Computer science in electrical engineering

The vital role that electrical engineering departments must play in providing undergraduates with special competence in computer sciences is explored. Three related problem areas are discussed: (1) meeting the needs of students majoring in computer sciences in electrical engineering; (2) balancing the treatment of continuous and discrete systems so that students have a background in discrete systems comparable to that which they now acquire in continuous systems; and (3) realizing wider and more effective use of the digital computer as a tool for analysis and design in all engineering courses. Specific suggestions for meeting these needs are offered.     

CAS 101 [electronic engineering education]

This article focuses on undergraduate electrical engineering educational philosophy, pedagogy, and curricular content. In this article I present an academic philosophy believed to bring about excellence in the undergraduate electrical engineering program. This article also offers several general suggestions for strengthening coursework in the circuits, systems, and electronics areas     

Systems engineering education

The article discusses some basic principles underlying systems engineering, and the translation of these principles to practices such as to enable the engineering of trustworthy systems of all types that meet client needs. The article is concerned with systems engineering education. Thus, it is inherently also concerned with systems engineering, as this provides a major component of the material that is important for systems engineering education. After setting forth some of the necessary ingredients for success in systems engineering, we devote some comments to objectives for and needs in systems engineering education     

The impact of digital technology on electrical engineering education

Digital technology has revolutionized electrical engineering education. Students entering engineering schools have a strong background in discrete mathematics that is often augmented by a knowledge of programming and of microcomputers. The electrical engineering curriculum has changed to include digital techniques in all major fields. Computer science and engineering, a discipline that may be taught in either computer science or electrical engineering departments, continues to grow. Software engineering is gaining increasing stature. Digital technology has affected instruction in electrical engineering and other university-level subjects less than it has affected curriculum, but significant computer-assisted or computer-managed instruction can be found. The practice of elecltrical engineering has changed with its acceptance of the computer as a design tool and the advent of the microprocessor.     

Electrical engineering education and certification, validation, and licensing

Evidence is accumulating that legislative actions will result in new requirements for practicing electrical engineers and electrical engineering educators. These requirements will include registraction and licensing as professional engineers for both groups as well as proof of up-to-date competence before relicensing. Such requirements will provide problems as well as opportunities for electrical engineering educators. The problems are associated with responding to the new require ments while retaining some degree of control over and responsibility for the educational programs. The opportunities are available because continuing education will play an important role in the relicensing of practitioners as well as their career development. This paper will dis cuss the many ramifications of the interface between government, the public, practicing electrical engineers and electrical engineering educators.     

Toward a unified systems engineering education

Systems engineering education is analyzed. The root of systems engineering is system theory, and both are given a brief overview. The methodology of systems engineering is used to design an educational concept. Four alternative approaches, and their merits are tested and evaluated against the requirements defined for education. The conclusion, for the benefit both of engineering education in general and systems engineering in particular, is an integration of systems engineering principles into the education of all branches of engineering, rooted as they are in system theory and design practice already. This approach means a rationalization of the present engineering education, and meets the requirements from industry to a wider spread use of systems engineering principles and practices     

Efficiency optimization for systems and components in microwave power engineering.

The paper is concerned with one aspect of optimization of microwave thermal processing, namely, with optimization of energy coupling interpreted as a numerical characteristic of system efficiency. Since in computer-aided design coupling can be evaluated through the computed reflections, an optimization scheme is presented that is particularly suitable for minimizing the reflection coefficient in typical systems and elements of microwave power engineering. Based on response surface methodology and the sequential quadratic programming for constrained optimization, the procedure is linked with the full-wave 3-D FDTD electromagnetic simulator QuickWave-3D. Credibility and effectiveness of the method is illustrated by four examples: dimensional optimization is performed for a dry waveguide load, a waveguide T-junction with a partial-height post, a water cylinder in a cavity, and a slotted waveguide-backed radiating element.     

Michigan multioption program in electrical engineering

A multioption (three) program in electrical engineering is proposed to meet the needs of a rapidly advancing technology and a wide range of student interests and objectives. A specific program is described which includes a wide range of technical electives outside of electrical engineering, and also features a novel treatment of advanced mathematics for electrical engineering students in both the systems and science areas. An integrated humanities-social sciences program is additionally described.     

Expert system applications in software engineering

This paper presents an overview of research in expert systems and artificial intelligence as they relate to software engineering. The paper begins with a review of current thinking regarding the software process. This is followed by a discussion of artificial intelligence (AI) and the paradigms it uses. Six current projects are described: three are concerned with programming in the large and three with programming in the small. These six projects provide a representative sample of the AI research now underway in the software engineering domain. The paper concludes with some observations regarding when and how the concepts represented by these projects will be available for application to operational projects.     

数字波束形成器的工程实现

数字波束形成技术是天线波束形成原理与数字信号处理技术相结合的产物,其广泛应用于阵列信号处理领域。本文介绍了数字波束形的基本原理和基于FPGA和DSP的具体工程实现。     

电气工程自动化技术在机械设备中的运用

自动化技术指的是在计算机技术过程之中加入人工智能,使计算机运行能够智慧化,这一技术的控制影响着电气工程系统的整体运转,后者则是电气工程领域里重要性至上的组成成分,自动化是社会发展以及科学技术进步的表现,在社会的迅速发展之下,众多领域都完成了这一质的飞跃,而对于电气工程来讲,这一转变直接促进了它自身的成熟与发展,这一技术也是本文的主旨,文章将逐步讨论自动化技术的相关理论、其技术的具体分析、其实际应用的剖析,努力保证其设备的质量.     

基于FPGA的IIR滤波器在DTV中的仿真

在数字电视技术中,诸如通讯、视频图像和音频信号处理等系统中都要求对信号处理要有实时性和灵活性,随着可编程逻辑器件和EDA技术的发展,FPGA在这些方面的优势都突显出来了,基于FPGA的信号处理器已广泛应用于各种信号处理领域。数字滤波器是现代数字信号处理系统的重要组成部分之一。IIR数字滤波器又是其中非常重要的一类滤波器,因其较低的阶次可以获得较高的频率选择特性而得到广泛应用。     

An interactive and team approach to multimedia design curriculum

Over the past decade, increasingly powerful technologies have made it easier to compress, distribute, and store multimedia content. The merger of computing and communications has created a ubiquitous infrastructure that brings digital multimedia closer to the users and opens up tremendous educational and commercial opportunities in multimedia content creation, delivery, rendering, and archiving for millions of users worldwide. Multimedia has become a basic skill demanded by an increasing number of potential jobs for electrical engineering/computer science graduates. In this article, the authors intend to share their experiences and new ways of thinking about curriculum development. It is beneficial for colleagues in the multimedia signal processing areas for use in developing or revising the curriculum to fit the needs and resources of their own programs.     

Microwave engineering education in Australia

The emergence of Australian science/engineering is presented in its historical and socioeconomic milieu. Engineering education is then considered in tertiary educational institutions where microwave engineering is taught at the undergraduate and postgraduate levels. The Australian educational system provides education of a high standard for technicians, engineers, and scientists. While there was no indigenous microwave industry in Australia, microwave engineering was actively pursued in academia and in several quasi-government organizations/laboratories. In fields related to microwave engineering, Australia excelled in the areas of radioastronomy and microwave landing systems. In the 1980's indigenous microwave engineering firms appeared as a result of a determined effort to augment and strengthen the Australian manufacturing base. The recent emergence of the many centers described here and the appropriate fiscal policies put in place by the present government will aid the above process. In these new thrusts, universities and quasi-government organizations are destined to play a pivotal role     

Mechatronics and smart structures: emerging engineering disciplines for the third millennium

This paper tackles the impact that Mechatronics and Smart Structures disciplines have on the engineering education in the new millennium. Mechatronics is an emerging engineering area that will likely alter the fundamental nature of engineering education in the disciplines of electrical and mechanical engineering. It can provide an academic model for developing multi-disciplinary programs within the engineering college departmental structure that is historically based on the traditional engineering disciplines. Mechatronics integrates the classical fields of mechanical engineering, electrical engineering, computer engineering, and information technology to establish basic principles for a contemporary engineering design methodology. A mechatronics concentration area in the engineering curriculum would support the synergistic integration of precision mechanical engineering, electronics control, and systems thinking into the design of intelligent products and processes. Smart Structures, a. k. a. Adaptive Structures, a. k. a. Adaptronics, is an emerging engineering field with multiple defining paradigms. One definition is based upon a technology paradigm: “the integration of actuators, sensors, and controls with a material or structural component”. Multi-functional elements form a complete regulator circuit resulting in a novel structure displaying reduced complexity, low weight, high functional density, as well as economic efficiency. Another definition is based upon a science paradigm in an attempt to capture the essence of biologically inspired materials by addressing the goal as creating material systems with intelligence and life-like features integrated in the microstructure of the material system to reduce mass and energy and produce adaptive functionality. Their basic characteristics of efficiency, functionality, precision, self-repair, and durability continue to fascinate designers of engineering structures today.     

基于加窗插值FFT的电网谐波检测系统的研究

随着科学技术和国民经济的快速发展,电能的需求量也极大增长,同时电能质量越来越显示其重要性,电力部门和用户对电能质量的关注也日益增加。大量电力电子装置的迅速普及使得电网的谐波污染日益严重,谐波影响电力设备的安全使用,也对周围的通信系统和电网以外的设备带来危害。基于保护电力设备及合理利用电力资源的目的,采用DSP和单片机双CPU的结构,进行FFT变换、加窗插值等数字信号处理的方法,对电力参数进行准确、实时地检测。通过实验,得到了谐波次数及与之对应的有效值、谐波幅值及畸变率。     

Education in biomedical engineering

The interface between electrical engineering and the life sciences has grown enormously over the past three decades, nearly keeping pace with the expanding disciplines themselves. In an era when one finds engineers applying automata theory to genetic control systems, coupled-oscillator theory to the growth of yeast or the synchronizing of circadian rhythms, control theory to the cardiovascular system, communication theory to sensory systems, and network theory to food chains, one is no longer justified in holding a stereotyped view of the "Bio-Medical Engineer," or in providing a specialized education to correspond to that stereotype. It is proposed that the undergraduate education of a bioengineer should introduce him to the breadth of that interface along which he eventually must choose a niche. Thus early specialization, both in engineering and in the life sciences is undesirable.     

Design and Implementation of Flexible Resampling Mechanism for High-Speed Parallel Particle Filters

There are many applications in which particle filters outperform traditional signal processing algorithms. Some of these applications include tracking, joint detection and estimation in wireless communication, and computer vision. However, particle filters are not used in practice for these applications mainly because they cannot satisfy real-time requirements. This paper presents an efficient resampling architecture for parallel particle filtering. The proposed architecture is flexible such that it supports various modes of parallel resampling operations with up to four processing elements. The resampling algorithm is developed in order to compensate for possible error caused by finite precision quantization in the resampling step. Communication between the processing elements after resampling is identified as an implementation bottleneck, and therefore, concurrent buffering is incorporated in order to speed up communication of particles among processing elements. The flexible resampling mechanism is implemented in 0.35 μ m CMOS process and its complexity and performance are analyzed. Sangjin Hong received the B.S and M.S degrees in EECS from the University of California, Berkeley. He received his Ph.D in EECS from the University of Michigan, Ann Arbor. He is currently with the department of Electrical and Computer Engineering at State University of New York, Stony Brook. Before joining SUNY, he has worked at Ford Aerospace Corp. Computer Systems Division as a systems engineer. He also worked at Samsung Electronics in Korea as a technical consultant. His current research interests are in the areas of low power VLSI design of multimedia wireless communications and digital signal processing systems, reconfigurable SoC design and optimization, VLSI signal processing, and low-complexity digital circuits. Prof. Hong served on numerous Technical Program Committees for IEEE conferences. Prof. Hong is a Senior Member of IEEE. Shu-Shin Chin was born in Kaohsiung, Taiwan, ROC, in 1974. He received his M.S. and Ph.D degrees in electrical and computer engineering from Stony Brook University – State University of New York in 1999 and 2004, respectively. His research interests include low-power digital circuits, and coarse-grained reconfigurable architectures for high-performance DSP systems. Miodrag Bolić received the B.S. and M.S. degrees in electrical engineering from the University of Belgrade, Yugoslavia, in 1996 and 2001, respectively, and his Ph.D. degree in electrical engineering from Stony Brook University, NY, USA. He is currently with the School of Information Technology and Engineering at the University of Ottawa, Canada. From 1996 to 2000 he was Research Associate with the Institute of Nuclear Science Vinĉa, Yugoslavia. From 2001 to 2004 he worked part-time at Symbol Technologies Inc., NY, USA. His research is related to VLSI architectures for digital signal processing and signal processing in wireless communications and tracking. Petar M. Djurić received his B.S. and M.S. degrees in electrical engineering from the University of Belgrade, in 1981 and 1986, respectively, and his Ph.D. degree in electrical engineering from the University of Rhode Island, in 1990. From 1981 to 1986 he was Research Associate with the Institute of Nuclear Sciences, Vinĉa, Belgrade. Since 1990 he has been with Stony Brook University, where he is Professor in the Department of Electrical and Computer Engineering. He works in the area of statistical signal processing, and his primary interests are in the theory of modeling, detection, estimation, and time series analysis and its application to a wide variety of disciplines including wireless communications and bio-medicine. Prof. Djurić has served on numerous Technical Committees for the IEEE and SPIE and has been invited to lecture at universities in the US and overseas. He is the Area Editor of Special Issues of the Signal Processing Magazine, the Treasurer of the IEEE Signal Processing Conference Board, and Associate Editor of the IEEE Transactions on Signal Processing. He is also the Chair elect of the IEEE Signal Processing Society Committee on Signal Processing—Theory and Methods, and an Editorial Board member of Digital Signal Processing, the EURASIP Journal on Applied Signal Processing and the EURASIP Journal on Wireless Communications and Networking. Prof. Djurić is a Member of the American Statistical Association and the International Society for Bayesian Analysis.     

VLSI Implementation of An Adaptive Equalizer for ATSC Digital TV Receivers

An adaptive equalizer for ATSC standard HDTV receivers is developed and implemented in VLSI. This equalizer is based on the G-pseudo algorithm that combines the advantages of the decision directed and blind algorithms. It also conducts ghost cancellation for the reception of NTSC analog TV signals. A programmable error calculation unit is employed for a flexible implementation of several equalization algorithms. The filter coefficients have a long internal word-length for a satisfactory operation in the blind adaptation mode, but only parts of them are used for output calculation to reduce the hardware complexity. The performance of the system for seven GA reference channels is evaluated according to the adaptation algorithms, the number of delays for the adaptation, and the word-length of the filter coefficients. The chip area and power consumption according to the time multiplexing ratio are estimated.Wonyong Sung received the B.S. degree in electronic engineering from the Seoul National University in 1978, the M.S. degree in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST) in 1980, and the Ph.D. degree in electrical and computer engineering from the University of California, Santa Barbara, in 1987.From 1980 to 1983, he worked at the Central Research Laboratory of the Gold Star (currently LG electronics) in Korea. During his Ph.D. study, he developed parallel processing algorithms, vector and multiprocessor implementation, and low-complexity FIR filter design. He has been a member of the faculty of the Seoul National University since 1989. From May of 1993 to June of 1994, he consulted the Alta Group for the development of the Fixed Point Optimizer, automatic word-length determination and scaling software. From January of 1998 to December of 1999, he worked as a chief of the SEED (System Engineering and Design center) in Seoul National University. He was an associate editor of the IEEE Tr. Circuits and Systems II from 2000 to 2001, is a design and implementation technical committee member of the IEEE Signal Processing Society, and is a VLSI systems and application technical committee member of the IEEE Circuits and Systems Society. He was the general chair of the IEEE Workshop on Signal Processing Systems in 2003. He founded a venture company, Edumedia Technologies, in 2000, and has developed a handheld educational device for kids, SpeakingPartner, for mass production.His major research interests are the development of fixed-point optimization tools, implementation of VLSI for digital signal processing, and development of multimedia software for handheld devices and VLIW digital signal processors.Youngho Ahn received the B.S. and M.S. degrees in electronic engineering from Seoul National University, Seoul, Korea, in 1997 and 1999 respectively. From 1999 to 2000, he was with Samsung Electronics, Kyunggi-Do, Korea, where he was involved in the ASIC design and development of ATSC digital television receivers. Since 2001, he has been with GCT Semiconductor, Inc., where he works in the communications IC design group. His research interests include wireless communications and ASIC design of communications systems.Eunjoo Hwang was born in Taegu, Korea on April 7, 1974. She received the B.S and M.S degrees in electrical engineering from Seoul National University in 1997 and 1999, respectively. Currently, she works for Silicon Image in Sunnyvale, California, USA as a digital circuit design engineer. Her research interests include blind equalization, joint timing recovery algorithm and storage network design.     

Design evolution of engineering systems using bond graphs and genetic programming

This paper presents a scheme of evolutionary design optimization, which integrates modeling with bond graphs and optimization using genetic programming for multi-domain engineering systems, particularly mechatronic systems. The performance of the developed system is studied using both experimentation and simulation. During the evolutionary optimization, in addition to the desired response error, system complexity is also taken into account. For the experimental study, the method is implemented in an industrial fish processing machine at the Industrial Automation Laboratory of the University of British Columbia, and the obtained results for suggested design modifications are studied and tested. The drawbacks of the fitness calculation methodologies that are presented in literature are identified and improved fitness functions are developed for evolutionary design in the present work. While previous work has investigated the integration of bond graphs and genetic programming for designing an engineering system, the present work specifically addresses the application of the developed method for the design improvement of an industrial machine. The proposed method is applicable particularly to existing engineering systems, first because the initial model can be tested by comparing its simulated results with the corresponding results from the actual physical system, and second because the design improvements as suggested by the evolutionary design framework, which is developed in the present work, may be implemented and tested against the behavior of the corresponding model.