Pub Date : 2011-07-20DOI: 10.1109/PACC.2011.5978988
S. Elango, Dr. E. Chandra
This paper presents a study on the modeling of a D-STATCOM (Distribution Static Compensator) used for mitigating voltage sag on a distribution network. The power circuits of the D-STATCOM and the distribution network are modeled by specific blocks from the Power System Block set while the control system is modeled by Simulink blocks. A main feeder feeding a 10 MW load is abruptly disturbed by the inclusion of a sudden load of 10 MW thereby creating voltage sag. This voltage sag is corrected by the static compensator.
{"title":"Mitigation of Voltage Sag by Using Distribution Static Compensator (D-STATCOM)","authors":"S. Elango, Dr. E. Chandra","doi":"10.1109/PACC.2011.5978988","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978988","url":null,"abstract":"This paper presents a study on the modeling of a D-STATCOM (Distribution Static Compensator) used for mitigating voltage sag on a distribution network. The power circuits of the D-STATCOM and the distribution network are modeled by specific blocks from the Power System Block set while the control system is modeled by Simulink blocks. A main feeder feeding a 10 MW load is abruptly disturbed by the inclusion of a sudden load of 10 MW thereby creating voltage sag. This voltage sag is corrected by the static compensator.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123131046","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 : 2011-07-20DOI: 10.1109/PACC.2011.5978884
K. C. Vinay, H. N. Shyam, S. Rishi, S. Moorthi
This paper presents the design and implementation of a Variable-Voltage Variable-Frequency (VVVF) Controller based on Sinusoidal Pulse Width Modulation (SPWM) Technique for a 3 Phase Induction Motor using a Field Programmable Gate Array (FPGA). The work involves implementation of an Open loop control scheme for an induction motor. The technique is used extensively in the industry as it provides the accuracy required at minimal cost. Voltage/ frequency (v/f) controlled motors fall under the category of Variable Voltage Variable Frequency (VVVF) drives. To maintain maximum torque for a given working condition, the flux in the machine must be maintained constant. In other words, the ratio of Voltage to frequency must be held constant. For Variable Voltage Variable Frequency (VVVF) drives, there is a need to control the fundamental voltage of the inverter if its frequency (and therefore the frequency of the induction motor), need to be varied. To vary the fundamental component of the inverter, the Modulation Index of the carrier signal has to be changed. The speed at rated supply frequency is normally used as the base speed. At frequencies below the base speed, the supply magnitude needs to be reduced so as to maintain a constant Volt/Hertz. The FPGA controller is used to generate SPWM pulses based on the frequency input, that are used to control the inverter. The VVVF output of the inverter can be used as supply to a three phase induction motor and thereby speed of the motor can be controlled.
{"title":"FPGA Based Implementation of Variable-Voltage Variable-Frequency Controller for a Three Phase Induction Motor","authors":"K. C. Vinay, H. N. Shyam, S. Rishi, S. Moorthi","doi":"10.1109/PACC.2011.5978884","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978884","url":null,"abstract":"This paper presents the design and implementation of a Variable-Voltage Variable-Frequency (VVVF) Controller based on Sinusoidal Pulse Width Modulation (SPWM) Technique for a 3 Phase Induction Motor using a Field Programmable Gate Array (FPGA). The work involves implementation of an Open loop control scheme for an induction motor. The technique is used extensively in the industry as it provides the accuracy required at minimal cost. Voltage/ frequency (v/f) controlled motors fall under the category of Variable Voltage Variable Frequency (VVVF) drives. To maintain maximum torque for a given working condition, the flux in the machine must be maintained constant. In other words, the ratio of Voltage to frequency must be held constant. For Variable Voltage Variable Frequency (VVVF) drives, there is a need to control the fundamental voltage of the inverter if its frequency (and therefore the frequency of the induction motor), need to be varied. To vary the fundamental component of the inverter, the Modulation Index of the carrier signal has to be changed. The speed at rated supply frequency is normally used as the base speed. At frequencies below the base speed, the supply magnitude needs to be reduced so as to maintain a constant Volt/Hertz. The FPGA controller is used to generate SPWM pulses based on the frequency input, that are used to control the inverter. The VVVF output of the inverter can be used as supply to a three phase induction motor and thereby speed of the motor can be controlled.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128718268","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 : 2011-07-20DOI: 10.1109/PACC.2011.5979000
S. Jadhav, S. Nalbalwar, A. Ghatol
Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. The ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. In this paper we proposed an Artificial Neural Network (ANN) based cardiac arrhythmia disease diagnosis system using standard 12 lead ECG signal recordings data. In this study, we are mainly interested in classifying disease in normal and abnormal classes. We have used UCI ECG signal data to train and test three different ANN models. In arrhythmia analysis, it is unavoidable that some attribute values of a person would be missing. Therefore we have replaced these missing attributes by closest column value of the concern class. ANN models are trained by static backpropagation algorithm with momentum learning rule to diagnose cardiac arrhythmia. The classification performance is evaluated using measures such as mean squared error (MSE), classification specificity, sensitivity, accuracy, receiver operating characteristics (ROC) and area under curve (AUC). Out of three different ANN models Multilayer perceptron ANN model have given very attractive classification results in terms of classification accuracy and sensitivity of 86.67% and 93.75% respectively while Modular ANN have given 93.1% classification specificity.
{"title":"Artificial Neural Network Based Cardiac Arrhythmia Disease Diagnosis","authors":"S. Jadhav, S. Nalbalwar, A. Ghatol","doi":"10.1109/PACC.2011.5979000","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979000","url":null,"abstract":"Changes in the normal rhythm of a human heart may result in different cardiac arrhythmias, which may be immediately fatal or cause irreparable damage to the heart sustained over long periods of time. The ability to automatically identify arrhythmias from ECG recordings is important for clinical diagnosis and treatment. In this paper we proposed an Artificial Neural Network (ANN) based cardiac arrhythmia disease diagnosis system using standard 12 lead ECG signal recordings data. In this study, we are mainly interested in classifying disease in normal and abnormal classes. We have used UCI ECG signal data to train and test three different ANN models. In arrhythmia analysis, it is unavoidable that some attribute values of a person would be missing. Therefore we have replaced these missing attributes by closest column value of the concern class. ANN models are trained by static backpropagation algorithm with momentum learning rule to diagnose cardiac arrhythmia. The classification performance is evaluated using measures such as mean squared error (MSE), classification specificity, sensitivity, accuracy, receiver operating characteristics (ROC) and area under curve (AUC). Out of three different ANN models Multilayer perceptron ANN model have given very attractive classification results in terms of classification accuracy and sensitivity of 86.67% and 93.75% respectively while Modular ANN have given 93.1% classification specificity.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122868408","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 : 2011-07-20DOI: 10.1109/PACC.2011.5978969
S. Patil, R. B. Mankar, M. Mahadik
NA
{"title":"On Line Estimation of Composition Using Software Sensor in Batch Distillation Operation","authors":"S. Patil, R. B. Mankar, M. Mahadik","doi":"10.1109/PACC.2011.5978969","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978969","url":null,"abstract":"NA","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126647579","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 : 2011-07-20DOI: 10.1109/PACC.2011.5978882
S. Pushpa, D. Manamalli
The unified Modeling Language -Real Time (UML-RT) is a modeling Software -real time intensive systems. A real time system is any system that responds and acts in a timely manner. Thus time is a resource of fundamental concern and activities must be scheduled and executed to meet their timely requirements. Real time systems are often confronted with a need for concurrent execution activities to fulfill these constraints. By means of a case study we investigate how object-oriented methodologies and in particular UML-RT support the modeling of real-time systems. Our main contribution is to control the state of the signal lights for a four road intersection in a real time manner.
{"title":"A Platform Independent Model for Adaptive Traffic Control Using UML-RT","authors":"S. Pushpa, D. Manamalli","doi":"10.1109/PACC.2011.5978882","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978882","url":null,"abstract":"The unified Modeling Language -Real Time (UML-RT) is a modeling Software -real time intensive systems. A real time system is any system that responds and acts in a timely manner. Thus time is a resource of fundamental concern and activities must be scheduled and executed to meet their timely requirements. Real time systems are often confronted with a need for concurrent execution activities to fulfill these constraints. By means of a case study we investigate how object-oriented methodologies and in particular UML-RT support the modeling of real-time systems. Our main contribution is to control the state of the signal lights for a four road intersection in a real time manner.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124063186","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 : 2011-07-20DOI: 10.1109/PACC.2011.5979011
Jose Alex Mathew, A. M. Khan, U. Niranjan, Senior Member
Diagnosis is the Key feature of an Intelligent Diagnostic Imaging System (IDIS). This paper describes the major diagnosis depending on the shape, texture, and area of the abnormality. Abnormality extraction is the vital step in a series of processes aimed at overall image understanding. Region based segmentation is used for abnormality extraction. This paper also describes author defined algorithms for threshold detection for abnormality extraction, which gives excellent result compared to the threshold detection using Otsu's method. Different algorithms are used for T1 and T2 MRI Images. This paper does the comparison of different segmentation techniques. MATLAB tools are used to do the segmentation.
{"title":"Diagnosis of the Abnormality Extracted MRI Slice Images of a GUI Based Intelligent Diagnostic Imaging System","authors":"Jose Alex Mathew, A. M. Khan, U. Niranjan, Senior Member","doi":"10.1109/PACC.2011.5979011","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979011","url":null,"abstract":"Diagnosis is the Key feature of an Intelligent Diagnostic Imaging System (IDIS). This paper describes the major diagnosis depending on the shape, texture, and area of the abnormality. Abnormality extraction is the vital step in a series of processes aimed at overall image understanding. Region based segmentation is used for abnormality extraction. This paper also describes author defined algorithms for threshold detection for abnormality extraction, which gives excellent result compared to the threshold detection using Otsu's method. Different algorithms are used for T1 and T2 MRI Images. This paper does the comparison of different segmentation techniques. MATLAB tools are used to do the segmentation.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122880863","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 : 2011-07-20DOI: 10.1109/PACC.2011.5978956
A. Hussaini, M. Sundarambal
The increase of greed in people has paved way to civilwars and natural disasters. A swift action has to be taken in the relief work of the aftermath of earthquake affected areas, such that any delay in the rescue could lead the death toll to rise. The same can be applied to war fields too. The proposed research focuses on human beings who are alive and struggling for their lives either in the war field or due to natural disasters like earthquakes, to be recognized and rescued in a much faster pace. The robot senses the alive condition of human and sends a notification to the mobile to capture the images of the same. The captured image is then sent to the server to view and act accordingly. The administrator at the server's end has options to move the robot in any required direction for more accurate detection of human beings alive.
{"title":"Wireless Control of Humanoid Robot Using 3G","authors":"A. Hussaini, M. Sundarambal","doi":"10.1109/PACC.2011.5978956","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978956","url":null,"abstract":"The increase of greed in people has paved way to civilwars and natural disasters. A swift action has to be taken in the relief work of the aftermath of earthquake affected areas, such that any delay in the rescue could lead the death toll to rise. The same can be applied to war fields too. The proposed research focuses on human beings who are alive and struggling for their lives either in the war field or due to natural disasters like earthquakes, to be recognized and rescued in a much faster pace. The robot senses the alive condition of human and sends a notification to the mobile to capture the images of the same. The captured image is then sent to the server to view and act accordingly. The administrator at the server's end has options to move the robot in any required direction for more accurate detection of human beings alive.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"73 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116287527","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 : 2011-07-20DOI: 10.1109/PACC.2011.5979027
S. Latha, G. Y. R. Vikhram
Abstract¡ªThis paper presents a robust Static Synchronous Compensator voltage controller design for power system damping. The method of multiplicative uncertainty has been employed to model the variations of the transmission line reactances. The design is carried out applying robustness criteria for improving stability and performance. A loop-shaping technique has been employed to select a suitable open-loop transfer function, from which the robust controller function is constructed. The controller is tested for a number of disturbances. The damping provided by the robust controller is compared with a fixed-parameter PID controller, whose gains were calculated through a pole-placement technique. It has been observed that the PID control is ineffective at operating points other than nominal. The robust design has been demonstrated to provide extremely good damping characteristics over a range of operating conditions. Here the H¡¿loop shaping technique is applied to design robust STATCOM controller. The designed robust STATCOM controller is implemented in Single Machine Infinite Bus power system. Simulation results are compared with conventional PID controller and robust H¡¿loop shaping STATCOM controller in a SMIB system to show that the improved and robustness of robust loop shaping STATCOM controller proposed over the conventional PID controller in settling the system operating in same conditions.
{"title":"Power System Damping Improvement by Robust STATCOM Voltage Controller Design Using Loop-Shaping Technique","authors":"S. Latha, G. Y. R. Vikhram","doi":"10.1109/PACC.2011.5979027","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979027","url":null,"abstract":"Abstract¡ªThis paper presents a robust Static Synchronous Compensator voltage controller design for power system damping. The method of multiplicative uncertainty has been employed to model the variations of the transmission line reactances. The design is carried out applying robustness criteria for improving stability and performance. A loop-shaping technique has been employed to select a suitable open-loop transfer function, from which the robust controller function is constructed. The controller is tested for a number of disturbances. The damping provided by the robust controller is compared with a fixed-parameter PID controller, whose gains were calculated through a pole-placement technique. It has been observed that the PID control is ineffective at operating points other than nominal. The robust design has been demonstrated to provide extremely good damping characteristics over a range of operating conditions. Here the H¡¿loop shaping technique is applied to design robust STATCOM controller. The designed robust STATCOM controller is implemented in Single Machine Infinite Bus power system. Simulation results are compared with conventional PID controller and robust H¡¿loop shaping STATCOM controller in a SMIB system to show that the improved and robustness of robust loop shaping STATCOM controller proposed over the conventional PID controller in settling the system operating in same conditions.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128489321","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 : 2011-07-20DOI: 10.1109/PACC.2011.5978978
T. K. Ramesh, N. Amrutha Lakshmi, Anjali Madhu, K. Reddy, P. Vaya
Balancing the load among multiple path leads to the degradation in the all-optical WDM networks. It is always desirable to deliver the entire load on a single optimal path depending upon the current network load status. This paper employs the use of ant colony optimization (ACO) for routing and wavelength assignment (RWA) problem of all-optical WDM networks along with survivability. Our algorithm proactively updates the changes in the network status and finds optimal and sub-optimal paths depending upon the number of free wavelengths available per link along the path from source to destination. When a connection request arrives at a node, the data is routed through the readily available optimal path thereby reducing the setup time. Furthermore, the approach is self-regulating i.e. it automatically adapts to traffic load variations across the network. By simulation results, we showed that our proposed protocol has high throughput and bandwidth utilization.
{"title":"A Proactive and Self-Regulated Ant-Based RWA Protocol for All-Optical WDM Networks","authors":"T. K. Ramesh, N. Amrutha Lakshmi, Anjali Madhu, K. Reddy, P. Vaya","doi":"10.1109/PACC.2011.5978978","DOIUrl":"https://doi.org/10.1109/PACC.2011.5978978","url":null,"abstract":"Balancing the load among multiple path leads to the degradation in the all-optical WDM networks. It is always desirable to deliver the entire load on a single optimal path depending upon the current network load status. This paper employs the use of ant colony optimization (ACO) for routing and wavelength assignment (RWA) problem of all-optical WDM networks along with survivability. Our algorithm proactively updates the changes in the network status and finds optimal and sub-optimal paths depending upon the number of free wavelengths available per link along the path from source to destination. When a connection request arrives at a node, the data is routed through the readily available optimal path thereby reducing the setup time. Furthermore, the approach is self-regulating i.e. it automatically adapts to traffic load variations across the network. By simulation results, we showed that our proposed protocol has high throughput and bandwidth utilization.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567702","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 : 2011-07-20DOI: 10.1109/PACC.2011.5979031
K. Sujatha, N. Pappa, A. Kalaivani
The flue gas monitoring plays a vital role in thermal power plants as these emissions contribute to the majority of air pollution and global warming. Hence an intelligent sensor can be used in place of gas analyzer which is economical as well as provides information regarding the flue gas emissions based on the color of the furnace flame. The intelligent sensor is capable of classifying the flame images based on the various features that are extracted. The features extracted vary from complete combustion category to incomplete combustion category. The attributes are selected using the CFS method. The selected attributes are then classified by the Radial Basis Function (RBF) classifier so as to give the information about the flue gas emissions based on the color of the flame images at the furnace level itself. The simulation was done using Weka tool.
{"title":"Soft Sensor for Flue Gas Monitoring in Power Station Boilers","authors":"K. Sujatha, N. Pappa, A. Kalaivani","doi":"10.1109/PACC.2011.5979031","DOIUrl":"https://doi.org/10.1109/PACC.2011.5979031","url":null,"abstract":"The flue gas monitoring plays a vital role in thermal power plants as these emissions contribute to the majority of air pollution and global warming. Hence an intelligent sensor can be used in place of gas analyzer which is economical as well as provides information regarding the flue gas emissions based on the color of the furnace flame. The intelligent sensor is capable of classifying the flame images based on the various features that are extracted. The features extracted vary from complete combustion category to incomplete combustion category. The attributes are selected using the CFS method. The selected attributes are then classified by the Radial Basis Function (RBF) classifier so as to give the information about the flue gas emissions based on the color of the flame images at the furnace level itself. The simulation was done using Weka tool.","PeriodicalId":403612,"journal":{"name":"2011 International Conference on Process Automation, Control and Computing","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134164000","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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