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Web-Based Scalable Intelligent Multimedia Virtual Laboratory for Power Engineering

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Conference

2015 ASEE Annual Conference & Exposition

Location

Seattle, Washington

Publication Date

June 14, 2015

Start Date

June 14, 2015

End Date

June 17, 2015

ISBN

978-0-692-50180-1

ISSN

2153-5965

Conference Session

NSF Grantees’ Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

17

Page Numbers

26.1714.1 - 26.1714.17

DOI

10.18260/p.25050

Permanent URL

https://peer.asee.org/25050

Download Count

67

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Paper Authors

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Ning Gong ECE Department of Temple University

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Ning Gong is currently a third year PhD student in Electrical and Computer Engineering at Temple University. His research is focused on Computer Network and Control Theories. He is particularly interested in network topologies and resilience control applications. Before coming to Temple University, he graduated in Polytechnic Institute of New York University with his M.S degree. Currently he is a Graduate Research Assistant in the department. He can be contacted at: ning.gong@temple.edu.

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Brian P. Butz Temple University

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Dr. Brian P. Butz is a Professor Emeritus of Electrical and Computer Engineering at Temple University, Philadelphia, PA. In 1987, Professor Butz founded the Intelligent Systems Application Center (ISAC) which provided a focal point within Temple University for research in intelligent systems. Professor Butz's research efforts focused on expert/knowledge-based systems and intelligent tutoring systems. He has been the Principal Investigator for several projects that immerse users into a particular virtual environment in which they are able to learn both theory and application within a specific subject area. From 1989 through 1996, Professor Butz was the Chair of the Electrical and Computer Engineering Department at Temple University. He has written many papers on intelligent systems and has received several teaching awards including the Christian R. and Mary F. Lindback Award for Distinguished Teaching and the Temple University Great Teacher Award. He is a m a Life Senior Member of the IEEE.

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Saroj K Biswas Temple University

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Saroj Biswas is a Professor of Electrical and Computer Engineering at Temple University specializing in electrical machines and power systems, multimedia tutoring, and control and optimization of dynamic systems. He has been the principle investigator of a project for the development of an intelligent tutoring shell that allows instructors create their own web-based tutoring system. His current research focuses on security of cyber-physical systems based on multiagent framework with applications to the power grid, and the integration of an intelligent virtual laboratory environment in curriculum. He is an associate editor of Dynamics of Continuous, Discrete and Impulsive Systems: Series B, and is a member of IEEE, ASEE, and Sigma Xi.

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Li Bai Temple University

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Dr. Li Bai is a Professor in the ECE department, Temple University. He received his B.S. (1996) from Temple University, M.S. (1998) and Ph.D. (2001) from Drexel University, all in Electrical Engineering. He was a summer research faculty in AFRL, Rome, NY, during 2002–2004 and the Naval Surface Warfare Center, Carderock Division (NSWCCD), Philadelphia, PA, during 2006–2007. His research interests include video tracking, level 2+ information fusion, array signal processing and multi-agent systems, wireless sensor network and dependable secure computing. His research has been supported by Office of Naval Research, Department of Transportation, U.S. Department of Commerce’s Economic Development Administration (EDA), National Science Foundation, U.S. Army and Exxon Mobil, etc. Also, Dr. Bai served as the Chair of the IEEE Philadelphia Section in 2007 and was Young Engineer of the Year in Delaware Valley, IEEE Philadelphia Section in 2004.

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Daniel J Douglas Temple University

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Daniel Douglas is an undergraduate student of Electrical and Computer Engineering at Temple University. He is interested in research opportunities involving machine learning, power systems, and software applications. His long term goal is a career in power and energy systems engineering.

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Abstract

WEB BASED SCALABLE INTELLIGENT MULTIMEDIA VIRTUAL LABORATORY FOR POWER ENGINEERING Ning Gong Brian Butz Saroj Biswas Li Bai Department of Electrical and Computer Engineering Temple University, Philadelphia, PA19122 AbstractA laboratory practicum is considered a key component of engineering education. However ahands-on approach is often ignored for courses involving electrical machines because of safetyissues, expense, and lack of qualified teaching assistants. When the advantages of combiningcurrent internet and web-based technologies with educational purposes are considered, a web-based virtual power laboratory offers a possible, positive alternative to providing physicaltraining and learning materials.This paper presents the planning and development of a web based application that can simulate avirtual laboratory for electric machines. This virtual laboratory application is developed on auniversal web-based platform that can be accessed anywhere by most mobile devices andstandard computers. The planned architecture of the virtual laboratory consists of eight modules:1) a Core Concept Knowledge Base, 2) an Experiment Knowledge Base, 3) MathematicalTools, and 4) a Virtual Instrumentation Core that are interfaced with 5) the StudentInteraction Module through 6) a Multimedia Graphical User Interface Module. Thesemodules are managed and authenticated by 7) a Scalable User Management Module, whichwill be monitored by 8) an Intelligent Tutoring Module. The graphical user interface (GUI)enables students to simulate electrical machines under different operating conditions. The virtuallaboratory will be supervised by a virtual Intelligent Tutor that can track the students’ progress,monitor the students’ actions and answer questions from the students.As a proof of concept, nine virtual experiments have been developed for DC generators andmotors. Machine concepts are summarized using text, 2D and 3D graphics as well as multimediaanimation. The animated GUI plays an important role in this system as it enables students toreview and retain basic concepts and builds a bridge from the virtual to the real laboratory.Multimedia is incorporated in this project to provide convenient visual and aural guidance forstudents to better understand power generators and machines. Students will be guided andsupervised by an intelligent tutor to: learn basic concepts, answer pre-laboratory questions,practice in virtual experiments and compose laboratory reports.The virtual power laboratory provides schools and colleges, which do not have physicalequipment, with an alternative way to train student with experimental concepts of electricalmachines. This application can also be used by students as a safe test bed for gaining hands-onskills before encountering with any real power equipment. Moreover, various interfaces andmodules developed in this application have been evaluated and tested to be user friendly anduseful learning auxiliary tools, and can be used for developing intelligent virtual laboratories forother engineering courses.Key Words: Virtual Power Laboratory, Generator/Motor, Animation, Web Application,Intelligent Tutor, User Management.

Gong, N., & Butz, B. P., & Biswas, S. K., & Bai, L., & Douglas, D. J. (2015, June), Web-Based Scalable Intelligent Multimedia Virtual Laboratory for Power Engineering Paper presented at 2015 ASEE Annual Conference & Exposition, Seattle, Washington. 10.18260/p.25050

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