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We develop a system called POVA for traffic light sensing in large-scale urban areas, where traffic light sensing aims to detect the status of traffic lights which is valuable for many applications such as traffic management, traffic light optimization and real-time vehicle navigation. The system employs pervasive probe vehicles that just report real-time states of position and speed from time to...
Several variance analysis methods that are used in fault localization based on program behaviors were analyzed and compared. None of these methods takes into account the features of object-oriented programs, thus, could not be used accurately in fault localization in object-oriented programs. The present study proposed that when doing variance analysis, object behaviors could be described by using...
In this paper, the framework of finding abnormal behaviors based on patterns was proposed, including preparing data, extracting patterns and finding abnormal behaviors. Then, data preprocessing was introduced in the process of finding patterns, the standard of patterns was defined, the mining algorithm of abnormal behaviors was put forward, and the implementation procedure was described in detail...
Too many polygon faces were produced if complicated cad model converts to virtual reality model while making use of the current data interface, it failed to meet with the real time requirement in virtual reality environment. In order to decreasing the number of the polygon faces at a proper precision of geometry model, the method was introduced to get the points data at the boundaries in the B-rep...
Reverse engineering is the process of converting a large measured point cloud into a CAD model. The key issue is segmentation, i.e. how to subdivide the point cloud into smaller regions, where each of which can be approximated by a single surface. This paper presents segmentation algorithm based on adaptive fuzzy c-elliptotype clustering for point cloud in reverse engineering. Fuzzy c-planes clustering...
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