Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767368
A. Pramanik, P. Banerjee
Development of wireless technologies has enhanced the need for high data rate support from physical layer. The design of the LTE physical layer (PHY) is heavily influenced by the requirements for high peak transmission rate, spectral efficiency, and multiple channel bandwidths. The Orthogonal Frequency Division Multiplexing (OFDM) is based on using multiple narrow band sub-carriers spread over a wide channel bandwidth. The sub-carriers are mutually orthogonal in the frequency domain which mitigates inter symbol interference (ISI). For real channel communication the channel is prone to shadowing, path loss and fading. So for efficient communication the various channel condition should be analyzed. The main aim of the paper is to develop a FPGA based hardware test-bed to create an OFDM communication environment and measure relevant parameters in real channel condition. This system includes the application of FPGA based high speed data transceiver circuits and high speed communication protocol and efficient and effective signal processing and conditioning.
{"title":"Measurement of real channel parameters of FPGA based OFDM system","authors":"A. Pramanik, P. Banerjee","doi":"10.1109/ICECI.2014.6767368","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767368","url":null,"abstract":"Development of wireless technologies has enhanced the need for high data rate support from physical layer. The design of the LTE physical layer (PHY) is heavily influenced by the requirements for high peak transmission rate, spectral efficiency, and multiple channel bandwidths. The Orthogonal Frequency Division Multiplexing (OFDM) is based on using multiple narrow band sub-carriers spread over a wide channel bandwidth. The sub-carriers are mutually orthogonal in the frequency domain which mitigates inter symbol interference (ISI). For real channel communication the channel is prone to shadowing, path loss and fading. So for efficient communication the various channel condition should be analyzed. The main aim of the paper is to develop a FPGA based hardware test-bed to create an OFDM communication environment and measure relevant parameters in real channel condition. This system includes the application of FPGA based high speed data transceiver circuits and high speed communication protocol and efficient and effective signal processing and conditioning.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129788112","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767364
Aniruddha Maiti, A. Mukherjee
Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.
{"title":"Expectation maximization in random projected spaces to find motifs in genomic sequences","authors":"Aniruddha Maiti, A. Mukherjee","doi":"10.1109/ICECI.2014.6767364","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767364","url":null,"abstract":"Expectation Maximization (EM) based techniques are popular in motif finding applications. This work attempts to use a variant of Expectation Maximization Technique in order to reduce the complexity. The iterations of EM are performed in projected spaces to reduce the computation time.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114982628","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767360
N. Tiwary, A. Rathinam, S. Ajitha
This paper presents a Hybrid Fuzzy Proportional Integral controller for the speed control of Brushless DC (BLDC) motor. BLDC motors have many advantages over DC motors and induction motors. A fuzzy controller offers better speed response for start-up while PI controller has good compliance over variation of load torque but has slow settling response. Hybrid controller has an advantage of integrating a superiority of these two controllers for better control performances. In this paper, the classical PI controller is integrated with Fuzzy Logic controller to make hybrid control system with merits of both. Also it presents the comparative study between PI, Fuzzy, and hybrid Fuzzy-PI controller for the same. The dynamic characteristics of BLDC Motor such as speed, torque, current and back EMF are analyzed for varied load torque conditions through simulation under MATLAB SIMULINK environment.
{"title":"Design of Hybrid Fuzzy-PI controller for speed control of Brushless DC motor","authors":"N. Tiwary, A. Rathinam, S. Ajitha","doi":"10.1109/ICECI.2014.6767360","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767360","url":null,"abstract":"This paper presents a Hybrid Fuzzy Proportional Integral controller for the speed control of Brushless DC (BLDC) motor. BLDC motors have many advantages over DC motors and induction motors. A fuzzy controller offers better speed response for start-up while PI controller has good compliance over variation of load torque but has slow settling response. Hybrid controller has an advantage of integrating a superiority of these two controllers for better control performances. In this paper, the classical PI controller is integrated with Fuzzy Logic controller to make hybrid control system with merits of both. Also it presents the comparative study between PI, Fuzzy, and hybrid Fuzzy-PI controller for the same. The dynamic characteristics of BLDC Motor such as speed, torque, current and back EMF are analyzed for varied load torque conditions through simulation under MATLAB SIMULINK environment.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133761807","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767362
Shreyasi Datta, A. Banerjee, A. Konar, D. Tibarewala
Recognition of cognitive context is an important aspect of context aware pervasive computing systems. The present work is aimed at identification of cognitive contexts of human beings from the analysis of their eye movements by acquiring Electrooculogram signals. These signals are represented through Adaptive Autoregressive Parameters, Hjorth Parameters and Wavelet Coefficients as signal features. Classification of the obtained feature spaces is carried out using Support Vector Machine with Radial Basis Function Kernel to distinctly identify a particular class of activity defining a person's cognitive context, achieving an average recognition accuracy of 91.825% for eight types of cognitive activities.
{"title":"Electrooculogram based cognitive context recognition","authors":"Shreyasi Datta, A. Banerjee, A. Konar, D. Tibarewala","doi":"10.1109/ICECI.2014.6767362","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767362","url":null,"abstract":"Recognition of cognitive context is an important aspect of context aware pervasive computing systems. The present work is aimed at identification of cognitive contexts of human beings from the analysis of their eye movements by acquiring Electrooculogram signals. These signals are represented through Adaptive Autoregressive Parameters, Hjorth Parameters and Wavelet Coefficients as signal features. Classification of the obtained feature spaces is carried out using Support Vector Machine with Radial Basis Function Kernel to distinctly identify a particular class of activity defining a person's cognitive context, achieving an average recognition accuracy of 91.825% for eight types of cognitive activities.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126970027","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767359
Sourangsu Banerji, A. Halder, A. Deyasi, Sayan Bose
In this paper, a comparative analysis is made for density of states profile of one-dimensional infinite photonic crystal under the incidence of electromagnetic wave with different polarizations (p- type and s-type). Semiconductor heterostructure is considered as the material for the periodic arrangement, and structural parameters are suitably varied to observe the effect on DOS function, characterized by blueshift and redshift. Adachi's model is considered to incorporate the dependencies of refractive indices on operative wavelength and material composition. Results are plotted with normalized wavelength. Positions of peaks speak about the possible emission/detection wavelength for photonic crystal based laser. Analysis is useful in designing optical memory and micro-laser devices.
{"title":"Comparative study of density of states of 1D photonic crystal for different polarization conditions of incident wave","authors":"Sourangsu Banerji, A. Halder, A. Deyasi, Sayan Bose","doi":"10.1109/ICECI.2014.6767359","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767359","url":null,"abstract":"In this paper, a comparative analysis is made for density of states profile of one-dimensional infinite photonic crystal under the incidence of electromagnetic wave with different polarizations (p- type and s-type). Semiconductor heterostructure is considered as the material for the periodic arrangement, and structural parameters are suitably varied to observe the effect on DOS function, characterized by blueshift and redshift. Adachi's model is considered to incorporate the dependencies of refractive indices on operative wavelength and material composition. Results are plotted with normalized wavelength. Positions of peaks speak about the possible emission/detection wavelength for photonic crystal based laser. Analysis is useful in designing optical memory and micro-laser devices.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727413","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767366
S. Chatterjee, P. Banerjee
The rapid growth in the ubiquitous wireless service has imposed increasing stress on the fixed and limited radio spectrum. Cognitive Radio (CR) is promising solution to the problem of overcrowded and inefficient use of licensed spectrum. In this paper, Interference Temperature (IT) model is used to define the occupancy and availability of a channel. Interference temperature has been proposed by the FCC as a metric for interference analysis. Our goal is to find out the useable receiver bandwidth (BW) portion of available BW. Here we have applied the principle of Hill-Climbing algorithm. By the random selection of portion of a frequency band we have performed necessary experiment and calculated the value of Received signal strength indicator (RSSI) for a given sub-band. We have subsequently used this value to maximize the effective bandwidth of a given system.
{"title":"Hill-Climbing approach for optimizing receiver bandwidth","authors":"S. Chatterjee, P. Banerjee","doi":"10.1109/ICECI.2014.6767366","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767366","url":null,"abstract":"The rapid growth in the ubiquitous wireless service has imposed increasing stress on the fixed and limited radio spectrum. Cognitive Radio (CR) is promising solution to the problem of overcrowded and inefficient use of licensed spectrum. In this paper, Interference Temperature (IT) model is used to define the occupancy and availability of a channel. Interference temperature has been proposed by the FCC as a metric for interference analysis. Our goal is to find out the useable receiver bandwidth (BW) portion of available BW. Here we have applied the principle of Hill-Climbing algorithm. By the random selection of portion of a frequency band we have performed necessary experiment and calculated the value of Received signal strength indicator (RSSI) for a given sub-band. We have subsequently used this value to maximize the effective bandwidth of a given system.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121291312","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767386
R. Lorenzo, S. Chaudhury
Leakage power consumption has become serious concern for circuit designers. It is expected that leakage power will dominate the total power dissipation in future VLSI circuits. We here propose a new design named “NMOS leakage feedback” which reduces leakage current while saving exact logic state. The circuit technique includes addition of NMOS helper transistors to both pull-up and pull-down paths in order to reduce leakage current without affecting the other parameters of the circuit. Based on simulation with inverter chain using 32nm Berkeley predictive technology model, NMOS leakage feedback approach achieves less area, power and delay over leakage feedback approaches with proper W/L ratio.
{"title":"Analysis of leakage feedback technique","authors":"R. Lorenzo, S. Chaudhury","doi":"10.1109/ICECI.2014.6767386","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767386","url":null,"abstract":"Leakage power consumption has become serious concern for circuit designers. It is expected that leakage power will dominate the total power dissipation in future VLSI circuits. We here propose a new design named “NMOS leakage feedback” which reduces leakage current while saving exact logic state. The circuit technique includes addition of NMOS helper transistors to both pull-up and pull-down paths in order to reduce leakage current without affecting the other parameters of the circuit. Based on simulation with inverter chain using 32nm Berkeley predictive technology model, NMOS leakage feedback approach achieves less area, power and delay over leakage feedback approaches with proper W/L ratio.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130687138","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767376
Monalisa Pal, A. Khasnobish, A. Konar, D. Tibarewala, R. Janarthanan
In this work we establish the fact that using Electroencephalogram (EEG) with tactile signal during dynamic exploration accomplishes object shape recognition better than using the either alone. Adaptive auto-regressive coefficients and Hjorth parameters are used as features which are classified using linear Support Vector Machine, Naïve Bayes, k-nearest neighbor and tree classifiers. Following this, the space complexity to store the high-dimensional tactile features is identified. ReliefF algorithm is used as a dimension reduction technique. A polynomial of order 6 is used to fit an EEG feature to a corresponding tactile feature. These pre-fitted polynomials are used to predict the EEG features in situation where EEG measuring device is not present. Finally we note that using these predicted features along with the tactile features yields enhanced classification accuracies.
{"title":"Performance enhancement of object shape classification by coupling tactile sensing with EEG","authors":"Monalisa Pal, A. Khasnobish, A. Konar, D. Tibarewala, R. Janarthanan","doi":"10.1109/ICECI.2014.6767376","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767376","url":null,"abstract":"In this work we establish the fact that using Electroencephalogram (EEG) with tactile signal during dynamic exploration accomplishes object shape recognition better than using the either alone. Adaptive auto-regressive coefficients and Hjorth parameters are used as features which are classified using linear Support Vector Machine, Naïve Bayes, k-nearest neighbor and tree classifiers. Following this, the space complexity to store the high-dimensional tactile features is identified. ReliefF algorithm is used as a dimension reduction technique. A polynomial of order 6 is used to fit an EEG feature to a corresponding tactile feature. These pre-fitted polynomials are used to predict the EEG features in situation where EEG measuring device is not present. Finally we note that using these predicted features along with the tactile features yields enhanced classification accuracies.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114203094","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767382
Debasish Mondal
This paper aims to design a nonlinear control scheme for a Static Var Compensator (SVC) in order to improve dynamic stability in a Single Machine Infinite Bus (SMIB) power system. The nonlinear model of the SMIB system is exactly linearized applying feedback linearization method, and the optimal control law is estimated by the Linear Quadratic Regulator (LQR) principle. The performance of the proposed nonlinear controller is compared with the performance of a conventional controller whose parameters are optimized through Genetic Algorithm (GA). The results and effectiveness of the proposed control schemes are presented employing time domain simulation and analysis. It has been observed that, in comparison with the conventional controller, significant improvements in dynamic stability of the test power system are achieved by the proposed nonlinear control strategy.
{"title":"SVC nonlinear optimal control with comparison to GA based conventional control in power system stability improvement","authors":"Debasish Mondal","doi":"10.1109/ICECI.2014.6767382","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767382","url":null,"abstract":"This paper aims to design a nonlinear control scheme for a Static Var Compensator (SVC) in order to improve dynamic stability in a Single Machine Infinite Bus (SMIB) power system. The nonlinear model of the SMIB system is exactly linearized applying feedback linearization method, and the optimal control law is estimated by the Linear Quadratic Regulator (LQR) principle. The performance of the proposed nonlinear controller is compared with the performance of a conventional controller whose parameters are optimized through Genetic Algorithm (GA). The results and effectiveness of the proposed control schemes are presented employing time domain simulation and analysis. It has been observed that, in comparison with the conventional controller, significant improvements in dynamic stability of the test power system are achieved by the proposed nonlinear control strategy.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115981966","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}
Pub Date : 2014-03-17DOI: 10.1109/ICECI.2014.6767361
U. Maji, S. Pal
Automatic detection of different cardiac abnormalities is an emerging field of study in assistive diagnosis technology for cardiac diseases. A study on the feasibility of automatic detection of Atrial Flutter (AFL) based on time and frequency domain features has been presented in this paper to prevent the serious heart failure by detecting it at early stage. The proposed algorithm is developed based on feature subsets of a set of statistical time-frequency-domain parameters by using phase rectified signal average (PRSA) method. Classification of the abnormality using the derived features has been performed with the help of two class clustering method by Support Vector Machine (SVM). This classifier is tested on 382 and 587 numbers of AFL and normal cardiac cycles respectively taken from MIT-BIH Arrhythmia database. Satisfactory result is obtained as the 96% sensitivity and 98% specificity is observed.
{"title":"Detection of Atrial Flutter using PRSA","authors":"U. Maji, S. Pal","doi":"10.1109/ICECI.2014.6767361","DOIUrl":"https://doi.org/10.1109/ICECI.2014.6767361","url":null,"abstract":"Automatic detection of different cardiac abnormalities is an emerging field of study in assistive diagnosis technology for cardiac diseases. A study on the feasibility of automatic detection of Atrial Flutter (AFL) based on time and frequency domain features has been presented in this paper to prevent the serious heart failure by detecting it at early stage. The proposed algorithm is developed based on feature subsets of a set of statistical time-frequency-domain parameters by using phase rectified signal average (PRSA) method. Classification of the abnormality using the derived features has been performed with the help of two class clustering method by Support Vector Machine (SVM). This classifier is tested on 382 and 587 numbers of AFL and normal cardiac cycles respectively taken from MIT-BIH Arrhythmia database. Satisfactory result is obtained as the 96% sensitivity and 98% specificity is observed.","PeriodicalId":315219,"journal":{"name":"International Conference on Electronics, Communication and Instrumentation (ICECI)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126407770","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}
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