Louisville, Kentucky
June 20, 2010
June 20, 2010
June 23, 2010
2153-5965
8
15.497.1 - 15.497.8
10.18260/1-2--16643
https://peer.asee.org/16643
372
Dr. Yongpeng Zhang received his PhD degree in Electrical Engineering from University of
Houston (2003), and then joined DSP Solutions Lab of CECSTR, Prairie View A&M University as a post-doctoral research fellow. Currently he is an Assistant Professor in Engineering Technology Department, Prairie View A&M University, Texas. His research interests are control system, power electronics, mechatronics, and real-time DSP solutions. As the 3M non-tenured faculty award recipient, his research has been funded by Army, NSF and industry.
Dr. Akujuobi is a Professor of Electrical Engineering and the founding Director of the DSP
Solutions, Mixed Signal Systems and Broadband Access Technologies Programs and Laboratories at Prairie View A&M University. He is also the founding Director of the Center of Excellence for Communication Systems Technology Research (CECSTR). His research interests include High-Speed (Broadband) Communication Systems, Mixed Signal Systems and DSP Solutions. He is also the Department Head for Engineering Technology at Prairie View A&M University.
Dr. Yonghui Wang received the B.S. degree in technical physics from Xidian University, Xan,
China, in 1993, the M.S. degree in electrical engineering from Beijing Polytechnic University,
Beijing, China, in 1999, and the Ph.D. degree in computer engineering from Mississippi State
University, Starkville, MS, in 2003. From 1993 to 1996, he was an Engineer with the 41st
Electrical Research Institute, Bengbu, China. From 2000 to 2003, he was a research assistant with the Visualization, Analysis, and Imaging Laboratory (VAIL), the GeoResources Institute (GRI), Mississippi State. He is currently an Assistant Professor with the Department of Engineering Technology, Prairie View A&M University, Prairie View, TX. His research interests include image and signal processing, and image and video coding.
Dr. Suxia Cui is an assistant professor in the department of Electrical and Computer Engineering
at Prairie View A&M University. She received her BS and MS in Electrical Engineering from Beijing Polytechnic University in 1997 and 1999, respectively. She received her Ph.D. in
Computer Engineering from Mississippi State University in 2003. Her research interests include digital signal processing, data compression, image processing, video coding, and wavelets.
Engineering Technology Laboratory Enhancement with LabVIEW
Abstract
Engineering Technology (ET) is the application of engineering principles and modern technology to help solve or prevent technical problems. The programs are designed to meet the growing need created by the technology revolution for college-educated problem solvers who can support the engineering process. Thus, the ET program is featured with its emphasis on hands-on skills training, to enable ET students to solve production and system implementation problems and help them explain solutions. Therefore, in order to cater to the industry requirements in the job market, the need for updating the educational infrastructure along with technology trend is urgent in the ET program.
In response to the recognition and support of federal agencies to make progress toward a diverse, competitive and globally engaged US workforce of scientists, engineers, technologists and well prepared citizens, as well as to better fulfill its departmental primary purpose to prepare students for a successful professional career in engineering technology and related fields, authors are now collaborating on 4 external grants, including 3 from NSF and 1 from Dept of Education, to propel the curriculum development and laboratory enhancement. And this paper introduces the current progress and following implementation strategies on the undergraduate laboratory enhancement plan.
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Zhang, Y., & Akujuobi, C., & Wang, Y., & Cui, S. (2010, June), Engineering Technology Laboratory Enhancement With Labview Paper presented at 2010 Annual Conference & Exposition, Louisville, Kentucky. 10.18260/1-2--16643
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