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21-23 Oct. 2014

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Displaying Results 1 - 25 of 104
  • [Front cover]

    Publication Year: 2014, Page(s): C4
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  • [Title page i]

    Publication Year: 2014, Page(s): i
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  • [Title page iii]

    Publication Year: 2014, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2014, Page(s): iv
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  • Table of contents

    Publication Year: 2014, Page(s):v - xiii
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  • Welcome Message from the Chairs

    Publication Year: 2014, Page(s): xiv
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  • Conference Organization

    Publication Year: 2014, Page(s): xv
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  • International/Technical Program Committee

    Publication Year: 2014, Page(s): xvi
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  • International reviewers

    Publication Year: 2014, Page(s): xvii
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  • Technical Sponsors

    Publication Year: 2014, Page(s): xviii
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  • Feature selection in data-driven systems modelling [keynote speaker 1]

    Publication Year: 2014, Page(s): 1
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (180 KB)

    Summary form only given, as follows. Feature selection (FS) addresses the problem of selecting those system descriptors that are most predictive of a given outcome. Unlike other dimensionality reduction methods, with FS the original meaning of the features is preserved. This has found application in tasks that involve datasets containing very large numbers of features that might otherwise be impra... View full abstract»

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  • Big data in [keynote speaker 2]

    Publication Year: 2014, Page(s): 2
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (179 KB)

    Summary form only given, as follows. The resolution power of experiments is improving steadily and the data rate production is rapidly increasing. The success of the experiments depends critically on handling effectively and efficiently huge amounts of data. The on-detector reduction of the data rate will be a major topic as only a fraction of the data can be archived for later long-term analyses.... View full abstract»

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  • Intelligent electrical energy distribution and consumption: SMARTGRID [keynote speaker 3]

    Publication Year: 2014, Page(s):3 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB)

    Summary form only given. We are living with networks surrounding us. The first such network was probably the postal services, and now the youngsters are already using 4G mobile internet. Megawatts and gigawatts are not so easy to handle than megabytes and gigabytes. Transferring huge amounts of electrical energy requires big investments. The story started at the end of the 19th century with steam ... View full abstract»

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  • Extended Column Level Temporal System Indexing

    Publication Year: 2014, Page(s):5 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (407 KB) | HTML iconHTML

    Timed data processing is a fundamental requirement for the database systems. Time management requires access to complex record of changes during the whole life cycle of the object -- historical values, actual states, also data valid the future. Existing solutions are inadequate in terms of performance - effectiveness of the whole system which is manifested using the size of the required data and p... View full abstract»

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  • An Entropy Based Elegant Decision Tree Classifier to Predict Precipitation

    Publication Year: 2014, Page(s):11 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (326 KB) | HTML iconHTML

    Prediction of precipitation is a necessary tool in meteorology. To date, it is technologically and scientifically a challenging task for scientists and researchers around the globe. Rainfall is a liquid form of precipitation that depends primarily on humidity, temperature, pressure, wind speed, dew point, and so on. Because rainfall depends on several parameters, its prediction becomes very comple... View full abstract»

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  • A Review on Evolutionary Feature Selection

    Publication Year: 2014, Page(s):20 - 26
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (210 KB) | HTML iconHTML

    This paper presents a review of some of the most recent evolutionary algorithms used for solving feature selection based upon previously published research on feature selection. In addition, we discuss various research issues relating to each of the presented evolutionary algorithm. Evolutionary algorithms present several advantages over traditional search such as they require less domain-specific... View full abstract»

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  • Neural Network On-Line Modeling for Mechanically Coupled Vehicle

    Publication Year: 2014, Page(s):27 - 32
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (387 KB) | HTML iconHTML

    This study was conducted to increase the usefulness of personal vehicles. Single-occupant personal vehicles are easy to handle, but their load capacities are smaller than other types of vehicles. This paper presents a solution to this problem in the form of a system for vehicles that couple mechanically. However, if vehicles are only coupled, their performance in braking, accelerating, and steerin... View full abstract»

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  • Classifying Workers into Risk Sensibility Profiles: A Neural Network Approach

    Publication Year: 2014, Page(s):33 - 38
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB) | HTML iconHTML

    In this paper we propose a neural network-based classifier to associate a worker with his/her risk sensibility profile. The basic idea behind the risk sensibility profile is that risks are preventable by appropriate actions that decrease their injurious potential. Also, some criticality factors have been shown to be connected with risk perception and risk propensity. Mapping workers into risk sens... View full abstract»

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  • A Hybrid Feature Selection Method for Classification Purposes

    Publication Year: 2014, Page(s):39 - 44
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (204 KB) | HTML iconHTML

    This paper presents a novel combination of filter features selection algorithms for classification problem. Feature selection is one of the most important issues in pattern recognition, machine learning and computer vision. The main objective of feature selection regards the dimensionality reduction, the performance of machine learning improvement and the process comprehensibility increase. Exhaus... View full abstract»

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  • Assessment of Applying Path Planning Technique to Nanorobots in a Human Blood Environment

    Publication Year: 2014, Page(s):45 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (275 KB) | HTML iconHTML

    This paper demonstrates the inspiration of using communication technique between nanorobots and the movements of them in a swarm for the purpose of target area tracking and arrival inside human blood streaming environment. So, the blood elements and physical properties must be considered. The communication and movement problems of nanorobots are carried out in a self-organized way by applying modi... View full abstract»

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  • Tracking of People in Paper Mill Warehouse Using Laser Range Sensor

    Publication Year: 2014, Page(s):52 - 57
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    In this paper a laser scanner based approach for simultaneous detection and tracking of people in an indoor environment is presented. The operation of an autonomous truck, for transporting paper reels in a dynamic environment shared with humans, is considered as the application setting for this work. Here, a human leg detection procedure and an Extended Kalman Filter (EKF) based tracking method ar... View full abstract»

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  • Dynamic Virtual Bats Algorithm (DVBA) for Minimization of Supply Chain Cost with Embedded Risk

    Publication Year: 2014, Page(s):58 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (330 KB) | HTML iconHTML

    Dynamic Virtual Bats Algorithm (DVBA) is a new optimization algorithm, which is tested on several benchmark functions for global optimization. However it has not been tested on a real world problem yet. In this paper DVBA has been applied to minimize the supply chain cost with other well known algorithms, Particle Swarm Optimization (PSO), Bat Algorithm (BA), Genetic Algorithm (GA) and Tabu Search... View full abstract»

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  • Comparison of Optimization Algorithms for the Indirect Encoding of a Neural Controller for a Soft Robotic Arm

    Publication Year: 2014, Page(s):65 - 70
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4965 KB) | HTML iconHTML

    With their dexterity, robustness and safe interaction with humans, soft robots bode to revolution the field of robotics. However, featuring structures undergoing nonlinear deformations and under-actuated mechanisms, traditional control techniques are usually unsuccessful. Artificial neural networks have instead shown to be a suitable solution to control soft robots in several cases. Among the diff... View full abstract»

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  • Ranking Entities in Networks via Lefschetz Duality

    Publication Year: 2014, Page(s):71 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (301 KB) | HTML iconHTML

    In the theory of communication it is essential that agents are able to exchange information. This fact is closely related to the study of connected spaces in topology. A communication network may be modelled as a topological space such that agents can communicate if and only if they belong to the same path connected component of that space. In order to study combinatorial properties of such a spac... View full abstract»

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  • Augmented Reality Based Platform for Simulation of 3D Models, Generated with a Series of 2D Images, on Real Environment

    Publication Year: 2014, Page(s):77 - 81
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (605 KB) | HTML iconHTML

    With the need of an Augmented Reality based platform for simulation of three dimension models, generated with a series of two dimension images, on real environment, the main objective of this project is to build a platform for users to use both these functionalities. This is a mobile application which helps people to decide when they are buying household items, whether that item fits their desired... View full abstract»

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