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智能家居定位系统中英文对照外文翻译文献

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2021-02-06 10:41
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2021年2月6日发(作者:咱们)


智能家居定位系统中英文对照外文翻译文献





智能家居定位系统中英文对照外文翻译文献






(


文档含英文原文和中文翻译


)




A Pyroelectric Infrared Sensor-based Indoor


Location- Aware System for the Smart Home


Suk Lee,


Member


, IEEE, Kyoung Nam Ha, Kyung Chang Lee,


Member


,


IEEE


Abstract




Smart


home


is


expected


to


offer


various


intelligent


services by recognizing residents along with their life style and feelings.


One of the key issues for realizing the smart home is how to detect the


locations


of


residents.


Currently,


the


research


effort


is


focused


on


two


approaches:


terminal-based


and


non-terminal-based


methods.


The


terminal -based method employs a type of device that should be carried


智能家居定位系统中英文对照外文翻译文献



by


the


resident


while


the


non- terminal-based


method


requires


no


such


device. This paper presents a novel non-terminal-based approach using an


array


of


pyroelectric


infrared


sensors


(PIR


sensors)


that


can


detect


residents. The feasibility of the system is evaluated experimentally on a


test bed


.



Index Terms




smart home, location-based service, pyroelectric


infrared sensor (PIR sensor), location- recognition algorithm


I. INTRODUCTION


There


is


a


growing


interest


in


smart


home


as


a


way


to


offer


a


convenient,


comfortable,


and


safe


residential


environment


[1],


[2].


In


general, the smart home aims to offer appropriate intelligent services to


actively assist in the re


sident’s life such as housework, amusement, rest,


and


sleep.


Hence,


in


order


to


enhance


the


resident’s


convenience


and


safety,


devices


such


as


home


appliances,


multimedia


appliances,


and


i


n


t


e


r


n


e< /p>


t



a


p


p


l


i


a

< p>
n


c


e


s



s


h


o

u


l


d



b


e



c


o


n


n


e


c


t


e


d



v


i


a



a


home network system, as shown in Fig. 1, and they should be controlled


or monitored remotely using a television (TV) or personal digital assistant


(PDA) [3], [4].



智能家居定位系统中英文对照外文翻译文献




Fig. 1.



Architecture of the home network system for smart home


Especially, attention has been focused on location-based services as a


way


to


offer


high-quality


intelligent


services,


while


considering


human


factors such as pattern of living, health, and feelings of a resident [5]-[7].


That is, if the smart home can recognize the resident’s pattern of living or


health


,


then home


appliances


should be


able


to


anticipate


the resident’s


needs and offer appropriate intelligent service more actively. For example,


in


a


passive


service


environment,


the


resident


controls


the


operation


of


the HVAC (heating, ventilating, and air


conditioning) system, while the


smart


home


would


control


the


temperature


and


humidity


of


a


room


according


to


the


resident’s


condition.


Various


indoor


location


-aware


systems have been developed to recognize the resident’s location in the


smart


home


or


smart


office.


In


general,


indoor


location-aware


systems


have


been


classified


into


three


types


according


to


the


measurement


智能家居定位系统中英文对照外文翻译文献



technology: triangulation, scene analysis, and proximity methods [8]. The


triangulation method uses multiple distances from multiple known points.


Examples include Active Badges [9], Active Bats [10], and Easy Living


[11],


which use


infrared sensors,


ultrasonic


sensors,


and vision


sensors,


respectively.


The


scene


analysis


method


examines


a


view


from


a


particular


vantage


point.


Representative


examples


of


the


scene


analysis


method


are


MotionStar


[12],


which


uses


a


DC


magnetic


tracker,


and


RADAR


[13],


which


uses


IEEE


802.11


wireless


local


area


network


(LAN). Finally, the proximity method measures nearness to a known set


of


points.


An


example


of


the


proximity


method


is


Smart


Floor


[14],


w


h

i


c


h



u


s


e


s


< /p>


p


r


e


s


s


u


r


e

< p>


s


e


n


s


o


r


s

.


Alternatively,


indoor


location-aware


systems


can


be


classified


according to the need for a terminal that should be carried by the resident.


Terminal-based


methods,


such


as


Active


Bats,


do


not


recognize


the


resident’s location directly, but perceive the location of a device carried


by


the


resident,


such


as


an


infrared


transceiver


or


radio


frequency


identification


(RFID)


tag.


Therefore,


it


is


impossible


to


recognize


the


resident’s


location



if


he


or


she


is


not


carrying


the


device.


In


contrast,


non-terminal methods such as Easy Living and Smart Floor can find the


resident’s


location


without


such


devices.


However,


Easy


Living


can


be


regarded


to


invade


the


resident’s


privacy


while


the


Smart


Flo


or


has


d


i


f


f

i


c


u


l


t


y



w


i< /p>


t


h



e


x


t


e


n

< p>
d


i


b


i


l


i


t


y


a


n


d



m


a


i


n


t


e


n


a


n


c


e.


智能家居定位系统中英文对照外文翻译文献



This


paper


presents


a


non- terminal


based


location- aware


system


that


uses an array of pyroelectric infrared (PIR) sensors [15], [16]. The PIR


sensors on the ceiling detect the presence of a resident and are laid out so


that


detection


areas


of


adjacent


sensors


overlap.


By


combining


the


outputs


of


multiple


PIR


sensors,


the


system


is


able


to


locate


a


resident


with a reasonable degree of accuracy. This system has inherent advantage


o


f



n


o


n


-


t


e


r


m

< br>i


n


a


l



b


a


s


e


d



m


e


t


h


o


d


s



w


h


i


l


e


avoiding


privacy


and


extendibility,


maintenance


issues.


In


order


to


demonstrate its efficacy, an experimental test bed has been constructed,


and the proposed system has been evaluated experimentally under various


experimental


conditions.


This


paper


is


organized


into


four


sections,


including this introduction. Section II presents the architecture of the PIR


sensor-based


indoor


location-aware


system


(PILAS),


and


the


location-recognition algorithm. Section III describes a resident-detection


method using PIR sensors, and evaluates the performance of the system


under


various


conditions


using


an


experimental


test


bed.


Finally,


a < /p>


s


u


m


m


a


r


y



a


n


d



t


h


e


conclusions are presented in Section IV.


II. ARCHITECTURE OF THE PIR SENSOR- BASED


INDOOR


LOCATION-AWARE SYSTEM


智能家居定位系统中英文对照外文翻译文献



A. Framework of the smart home


Given


the


indoor


environment


of


the


smart


home,


an


indoor


location-aware system must satisfy the following requirements. First, the


l


o


c


a


t

< p>
i


o


n


-


a


w


a


r

e



s


y


s


t


e


m


< /p>


s


h


o


u


l


d



b


e



i


m


p


l


e


m


e


n


t


e


d



a


t



a


relatively low cost because many sensors have to be installed in rooms of


different


sizes


to


detect


the


resident


in


the


smart


home.


Second,


sensor


installation must be flexible because the shape of each room is different


and


there


are


obstacles


such


as


home


appliances


and


furniture,


which


prevent the normal operation of sensors. The third requirement is that the


sensors


for


the


location-aware


system


have


to


be


robust


to


noise,


and


should


not


be


affected


by


their


surroundings.


This


is because


the


smart


home can make use of various wireless communication methods such as


wireless


LAN


or


radio-frequency


(RF)


systems,


which


produce


electromagnetic


noise,


or


there


may


be


significant


changes


in


light


or


temperature


that


can


affect


sensor


performance.


Finally,


it


is


desirable


that the system’s accuracy is adju


stable according to room types.


Among


many


systems


that


satisfy


the


requirement,


the


PIR


sensor-based


system


has


not


attracted


much


attention


even


though


the


system has several advantages. The PIR sensors,which have been used to


turn on a light when it detects human movement, are less expensive than


many other sensors. In addition, because PIR sensors detect the infrared


wavelengthemitted


from


humans


between


9.4~10.4


μm,


they


are

-


-


-


-


-


-


-


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