2016 7th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

25-27 Jan. 2016

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  • [Front cover]

    Publication Year: 2016, Page(s): C4
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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 - xi
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  • Welcome Message from the Chairs

    Publication Year: 2016, Page(s): xii
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  • Conference Organization

    Publication Year: 2016, Page(s): xiii
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  • International/Technical Program Committee

    Publication Year: 2016, Page(s): xiv
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  • International Reviewers

    Publication Year: 2016, Page(s):xv - xvi
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  • Technical sponsors

    Publication Year: 2016, Page(s): xvii
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  • Modelling and Formalizing Emergence

    Publication Year: 2016, Page(s):3 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB)

    The saying The whole is greater than the sum of its parts is often attributed to the Greek philosopher Aristotle. In a system, entity interactions give rise to new behavior of the whole or emergent behavior that cannot be reducible to the behavior of the individual entities. As systems grow in size and scale, advancing our understanding of emergent properties is both important and challenging.This... View full abstract»

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  • Deep Near Unsupervised Learning for Data Analysis in Metabolomics, Drug-Drug Interaction Discovery and Human Gait Recognition

    Publication Year: 2016, Page(s):5 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (223 KB)

    We have been working on the application of Machining Learning in Metabolomics, Drug-Drug Interaction Discovery and Human Gait Recognition [1-5], profiling large data sets. Extraction of vital information about 1) plant metabolomics that can improve the environment and food quality, 2) in vitro neuronal network behavior patterns for various drugs that can be used to characterize drugs for brain dec... View full abstract»

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  • Deep Belief Networks with Feature Selection for Sentiment Classification

    Publication Year: 2016, Page(s):9 - 14
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (298 KB)

    Due to the complexity of human languages, most of sentiment classification algorithms are suffered from a huge-scale dimension of vocabularies which are mostly noisy and redundant. Deep Belief Networks (DBN) tackle this problem by learning useful information in input corpus with their several hidden layers. Unfortunately, DBN is a time-consuming and computationally expensive process for large-scal... View full abstract»

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  • Design of Alcohol Detection System for Car Users thru Iris Recognition Pattern Using Wavelet Transform

    Publication Year: 2016, Page(s):15 - 19
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB) | HTML iconHTML

    The purpose of this paper is to develop a system that captures the Iris image of the driver by detecting if the person is drunk and likewise to develop a reliable algorithm for Iris Recognition. This paper is composed of hardware and software system which focuses on the implementation of an algorithm based on Gabor Filter. The system consists of CCD Camera and Analog-to-Digital Converter, which is... View full abstract»

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  • Cloud Computing and Robotics for Disaster Management

    Publication Year: 2016, Page(s):20 - 24
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (283 KB) | HTML iconHTML

    Nowadays, IT community is experiencing great shift in computing and information storage infrastructures by using powerful, flexible and reliable alternative of cloud computing. The power of cloud computing may also be realized for mankind if some dedicated disaster management clouds will be developed at various countries cooperating each other on some common standards. The experimentation and depl... View full abstract»

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  • Intelligent Power Management System of Bangladesh Using Artificial Neural Network

    Publication Year: 2016, Page(s):25 - 30
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    In this research work, we have developed an intelligent power management system using Artificial Neural Network (ANN) which will control load shedding automatically in a local distribution area and utilize different types of power generation units like conventional and non-conventional energy sources. If generation is not sufficient to meet the load demand, then ANN network will anticipate and pre... View full abstract»

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  • Determining the Pressure Distribution on Water Pipeline Networks Using the Firefly Algorithm

    Publication Year: 2016, Page(s):31 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (278 KB)

    Along with the increase of population, companies delivering clean water to customers are dealing with some problems on their networks, e.g., flow assurance. It is to guarantee the availability of water on customers or to provide sufficient pressure distribution at any points on the network. This study aims to model and calculate the pressure distribution on the water pipeline networks. Using the a... View full abstract»

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  • Modelling of Output Power Response for Switched Damping Electromagnetic Energy Harvester

    Publication Year: 2016, Page(s):37 - 41
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (387 KB)

    The scavenging of electrical energy from surrounding environment has a number of attractions, and vibration energy is seen as one of the most potential sources. Switched damping is a method to improve the operational bandwidth of an electromagnetic energy harvester by alternatively switching the values of electrical damping coefficients of the device at different quadrants during oscillation. From... View full abstract»

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  • An Algorithmic Method of Calculating Neighborhood Radius for Clustering In-home Activities within Smart Home Environment

    Publication Year: 2016, Page(s):42 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (570 KB)

    Activity clustering and recognition is one of the most important research trends about smart home. Taking place inside a sensor smart home, activities differ from each other at typical characteristics such as sensor sets triggered as well as temporal ones. In this work, we present a smart home infrastructure and propose a method of calculating neighborhood radius for clustering and recognizing in-... View full abstract»

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  • Mobile Users' Context Awareness Model Based on a Novelty Contextual-Soundscape Information

    Publication Year: 2016, Page(s):48 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (961 KB)

    With the wide spread of smartphones, providing contextualized information for mobile environment has been in demand, and many researchers have explored the topic of context awareness based on sensors in smartphones. The state-of-the-art method in this field only uses for input simple data such as location, current time, user activity and provides simple output. Various events that could take place... View full abstract»

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  • A Novel Technique for Reduction of Harmonics in Multilevel Inverters: A Survey

    Publication Year: 2016, Page(s):55 - 59
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB)

    The widespread use of harmonics-sensitive digital gadgets are developing a near-epidemic of "power highquality" problems, which might be addressed by means of both customers and providers of electric energy. Numerous types, styles, and abilities exist within the field of instrumentation and diagnostic system for the detection, recording, and analysis of the harmonics distorted waveform. The essent... View full abstract»

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  • Recommending Learning Peers for Collaborative Learning through Social Network Sites

    Publication Year: 2016, Page(s):60 - 63
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (302 KB)

    With advances in social network sites and easy access to internet services, many learners depend on suggestions from other people on the internet for easy access to very essential information concerning learning materials, and also to collaborate with each other in order to exchange ideas. Current recommender systems for learning focus on recommending a sequence of learning materials based on lear... View full abstract»

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  • Human Activities Recognition in Android Smartphone Using Support Vector Machine

    Publication Year: 2016, Page(s):64 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (297 KB)

    In this study, we designed and constructed a system to identify human actions using integrated sensors in smartphones. There are six actions that are selected for recognition include: walking, standing, sitting, lying down, up the stairs, down the stairs. In this system, Support Vector Machine (SVM) is used to classify and identify action. Collected data from sensors are analyzed for the classific... View full abstract»

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  • Design of an Intelligent Home Assistant

    Publication Year: 2016, Page(s):69 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (243 KB)

    An intelligent system for home automation is a desired technology in the 21st century. The main attraction of any automated system is reducing human labor, effort, time and errors due to human negligence. The goal of this project is to design a voice control and remote control (via World Wide Web) based intelligent system. Using remote control system via World Wide Web or Internet gives the abilit... View full abstract»

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  • Chatbot Using a Knowledge in Database: Human-to-Machine Conversation Modeling

    Publication Year: 2016, Page(s):72 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (401 KB)

    A chatterbot or chatbot aims to make a conversation between both human and machine. The machine has been embedded knowledge to identify the sentences and making a decision itself as response to answer a question. The response principle is matching the input sentence from user. From input sentence, it will be scored to get the similarity of sentences, the higher score obtained the more similar of r... View full abstract»

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