Dr. Li-Minn Ang received his Ph.D. from Edith Cowan University, Australia in 2001. He was an Associate Professor at the University of Nottingham (Malaysia) and is currently a research fellow at Edith Cowan University. His research interests include visual information processing, hardware architectures, reconfigurable computing, sensor networks, and engineering education. He has published over 100 journal and conference papers in these areas, and has received research grants from the Malaysian government and industry. Dr. Ang is a Fellow of the Higher Education Academy (UK).
Dr. Kah Phooi Seng received her Ph.D. from the University of Tasmania, Australia in 2001. She was an Associate Professor at the University of Nottingham (Malaysia) and is currently a professor in Sunway University, Malaysia. Her research include intelligent visual processing, biometrics and multibiometrics, artificial intelligence, signal processing, and wireless sensor systems. She has published over 100 journal and conference papers in these areas, she has received research grants from the Malaysian government and industry, and she has served as a reviewer for several journals and conferences.
Dr. Li Wern Chew received her Ph.D. from the University of Nottingham in 2007. Her research interests include signal and visual information processing, and hardware architectures. She is currently a member of the Intel Architecture Group in Intel Corporation, Malaysia.
Dr. Lee Seng Yeong received his Ph.D. in 2013 from the University of Nottingham (Malaysia). He is currently a lecturer at Sunway University, Malaysia. His research interests include embedded visual processing and wireless sensor systems.
Dr. Wai Chong Chia received his Ph.D. in 2013 from the University of Nottingham (Malaysia). He is currently a lecturer at Sunway University, Malaysia. His research interests include image and video processing, wireless sensor networks, andembedded systems.
1 Электронные книги Li Wern Chew
Li-minn Ang & Kah Phooi Seng: Wireless Multimedia Sensor Networks on Reconfigurable Hardware
Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology i …
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