ECE Undergraduate Computer Engineering Education Mode Analysis

Guest Editorial: Situational awareness of integrated energy systems

Guest Editorial

Software/Hardware Implementation of an Adaptive Noise Cancellation SystemThis paper provides details of our electrical engineering program efforts to introducesoftware/hardware design concepts and tools in senior-level and senior-design courses. Thepaper provides details of laboratory exercises and a senior project to implement adaptive filtersusing variations of the least mean square (LMS) and the recursive least squares (RLS) algorithmsand the use of adaptive filters designed using these algorithms in the design of adaptive noisecancellation system. The paper also details the implementation of the adaptive noise cancellationsystem on three different families FPGA boards. Advantages and disadvantages of each of theseimplementations will also be presented. The paper will also detail the challenges involved inteaching continually-evolving software/hardware design tools and the efforts made to reducetheir learning times. The paper will also report on the assessment student learning outcomesassociated with this project including: a) Increasing students’ understanding ofhardware/software system design tools, implementation methodologies, and professionalpractices; and b) improving student awareness of contemporary issues in system engineeringdesign and their relation to their professional career opportunities.

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsM Jagadesh KumarM Jagadesh Kumar (SM'99) was born in Mamidala, Nalgonda District, Andhra Pradesh, India. He received the MS and PhD degrees in electrical engineering from the Indian Institute of Technology, Madras, India. From 1991 to 1994, he performed post-doctoral research in modeling and processing of high-speed bipolar transistors with the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. While with the University of Waterloo, he also did research on amorphous silicon TFTs. From July 1994 to December 1995, he was initially with the Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India, and then joined the Department of Electrical Engineering, Indian Institute of Technology, Delhi, India, where he became an Associate Professor in July 1997 and a Full Professor in January 2005. His research interests are in VLSI device modeling and simulation for nanoscale applications, integrated-circuit technology, and power semiconductor devices. He has published extensively in the above areas with more than 115 publications in refereed journals and conferences and has filed five patent applications. His teaching has often been rated as outstanding by the Faculty Appraisal Committee, IIT Delhi.Dr Kumar is a Fellow of Institution of Electronics and Telecommunication Engineers (IETE), India. He has been awarded the 29th IETE Ram Lal Wadhwa Gold Medal for distinguished contribution in the field of semi-conductor device design and modeling. He is an editor of IEEE Transactions on Electron Devices. He is also on the editorial board of (i) Recent Patents on Nanotechnology, (ii) Journal of Nanoscience and Nanotechnology and (iii) IETE Journal of Research as a subject area Honorary Editor for Electronic Devices and Components. He has reviewed extensively for different journals including IEEE Trans on Electron Devices, IEEE Trans on Device and Materials Reliability, IEE Proc on Circuits, Devices and Systems, Electronics Letters and Solid-state Electronics. He was Chairman, Fellowship Committee, The Sixteenth International Conference on VLSI Design, January 4–8, 2003, New Delhi, India. He was Chairman of the Technical Committee for High Frequency Devices, International Workshop on the Physics of Semiconductor Devices, December 13–17, 2005, New Delhi, India.

Public Interest Technology (PIT) is an emerging field focused upon ensuring that innovative technologies are designed, distributed, and mediated for the well-being of the public. PIT seeks to educate technologists, engineers, and researchers to be cognizant of the public impact of their work and to train policymakers to equitably mediate the scope and reach of technology. However, the reach and impact of PIT work can be further enhanced through theoretical and pragmatic Science, Technology, and Society (STS) knowledge. For the past four years, I have worked on a large-scale change initiative in an electrical and computer engineering (ECE) department. An in-depth qualitative study of the department revealed several challenges within the department regarding identity, sense of belonging, invisible work, and career trajectory. As a scholar-practitioner, I employed STS theory and pragmatic knowledge to create three critically crafted interventions to address these challenges. First, STS knowledge was utilized to investigate the challenges within the department and understand how these challenges affected the multiple stakeholders and the culture of the ECE department. Second, pragmatic STS knowledge was utilized to create projects to shift the boundaries within the engineering department that limited the professional, academic, and personal opportunities of the engineering student. The purpose of this paper is to illustrate how my application of STS theoretical and pragmatic scholarship to address the culture of an electrical and computer engineering department can contribute to the field of PIT.

This chapter discusses the payload design issues for small unmanned aerial vehicles (UAVs). Details of several payload design principles to overcome various small UAV constraints imposed by stringent weight, power, and volume are discussed. Throughout the chapter, the efficacy of these principles is demonstrated with the help of the payloads for a fixed wing UAV developed by the S. Gruber ( ) • H. Kwon • C. Hager • R. Sharma • J. Yoder Academy Center for Unmanned Aircraft Systems Research, Department of Electrical and Computer Engineering, United States Air Force Academy, Colorado Springs, CO, USA e-mail: scott.gruber@usafa.edu; hyukseong.kwon@usafa.edu; chad.hager.ctr@usafa.edu; rajnikant.sharma.ctr.in@usafa.edu; josiah.yoder.ctr@usafa.edu D. Pack Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX, USA e-mail: daniel.pack@utsa.edu K.P. Valavanis, G.J. Vachtsevanos (eds.), Handbook of Unmanned Aerial Vehicles, DOI 10.1007/978-90-481-9707-1 84, © Springer Science+Business Media Dordrecht 201 143

NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2632 Active Learning in Large Lectures Russell D. Meier Kansas State University I. Introduction Active learning is powerful teaching. I have used active learning techniques in undergraduate computer engineering courses at Iowa State University and Kansas State University. I firmly believe that the learner-centered, active learning exercises have enhanced student knowledge of the material. I was challenged by two large lecture courses during the 1997-1998 academic year. Each course had a class size approaching 100 students. Many instructors believe that a large lecture is not an appropriate active learning environment. I strongly disagree. Properly designed exercises with appropriate individual-accountability measurements work very well in large lectures. In each course, the students formed cohesive learning teams. The teams enjoyed the active learning challenge problems and directed class discussion. My role evolved from a lecturer to the role of facilitator and mentor. Facilitating these learner-centered classrooms is the most rewarding experience I have had as a faculty member. However, managing large active learning classrooms is not for the weak-at-heart. Large lectures pose unique questions that must be faced when designing active learning environments. How will the large number of teams be selected? Is it possible to diversify teams in a large lecture when the student population is mostly homogenous? How can activities be completed in large lecture halls? What about the students that refuse to participate? Does active learning work for every student in the large course? Will the shear number of active learning teams foster competition, and is competition desired? What about incomplete teams caused by truancy? Is it possible to guarantee individual-accountability within the large student population? I had to find answers to all of these questions. This paper will discuss my experience designing and facilitating the active learning environments for the large lectures of my computer engineering courses. II. Background I began my teaching career in the Department of Electrical and Computer Engineering at Iowa State University. The computer engineering enrollment was increasing steadily while the computer engineering faculty size remained static. Thus, class size increased dramatically for the faculty members teaching core courses. I was the only instructor of one four credit-hour course on microprocessor systems design (CprE 301) from 1994 through 1998. My CprE 301 lectures met for 50 minutes three times per week and every student attended one three-hour laboratory during the week. The lecture grew from 40 students to nearly 100 students during these years. In 1997, I was also gifted with a second large lecture to be taught each semester; a three credit- hour course entitled "Fundamentals of Computer Engineering (CprE 310)." CprE 310 had always been extremely unpopular because it was perceived by students to be a mathematics

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsM. YangMei Yang received her Ph.D. degree in Computer Science from the University of Texas at Dallas in August 2003. She is currently an Assistant Professor in the Department of Electrical and Computer Engineering at University of Nevada, Las Vegas (UNLV). Before she joined UNLV, she was an Assistant Professor in the Department of Computer Science at Columbus State University from August 2003 to August 2004. Her current research interests include computer architectures, networking, and embedded systems.L. WangLing Wang received her Ph.D. degree in Electrical Engineering from University of Nevada, Las Vegas, USA, in 2003. In 2004, she joined the faculty of the College of Computer Science and Technology at Harbin Institute of Technology as Associate professor. Her primary interests are in VLSI design and various aspects of computer-aided design, and network-on-chip.

Coupling Of Synthesis And Layout: Challenges And Solutions

Dr. Mohammad Kamrul Hasandr. Mohammad Kamrul Hasan (Mieee’13, Smieee’17) is Currently Working as a Senior Lecturer in Thenetwork and Communication Technology Research Cluster, Center for Cyber Security, Faculty Ofinformation Science and Technology, Universiti Kebangsaan Malaysia (Ukm). He Completed a Doctor Ofphilosophy (Ph.D.) Degree in Electrical and Communication Engineering from the Faculty of Engineering,International Islamic University, Malaysia, in 2016. Dr. Hasan

Portfolio assessment in an American Engineering College

Usually, so far, formal education mostly focuses on treating only strictly separated and specialized topic areas, called disciplines. However, as the need for cooperation between professionals oriented from different disciplines grows, the need for a multidisciplinary educational approach becomes more and more important. For a technical education to be completed, it is no longer enough to train scientists and engineers solely in technical areas. In development and implementation of technology-driven applications, multidisciplinary issues should be properly addressed in the academic sense. The College of Engineering at Sultan Qaboos University (SQU) has addressed this issue of multidisciplinary education by developing and offering interdisciplinary programs such as Mechatronics program, which is jointly offered by the Department of Electrical and Computer Engineering (ECE) and Department of Mechanical and Industrial Engineering (MIE), and also transdisciplinary programs such as a specialization in biomedical signals and medical devices (approved, but not yet offered at the time of writing this book chapter, 2016) and a program in agricultural engineering. Also, to make engineering graduates capable of working effectively in multidisciplinary teams, final-year projects (FYP) of multidisciplinary nature has been defined and implemented by the students under the supervision of faculty members.

International Journal of Adaptive Control and Signal ProcessingVolume 12, Issue 7 p. 600-602 Book ReviewFree Access Digital Control Systems, P. N. Paraskevopoulos, Prentice Hall Inc., Hemel Hempstead, Herts, England, U.K., 1996, ISBN 0-13-341876-6, xv + 383pp., Price: £25.95 T. Chen, T. Chen Department of Electrical and Computer Engineering, The University of Alberta, Edmonton, Alberta, Canada T6G 2G7Search for more papers by this author T. Chen, T. Chen Department of Electrical and Computer Engineering, The University of Alberta, Edmonton, Alberta, Canada T6G 2G7Search for more papers by this author First published: 18 December 1998 https://doi.org/10.1002/(SICI)1099-1115(199811)12:7<600::AID-ACS509>3.0.CO;2-CAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. References 1 Franklin, G. F., J. D., Powell and M. L. Workman, Digital Control of Dynamic Systems, Addison-Wesley, Reading, MA, 1990. 2 Aström, K. J. and B., Wittenmark, Computer Control Systems, Prentice-Hall, Englewood Cliffs; NJ, 1984. 3 Phillips, C. L. and H. T., Nagal, Digital Control System Analysis and Design, Prentice-Hall, Englewood Cliffs, NJ, 1990. 4 Ogata, K., Discrete-Time Control Systems, Prentice-Hall, Englewood Cliffs, NJ, 1987. 5 Chen, T. and B. A., Francis, Optimal Sampled-Data Control Systems, Springer, Berlin, 1995. Volume12, Issue7November 1998Pages 600-602 ReferencesRelatedInformation

First Person is a series of interviews with the first authors of a selection of papers published in Journal of Cell Science, helping researchers promote themselves alongside their papers. Timothy Wong and Ismail Khater are co-first authors on ‘ SuperResNET – single-molecule network analysis detects changes to clathrin structure induced by small-molecule inhibitors’, published in JCS. Timothy is a PhD student in the lab of Ivan Nabi at the Department of Cellular &amp; Physiological Sciences, Life Sciences Institute, University of British Columbia, Vancouver, Canada, investigating super-resolution microscopy imaging to study endocytosis. Ismail is an Assistant Professor at the Department of Electrical and Computer Engineering, Faculty of Engineering and Technology, Birzeit University, Palestine, working on developing machine learning and computational techniques for enhanced super-resolution microscopy data analysis.

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsK GiridharK Giridhar received the BSc (Applied Sciences) degree from PSG College of Technology, Coimbatore, in 1985, and the ME degree in Electrical Communication Engineering from Indian Institute of Science, Bangalore, in 1989, and the PhD degree in Electrical and Computer Engineering from University of California, Santa Barbara, CA, in 1993.He has also worked for a year each, as a Member of Research Staff at Bharat Electronics, Bangalore, and as a Research Affiliate in Electrical Engineering at Stanford University, California. In 1994, he joined the Indian Institute of Technology, Madras, and currently, is an Associate Professor of Electrical Engineering.His present research interests are in the areas of noncoherent and multiuser detection, space-time processing, adaptive estimation, and various transceiver algorithms for 3G and 4G wireless systems. He is involved in telecommunication product development activity based on the DECT Wireless in Local Loop system developed by HTM. He has also been a visiting faculty at Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Andhra Pradesh, and at Stanford University, California.B SrikrishnaB Srikrishna received the BTech degree in electronics and communication engineering from the Indian Institute of Technology, Madras, India in 1996 and the MS and PhD degrees in electrical and computer engineering from Rice University, Houston, TX, USA in 1998 and 2001 respectively. He worked as a Senior Engineer at Qualcomm, Inc., Campbell, CA, USA from June 2001 to March 2003 on wideband code-division multiple access (WCDMA) modem design. Since May 2003, he is at the Indian Institute of Technology, Madras, as Assistant Professor in the Department of Electrical Engineering. His current research interests include high-speed wireless packet data systems, adaptive modulation and coding for wireless systems, cellular network optimization, multiple access communications and information theory.