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Mo Sha - IEEE Xplore Author Profile
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Mo Sha

Also published under: M. Sha

Publications
43
Citations
1,268
Publications by Year
20072024
Co-Authors:
Show All Co-Authors (77)
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Mo Sha

Also published under: M. Sha

Affiliation

Knight Foundation School of Computing and Information Sciences
Florida International University
Miami, FL

Publication Topics

Biography

Mo Sha (Member, IEEE) received the B.Eng. degree from Beihang University, Beijing, China, the M.Phil. degree from the City University of Hong Kong, Kowloon Tong, Hong Kong, and the Ph.D. degree in computer science from Washington University, St. Louis, MO, USA, in 2007, 2009, and 2014, respectively .,He is an Assistant Professor in the Department of Computer Science at Binghamton University-The State University of New York, Binghamton, NY, SA. His research interests include cyber-physical systems, wireless sensor networks, embedded systems, as well as their applications to smart energy, smart home, wireless health, and industrial process automation.(Based on document published on 7 December 2015).
Publications
43
Citations
1,268
Publications by Year
20072024
Co-Authors:
Show All Co-Authors (77)
Author's Published Works

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Optimization of sensorless induction motor speed regulation system based on Quantum Genetic Algorithm

Gu Meihua;Xu Haifeng;Lin Jinxing

The 27th Chinese Control and Decision Conference (2015 CCDC)
Year: 2015 | Conference Paper |
Cited by: Papers (1)
There are four PI controllers in induction motor vector control system when identifying motor speed using MRAS. Parameter tuning of PI controllers will influence system performance directly. To overcome the difficulty of simultaneous parameter tuning for the PI controllers, Quantum Genetic Algorithm (QGA) was used to optimize PI parameters in each loop. A fitness function is designed in this paper...Show More

Optimization of sensorless induction motor speed regulation system based on Quantum Genetic Algorithm

Gu Meihua;Xu Haifeng;Lin Jinxing

Year: 2015 | Conference Paper |

A Novel Hybrid VQ Based Algorithm for Video Encoding

Gu Meihua;Yu Ningmei;Zhu Yaolin;Zhu Lei

2009 Second International Symposium on Knowledge Acquisition and Modeling
Year: 2009 | Conference Paper |
Cited by: Papers (1)
This paper presents a novel video encoding algorithm using the technique of Hybrid Vector Quantization (HVQ). Two modes of operations are defined in the encoder part, i.e. intra-mode and inter-mode. A blended algorithm based on Mean Coding and Conventional VQ (MCCVQ) using an intra-codebook is adopted for the intra-mode of operation. In the inter-mode of operation, no-encode sub-mode is for static...Show More

A Novel Hybrid VQ Based Algorithm for Video Encoding

Gu Meihua;Yu Ningmei;Zhu Yaolin;Zhu Lei

Year: 2009 | Volume: 2 | Conference Paper |

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