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International Conference on Applications of Modal Analysis '99: Recent Advances in Modal Analysis Practice
Health Information Technologies (HIT) are being deployed world- wide to improve access to individual patient information. Primarily this is through the development of electronic health records (EHR) and electronic medical records (EMR). While the proper collection of this data has reached a high level of maturity, the use and analysis of it is only in its infancy. This data contains information which can potentially improve treatment for the individual patient and for the cohort of patients suffering a similar disease. The data can also provide valuable information for broader research purposes. In this paper we discuss the research contributions we are making in improving the use and analysis of patient data. Our projects include the analysis of physiological data, the extraction of information from multi-modal data types, the l...
Wireless Sensor Network (WSN) is becoming a more and more popular research area since its emergence. Many WSN researches rely on practical experiments in real wireless networks. However, to setup and conduct such an experiment is always cumbersome and time-consuming. So in this thesis, we design and implement a WSN testbed to solve the problem and help user focus on their researches. Our testbed provides necessary modules and service, such as command dissemination and feedback module, data logging and collection module, network programming module and time synchronization service. Different from other existing testbeds, our testbed removes wire connections and gateways, which are used for transmitting commands, feedbacks and users’ programs, between nodes so that it provides high flexibility in deployment and reduces costs. This testbed...
This paper describes our participation in the INEX 2008 Link the Wiki track. We focused on the file-to-file task and submitted three runs, which were designed to compare the impact of different features on link generation. For outgoing links, we introduce the anchor likelihood ratio as an indicator for anchor detection, and explore two types of evidence for target identification, namely, the title field evidence and the topic article content evidence. We find that the anchor likelihood ratio is a useful indicator for anchor detection, and that in addition to the title field evidence, re-ranking with the topic article content evidence is effective for improving target identification. For incoming links, we use exact match and retrieval method with language modeling approach, and find that the exact match approach works best. On top of t...
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