三相电机电流检测系统的设计及实现

为了方便对分布在各处的三相电机工作电流的相位进行检测,文章设计了一种分布式体系结构的电机检测系统。系统包括上位机和下位机2个部分。上位机程序采用Delphi语言编写,通过上位机向各个下位机发送命令,同时收集下位机发送来的数据并储存。下位机设备是以LPC2013微控制器为核心的数据采集设备,其软件部分以RT-Thread实时操作系统为基础进行设计,实现与上位机的通信、数据采集,得到电机工作电流和相位差。上位机与下位机设备的通信基于CAN总线。     

基于VB6.0的港口运料系统设计

针对港口货船的焦炭称量问题,设计基于Visual Basic6.0的港口运料系统。上位机通过RS 232串口发出控制命令,控制下位机（散料秤）称量货物,再把数据实时返回到上位机,实现上位机和下位机的实时通信和上位机对下位机的控制。为了使得系统在工业控制应用中的功能更加完善,上位机还具备访问数据库、实时更新数据库以及打印报表等功能。     

SAR实时信号处理机上位机软件设计

基于C#与Matlab混合编程,设计并实现了SAR实时信号处理机上位机软件。首先讨论了SAR信号处理机快速调试以及SAR系统设置和实时监控的要求,在解决了上位机关键技术的基础上,结合系统硬件平台,实现了上位机与信号处理机的实时通信和上位机功能。测试验证结果表明,上位机不仅加快了信号处理机的调试进度,更是便利的系统操作控制和数据记录的可视化工具。     

基于485总线的温度监控系统

介绍了一种基于485总线的温度监控系统的设计与实现。系统采用上位机和下位机设计,下位机通过温度传感器监测温度,与预置温度比较后执行任务;上位机和下位机通过主从应答方式交换数据信息。在上位机端的PC上实现了对多路传感器传来的温度信息入库保存、打印、温度变化历史曲线绘制等功能。     

OMRON可编程控制器与计算机串行通讯的实现

阐述OMRON可编程控制器与上位连接系统之间串行通讯原理,给出了上位机在MAT－LAB环境下与C语言混合编程的程序结构及上位机与可编程序控制器串行通信程序设计方法。     

高频高压除尘电源远程控制管理系统设计

论文阐述了高频除尘电源的上位机控制系统功能设计、界面设计,以及上位机与下位机通信协议设计及具体实现方案。通过上位机远程实时控制电源运行参数和工作模式,使静电除尘器达到最佳的除尘效率和节能效果。     

使用FPGA实现多机波特率自适应的采集系统

系统采用PC机作为上位机，FPGA为上位机与总线的接口，AT89S52做为下位机的数据采集系统。可实现上位机对下位机波特率的自适应和下位机的即插即用。     

便携式泳池防溺水警报与生理健康状态评估系统设计

提出了一种便携式泳池防溺水警报与生理状态评估系统设计,通过Zigbee通信模块使得上位机和下位机相互联系,将游泳者的安全状态和生理健康状态及时反馈给上位机。当游泳者失联时间、没入的水深超过设定阈值时,下位机和上位机均会发出警报,提示救援,与此同时,iBeacon模块通过三边自适应算法定位游泳者位置。下位机收集到的生理参数同步传输到上位机,上位机通过支持向量机算法,评估出游泳者的生理健康状态,并作出相应警示。整个过程实现了对游泳者的实时监控,很大程度上预防了危险事故的发生、增大了救援的可能性。     

基于PLC的液体CT探测器控制系统设计

针对液体CT探测器设计了基于PLC的控制系统,实现了液体CT扫描探测所需的全部扫描运动控制,以及PLC与上位机和数据采集器的RS-232通讯,并在VB6．0环境下,开发了上位机监控程序,实现了上位机对PLC的系统初始化、控制命令发送、系统状态显示等任务。     

基于Proteus和组态王的温度测控系统联合仿真

数据测控系统通常由下位机和上位机组成.为实现下位机和上位机协同设计,提高设计效率,本文采用Proteus和组态王联合仿真的方法,并以温度测控系统为实例,阐述了实现下位机和上位机联合仿真的具体过程.实验结果验证了本方法的可行性.     

Advanced Compressible and Elastic 3D Monoliths beyond Hydrogels

3D monoliths have undergone great progress in the past decades in scientific and engineering fields. Especially, compressible and elastic 3D monoliths (CEMs) hold great promise in a series of applications, such as pressure/strain sensing, energy storage, oil/water separation, and thermal insulation, attributed to their unique mechanical properties and multifunctionality (e.g., conductivity, thermal stability, and high adsorption capacity). Recently, plenty of advanced CEMs have been developed from 1D and 2D building blocks, polymers, and biomass via various methods. Herein, the latest progress in controllable design and preparation of advanced CEMs, which mainly refer to aerogels, sponges, and foams, are reviewed in terms of their structural units and applications. The relationship between structure and mechanical performances of CEMs is discussed. Moreover, their applications in sensing, energy storage and conversion, water treatment, fire‐resistance, and electromagnetic interface shielding are presented. Finally, the challenges and future opportunities of CEMs are also discussed.     

Graphene‐Based Nanomaterials: Synthesis,Properties, and Optical and Optoelectronic Applications

Graphene, a two‐dimensional, single‐atom‐thick carbon crystal arranged in a honeycomb lattice, shows extraordinary electronic, mechanical, thermal, optical, and optoelectronic properties, and has great potential in next‐generation electronics, optics, and optoelectronics. Graphene and graphene‐based nanomaterials have witnessed a very fast development of both fundamental and practical aspects in optics and optoelectronics since 2008. In this Feature Article, the synthesis techniques and main electronic and optical properties of graphene‐based nanomaterials are introduced with a comprehensive view. Recent progress of graphene‐based nanomaterials in optical and optoelectronic applications is then reviewed, including transparent conductive electrodes, photodetectors and phototransistors, photovoltaics and light emitting devices, saturable absorbers for ultrafast lasers, and biological and photocatalytic applications. In the final section, perspectives are given and future challenges in optical and optoelectronic applications of graphene‐based nanomaterials are addressed.     

Effective Capacity-Based Quality of Service Measures for Wireless Networks

An important objective of next-generation wireless networks is to provide quality of service (QoS) guarantees. This requires a simple and efficient wireless channel model that can easily translate into connection-level QoS measures such as data rate, delay and delay-violation probability. To achieve this, in Wu and Negi (IEEE Trans. on Wireless Communications 2(4) (2003) 630–643), we developed a link-layer channel model termed effective capacity, for the setting of a single hop, constant-bit-rate arrivals, fluid traffic, and wireless channels with negligible propagation delay. In this paper, we apply the effective capacity technique to deriving QoS measures for more general situations, namely, (1) networks with multiple wireless links, (2) variable-bit-rate sources, (3) packetized traffic, and (4) wireless channels with non-negligible propagation delay. Dapeng Wu received B.E. in Electrical Engineering from Huazhong University of Science and Technology, Wuhan, China, in 1990, M.E. in Electrical Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 1997, and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003. From July 1997 to December 1999, he conducted graduate research at Polytechnic University, Brooklyn, New York. During the summers of 1998, 1999 and 2000, he conducted research at Fujitsu Laboratories of America, Sunnyvale, California, on architectures and traffic management algorithms in the Internet and wireless networks for multimedia applications. Since August 2003, he has been with Electrical and Computer Engineering Department at University of Florida, Gainesville, FL, as an Assistant Professor. His research interests are in the areas of networking, communications, multimedia, signal processing, and information and network security. He received the IEEE Circuits and Systems for Video Technology (CSVT) Transactions Best Paper Award for Year 2001. Currently, he is an Associate Editor for the IEEE Transactions on Vehicular Technology and Associate Editor for International Journal of Ad Hoc and Ubiquitous Computing. He served as Program Chair for IEEE/ACM First International Workshop on Broadband Wireless Services and Applications (BroadWISE 2004); and as TPC member of over 20 conferences such as IEEE INFOCOM'05, IEEE ICC'05, IEEE WCNC'05, and IEEE Globecom'04. He is Vice Chair of Mobile and wireless multimedia Interest Group (MobIG), Technical Committee on Multimedia Communications, IEEE Communications Society. He is a member of the Award Committee, Technical Committee on Multimedia Communications, IEEE Communications Society. He is also Director of Communications, IEEE Gainesville Section. Rohit Negi received the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology, Bombay, India in 1995. He received the M.S. and Ph.D. degrees from Stanford University, CA, USA, in 1996 and 2000 respectively, both in Electrical Engineering. He has received the President of India Gold medal in 1995. Since 2000, he has been with the Electrical and Computer Engineering department at Carnegie Mellon University, Pittsburgh, PA, USA, where he is an Assistant Professor. His research interests include signal processing, coding for communications systems, information theory, networking, cross-layer optimization and sensor networks.     

Cathode-ray-tube phosphors: Principles and applications

Principles and applications of phosphors in cathode-ray tubes are discussed. Among the basic parameters covered are: back-scattering, secondary emission, penetration, electronic transitions, dead voltage and energy, and optical efficiencies. Various relevant aspects of television kinescopes are discussed, including commercially used phosphor characteristics and screening techniques, radar tubes, image tubes, voltage-dependent color displays, flying-spot and beam-indexing tubes, projection, printing, and infrared stimulation systems. Colorimetry and photometry, as applied to phosphors, are discussed, including the CIE and UCS systems.     

Reciprocal and Reciprocal Square Root Units with Operand Modification and Multiplication

Reciprocals and reciprocal square roots are used in several digital signal processing, multimedia, and scientific computing applications. This paper presents high-speed methods for computing reciprocals and reciprocal square roots. These methods use a table lookup, operand modification, and multiplication to obtain an initial approximation. This is followed by a modified Newton-Raphson iteration, which improves the accuracy of the initial approximation. The initial approximation and Newton-Raphson iteration employ specialized hardware to reduce the delay, area, and power dissipation. The application of these methods is illustrated through the design of reciprocal and reciprocal square root units for operands in the IEEE single precision format. These designs are pipelined to produce a new result every clock cycle. Kent Wires received a B.S. degree in Electrical Engineering from Cornell University, Ithaca, NY in 1996, and M.S. and Ph.D. degrees in Electrical Engineering from Lehigh University, Bethlehem, PA, in 1997 and 2001, respectively. From 1998 to 2001, he was a Member of Technical Staff at Lucent Technologies, Allentown, PA, where he was a member of the Advanced DSP Architectures and Compilers Group. He is currently a Senior Member of Technical Staff at Agere Systems, Allentown, PA, where he is a systems architect focusing on media streaming and network protocol techniques. His current research interests include computer arithmetic, media streaming techniques, efficient processor modeling techniques, and network processor architectures and protocols. Michael Schulte received a B.S. degree in Electrical Engineering fromthe University of Wisconsin-Madison in 1991, and M.S. and Ph.D. degrees in Electrical Engineering from the University of Texas at Austin in 1992 and 1996, respectively. From 1996 to 2002, he was an assistant and associate professor at Lehigh University, where he directed the Computer Architecture and Arithmetic Research Laboratory. In 1997, he received a NSF CAREER Award to research hardware support for accurate and reliable numerical computations. Prof. Schulte has consulted for or had joint research projects with Sandbridge Technologies, IBM, Sun Microsystems, ARM, Lucent Technologies, Agere Systems, MIPS Technologies, and Sandia National Laboratories. He is currently an assistant professor at the University of Wisconsin-Madison, where he leads the Madison Embedded Systems and Architectures Group. His research interests include high-performance embedded processors, computer architecture, domain-specific systems, computer arithmetic, and wireless security. He is a senior member of the IEEE and the IEEE Computer Society, and an associate editor for the IEEE Transactions on Computers and the Journal of VLSI Signal Processing.     

Technology for the 1990s

A forecast of the practical and promising devices, circuits, and systems that can be expected in the next one to five years is presented. It is based on a survey of a group of distinguished practitioners throughout the industry. The forecasts cover the areas of lasers and electrooptics, integrated optoelectronics, electron devices, digital integrated circuits, high-frequency and microwave devices, VLSI signal and image processing systems, analog ICs and signal processing, power electronics and systems, neural systems and applications, and medical image and signal processing. A particularly optimistic outlook is seen for lasers, fiber optics, optoelectronic ICs, and optical switching and processing. Digital ICs and power electronics are also expected to make steady gains. In addition, flat panel displays will attract a fair amount of activity, with the liquid-crystal and electroluminescent types emerging as the leaders in this decade. Looking further out, advances in artificial and biological neural systems represents a natural extension to more sophisticated problem-solving in speech processing, vision and communications     

单目图像序列光流三维重建技术研究综述

由单目图像序列光流重建物体或场景的三维运动与结构是计算机视觉、图像处理与模式识别等领域的重要研究内容,在机器人视觉、无人机导航、车辆辅助驾驶以及医学影像分析等方面具有重要的应用。本文首先从精度与鲁棒性等方面对单目图像序列光流计算及三维重建技术近年来取得的进展进行综述与分析。然后采用Middlebury测试图像序列对HS、LDOF、CLG-TV、SOF、AOFSCNN 和 Classic ＋NL 等典型光流算法以及 Adiv、RMROF、Sekkati 和DMDPOF等基于光流的间接与直接重建方法进行实验对比分析,指出各对比方法的优点与不足,归纳各类方法的性能特点与适用范围。最后对利用分数阶微分模型、非局部约束、立体视觉以及深度线索解决亮度突变、非刚性运动、运动遮挡与模糊情况下光流计算及重建模型的局限性与鲁棒性问题进行总结与展望。     

Performance of Multilayered Video Encoding and Delivery over Lossy Channels Using a Joint Source-Channel Coding Approach

In this paper, the performance of selected error-control schemes based on forward error-control (FEC) coding for H.263+ video transmission over an additive white Gaussian noise (AWGN) channel is studied. Joint source and channel coding (JSCC) techniques that employ single-layer and 2-layer H.263+ coding in conjunction with unequal error protection (UEP) to combat channel errors are quantitatively compared. Results indicate that with appropriate joint source and channel coding, tailored to the respective layers, FEC-based error control in combination with 2-layer video coding techniques can lead to more acceptable quality for wireless video delivery in the presence of channel impairments. Yong Pei is currently a tenure-track assistant professor in the Computer Science and Engineering Department, Wright State University, Dayton, OH. Previously he was a visiting assistant professor in the Electrical and Computer Engineering Department, University of Miami, Coral Gables, FL. He received his B.S. degree in electrical power engineering from Tsinghua University, Beijing, in 1996, and M.S. and Ph.D. degrees in electrical engineering from Rensselaer Polytechnic Institute, Troy, NY, in 1999 and 2002, respectively. His research interests include information theory, wireless communication systems and networks, and image/video compression and communications. He is a member of IEEE and ACM. James W. Modestino (S′67- M′73- SM′81- F′87) was born in Boston, MA, on April 27, 1940. He received the B.S. degree from Northeastern University, Boston, MA, in 1962, and the M.S. degree from the University of Pennsylvania, Philadelphia, PA, in 1964, both in electrical engineering. He also received the M.A. and Ph.D. degrees from Princeton University, Princeton, NJ, in 1968 and 1969, respectively. He has held a number of industrial positions, including positions with RCA Communications Systems Division, Camden, NJ; General Electronic Laboratories, Cambridge, MA; AVCO Systems Division, Wilmington, MA; GTE Laboratories, Waltham, MA; and MIT Lincoln Laboratories, Lexington, MA. From 1970 to 1972, he was an Assistant Professor in the Department of Electrical Engineering, Northeastern University. In 1972, he joined Rensselaer Polytechnic Institute, Troy, NY, where until leaving in 2002 he was an Institute Professor in the Electrical, Computer and Systems Engineering Department and Director of the Center for Image Processing Research. He has been responsible for teaching and research in the communication, information and signal processing systems area. His specific research interests include communication in fading dispersive channels; detection, estimation and filtering in impulsive or burst noise environments; digital signal, image and video processing; and multimedia communication systems and networks. In 2002 he joined the Department of Electrical and Computer Engineering at the University of Miami, Coral Gables, FL, as the Victor E. Clarke Endowed Scholar, Professor and Chair. He has held visiting positions with the University of California at San Diego, LaJolla, CA (1981–1982); GE Research and Development Center, Schenectady, NY (1988–1989); and Massachusetts Institute of Technology, Cambridge, MA (1995–1996). Dr. Modestino is a past member of the Board of Governors of the IEEE Information Theory Group. He is a past Associate Editor and Book Review Editor for the IEEE TRANSACTIONS ON INFORMATION THEORY. In 1984, he was co-recipient of the Stephen O. Rice Prize Paper Award from the IEEE Communications Society and in 2000 he was co-recipient of the best paper award at the International Packet Video Conference.     

光控电磁超材料研究进展

电磁超材料是由亚波长尺寸单元周期或非周期排列组成的人工结构,能对电磁波的频率、幅度、相位和极化等基本物理特征进行调控,突破了传统材料的限制,可实现很多自然界不存在的有趣物理现象及应用。过去二十余年,超材料因其强大的电磁调控能力一直是物理领域的研究热点。但无源超材料在电磁波调控中存在局限性,如工作频率固定、实现功能单一等...