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Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained...
Early prediction of ongoing human activity has become more valuable in a large variety of time-critical applications. To build an effective representation for prediction, human activities can be characterized by a complex temporal composition of constituent simple actions and interacting objects. Different from early detection on short-duration simple actions, we propose a novel framework for long...
In the context of endogenous network formation, we study strategic interaction among players within k-neighborhood. Based on the myopic best response rule, players choose action and establish links with other players by unilaterally investing in costly pair wise links in the evolution of networks. First, we characterize the equilibrium networks and describe the impact of the link cost on the equilibrium...
In this paper, the optimal bandwidth allocation scheduling problem for two-layer networked learning control systems (NLCSs) is studied. In NLCS, multiple networked feedback control loops share a common communication channel and they compete to bid for available bandwidth. A non-cooperative game fairness model is first formulated, which takes into consideration of a number of factors, such as transmission...
A wearable sensor network is developed to track the human joint motion with high accuracy. One sensor unit consists of an accelerometer and a miniature linear sensor. We design one motion-based interface based on the wearable sensor network, in which users can control the virtual characters in both a video game and an online virtual environment (Second Life) by moving their wrists and knees. Based...
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