Pub Date : 2014-06-19DOI: 10.1109/ICAEE.2014.6838446
P. Panneerselvam
Embedded system has emerged as an important engineering technology in various biomedical applications. It is used as both invasive and non-invasive sensors for sensing, processing, transportation, archiving and visualization mostly using a computing device. It directly helps human kind in medical and paramedical applications that includes clinical analysis, monitoring and patient management. Non-availability of generic architecture disable the design and manufacturing of this type of autonomous embedded system and also becomes a latent and highly expensive task. Here, this paper proposes one kind of embedded system for application of an incurable genetic disease, sickle cell anemia (SCA) by integrating engineering and technologies using ARM 7 micro controller.
{"title":"Application of embedded system for a genetic disease, sickle cell anemia","authors":"P. Panneerselvam","doi":"10.1109/ICAEE.2014.6838446","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838446","url":null,"abstract":"Embedded system has emerged as an important engineering technology in various biomedical applications. It is used as both invasive and non-invasive sensors for sensing, processing, transportation, archiving and visualization mostly using a computing device. It directly helps human kind in medical and paramedical applications that includes clinical analysis, monitoring and patient management. Non-availability of generic architecture disable the design and manufacturing of this type of autonomous embedded system and also becomes a latent and highly expensive task. Here, this paper proposes one kind of embedded system for application of an incurable genetic disease, sickle cell anemia (SCA) by integrating engineering and technologies using ARM 7 micro controller.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"516 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270354","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838541
R. Arulmurugan, N. Vanitha
This Harnessing energy from the abundant and free sunlight is now a days a hot-topic among the research community. The availability of cheap solar modules has made it possible to harvest solar energy with better efficiency. The nature of solar modules is nonlinear and therefore the process of impedance matching is essential. The proper impedance matching ensures extraction of the maximum power from solar PV module. Several algorithms are reported in literatures that are used to operate the DC-DC converter around MPP. Among those algorithms online techniques are most efficient and easiest to implement. However, the offline techniques are simple but power in loss. In this paper proposed a modified FLC based FOINC algorithm for online MPPT technique. The proposed technique deals with intelligent about measurement of voltage and current. The technique is modeled and simulated in MATLAB/Simulink environment and the results shows satisfactory performance against test conditions.
{"title":"An intelligent novel FLC based FOINC MPPT technique for PV applications","authors":"R. Arulmurugan, N. Vanitha","doi":"10.1109/ICAEE.2014.6838541","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838541","url":null,"abstract":"This Harnessing energy from the abundant and free sunlight is now a days a hot-topic among the research community. The availability of cheap solar modules has made it possible to harvest solar energy with better efficiency. The nature of solar modules is nonlinear and therefore the process of impedance matching is essential. The proper impedance matching ensures extraction of the maximum power from solar PV module. Several algorithms are reported in literatures that are used to operate the DC-DC converter around MPP. Among those algorithms online techniques are most efficient and easiest to implement. However, the offline techniques are simple but power in loss. In this paper proposed a modified FLC based FOINC algorithm for online MPPT technique. The proposed technique deals with intelligent about measurement of voltage and current. The technique is modeled and simulated in MATLAB/Simulink environment and the results shows satisfactory performance against test conditions.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123503984","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838451
Saket Jain, Piyush Kumar, M. Subashini
The proposed method deals with the study and analysis of ECG signal and thereafter the detection of heart abnormalities using LabVIEW Biomedical toolkit effectively. In the first phase, ECG signal is acquired which is then followed by filtering the raw ECG signal to remove unwanted noises. The next phase focuses on extracting the features from the acquired signal. Finally, different types of abnormalities particularly Sinus Bradycardia, Sinus Tachycardia, Supraventricular Tachycardia (SVT) Abnormal, Atrial Flutter and 1st degree AV Block are detected on the basis of features obtained. Thus the developed system predicts the heart abnormalities of a person, even before him/her consulting a doctor (preliminary investigation). The technique is user-friendly, low cost and hence anyone skeptic of heart problem can analyze his/her ECG using this efficient method.
{"title":"LABVIEW based expert system for detection of heart abnormalities","authors":"Saket Jain, Piyush Kumar, M. Subashini","doi":"10.1109/ICAEE.2014.6838451","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838451","url":null,"abstract":"The proposed method deals with the study and analysis of ECG signal and thereafter the detection of heart abnormalities using LabVIEW Biomedical toolkit effectively. In the first phase, ECG signal is acquired which is then followed by filtering the raw ECG signal to remove unwanted noises. The next phase focuses on extracting the features from the acquired signal. Finally, different types of abnormalities particularly Sinus Bradycardia, Sinus Tachycardia, Supraventricular Tachycardia (SVT) Abnormal, Atrial Flutter and 1st degree AV Block are detected on the basis of features obtained. Thus the developed system predicts the heart abnormalities of a person, even before him/her consulting a doctor (preliminary investigation). The technique is user-friendly, low cost and hence anyone skeptic of heart problem can analyze his/her ECG using this efficient method.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130816580","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838498
M. Janaki, R. Thirumalaivasan, N. Prabhu
Static Synchronous Compensator (STATCOM) is a Shunt active FACTS controller when connected at the mid point of the transmission line, it can improve voltage regulation, power flow and stability of the transmission systems. This paper analyzes the use of STATCOM with discrete control to improve the transient stability of power system. During transient period STATCOM is switched between inductive or capacitive or operating value and the reference value of reactive current is obtained from Fuzzy Logic based Discrete Controller (FLDC). The Fuzzy logic discrete controller is based on energy function. Transient simulation is carried out to analyze the system. The results of the case study system adapted from IEEE First Benchmark Model demonstrate the effectiveness of Fuzzy logic discrete controller in stabilizing the rotor angle oscillation. Linear analysis is performed on D-Q model of the system with STATCOM.
{"title":"Energy function based Fuzzy Logic Discrete control with STATCOM for stability improvement","authors":"M. Janaki, R. Thirumalaivasan, N. Prabhu","doi":"10.1109/ICAEE.2014.6838498","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838498","url":null,"abstract":"Static Synchronous Compensator (STATCOM) is a Shunt active FACTS controller when connected at the mid point of the transmission line, it can improve voltage regulation, power flow and stability of the transmission systems. This paper analyzes the use of STATCOM with discrete control to improve the transient stability of power system. During transient period STATCOM is switched between inductive or capacitive or operating value and the reference value of reactive current is obtained from Fuzzy Logic based Discrete Controller (FLDC). The Fuzzy logic discrete controller is based on energy function. Transient simulation is carried out to analyze the system. The results of the case study system adapted from IEEE First Benchmark Model demonstrate the effectiveness of Fuzzy logic discrete controller in stabilizing the rotor angle oscillation. Linear analysis is performed on D-Q model of the system with STATCOM.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130984434","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838493
M. Vysakh, M. Azharuddin, H. Vilas, K. Muralidhar, D. Paul, B. Jacob, T. S. Babu, N. Rajasekar
This paper proposes modified Particle Swarm Optimization (PSO) for maximum power point tracking in solar PV system. MPPT methods are used for extraction of maximum power from PV panels; since the non-linear characteristics of panel hinders the power output from the panel. Earlier proposed methods like HC, Incremental Conductance suffers from steady state and lower efficiency. This proposed evolutionary computation technique assures nearly zero steady state oscillation and faster convergence while tracking maximum power. The proposed PSO algorithm is tested on a DC-DC CUK Converter and simulation results are compared with Incremental Conductance and Hill Climbing methods.
{"title":"Maximum power point tracking using modified PSO with CUK Converter","authors":"M. Vysakh, M. Azharuddin, H. Vilas, K. Muralidhar, D. Paul, B. Jacob, T. S. Babu, N. Rajasekar","doi":"10.1109/ICAEE.2014.6838493","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838493","url":null,"abstract":"This paper proposes modified Particle Swarm Optimization (PSO) for maximum power point tracking in solar PV system. MPPT methods are used for extraction of maximum power from PV panels; since the non-linear characteristics of panel hinders the power output from the panel. Earlier proposed methods like HC, Incremental Conductance suffers from steady state and lower efficiency. This proposed evolutionary computation technique assures nearly zero steady state oscillation and faster convergence while tracking maximum power. The proposed PSO algorithm is tested on a DC-DC CUK Converter and simulation results are compared with Incremental Conductance and Hill Climbing methods.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272144","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838455
K. Sivasankaran, T. R. K. K. Chitroju, K. Reddy, M. S. Subrahmanyam, M. Harsha, P. S. Mallik
This paper presents the Radio Frequency Performance of gate engineered FinFET. Gate engineering is process of implementing different materials with different work functions on gate of device, and studying its impact on device operation. We have analyzed the capability of Single Material Gate (SMG), Dual Material Gate (DMG) and Triple Material Gate (TMG) gate FinFET for RF performance characteristics. We have used 3-D device simulation to extract the RF figure of merits such as transconductance generation factor (gm/Id), cut-off frequency (ft) and maximum oscillation frequency (fmax). The effect of different gate length ratios has also been reported. The result shows that TMG-FinFET exhibit superior RF performance as compared to SMG and DMG- FinFET.
{"title":"Effect of gate engineering in FinFET for RF applications","authors":"K. Sivasankaran, T. R. K. K. Chitroju, K. Reddy, M. S. Subrahmanyam, M. Harsha, P. S. Mallik","doi":"10.1109/ICAEE.2014.6838455","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838455","url":null,"abstract":"This paper presents the Radio Frequency Performance of gate engineered FinFET. Gate engineering is process of implementing different materials with different work functions on gate of device, and studying its impact on device operation. We have analyzed the capability of Single Material Gate (SMG), Dual Material Gate (DMG) and Triple Material Gate (TMG) gate FinFET for RF performance characteristics. We have used 3-D device simulation to extract the RF figure of merits such as transconductance generation factor (gm/Id), cut-off frequency (ft) and maximum oscillation frequency (fmax). The effect of different gate length ratios has also been reported. The result shows that TMG-FinFET exhibit superior RF performance as compared to SMG and DMG- FinFET.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120964244","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838564
B. J. Mohan, N. Babu
Speech recognition has wide range of applications in security systems, healthcare, telephony military, and equipment designed for handicapped. Speech is continuous varying signal. So, proper digital processing algorithm has to be selected for automatic speech recognition system. To obtain required information from the speech sample, features have to be extracted from it. For recognition purpose the feature are analyzed to make decisions. In this paper implementation of Speech recognition system in MATLAB environment is explained. Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Wrapping (DTW) are two algorithms adapted for feature extraction and pattern matching respectively. Results are obtained by one time training and continuous testing phases.
{"title":"Speech recognition using MFCC and DTW","authors":"B. J. Mohan, N. Babu","doi":"10.1109/ICAEE.2014.6838564","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838564","url":null,"abstract":"Speech recognition has wide range of applications in security systems, healthcare, telephony military, and equipment designed for handicapped. Speech is continuous varying signal. So, proper digital processing algorithm has to be selected for automatic speech recognition system. To obtain required information from the speech sample, features have to be extracted from it. For recognition purpose the feature are analyzed to make decisions. In this paper implementation of Speech recognition system in MATLAB environment is explained. Mel-Frequency Cepstral Coefficients (MFCC) and Dynamic Time Wrapping (DTW) are two algorithms adapted for feature extraction and pattern matching respectively. Results are obtained by one time training and continuous testing phases.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121527545","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838495
M. Janaki, R. Thirumalaivasan, N. Prabhu
The Voltage Source Converter based HVDC provides asynchronous interconnection between two AC systems. The use of VSC HVDC enables independent control of real and reactive power. The VSC based HVDC transmission system consists of two converter stations connected by a dc cable/line. This paper presents modelling and the design of controller for VSC HVDC. The various operating cases of VSC HVDC are considered. In each case there are several controllers gains in HVDC link. A systematic approach is used for selecting the controller parameters and Genetic Algorithm (GA) is used for tuning the controller parameters. The various operating cases of VSC HVDC are considered in controller parameters optimization. The GA enables the usage of the same controller gains for all operating cases while maintaining the system stability.
{"title":"Design of robust controller for VSC based HVDC using Genetic Algorithm","authors":"M. Janaki, R. Thirumalaivasan, N. Prabhu","doi":"10.1109/ICAEE.2014.6838495","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838495","url":null,"abstract":"The Voltage Source Converter based HVDC provides asynchronous interconnection between two AC systems. The use of VSC HVDC enables independent control of real and reactive power. The VSC based HVDC transmission system consists of two converter stations connected by a dc cable/line. This paper presents modelling and the design of controller for VSC HVDC. The various operating cases of VSC HVDC are considered. In each case there are several controllers gains in HVDC link. A systematic approach is used for selecting the controller parameters and Genetic Algorithm (GA) is used for tuning the controller parameters. The various operating cases of VSC HVDC are considered in controller parameters optimization. The GA enables the usage of the same controller gains for all operating cases while maintaining the system stability.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435750","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838480
P. K. Maroti, M. Ranjana, B. Revathi
This paper presents a single switch topology of DC-DC multilevel buck-boost converter with very high voltage gain ratio. It is a pulse width modulation (PWM) based multilevel buck-boost converter (MLBBC) consisting of 2N-1 Diodes, 2N-1 capacitors for N level boost converter. The proposed converter topology is a combination of buck-boost converter and cockcroft-walton voltage multiplier. The main advantage of proposed topology is output voltage can be increased by increasing number of capacitors and diodes at output side without disturbing the main circuit. The mathematical analysis and circuit operation discussed.
{"title":"A high gain DC-DC converter using voltage multiplier","authors":"P. K. Maroti, M. Ranjana, B. Revathi","doi":"10.1109/ICAEE.2014.6838480","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838480","url":null,"abstract":"This paper presents a single switch topology of DC-DC multilevel buck-boost converter with very high voltage gain ratio. It is a pulse width modulation (PWM) based multilevel buck-boost converter (MLBBC) consisting of 2N-1 Diodes, 2N-1 capacitors for N level boost converter. The proposed converter topology is a combination of buck-boost converter and cockcroft-walton voltage multiplier. The main advantage of proposed topology is output voltage can be increased by increasing number of capacitors and diodes at output side without disturbing the main circuit. The mathematical analysis and circuit operation discussed.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"81 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122590930","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 : 2014-06-19DOI: 10.1109/ICAEE.2014.6838555
M. Chinnaiah, G. DivyaVani, T. Satyasavithri, P. RajeshKumar
This paper presents a shortest path algorithm for FPGA based robot which can assist in industrial environment for various tasks. When a desired task is assigned to the robot, it chooses a shortest path from the source to the destination. Path planning is an important issue for an autonomous robot to fulfill any desired task. Today many robots implement the path planning depending on the track, but practically track doesn't exists. So path planning with track is not a right choice. This paper overcomes tracking path issues, estimates the exact position, and improves effective localization and accuracy using land mark determination (RFID). With the help of ultrasonic sensors, the robot overcomes all the obstacles in its path. By using obstacle avoidance approach, a robot can perform a desired task using optimal resources. When a navigation task is assigned to the robot, it starts from there evaluating shortest distance to reach the destination. The proposed Robot is incorporated with Xilinx board XC3S500E (FPGA Spartan 3E) and RFID reader which checks the signal from RFID tags to localize the robot with respect to global position. The destination location is received from the remote location and the shortest path is computed by algorithm. The Implementation results have been shown and estimation of shortest path is done successfully.
{"title":"Implementation of Shortest path planning algorithm without track using FPGA robot: A new approach","authors":"M. Chinnaiah, G. DivyaVani, T. Satyasavithri, P. RajeshKumar","doi":"10.1109/ICAEE.2014.6838555","DOIUrl":"https://doi.org/10.1109/ICAEE.2014.6838555","url":null,"abstract":"This paper presents a shortest path algorithm for FPGA based robot which can assist in industrial environment for various tasks. When a desired task is assigned to the robot, it chooses a shortest path from the source to the destination. Path planning is an important issue for an autonomous robot to fulfill any desired task. Today many robots implement the path planning depending on the track, but practically track doesn't exists. So path planning with track is not a right choice. This paper overcomes tracking path issues, estimates the exact position, and improves effective localization and accuracy using land mark determination (RFID). With the help of ultrasonic sensors, the robot overcomes all the obstacles in its path. By using obstacle avoidance approach, a robot can perform a desired task using optimal resources. When a navigation task is assigned to the robot, it starts from there evaluating shortest distance to reach the destination. The proposed Robot is incorporated with Xilinx board XC3S500E (FPGA Spartan 3E) and RFID reader which checks the signal from RFID tags to localize the robot with respect to global position. The destination location is received from the remote location and the shortest path is computed by algorithm. The Implementation results have been shown and estimation of shortest path is done successfully.","PeriodicalId":151739,"journal":{"name":"2014 International Conference on Advances in Electrical Engineering (ICAEE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948828","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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