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Engineering Laboratory Enhancement through Cloud Computing

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Conference

2012 ASEE Annual Conference & Exposition

Location

San Antonio, Texas

Publication Date

June 10, 2012

Start Date

June 10, 2012

End Date

June 13, 2012

ISSN

2153-5965

Conference Session

NSF Grantees' Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

8

Page Numbers

25.552.1 - 25.552.8

Permanent URL

https://peer.asee.org/21310

Download Count

40

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Paper Authors

biography

Lin Li Prairie View A&M University

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Lin Li is an Assistant Professor of the Computer Science Department at Prairie View A&M University. He received his Ph.D. in computer science from the University of Nebraska, Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences in 1996 and 1999, respectively. Currently, his research interests are in computer educational technology, green home, and network communications.

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biography

Yongpeng Zhang Prairie View A&M University

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Yongpeng Zhang received his Ph.D. 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 a tenured Associate Professor in the Engineering Technology Department, Prairie View A&M University, Texas. His research interests are control
system, power electronics, motor drive, mechatronics, etc. His research has been widely recognized and supported by multiple grants from Army, NSF, and industry.

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biography

Lei Huang Prairie View A&M University

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Lei Huang is an Assistant Professor in the Computer Science Department, Prairie View A&M University. He received his Ph.D. in Computer Science from University of Houston in 2006. His research areas are in high performance computing, cloud computing, programming model, and compiler optimizations.

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Abstract

Engineering Laboratory Enhancement through Cloud ComputingLaboratories are important to engineering and technology curricula. Through systematicallydesigned experiments, students can gain hands-on experience, enhance classroom learning, andcultivate career interests. However, traditional laboratory conduction is often restricted byvarious cost, time, and spatial reasons. Thus, how to effectively extend laboratories viacyberspace and maximize limited resources utilization has caused many researchers’ attention.In recent years, Cloud Computing technology has developed drastically, which provided an idealsolution for virtual and remote laboratory implementation. This paper presents a project currentlyconducted at the University of ABC. Using Virtual Computing Lab (VCL), a cloud computingapplication developed by North Carolina State University and IBM, the investigators made aseries of LabVIEW based engineering laboratories online. These laboratory setups greatly reducethe cost of experimental facilities, improve the lab schedule function, increase the accessibility ofequipment and courseware, and support teachers’ instructional needs. At the same time, theoriginal nature and underlying contents of the laboratories are stilled retained.This paper presents the current progress and implementation strategies of the project. A summaryof the courses impacted and a phased implementation plan are also discussed.

Li, L., & Zhang, Y., & Huang, L. (2012, June), Engineering Laboratory Enhancement through Cloud Computing Paper presented at 2012 ASEE Annual Conference & Exposition, San Antonio, Texas. https://peer.asee.org/21310

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