This study presents a data segmentation method, which was intended to improve the performance of the k-nearest neighbours algorithm for making short-term traffic volume predictions. According to the introduced method,...
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This study presents a data segmentation method, which was intended to improve the performance of the k-nearest neighbours algorithm for making short-term traffic volume predictions. According to the introduced method, selected segments of vehicle detector data are searched for records similar to the current traffic conditions, instead of the entire database. The data segments are determined on the basis of a segmentation procedure, which aims to select input data that are useful for the prediction algorithm. Advantages of the proposed method were demonstrated in experiments on real-world traffic data. Experimental results show that the proposed method not only improves the accuracy of the traffic volume prediction, but also significantly reduces its computational cost.
This paper proposes a fuzzy expert system scheme for foot CT image segmentation. Our method aims at decomposing a fractured foot bone into each of fragments and normal bones, as a framework of developing a computer-ai...
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This paper proposes a fuzzy expert system scheme for foot CT image segmentation. Our method aims at decomposing a fractured foot bone into each of fragments and normal bones, as a framework of developing a computer-aided orthopedic surgery planning system. It employs fuzzy knowledge representation to express orthopedic surgeon's knowledge: knowledge of distance to extract fragments and knowledge of intensity distribution to decompose adjoining normal bones on the articular cartilage. The two types of knowledge are compiled to a total degree, which is evaluated in the segmentation procedure. Qualitative evaluation of an orthopedic surgeon shows that our method could correctly segment the bones and fragments. (C) 2001 Elsevier Science B.V. All rights reserved.
In the paper an efficient and accurate method, based on the multimode-admittance-matrix representation and the theory of cavities, is proposed for the analysis of a six-port 'cubic' junction composed of the or...
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In the paper an efficient and accurate method, based on the multimode-admittance-matrix representation and the theory of cavities, is proposed for the analysis of a six-port 'cubic' junction composed of the orthogonal intersection of three rectangular waveguides. Very simple closed-form analytical expressions are explicitly detailed for all matrix elements of this basic key building block. More general waveguide multiport junctions, composed of a central cubic junction with arbitrarily shaped waveguide access ports, are also studied using a segmentation procedure. To validate the theory, numerical results are first discussed for a standard rectangular waveguide six-port cross junction. Finally, the analysis method proposed is also successfully applied to H- and E-plane T-junctions whose side arms are waveguides with rounded corners.
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