A processes composed of sequences of local cyclic The theoretical prediction of the behavioral properties of periodic structures is less difficult than in the case of nonperiodic ones. That is because all the informat...
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This paper presents a mathematical model, the theoretical basis and an outline of a computer module system supporting scheduling of transportation and assembly of composite beam bridge structures implemented in the ju...
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A real-time vehicle tracking method is proposed for trattlC monitoring system at roau mte^cc- tions, and the vehicle tracking module consists of an initialization stage and a tracking stage. Li- cense plate location b...
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A real-time vehicle tracking method is proposed for trattlC monitoring system at roau mte^cc- tions, and the vehicle tracking module consists of an initialization stage and a tracking stage. Li- cense plate location based on edge density and color analysis is used to detect the license plate re- gion for tracking initialization. In the tracking stage, covariance matching is employed to track the license plate. Genetic algorithm is used to reduce the computational cost. Real-time image tracking of multi-lane vehicles is achieved. In the experiment, test videos are recorded in advance by record- ers of actual E-police systems erage false detection rate and at several different city intersections. In the tracking module, the av- missed plates rate are 1.19%, and 1.72%, respectively.
In order to intensify recycling, increase economic efficiency, improve environmental characteristics and consumer properties of polymer products, a functional structure of a computer system is proposed for complex tra...
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The advantages of Variable Step Search algorithm - a simple local search-based method of MLP training is that it does not require differentiable error functions, has better convergence properties than backpropagation ...
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The paper proposes a predictive control for speed trajectory design and tracking in urban area. In the method the urban area is divided into speed zones, in which the reference speed for the automated vehicle is deter...
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The problem of determining soil parameters is considered. Their exact knowledge is of great importance for planning and managing water systems, assessing the possible size of catastrophic floods, etc. These parameters...
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This article concerns the hardware iterative decoder for a subclass of LDPC (Low-Density Parity-Check) codes that are implementation oriented. They are known as Architecture Aware LDPC (AA-LDPC). The decoder has been ...
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The paper deals with the application of multispectral imaging to estimate steel quality directly after it is produced in the steelworks. In particular, thermal and visual cameras are used to estimate FeO content in th...
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Deep learning frameworks promote the development of artificial intelligence and demonstrate considerable potential in numerous ***,the security issues of deep learning frameworks are among the main risks preventing th...
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Deep learning frameworks promote the development of artificial intelligence and demonstrate considerable potential in numerous ***,the security issues of deep learning frameworks are among the main risks preventing the wide application of *** on deep learning frameworks by malicious internal or external attackers would exert substantial effects on society and *** start with a description of the framework of deep learning algorithms and a detailed analysis of attacks and vulnerabilities in *** propose a highly comprehensive classification approach for security issues and defensive approaches in deep learning frameworks and connect different attacks to corresponding defensive ***,we analyze a case of the physical-world use of deep learning security *** addition,we discuss future directions and open issues in deep learning *** hope that our research will inspire future developments and draw attention from academic and industrial domains to the security of deep learning frameworks.
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