A prototype of video detection system applied to traffic flow inspection is developed,which uses CMOS linear image sensor with high resolution 2K pixels and wide dynamic range as the core of imaging device.It combines FPGA with DSP as the core of acquisition and processing of massive image data.Moreover,a novel multiscale and hierarchical clustering algorithm for image segmentation is presented.Based on the theory of graph spectral,the algorithm can construct a new graph by analyzing the feature of an original image at different clustering scales,so that image (gmentation) can be accomplished easily to segment the image.The simulation results show that the (scan) speed of this system can reach to 1000 lines per second,the resolution being 2048 pixels.

关键词：视频检测;CMOS图像传感器线;DSP;分层聚类;多尺度

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The existing wired monitoring systems for edible fungus cultivation has some shortcomings such as complex wiring,unsatisfied function,low automatic level and so on.This paper developed a composite environment monitoring system for edible fungus cultivation based on wireless sensor network with ZigBee technology.Through a star wireless sensor network topology,this system acquired the temperature and humidity of cultivation environment,as well as thegrowing image of edible fungus.Meanwhile,according to the growing nature of edible fungus,a control strategy for cultivation environment was developed and integrated in the system.The proposed composite environment monitoring system provided a good solution for edible fungus cultivation industry.

关键词：无线个域网技术；食用菌栽培；监测系统

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Gaps in real-time and archived traffic data are common and can be attributed to several factors, such as sensor failures and data communications interruptions. Regardless of the cause of the missing data, these gaps often must be filled with reliable and accurate estimates before the data can be used for planning, operations, or congestion-mitigation purposes. This research compared different methods for imputing missing values in video detection system data, including historical averages, simple linear regression, multiple linear regression, spatial averages, and Newell's simplified kinematic wave model. The study used the fundamental relationship between speed and flow in filtering the data for quality control. A sensitivity analysis tested the response of different methods to factors such as the size of training data set and time-of-day adjustments to the algorithms. The results indicated that the time of day and volume adjustment factors had a nontrivial impact on the accuracy of the outputs. Despite significant errors in the base data set, the Newell algorithm performed on a par with the other methods in terms of bias and mean absolute percentage, but the more simple factoring methods provided comparable results and were easier to implement.

关键词：信息系统；智能交通；数据监测；多元线性回归；建模

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In order to obtain the availability of roads and bridges after earthquake,a real-time monitoring system is build by wireless sensor networks.And a new key management scheme is proposed to protect the safety of the system.The scheme is based on the polynomial and the Chinese Remainder Theorem,divided into three stages which are system initialization,key establishment,node join and revocation.Analysis shows that the new scheme greatly reduces the storage space and the energy consumption of calculation and communication of node.It is suitable for post-disaster road monitoring system.

关键词：传感器网络；密钥管理方案；灾后道路；监测系统

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ECRPW (energy-efficient clustering routing protocol based on weight) routing protocol is presented to avoid the characteristic of limited energy for wireless sensor networks.It takes nodes' residual energy into consideration during the process of cluster heads being elected.The constraint of distance threshold is used to optimize cluster scheme.Furthermore,it also sets up the routing tree based on cluster heads' weight.We simulate and analyze LEACH and ECRPW in NS2.The results show that the performance of ECRPW is better than LEACH.

关键词：无线传感器网络;聚类;路由协议

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By force analysis of load limiter,the nonlinear relation between the load and the force of sensor in indirect measurement of tower crane load is indicated.Using the force of sensor as input and the load as output,the nonlinear correction model based on functional link neural network (FLNN) is proposed to eliminate the nonlinear errors of load measurement.By adding some high-order terms,the model uses the single-layer network to realize the network supervised learning.The approach can improve network learning speed and simplify the network structure,and provides a new way for On-line measurement of tower crane load.The system realization and network simulation about tower crane QTZ63 are presented,Practical application shows that the maximum relative error of measured load is less than 2.1％ and can satisfy National standard GB5144-94.

关键词：塔式起重机载荷;功能链接神经网络;在线监测系统;非线性校正

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In order to provide the environment for the growth of a crop monitoring program,design a monitoring system.In accordance with three-tier structure of the Internet of Things,the structure of system is built by the way of using aware interactive layer,network transport layer,application service layer.By using Things technology the function of monitoring and controlling the agricultural greenhouse air temperature and humidity,light intensity and other environmental data is implemented.The data that sensors have collected is processed by Bayes filtering and sent to the monitoring terminal platform to display.The simulation results show that reliability of data through the Bayes filtering is enhanced.By making the MATLAB software simulation experiment the results show that the system is running well,the communication is normal,and after the filtering process the monitoring data curve is smoother,reducing data errors.

关键词：物联网技术;无线通信;无线个域网;传感器技术;贝叶斯过滤器

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关键词：中国电信；智慧家庭新品；家庭信息化

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关键词：中国电信；天翼阅读；战略投资

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本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车

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