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Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on

Date 17-19 Dec. 2010

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Displaying Results 1 - 25 of 99
  • [Front cover]

    Page(s): c1
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  • [CD label]

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  • [Back cover]

    Page(s): c4
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  • Brief author index

    Page(s): 1 - 7
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  • Support

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  • Detailed author index

    Page(s): 1 - 28
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  • Message from the General Chair

    Page(s): 1 - 2
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  • Hub page - 2010 Fifth International Conference on Information and Automation for Sustainability [Breaker Page]

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  • Committee members

    Page(s): 1 - 2
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  • Session list

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  • Table of contents

    Page(s): 1 - 26
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  • Technical Program Committee (TPC)

    Page(s): 1 - 3
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  • Mobile based GIS for dynamic map generation and team tracking

    Page(s): 1 - 7
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (363 KB) |  | HTML iconHTML  

    We present an effective solution for both digital map generation and real time user tracking for teams operating in hazardous environments or unfamiliar territory. The system is based on the client server model, where the client is a GPS enabled mobile phone which is capable of capturing coordinates and serving dynamic maps to the user. The maps plot the team's navigational routes and enables real time tracking of each other. The server builds a GIS at the back end based on the data sent by the users, and also develops maps on demand. The system is implemented with simple hardware and uses the available GPRS network for data gathering. This enables the system to be used both in hazardous environments and by the general public. View full abstract»

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  • Design and implementation of edge detection algorithm in dsPIC embedded processor

    Page(s): 8 - 13
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1418 KB) |  | HTML iconHTML  

    The research presented here is an attempt to use a very basic, low cost and non-specialized microcontroller for image processing tasks. The applications emanating from such an attempt will result in inexpensive face detection, intelligent motion sensors to low cost vehicle counting systems. We have been able to develop a system based on Microchip dsPIC microcontroller that implements edge detection of still images. Hardware-based signal processors such as Texas Instrument DSP (Digital Signal Processing) or Field Gate Arrays (FPGA) are generally an expensive solution for image processing applications. On the other hand a conventional 8-bit microcontroller doesn't have enough capability to handle memory intensive DSP algorithms. In this regard, Microchip offers a tradeoff between cost and performance. Although performance does not compete with TI DSPs or FPGAs, the proposed system yet provides a sound platform to perform Signal processing directly on embedded hardware. Our research presents a preliminary approach to perform any type of image processing task using microchip 16-bit Microcontrollers and 16-bit digital signal controllers. Even though this attempt is aimed at Edge Detection, the research opens up possibilities for numerous other algorithms of signal and image processing that can be implemented using the same low cost hardware. View full abstract»

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  • A formal model for masquerade detection software based upon natural mimicry

    Page(s): 14 - 19
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (194 KB) |  | HTML iconHTML  

    This paper is about the development of a framework for the formal certification of software for masquerade detection based upon natural mimicry. A masquerade is when an intruder mimics a genuine user in order to compromise the security of a computer system. The framework consists of looking at mimicry in the natural world. Based on this, a model for mimicry is developed based on the principle of indiscernibility. This is followed by a look into the requirements for masquerade detection software. A formal model for an agent for masquerade detection is then derived which discerns the static attributes of the user as well as detects anomalies in the dynamic user behavior via a statistical classifier. This agent is then used for masquerade detection in the Human Machine Interface (HMI) of an industrial automation network. View full abstract»

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  • Application of rectangular features for the localization of fertile material in plant images

    Page(s): 20 - 25
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (1284 KB) |  | HTML iconHTML  

    Analysis of fertile material such as flowers and fruit is a key factor in the proper identification of plant species. Despite object recognition being a mature research area, the use of it in automated plant identification is still relatively new. This paper describes a novel method of detecting fertile material in plant images using rectangular features. Rectangular features are obtained for the grayscale image, the J value image, the magnitude and angle of the gradient of the image. From these, the features with the best performance are selected based on their ability to detect fertile material (flowers) and non-fertile material (leaves). Based on performance, the rectangular features of the grayscale image and J value image are used. Multiple Support Vector Machine (SVM) classifiers with different kernels are tested and the final result is obtained using classifier voting based on the confidence of each classifier. After applying the classifier to the entire image, regions of interest of fertile material are isolated and post processed. View full abstract»

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  • An evaluation methodology for English to Sinhala machine translation

    Page(s): 31 - 36
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (410 KB) |  | HTML iconHTML  

    This paper presents evaluation methodology for English to Sinhala machine translation system. The English to Sinhala machine translation system has been developed by using Multi Agent Approach and powered through the concept of "Varanegeema". Translation system works through the communication among nine agents namely English Morphological Analyzer Agent, English Parser Agent, English to Sinhala Base Word Translator Agent, Sinhala Morphological Generator Agent, Sinhala Parser agent, Transliteration agent, Intermediate Editor agent, Message Space Agent and Request agent. The evaluation was conducted through three steps. As the first step, evaluation was conducted through the white box testing approach and tested each module in the machine translation system through the developed testing tools. Then, evaluated the system performance and calculated the error rate through the result of the evaluation test bed. Finally, Intelligibility and the Accuracy test will be conducted through the human support. The experimental result shows 89% accuracy of the overall system and 7.2% word error rate and the 5.4% sentence error rate. Details of the evaluation and results are given in the paper. View full abstract»

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  • Tutorial: Multipath support in IP networks

    Page(s): 37 - 38
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (162 KB) |  | HTML iconHTML  

    Networked devices are often equipped with multiple interfaces. Legacy routing and transport protocols only support the transport of data over a single interface resp. paths. This tutorial discusses extensions for IP and TCP in order to support multiple interfaces. Multihoming and mobility management allow the simultaneous usage of interfaces by independent application data flows, while multipath transport also supports the transfer of a single flow over multiple interfaces by splitting the flow at the sender and reassembling it at the receiver. In order to perform this task, extensions of the protocol stack and signalling are required which are discussed in recent drafts at the IETF. View full abstract»

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  • Human perception related distortion metrics for blockiness and blur compression artefacts

    Page(s): 39 - 44
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (317 KB) |  | HTML iconHTML  

    Objective image and video quality evaluations generally provide an overall measure of distortions. Parameter optimization and benchmarking of codecs require evaluating individual distortions. There are not many objective metrics that distinguish individual compression artefacts which are rapid to evaluate and correlate with human perception. The author of the paper presents the correlation that had been established between the metrics of compression artefact distortions that objectively and separately measure blockiness and blur artefacts introduced by image compression codecs. The methodology and the approach use synthetic test patterns specially designed for each of the two artefacts. Evaluation of quality in multimedia applications requires that the distortion metrics be correlated to human perception. One limitation of the previously proposed two metrics was that no correlation was established to human perception. This paper investigates this correlation, using SSIM as a proxy for human perception, demonstrating a strong correlation. View full abstract»

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  • Tutorial on IPTV and its latest developments

    Page(s): 45 - 50
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (594 KB) |  | HTML iconHTML  

    This tutorial presents on IPTV technology. Internet Protocol television (IPTV) is a system through which television services are delivered using the architecture and networking methods of the Internet Protocol suite over a packet-switched network infrastructure. IPTV services may be classified into three main groups: live television, time-shifted programming, and video on demand. IPTV can be viewed on a display with a set-top box that accesses channels, subscription services, on demand and other interactive multimedia services over a secure, end-to-end operator managed broadband IP data network with desired QoS to the public with a broadband Internet connection. This tutorial also discusses the IPTV architecture, network technologies, implementation of IPTV, different types of STBs that are being used with in New Zealand, the standards, different business models, hardware and software of IPTV. View full abstract»

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  • A statistical fuzzy inference system for classifying human constituents

    Page(s): 51 - 57
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (345 KB) |  | HTML iconHTML  

    In this paper, statistical fuzzy inference system based on principal component analysis (PCA) and Fuzzy Expert system for diagnosis of human constituents is introduced. This statistical fuzzy inference system deals with combination of the filtering and classification from measured PCA and Fuzzy expert system technology. This intelligent system has three phases. In acquiring tacit knowledge phase, the model refinement and reasoning for diagnosis of human constituents performed. Tacit knowledge in Ayurvedic subdomain of individual classification has been acquired through a questionnaire and analyzed to identify the dependencies, which lead to make tacit knowledge in the particular domain. In the first place analysis was done using statistical techniques of principal components and the results were not compatible with the experiences of Ayurvedic experts. The result of the modeling of Ayurvedic domain using fuzzy logic has been compatible with the experiences of the Ayurvedic experts. It has shown 77% accuracy in using the tacit knowledge for reasoning in the relevant domain. The development has been done using Visual basic, FLEX expert system shell and the system runs on Windows platform. View full abstract»

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  • Tutorial on digital terrestrial television broadcasting

    Page(s): 58 - 63
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (830 KB) |  | HTML iconHTML  

    This tutorial presents an overview of digital terrestrial television broadcasting (DTTB), its evolution from analogue television to the second generation technologies. Main technologies that form the DTTB infrastructures and services are described in brief. Deployment of advanced coding and modulation techniques to achieve higher data rates and spectral efficiencies are described. A new concept in frequency spectrum management known as digital dividend is described. Implications and issues arising out of this reallocation of television broadcast frequency band is outlined. View full abstract»

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  • Network traffic self similarity measurements using classifier based Hurst parameter estimation

    Page(s): 64 - 69
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (204 KB) |  | HTML iconHTML  

    Network traffic has been shown on numerous occasions to be self similar under normal conditions. This self similar property is however, lost during anomalous conditions such as device failure, congestion and malicious intrusions. Therefore, this loss of self similarity can be used to detect such events. The Hurst parameter (H) is the most widely accepted parameter for determining self similarity. However, an accurate estimate is data and computationally expensive. This paper discusses the potential of using efficient classifier and soft computing based approaches for determining self similarity. Traffic data is obtained for various user activities from genuine browsing to malicious attacks. This data is then analysed for self similarity. The logarithmic normalized histogram of the packet interarrival time is used to obtain a feature set for classification. Various techniques are used to analyse and reduce the feature set. Classification is done using Naive Bayes classifiers and Support Vector Machines (SVM). Artificial Neural Networks (ANN) are also used to estimate the Hurst parameter using function approximation. The results show that classifiers can detect non self similar behaviour with a very high accuracy of up to 100%. View full abstract»

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  • New set of cognitive tasks in EEG based Brain Computer Interface

    Page(s): 70 - 74
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (198 KB) |  | HTML iconHTML  

    A set of new mental tasks that can be used with Brain Computer Interface systems are introduced. New mental tasks are natural to perform for controlling a cursor on a computer screen to select icons. With the help of three healthy subjects, performance of new mental tasks was evaluated and compared with that of popular motor imagery mental tasks. Three subjects who participated in this study showed better or equally good performance with new mental tasks as compared to motor imagery mental tasks. View full abstract»

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  • Affective setting for sustainable E learning in higher education

    Page(s): 75 - 80
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (475 KB) |  | HTML iconHTML  

    Emotions play an essential role in decision making, managing, perceiving and learning and influencing rational thinking process of humans. Emotions are also important in teaching and learning and often find expression in particular ways, such as interactions with others, our interest and motivation in learning. The influence of emotions on learning is still under-emphasized. Continuous and increasing exploration of the complex set of parameters surrounding online learning reveals the importance of the emotional states of learners and especially the relationship between learning and affective behavior. This study aims to recognize learners' affective behavior in real class room environment and relate them in to the e learning environment. The proposed actions were based on the experiment carried out among the Sri Lankan university system regarding the learner behavior during teaching and learning. The results of the experiment have been used for the new developments of the e learning courses and there by the performances of the e learners will enhance accordingly. View full abstract»

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