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Currently, the number of Web services on the Internet is growing exponentially. Faced with a large number of functionally equivalent candidate services, users always hope to select the optimal one that can provide the best QoS values. However, users usually do not know the QoS values of all the candidate services as the limited historical service invocation records. Different QoS prediction methods...
Parkinson's disease (PD) patients often suffer from the freezing of gait (FOG) problem, which interferes their daily life. In this paper, we develop an algorithm which uses fast time-frequency analysis methods and onset detection to detect FOG in real time. Simulations show that the specificity, the sensitivity, and the accuracy of the proposed algorithm is 81.83%, 82.66%, and 82.83%, respectively,...
Battlefield situational information discovery is a key part of information distribution, based on ontology model theory, this paper describes the information service concepts and relationships among them, then get battlefield situational information description in semantic level, then modify the feature weight calculation in TFIDF formula to improve the accuracy of service matching, filter out irrelevant...
Polarimetric synthetic aperture radar (PolSAR) image classification, an important technique in the remote sensing area, has been deeply studied for a couple of decades. In order to develop a robust automatic or semiautomatic classification system for PolSAR images, two important problems should be addressed: 1) incorporation of spatial relations between pixels; 2) estimation of the number of classes...
A dual-confocal auto-focus sensing module for measuring defocusing positions of specimens in laser machining systems or inspecting devices is proposed. This sensing module can improve the detecting accuracy by analyzing and fitting signals from the difference between the dual optical paths, and miniaturize the optical apparatus with the superior integrated optical design. This auto-focusing module...
Understanding human intention and performing different activities automatically is one of the key problems in pervasive computing. In this paper, a new location-based search computing framework (LoSeCo) is proposed to allow one's pervasive device to augment search devices. The objective of our problem is to recognize the real-time user goal through goal inference from traditional Wi-Fi localization...
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