S. Pravin Kumar, N. Sriraam, P. Benakop, B. C. Jinaga
{"title":"Reconstruction of brain electrical impedance tomography images using particle swarm optimization","authors":"S. Pravin Kumar, N. Sriraam, P. Benakop, B. C. Jinaga","doi":"10.1109/ICIINFS.2010.5578681","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578681","url":null,"abstract":"This paper proposes a particle swarm optimization technique for solving inverse problems to improve the reconstruction of brain electrical impedance tomography (EIT) images. A mesh of 2D head model comprising of 1024 elements is constructed using finite element method (FEM) and the EIT inverse problem is solved by varying the swarm sizes. The performance of the proposed PSO-EIT is evaluated in terms of fidelity measures, such as total relative error and signal to noise ratio (SNR) and the experimental results are compared with other known techniques such as genetic algorithm and modified Newton - Raphson (MNR) method. It can be seen from the experimental results that the proposed PSO-EIT yield significant results in terms of better reconstruction quality compared to other techniques reported in the literature. Thus the PSO-EIT scheme found to be a promising tool for solving reconstruction problem in brain imaging.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128839154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Rajeswari, T. Sangeetha, A.P Natchammai, M. Nandhini, S. Thiruvengadam
{"title":"Performance analysis of pilot aided channel estimation methods for LTE system in time-selective channels","authors":"K. Rajeswari, T. Sangeetha, A.P Natchammai, M. Nandhini, S. Thiruvengadam","doi":"10.1109/ICIINFS.2010.5578723","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578723","url":null,"abstract":"This paper deals with the performance analysis of channel estimation methods for LTE downlink system over time varying mobile environments. The analysis of channel estimation in the presence of interference is also done. Least square frequency domain (LS_Freq), least square time domain (LS_Time), maximum likelihood (ML) and minimum mean square error estimation (MMSE) techniques are focused for different bandwidth by varying the number of resource blocks used in OFDM structure of LTE system. As number of pilots increases with increasing bandwidth, performance of the estimator increases. Computer simulations are used in the comparisons. Linear Interpolation is performed to get the channel estimation of data symbols. Theoretical results are derived for LS_Time and ML techniques. MMSE performs well at low SNR. LS_Time and ML performs well at high SNR as they use the knowledge of number of channel taps. We achieve interference mitigation using channel estimation using repeated interference features obtained from the two types of pilot symbols used with different pilot density. This technique not only makes the channel estimation robust to the time-selectivity of the channel but also reduces the number of pilot subcarriers needed to estimate the channel.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129463876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transmission rate prediction for Cognitive Radio using Adaptive Neural Fuzzy Inference System","authors":"S. Hiremath, Sarat Kumar Patra","doi":"10.1109/ICIINFS.2010.5578727","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578727","url":null,"abstract":"Advances in applications demanding high data rate wireless applications and existing wireless system upgrading has lead to scarcity in spectrum. Unlicensed new technologies like Digital video broadcast (DVB), Digital audio broadcast (DAB), internet, WiMAX etc. launched recently are reaching thousands of customers at rapid speed. Most of the primary spectrum is assigned, so it is becoming very difficult to find spectrum for either new services or expanding existing infrastructure. Present government policies do not allow unlicensed access of licensed spectrum, constraining them instead to heavily populated, interference-prone frequency bands. Cognitive Radio systems promise to handle this situation by utilizing intelligent software packages that enrich their transceiver with radio-awareness, adaptability and capability to learn. In this paper, we present the working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The performance of this is seen to be comparable to neural network based scheme with reduced complexity.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123144827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Joseph, S. Kokulakumaran, K. Srijeyanthan, A. Thusyanthan, C. Gunasekara, C. Gamage
{"title":"A framework for whole-body gesture recognition from video feeds","authors":"C. Joseph, S. Kokulakumaran, K. Srijeyanthan, A. Thusyanthan, C. Gunasekara, C. Gamage","doi":"10.1109/ICIINFS.2010.5578666","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578666","url":null,"abstract":"The growth of technology continues to make both hardware and software affordable and accessible creating space for the emergence of new applications. Rapid growth in computer vision and image processing applications have been evident in recent years. One area of interest in vision and image processing is automated identification of objects in real-time or recorded video streams and analysis of these identified objects. An important topic of research in this context is identification of humans and interpreting their actions. Human motion identification and video processing have been used in critical crime investigations and highly technical applications usually involving skilled human experts. Although the technology has many uses that can be applied in every day activities, it has not been put into such use due to requirements in sophisticated technology, human skill and high implementation costs. This paper presents a system, which is a major part of a project called moveIt (movements interpreted), that receives video as input to process and recognize gestures of the objects of interest (the human whole body). Basic functionality of this system is to receive video stream as input and produce outputs gesture analysis of each object through a staged process of object detection, tracking, modeling and recognition of gestures as intermediate steps.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127997408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A supporting tool for efficient city traffic planning","authors":"R. Koggalage, H. Dissanayake","doi":"10.1109/ICIINFS.2010.5578680","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578680","url":null,"abstract":"Heavily congested roads in city areas are a common problem today. Several attempts to solve this problem by improving road infrastructure or imposing restrictions on motor vehicles entering city areas are not feasible, especially in developing countries like Sri Lanka. This may be due to lack of funds to improve the infrastructure, the objections of the general public on applying restrictions on the inflow of vehicles or difficulties on acquiring lands to construct roads in highly populated areas. Therefore it is important to have a different method to handle traffic congestions. A methodology of handling city traffic in a very efficient way by proper traffic management instead of modifying the road infrastructure is presented in this paper. This is achieved by rearranging the traffic flow in such a way that the interruption to the continuous traffic flow is minimized. A tool was developed using Flow Control Mechanisms, Genetic Algorithms and Graph Theory in order to dynamically suggest improved traffic plans.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127550680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Seamless mobility management and QoS support for multihomed mobile node in heterogeneous wireless networks","authors":"S. Mitra","doi":"10.1109/ICIINFS.2010.5578717","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578717","url":null,"abstract":"In the next generation wireless network a mobile node will be multihomed to utilize multiple wireless access technology simultaneously. The seamless mobility management and quality of service support are the challenging issues for such a heterogeneous wireless network. Each multihomed mobile node has multiple care of addresses corresponding to multiple network interfaces associated with it. An address server is maintained in the proposed scheme to provide a suitable care of address of any desired multihomed mobile node to a corresponding node for session initiation which in turn helps to achieve seamless mobility and to balance the load among the various network interfaces. A connection set up module is maintained in the proposed scheme to establish a connection depending upon the availability of network capacity, the priority of waiting connection and the user satisfaction which in turn helps to improve the quality of service per user in terms of user satisfaction. The performance of the proposed scheme is evaluated in terms of the percentage of network usage, delay per network interface, application blocking probability per traffic class and user satisfaction.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125844592","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance evaluation of genetic algorithm assisted synchronous Direct Sequence CDMA systems","authors":"P. Pradhan, Sarat Kumar Patra","doi":"10.1109/ICIINFS.2010.5578718","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578718","url":null,"abstract":"In this paper, we applied genetic algorithm (GA) scheme as a suboptimal detection of a bit-synchronous code division multiple access (CDMA) systems over a Gaussian channel. The GA scheme attempts to search for the user's transmitted bit sequence that optimizes the correlation matrix employed. Simulation results showed that the Bit Error Rate (BER) performance of our proposed multiuser detector is better than those of conventional receivers like Minimum Mean Square Error(MMSE), Matched Filter(MF) and Rake Receivers.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127475005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of DG model and load model on placement of multiple DGs in distribution system","authors":"K. Vinothkumar, M. P. Selvan, S. Srinath","doi":"10.1109/ICIINFS.2010.5578652","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578652","url":null,"abstract":"Placement of multiple distributed generators (DG) in distribution system is addressed in this paper. A multiobjective index, formulated by combining the appropriately weighed diverse performance indices, is evaluated using Genetic Algorithm to assess the suitable locations and sizes of DG units to be placed. The impact of DG model on DG siting and sizing are also addressed considering different voltage dependent load models. The simulation study is carried out on a typical 25 bus Indian system and the results of the study show that the DG model significantly affects the placement location, size of the unit and penetration level (sum of the size of DG units) in a distribution system.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124286888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Semasinghe, Keerthi Bandara, H. Dharmagunawardhane, K. Narampanawe, E. Ekanayake
{"title":"Analysis of multimode plastic optical fiber as a cost effective transmission medium","authors":"S. Semasinghe, Keerthi Bandara, H. Dharmagunawardhane, K. Narampanawe, E. Ekanayake","doi":"10.1109/ICIINFS.2010.5578738","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578738","url":null,"abstract":"Study on a multimode plastic optical fiber as a cost effective alternative for expensive glass fiber is presented. An analysis of PMMA (Polymethylmetacrylate) and PFBVE (Perfluoro-butenylvinylether) plastic fibers was carried out in order to evaluate their characteristics and to evaluate their capability to be used in some specific applications. Based upon the results, two copper to fiber media converters for RS232 and E1 standards, which support the characteristics of the considered media, were developed. These converters address very effectively for converting electrical signals to optical plastic fiber medium. The results reveal that these optical fiber converters function very satisfactorily and prove its usability in an effective and low cost manner in data communication ranging up to the maximum possible bit rate. These media converters can overwhelm the existing media converters due to their low cost, high reliability, simplicity, ability to plug and play, reduction of delays and reduction of size.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122486734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Refractive index of drifting ionized plasma with variable electron collision frequency in the Earth's upper atmosphere","authors":"S. Karia, K. Pathak","doi":"10.1109/ICIINFS.2010.5578735","DOIUrl":"https://doi.org/10.1109/ICIINFS.2010.5578735","url":null,"abstract":"The refractive index of an ionized medium in a magnetic field is complex. The formula for the refractive index is the cornerstone of the theory useful to establish the background study for radio wave propagation in uniform magneto-plasma. In the present paper, the expression for refractive index have been derived by considering Ionosphere as an anisotropic media with a constant drift so that it could be applied to any type of irregularities observed in the ionosphere. The formula has been derived taking variation in electron collision frequency with electron speed in drifting plasma. This expression is useful and helps to study the propagation characteristics of drifting plasma. The relativistic drift velocities of the plasma, generally reached by astrophysical plasma, will change the refractive index of the plasma considerably for example during re-entry of space vehicle in earth's atmosphere, the creation of high density plasma medium affects the radiated signal from the space craft. The medium of upper atmosphere gets affected under this condition.","PeriodicalId":106953,"journal":{"name":"2010 5th International Conference on Industrial and Information Systems","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}