Pub Date : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175223
R. Akhila, S. Nikhil
Permanent Magnet Brushless DC (PMBLDC) machines are more popular due to its simple structure and low cost. Improvements in permanent magnetic materials and power electronic devices have resulted in reliable, cost effective PMBLDC drives, for many applications. PMBL motors find applications in diverse fields such as domestic appliances and automobiles due to its low cost and performance. Modelling, simulation and experimentation of drives with new converter configuration and control schemes are essential for making this drive competitive. In this paper, a comparative study between sensor and sensor less control of four-switch Inverter fed PMBLDC is discussed and Simulation model using transfer function of BLDC motor is presented. Hardware implementation is done with DSP processor TMS 320LF2407.
{"title":"A comparative study of sensor and sensor less control of four-switch Inverter fed Permanent Magnet Brushless DC motor","authors":"R. Akhila, S. Nikhil","doi":"10.1109/EPSCICON.2012.6175223","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175223","url":null,"abstract":"Permanent Magnet Brushless DC (PMBLDC) machines are more popular due to its simple structure and low cost. Improvements in permanent magnetic materials and power electronic devices have resulted in reliable, cost effective PMBLDC drives, for many applications. PMBL motors find applications in diverse fields such as domestic appliances and automobiles due to its low cost and performance. Modelling, simulation and experimentation of drives with new converter configuration and control schemes are essential for making this drive competitive. In this paper, a comparative study between sensor and sensor less control of four-switch Inverter fed PMBLDC is discussed and Simulation model using transfer function of BLDC motor is presented. Hardware implementation is done with DSP processor TMS 320LF2407.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114330399","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175224
C. K. Vijayakumari, P. Mythili
Combinational digital circuits can be evolved automatically using Genetic Algorithms (GA). Until recently this technique used linear chromosomes and and one dimensional crossover and mutation operators. In this paper, a new method for representing combinational digital circuits as 2 Dimensional (2D) chromosomes and suitable 2D crossover and mutation techniques has been proposed. By using this method, the convergence speed of GA can be increased significantly compared to the conventional methods. Moreover, the 2D representation and crossover operation provides the designer with better visualization of the evolved circuits. In addition to this, a technique to display automatically the evolved circuits has been developed with the help of MATLAB.
{"title":"A faster 2D technique for the design of combinational digital circuits using Genetic Algorithm","authors":"C. K. Vijayakumari, P. Mythili","doi":"10.1109/EPSCICON.2012.6175224","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175224","url":null,"abstract":"Combinational digital circuits can be evolved automatically using Genetic Algorithms (GA). Until recently this technique used linear chromosomes and and one dimensional crossover and mutation operators. In this paper, a new method for representing combinational digital circuits as 2 Dimensional (2D) chromosomes and suitable 2D crossover and mutation techniques has been proposed. By using this method, the convergence speed of GA can be increased significantly compared to the conventional methods. Moreover, the 2D representation and crossover operation provides the designer with better visualization of the evolved circuits. In addition to this, a technique to display automatically the evolved circuits has been developed with the help of MATLAB.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133554053","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175253
K. Venkatesh, K. Swarup
This paper propose a new decaying DC component Estimation algorithm for digital relaying. Fault currents tend to include a DC decaying component. This component decreases the accuracy and speed of the protection relay operation. The proposed algorithm can estimate and eliminate the DC decaying component from fault current signals after one cycle from the fault instant. Also, it can be applied to a conventional discrete Fourier transform to calculate phasor quantities of fault currents in a digital protection relay. In the proposed algorithm, the DC decaying magnitude and time constant are estimated exactly by integrating fault currents during one cycle. The DC decaying component is eliminated by subtracting the DC value at each sampling instant. To verify the performance of the proposed algorithm, we performed a DC component estimation test and distance protection test using PSCAD/EMTDC. The results of the PSCAD/EMTDC simulation showed that the proposed algorithm can estimate DC components exactly from fault currents and can be applied to digital protection relays for phasor extraction.
{"title":"Estimation and elimination of DC component in digital relaying","authors":"K. Venkatesh, K. Swarup","doi":"10.1109/EPSCICON.2012.6175253","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175253","url":null,"abstract":"This paper propose a new decaying DC component Estimation algorithm for digital relaying. Fault currents tend to include a DC decaying component. This component decreases the accuracy and speed of the protection relay operation. The proposed algorithm can estimate and eliminate the DC decaying component from fault current signals after one cycle from the fault instant. Also, it can be applied to a conventional discrete Fourier transform to calculate phasor quantities of fault currents in a digital protection relay. In the proposed algorithm, the DC decaying magnitude and time constant are estimated exactly by integrating fault currents during one cycle. The DC decaying component is eliminated by subtracting the DC value at each sampling instant. To verify the performance of the proposed algorithm, we performed a DC component estimation test and distance protection test using PSCAD/EMTDC. The results of the PSCAD/EMTDC simulation showed that the proposed algorithm can estimate DC components exactly from fault currents and can be applied to digital protection relays for phasor extraction.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133569273","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175282
P. Manohar, W. Ahmed
Voltage source converter based HVDC systems involving overhead transmission lines are prone to severe over-voltages during line faults. At present, they find applications only in back to back and/or underground cable transmission, with low power ratings. A conventional HVDC system suppresses the dc fault very well with the controllers and smoothing reactors while the same is not true with voltage source converter based HVDC systems. This necessitates the operation of some kind of protective devices. A superconducting fault current limiter, in this regard, is a possible device which can mitigate the effects of dc line faults. In this work, it is aimed to evaluate the dynamic performance of VSC-HVDC system integrated with a superconducting fault current limiter. The resistive superconducting fault current limiter is modeled in MATLAB and is interfaced with low voltage VSC-HVDC system, in PSCAD/EMTDC environment. The results of analysis for various ac and dc fault conditions are presented.
{"title":"Superconducting fault current limiter to mitigate the effect of DC line fault in VSC-HVDC system","authors":"P. Manohar, W. Ahmed","doi":"10.1109/EPSCICON.2012.6175282","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175282","url":null,"abstract":"Voltage source converter based HVDC systems involving overhead transmission lines are prone to severe over-voltages during line faults. At present, they find applications only in back to back and/or underground cable transmission, with low power ratings. A conventional HVDC system suppresses the dc fault very well with the controllers and smoothing reactors while the same is not true with voltage source converter based HVDC systems. This necessitates the operation of some kind of protective devices. A superconducting fault current limiter, in this regard, is a possible device which can mitigate the effects of dc line faults. In this work, it is aimed to evaluate the dynamic performance of VSC-HVDC system integrated with a superconducting fault current limiter. The resistive superconducting fault current limiter is modeled in MATLAB and is interfaced with low voltage VSC-HVDC system, in PSCAD/EMTDC environment. The results of analysis for various ac and dc fault conditions are presented.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981921","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175235
A. Baral, A. Lahiri
The purpose of this paper is to discuss on the performance of parametric CAD module that has been developed for illustrating electric field distribution over high voltage (HV) systems having either a 2-dimensional or an axi-symmetric or an asymmetric configuration. The results of the electric field computation that are presented here are for an asymmetric gas insulated system (GIS) configuration. The electric field is computed by indirect boundary element method (BEM).
{"title":"An integrated method for numerical computation of electric field using parametric CAD module","authors":"A. Baral, A. Lahiri","doi":"10.1109/EPSCICON.2012.6175235","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175235","url":null,"abstract":"The purpose of this paper is to discuss on the performance of parametric CAD module that has been developed for illustrating electric field distribution over high voltage (HV) systems having either a 2-dimensional or an axi-symmetric or an asymmetric configuration. The results of the electric field computation that are presented here are for an asymmetric gas insulated system (GIS) configuration. The electric field is computed by indirect boundary element method (BEM).","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123166214","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175266
G. Biji
The feasibility of using a solar photovoltaic array to drive water-pumping units for irrigation and drinking water in remote areas, where other sources of power are not available has been demonstrated. Solar energy, being very costly at present, is to be used very judiciously. Hence, it is very important that the SPV (Solar Photovoltaic) modules operate at its maximum power point all the time. As the insolation and temperature vary, the maximum power point of the SPV array also changes. Due to the relative high cost of solar cell, it is very important that maximum power is extracted out of the SCA to minimize the required size of the SCA and hence the cost of the pumping system. The modelling of maximum power point trackers (MPPTs) has become common to the control system of SPV water pumping systems by selecting the converter-chopping ratio of MPPT using ANN. The models are integrated by a simulation program MATLAB.
{"title":"Modelling and simulation of PV based pumping system for maximum efficiency","authors":"G. Biji","doi":"10.1109/EPSCICON.2012.6175266","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175266","url":null,"abstract":"The feasibility of using a solar photovoltaic array to drive water-pumping units for irrigation and drinking water in remote areas, where other sources of power are not available has been demonstrated. Solar energy, being very costly at present, is to be used very judiciously. Hence, it is very important that the SPV (Solar Photovoltaic) modules operate at its maximum power point all the time. As the insolation and temperature vary, the maximum power point of the SPV array also changes. Due to the relative high cost of solar cell, it is very important that maximum power is extracted out of the SCA to minimize the required size of the SCA and hence the cost of the pumping system. The modelling of maximum power point trackers (MPPTs) has become common to the control system of SPV water pumping systems by selecting the converter-chopping ratio of MPPT using ANN. The models are integrated by a simulation program MATLAB.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122292502","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175233
R. Archana, A. Unnikrishnan, R. Gopikakumari
This paper presents a novel algorithm for nonlinear system identification from a single channel output time series of a chaotic signal. A recurrent neural network(RNN) structure has been designed to represent the non linear system. The neural network weights are estimated using the Extended Kalman Filter(EKF) algorithm, augmented by the Expectation Maximization(EM) algorithm used to derive the initial states and covariance, of the Kalman filter. Rossler chaotic system is used for demonstration of the approach. The simulation results show that the Artificial Neural Network(ANN) trained with EKF algorithm, as outlined above, performs with an appreciably low value of modeling error, and give exact reproduction of the output time series and states, as generated from the dynamical equations. The Lyapunov exponents of the model are calculated, from the state space evolution, which confirms the chaotic behaviour.
{"title":"An improved EKF based neural network training algorithm for the identification of chaotic systems driven by time series","authors":"R. Archana, A. Unnikrishnan, R. Gopikakumari","doi":"10.1109/EPSCICON.2012.6175233","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175233","url":null,"abstract":"This paper presents a novel algorithm for nonlinear system identification from a single channel output time series of a chaotic signal. A recurrent neural network(RNN) structure has been designed to represent the non linear system. The neural network weights are estimated using the Extended Kalman Filter(EKF) algorithm, augmented by the Expectation Maximization(EM) algorithm used to derive the initial states and covariance, of the Kalman filter. Rossler chaotic system is used for demonstration of the approach. The simulation results show that the Artificial Neural Network(ANN) trained with EKF algorithm, as outlined above, performs with an appreciably low value of modeling error, and give exact reproduction of the output time series and states, as generated from the dynamical equations. The Lyapunov exponents of the model are calculated, from the state space evolution, which confirms the chaotic behaviour.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127112422","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175254
K. V. S. Rao, B. I. Rani, G. S. Ilango
Global solar radiation (GSR) is an important parameter in the design of photovoltaic systems. An accurate knowledge of the GSR of a location is essential for the efficient design and utilization of photovoltaic systems. The main objective of the paper is to predict the daily GSR under clear sky conditions of any location on a horizontal surface, based on meteorological variables. The various parameters such as earth skin temperature, relative humidity (simply humidity), date and month of the year are used to estimate the daily GSR. In order to consider the effect of each meteorological variable on daily GSR prediction, six combinations of the meteorological parameters are utilized in training the artificial neural network (ANN). Two cases were considered to train the ANN. In one case three years data of Hyderabad and in other case three years data of three cities (total nine years data) namely Hyderabad, Delhi and Mumbai are used. In both the cases, 90 days of Trichy data is used for testing the network. Accuracy was tested with statistical indicators like root mean square error (RMSE), mean absolute percentage error (MAPE) and mean bias error (MBE). It is found that MAPE value is minimum when date, month, temperature and humidity are considered as input variables.
{"title":"Estimation of daily global solar radiation using temperature, relative humidity and seasons with ANN for Indian stations","authors":"K. V. S. Rao, B. I. Rani, G. S. Ilango","doi":"10.1109/EPSCICON.2012.6175254","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175254","url":null,"abstract":"Global solar radiation (GSR) is an important parameter in the design of photovoltaic systems. An accurate knowledge of the GSR of a location is essential for the efficient design and utilization of photovoltaic systems. The main objective of the paper is to predict the daily GSR under clear sky conditions of any location on a horizontal surface, based on meteorological variables. The various parameters such as earth skin temperature, relative humidity (simply humidity), date and month of the year are used to estimate the daily GSR. In order to consider the effect of each meteorological variable on daily GSR prediction, six combinations of the meteorological parameters are utilized in training the artificial neural network (ANN). Two cases were considered to train the ANN. In one case three years data of Hyderabad and in other case three years data of three cities (total nine years data) namely Hyderabad, Delhi and Mumbai are used. In both the cases, 90 days of Trichy data is used for testing the network. Accuracy was tested with statistical indicators like root mean square error (RMSE), mean absolute percentage error (MAPE) and mean bias error (MBE). It is found that MAPE value is minimum when date, month, temperature and humidity are considered as input variables.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129778645","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 : 2012-04-03DOI: 10.1109/EPSCICON.2012.6175272
K. Shiju, P. Selvi
High dynamic range images represent the radiance of scenes captured by a device or generated by an artificial rendering system. Special types of preprocessing, collectively known as tone-mapping (TM) operators, are needed to adapt HDR images to currently existing displays. Tone-mapped images, although of reduced dynamic range, have high quality and hence are possible targets for misappropriation or misuse by malevolent entities. The watermarking technique that is at the core of the proposed image watermarking is based on the quantization index modulation paradigm and is designed to embed a blindly detectable, one bit watermark in HDR images. The requirements imposed on the watermark encompass imperceptibility, a certain degree of security, and robustness to TM operators. Performance analysis of the proposed system and existing system are done based on noise characteristics, receiver operating characteristics and information embedding capacity.
{"title":"Performance analysis of high dynamic range image watermarking based on quantization index modulation","authors":"K. Shiju, P. Selvi","doi":"10.1109/EPSCICON.2012.6175272","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175272","url":null,"abstract":"High dynamic range images represent the radiance of scenes captured by a device or generated by an artificial rendering system. Special types of preprocessing, collectively known as tone-mapping (TM) operators, are needed to adapt HDR images to currently existing displays. Tone-mapped images, although of reduced dynamic range, have high quality and hence are possible targets for misappropriation or misuse by malevolent entities. The watermarking technique that is at the core of the proposed image watermarking is based on the quantization index modulation paradigm and is designed to embed a blindly detectable, one bit watermark in HDR images. The requirements imposed on the watermark encompass imperceptibility, a certain degree of security, and robustness to TM operators. Performance analysis of the proposed system and existing system are done based on noise characteristics, receiver operating characteristics and information embedding capacity.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129876461","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 : 2012-01-31DOI: 10.1109/EPSCICON.2012.6175228
D. James, M. Philip
With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. Fake websites which appear very similar to the original ones are being hosted to achieve this. In this paper we have proposed a new approach named as "A Novel Anti-phishing framework based on visual cryptography "to solve the problem of phishing. Here an image based authentication using Visual Cryptography is implemented. The use of visual cryptography is explored to preserve the privacy of an image captcha by decomposing the original image captcha into two shares (known as sheets) that are stored in separate database servers(one with user and one with server) such that the original image captcha can be revealed only when both are simultaneously available; the individual sheet images do not reveal the identity of the original image captcha. Once the original image captcha is revealed to the user it can be used as the password. Using this website cross verifies its identity and proves that it is a genuine website before the end users.
{"title":"A Novel Anti phishing framework based on visual cryptography","authors":"D. James, M. Philip","doi":"10.1109/EPSCICON.2012.6175228","DOIUrl":"https://doi.org/10.1109/EPSCICON.2012.6175228","url":null,"abstract":"With the advent of internet, various online attacks has been increased and among them the most popular attack is phishing. Phishing is an attempt by an individual or a group to get personal confidential information such as passwords, credit card information from unsuspecting victims for identity theft, financial gain and other fraudulent activities. Fake websites which appear very similar to the original ones are being hosted to achieve this. In this paper we have proposed a new approach named as \"A Novel Anti-phishing framework based on visual cryptography \"to solve the problem of phishing. Here an image based authentication using Visual Cryptography is implemented. The use of visual cryptography is explored to preserve the privacy of an image captcha by decomposing the original image captcha into two shares (known as sheets) that are stored in separate database servers(one with user and one with server) such that the original image captcha can be revealed only when both are simultaneously available; the individual sheet images do not reveal the identity of the original image captcha. Once the original image captcha is revealed to the user it can be used as the password. Using this website cross verifies its identity and proves that it is a genuine website before the end users.","PeriodicalId":143947,"journal":{"name":"2012 International Conference on Power, Signals, Controls and Computation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2012-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130929767","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}