2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)

23-25 Nov. 2016

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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - ix
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  • Preface

    Publication Year: 2016, Page(s): x
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  • Message from Program Chairs

    Publication Year: 2016, Page(s): xi
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  • Organizing Committee

    Publication Year: 2016, Page(s): xii
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  • Program Committee

    Publication Year: 2016, Page(s): xiii
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  • Keynotes

    Publication Year: 2016, Page(s):xiv - xvi
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (127 KB)

    Provides an abstract for each of the keynote presentations and may include a brief professional biography of each View full abstract»

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  • Parametric Analysis, Modeling and Optimization of Surface Roughness during EDAG Using CBN Abrasive

    Publication Year: 2016, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (237 KB) | HTML iconHTML

    Electrical discharge abrasive grinding (EDAG) of ferrous alloys such as high speed steel and high carbon steel, using diamond abrasive demonstrates poor machining performance. The chemical affinity of diamond towards the ferrous alloys is the main reason for the same. In the present research, the performance of cubic boron nitride (CBN) abrasive has been investigated. The parametric analysis, mode... View full abstract»

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  • Yield Optimization with Binding Latency Constraints

    Publication Year: 2016, Page(s):5 - 12
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (233 KB) | HTML iconHTML

    Programmatic advertising is an actively developing industry and research area. Some of the research in this area concerns the development of optimal or approximately optimal contracts and policies between publishers, advertisers and intermediaries such as ad networks and ad exchanges. Both the development of contracts and the construction of policies governing their implementation are difficult ch... View full abstract»

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  • Headless Chicken Guaranteed Convergence Particle Swarm Optimization Algorithms for Improved Diversity in a Dynamically Changing Environment

    Publication Year: 2016, Page(s):13 - 17
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (175 KB) | HTML iconHTML

    This paper investigates various strategies for incorporating the headless chicken macromutation operator and the guaranteed convergence particle swarm optimization velocity update into a dynamic particle swarm optimization algorithm. Three different dynamic headless chicken guaranteed convergence particle swarm optimization algorithms are proposed and evaluated on a diverse set of single-objective... View full abstract»

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  • Rhinoceros Search Algorithm

    Publication Year: 2016, Page(s):18 - 22
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (193 KB) | HTML iconHTML

    In this paper, a novel metaheuristic search algorithm inspired by rhinoceros' natural behaviour is proposed, namely Rhinoceros Search Algorithm (RSA). Similar to our earlier version called Elephant Search Algorithm, RSA simplifies certain habitual characteristics and stream line the search operations, thereby reducing the number of operational parameters required to configure the model. Via comput... View full abstract»

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  • The Influence of Topologies on the Dynamic Vector Evaluated Particle Swarm Optimisation Algorithm

    Publication Year: 2016, Page(s):23 - 27
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (173 KB) | HTML iconHTML

    Most real world problems have more than one objective, with at least two objectives in conflict with one another and at least one objective that is dynamic in nature. The dynamic vector evaluated particle swarm optimisation (DVEPSO) algorithm is a co-operative algorithm, where each sub-swarm solves only one objective function and therefore, each sub-swarm optimises only a sub-set of decision varia... View full abstract»

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  • Classification on Grassmann Manifold via Scheiddegger-Watson Distribution using Bayesian Approach

    Publication Year: 2016, Page(s):28 - 32
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (270 KB) | HTML iconHTML

    Our focus in this paper is a simple Bayesian classification on generalised Scheiddegger-Watson distribution using standard Maximum Likelihood Estimation (MLE). The main barrier in working with Scheiddegger-Watson or matrix variate distributions via standard MLE is the normalising constant that always appears with them. We apply Taylor expansion for approximating the corresponding matrix-based norm... View full abstract»

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  • Learning on Fisher-Bingham Model Based on Normalizing Constant

    Publication Year: 2016, Page(s):33 - 37
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (323 KB) | HTML iconHTML

    Our focus in this work is on the practical applicability of matrix variate Fisher-Bingham model for statistical inferences via Maximum Likelihood Estimation (MLE) technique using simple Bayesian classifier. The practicability of such parametric models on high dimensional data (e.g., via manifold valued data) remained a big hurdle since long i.e., mainly due to the difficult normalising constant na... View full abstract»

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  • Recognition on Matrix Angular Central Gaussian Distribution

    Publication Year: 2016, Page(s):38 - 42
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (258 KB) | HTML iconHTML

    We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability of Grassmann Angular Central Gaussian (GACG) distribution by using Grassmann manifold. Our main concern is then on the applicability of GACG for computer vision application e.g., classification on arbitrarily high dimensional Grassmannian space. We show by numerical experiments that the implementation of... View full abstract»

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  • A Two Phases Heuristic Based Method for the MinMax Regret Location Problem

    Publication Year: 2016, Page(s):43 - 46
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (477 KB) | HTML iconHTML

    We are interested in solving the problem of locating a subset of facilities in the case of uncertainties and variations in the system parameters. Dealing with this problem using scenarios based approach needs an important computational effort. The two phases proposed method in this paper combines both exact and heuristic approaches to minimize the maximum regret of the model. We proposed and compa... View full abstract»

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  • Using Custom Fuzzy Thesaurus to Incorporate Semantic and Reduce Data Sparsity for Twitter Sentiment Analysis

    Publication Year: 2016, Page(s):47 - 52
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (371 KB) | HTML iconHTML

    Considerable research efforts have been devoted to Twitter sentiment analysis in recent years. Given the informal writing style of Twitter, there exists an endless variety of sound vocabulary, slogans, emoticons and special characters that can be used to express one's opinion in a maximum of 140-characters. This results in a sparsity problem making the training of machine learning classifiers from... View full abstract»

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  • Fireworks Algorithm with New Feasibility-Rules in Solving UAV Path Planning

    Publication Year: 2016, Page(s):53 - 57
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (268 KB) | HTML iconHTML

    Unmanned Aerial Vehicle (UAV) path planning is a high dimensional NP-hard problem. It is related to optimizing the flight route subject to various constraints inside the battlefield environments. Since the number of control points is high as well as the number of radars, the traditional methods could not produce acceptable results when tackling this problem. In this paper, we have converted the UA... View full abstract»

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  • A Multi-objective Hyper-Heuristic for the Flexible Job Shop Scheduling Problem with Additional Constraints

    Publication Year: 2016, Page(s):58 - 62
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (184 KB) | HTML iconHTML

    This paper proposes a multi-objective hyperheuristic (MOO-HMHH) algorithm for the flexible job shop scheduling problem (FJSP) with sequence-dependent set-up times, auxiliary resources and machine down time. Two variations of the algorithm were implemented and evaluated on real customer datasets. The hyper-heuristic algorithms compared well to their constituent algorithms and promising results were... View full abstract»

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  • Mode of Delivery Prognosis through Data Mining

    Publication Year: 2016, Page(s):63 - 66
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (282 KB) | HTML iconHTML

    The prognosis of mode of delivery is considered to be one of the most important steps in identifying the procedure and possible complications that might occur during the delivery process. Current practices for predicting mode of delivery relies totally on the opinion of the physician in charge. Data mining is a promising yet effective modern set of techniques that extract hidden information in ord... View full abstract»

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  • Efficient Exploration of Biological Data Using Semantic Web Compatible Databases

    Publication Year: 2016, Page(s):67 - 72
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (145 KB) | HTML iconHTML

    There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format, however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format, for example, that of the Resource Description Framework (RDF). There are... View full abstract»

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  • Personification of Bag-of-Features Dataset for Real Time Activity Recognition

    Publication Year: 2016, Page(s):73 - 78
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (244 KB) | HTML iconHTML

    Personalization of activity recognition is possible and important, when existing public dataset collected from large group of subjects can be tailored and be used as training and testing dataset for new users (subjects) who have similar personal traits. However, due to shortage of personalized dataset and techniques to tailor public dataset for new users weakens the personalization of human activi... View full abstract»

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  • Evidence Accumulation from Some Clustering Algorithms to Improve Gene Expression Data Classification

    Publication Year: 2016, Page(s):79 - 83
    Request permission for commercial reuse | Click to expandAbstract |PDF file iconPDF (201 KB) | HTML iconHTML

    The idea of ensemble based clustering is to combine the data partitions produced by multiple clustering algorithms. Here we have considered several recently developed clustering algorithms like point symmetry distance based genetic clustering technique (GAPS), symmetry based differential evolution and particle swarm optimization based clustering algorithms, popular K-means and fuzzy C-means cluste... View full abstract»

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