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物联网翻译

物联网翻译
物联网翻译

第一题:

The proposed IoT architecture from a technical perspective is shown in Fig. 1. It is divided into three layers. The basic layer and their functionalities are summarized as follows: Perception layer: itsmainfunctionistoidentifyobjectsand gather information.Itisformedmainlybysensorsand actuators, monitoringstations(suchascellphone,tabletPC,smart

phone,PDA,etc.),nano-nodes,RFIDtagsandreaders/

https://www.doczj.com/doc/ae7325424.html,work layer:it consists of a converged network made up of wired/wireless privately owned networks, Internet, network administration systems, etc. Its main function is to transmitinformation obtained from the perception layer. Application layer: itisasetofintelligentsolutionsthatapply the IoTtechnologytosatisfytheneedsoftheusers.

2.1. Perception layer

This layer provides context-aware information concerning the environment of disabled people. The components of this layer according to the disability of the person (visually impaired, hearing impaired or physically impaired) are described next.

2.1.1. Visually impaired

The componentsdesignedforthevisuallyimpairedare:(1) body micro-andnano-sensors and (2) RFID-based assistivedevices. Next,

thosecomponentsareintroduced.

2.1.1.1. Bodymicro-andnano-sensors. In Schwiebert etal.(2001), a retinal prosthesis is developedtorestoresomevisionto patients affectedbyretinitispigmentosaandage-related macular degeneration,twodiseasesthatcausedegenerative blindness. Althoughthesedisordersarecharacterizedbythe progressive lossofphotoreceptor(rodandcone)cellsofthe outer retina,theydonotaffecttheinnerretinalganglionnerve cells whichformtheopticnerve(Ye etal.,2010). Consequently,a camera mountedonapairofglassescanbeusedtotransmit image datatoanimplantattachedtotheretina,whichisformed by anarrayofbodymicro-sensors.Thisartificialretina (Schwiebert etal.,2001) useselectricalimpulsestostimulate the appropriateganglioncells,whichconverttheseelectrical impulses intoneurologicalsignals.Thegeneratedresponseis carried viatheopticalnervetothebrain.

Currently, researchersareworkingtodevelopan artificial retina atthenanoscale. Theventure Nano Retina is developing Bio-Retina, abionicretinathatincorporatesseveralnano-sized components inatinyretinalimplant(see Fig. 2). Bio-Retinais designedtoreplacethedamagedphotoreceptorintheeyewiththe equivalentofa5000pixel(second generation)retinal implant. It

transformsnaturallyreceivedlightintoanelectricalsignalthat stimulatestheneurons,whichsendtheimagesreceivedbyBio-Retinato the brain. The implant’s nano-sized components are powered by a special pair of activation eyeglasses. In the next years, as technology evolves, it will be possible to send information concerning the images captured by the artificial retina towards the monitoring station (smart phone) (see Fig. 1), so that new IoT applications to help people with visual impairments in their orientation, identification of faces, etc. will be developed.

2.1.1.2. RFID-basedassistivedevices. An essentialRFID-based application isthe navigation system. Ithelpsblindpeoplefind their wayinanunfamiliararea.RFIDtagsaredistributedthrough the area.Theycanforexamplebeplacedinthecenterofthe sidewalks toorienttheblindpersonandpreventpossiblefalls near theborderofthesidewalk(Saaid etal.,2009).

The RFID cane (see Fig. 1) has a tag reader with an antenna that emits radio waves; the tags respond by sending back their stored data, hence identifying the location of the blind person. The tag reader (RFID cane) transmits via Bluetooth or ZigBee the data read from the RFID tag, which includes the tag ID string (D’Atri et al., 2007). This data is sent from the monitoring station through the network layer to the RFID server of the application layer. The blind

person can record the destination’s name as a voice message using the monitoring station. Directions are received by the monitoring station and played as voice messages (Shiizu et al., 2007).

An obstacle detectionsystem based onanultrasonicsensorcan also beadded(Martin etal.,2009). Thesensorismountedonthe RFID canetoextenditseffectiverangeandperceiveobstaclesthe cane alonewouldnotbeabletodetect(suchasagarbagecanin Fig. 1). Avoicemessageplayedatthemonitoringstationalerts the visuallyimpairedwhenanobstacleisdetected.Amultiple sensor-based shoe-mountedsensorinterfaceisalsodevelopedin Zhang etal.(2010) as asupplementarydevicetothecaneto detect obstacleswithin61cmaheadofthevisuallyimpaired.

A widespread approach for outdoor navigation relies on Global Positioning System (GPS). It does not require tags to work. However, its resolution is limited (few meters) and it cannot work properly indoors. Therefore, some navigation systems for the visually impaired integrate both technologies (RFID and GPS) (Yelamarthi et al., 2010).

Thislayer(see Fig. 1) enablestheaccessofthemonitoringstations to theradiochanneltotransmittheinformationobtainedfromthe perceptionlayer.AlthoughtheInternetprotocolswereoriginally designedforfixednetworks,thereisagrowingneedforthese

protocolstoaccommodatemobilenetworks,asdemonstratedby theuseofmanydifferentwirelessaccesstechnologiesinIoT(EU FP7 ProjectCASAGRAS,2009). Thedifferenttransmissionmediainclude WirelessLocalAreaNetworks(WLANs)(IEEE802.11variants), WorldwideInteroperabilityforMicrowaveAccess(WiMAX)(IEEE 802.16), Bluetooth(IEEE802.15.1), Ultra-wideband(UWB)(IEEE 802.15.4aandECMA-368),ZigBee(IEEE802.15.4),GeneralPacket RadioService(GPRS)andWidebandCodeDivisionMultipleAccess (WCDMA). Wirelessadhocnetworksareagoodoptiontoestablish wirelessandmobilecommunicationswithintheIoT,sincetheydo not relyonapreexistinginfrastructure,theyrequireminimalconfig- https://www.doczj.com/doc/ae7325424.html,workscomposed ofdifferentaccesstechnologiesareknownas heterogeneousnetworks and they should maintain connectivity and service for different applications even with user mobility.

The convergence of heterogeneous networks and applications is possible due to the existence of a single Internet Protocol (IP)- based network. The IP for Smart Object (IPSO) Alliance is a non- profit association of more than 50 members from leading technology, communications and energy companies. They advocate the use of IP networked devices to build the IoT (Dunkels and Vasseur, 2010). They stress that IP is a long-lived and stable

communication technology that supports a wide range of applications, devices and underlying communication technologies. In addition, the end-to-end IP architecture is lightweight, highly scalable and efficient. Furthermore, the authors of Internet ? also recommend the use of the IP protocol to offer the Internet’s interoperability and scalability directly to embedded devices rather than needing gateways for protocol conversion(Gershenfeld and Cohen, 2006).

It is necessary to ensure the connectivity, interoperability and compatibility of heterogeneous networks. The low-power net- working industry, from ZigBee ad hoc control to industrial automation standards (e.g. ISA100), is quickly converging to the use of IP technology (Shelby and Bormann, 2009). In this sense, 6LoWPAN is the name of a working group of the Internet Engineering Task Force (IETF) that has developed a set of Internet standards, which enable the efficient use of IPv6 over Low-power Wireless Personal Area Networks (6LoWPANs). 6LoWPAN enables resource-limited embedded devices (often battery-powered) in low-power wireless networks to be Internet-connected by simplifying IPv6 (header compression of IPv6 header fields) and taking the nature of wireless networks into account.

The IPv6 protocol stack with 6LoWPAN is shown in Fig. 4. A small

adaptation layer (named the LoWPAN adaptation layer) has been defined in the 6LoWPAN protocol stack (see Fig. 4) to optimize the transmission of IPv6 packets over IEEE 802.15.4 and similar link layers (Shelby and Bormann, 2009). IEEE 802.15.4 is a standard that defines the physical and MAC layers for low-power, low-rate wireless embedded radio communications at 2.4 GHz, 915 MHz and 868 MHz.

The adoption of Internet protocols by wireless embedded devices is challenging due to several reasons (Shelby and Bormann, 2009): Battery-powered wireless devices require low duty cycles, whereas IP is based on always connected devices.

Multicast is not supported natively in IEEE 802.15.4 but it is essential in many IPv6 operations.

Sometimes it is difficult to route traffic in multi-hop wireless mesh networks to achieve the required coverage and cost efficiency.

Low power wireless networks have low bandwidth (20–250 kbit/s) and frame size (IEEE 802.15.4 packets are rather small, 127 bytes maximum at the physical layer, minus MAC/security and adaptation layer overhead). On the otherhand, the minimum datagram size that all hosts must be prepared to accept, for IPv6 is 1280 bytes. IPv6 requires that every link in the Internet has a Maximum Transmission Unit (MTU) of 1280 bytes or greater. On any link that

cannot convey a 1280-byte packet in one piece, link-specific fragmentation and reassembly must be provided at a layer below IPv6.

Standard protocols do not perform well in low-power wireless networks. For example, TCP performs very poorly in wireless networks due to its inability to distinguish between packet losses due to congestion and those due to channel error.

2.3. Application layer

This layer(see Fig. 1) providesan operation supportplatform, which canbeaccessedbymonitoringstationsandapplications. It providesimportantfunctionalitiessuchasauthentication, billing, servicemanagement,serviceacceptanceandroutingof packets basedondefinedpolicies.IPMultimediaSubsystem (IMS) isatransportplatformwell-suitedtoperformthese functions (Domingo, 2011), sinceservicescanbeofferedtothe subscribers independentlyoftheaccessmediaused,heterogeneous networkscanbeeasilyintegratedandnewapplications and servicescanberolledoutfasterreusingwelldefinedcommon functions suchasauthentication,serviceprovision,billing,group management andpresence.Thisway,theIoTcanbeuniformly managed.

The Web of Things (WoT) is a vision where smart objects are integrated with the Web. Smart object applications can be built on

top of Representational State Transfer (REST) architectures (Fielding and Taylor). The REST architectural style decouples applications from the services they provide, which can be shared and reused. The key abstractions of information in the REST architecture are resources (e.g. a document or image). Resources in web-based REST systems are identified by Universal Resource Identifiers (URIs). REST-style architectures consist of clients and servers. Clients initiate requests to servers; servers process these requests and return the appropriate responses. Resources are accessed by clients using methods such as GET, PUT, POST and DELETE of Hypertext Transfer Protocol (HTTP). The resources themselves are conceptually separate from the representations that are returned to the client. For example, the server does not send its database, but rather, perhaps, some HyperText Markup Language (HTML), Extensible Markup Language (XML) or Java- Script Object Notation (JSON) that represents some database records depending on the details of the request and the server implementation.

A web service is a software system designed to support inter- operable machine-to-machine interaction over a network. Web services enable the communication between processes applying REST for the manipulation of resources using HTTP, or Simple Object Access Protocol (SOAP) for sending messages and making Remote

Procedure Calls (RPCs) in a distributed environment.

However, the technologies deployed for web services are not appropriate for constrained networks and devices (Shelby, 2010). The protocols used to realize RESTful web services have several serious problems when applied to constrained networks. HTTP headers are frequently too large and require fragmentation in 6LoWPAN networks (using IEEE 802.15.4). TCP is not well-suited for wireless networks, the HTTP request/response pull model (request initiated by the client) does not work well in sensor networks with very low duty cycles and HTTP, as currently used between modern servers and browsers, has evolved into a highly complex protocol. Therefore, the RESTful web service paradigm needs to be extended. The Internet Engineering Task Force (IETF) Constrained REST- ful environments (CoRE) working group has defined a REST based web transfer protocol called Constrained Application Protocol(CoAP) (Shelby et al., 2011). The aim of CoAP is to extend the REST architecture for constrained IoT devices and networks (e.g. 6LoWPAN). It has been designed taking into account the requirements of important Machine-to-Machine (M2M) applica-tions such as energy and building automation. We also think it is appropriate for the IoT applications for people with disabilities. CoAP consists of a subset of REST common with HTTP functionalities,

which have been optimized for M2M applications. CoAP offers features for M2M applications such as very low overhead, multicast support and asynchronous message exchanges.

第二题

3. Application scenarios

Next, several application scenarios of the Internet of Things for handicapped people are introduced. They illustrate the interaction of the different components of the IoT architecture.

3.1. Shopping scenario

In thisscenario,peoplewithvisualimpairmentsshop autonomously asshownin Fig. 6. The blind navigationsystem helps them tofindtheirwayinastore.Thestore’sRFIDsystemcanuse software toguidethevisuallyimpairedinshopping.In Lo′pez-de- Ipin?a etal.(2011), anRFID-tagbasednavigationsystemis proposed. Thesupermarketisdividedintocellscontainingashelf and passagewaycells.RFIDtagsaredistributedthroughthefloor. The tagIDswithinacellaremappedtonavigationinformation such asthetypeofagivencellandthetypesofneighboringcells. The monitoringstation(smartphone)maintainsaBluetooth connection withtheRFIDreader(smartcane)oftheusertokeep track

ofhis/herpositionanytimeusingthemappingoftagIDs with navigationinformation.Thespeechsynthesisandrecognition moduleofthemonitoringstation(smartphone)enablesthe visually impairedpersontosaythesectionofthesupermarket where he/shewantstogo.Theroutetofollowisobtained invoking webservicesthroughaWLANconnectedtotheInternet. As thevisuallyimpairedwalks,routingdirectionsfroman android applicationarereceivedthroughtheheadphoneofthe smart phoneandplayedasvoicemessages.

RFID tags attached to the supermarket products supply pro- duct data such as name, description and price. Sensor enabled RFID tags provide essential data such as temperature or shocks during transportation. The tag reader (RFID cane) transmits the tag ID string to the monitoring station, which forwards it to the RFID server (Krishna et al., 2008). Product information is returned from the RFID database to the monitoring station and played as voice messages. Additional product characteristics can include food composition, caloric intake and specific data related to the user profile such as food allergies and intolerances. Friend’s opinions about the product and price comparison with similar ones can be obtained using social networks. In Krishna et al. (2008), experiments of the RFID system were conducted to study detection range of RFID

readers with respect to different tags and materials (where the tag is installed); it was concluded that theproduct materials did not affect the performance of the RFID readers.

Several practical works have been developed related to this application scenario (Kulyukin and Kutiyanawala, 2010;Lanigan et al., 2007; Narasimhan, 2006; Nicholson et al., 2009; Winlock et al., 2010). In Lanigan et al. (2007) the authors propose Trinetra, a system designed to assist blind people in grocery shopping for product search and identification. As the visually impaired scans a grocery item with a portable barcode or RFID reader, the scanned input is sent via Bluetooth to the user’s smart phone, which checks its cache for a product match. In case of cache miss, the smart phone communicates through GPRS with a remote server or, in case of miss, with a public Universal Product Code (UPC) or RFID database, which converts the barcode or tag into a human- interpretable product name (and related information) and returns it to the smart phone. An onboard text-to-speech software in the smart phone converts the displayed text into speech. The advan- tages of RFID tags compared to barcodes are reprogrammability, ability to contain more product information and ability to read without line-of-sight reading (Narasimhan, 2006). Trinetra was success fully tested at the Carnegie Mellon University’s campus

store.

ShopTalk (Nicholson et al., 2009) is a wearable system to assist visually impaired shoppers. The users get verbal instructions from a handheld computer. Modified Plessey (MSI) barcodes located on the shelves enable navigation within the store. UPC barcodes enable product localization in a store aisle. In a production version, the system would connect to the store’s inventory control database and look up product information. Successful experiments with visually impaired participants were performed at supermarkets.

GroZi (Winlock et al., 2010) focuses on real-time product detection from mobile video in grocery stores. A user compiles a shopping list of products on the website and uploads it on aportable device. Later, the shopper scans a scene in the super- market with a camera. GroZi uses in vitro images of items (images of products taken under ideal lighting and perspective conditions) on the user’s shopping list to detect items in situ (from actual video stream). A hand glove with vibrating motors and the audio of the portable device are used to guide the shopper. The capability of detecting a shopping list’s items is demonstrated with experiments.

Automatic payment can also be performed using RFID. A scanner reads all items in the cart at once, totals them up and charges the customer’s account while adjusting the inventory. RFID credit cards

use a radio frequency to transmit personal financial data. Furthermore, periodic reports and statistics concerning the shopping can be computed and sent periodically from the monitoring server to the monitoring station.

第三题

5. Research challenges

Next, the research challenges to IoT for people with disabilities are introduced.

A keychallenge is customizationforpeoplewithdisabilities. Since handicappedpeoplehavespecialneeds,theIoTshouldbe adapted totheirparticularcircumstances.Smartworkflowsare context-aware processesthatareexecutedpervasively.Theytake context-aware decisionsbasedoncontextinformationofthe environment capturedautomaticallybysensors.Theauthorsin Wieland etal.(2008) describe anarchitecturethatconvertslowlevel context-awareinformationcapturedbysensorsintoinformation atthebusinesslevelusingsmartworkflows.Developers use businessprocessmodelingtoolstodescribesmartworkflow tasks. Prestoisamodel-based(Giner etal.,2010) software architecture

thatcapturestheconceptsthatareinvolvedinthe interaction between physical elements and their digital counter- parts. When the business models are deployed in an execution engine, humans are usually required to perform some tasks in a workflow. Presto’s architecture processes these demands and offers the appropriate mechanisms for users to complete these tasks by enabling their interaction with the physical world. The resulting system is capable of presenting to each participant in the process the services associated with his/her context (physical environment) according to his/her role and current pending tasks. This way, the user is guided through a workflow. For example, if a library member with a monitoring station (PDA) enters the library, Presto shows in the monitoring station the tasks that the user can initiate and complete depending on the available task processors. We propose that if the user is disabled, the list of tasks is received in an appropriate way. For instance, the return boxes of the library automatically detect the returned books by means of RFID. If the disabled person selects the ‘return book’ option, different ways to orient the user towards the closest return box according to his/her disability should be provided (visual or auditory related information, indications for paralytics about how to access the area where the return box is, etc.).

Another significant challenge to the IoT for people withdisabilities is self-management. Itreferstotheprocessbywhichthe IoT manages its own operation without human intervention.For thispurpose,supportfor self-configuration, self-healing,self-optimization and self-protection capabilities isrequired (Haller et al., 2009). Self-configuration is related to the automatic configuration of components; self-healing handles the automatic discovery and correction of faults; self-optimization focuses on the automatic monitoring and control of resources to ensure the optimal functioning with respect to the defined requirements; self-protection tackles the proactive identification and protection from arbitrary attacks. Self-healing is particularly important, since handicapped people usually depend on IoT devices to compensate for their disabilities. Therefore, the detection and elimination of faulty nodes and the design of efficient fault- tolerant algorithms are required.

Standardization is alsoaveryimportantchallenge.Itisnecessary tocreategloballyacceptedstandardstoavoid interoperability problems. 6LoWPANprovideswirelessinternetconnectivityto low-power deviceswithlimitedprocessingcapabilities,sothat they canbeusedintheIoT.Asaresult,withthisstandard, interoperabilityandintegrationwithcurrentheterogeneous

Internet-aware devicesisaccomplishedtoexpandtheIoTfor disabled people.Ontheotherhand,existingmobilityprotocols like MobileIPforIPv6(MIPv6)ormanagementprotocolslike Simple NetworkManagementProtocol(SNMP)cannotbedirectly applied to6LoWPANdevices,sincetheyareinefficientintermsof energy, communicationandcomputationcost(Jara etal.,2010). Therefore, moreresearchtoadaptexistingprotocolsorfindnew solutions isrequired.

Furthermore, enablingpeoplewithdisabilitiestoestablish deeper contactwiththeoutsideworldischallenging.IoTobjects can automaticallysharepictures,commentsandsensordatavia social networks.Forinstance,relativesofadisabledpersonthat belong tothesamesocialnetworkcanobtainreal-timedata about theactivitiesofthehandicappedperson(ifhe/sheis sleeping, eating,leavinghome,hasfallen,etc.).Thisinformation is automaticallysentby‘smartobjects’thatsurroundthedisabled person inhis/herdomesticenvironment(smarthome)(Kranz et al.,2010). Althoughdirectcommunicationwithdevicesvia social networksseemstobeanexcitingandpromisingwayof maintaining socialcontact,thepossibilityof machines flooding social networks with auto-generatedcontentexists.

The amount of traffic in the IoT will rise exponentially once

connections between most objects are established in the nextyears. Scalability is requiredtoguaranteetheproperfunctioningofthe IoT with a very high number of nodes. Senseless communications between ‘things’ should be avoided to favor scalability, since they increase the communication overhead and energy consumption.However, a minimum number of connections between devices should be established for the proper functioning of applications (such as enough tag density and messages to orient a blind person).

In addition, security andprivacyissues are real(Zorzietal.,2010). It isessentialtoguaranteetheprivacyoftheIoTforpeoplewith disabilities,whoareparticularlyvulnerable.TheIoTshouldbe protected againstdistributeddenial-of-serviceattacks,whichcanbe definedastheresultofanyactionthatpreventsanypartoftheIoT from functioningcorrectlyorinatimelymanner.Thevulnerabilities ofapplicationsandsensorsareexploitedtolaunchsuchattacks. Consequently,anefficientsecurityframeworkshouldbedeveloped. Cooperation between devicesintheIoTisalsoindispensable (Zorzi etal.,2010). Scenarioswheremorecapablenodes(monitoring stations)discoverotherresource-restrictednodes, synchronize withoneanotherandhelpeachotherinreliabledata deliveryseemverypromising.Nowadays,mostIoTmassconsumer

applications aremobiledevices-centered,sincemonitoringstations are morelikelytointegratesensing, computingandcommunication capabilities.However,weenvisionthatovertimemoredirectthing-

to-thing connections(between‘things’ thatarecurrentlyconsidered resource-restricted)willbeestablishedascommunication,proces- singcapabilities,technologiesdeployedforwebservicesandenergy harvestingtechniquesevolve.

Finally, weenvisionthattheIoTfordisabledpeople(especially physically disabledindividuals)willevolvedramaticallyinthe following years.Theadvancesofbrain–computerinterfaces(BCIs) made possiblethedevelopmentofprototypessuchasbrain- controlled prostheticdevices,wheelchairs,keyboardsandcom- puter games.InthefollowingyearsBCItechnologieswillbe brought outofthelabandtransformintoreal-worldapplications (Milla′n etal.,2010). Disabledpeoplewillbenefitfromthe advancements inBCItechnologycombinedwithassistivetechnologies in fourbasicapplicationareas(Milla′n etal.,2010): communication andcontrol(Internetbrowsing,e-mails),motor substitution (inparticulargraspingandassistivemobility),entertainment (gaming,musicbrowsing,photobrowsingandvirtual reality) andmotorrecovery.Neurophysiologicalsignals(electroencephalogram, EEG)originatingfromthebrainwillbeusedto control

传感器技术论文中英文对照资料外文翻译文献

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物联网工程英语

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ability of communication. The resulting information networks will create new business models, improve business processes, risk and reduce costs Michael cui, marcus method, and Roger Roberts In most organizations, the information spread along the familiar path. Proprietary information is placed in the database and make a analysis in the report and then start the management chain. Information collected from public sources, Internet information collection and information from suppliers to buy. But the forecast information is changing the way: the physical world itself is becoming a kind of information system. In so-called iot, sensors, and micro devices (actuators) is embedded in the physical module from highway to heart pacemakers is through wired or wireless network connections, is often connected to the Internet using the same Internet protocol. The network transmission of data is used for computer analysis. If some modules can sense the environment and can be used for information exchange, so they can become and rapid response to solve the problem of complicated tools. The information revolution in the field of the physical information system is developing continuously, and even some will also be able to work under a single intervention. Pill shape photomicrographic device has successfully through the human digestive tract, and back to the thousands of images to pinpoint the source of the disease. Composed of satellite and ground sensor data acquisition system through the wireless device can detect crop status and connected to the precision agriculture can adjust method for every

传感器外文翻译

Basic knowledge of transducers A transducer is a device which converts the quantity being measured into an optical, mechanical, or-more commonly-electrical signal. The energy-conversion process that takes place is referred to as transduction. Transducers are classified according to the transduction principle involved and the form of the measured. Thus a resistance transducer for measuring displacement is classified as a resistance displacement transducer. Other classification examples are pressure bellows, force diaphragm, pressure flapper-nozzle, and so on. 1、Transducer Elements Although there are exception ,most transducers consist of a sensing element and a conversion or control element. For example, diaphragms,bellows,strain tubes and rings, bourdon tubes, and cantilevers are sensing elements which respond to changes in pressure or force and convert these physical quantities into a displacement. This displacement may then be used to change an electrical parameter such as voltage, resistance, capacitance, or inductance. Such combination of mechanical and electrical elements form electromechanical transducing devices or transducers. Similar combination can be made for other energy input such as thermal. Photo, magnetic and chemical,giving thermoelectric, photoelectric,electromaanetic, and electrochemical transducers respectively. 2、Transducer Sensitivity The relationship between the measured and the transducer output signal is usually obtained by calibration tests and is referred to as the transducer sensitivity K1= output-signal increment / measured increment . In practice, the transducer sensitivity is usually known, and, by measuring the output signal, the input quantity is determined from input= output-signal increment / K1. 3、Characteristics of an Ideal Transducer The high transducer should exhibit the following characteristics a) high fidelity-the transducer output waveform shape be a faithful reproduction of the measured; there should be minimum distortion. b) There should be minimum interference with the quantity being measured; the presence of the transducer should not alter the measured in any way. c) Size. The transducer must be capable of being placed exactly where it is needed.

物联网中英文翻译

中原工学院信息商务学院毕业设计(论文)译文专用纸第 1 页 物联网 1.定义内涵 物联网的英文名称为The Internet of Things,简称:IOT。物联网通过传器、射频识别技术、全球定位系统等技术,实时采集任何需要监控、连接、互动的物体或过程,采集其声、光、热、电、力学、化学、生物、位置等各种需要的信息,通过各类可能的网络接入,实现物与物、物与人的泛在链接,实现对物品和过程的智能化感知、识别和管理。物联网是通过智能感知、识别技术与普适计算、泛在网络的融合应用,被称为继计算机、互联网之后世界信息产业发展的第三次浪潮。与其说物联网是网络,不如说物联网是业务和应用,物联网也被视为互联网的应用拓展。因此应用创新是物联网发展的核心,以用户体验为核心的创新2.0是物联网发展的灵魂。 2.“物”的涵义 这里的“物”要满足以下条件才能够被纳入“物联网”的范围: 1.要有相应信息的接收器; 2.要有数据传输通路; 3.要有一定的存储功能; 4.要有CPU; 5.要有操作系统; 6.要有专门的应用程序; 7.要有数据发送器; 8.遵循物联网的通信协议;

9.在世界网络中有可被识别的唯一编号。 3.“中国式”定义 物联网(Internet of Things)指的是将无处不在(Ubiquitous)的末端设备(Devices)和设施(Facilities),包括具备“内在智能”的传感器、移动终端、工业系统、楼控系统、家庭智能设施、视频监控系统等、和“外在使能”(Enabled)的,如贴上RFID的各种资产(Assets)、携带无线终端的个人与车辆等等“智能化物件或动物”或“智能尘埃”(Mote),通过各种无线和/或有线的长距离和/或短距离通讯网络实现互联互通(M2M)、应用大集成(Grand Integration)、以及基于云计算的SaaS营运等模式,在内网(Intranet)、专网(Extranet)、和/或互联网(Internet)环境下,采用适当的信息安全保障机制,提供安全可控乃至个性化的实时在线监测、定位追溯、报警联动、调度指挥、预案管理、远程控制、安全防范、远程维保、在线升级、统计报表、决策支持、领导桌面(集中展示的Cockpit Dashboard)等管理和服务功能,实现对“万物”的“高效、节能、安全、环保”的“管、控、营”一体化[1]。 4.欧盟的定义 2009年9月,在北京举办的物联网与企业环境中欧研讨会上,欧盟委员会信息和社会媒体司RFID部门负责人Lorent Ferderix博士给出了欧盟对物联网的定义:物联网是一个动态的全球网络基础设施,它具有基于标准和互操作通信协议的自组织能力,其中物理的和虚拟的“物”具有身份标识、物理属性、虚拟的特性和智能的接口,并与信息网络无缝整合。物联网将与媒体互联网、服务互联网和企业互联网一道,构成未来互联网。 5.变化

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