It has become a trend to integrate automatic industries via Internet and wireless applications over network. Along with the advancement of technology development, research on wireless applications and remote control h...
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Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dep.ndencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem ...
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Rough set philosophy hinges on the granularity of data, which is used to build all its basic concepts, like approximations, dep.ndencies, reduction etc. Genetic Algorithms provides a general frame to optimize problem solution of complex system without dep.nding on the domain of *** is robust to many kinds of *** paper combines Genetic Algorithms and rough sets theory to compute granular of knowledge through an example of information table. The combination enable us to compute granular of knowledge *** is also useful for computer auto-computing and information processing.
In reconfigurable systems, reconfiguration latency is a very important factor impact the system performance. In this paper, a framework is proposed that integrates the temporal partitioning and physical design phases ...
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With the popularity of video broadcasting service on Internet, many significant broadcasting schemes were proposed to reduce the clients' waiting time. These schemes mostly require clients to receive video segment...
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With the popularity of video broadcasting service on Internet, many significant broadcasting schemes were proposed to reduce the clients' waiting time. These schemes mostly require clients to receive video segments altogether from all channels. As a result, clients with limited bandwidth, such as XDSL, cannot enjoy video-broadcasting services. To overcome this problem, this work proposes the adjustable interleaving staircase-harmonic broadcasting scheme (AISHB), which offers a tradeoff between any two of three resources: server bandwidth, client buffer spaces, and client bandwidth. When client bandwidth is not limited, the scheme requires a client to buffer only 25% of a playing video and the waiting time is slightly higher than the optimal waiting time. In comparison with the fast broadcasting, recursive frequency-splitting, and harmonic broadcasting, AISHB saves the buffer requirements by 50%, 33%, and 33%. If client bandwidth is restricted, AISHB achieves the smallest waiting time among all currently known broadcasting schemes.
This paper introduces a novel scheduling problem called the active interval scheduling problem in hierarchical wireless sensor networks for long-term periodical monitoring applications. To improve the report sensitivi...
This paper introduces a novel scheduling problem called the active interval scheduling problem in hierarchical wireless sensor networks for long-term periodical monitoring applications. To improve the report sensitivity of the hierarchical wireless sensor networks, an efficient scheduling algorithm is desired. Therefore, in this paper, we propose a compact genetic algorithm (CGA) to optimize the solution quality for sensor network maintenance. The experimental result shows that the proposed CGA brings better solutions in acceptable calculation time.
We examine the construction of constitutive matrices for discrete geometric approaches using nonregular hexahedra as primal volumes. A numerical investigation on the convergence and accuracy of the proposed matrices h...
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This paper focuses on the mapping strategies in the interface design for the Expression Synthesis Project (ESP). The goal of ESP is to use the metaphor of driving to allow non-experts to interactively create expressiv...
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In this paper, we address the issues related to the design of fuzzy robust principal component analysis algorithms. We formulate a fuzzy objective function for principal component analysis and derive algorithms that c...
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ISBN:
(纸本)0889865361
In this paper, we address the issues related to the design of fuzzy robust principal component analysis algorithms. We formulate a fuzzy objective function for principal component analysis and derive algorithms that can extract the appropriate principal components from the spoiled data set. Artificially generated data sets are used to evaluate the performance of the proposed principal component extraction algorithm.
The Open-domain Question Answering system (QA) has been attached great attention for its capacity of providing compact and precise results for Xsers. The question classification is an essential part in the system, aff...
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