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The adaptive-network-based computational verb inference system (ANCVIS) is a kind of computational verb inference system implemented in adaptive networks. In this paper, a new type of ANCVIS, which uses trend-based computational verb similarities, is presented, and its learning algorithm is derived. Simulations show that the proposed model can tune system parameters well and yield reasonable results...
As the number of Web service providers grows, redundancy becomes prevalent with many WS providers offering the same or similar services. Many models have been proposed to measure the QoS (quality of service). This paper is trying to address the Web service ranking problem based on QoS. A Web service relevancy ranking algorithm based on QoS parameters has been presented for the purpose of finding the...
The semantic structure of scene is important information used for interpretation of object behavior or event detection in video surveillance system. In this paper, we propose an automatic method for learning models of semantic region by analyzing the trajectories of moving objects in the scene. First, the trajectory is encoded to represent both the position of the object and its instantaneous velocity...
A computerized classification based on morphologic and texture features is proposed to increase the accuracy of the ultrasonic diagnosis of breast tumors. Firstly, tumor boundaries are obtained with the gray-level threshold segmentation algorithm and the dynamic programming method. Then five morphologic features and two texture features are extracted. Finally, an artificial neural network with the...
This paper investigates the effective coverage problem over an n-dimensional space of a mobile sensor system. We assume the sensor agent in the system has limited sensing range and communication range. We define the effective coverage problem as to achieve the maximum coverage and total communication distance minimized. We proposed decentralized control law to deploy mobile sensors achieve coverage...
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