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红外传感器中英文对照外文翻译文献

红外传感器中英文对照外文翻译文献
红外传感器中英文对照外文翻译文献

中英文对照翻译

外文资料

Moving Object Counting with an Infrared Sensor Network

Abstract

Wireless Sensor Network (WSN) has become a hot research topic recently. Great benefit can be gained through the deployment of the WSN over a wide range of

applications, covering the domains of commercial, military as well as residential. In this project, we design a counting system which tracks people who pass through a detecting zone as well as the corresponding moving directions. Such a system can be deployed in traffic control, resource management, and human flow control. Our design is based on our self-made cost-effective Infrared Sensing Module board which co-operates with a WSN. The design of our system includes Infrared Sensing Module design, sensor clustering, node communication, system architecture and deployment. We conduct a series of experiments to evaluate the system performance which demonstrates the efficiency of our Moving Object Counting system.

Keywords:

Infrared radiation,Wireless Sensor Node

1.1 Introduction to Infrared

Infrared radiation is a part of the electromagnetic radiation with a wavelength lying between visible light and radio waves. Infrared have be widely used nowadays

including data communications, night vision, object tracking and so on. People commonly use infrared in data communication, since it is easily generated and only suffers little from electromagnetic interference. Take the TV remote control as an example, which can be found in everyone's home. The infrared remote control systems use infrared light-emitting diodes (LEDs) to send out an IR (infrared) signal when the button is pushed. A different pattern of pulses indicates the corresponding button being pushed. To allow the control of multiple appliances such as a TV, VCR, and cable box, without interference, systems generally have a preamble and an address to synchronize the receiver and identify the source and location of the infrared signal. To encode the data, systems generally vary the width of the pulses (pulse-width modulation) or the width of the spaces between the pulses (pulse space modulation). Another popular system, bi-phase encoding, uses signal transitions to convey information. Each pulse is actually a burst of IR at the carrier frequency.

A 'high' means a burst of IR energy at the carrier frequency and a 'low' represents an absence of IR energy. There is no encoding standard.

However, while a great many home entertainment devices use their own proprietary encoding schemes, some quasi-standards do exist. These include RC-5, RC-6, and REC-80. In addition, many manufacturers, such as NEC, have also established their own standards.

Wireless Sensor Network (WSN) has become a hot research topic recently. Great benefit can be gained through the deployment of the WSN over a wide range of

applications, covering the domains of commercial, military as well as residential. In this project, we design a counting system which tracks people who pass through a detecting zone as well as the corresponding moving directions. Such a system can be deployed in traffic control, resource management, and human flow control. Our design is based on our self-made cost-effective Infrared Sensing Module board which co-operates with a WSN. The design of our system includes Infrared Sensing Module design, sensor clustering, node communication, system architecture and deployment. We conduct a series of experiments to evaluate the system performance which demonstrates the efficiency of our Moving Object Counting system.

1.2 Wireless sensor network

Wireless sensor network (WSN) is a wireless network which consists of a vast number of autonomous sensor nodes using sensors to monitor physical or environmental conditions, such as temperature,

acoustics, vibration, pressure, motion or pollutants, at different locations. Each node in a sensor network is typically equipped with a wireless communications device, a small microcontroller, one or more sensors, and an energy source, usually a battery. The size of a single sensor node can be as large as a shoebox and can be as small as the size of a grain of dust, depending on different applications. The cost of sensor nodes is similarly variable, ranging from hundreds of dollars to a few cents, depending on the size of the sensor network and the complexity requirement of the individual sensor nodes. The size and cost are constrained by sensor nodes, therefore, have result in corresponding limitations on available inputs such as energy, memory, computational speed and bandwidth. The development of wireless sensor networks (WSN) was originally motivated by military applications such as battlefield surveillance. Due to the advancement in micro-electronic mechanical system technology (MEMS), embedded microprocessors, and wireless networking, the WSN can be benefited in many civilian application areas, including habitat monitoring, healthcare applications, and home automation.

1.3 Types of Wireless Sensor Networks

Wireless sensor network nodes are typically less complex than general-purpose operating systems both because of the special requirements of sensor network applications and the resource constraints

in sensor network hardware platforms. The operating system does not need to include support for user interfaces. Furthermore, the resource constraints in terms of memory and memory mapping hardware support make mechanisms such as virtual memory either unnecessary or impossible to implement. TinyOS [TinyOS] is possibly the first operating system specifically designed for wireless sensor networks. Unlike most other operating systems, TinyOS is based on an event-driven programming model instead of multithreading. TinyOS programs are composed into event handlers and tasks with run to completion-semantics. When an external event occurs, such as an incoming data packet or a sensor reading, TinyOS calls the appropriate event handler to handle the event. The TinyOS system and programs are both written in a special programming language called nesC [nesC] which is an extension to the C programming language. NesC is designed to detect race conditions between tasks and event handlers. There are also operating systems that allow programming in C. Examples of such operating systems include Contiki [Contiki], and MANTIS. Contiki is designed to support loading modules over the network and supports run-time loading of standard ELF files. The Contiki kernel is event-driven, like TinyOS, but the system supports multithreading on a per-application basis. Unlike the event-driven Contiki kernel, the MANTIS kernel is based on preemptive multithreading. With preemptive multithreading, applications do not need

to explicitly yield the microprocessor to other processes.

1.4 Introduction to Wireless Sensor Node

A sensor node, also known as a mote, is a node in a wireless sensor network that is capable of performing processing, gathering sensory information and communicating with other connected nodes in the network. Sensor node should be in small size, consuming extremely low energy, autonomous and operate unattended, and adaptive to the environment. As wireless sensor nodes are micro-electronic sensor device, they can only be equipped with a limited power source. The main components of a sensor node include sensors, microcontroller, transceiver, and power source. Sensors are hardware devices that can produce measurable response to a change in a physical condition such as light density and sound density. The continuous analog signal collected by the sensors is digitized by Analog-to-Digital converter. The digitized signal is then passed to controllers for further processing. Most of the theoretical work on WSNs considers Passive and Omni directional sensors. Passive and Omni directional sensors sense the data without actually manipulating the environment with active probing, while no notion of “direction” involved in these measurements. Commonly people deploy sensor for detecting heat (e.g. thermal sensor), light (e.g. infrared sensor), ultra sound (e.g. ultrasonic sensor), or electromagnetism (e.g. magnetic sensor). In practice, a sensor node can equip with more than one sensor.

Microcontroller performs tasks, processes data and controls the operations of other components in the sensor node. The sensor node is responsible for the signal processing upon the detection of the physical events as needed or on demand. It handles the interruption from the transceiver. In addition, it deals with the internal behavior, such as application-specific computation.

The function of both transmitter and receiver are combined into a single device know as transceivers that are used in sensor nodes. Transceivers allow a sensor node to exchange information between the neighboring sensors and the sink node (a central receiver). The operational states of a transceiver are Transmit, Receive, Idle and Sleep. Power is stored either in the batteries or the capacitors. Batteries are the main source of power supply for the sensor nodes. Two types of batteries used are chargeable and non-rechargeable. They are also classified according to electrochemical material used for electrode such as NiCd(nickel-cadmium), NiZn(nickel-zinc), Nimh(nickel metal hydride), and Lithium-Ion. Current sensors are developed which are able to renew their energy from solar to vibration energy. Two major power saving policies used are

Dynamic Power Management (DPM) and Dynamic V oltage Scaling (DVS). DPM takes care of shutting down parts of sensor node which are not currently used or active. DVS scheme varies the power levels

depending on the non-deterministic workload. By varying the voltage along with the frequency, it is possible to obtain quadratic reduction in power consumption.

1.5 Challenges

The major challenges in the design and implementation of the wireless sensor network are mainly the energy limitation, hardware limitation and the area of coverage. Energy is the scarcest resource of WSN nodes, and it determines the lifetime of WSNs. WSNs are meant to be deployed in large numbers in various environments, including remote and hostile regions, with ad-hoc communications as key. For this reason, algorithms and protocols need to be lifetime maximization, robustness and fault tolerance and self-configuration. The challenge in hardware is to produce low cost and tiny sensor nodes. With respect to these objectives, current sensor nodes usually have limited computational capability and memory space. Consequently, the application software and algorithms in WSN should be well-optimized and condensed. In order to maximize the coverage area with a high stability and robustness of each signal node, multi-hop communication with low power consumption is preferred. Furthermore, to deal with the large network size, the designed protocol for a large scale WSN must be distributed.

1.6 Research Issues

Researchers are interested in various areas of wireless sensor

network, which include the design, implementation, and operation. These include hardware, software and middleware, which means primitives between the software and the hardware. As the WSNs are generally deployed in the resources-constrained environments with battery operated node, the researchers are mainly focus on the issues of energy optimization, coverage areas improvement, errors reduction, sensor network application, data security, sensor node mobility, and data packet routing algorithm among the sensors. In literature, a large group of researchers devoted a great amount of effort in the WSN. They focused in various areas, including physical property, sensor training, security through intelligent node cooperation, medium access, sensor coverage with random and deterministic placement, object locating and tracking, sensor location determination, addressing, energy efficient broadcasting and active scheduling, energy conserved routing, connectivity, data dissemination and gathering, sensor centric quality of routing, topology control and maintenance, etc.

中文译文

移动目标点数与红外传感器网络

摘要

无线传感器网络(WSN)已成为最近的一个研究热点。伟大的效益通过部署的无线传感器网络在大范围的应用的领域,覆盖了商业、军事以及住宅。在这个项目,我们设计了一个计数系统,以追踪那些经过检测区以及相应的移动方向。这样的一个系统部署在交通控制、资源管理和人力的流量控制。我们的设计是基于我们的自制划算的红外传感模块板用无线传感器网络的联系。我们的系统的设计包括红外传感模块设计、传感器节点通讯、系统聚类、建筑和部署。我们进行了一系列的实验来评估系统的性能论证了高效率的移动对象计数系统。关键词:红外辐射,无线传感器节点

1.1介绍红外

红外辐射,是一个部分的电磁辐射与波长在撒谎可见光与无线电波之间。现在已经被广泛应用红外线包括数据通讯、夜视装置,物件追踪等等。人们通常使用红外数据通信中,由于它是容易产生和只有受电磁干扰少。把电视遥控器控制作为一种例子,可以发现在每个人的家里。红外遥控系统利用红外发光二极管(led)散发出红外(红外线)讯号按钮推后。不同模式显示相应的按钮的脉冲的存在推。允许

控制多种电器比如电视机、录像机、有线电视盒,不受干扰,系统通常有序言和一个地址进行同步识别来源的接收机的位置和红外信号。编码的数据,系统通常不同脉冲的宽度(脉宽调制)或宽度之间的间隔空间调制脉冲(脉冲)。另一种受欢迎的系统、双相编码,利用信号转换来传递信息。每次脉冲是其实一阵红外在载波频率。“高”的含义是一阵红外能量载波频率和一个“低”体现了一种不在红外能量。没有编码标准。然而,当许多家庭娱乐设备使用他们自己的一些quasi-standards专有的编码系统确实存在。这些包括RC-5、RC -(六)、REC-80。此外,许多汽车制造商,如NEC、也成立他们自己的标准。

无线传感器网络(WSN)已成为最近的一个研究热点。伟大的效益通过部署的无线传感器网络在大范围的应用的领域,覆盖了商业、军事以及住宅。在这个项目,我们设计了一个计数系统,以追踪那些经过检测区以及相应的移动方向。这样的一个系统部署在交通控制、资源管理和人力的流量控制。我们的设计是基于我们的自制划算的红外传感模块板用无线传感器网络的联系。我们的系统的设计包括红外传感模块设计、传感器节点通讯、系统聚类、建筑和部署。我们进行了一系列的实验来评估系统的性能论证了高效率的移动对象计数系统。1.2无线传感器网络

无线传感器网络(WSN)是一种无线网络是由大量不同传感器节点的自主使用传感器监测物理或环境条件,如温度、音响、振动、压力、运动或污染物,其代价就是寿命不同的地点。在传感器网络中每个节

中英文参考文献格式

中文参考文献格式 参考文献(即引文出处)的类型以单字母方式标识: M——专著,C——论文集,N——报纸文章,J——期刊文章,D——学位论文,R——报告,S——标准,P——专利;对于不属于上述的文献类型,采用字母“Z”标识。 参考文献一律置于文末。其格式为: (一)专著 示例 [1] 张志建.严复思想研究[M]. 桂林:广西师范大学出版社,1989. [2] 马克思恩格斯全集:第1卷[M]. 北京:人民出版社,1956. [3] [英]蔼理士.性心理学[M]. 潘光旦译注.北京:商务印书馆,1997. (二)论文集 示例 [1] 伍蠡甫.西方文论选[C]. 上海:上海译文出版社,1979. [2] 别林斯基.论俄国中篇小说和果戈里君的中篇小说[A]. 伍蠡甫.西方文论选:下册[C]. 上海:上海译文出版社,1979. 凡引专著的页码,加圆括号置于文中序号之后。 (三)报纸文章 示例 [1] 李大伦.经济全球化的重要性[N]. 光明日报,1998-12-27,(3) (四)期刊文章 示例 [1] 郭英德.元明文学史观散论[J]. 北京师范大学学报(社会科学版),1995(3). (五)学位论文 示例 [1] 刘伟.汉字不同视觉识别方式的理论和实证研究[D]. 北京:北京师范大学心理系,1998. (六)报告 示例 [1] 白秀水,刘敢,任保平. 西安金融、人才、技术三大要素市场培育与发展研究[R]. 西安:陕西师范大学西北经济发展研究中心,1998. (七)、对论文正文中某一特定内容的进一步解释或补充说明性的注释,置于本页地脚,前面用圈码标识。 参考文献的类型 根据GB3469-83《文献类型与文献载体代码》规定,以单字母标识: M——专著(含古籍中的史、志论著) C——论文集 N——报纸文章 J——期刊文章 D——学位论文 R——研究报告 S——标准 P——专利 A——专著、论文集中的析出文献 Z——其他未说明的文献类型 电子文献类型以双字母作为标识: DB——数据库 CP——计算机程序 EB——电子公告

中英文论文对照格式

英文论文APA格式 英文论文一些格式要求与国内期刊有所不同。从学术的角度讲,它更加严谨和科学,并且方便电子系统检索和存档。 版面格式

表格 表格的题目格式与正文相同,靠左边,位于表格的上部。题目前加Table后跟数字,表示此文的第几个表格。 表格主体居中,边框粗细采用0.5磅;表格内文字采用Times New Roman,10磅。 举例: Table 1. The capitals, assets and revenue in listed banks

图表和图片 图表和图片的题目格式与正文相同,位于图表和图片的下部。题目前加Figure 后跟数字,表示此文的第几个图表。图表及题目都居中。只允许使用黑白图片和表格。 举例: Figure 1. The Trend of Economic Development 注:Figure与Table都不要缩写。 引用格式与参考文献 1. 在论文中的引用采取插入作者、年份和页数方式,如"Doe (2001, p.10) reported that …" or "This在论文中的引用采取作者和年份插入方式,如"Doe (2001, p.10) reported that …" or "This problem has been studied previously (Smith, 1958, pp.20-25)。文中插入的引用应该与文末参考文献相对应。 举例:Frankly speaking, it is just a simulating one made by the government, or a fake competition, directly speaking. (Gao, 2003, p.220). 2. 在文末参考文献中,姓前名后,姓与名之间以逗号分隔;如有两个作者,以and连接;如有三个或三个以上作者,前面的作者以逗号分隔,最后一个作者以and连接。 3. 参考文献中各项目以“点”分隔,最后以“点”结束。 4. 文末参考文献请按照以下格式:

中英文论文参考文献标准格式 超详细

超详细中英文论文参考文献标准格式 1、参考文献和注释。按论文中所引用文献或注释编号的顺序列在论文正文之后,参考文献之前。图表或数据必须注明来源和出处。 (参考文献是期刊时,书写格式为: [编号]、作者、文章题目、期刊名(外文可缩写)、年份、卷号、期数、页码。参考文献是图书时,书写格式为: [编号]、作者、书名、出版单位、年份、版次、页码。) 2、附录。包括放在正文内过份冗长的公式推导,以备他人阅读方便所需的辅助性数学工具、重复性数据图表、论文使用的符号意义、单位缩写、程序全文及有关说明等。 参考文献(即引文出处)的类型以单字母方式标识,具体如下: [M]--专著,著作 [C]--论文集(一般指会议发表的论文续集,及一些专题论文集,如《***大学研究生学术论文集》[N]-- 报纸文章 [J]--期刊文章:发表在期刊上的论文,尽管有时我们看到的是从网上下载的(如知网),但它也是发表在期刊上的,你看到的电子期刊仅是其电子版 [D]--学位论文:不区分硕士还是博士论文 [R]--报告:一般在标题中会有"关于****的报告"字样 [S]-- 标准 [P]--专利 [A]--文章:很少用,主要是不属于以上类型的文章 [Z]--对于不属于上述的文献类型,可用字母"Z"标识,但这种情况非常少见 常用的电子文献及载体类型标识: [DB/OL] --联机网上数据(database online) [DB/MT] --磁带数据库(database on magnetic tape) [M/CD] --光盘图书(monograph on CDROM) [CP/DK] --磁盘软件(computer program on disk) [J/OL] --网上期刊(serial online) [EB/OL] --网上电子公告(electronic bulletin board online) 很显然,标识的就是该资源的英文缩写,/前面表示类型,/后面表示资源的载体,如OL表示在线资源 二、参考文献的格式及举例 1.期刊类 【格式】[序号]作者.篇名[J].刊名,出版年份,卷号(期号)起止页码. 【举例】 [1] 周融,任志国,杨尚雷,厉星星.对新形势下毕业设计管理工作的思考与实践[J].电气电子教学学报,2003(6):107-109. [2] 夏鲁惠.高等学校毕业设计(论文)教学情况调研报告[J].高等理科教育,2004(1):46-52. [3] Heider, E.R.& D.C.Oliver. The structure of color space in naming and memory of two languages [J]. Foreign Language Teaching and Research, 1999, (3): 62 67. 2.专著类

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中英文参考文献格式

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