064.1 1.8G4315:30e 15:4532.964.61.4E.Ng et al./Building and Environment 47(2012)256e 271260Increasing the size of the park (the same as a single building in the layout plan)to double its original area leads to a reduction of air temperature by 1K,and increasing the size of the park to more than three times its original area leads to further reduction of air temperature by 1.5e 3K.Moreover,as the building-height-to-street-width ratio increases,the wake effect increases.Therefore,mixing of air is reduced.This keeps the effect of the park relatively local.In another parametric study by a team lead by Moriyama [39,40],introduction of a greenery coverage of 30%was found to reduce urban air temperature by 1 C.With the study result,Mor-iyama suggested that for the study area in the Osaka central district,the greenery ratio should be more than 30%.2.2.On-site survey and remote sensingBesides numerical simulation,another traditional and widely used approach is to conduct on-site observations by fixed stations or mobile equipment.This can be employed to study the environment on a standalone basis [18,23,29,30,35,49].With the wider applica-tion of computers,the trend is to use both on-site survey and model simulations to cross-check [27,28,47].The review conducted by Chen and Wong [28]found that when greening is arranged throughout a city in the form of natural reserves,urban parks,neighborhood parks,rooftop gardens,and so forth,the energy balance of the whole city can be modi fied through the added evaporating surfaces.Urban temperature can thus be reduced.According to the field measurements in Kumamoto,Japan [35],high temperature regions were found in densely built environ-ment:the higher the ratio of green area,the lower the air temperature.Even for a small green area (60m Â40m),the cooling effect can be bene ficial.The maximum difference between inside and outside the small green area was found to be 3 C.Memon et al.[16]found that the maximum temperature reduction under the proposed combined mitigating measures of vegetation,lighter color of paving,no air-conditioning,and roof spray cooling was around 1e 1.5 C.Field measurements by Gao [32]reported that in Tokyo,vegetated zones during summer are on the average 1.6 C cooler than non-vegetated zones;and in Montreal,urban parks can be 2.5 C cooler than surrounding built areas.Jonsson reported that the measured summer daytime temperature of oases can be 2 C cooler than the surrounding open fields of bare soil [47].Field measurements in a city in the west of Tokyo [31]showed that a park size of 0.6km 2can reduce air temperature by up to 1.5 C at noon time in a leeward commercial area at a distance of 1km.Nonetheless,most of the available studies on vegetation in flu-ence have been done for temperate and desert climates,focusing on medium and low-density environments with a building-height-to-street-width ratio of not higher than 2.In Hong Kong,local researchers [44]surveyed 216sites of residential buildings,sug-gesting that in areas with 30%tree cover or more,the UHI will decrease.More speci fically,it has been suggested by the study that increasing tree cover from 25%to 40%in pocket parks near a coastal residential development of Hong Kong can reduce the daytime UHI by a further 0.5 C.Furthermore,for both daytime and night time during PSCS-days,the “tree cover dominated ”locations are cooler by 0.5e 1 C compared with the “shrub cover dominated ”locations.In Hong Kong,studies using remote sensing techniques to derive relevant information on urban land cover and surface temperatures have been conducted [45].Using the Geographic Information System (GIS)platform,satellite-derived land use/cover maps dis-playing the vegetation distribution were analyzed against land surface temperature maps to assess the in fluence brought about by vegetation.On-site measurements have been carried out [47],and statistical methods,such as the regression model and correlation analysis,have been used to analyze the data [48].3.Parametric studies using ENVI-METENVI-met is a three-dimensional numerical model with a typical resolution of 0.5e 10m in space and 10s in time.TheTable 3Weather conditions of the selected days for veri fication with long-term monitoring.DateAir temperature Mean relative humidity (%)Mean wind speed (m/s)Daily global solar radiation (MJ/m 2)Total sun hour (h)Max ( C)Mean ( C)Min ( C)9May 200831.027.825.984 5.125.1410.516May 200829.225.223.367 4.824.7910.724May 200829.527.626.383 4.318.34 6.520June 200832.628.726.579 4.123.759.621June 200832.928.726.478 2.426.3410.922June 200832.428.726.177 3.526.5011.704July 200832.729.027.179 2.125.4410.217July 200831.729.126.978 4.627.1012.124July 200832.529.627.672 4.827.7311.502Aug.200832.429.127.377 4.220.4810.313Aug.200831.829.027.075 3.426.5010.426Aug.200831.628.526.6783.126.0310.8Source:.hk/wxinfo/pastwx/extract.htm.Fig.9.Site plan for ENVI-met simulation.E.Ng et al./Building and Environment 47(2012)256e 271261model is a tool for studying the surface e plant e air interactions in the urban environment at the microclimate scale [20].Although it is not an open source software,ENVI-met is a freeware program based on different scienti fic research projects.Some recent studies have used ENVI-met to simulate the effect of urban vegetation on microclimate [20,21,24,28,54].Spangenberg et al.[21]conducted studies in São Paulo,Brazil,which has climate conditions similar to Hong Kong.Their study results show that among the three simu-lated cases,canyons covered with less dense (LAI ¼1)and dense tree (LAI ¼5)canopies respectively have on average 0.5and 1.1 C lower air temperatures than the case without trees.The cooling effect was also found to be less than that reported by Ali-Toudert and Mayer [20],which was up to 1.5 C for a hot-dry city e which can be explained by the higher cooling effect of evapotranspiration due to the dryer air in the study.The São Paulo studyfurtherFig.10.Air temperature (K)at 2m above ground at 3pm from ENVI-metsimulations.Fig.11.The relationship between ENVI-met simulation temperature and measurement temperature (3pm on 9th May2008).Fig.12.The reference station installed on the roof of Bo Shek Mansion.E.Ng et al./Building and Environment 47(2012)256e 271262concluded that creation of a greener city and mitigation of UHI are possible only through the implementation of city-wide changes from groups of trees to large-scale green space interventions as encouraged by modified building codes and citizen’s initiatives. 3.1.Verification withfield measurementsFor the present study,ENVI-met isfirst verified usingfield measurements.An urban area in Tsuen Wan,Hong Kong was selected for the verification.The location is shown in the map (Fig.6).The chosen study area has a dense building morphology and congested road patterns(Fig.7)commonly found in Hong Kong.Tsuen Wan is a bay and approaches a mountain to the north 1e2km away.A few scattered parks are located in this area.Overall the road patterns are regular and arranged in the direction of northwest e southeast.Two types offield measurements are used for the verification. Thefirst one is an on-site spot measurement covering spatially distributed locations considering the spatial variation of the microclimatic condition of the site.The second one is a long-term meteorological monitoring of a reference station(Fig.7).3.1.1.Verification with spot measurementAn on-site spotfield measurement was carried out between 15:00and16:00on9th May2008.The observation site consists of mixed commercial and residential buildings arranged in a compact form where a park of about100m2area lay in the center,rendering it a suitable candidate for observing the different microclimatic responses due to the varied land covers.On the measurement day, the prevailing wind came from the east according to the rooftop reference wind mast station set up nearby.Meteorological data from a station of Hong Kong Observatory near the site is presented in Table1.A number of identical set of mobile meteorological stations were used(Fig.8).The TESTO4003-function sensor probe was used in this study for simultaneous measurement of air temperature, relative humidity and wind speed.These were DIN EN ISO 9001:2000certified and calibrated in the laboratory prior to the field studies.The data was sampled every10s and logged manually every10min.As shown in Fig.8,the mobile meteorological stations were positioned at a height of2m for the measurement[55]at the measurement points.Table2shows the measurement results.An ENVI-met model was constructed according to the actual geometry of the site;with the highest building being100m. Settings as in Table3were used.The model was simulated for24h (Fig.9)starting6am and ending6am the day after.This is because the best time to start is at sunrise and the total running hour should be longer than6h to overcome the influence of the initialization. The simulation results were observed(Fig.10),and the specific air temperatures of the measurement points were extracted,plotted, and compared with thefield measurements.Notably thefield measurement results were normalized with Hong Kong Observa-tory data assuming temperature changes at different spots at the same pace.Fig.10shows that there can be a significant reduction in air temperature of0.8e1.3K in the park area compared with nearby built-up urban areas.The relationship of both results was found to be correlated with an R-squared value equal to0.765(Fig.11).The verification process further rationalizes the use of ENVI-met to study the microclimate issues involving greening in a dense urban environment of Hong Kong with sub-tropical hot and humid summer climatic conditions.3.1.2.Verification with long-term meteorological station monitoringA HOBO meteorological station was installed at the top of Bo Shek Mansion(as shown in Fig.7)as reference station to monitor the long-term meteorological condition of the study site(Fig.12). The meteorological station is at90m above ground level,and keeps record of temporal variation of the local climatic condition, including air temperature,relative humidity,wind speed,radiation, etc.Whole-year monitoring was carried out and the10m average value was recorded.For the objective of this study,12days from May to August,2008were selected for the verification.Weather conditions of the selected days are shown in Table3.ENVI-met simulations were carried out for each of the selected day,and the simulated air temperatures at15:00were extracted and compared with the HOBO records.Fig.13shows the correlation result.The result shows reasonable agreement between ENVI-met simulation and measured results,with R-square in the order of 0.625.Judging from the verification result using on-site spot measurement and also long-term monitoring,the usefulnessof Fig.13.The relationship between ENVI-met simulation temperature and HOBO meteorological monitoring records,from May to August,2008.Table4Verified ENVI-met simulation settings.Applicable period Initial temperature Start time Relative humidity at2m(%)Wind direction Wind speed at10m(m/s)Albedo of roofs Albedo of walls May-August Daily min6am70e90East0.5e1.50.30.2E.Ng et al./Building and Environment47(2012)256e271263。
Paula Radcliffe Athletic StadiumBrockington Soccer PitchEHB Rubber CrumbBrockington Practice Ground& Cricket NetsSCIENCE & ENTERPRISEPARKSPORTSPARKUNDER DEVELOPMENTUNDER DEVELOPMENTLOUGHBOROUGHPARKHOLYWELL PARKM1, Junction 23112111105No. Building Name Grid Ref Ref RefRef1 MBCCharnwood Wing B7 – Ergonomics and Safety Research Institute – fuel and dine @ Holywell Café – Materials 2 MBGGarendon Wing A7 – Centre for Renewable Energy and Systems Technology (CREST)– Computer Science– Higher Education Academy – Information and Computer Science Subject Centre/Information Science Department – Information Science – LISU– Research School of Informatics– Systems Engineering Innovation Centre (SEIC) 3 HB Holywell Building B7 – Energy Technologies Institute (ETI)– Mechanical and Manufacturing Engineering, Wolfson School of (Mechatronics Research Centre)4 SDR Sir Denis Rooke Building B7 – imago at Holywell Park– Systems Engineering Innovation Centre (SEIC)No. Building Name Grid Ref Ref RefRef111 LP1 Michael Pearson EastA6– Great Britain Wheelchair Basketball – Sports Technology Institute 112 LP2 Michael Pearson West A6– CASCAiD– Sport EnglandNo. Building Name Grid Ref Ref RefRef5 FO Henry Ford College C66 SM Stewart Miller Building C6 – Aeronautical and Automotive Engineering7 S S Building C5 – Aeronautical and Automotive Engineering – Chemical Engineering– Institute of Surface Science and Technology (ISST) – Loughborough Materials Characterisation Centre (LMCC) – Materials8 W Sir David Davies Building C6 – Electronic and Electrical Engineering – Mathematical Sciences– Mathematics Learning Support Centre (West Park) – Physics– taste @ Westside Café9 BU imago at Burleigh Court D610 KG Keith Green Building D5 – Engineering Centre for Excellence in Teaching and Learning (EngCETL) – Lecture Theatres– Postgraduate Teaching Facility– Typhoon Squadron, Defence Technical Undergraduate Scheme11 DH David Collett Hall and Dining Room D512 T/TWWolfson Building C/D5 – fuel Station– Loughborough Innovative Manufacturing and Construction Research Centre– Mechanical and Manufacturing Engineering, Wolfson School of 13 RT Sir Frank Gibb Building C5 – Centre for Innovative and Collaborative Engineering (CICE) – Civil and Building Engineering 14 PP WEDC 1, 2, 3 C515 HH John Pickford D5 – Civil and Building Engineering– European Construction Institute (ECI) – WEDC16 RL Sir Frank Gibb Laboratories D5 – Civil and Building Engineering 17 TT Wolfson Annex D5 – Mechanical and Manufacturing Engineering, Wolfson School of 18 X Pilkington Library D5 – fuel @ Paper 676 – Information Science – taste @ Café 641– University Library Holywell Soccer Pitch C6 Holywell I Pitch D6 Holywell II Pitch D7Holywell III PitchC7No. Building Name Grid Ref Ref RefRef19 RB Robert Bakewell Hall D420 HR Hazlerigg Rutland Hall D421 ER Elvyn Richards E4 – taste @ elvyn21 ER Elvyn Richards Dining Room D522 GH Imago Sales Office E4 – University Dining Suite (DeLisle Bar/Grace Dieu Room)23 FA Faraday Hall D/E423/4 FR Faraday Royce Dining Room E424 RO Royce Hall D/E425 RU Rutherford Hall E325/6 CR Cayley Rutherford Dining Room E326 CA Cayley Hall E327 SA Mumford Arts Centre and Pottery Cottage E328 WH Whitworth Building E429 PO Purple Onion E4 – Shops 30 TE Telford Hall E431 Loughborough University Fitness Suite (LUFS) E432 MC Medical Centre F4 – Medical Centre– Mental Health Support Team 33 RC imago Services F4 – Student Accommodation Centre 34 JPJohn Phillips Court E3Paddock PitchE4No. Building Name GridRef Ref RefRef36 V Administration 2 F4 – Academic Registry– Admissions – Postgraduate (Taught Programmes) – Admissions – Undergraduate – Examinations Office– Finance Office, Income and Student Finance – Planning37 SS Student Services F4 – Facilities Management – Facilities Projects – Personnel Services– Student Records and Enquiries 38 LB International Office F4 – International Office39 PM Estates Workshop and Store F4 – Facilities Management – Facilities Services 40 AA Holywell Drive 11 (White House) F5 – Facilities Management – Business Services 41 HD7 Holywell Drive 7 F5 – Teaching Centre 42 HD3 Counselling Service F543 FL Falkner Court G544 HO The Holt J645 EC Eggington Court G546 E Loughborough Innovation Centre G447 CC/DJames France Building G4 – BHF National Centre for Physical Activity and Health – fuel @ Coffee Corner – Human Sciences – Lecture Theatres – Muslim Prayer Room– Sport and Exercise Sciences, School of 48 SMBStewart Mason Building G4 – Lecture Theatres– Postgraduate Teaching Facility 49 L Wavy Top G4 – Human Sciences 49 GG GG Block G4 – Human Sciences 50 F Chemistry Building G4 – Chemistry 51 G G Block G4– Lecture TheatresNo. Building Name Grid Ref Ref RefRef52 H Graham Oldham Building G4 – Chemistry53 J Edward Herbert Building (EHB) F4 – Bradgate – dine @ the Linford – fuel Box @ EHB – Launderette – Lecture Theatres – Sports Hall – Squash Courts and Table Tennis – taste @ EHB54 M Sir Arnold Hall Building (Administration 1) F4 – Finance Office, Payments, Payroll and Pensions – Purchasing Office– Vice-Chancellor, Director of Finance, Chief Operating Officer 55 K Herbert Manzoni Building F4 – Careers Centre – Design and Print Services– Disabilities and Additional Needs (DANS) – Lecture Theatres – Mailroom– Staff Development– Student Guidance and Welfare 56 ED International Student Centre F4 – International Student Centre and the Centre for Additional Learning Support 57 B Brockington Building G4 – The Chaplaincy Centre – Human Sciences – Social Sciences 58 U Brockington Extension G4 – Human Sciences – Social Sciences 59 A Schofield Building G3 – Centre for Research in Social Policy (CRSP) – Mathematics Education Centre– Mathematics Learning Support Centre (Central Park) – Politics, International Relations and European Studies – Social Sciences60 BE Sir Richard Morris Building G3 – Business School – Economics– Professional and Management Development Centre 61 N Haslegrave Building G3 – Computer Science – IT Services62 HP Haslegrave Pavilion F363 NCA Sir John Ferguson Building– ECB Cricket Performance CentreNo. Building Name GridRef Ref RefRef64 HPA Hockey Pavilion F365 HPC Seb Coe High Performance Athletics Centre F366 HA Hazlerigg Building G367 RH Rutland Building G2 – Admissions – Postgraduate (Research) – Development and Alumni Relations Office (DARO) – Enterprise Office – Health, Safety and Environment Office (From start 2009) – Marketing and Communications – Public Relations Office – Research Office – Research Student Office 68 PA Paula Radcliffe Pavilion G2 – English Athletics 69 SU/RL Rutland Lodge G2 – Nursery – Shops and Bank 70 SU Loughborough Students’ Union G2 – Banks and Shops – Catering Outlets – Dentist – Pharmacist 1st XV Rugby Pitch G3 Paula Radcliffe Athletic Stadium F2 Brockington Cricket Nets G3/4 Brockington Practice Ground G3 Brockington Soccer Pitch G3 Cayley Pitch F3 EHB Rubber Crumb F3 Garden of Remembrance F4 Haslegrave Cricket Ground F3 Hazlerigg Tennis Courts and ECB Nets G3Water Based Hockey Pitch F3holyWell PArKvillAge PArKCentrAl PArKCentrAl PArKCentrAl PArKloUghboroUgh PArKWeSt PArKNo. Building Name Grid Ref Ref RefRef71 MR William Morris Building F272 William Morris Hall G173 ECB Residences G174 SW Swimming Pool G/H275 SE Security Gatehouse G2 – Security Office 76 UU Performance Centre H3 – English Institute of Sport (EIS) Offices – PowerBase– Sport and Exercise Sciences, School of – Sports Science/Medicine77 UU EIS National Gymnastics Performance and Research Centre H3 – Sport and Exercise Sciences, School of 78 SP Sir David Wallace Building H2/3 – Sport and Exercise Sciences, School of – Sports Hall79 JB Sir John Beckwith, Centre for Sport H3 – British Triathlon– English Federation of Disability Sport, East Midlands (EFDS) – FA National Women’s Player Development Centre – Institute of Sport and Recreation Management (ISRM) – Institute of Youth Sport– Peter Harrison Centre for Disability Sport – Sport and Exercise Sciences, School of – Sports Coach UK– Sports Development Centre – Youth Sport Trust 80 WW Victory Hall H3 – Sport and Exercise Sciences, School of – Sports Hall81 XX Bridgeman Centre H3 – Design and Print Services– Design and TechnologyNo. Building Name Grid Ref Ref RefRef 82 YY John Cooper Building H3– Sport and Exercise Sciences, School of 83 T8 Towers Bungalow 8 H4 – Health, Safety and Environment Office (Until end 2008)84 ZZ Matthew Arnold Building H4 – Design and Technology – English and Drama – Sport and Exercise Sciences, School of – Teacher Education Unit 85 MM John Clements Building H3 – English and Drama – Geography – Sport and Exercise Sciences, School of 86 TO Towers H487 TO/DR Towers Dining Room and East Park Bar H488 JJ Ann Packer Building H4 – Geography – Sport and Exercise Sciences, School of 89 KK Music Centre H3 – Arts Centre – English and Drama – Music Centre 90 LL Dance Studio H391 QQ John Hardie Building H3 – Sport and Exercise Sciences, School of 92 NN Martin Hall H3 – English and Drama – Geography – Leonard Dixon Drama Studio – Sir Robert Martin Theatre – taste @ Martin Hall 93BC Butler Court H/J3No. Building Name Grid Ref Ref RefRef94 NB Netball/Badminton Centre J4– Badminton England – British Cycling – England Netball– Leicester-Shire and Rutland Sport 95 TC Dan Maskell Tennis Centre J496 LT The Tennis CentreJ4 – Tennis Midlands and Tennis Leicestershire 97 Edward Barnsley BuildingJ3 – School of Art and Design (LUSAD)98 Cope AuditoriumJ399 LUSAD 3D Design BuildingJ3 – School of Art and Design (LUSAD)100 LUSAD Fine Art Building K3 – fuel @ Gallery Café– School of Art and Design (LUSAD)101 LUSAD Fairbairn BuildingK2 – School of Art and Design (LUSAD)102 Loughborough Technology CentreH2– East Midlands Universities Association (EMUA)103 Ashby Road Houses H/J1104 HF Harry French Court H/J1105 HE Clyde Williams BuildingH3 – Health, Exercise and Biosciences – Sport and Exercise Sciences, School of LTA Outdoor Tennis Courts J4 Rubber Crumb Pitch H2 Towers Rugby PitchH4Towers Tennis and Netball CourtsH4eASt PArKNo. Building Name Grid Ref Ref RefRef106 FC Forest CourtK4107 LUSAD Frederick StreetK1– School of Art and Design (LUSAD)off CAMPUSCAMPUS KeyUniversity Shuttle BusPay and DisplayCar ParkingP £P 6SResidential Buildings Department Buildings Facility BuildingsIndoor Sports FacilitiesUniversity BoundriesDining Room Restaurant Cafe BarShopoff CAMPUS SiteS1F OR ES T R O A D P A R K R O A D PPF O R E S T R O A D P AR K R O A Dforest Courtfrederick StreetC A LD WE LL S TR E E TF R E DE R I C K ST R E ET P A C K ES T R E ET。