Intelligent Industry Monitoring Network Architecture UPnP Based

Aiming at poor self-adapting performance of Industry monitoring network （IMN） based on server/client mode, an intelligent IMN architecture realization method based on Universal plug and play （UPnP） was put forward. According to field distribution condition and running characteristics of industrial devices, topological IMN model centralized UPnP was established. Combining embedded system technology, monitoring information interaction mechanism was designed using signal communication method, and intelligent management for IMN was realized by the key data structures of Parameter configuration table （PCT） and Control device node （CDN）. Industrial experiments prove that this method can realize the anticipated functions of seamless link, zero-configuration and self-recognition.     

Peak Power Minimizing Algorithm by Voltage Scheduling

For complicated electronic systems, to ensure high performance and reliability satisfaction, minimizing peak power consumption becomes one of the most important design goals. This paper addresses the problem of variable voltage scheduling on multlprocessor distributed systems, with the goal of shaping the power profile to minimizing peak power. A low peak power algorithm named LPPA is proposed to optimize power distribution via scaling voltage of the tasks on critical regions, based on the comprehensive analysis of how power consumption varies with latency. Compared with previous low peak power techniques, which simply scale voltage of tasks according to their timing critical degree, LPPA additionally take the power profile into count to further decrease the peak power. Experimental results show that the proposed voltage scheduling technique significantly improves the power characteristics over the existing power profile unaware scheduling technique. Meanwhile, energy consumption reduction is also obtained.     

Hybrid System for Robust Faces Detection

The automatic detection of faces is a very important problem. The effectiveness of biometric authentication based on face mainly depends on the method used to locate the face in the image. This paper presents a hybrid system for faces detection in unconstrained cases in which the illumination, pose, occlusion, and size of the face are uncontrolled. To do this, the new method of detection proposed in this paper is based primarily on a technique of automatic learning by using the decision of three neural networks, a technique of energy compaction by using the discrete cosine transform, and a technique of segmentation by the color of human skin. A whole of pictures （faces and no faces） are transformed to vectors of data which will be used for learning the neural networks to separate between the two classes. Discrete cosine transform is used to reduce the dimension of the vectors, to eliminate the redundancies of information, and to store only the useful information in a minimum number of coefficients while the segmentation is used to reduce the space of research in the image. The experimental results have shown that this hybridization of methods will give a very significant improvement of the rate of the recognition, quality of detection, and the time of execution.     

Energy-Aware Scheduling of Parallel Application in Hybrid Computing System

Energy management is emerging as an important issue for High performance computing （HPC） owning to high operational cost and low reliability. Compared with low-power architectural approach, energyaware scheduling based on Dynamic voltage scaling （DVS） and Dynamic power management （DPM） is regarded as a promising way since it is practical and low-cost. At present, most studies focus on pure DVS or non-DVS environment, while most high performance computing systems are hybrid non-DVS/DVS platforms. We propose an energyaware scheduling algorithm for parallel application to consider both DVS and non-DVS characteristics of hybrid system. We present the rule of task assignment, make analysis on DVS and DPM technique and give their mathematical formulation, which maintains makespan optimization and energy conservation. The clustering and merging algorithm, and priority computation method consider the situation of resource constraints. The extensive simulations demonstrate that the proposed algorithm has stronger ability of energy saving and time optimization than Heterogeneous earliest finish time （HEFT）. Energy-efficient task duplication scheduling （EETDS） and Heterogeneous energy-aware duplication scheduling （HEADUS） algorithm no matter for synthetic workload or realistic workload.     

A Novel Event Model for Performance Analysis of IEEE 802.11 DCF

After considering the memory effect among series events occurring on the channel, we propose a novel event model to analyze the channel status more precisely. The memory effect is caused by the backoff freezing regulation of IEEE 802.11 Distributed coordination function （DCF）, which has been ignored before and thus resulted in the inaccurate evaluation of the network performance. Based on our new event model, the network performance of IEEE 802.11 DCF, including throughput, packet delay distribution and energy efficiency is analyzed. Simulation results show that our model is highly accurate.     

Quantized Phase Step Technique Based on Different Frequency Signals and Its Characteristics

Through theoretical analysis and experiments, we discovered the quantized phase step technique existing in two cyclical movements, and the variation law of phase difference between two different frequency signals. This discovery is a major breakthrough in the traditional phase processing for researching frequency signals or cyclical movements that widely exist in nature. It has realized direct phase comparison between any signals without frequency normalization. Experimental results show that the resolution with femtosecond （fs） can be easily achieved in frequency measurement, frequency standard comparison and control on the basis of the quantized phase step characteristics. This important discovery can be widely used in navigation positioning, space technique, communication, radar, astronomy, atomic frequency standard and so on.     

Low-Power Design of Ethernet Data Transmission

For the reliability and power consumption issues of Ethernet data transmission based on the field programmable gate array （FPGA）, a low-power consumption design method is proposed, which is suitable for FPGA implementation. To reduce the dynamic power consumption of integrated circuit （IC） design, the proposed method adopts the dynamic control of the clock frequency. For most of the time, when the port is in the idle state or lower-rate state, users can reduce or even turn off the reading clock frequency and reduce the clock flip frequency in order to reduce the dynamic power consumption. When the receiving rate is high, the reading clock frequency will be improved timely to ensure that no data will lost. Simulated and verified by Modelsim, the proposed method can dynamically control the clock frequency, including the dynamic switching of high-speed and low-speed clock flip rates, or stop of the clock flip.     

Interference Coordination for Secrecy Enhancement in Random Wireless Networks

The co-channel interference modeling is vital for evaluating the secrecy performance in random wireless networks,where the legitimate nodes and eavesdroppers are randomly distributed.In this paper,a new interference model is proposed from the userdominant perspective.The model can provide a better analytical assessment of secrecy performance with interference coordination for the presence of eavesdroppers.The typical legitimate is assumed to be located at the origin,and chooses the closest base station（BS） as its serving BS.The field of interferers is obtained by excluding the desired BSs（including the serving BS and its cooperative BS（s））.In contract with the exiting interference model,it is assumed that desired BSs and interferers belong to the same Poisson Point Process（PPP）,and eavesdroppers are distributed according to another independent PPP.Based on this model,the average secrecy transmission capacity is derived in simply analytical forms with interference coordination.Analysis and simulation results show that the secrecy performance can be significantly enhanced by exploiting interference coordination.Furthermore,the average secrecy transmission capacity increases with increasing number of cooperative BSs.     

Analysis of Power Consumption on Laser Solder Joints of Electric Connector

Laser soldering process was introduced in Universal serial bus （USB） 2.0 electric connector to improve the mechanical and electrical bonding reliabil- ity. While, the effects of laser soldering technology on electric connector solder joints need to be estimated com- pletely, especially on power consumption. The combined method based on numerical simulation and the Accelerated temperature experiment （ATE） was developed to analyze the power consumption of USB 2.0 electric connector in this paper. The ATE contains thermal cycle and thermal shock tests, and the four-electrode method is used to ob- tain the conductivity of solder joints. Numerical modeling and analysis was used to quantify the power consumption and optimize the geometry of solder joints, because the electric experimental measurements of power consumption during ATE are time-costing and often intractable. Accurate knowledge of the power consumption is a prerequisite for the reliability of the electric connector.     

An Enhanced IRC Algorithm for LTE Downlink Receiver in Multi-cell Environment

This paper proposes an enhanced Interfer- ence rejection combining （IRC） algorithm for Long term evolution （LTE） downlink receiver in multi-cell communi= cation systems. In this algorithm, a proper Multiple input multiple output （MIMO） receive method is adopted ac- cording to Generalized likelihood ratio test （GLRT） inter- cell interference detection. Iteration between channel es- timation and data detection is carried out to improve the performance of IRC algorithm. Simulation results show that this proposed algorithm can ei~ectively detect inter- cell interference and improve Block error rate （BLER） performance and channel estimation Mean squared error （MSE） compared to non-iterative IRC algorithm, making it suitable for LTE downlink receiver in multi-cell cellular systems.     

电磁环境监测系统分析与设计

电磁环境监测系统是复杂电磁环境构设系统的重要组成部分,主要用于监测各种通信和雷达信号,对信号进行测量,获取信号的特征参数。监测结果可为训练效果评估、动态调整电磁环境提供数据支持。介绍了电磁环境监测系统设计时监测站部署原理,监测距离、监测灵敏度和测向精度的估算方法,给出了系统的详细设计方案,包括体系框架设计和各功能子系统的实现方法,并对系统的应用性和效果进行了分析。     

Development of Wi-Fi Based Home Energy Monitoring System for Green Internet of Things

Green Internet of things (IoT) has been heralded as the next big thing waiting to be realized in energy-efficient ubiquitous computing. Green IoT revolves around increased machine-to-machine communications and encompasses energy-efficient wireless embedded sensors and actuators that assist in monitoring and controlling home appliances. Energy efficiency in home applications can be achieved by better monitoring of the specific energy consumption by the appliances. There are many wireless standards that can be adopted for the design of such embedded devices in IoT. These communication technologies cater to different requirements and are classified as the short-range and long-range ones. To select the best communication method, this paper surveys various IoT communication technologies and discusses the advantages and disadvantages to develop an energy monitoring system. An IoT device based on the Wi-Fi technology system is developed and tested for usage in the home energy monitoring environment. The performance of this system is then evaluated by the measurement of power consumption metrics. In the efficient deep-sleep mode, the system saves up to 0.3 W per cycle with an average power dissipation of less than 0.1 W/s.     

Nonintrusive appliance load monitoring

A nonintrusive appliance load monitor that determines the energy consumption of individual appliances turning on and off in an electric load, based on detailed analysis of the current and voltage of the total load, as measured at the interface to the power source is described. The theory and current practice of nonintrusive appliance load monitoring are discussed, including goals, applications, load models, appliance signatures, algorithms, prototypes field-test results, current research directions, and the advantages and disadvantages of this approach relative to intrusive monitoring     

Multi-parameter real-time monitoring scheme for power transmission lines based on FBG sensors

A multi-parameter real-time monitoring scheme for power transmission line is proposed and experimentally demonstrated. The Fiber Bragg Grating （FBG） sensors are used to sensing the information of temperature and strain in the power transmission lines system, and a monitoring center based on client-server model is established to process and display the sensing information. Several FBG-based power transmission line temperature sensors interrogated based on the developed multi-parameter real-time monitoring scheme is experimentally investigated. The result shows that the system is very useful.     

基于CC2530的Zigbee2007/PRO协议的无线温湿度系统设计

设计了一种基于CC2530的Zigbee2007/PRO协议无线温湿度监控系统,以网状网的组网方式有效解决现在市场上的各种问题,如检测系统监控范围小,监测节点数少等缺陷。该系统还具有自组织及自修复网络的能力,在受干扰后可以动态切换到另一个信道工作。测试表明本系统能够实现对多个分散位置同时进行温湿度测试,并具备实时监控功能,不仅接收数据的准确率高,而且功耗低,具有很强的实用价值。     

An Intercommunication Home Energy Management System with Appliance Recognition in Home Network

In present days there are wide varieties of household electric appliances along with different power consumption habits of consumers, making identifying electric appliances without presetting difficulty. This paper introduces smart appliance management system to recognize electric appliances in home networks, which uses sensing devices that measure current to calculate the power consumption of the appliances. The system will set the characteristics and categories of each electric appliance, and then uses the classifications of the electronic energy features in order to recognize different appliances. The system searches the cluster data while eliminating noise for recognition functionality and error detection mechanism or the electric appliances using the current clustering algorithm. Afterwards the recognition are used to build a control list of appliances on the platform to provide appliance intercommunication. Simultaneously, the household appliance automatic control services are integrated by the system to control appliances based on userspower consumption plans to realize a bidirectional monitoring services. In actual experiments, the proposed system achieves a recognition rate or 95% as well as successfully controls general household electric appliances in home network.     

基于双层服务的WSN配电网在线监测系统

提出了基于双层服务的WSN智能配电网在线监测系统,以解决有线通信方式在线监测系统中电源电缆和通信电缆铺设困难的问题。在该系统中,以面向服务的思想,构建了双层服务结构和数据访问接口,并描述了服务的发布和建立。与基于层次结构的WSN网络协议架构相比,文中所提出的面向服务的通信体系结构实现简单、服务效率高,并且该结构还有利于降低节点能耗,有效提高网络服务质量。     

基于ZigBee的油井载荷监测系统设计

阐明了在油井作业过程中油杆载荷测量的必要性,并针对一般油田地区环境的特殊性,提出了采用基于ZigBee技术的无线监控系统,既解决了复杂的现场布线、地理环境干扰、组网困难、扩展性差等问题,又实现了低功耗、低成本的远程无线监控,这对油井抽油杆的故障判断和油田的高效生产管理有着重要意义。     

基于频谱监测数据的联合时差定位方法

在分析电磁频谱监测网辐射源定位需求和现有时差定位算法特点的基础上,介绍了联合时差定位流程。对Chan算法定位、Chan算法与Taylo级数展开相结合的联合定位及粒子滤波对定位的改善情况进行了分析和仿真,并对仿真结果进行了比较。提出了一种基于频谱监测数据、采用Chan-Taylor算法和粒子滤波的联合定位方法,可有效利用电磁频谱监测网络各节点的监测定位数据,提高对目标信号的定位精度。     

基于Cortex-M3微处理器的智能家居监控终端的设计

在分析智能家居系统的组成和结构的基础上,提出了通过Internet网络对家用电器和安防设备进行远程监控的方法.给出了基于Cortex-M3微处理器的智能家居控制终端的硬件设计方案和实现方法,介绍了控制终端软件实现的原理和流程.本系统还专门设计了一款内嵌Zigbee模块的PDA方便用户在室内对家用电器进行控制.该系统结构...