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Optimal computerized model for designing cellular manufacturing systems using neural network

Journal of Applied sciences 2011年第15期11卷 2837-2842页

作者： Mukattash, Adnan Idwan, Sahar Ashhab, Moh'd Sami Samhouri, Murad Matar, Izzeddin A. Department of Industrial Engineering The Hashemite University P.O. Box 150459 Zarqa 13115 Jordan Department of Computer Science and Applications The Hashemite University P.O. Box 150459 Zarqa 13115 Jordan Department of Mechanical Engineering The Hashemite University P.O. Box 150459 Zarqa 13115 Jordan Department of Software Engineering Faculty of Information Technology Petra University Queen Alia International Road P.O. Box 961343 Amman 11196 Jordan

In this study, a computerized model has been developed to obtain the optimal distribution of the machines on three cells based on Artificial Neural Network (ANN's). These networks rely on the historical input-output data to learn input output implicit mapping. They are trained using back propagation algorithm. Comparing the results with those in the literature, it has been proved that the artificial neural network is superior in finding all the possible optimal solution (s) since it gives the minimum sum of voids and/or exceptions for all the possible ways of forming three cells from n machines. Taking all the possible ways of forming the cells is of great advantage since;it will provide the designer with more flexibility. An important feature of the optimization model is that it finds the solution fast regardless the number of machines and parts. The distinct superiority of the proposed model is that, machine cells and part families are identified and done concurrently which will decrease the computational time. Results are verified with the aid of computer simulation. © 2011 Asian Network for Scientific Information.

关键词： Cellular manufacturing

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A Field Information-based System for Estimating Fish Temperature Tolerances

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Fisheries 2011年第4期20卷 10-18页

作者： J. G. Eaton J. H. McCormick B. E. Goodno D. G. O'Brien H. G. Stefany M. Hondzo R. M. Scheller Ecosystem Response Branch USA Environmental Research Laboratory U.S. Environmental Protection Agency Duluth MN 55804 USA Computer Sciences Corporation Duluth MN 55804 USA Department of Civil and Mineral Engineering University of Minnesota Minneapolis MN 55414 USA Science Applications International Corporation Duluth MN 55804 USA

In 1979, Biesinger et al. described a technique for spatial and temporal matching of records of stream temperatures and fish sampling events to obtain estimates of yearly temperature regimes for freshwater fishes of the United States. This article describes the state of this Fish and Temperature Database Matching System (FTDMS), its usage to estimate thermal requirements for fishes, some proposed maximum temperature tolerances for several freshwater fish species, and the way these FTDMS-derived values relate to various laboratory test results. Although applicable to all species for which collection records exist, initial development and refinement of FTDMS has focused on estimating the maximum weekly mean temperature tolerance for 30 common fishes of the United States. The method involves extensive use of automated data processing during data incorporation, quality assurance checks, data matching, and endpoint calculation. Maximum weekly mean temperatures derived from FTDMS were always less than laboratory-determined lethal temperatures and were similar to temperature criteria obtained from laboratory data through Environmental Protection Agency (EPA) interpolation procedures. The technique is a cost-effective means of generating temperature tolerance estimates for many U.S. fish species (i.e., more than 100).

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Exploring a novel gathering method for finite element codes on the Cell/B.E. architecture 10

Exploring a novel gathering method for finite element codes ...

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Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis

作者： Jowkar, Mohammad De La Cruz, Raúl Cela, Jośe M. Department of Computer Applications in Science and Engineering Barcelona Supercomputing Center Barcelona Spain

ISBN: (纸本)9781424475575

Indirect addressing is known for being slow on conventional architectures, due to the extra step of gathering data before computations can be done. There have been proposed many methods for optimizing indirect addressing. However, these almost exclusively, merely try to change the order in which data is accessed, so as to better utilize the cache. Furthermore, vector instructions can not be used, since data is not accessed continuously, and therefore valuable processing power can not be exploited. The Cell/B.E. architecture has multiple powerful DMA engines, suitable for gathering scattered data. Unfortunately, at fine data granularity, they have several constraints which make them inefficient. In this paper, a novel solution called DMA list Interlacing (DLI) is explored, which overcomes the DMA constraints and enables the usage of vector instructions, without any extra effort. It is shown that DLI can achieve speedups of several orders of magnitude, compared to conventional processors. © 2010 IEEE.

关键词： Engines

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Unsupervised word sense disambiguation using neighborhood knowledge

PACLIC 25 - Proceedings of the 25th Pacific Asia Conference ...

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PACLIC 25 - Proceedings of the 25th Pacific Asia Conference on Language, Information and Computation 2011年 333-342页

作者： Heyan, Huang Zhizhuo, Yang Ping, Jian Beijing Engineering Applications Research Center of High Volume Language Information Processing and Cloud Computing Beijing Institute of Technology No.5 Yard Zhong Guan Cun South Street Haidian District Beijing 100081 China Department of Computer Science Beijing Institute of Technology No.5 Yard Zhong Guan Cun South Street Haidian District Beijing 100081 China

ISBN: (纸本)9784905166023

Usually ambiguous words contained in article appear several times. Almost all existing methods for unsupervised word sense disambiguation make use of information contained only in ambiguous sentence. This paper presents a novel approach by considering neighborhood knowledge. The approach can naturally make full use of the within-sentence relationship from the ambiguous sentence and cross-sentence relationship from the neighborhood knowledge. Experimental results indicate the proposed method can significantly outperform the baseline method. © 2011 by Huang Heyan, Yang Zhizhuo, Jian Ping.

关键词： Information use

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Cluster mining with ant colony optimizer using fuzzy inferences

Cluster mining with ant colony optimizer using fuzzy inferen...

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International Conference on Computing, Communication and Networking Technologies

作者： Sankar, K. Krishnamoorthy, K. Department of Master of Computer Applications KSR College of Engineering Tiruchengode India Department of Computer Science and Engineering SONA College of Technology Salem India

ISBN: (纸本)9781424465910

Ant-based techniques are designed to take biological inspirations on the behavior of these social insects. Data clustering techniques are classification algorithms that have a wide range of applications, from Biology to Image processing and Data presentation. Since real life ants do perform clustering and sorting of objects among their many activities, we expect that a study of ant colonies can provide new insights for clustering techniques. The aim of clustering is to separate a set of data points into self-similar groups such that the points that belong to the same group are more similar than the points belonging to different groups. Each group is called a cluster. Data may be clustered using an iterative version of the Fuzzy C means (FCM) algorithm, but the draw back of FCM algorithm is that it is very sensitive to cluster center initialization because the search is based on the hill climbing heuristic. The ant based algorithm provides a relevant partition of data without any knowledge of the initial cluster centers. In the past researchers have used ant based algorithms which are based on stochastic principles coupled with the kmeans algorithm. The proposal in this work use the Fuzzy C means algorithm as the deterministic algorithm for ant optimization. The proposed model is used after reformulation and the partitions obtained from the ant based algorithm were better optimized than those from randomly initialized hard C Means. The proposed technique executes the ant fuzzy in parallel for multiple clusters. This would enhance the speed and accuracy of cluster formation for the required system problem. ©2010 IEEE.

关键词： Clustering algorithms

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ANT colony algorithm for routing problem using rule-mining

ANT colony algorithm for routing problem using rule-mining

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2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010

ISBN: (纸本)9781424459674

The proposed work presented a modified MAX-MIN Ant System (MMAS) algorithm to solve the routing problem, in which known demand are supplied from a store house with parallel routes for new local search. Routing Problem is an optimization problem and solved to nearly optimum by heuristics. The objective of routing issues is to use a fleet of vehicles with specified capacity to serve a number of users with dissimilar demands at minimum cost, without violating the capacity and route length constraints. Many meta-heuristic approaches like Simulated Annealing (SA), Tabu Search (TS) and An Improved Ant Colony System (IACS) algorithm are compared for the performance result analysis. The well-founded theory of fuzzy sets is a special way to model the uncertainty. The rules in a fuzzy model contain a set of propositions, each of which restricts a fuzzy variable to a single fuzzy value by means of the predicate equivalency. That way, each rule covers a single fuzzy region of the fuzzy grid. The proposed system of this thesis extends this structure to provide more general fuzzy rules, covering the input space as much as possible. In order to do this, new predicates are considered and a Max-Min Ant System is proposed to learn such fuzzy rules. © 2010 IEEE.

关键词： Fuzzy rules

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Implementation and performance evaluation of AODV in wireless mesh networks using NS-3

Implementation and performance evaluation of AODV in wireles...

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2010 2nd International Conference on Education Technology and computer, ICETC 2010

作者： Paul, Arnrita Bose Konwar, Shantanu Gogoi, Upola Chakraborty, Angshuman Yeshrnin, Nilufar Nandi, Sukurnar Department of Computer Applications Assam Engineering College Guwahati Assam India Department of Computer Science and Engineering Indian Institute of Technology Guwahati Guwahati Assam India

ISBN: (纸本)9781424463688

Wireless Mesh Networks (WMNs) are a radio-based network technology that has gained considerable importance in network research community. It is a multi-hop wireless access network where nodes can act both as a host as well as a router. One of the factors that influence the performance of WMNs is the underlying routing protocol used. Since implementation of wireless routing protocols in a real test bed is difficult, hence, simulation environment is being considered for performance evaluation of a routing protocol in a wireless scenario. Recently, a new network simulator called NS-3, which is in its developing stage, demands a great potential (as claimed by the developers group) for performance analysis of different routing protocols. In this paper, we aim to implement and analyze the performance of Ad hoc On-Demand Distance Vector (AODV) routing protocol in NS-3, which is one of the candidate routing protocol proposed by IETF group for WMNs. For this, we have implemented AODV in NS-3.6 and extensive simulations have been carried out for calculation of Throughput, Packet Delivery Ratio (PDR), and Normalized Routing Overhead (NRO). © 2010 IEEE.

关键词： Routing protocols

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K, T and D-like fuzzy Kripke models

K, T and D-like fuzzy Kripke models

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： Benjamin Bedregal Regivan H. N. Santiago Mario Benevides Petrúcio Viana Group of Logic Language Information Theory and Applications-LoLITA Department of Informatics and Applied Mathematics Federal University of Rio Grande do Norte Natal Rio Grande do Norte Brazil Program of Engineering of Systems and Computing-PESC Department of Computer Science Federal University of Rio de Janeiro Rio de Janeiro Rio de Janeiro Brazil Department of Analysis Fluminense Federal University (UFF) Niteroi Rio de Janeiro Brazil

The idea of a Kripke semantics endowed with possibility/plausibility information is not new; in fact there are different approaches for that; see: [6], [13], [16], [19]. This paper follows the approach found in [6], but whereas [6] provides a fixed interpretation for connectives into [0,1] here we provide a characterization of a fuzzy semantics for connectives in such a way that the resulting fuzzy frames: K, T and D, are described precisely by the set of statements which also describes, respectively, the usual modal systems K, T and D.

关键词： Semantics Fuzzy sets Fuzzy logic Bismuth Electronic mail Uncertainty Reliability

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Performance study of parallel programming on cloud computing environments using MapReduce

Performance study of parallel programming on cloud computing...

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2010 International Conference in Information science and applications, ICISA 2010

作者： Shih, Wen-Chung Tseng, Shian-Shyong Yang, Chao-Tung Department of Information Science and Applications Asia University Taichung 41354 Taiwan Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan

ISBN: (纸本)9781424459438

Divisible load applications have such a rich source of parallelism that their parallelization can significantly reduce their total completion time on cloud computing environments. However, it is a challenge for cloud users, probably scientists and engineers, to develop their applications which can exploit the computing power of the cloud. Using MapReduce, novice cloud programmers can easily develop a high performance cloud application. To examine the performance of programs developed by this approach, we apply this pattern to implement three kinds of applications and conduct experiments on our cloud test-bed. Experimental results show that MapReduce programming is suitable for regular workload applications. ©2010 IEEE.

关键词： MapReduce

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Scale invariant feature extraction for identifying an object in the image using Moment invariants

Scale invariant feature extraction for identifying an object...

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作者： Muralidharan, R. Chandrasekar, C. Department of Computer Applications KSR College of Engineering Tiruchengode - 637 215 India Department of Computer Science Periyar University Salem India

ISBN: (纸本)9788183713696

Feature extraction is the first and foremost activity in object recognition and detection processing. It reduces the amount of data by representing the image in the form of distinctive, representative interest points. This paper deals with the extraction of global features from the pre-processed images. Geometric Moment invariant produces a set of seven normalized moment invariants that are invariant under shifting, scaling and rotation. Geometric Moment invariant is widely used to extract global features for pattern recognition due to its discrimination power and robustness. After the feature extraction is done the dimensionality of the feature is reduced using the concept of Principal Component Analysis. Finally, the reduced feature vector is used for the recognition of object using the Nearest Neighbor. © 2010 Kongu engineering College.

关键词： Object recognition

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