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Emerging Technologies (ICET), 2013 IEEE 9th International Conference on

Date 9-10 Dec. 2013

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Displaying Results 1 - 25 of 80
  • Author index

    Publication Year: 2013 , Page(s): 1 - 3
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  • [Front cover]

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  • [Front matter]

    Publication Year: 2013 , Page(s): 1 - 2
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  • 2013 IEEE 9th International Conference on Emerging Technologies [Copyright notice]

    Publication Year: 2013 , Page(s): 1
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  • Foreword

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  • Development of an efficient system for vehicle accident warning

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5207 KB) |  | HTML iconHTML  

    Vehicle accidents are widespread these days. They cause loss of invaluable human lives as well as huge loss of property. An efficient accident avoidance system has been a great need since the invention of motor vehicles. We propose a vehicle accident warning system based on image processing techniques. It uses two criteria for enabling accident warning. These are driver drowsiness and front vehicle distance from our vehicle. Drowsiness, especially in long distance journeys, is a key factor in traffic accidents. We use visually observable facial behaviors as indicators of driver drowsiness. For face tracking, we use Viola-Jones face detection algorithm. The eyes region is found using a novel approach to check whether they are close or open. Other image processing techniques are used to calculate distance of front vehicles. Along with this software design, an easy to build hardware is used to complete the said system to be used in realtime. To evaluate the effectiveness of proposed system, a number of drowsy persons were tested and evaluated. Experimental results show high accuracy in each section which makes the system efficient and reliable for accident warning. View full abstract»

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  • Adaptive NeuroFuzzy damping control for power system stability enhancement

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5208 KB) |  | HTML iconHTML  

    Efficient damping control devices installed in a power system play a vital role in transient stability improvement. This paper presents a comprehensive approach to design and compare the direct and indirect NeuroFuzzy wavelet control schemes for supplementary control of Static Synchronous Series Compensator (SSSC) to damp power system oscillations. Machine rotor speed deviation and its derivative are used for online adaptation of parameters of the control system. The performance of the proposed control scheme is optimized for control effort smoothness by providing the online sensitivity measure to adaptation mechanism. The robustness of the proposed control system is validated using nonlinear time domain simulations and performance indices. Various faults and operating conditions are used to justify the online stability of the system using Single Machine Infinite Bus (SMTB) system. Simulation results of the proposed control schemes are compared with Adaptive NeuroFuzzy Takagi-Sugeno Kang Control (ANFTSC). View full abstract»

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  • An experiment in automatic content generation for platform games

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4988 KB) |  | HTML iconHTML  

    Computer platform games are an innovative measure to improve the strategic abilities of the player. However due to the repetitive nature of game levels, the players lack interest. Procedural Content Generation (PCG) is a technique to overcome such issues. PCG generates endless and adaptive levels but most of the PCG techniques have catastrophic failures that make the game unplayable. The focus of our work is to produce reliable levels for platform games. For this purpose, a well known game Mario was selected. In our previous effort, we identified some catastrophic failures in offline level generation for Mario and now we present a novel technique that is catastrophic failure free and generates adaptive and reliable levels. This content generation process will insure dynamic difficulty adjustment (DDA) in games as players start with different skill levels and games become unexcitingly easy for some players and disturbingly difficult for others. View full abstract»

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  • A low profile UWB vertical strip monocone antenna

    Publication Year: 2013 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3235 KB) |  | HTML iconHTML  

    Based on the principle of discone antenna a new UWB monocone antenna is presented. Instead of using traditional cone geometry as a radiator for discone, planar vertical strips of aluminum are used as an antenna radiator. This results in wide impedance characteristic and miniaturization of antenna. The simulated model has broadband impedance bandwidth 20:1 lform 550MHz to 20 GHz with Omni directional radiation pattern. The N type panel mount connector is used for antenna feeding. As result of a low profile, antenna can be easily mounted for portable application. The measured results of antenna are found to be in good agreement with simulation results. View full abstract»

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  • Classification of colon biopsy images based on novel structural features

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (7013 KB) |  | HTML iconHTML  

    Microscopic analysis of colon biopsy samples is a common medical practice for identifying colon cancer. However, the process is subjective, and leads to significant inter-observer/intra-observer variability. Further, pathologists have to examine many biopsy samples per day, therefore, factors such as expertise and workload of the histopathologists also affect the diagnosis. These limitations of the manual process result in the need of a computer-aided diagnostic system, which can help the histopathologists in accurately determining cancer. Image classification is one of such computer-aided techniques, which can help in efficiently identifying normal and malignant colon biopsy samples without the need of subjective involvement of histopathologists. In this work, we propose a colon biopsy image classification technique, wherein two novel structural feature types, namely, white run-length features and percentage cluster area features have been introduced These features are calculated for each colon biopsy image. The features are reduced using principal component analysis (PCA). The original and the reduced feature sets are then given as input to random forest, rotation forest, and rotation boost classifiers for classification of images into normal and malignant categories. The proposed technique has been evaluated on 174 colon biopsy images, and promising performance has been observed in terms of various well-known performance measures such as accuracy, sensitivity and specificity. The proposed technique has also been proven to be better compared to previously published techniques in the experimental section. Further, performance of the classifiers has been evaluated using ROC curves, and area under the curve (AUC). It has been observed that rotation boost classifier in combination with PCA based feature selection has shown better results in classification compared to other classifiers. View full abstract»

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  • RFDF design for a class of time delay systems with unknown inputs and parameter uncertainties using bicausal transformation

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5757 KB) |  | HTML iconHTML  

    This paper tackles with the design of robust fault detection filter (RFDF) for a class of linear time invarient (LTI) systems with constant output state time delays including the effects of both parameter uncerttainties and parameter uncertainties. The approach used is to remove the time delays of the system i.e. to transform it to a delay free system by using bicausal change of coordinates approach. Then, design a RFDF using a multiobjective optimization technique for delay-free linear time invarient system which is equivalent to the original time delay system. The design problem of RFDF is formulated as a standard H model matching problem and is solved by using H, optimization LMI techniques. For the detection of the fault, an adaptive threshold which depends on the inputs is determined finally. In the end, a numerical example is used to demonstrate the validity of the design approach. View full abstract»

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  • Dual U-slot triple band microstrip patch antenna for next generation wireless networks

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5058 KB) |  | HTML iconHTML  

    This paper presents a design, simulation and optimization study of a dual U-slot triple-band microstrip patch antenna. The designed antenna generates the triple frequency bands of 2.46GHz, 3.28GHz and 5.38GHz which can be used in the IEEE 802.16 WiMax and next generation wireless network applications. The achieved gains/bandwidths from the designed antenna for the WiMax bands are 4.2dBi/2.31%, 2.7dBi/2.41% and 1.5dBi/2.49% respectively. The proposed antenna is designed using FR4 substrate with transmission-line feeding method. A detailed simulation study is conducted to understand the behavior of the two U-slots. It can be seen from the proposed antenna design that every U-slot generates a separate resonance frequency. The third frequency band is generated, when both the U-slots are placed together in a single antenna element. A bridging element is also used to shift the three frequencies to lower bands. The proposed antenna is designed using Agilent ADS Momentum simulator. The E-plane and H-plane patterns in the results validates that the design is well-adapted to the desired triple-bands. The return loss (S11) characteristics for the triple-bands are -18.74dB at 2.46GHz, -19.91 dB at 3.28GHz and -18.98dB at 5.38GHz respectively which suggest good antenna performance. The proposed antenna can be used in future as a template to form larger arrays. View full abstract»

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  • Exhaust plume flow visualization for qualitative analysis of engine combustion Performance

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5433 KB) |  | HTML iconHTML  

    This work explores use of Thermal Infrared Image based Flow Visualization (TITFV) for qualitative analysis of gasoline engine combustion performance. It proposes determining engine combustion performance through analysis of the exhaust plume turbulence and radiation extinction patterns. The employed methodology requires estimating the point spread function (PSF) prevailing in a LWTR image and using the PSF estimates for enhancing the engine exhaust plume LWIR images. Influence of exhaust plume composition on the plume flow characteristics, made evident by the turbulence and radiation extinction patterns, is then ascertained. The observed plume flow characteristics and underlying flow patterns are used to qualitatively determine the engine combustion performance. Results suggest that engine exhaust flow visualization can help in qualitative analysis of combustion performance from a distance and our reliance on photochemical-based analysis of gasoline engine combustion efficiency can be reduced. Thus a time consuming and untidy process, difficult to be carried out in real life situations, may be replaced with a swift and cleaner one. View full abstract»

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  • Lifetime analysis and BER performance trade-off in Wireless Sensor Networks and Cooperative Wireless Networks

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4458 KB) |  | HTML iconHTML  

    The Lifetime extension of battery operated devices is a key design issue that allows uninterrupted exchange of information among nodes. In this paper a general framework of network lifetime and bit error rate (BER) performance trade-off in Wireless Sensor Networks (WSN) and Cooperative Wireless Networks (CWN) is proposed. The simulation results suggests that in case of WSN, the BER decreases with the increase in the number of sensors. Also it is observed that picking the sensor with the maximum lifetime is no longer an optimal scheme in a sense of minimizing the BER. The lifetime performance of CWN also increases with the number of sensors and its BER decreases with the increase in the number of sensors but it is shown that the decrease in the BER is not proportional to the increase in the network lifetime as the number of sensors exceeds to a certain limit. View full abstract»

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  • A wideband power divider for microwave applications

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4192 KB) |  | HTML iconHTML  

    A wideband power divider on single layer microstrip technology is proposed, analyzed and fabricated. The proposed divider is designed by using two-section impedance transformers with an input and two symmetrical output extension lines. The analysis of the power divider is performed by applying transmission line theory. Better return loss and isolation factor is demonstrated over 50% impedance bandwidth by applying -15 dB bandwidth criterion. The prototype of the proposed power divider is fabricated and tested to verify the design and it has been noticed that the simulated results are in agreement with the measured data. View full abstract»

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  • Data-reusing-based adaptive algorithm for active noise control of impulsive noise sources

    Publication Year: 2013 , Page(s): 1 - 6
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (6223 KB) |  | HTML iconHTML  

    In this paper we consider active noise control (ANC) of impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non-Gaussian stable process for which second order moments do not exist. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on second order moment of error signal, and hence, becomes unstable for the impulsive noise. Recently we have proposed variants of the FxLMS algorithm where improved performance has been realized either by thresholding the input data or efficiently normalizing the step-size for adaptation. In the practical ANC systems, these thresholding parameters need to be estimated offline and cannot be updated during online operation of ANC systems. Furthermore, normalizing the steps-size for an impulsive noise source would essentially freeze the adaptation for very large impulses. In order to solve these problems, in this paper we propose a novel approach for ANC of impulsive noise sources. The proposed approach is based on data-reusing (DR) type adaptive algorithm. The main idea is to improve the stability by normalizing the step-size, and improve the convergence speed by reusing the data. The computer simulations are carried out to verify the effectiveness of the proposed algorithm. View full abstract»

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  • L-shaped multiband microstrip patch antenna for DCS and WLAN applications

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (3659 KB) |  | HTML iconHTML  

    This paper presents performance of a coaxially-fed L-shaped multiband microstrip patch antenna for DCS, Wi-Fi Security (IEEE 802.11-2012) and WLAN applications. The proposed antenna has been designed by etching L-shaped structure on a rectangular patch. In order to achieve the desired bandwidth, the proposed antenna is designed using thick substrate FR4. Ansoft HFSS simulation showed that the proposed design exhibits return loss of -17dB, -28dB and -22dB at 1.70-1.75 GHz, 3.69-3.78 GHz and 5.08-5.25 GHz respectively and VSWR <; 2 for all the three bands. Further, a gain of 1.2dB, 1.8dB and 7.05dB are noted for bands of interest. The observed characteristics suggest that the proposed antenna can be employed in a modern communication system having constraints in size and weight. View full abstract»

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  • Power system stabilty enhancement using Adaptive NeuroFuzzy Control for UPFC

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5625 KB) |  | HTML iconHTML  

    Interconnected power system is a dynamic system and consistently exposed to disturbances. In the absence of inherited damping torque, these disturbances result in Low Frequency Oscillations, which can endanger the system security and stable operation. In order to increase the network stability, the exploitation of flexible AC transmission systems devices has become more and more significant. The Unified Power Flow Controller (UPFC) can effectively damp power system oscillations with addition of supplementary controller. This research work proposes Takagi Sugeno Kang (TSK) fuzzy system based Adaptive NeuroFuzzy Controller (ANFC) for UPFC using conjugate gradient algorithm which makes the system computationally efficient with less memory requirement and fast convergence speed. The effectiveness of control scheme is studied using simulations of two machines test system with different test scenarios. Simulation results and performance comparison with PID controller confirms the effectiveness of proposed supplementary control scheme to enhance transient stability. View full abstract»

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  • A study of thermodynamics and bond graph modelling of evaporation in infant incubator

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4751 KB) |  | HTML iconHTML  

    The modelling of physical systems is very important phenomena in today's world due to easy understanding of their dynamics. There are several methods to model the physical systems, one of which is the bond graph technique which is the graphical representation of the physical dynamics of the systems. In this paper, we have modelled the heat mechanism of a biomedical baby incubator that is used to keep babies warm and safe from infections. There are four types of heat transfer mechanism in baby incubator which are conduction, convection, evaporation and radiation. In this study, we have modelled the evaporation mechanism through Pseudo bond graph technique using 20-Sim software package. Later on we have designed a PID Controller to control and monitor the characteristics of evaporation. Our simulation results shows that a baby incubator as an open system can be modelled and analysed for better design using bond graph simulations. View full abstract»

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  • A log-periodic microstrip patch antenna design for dual band operation in next generation Wireless LAN applications

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4676 KB) |  | HTML iconHTML  

    In this paper, the design and simulation study of a dual-band inset-fed log-periodic microstrip patch antenna is presented for next generation Wireless LANs. The microstrip antennas are preferred for applications where small size antennas are required which leads to the drawback like narrow bandwidth. To overcome this shortcoming in microstrip antennas, several design techniques are proposed one of which is log-periodic antenna design which is studied in this paper. The aim of this study is to propose an antenna design that can operate at both Wireless LAN frequency bands of 2.4GHz and 5GHz. The designed antenna consists of four radiating elements which cover IEEE 802.11 a/b/g Wireless LAN bands. Two inset-fed antenna elements are used for single frequency band i.e. for 2.4GHz and 5GHz bands. The dimensions of single element were calculated using transmission-line model. The layout of the antenna was simulated in momentum - an EM tool of Agilent's Advance design (ADS) system simulator. View full abstract»

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  • Region of interest (ROI) based scalable multiple description image coding using MDSQ-SR

    Publication Year: 2013 , Page(s): 1 - 5
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5007 KB) |  | HTML iconHTML  

    In this paper a novel region of interest (ROI) based scalable multiple description image coding technique using multiple description scalar quantizer with successive refinement (MDSQ-SR) is proposed. Visual attention model using graph based visual saliency is used to find the region of interest in the image. ROI based scalable multiple descriptions are then generated by selecting different refinement layers of the side quantizer of MDSQ-SR for the interested and uninterested regions of the image. More number of refinement layers are selected for the interested part as compared to the uninterested part However, the different refinement layer selection is performed in such a way that the rate distortion constraints of the multiple description coding are satisfied i.e. the joint decoding quality is better than the side decoding quality at particular rate. The proposed scheme is evaluated under lossless and lossy channel conditions. In lossless channels conditions, PSNR of the decoded image using region of interest based scalable multiple description image coding is increased by 0.6 dB when compared with scalable multiple description image coding using MDSQ-SR. The average PSNR improvement of the proposed scheme is almost 0.7dB under lossy channel conditions. View full abstract»

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  • Formal approach for compliance rules checking in business process models

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5843 KB) |  | HTML iconHTML  

    The business process models should comply with a set of rules describing the operations, policies and constraints that an organization must respect under financial authorities. However, the large number of rules and their frequency of changes make the traditionally used manual compliance checking a time-consuming task. As a result an automated compliance checking should be adopted. This paper proposes a formal approach for automated compliance checking. It proposes to map BPMN models directly to finite state machines (i.e., Kripke structures) and to express the compliance rules in a graphical language for better understandability. Subsequently, these are translated into linear temporal logic formulae for their integration. The compliance of business process models can be verified by means of model checking technology. The main goal is to increase the efficiency of the deployment of business process models while minimizing the risks and cost of the compliance inspection. View full abstract»

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  • Fault tolerant control using event based switching

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4680 KB) |  | HTML iconHTML  

    This paper addresses a technique to keep plant in working condition after actuator/sensor has failed. For sensor fault event based switching technique between redundant sensors is presented. In case of actuator fault control structure reconfiguration is sought which keeps plant operational. Control structure re-configuration results in a additional controller which generates input for faulty plant based on plant and nominal controller output Stability analysis for the reconfigured system is also performed. View full abstract»

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  • Computational intelligence and safe reduction of test suite

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (5527 KB) |  | HTML iconHTML  

    Systems are frequently regression tested during the maintenance phase due to corrective, preventive, adaptive or perfective actions. Regression testing is used to prevent the undesirable effects of these changes on the previously tested version. Due to these changes, new test cases become part of the test suite making it huge and inefficient for `retest all' strategy. The ultimate solution of this problem is optimization or reduction of the test suite. Computational Intelligence (CI) based approaches like evolutionary computation, fuzzy logic, neural networks and swarm optimization have been used for test suite reduction. Optimization approaches reduce the test suite by compromising its safety. Ideally optimization of test suite must guarantee safe reduction. In this work, we have optimized the test suite using some CI based approaches and then analysed the test suite for `safe reduction'. Safe reduction can be gauged using control flow graphs. Test cases of optimal solutions were traversed on these graphs. We found that these solutions partially cover control flow graph. This showed that optimal solutions returned by CI based approaches except fuzzy logic are not safe and will be inadequate for regression testing. View full abstract»

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  • Actuator fault diagnosis and isolation in vehicle active suspension system

    Publication Year: 2013 , Page(s): 1 - 6
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (4749 KB) |  | HTML iconHTML  

    In this paper actuator fault diagnosis problem in active vehicle suspension system is investigated. Full car model is used in the study. A fault diagnosis approach based on Unknown input observer (UIO) is used for detection of actuator faults. A bank of observers is used to design a fault isolation scheme for actuator faults. View full abstract»

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