Pub Date : 2013-06-13DOI: 10.1109/ICPEC.2013.6527647
A. Mehta, R. N. Sharma, S. Chauhan, S. Saho
Power transformer is vital equipment in any electrical power system. So any fault in the power transformer may lead to the interruption of power supply and accordingly the financial losses will also be great. So it is important to detect the incipient faults of transformer as early as possible. Among the existing methods for identifying the incipient faults, dissolved gas analysis (DGA) is the most popular and successful method. Any kind of fault inside transformer gives rise to overheating and will produce characteristics amount of gases in transformer oil. In this paper classical methods of DGA such as Key Gas Method, Rogers Ratio Method and Duval Triangle Method are reviewed first and the need to integrate with the artificial intelligence (AI) methods for improving the performance of diagnosis is justified. Reported work presents a new and efficient artificial intelligence technique that is support vector machine (SVM) for transformer fault diagnosis using dissolved gas analysis. The proposed method i.e. Support Vector Machine is a classification tool based on statistical learning theory. Here 3 types of multiclass SVM method that is One - against-One, One-against-All and binary decision tree have been used for the fault diagnosis. Each SVM method has been trained and tested with many practical fault data of power transformers.
{"title":"Transformer diagnostics under dissolved gas analysis using Support Vector Machine","authors":"A. Mehta, R. N. Sharma, S. Chauhan, S. Saho","doi":"10.1109/ICPEC.2013.6527647","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527647","url":null,"abstract":"Power transformer is vital equipment in any electrical power system. So any fault in the power transformer may lead to the interruption of power supply and accordingly the financial losses will also be great. So it is important to detect the incipient faults of transformer as early as possible. Among the existing methods for identifying the incipient faults, dissolved gas analysis (DGA) is the most popular and successful method. Any kind of fault inside transformer gives rise to overheating and will produce characteristics amount of gases in transformer oil. In this paper classical methods of DGA such as Key Gas Method, Rogers Ratio Method and Duval Triangle Method are reviewed first and the need to integrate with the artificial intelligence (AI) methods for improving the performance of diagnosis is justified. Reported work presents a new and efficient artificial intelligence technique that is support vector machine (SVM) for transformer fault diagnosis using dissolved gas analysis. The proposed method i.e. Support Vector Machine is a classification tool based on statistical learning theory. Here 3 types of multiclass SVM method that is One - against-One, One-against-All and binary decision tree have been used for the fault diagnosis. Each SVM method has been trained and tested with many practical fault data of power transformers.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117000912","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527759
P. Babu, C. Bhavya, B. Veena, S. Pavani
Electrical energy is universally accepted as an essential commodity for human life. Electrical energy is the prime mover of economic growth and vital to the sustenance of a modern economy. Future economic growth crucially depends on the long term availability of electrical energy from natural resources. The attention focused on luxurious means of comfort and the trend going to electrical goods for maximum application are giving rise to heavy growth in demand for electrical energy. To reduce gap between the demand and supply, all types of available natural resources are being used. Even then the gap is continuously increasing due to ever increase in utilization of electrical energy. Hence, the only option left with us is to use available electrical energy efficiently and effectively by adopting energy conservation methods. In this paper a fuzzy controlled intelligent system is proposed to conserve the electrical energy in case of water cooler, aiming to minimize the energy consumption after the temperature of water reaches a certain predefined satisfaction level, thus maintains the perfect cooling of water and to avoid excess cooling. This paper shows the application of fuzzy logic techniques on water cooler to maintain temperature of water as per consumer requirements based on seasons.
{"title":"Fuzzy controlled intelligent water cooler for energy conservation and customer satisfaction","authors":"P. Babu, C. Bhavya, B. Veena, S. Pavani","doi":"10.1109/ICPEC.2013.6527759","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527759","url":null,"abstract":"Electrical energy is universally accepted as an essential commodity for human life. Electrical energy is the prime mover of economic growth and vital to the sustenance of a modern economy. Future economic growth crucially depends on the long term availability of electrical energy from natural resources. The attention focused on luxurious means of comfort and the trend going to electrical goods for maximum application are giving rise to heavy growth in demand for electrical energy. To reduce gap between the demand and supply, all types of available natural resources are being used. Even then the gap is continuously increasing due to ever increase in utilization of electrical energy. Hence, the only option left with us is to use available electrical energy efficiently and effectively by adopting energy conservation methods. In this paper a fuzzy controlled intelligent system is proposed to conserve the electrical energy in case of water cooler, aiming to minimize the energy consumption after the temperature of water reaches a certain predefined satisfaction level, thus maintains the perfect cooling of water and to avoid excess cooling. This paper shows the application of fuzzy logic techniques on water cooler to maintain temperature of water as per consumer requirements based on seasons.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070570","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527663
P. Sivaraman, R. Desanayagi
This paper deals with performance analysis of PV fed single phase T-source inverter for a standalone system. The T-source inverter has an ability to perform DC to AC conversion and buck boost operation in a single stage. Compared to Z-source inverter the number of passive elements are reduced in T-network. The traditional voltage and current source inverters cannot provide such feature. Normally, the proportional integral (PI) control is commonly used in the stationary reference frame for current controlled inverters. However, it has two main drawbacks: inability to track a sinusoidal reference without steady state error and poor disturbance rejection capability. These problems are overcome by using proportional resonant (PR) controller. The performance analysis of T-source inverter is carried out with PI and PR controller. A simulation of Single phase T-source inverter is done using MATLAB/ Simulink.
{"title":"Performance analysis of PV fed single phase T-source inverter","authors":"P. Sivaraman, R. Desanayagi","doi":"10.1109/ICPEC.2013.6527663","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527663","url":null,"abstract":"This paper deals with performance analysis of PV fed single phase T-source inverter for a standalone system. The T-source inverter has an ability to perform DC to AC conversion and buck boost operation in a single stage. Compared to Z-source inverter the number of passive elements are reduced in T-network. The traditional voltage and current source inverters cannot provide such feature. Normally, the proportional integral (PI) control is commonly used in the stationary reference frame for current controlled inverters. However, it has two main drawbacks: inability to track a sinusoidal reference without steady state error and poor disturbance rejection capability. These problems are overcome by using proportional resonant (PR) controller. The performance analysis of T-source inverter is carried out with PI and PR controller. A simulation of Single phase T-source inverter is done using MATLAB/ Simulink.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114259378","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527641
D. Sklavounos, E. Zervas, O. Tsakiridis, J. Stonham
Energy consumption has become a very important case due to the global energy issue. Therefore, there is an increasing demand for efficient energy control in Heat Ventilation and Air Conditioning (HVAC) Systems. An effective method for controlling the heat energy in a multiple room building is the multizone approach, where each room is treated as a single zone and temperature control is applied separately for each zone. In the proposed technique, the multizone approach is adopted along with a Wireless Sensor Network (WSN) of temperature nodes, where each node covers a single zone and communicates its sensed values to adjacent nodes. Each node is responsible for the tuning of a heating source so that a preset zone temperature value is maintained. Moreover, each node utilizes a simple lumped capacity model for its controlling zone and based on the received neighbor temperature values detects possible divergences from the anticipated energy consumption. Simulation results using a simple weather temperature model and Proportional Integral (PI) controllers verify the effectiveness of the proposed method.
{"title":"A wireless sensor network approach for the control of a multizone HVAC system","authors":"D. Sklavounos, E. Zervas, O. Tsakiridis, J. Stonham","doi":"10.1109/ICPEC.2013.6527641","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527641","url":null,"abstract":"Energy consumption has become a very important case due to the global energy issue. Therefore, there is an increasing demand for efficient energy control in Heat Ventilation and Air Conditioning (HVAC) Systems. An effective method for controlling the heat energy in a multiple room building is the multizone approach, where each room is treated as a single zone and temperature control is applied separately for each zone. In the proposed technique, the multizone approach is adopted along with a Wireless Sensor Network (WSN) of temperature nodes, where each node covers a single zone and communicates its sensed values to adjacent nodes. Each node is responsible for the tuning of a heating source so that a preset zone temperature value is maintained. Moreover, each node utilizes a simple lumped capacity model for its controlling zone and based on the received neighbor temperature values detects possible divergences from the anticipated energy consumption. Simulation results using a simple weather temperature model and Proportional Integral (PI) controllers verify the effectiveness of the proposed method.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114394668","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527617
S. Narendiran, Sarat Kumar Sahoo
This paper proposed an idea of various blocks involved in grid connected photovoltaic energy conversion system and the parameters involved in concluding the blocks starting from PV array, converter block, inverter block, filters, transformers and distribution system connected to the grid, so a detailed analysis is made on each blocks to find out an efficient block at each stage and to give an efficient PV array system to get maximum power at the output.
{"title":"Grid connected photovoltaic energy conversion system — A case study","authors":"S. Narendiran, Sarat Kumar Sahoo","doi":"10.1109/ICPEC.2013.6527617","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527617","url":null,"abstract":"This paper proposed an idea of various blocks involved in grid connected photovoltaic energy conversion system and the parameters involved in concluding the blocks starting from PV array, converter block, inverter block, filters, transformers and distribution system connected to the grid, so a detailed analysis is made on each blocks to find out an efficient block at each stage and to give an efficient PV array system to get maximum power at the output.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123880802","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527708
S. Stella, B. L. Prasanth, T. K. MahendraBabu, K. Gnanambal
The Constant Voltage Maximum Power Point Technique (MPPT) method has the drawback of measuring the open circuit voltage Voc of the Photo voltaic (PV) panel by disconnecting it from the balance of the system. To reduce the circuit complexity, this paper proposes a remedial measure to identify the peak power operating point from the Low cost Photometric Sensor. The measured photometric quantity is to be converted into a radiometric quantity in terms of the irradiance. Hence the mathematical model is developed to estimate Voc through photometric measurement. Now the constant voltage method can be used to determine the Maximum Power Point from 0.76 percentage of Voc. The developed mathematical model endorses to find MPPT without disconnecting the PV panel in the real time PV power generation. The effectiveness of the proposed method is verified through experiments under various weather conditions.
{"title":"Low-cost Photometric sensing for Maximum PV power generation","authors":"S. Stella, B. L. Prasanth, T. K. MahendraBabu, K. Gnanambal","doi":"10.1109/ICPEC.2013.6527708","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527708","url":null,"abstract":"The Constant Voltage Maximum Power Point Technique (MPPT) method has the drawback of measuring the open circuit voltage Voc of the Photo voltaic (PV) panel by disconnecting it from the balance of the system. To reduce the circuit complexity, this paper proposes a remedial measure to identify the peak power operating point from the Low cost Photometric Sensor. The measured photometric quantity is to be converted into a radiometric quantity in terms of the irradiance. Hence the mathematical model is developed to estimate Voc through photometric measurement. Now the constant voltage method can be used to determine the Maximum Power Point from 0.76 percentage of Voc. The developed mathematical model endorses to find MPPT without disconnecting the PV panel in the real time PV power generation. The effectiveness of the proposed method is verified through experiments under various weather conditions.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115605795","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527738
R. Siddique, A. Faisal, M. Raihan, T. H. Asif
In order to meet the ever increasing demand of electricity, renewable energy such as Wind Energy can be a viable option in generating a substantial amount of electricity. This paper leads to pick the best possible method between VSCF (Variable Speed Constant Frequency) and CSCF (Constant Speed Constant Frequency) of Wind Energy Conversion System (WECS) because of experiencing tremendous growth of this scheme in recent time. Besides, IGBT inverter has the demonstration of so called “short-circuit withstanding capability” which ensures the withstanding of severe condition by preventing large short circuit current. A speed control system which comprises speed controller, actuator model and the turbine linearized model is proposed which can be used to stabilize the frequency through speed control. In addition the implementation of solar cell in WECS has also been proposed which can ensure more effective and relatively stable output power.
{"title":"A theoretical analysis of controlling the speed of wind turbine and assemblage of solar system in the Wind Energy Conversion system","authors":"R. Siddique, A. Faisal, M. Raihan, T. H. Asif","doi":"10.1109/ICPEC.2013.6527738","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527738","url":null,"abstract":"In order to meet the ever increasing demand of electricity, renewable energy such as Wind Energy can be a viable option in generating a substantial amount of electricity. This paper leads to pick the best possible method between VSCF (Variable Speed Constant Frequency) and CSCF (Constant Speed Constant Frequency) of Wind Energy Conversion System (WECS) because of experiencing tremendous growth of this scheme in recent time. Besides, IGBT inverter has the demonstration of so called “short-circuit withstanding capability” which ensures the withstanding of severe condition by preventing large short circuit current. A speed control system which comprises speed controller, actuator model and the turbine linearized model is proposed which can be used to stabilize the frequency through speed control. In addition the implementation of solar cell in WECS has also been proposed which can ensure more effective and relatively stable output power.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123112416","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527700
S. Venkatanarayanan, M. Saravanan
SEPIC converter control using neural network tuned PI controller is investigated in this paper. SEPIC converter is an AC/DC to DC converter and is very useful for various applications. The performance of the neural network tuned PI controller is compared with that of PI controller for the SEPIC converter by doing simulation in MATLAB-SIMULINK. The performance of the above controllers is tested for getting wide ranges of output reference voltages. It is found that the performance of the neural network tuned PI controller is better than that of the PI controller.
{"title":"Control of SEPIC converter using neural network tuned PI controller","authors":"S. Venkatanarayanan, M. Saravanan","doi":"10.1109/ICPEC.2013.6527700","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527700","url":null,"abstract":"SEPIC converter control using neural network tuned PI controller is investigated in this paper. SEPIC converter is an AC/DC to DC converter and is very useful for various applications. The performance of the neural network tuned PI controller is compared with that of PI controller for the SEPIC converter by doing simulation in MATLAB-SIMULINK. The performance of the above controllers is tested for getting wide ranges of output reference voltages. It is found that the performance of the neural network tuned PI controller is better than that of the PI controller.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125425920","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527711
D. Sharmitha, D. Sundararajan
In recent times, the parameters of power systems are highly distorted, due to the increased application of nonlinear loads. The monitoring of harmonic and interharmonic distortion is an essential issue for delivering high quality power. The proposed harmonic and interharmonic estimation algorithm employs a filter bank and multirate signal processing. An enhanced phase-locked loop is used to estimate the parameters of the harmonics. The filter bank consists of a set of bandpass filters. The filters extract each of the harmonic and interharmoniccomponents. Further, the noise level of the components is also reduced. The extracted components are downsampled. In the last stage, the enhanced phase-locked loop estimates the amplitude, phase and frequency of the decomposed signal. The bandpass filters are centered at the estimated frequency. The estimation time and accuracy of this method compares favorably with alternate methods.
{"title":"Estimation of harmonics and interharmonics using phase-locked loop","authors":"D. Sharmitha, D. Sundararajan","doi":"10.1109/ICPEC.2013.6527711","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527711","url":null,"abstract":"In recent times, the parameters of power systems are highly distorted, due to the increased application of nonlinear loads. The monitoring of harmonic and interharmonic distortion is an essential issue for delivering high quality power. The proposed harmonic and interharmonic estimation algorithm employs a filter bank and multirate signal processing. An enhanced phase-locked loop is used to estimate the parameters of the harmonics. The filter bank consists of a set of bandpass filters. The filters extract each of the harmonic and interharmoniccomponents. Further, the noise level of the components is also reduced. The extracted components are downsampled. In the last stage, the enhanced phase-locked loop estimates the amplitude, phase and frequency of the decomposed signal. The bandpass filters are centered at the estimated frequency. The estimation time and accuracy of this method compares favorably with alternate methods.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128793385","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 : 2013-06-13DOI: 10.1109/ICPEC.2013.6527673
G. Rajanna, H. N. Nagaraj
In this paper presents a chattering analysis and steady state reaching speed are discussed. There are two approaches implemented to DC-DC Buck converter for minimizing the chattering and faster reaching speed. One is exponential reaching law and the other is sigmoid variable reaching law. In these approaches, Exponential Reaching law (ERL) gives better results than the Sigmoid Variable Reaching Law (SVRL). In ERL completely eliminates the chattering and more robust against load and line variations. The simulation results illustrate the feasibility and validity of the exponential reaching.
{"title":"Comparison between sigmoid variable reaching law and exponential reaching law for sliding mode controlled DC-DC Buck converter","authors":"G. Rajanna, H. N. Nagaraj","doi":"10.1109/ICPEC.2013.6527673","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527673","url":null,"abstract":"In this paper presents a chattering analysis and steady state reaching speed are discussed. There are two approaches implemented to DC-DC Buck converter for minimizing the chattering and faster reaching speed. One is exponential reaching law and the other is sigmoid variable reaching law. In these approaches, Exponential Reaching law (ERL) gives better results than the Sigmoid Variable Reaching Law (SVRL). In ERL completely eliminates the chattering and more robust against load and line variations. The simulation results illustrate the feasibility and validity of the exponential reaching.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127843152","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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