The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have establ...
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The purpose of this paper is to present a modified version of the ant colony system (ACS) algorithm. The modified ACS algorithm is faster and it has a better performance than the standard ACS algorithm. We have established a set of local rules/modifications, that do improve the performance of the standard ACS and these are reported here.
The increasing complexity, heterogeneity and dynamism of networks, systems, services applications have made our computational/information infrastructure brittle, unmanageable and insecure. This has necessitated the in...
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In traditional internal combustion engines, a camshaft acts on the valve stems to open and close the valves. Valve timing is fixed relative to piston position. On the other hand, if a valve is flexibly controlled by a...
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In this research it is claimed that engineering education increases the positivistic tendencies of students regarding to the social problems. A theoretical background is given in the introduction and literature review...
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作者:
Tzouvaras, VassilisStamou, GiorgosKollias, StefanosImage
Video and Multimedia Laboratory Institute for Computer and Communication Systems Department of electrical and Computer Engineering National Technical university of Athens Greece
Fuzzy relations as representational tools and fuzzy compositional operators as reasoning components, are user in this paper in order to represent knowledge expressed in semantic rules. Furthermore, neural representati...
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The capacity to generalize is the most important characteristic in neural networks. However, the generalization capacity is lost when over-fitting occurs during the neural network training process; i.e., although the ...
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The capacity to generalize is the most important characteristic in neural networks. However, the generalization capacity is lost when over-fitting occurs during the neural network training process; i.e., although the error after the training process is very small, when new data is presented to the neural network the error is large. An approach aiming to improve the neural network generalization capacity is presented in this work.
An approach aiming to formulate the mobile network resource allocation problem is proposed here. In order to formulate the resource allocation problem, the way network resources are to be counted is defined. Then, the...
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An approach aiming to formulate the mobile network resource allocation problem is proposed here. In order to formulate the resource allocation problem, the way network resources are to be counted is defined. Then, the resource allocation problem is expressed as a multidimensional knapsack problem. The knapsack problem is relaxed and a constrained optimisation linear programming problem is obtained. A series of pseudo-utility values is obtained from the solution of the linear programming problem. The pseudo-utility values are used to establish an order by which the calls/terminals/users are to be attended by the network.
Research on networked applications that utilize multimodal information about their users' current emotional state are presently at the forefront of interest of the computer vision and artificial intelligence commu...
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The paper is a contribution to the studies of factors that can affect electric (E) and magnetic (H) fields associated with lightning return strokes to tall structure. Herein, the influence of lightning channel inclina...
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This paper presents a VLSI ASIC design of a high-throughput processing element for real-time particle filtering applications. The implementation is based on robust and efficient fixed-point processing algorithms. The ...
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