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Probe car system is used to provide real-time traffic information for telematics service. Although probe car technology is a well-known technology, how to appropriately evaluate the accuracy of a probe car system is still an unsolved issue. This paper compares several methods that are applied in the evaluation of probe car system. The shortcoming of each method is shown through data analysis of field...
For analog circuits, the current source is one of the most essential functions, and variation of its characteristic seriously influences to the accuracy of the performance. This paper presents a new methodology for analyzing the layout dependency of the variation of the current source transistor. We employ a current-driven D-A converter to investigate the dependency of the current source upon the...
Monte-Carlo (MC) simulation is still the most commonly used technique for yield estimation of analog integrated circuits, because of its generality and accuracy. However, although some speed acceleration methods for MC simulation have been proposed, their efficiency is not high enough for MC-based yield optimization (determines optimal device sizes and optimizes yield at the same time), which requires...
Link travel time is used to represent the jam level of road. Probe car system calculates link travel time based on taxi GPS data. Basically, a taxi has two statuses: heavy taxi (with passenger) and light taxi (without passenger). By analyzing taxi GPS data and link travel time, generally, we found average link travel time generated by heavy taxi is shorter than that generated by light taxi on the...
A self-localization method through pose point matching based on omni-directional vision for autonomous soccer robot is proposed. An omni-directional camera was mounted on an autonomous soccer robot to take 360deg images of competition ground around the robot. First, the feature points of the white lines were extracted through the calculation of the changes of brightness on the ground. Then, the feature...
In order to resolve decision classification problem in multiple agents system, this paper first introduces the architecture of multiple agents system. It then proposes a support vector machines based assessment approach, which has the ability to learn the rules form previous assessment results from domain experts. Finally, the experiment are conducted on the artificially dataset to illustrate how...
In SVMs-based multiple classification, it is not always possible to find an appropriate kernel function to map all the classes from different distribution functions into a feature space where they are linearly separable from each other. This is even worse if the number of classes is very large. As a result, the classification accuracy is not as good as expected. In order to improve the performance...
The purpose of this work is to develop a method of automatic contour generation by deformable registration on four-dimensional CT data. Firstly, a region of interest was manually delineated by a physician on a reference phase. Then deformable registration was implemented to acquire the spatial relationship between different phases. The contour on the reference phase was mapped into all other phases...
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