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Application of the Rough Set to Image Median Denoising

Application of the Rough Set to Image Median Denoising

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Chen Bo Geng Zexun Yang Yang Liu Xiaosong Institute of Surveying and Mapping Information and Engineering University Zhengzhou China Department of Teaching and Research Guilin Air Force Academy Guilin China

Image denoising that is a kind of basal pre- treatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.

关键词： Noise reduction Image denoising Visual effects Partitioning algorithms Software engineering Artificial intelligence distributed computing Application software Programmable logic arrays Uncertainty

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Processing Global Nearest Neighbor Query

Processing Global Nearest Neighbor Query

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Liu Xiaofeng Chen Chuanbo Liu YunSheng School of Software Engineering Huazhong University of Science and Technology China

This paper presented a new kind of query, global nearest neighbors query, which is based on a special distance, global distance, between two objects during given time interval. According to the relationship with continuous nearest neighbor query, a native algorithm is proposed. In terms of the mobility of data set, global distances at different situation are refined and some heuristics are presented for data set indexed by data structure of R tree family. Based on branch and bound technique and proposed pruning, updating and visiting heuristics, recursive depth-first and heap-based best- first query processing algorithms are developed for both cases. An extensive study based on experiments performed with synthetic data sets shows that the best- first algorithms outperform the depth-first algorithms.

关键词： Nearest neighbor searches Cellular neural networks Query processing Chromium Software engineering Artificial intelligence distributed computing Tree data structures Wireless communication Tellurium

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Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems

Assessment on Fault-tolerance Performance Using Neural Netwo...

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Zhisheng Zhang Yaming Sun School of Automation Engineering Qingdao University of China Qingdao China School of Electrical and Automation Engineering Tianjin University TJU Tianjin China

This paper presents a model based on neural network optimized by the ant colony optimization algorithm (ACOA) for fault section diagnosis in distribution systems of electric power systems, and the simulation results show that it can effectively improve the fault-tolerance ability of fault section diagnosis. It had better fault-tolerance ability in contrast with the BP-NN model and the DGA-NN model. It must be pointed out that the improvement degree is correlative with the space distribution of samples, and it isn 't the essential improvement, but it is the potential mining of neural network.

关键词： Fault tolerant systems Neural networks Power system modeling Ant colony optimization Fault diagnosis Fault tolerance Artificial intelligence Automation distributed computing Software algorithms

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Artificial Immunity-Based Feature Extraction for Spam Detection

Artificial Immunity-Based Feature Extraction for Spam Detect...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Burim Sirisanyalak Ohm Sornil Department of Computer Science National Institute of Development Administration Bangkok Thailand

Spam is considered a significant security problem for computer users everywhere. Spammers exploit a variety of tricks to conceal parts of messages that can be used to identify spam. This paper presents an email feature extraction technique based on artificial immune systems. The method extracts a relatively small set of features that can be used as inputs to a classification model. A Backpropagation neural network is employed as the spam detection model. The performance evaluation against a standard spam collection and reference systems shows that the proposed approach performs well compared to other systems with large sets of features, rules, or external evidences. The detection rate of the best system in the study is 92.4 %, with 1 % and 13.8 % of false positive and false negative rates, respectively.

关键词： Feature extraction Unsolicited electronic mail Immune system Filters Artificial immune systems Pathogens distributed computing Computer security Computer networks HTML

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Analysis of Communication Traffic Characteristics of Two-hop-relay Cellular System in the Dead Spots

Analysis of Communication Traffic Characteristics of Two-hop...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Wei-feng Lu Meng Wu Communication and Information Engineering Institute Nanjing University of Posts and Telecommunications Nanjing China

In traditional cellular systems, the call requests initiated by mobile stations (MSs) must be carried through a base station (BS) via the cellular interface, but when MSs are located in the dead spots, their call requests will be blocked because the MSs cannot communicate with the BS. It is considered to relay these blocked communication traffic by using ad hoc relaying, which will improve the performance of the system as a whole. This paper firstly introduces a novel architecture of two-hop-relay cellular system, and analyzes the communication traffic characteristics of the traditional cellular system and two-hop-relay cellular system respectively in the dead spots environment. Numerical results show that the two-hop- relay cellular system outperforms the traditional cellular system in terms of the call blocking rate when considering the impact of dead spots.

关键词： Relays Cellular networks Mobile communication Performance analysis Telecommunication traffic GSM Multiaccess communication Software engineering Artificial intelligence distributed computing

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Coal Thickness Prediction Based on Support Vector Machine Regression

Coal Thickness Prediction Based on Support Vector Machine Re...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Li Zhengwei Xia Shixiong Niuqiang Xia Zhanguo School of Computer Science and Technology China University of Mining and Technology Xuzhou Jiangsu China China University of Mining and Technology China

A novel method based on support vector machine for coal thickness prediction through seismic attribute technology is proposed in this paper. Based on SVM which embodies the structural risk minimization principle, the proposed method is more generalized in performance and accurate than artificial neural network which embodies the embodies risk minimization principle. In order to improve prediction accuracy, grid search and cross-validation are integrated in this paper to select SIM parameter. Error analysis of predicting coal thickness is carried out to prove that SIM could achieve greater accuracy than the BP neural network.

关键词： Support vector machines Risk management Artificial neural networks Support vector machine classification Artificial intelligence Learning systems Kernel Equations Software engineering distributed computing

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A Composition Approach to Mutual Exclusion Algorithms for Grid Applications

A Composition Approach to Mutual Exclusion Algorithms for Gr...

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international conference on parallel Processing (ICPP)

作者： Julien Sopena Fabrice Legond-Aubry Luciana Arantes Pierre Sens INRIA Rocquencourt LIP6-Université de Paris 6 Paris France

We propose a new composition approach to mutual exclusion algorithms for applications spread over a grid which is composed of a federation of clusters. Taking into account the heterogeneity of communication latency, our hierarchical architecture combines intra and inter cluster algorithms. We focus on token-based algorithms and study different compositions of algorithms. Performance evaluation tests have been conducted on a national grid testbed whose results show that our approach is scalable and that the choice of the most suitable inter cluster algorithm depends on the behavior of the application.

关键词： Clustering algorithms Delay Topology Testing Wide area networks Large-scale systems Computer applications distributed computing Grid computing Local area networks

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Modeling Cooperative Problem Solving Process with Extended Alternating-time Temporal Logic

Modeling Cooperative Problem Solving Process with Extended A...

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ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Zhengyuan Ning Xianwei Lai Shanli Hu Qingqing Zhan Computer and Information College Fujian Agriculture and Forestry University China Department of Computer Science and Technology Fuzhou University China

The paradigm example of social interaction is cooperative problem solving, in which a group of autonomous agents choose to work together to achieve a common goal. In order to improve existing work on developing formal computing model for cooperative problem solving in multi-agent systems, several efforts are made in this paper. Firstly, a new multi-agent cooperation logic called ATI-BDI designed in our previous work is enhanced so as to make it more suitable for modeling cooperative problem solving. Secondly, basing on ATI-BDI, the cooperative problem solving process is formally described. The corresponding new computing models of cooperation recognition, team formation, plan formation and execution are developed. The iteration of these steps is also well considered. Several important properties are gained and proved finally.

关键词： Problem-solving Logic design Artificial intelligence distributed computing Autonomous agents Multiagent systems Contracts Protocols Software engineering Computer networks

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Experimental Investigation of the Fault Tolerance of IDS Models

Experimental Investigation of the Fault Tolerance of IDS Mod...

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IEEE international conference on Fuzzy Systems (FUZZ-IEEE)

作者： Masayuki Murakami Nakaji Honda Department of Systems Engineering University of Electro-Communications Chofu Tokyo Japan

The ink drop spread (IDS) method is a modeling technique that is proposed as a new paradigm of soft computing. The structure of IDS models is similar to that of artificial neural networks (ANNs): they comprise distributed processing units. The beneficial property of fault tolerance is obtained when such parallel processing networks are implemented with dedicated hardware. Among the ANNs, radial basis function networks (RBFNs) are known to possess superior fault tolerance. This study evaluates the fault tolerances of the IDS models and RBFNs using the approximation of continuous functions. The experimental results demonstrate that the IDS models are highly fault tolerant in comparison with the RBFNs.

关键词： Fault tolerance Intrusion detection Fault tolerant systems Hardware Degradation distributed processing parallel processing Redundancy Ink Artificial neural networks

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Message Dissemination under the Multicasting Communication Mode

Message Dissemination under the Multicasting Communication M...

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IEEE international conference on parallel and distributed computing, Applications and Technologies (PDCAT)

作者： Teofilo F. Gonzalez Department of Computer Science University of California Santa Barbara USA

We discuss algorithms, complexity issues, and applications for message dissemination problems under the multicasting communication mode. These problems arise while executing in a parallel or distributed computing environment iterative methods for solving scientific computation applications, dynamic programming procedures, sparse matrix multiplication, etc. Our message communication problems also arise when disseminating information over ad-hoc wireless networks. Given a communication environment and a set of messages that need to be exchanged, the message dissemination problem is to find a schedule to transmit all the messages in the least total number of communication rounds. Generating an optimal communication schedule (with the least total number of communication rounds) for message dissemination problems over a wide range of communication environments is an NP-hard problem. To cope with intractability efficient message dissemination approximation algorithms have been developed for different types of communication environments and message communication patterns (the communications that must take place). The communication environment consists of the communication network (the direct communications allowed for each processor), primitive operations (the basic communication operations allowed by the system), and the communication model (possible operations during each communication round or step). Our goal is to present scattered research results developed during the last decade to establish that the multicasting (one-to-many) communication environment is a powerful communication primitive that allows for solutions that are considerable better than those achievable under the telephone (or one-to-one) communication environment. The multicasting communication environment has been available for quite some time in parallel computing systems. We also establish that, within the multicasting communication mode, forwarding plays an important role by allowing solutions that a

关键词： distributed computing Multicast algorithms Iterative algorithms Iterative methods Computer applications Concurrent computing Dynamic programming Sparse matrices Wireless networks Processor scheduling

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