Title: 1. Second Generation RFID Integration
2. Biomedical sensor networks
Place: 301-520
Date: 2009-2-19 (Thur)
Time: PM 4:00 ~ 6:00 (2 hours)
(This seminar will be held internally)
======= 1: 4pm-5pm, 2/19 =========
Seminar Topic: Second Generation RFID Integration
Presenter:
Min Chen: Post-doc, Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada. Post-doc in MMLab, SNU from Oct. 2004 to Feb.2006.
Abstract: Emerging as an important technology, radio frequency identification (RFID) has been given more and more attention. The capability is further extended when it is incorporated with other technologies, revolutionizing a wide range of applications. In this paper, we summarize existing integration methods for RFID networks and introduce a new architecture, which we refer to as second-generation RFID integration. All of the RFID integration solutions generate corresponsive actions based on the information of the object attached by a RFID tag and the services provided by the other technologies, such as wireless networking, IP networks, video surveillance system and sensor networks. First-generation RFID integration utilizes passive information about the object, such as identification and/or description information stored in the RFID tag. And the action decision is made relying on pre-established rule database. However, the static rule database can not be updated in timely fashion for new object types and/or environmental dynamics, which causes a ‘synchronization problem’. The proposed second generation RFID integration introduces code information dynamically stored in the RFID tag, facilitating guiding other systems to perform on-demand actions for different objects in different situations.
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======== 2: 5pm-6pm, 2/19 ========
Seminar Topic: Biomedical sensor networks
Presenter:
Xuedong Liang: Research fellow, the Interventional Centre, Rikshospitalet Hospitalet (the National Hospital of Norway), Oslo, Norway Visiting researcher, Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
Abstract: Wireless sensor networks (WSNs) have numerous potential applications in the field of medical care, where a set of QoS requirements (e.g., end to end delay, packet delivery ratio and communication bandwidth) on network performance must be satisfied. In this presentation, firstly, the current research status of WSNs in medical applications (including the study of WSNs at the Sensor Group in the National Hospital of Norway) is presented. Secondly, the prevailing methods of QoS provisioning for WSNs are discussed and analyzed. Then, the use of computer machine learning/reinforcement learning and cooperative communication in the design and implementation of QoS support communication protocol are presented. Finally, a clip of video of biomedical sensor networks deployed in medical applications (animal heart operation in the National Hospital of Norway) will be shown.
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