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Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on

Date 28-30 March 2012

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Displaying Results 1 - 25 of 123
  • [Cover art]

    Publication Year: 2012, Page(s): C1
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  • [Title page i]

    Publication Year: 2012, Page(s): i
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  • [Title page iii]

    Publication Year: 2012, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2012, Page(s): iv
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  • Table of Contents

    Publication Year: 2012, Page(s):v - xiv
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  • Message from Chairs

    Publication Year: 2012, Page(s): xv
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  • Conference organization

    Publication Year: 2012, Page(s): xvi
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  • International Program Committee

    Publication Year: 2012, Page(s): xvii
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  • International reviewers

    Publication Year: 2012, Page(s):xviii - xix
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  • Sponsors

    Publication Year: 2012, Page(s): xx
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  • Keynotes

    Publication Year: 2012, Page(s):xxi - xxvi
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB)

    Summary form only given. Abstracts are provided for the following 6 contests: Mitosis detection in breast cancer histological images; People tracking in wide baseline camera network; Human activities recognition and localization competition; CHALEARN Gesture Challenge; HEp-2 Cells Classification; Kitchen scene context based gesture recognition. View full abstract»

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  • Load Balancing of Nodes in Cloud Using Ant Colony Optimization

    Publication Year: 2012, Page(s):3 - 8
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (547 KB) | HTML iconHTML

    In this paper, we proposed an algorithm for load distribution of workloads among nodes of a cloud by the use of Ant Colony Optimization (ACO). This is a modified approach of ant colony optimization that has been applied from the perspective of cloud or grid network systems with the main aim of load balancing of nodes. This modified algorithm has an edge over the original approach in which each ant... View full abstract»

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  • A Reconfigurable, Generic and Programmable Feed Forward Neural Network Implementation in FPGA

    Publication Year: 2012, Page(s):9 - 13
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (617 KB) | HTML iconHTML

    This paper presents a new reconfigurable generic hardware implementation of multilayer feed-forward Neural-Networks (NNs) using field-programmable gate arrays (FPGAs). Implementations of feed-forward Neural-Networks face two major issues: 1) Limited resources available on the FPGA compared to the large number of multiplications required by Neural-Networks 2) The limited reusability of the design w... View full abstract»

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  • Comparison of Different Artificial Neural Networks for Brain Tumour Classification via Magnetic Resonance Images

    Publication Year: 2012, Page(s):14 - 18
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (714 KB) | HTML iconHTML

    Artificial Neural Network algorithms has been tested for the classification of patterns and best among them was implemented for the application of brain tumour classification as specified by World Health Organization standards via 2D MR images. The technique of Rajasekaran and Pai (sBAM) was found to give most successful results of classifying tumour into their correct classes. The computation tim... View full abstract»

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  • Applicability of Neural Networks to Software Security

    Publication Year: 2012, Page(s):19 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (119 KB) | HTML iconHTML

    Software design flaws account for 50% software security vulnerability today. As attacks on vulnerable software continue to increase, the demand for secure software is also increasing thereby putting software developers under more pressure. This is especially true for those developers whose primary aim is to produce their software quickly under tight deadlines in order to release it into the market... View full abstract»

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  • A Large Scale Digital Simulation of Spiking Neural Networks (SNN) on Fast SystemC Simulator

    Publication Year: 2012, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (431 KB) | HTML iconHTML

    Since biological neural systems contain big number of neurons working in parallel, simulation of such dynamic system is a real challenge. The main objective of this paper is to speed up the simulation performance of SystemC designs at the RTL abstraction level using the high degree of parallelism afforded by graphics processors (GPUs) for large scale SNN with proposed structure in pattern classifi... View full abstract»

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  • Ant Colony Optimization for Rule Induction with Simulated Annealing for Terms Selection

    Publication Year: 2012, Page(s):33 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB) | HTML iconHTML

    This paper proposes a sequential covering based algorithm that uses an ant colony optimization algorithm to directly extract classification rules from the data set. The proposed algorithm uses a Simulated Annealing algorithm to optimize terms selection, while growing a rule. The proposed algorithm minimizes the problem of a low quality discovered rule by an ant in a colony, where the rule discover... View full abstract»

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  • On Untangled Meshes via Fruchterman Reingold Force Directed Graph Embedding

    Publication Year: 2012, Page(s):39 - 45
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4254 KB) | HTML iconHTML

    In this paper, we study how to modify a physical, force-directed method based upon the Fruchterman-Reingold (FR) graph layout algorithm so that it can be used for untangling. Specifically, we have chosen Lake_20 Mesh, Lake_35 Mesh and Tri_20258 Mesh for our research work. All these meshes consist of small triangles. The objectives of aesthetic graph layout, such as minimization of edge intersectio... View full abstract»

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  • A New Genetic Folding Algorithm for Regression Problems

    Publication Year: 2012, Page(s):46 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (143 KB) | HTML iconHTML

    Support Vector Regression (SVR) is an attractive approach for data modeling. The SVR is based on mapping nonlinear input to a linear in the feature space. Instead of minimizing the observed training error, SVR minimizes the generalization error bound using structural risk minimization in combine with a kernel trick control. The model selection plays an important role to the performance of SVR. The... View full abstract»

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  • A Genetic Algorithm Approach for Solving Group Technology Problem with Process Plan Flexibility

    Publication Year: 2012, Page(s):52 - 58
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (621 KB) | HTML iconHTML

    A more and more competitive environment and constantly changing customers' favors have forced producers to enhance quality, efficiency and flexibility. The cellular manufacturing system (CMS) which is a manufacturing application of the group technology (GT) theory, has been known as one of the recent technological innovations for providing more productivity and flexibility. Different aspects of CM... View full abstract»

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  • Modeling and Adaptive Control Simulation for a Distillation Column

    Publication Year: 2012, Page(s):61 - 65
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (507 KB) | HTML iconHTML

    This paper presents mathematical modeling and adaptive control simulation for a distillation column based on the energy balance configuration. In this distillation modeling, the reflux rate L and the boil up rate V are used as the inputs to control the purity of the distillate overhead and the impurity of the bottom products. The mathematical modeling and simulation is accomplished over three stag... View full abstract»

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  • Intelligent Personalized Learning System Consideration

    Publication Year: 2012, Page(s):66 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (122 KB) | HTML iconHTML

    Personalised learning is a crucial key element for promoting lifelong learners. The concept of personalised learning is based on learner-centric approach, represented by different ways of adaptation of the services such as content, support, and presentation to the learner's needs. For any system to support various needs of the learners, it must offer functionality which allows learners to configur... View full abstract»

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  • CFD Simulation of Blood Clot Behaviour Using GP Device

    Publication Year: 2012, Page(s):75 - 80
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1173 KB) | HTML iconHTML

    There are 130,000 strokes in the UK alone each year, causing death or servere disability to those who are affected. Advances in recent times have enabled clot extraction to be undertaken using mechanical thrombectomy devices. In this paper we present a model of such an extraction device, and investigate the value of such modelling in predicting the behaviour of the device under given conditions. A... View full abstract»

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  • Bayesian Neural Network Applied in Medical Survival Analysis of Primary Biliary Cirrhosis

    Publication Year: 2012, Page(s):81 - 85
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (326 KB) | HTML iconHTML

    A benchmark medical study is realized for a Primary Biliary Cirrhosis (PBC) dataset by using two different versions of a Bayesian Neural Network (BNN) entitled Partial Logistic Artificial Neural Network for Competing Risks with Automatic Relevance Determination (PLANN-CR-ARD). The two BNN versions are based on two different compensation mechanisms which are designed to preserve the numerical stabi... View full abstract»

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  • Processing of Collision Data to Support Efficient Diagnosis of Concussion in Sports Athletes

    Publication Year: 2012, Page(s):86 - 91
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (940 KB) | HTML iconHTML

    Collision/Contact sports persons, particularly football and hockey players are involved in very high impact collisions during play. The player may be subjected to Concussion a medical term related to the disturbance in the brain function following a blow to head or a violent impact. This Concussion may result in to Mild Traumatic Brain Injury (MTBI). Often it is difficult to assess the severity of... View full abstract»

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