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Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on

Date 29-31 Jan. 2013

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Displaying Results 1 - 25 of 146
  • [Front cover]

    Publication Year: 2013 , Page(s): C4
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  • Proceedings of the 2013 Fourth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2013)

    Publication Year: 2013 , Page(s): i
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  • [Title page iii]

    Publication Year: 2013 , Page(s): iii
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  • [Copyright notice]

    Publication Year: 2013 , Page(s): iv
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  • Table of contents

    Publication Year: 2013 , Page(s): v - xvi
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  • Welcome Message from the Chairs

    Publication Year: 2013 , Page(s): xvii
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  • Conference Organization

    Publication Year: 2013 , Page(s): xviii
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  • International/Technical Program Committee

    Publication Year: 2013 , Page(s): xix
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  • International Reviewers

    Publication Year: 2013 , Page(s): xx - xxi
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  • Technical sponsors

    Publication Year: 2013 , Page(s): xxii
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  • Keynote speakers

    Publication Year: 2013 , Page(s): xxiii - xxxi
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (811 KB)  

    This keynotes discusses the following: A Formal Approach for Understanding Emergent Properties in Simulation Models; Similarity-Based IPR and e-Forensics, -Modeling and Simulation in HC Interactive Learning Environment; Emotion, Future Smart Technology, and Convergence. View full abstract»

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  • A Novel Approach for Constructing Emulator for Microsoft Kinect XBOX 360 Sensor in the .NET Platform

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (193 KB) |  | HTML iconHTML  

    The Microsoft Kinect sensor has brought a new era of Natural User Interface (NUI) based gaming and the associated SDK has provided access to its powerful sensors, which can be utilized in many ways, especially in research purposes. We have already seen its use in robotics, developing assistive technologies, and augmented reality, aside from gaming. Thousands of people around the world are playing with its built-in multimodal sensors, but still a complete emulator for the Kinect sensor device is lacking, thus requiring a physical device to do any experiments with it. In this work, we have come forward with a novel design of an emulator for the Kinect sensor and its implementation in the .NET platform using the Microsoft Kinect SDK. We have demonstrated the applicability of our system through detailed software design, code descriptions to incorporate this emulator in user's own code, and video demonstration of our proposed system. View full abstract»

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  • Fuzzy Rule Based Clustering for Gene Expression Data

    Publication Year: 2013 , Page(s): 7 - 11
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (283 KB) |  | HTML iconHTML  

    The complexity of biological networks and the large number of genes in microarray datasets cause a lot of challenges in analyzing gene expression data. Clustering techniques which group the similar genes into the same clusters with the purpose of analyzing the function of genes have been used to overcome these challenges. In general, fuzzy clustering methods are more suitable for analyzing gene expression data because of overlap between the biological groups and existing noisy data within the microarray datasets. In this paper by the usage of FRBC(Fuzzy Rule Based Clustering algorithm) approach a fuzzy clustering algorithm is proposed to automatically explore the potential gene clusters in the microarray datasets with no prior knowledge and represent them with some interpretable fuzzy rules that are human understandable. In the simulation results, the accuracy of the algorithm is evaluated on some microarray datasets and to confirm whether the clusters are precisely explored, several validity criteria are used to compare the proposed algorithm with some well-known fuzzy clustering methods. View full abstract»

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  • Industrial Multiple Criteria Decision Making Problems Handled by Means of Fuzzy Inference-Based Decision Support Systems

    Publication Year: 2013 , Page(s): 12 - 17
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (326 KB) |  | HTML iconHTML  

    Multiple Criteria Decision Making (MCDM) was introduced in the early 70s to solve decisions and planning problems involving multiple independent criteria. In many real applications the decision making problems are vague and uncertain, also a fuzzy multi-criteria decision making (FMCDM) approach for selecting the best strategies is preferable. This paper proposes two different fuzzy multi-criteria decision making approaches for selecting the best strategies to put into practice in two real world problems coming from a steel making industry. View full abstract»

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  • Enhancing Clustering Technique to Plan Social Infrastructure Services

    Publication Year: 2013 , Page(s): 18 - 23
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (306 KB) |  | HTML iconHTML  

    This article deals with social infrastructure planning problems in urban city. Each facility must serve minimum pre-specified level of demand. The objective is to minimize the distance traveled by users to reach the facilities this means also to maximize the accessibility to facilities. A location model that captures the above features is formulated and different solution methods are tested. Clustering in spatial data mining is to group similar objects based on their connectivity, distance, or their relative density in space. In real word, there exist many physical obstacles such as rivers, lakes, highways and mountains, and their presence may affect the result of clustering significantly. In this paper, we study the problem of clustering in the presence of obstacles to solve location of public service facility problem. In this paper, CSPOD-DBSCAN algorithm (Clustering with short path Obstructed Distance - Density- Based Spatial Clustering of Applications with Noise) is developed in the spirit of DBSCAN clustering algorithms. This algorithm is Density-based clustering algorithm using Dijkstra algorithm to calculate obstructed short path distance. The application of this algorithm is illustrated through a case study involving the location of schools in the districts of Mecca in Saudi Arabia. View full abstract»

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  • Intelligent Parking System for Car Parking Guidance and Damage Notification

    Publication Year: 2013 , Page(s): 24 - 29
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (156 KB) |  | HTML iconHTML  

    This paper presents an innovative intelligent parking system (IPS) that has two functions: Car parking guidance and car damage notification. IPS is an advanced automatic driving system that consists of car guidance which proposes oriented assistance for drivers while parking. IPS has some interesting functionalities that ensure an easy parking without damages, parking within less time in any suitable spots and getting a notification if the parked car has been scratched or damaged while the driver is not in the car. The main purpose of the IPS system considers a control car system, an algorithmic move car system and a damage notification system to the vehicle. During the parking process, the driver is alerted by visual and sound signals. The IPS system provides a path planning image that is displayed on the on-board computer system to indicate the directions for the wheels. The damage notification system consists of car-camera shock sensors placed in the front and rear of the vehicle that record the incident when the driver is not in the car. View full abstract»

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  • Performance Analysis of Different Optimal Path Planning Bug Algorithms on a Client Server Based Mobile Surveillance UGV

    Publication Year: 2013 , Page(s): 30 - 35
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (694 KB) |  | HTML iconHTML  

    Path planning algorithms have drawn attention of researches in the last few years. Mobile path planning robots are considered to be very useful for surveillance and military use. Efficiency parameters include distance and time taken by the UGVs to reach the target destination in both known (global) environment and real time unknown (local) environment. Pre-planned trajectories need complete static information of the respective environment for a successful implementation. Runtime dynamic obstructions are handled using different sensing devices. This paper explains the implementation of various bug algorithms of which point bug is considered to be the most efficient and effective with respect to the time and cost on a mobile UGV. The UGV is controlled through Client Server modeling and input from ultrasonic sensors which have played a vital role in surveillance. Navigation criterion has been accomplished using Global positioning module and digital compass. A complete system is capable of reaching destination point given by a client user with an efficient path planning algorithm. We have compared the performance of different bug algorithms in static and dynamic local environments in terms of the shortest collision free distance traversed towards a given target location. The experimental results are compared with simulations and previous research along with discussion on the strengths and weaknesses of these algorithms under complex environments. View full abstract»

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  • A Novel Recurrent Neural Network with a Continuous Activation Function for Winner-Take-All

    Publication Year: 2013 , Page(s): 36 - 39
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (182 KB) |  | HTML iconHTML  

    In this paper, a novel recurrent neural network with a continuous activation function is proposed for solving the winner-take-all (WTA) problem. Compared with the existing WTA networks, the proposed network has a continuous activation function and lower model complexity. Moreover, global convergence of the proposed neural network is proved using the Lyapunov method. The WTA problem is first converted equivalently into a linear programming problem. Then a recurrent neural network with a single state variable is proposed to get the largest input of the WTA problem. In addition, simulation results on a numerical example show the effectiveness and performance of the proposed WTA network. View full abstract»

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  • An Interactive RFID-based Bracelet for Airport Luggage Tracking System

    Publication Year: 2013 , Page(s): 40 - 44
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (370 KB) |  | HTML iconHTML  

    Radio Frequency Identification (RFID) is a promising technology that has been implemented lately in airports. RFID tags are used to identify and track the location of passengers' luggage. This paper investigates the use of an interactive bracelet that communicates with the RFID system by mean of a database application. The database system interacts with the bracelet using messages that inform the passenger about his luggage status. The proposed database design and implementation are also discussed to describe the different functionalities of the application. View full abstract»

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  • License Plate Extraction from Still Images

    Publication Year: 2013 , Page(s): 45 - 48
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (2913 KB) |  | HTML iconHTML  

    License plate extraction is an important stage in the vehicle license plate recognition for an automated transport system. This paper presents a novel and practical license plate extraction algorithm based on the edge statistics and the morphology. The proposed approach can be divided into four sections, which are vertical edge extraction, background curve and noise removing, edge statistical analysis and morphology-based license plate extraction. The proposed approach is designed to work in a wide range of acquisition conditions, including unrestricted scene environments, different camera-to-car distances, etc. Under the available database, the average accuracy of locating vehicle license plate is 84%. View full abstract»

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  • Automated Control System for Air Pollution Detection in Vehicles

    Publication Year: 2013 , Page(s): 49 - 51
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (180 KB) |  | HTML iconHTML  

    Vehicles have become an integral part of every one's life. Situations and circumstances demand the usage of vehicles in this fast paced urban life. As a coin has two sides, this has its own effects, one of the main side effects being air pollution. Every vehicle will have emission but the problem occurs when it is beyond the standardized values. The primary reason for this breach of emission level being the incomplete combustion of fuel supplied to engine, which is due to the improper maintenance of vehicles. This emission from vehicles cannot be completely avoided but, it definitely can be controlled. With the evolvement of semi-conductor sensors for detecting the various gases, this paper aims at using those semi-conductor sensors at the emission outlets of vehicles which detects the level of pollutants and also indicates this level with a meter. When the pollution/ emission level shoots beyond the already set threshold level, there will be a buzz in the vehicle to indicate that the limit has been breached and the vehicle will stop after a certain period of time, a cushion time given for the driver to park his/her vehicle. During this time period, the GPS starts locating the nearest service stations. After the timer runs out, the fuel supplied to the engine will be cut-off and the vehicle has to be towed to the mechanic or to the nearest service station. The synchronization and execution of the entire process is monitored and controlled by a micro controller. This paper, when augmented as a real time project, will benefit the society and help in reducing the air pollution. View full abstract»

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  • A Note on Authentication Accuracy with Multiple Biometric Images

    Publication Year: 2013 , Page(s): 52 - 55
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (209 KB) |  | HTML iconHTML  

    This paper conducts an analysis on accuracy of biometric authentication. By increasing the number of biometric images for authentication, authentication accuracy is expected to be improved. However, the relation between the number of images and accuracy is not trivial. This paper considers simple algorithms for verification and identification with multiple biometric images for each person. The algorithms are based on the ideas of a majority vote and the mean of similarities for treating results of comparisons with multiple images. The effects of the number of images on the error rates of the algorithms are examined with practical palm print images. The result implies that considering the mean of the similarities with multiple images is useful to improve authentication accuracy. View full abstract»

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  • An Approach to Prediction of Precipitation Using Gini Index in SLIQ Decision Tree

    Publication Year: 2013 , Page(s): 56 - 60
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (255 KB) |  | HTML iconHTML  

    Prediction of rainfall is the essential problem to be solved. The variation in the rainfall is primarily attributed to its association with Humidity, Temperature, Pressure, Wind Speed and Dew Point etc. Several works have been done in this field over the past few decades. An accurate prediction of rainfall events can aid in accurate financial planning of the economy of nation. The unpredictable natural disasters like floods and droughts not only affected the economy of a country but also the lifestyle of people of the countryside. Data mining is a influential approach which helps in extracting hidden information from huge databases and allows decisions to be taken on knowledge mining basis. This paper highlights Supervised Learning in Quest (SLIQ), decision tree algorithm using Gini Index in order to predict the precipitation with an accuracy of 72.3% and is completely based on the historical data. The decision tree is constructed and the classification rules are generated. View full abstract»

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  • Decentralized Control for Intelligent Robot System to Avoid Moving Obstacles

    Publication Year: 2013 , Page(s): 61 - 66
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (439 KB) |  | HTML iconHTML  

    We propose a novel control law to deploy a decentralized multiagent mobile intelligent robot system in a dynamic environment containing moving obstacles. Since a collision to an obstacle causes failure of the robot and may break the whole system, obstacle avoidance is one of the fundamental task for the mobile robot system. Potential based approaches have been widely applied to deploying a mobile robot system for various goals, including obstacle avoidance, coverage maximization and target tracking. However, previous methods consider only a snapshot at each time to decide the dynamics of a robot. Therefore they have limitations in dynamic environments, possibly leading to frequent collisions to obstacles. In contrast, we show that by considering the velocities of the obstacles, the number of collision can be significantly reduced. In our method each robot records a few past histories of sensed obstacles, and based on the record the robot predicts a future trace of the obstacle. We introduce a new dynamics for robots by combining the current state information with the prediction. By extensive experiments, we compare our method with others and show that by our method robots rarely collide with moving obstacles while keeping the potential low. View full abstract»

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  • Social Recommendation in Location-Based Social Network Using Text Mining

    Publication Year: 2013 , Page(s): 67 - 72
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (447 KB) |  | HTML iconHTML  

    This paper intends to create an application that performs the Data Mining with textual information linked to geolocation data. The structure of the information is distributed in heterogeneous and complex scenario that presents a Social Network. The purpose is that on the final extraction of information, the results are worked for Social Recommendation. However, the recommender systems present some failures in the filtering of the results and the way they are suggested to users. Then, the article presents a methodology of social recommendation to Location-Based Social Network with text mining techniques, and expose issues that still need to research more effective and consolidated results. View full abstract»

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