Pub Date : 2010-12-01DOI: 10.1109/INDCON.2010.5712659
K. Ramakrishnan, G. Ray
In this paper, we consider the problem of delay-dependent robust stability of a class of linear neutral systems with mixed time-delays and nonlinear perturbations using Lyapunov-Krasovskii functional approach. By constructing a candidate Lyapunov-Krasovskii (LK) functional, a less conservative robust delay-dependent stability criterion is proposed in terms of matrix inequalities. Reduction in conservatism of the proposed stability criterion over recently reported results is attributed to the candidate LK functional, and to tighter bounding of the time-derivative of the functional without neglecting any useful terms in the delay-dependent stability analysis. The analysis, eventually, culminates into a stability condition in convex LMI framework, and is solved non-conservatively at boundary conditions. The effectiveness of the proposed stability criterion is demonstrated through standard numerical examples.
{"title":"An improved delay-dependent stability criterion for neutral systems with mixed time-delays and nonlinear perturbations","authors":"K. Ramakrishnan, G. Ray","doi":"10.1109/INDCON.2010.5712659","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712659","url":null,"abstract":"In this paper, we consider the problem of delay-dependent robust stability of a class of linear neutral systems with mixed time-delays and nonlinear perturbations using Lyapunov-Krasovskii functional approach. By constructing a candidate Lyapunov-Krasovskii (LK) functional, a less conservative robust delay-dependent stability criterion is proposed in terms of matrix inequalities. Reduction in conservatism of the proposed stability criterion over recently reported results is attributed to the candidate LK functional, and to tighter bounding of the time-derivative of the functional without neglecting any useful terms in the delay-dependent stability analysis. The analysis, eventually, culminates into a stability condition in convex LMI framework, and is solved non-conservatively at boundary conditions. The effectiveness of the proposed stability criterion is demonstrated through standard numerical examples.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123984588","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712756
Y. Choukiker, S. K. Behera
A small size and multiband behavior in the shape of Sierpinski triangle fractal is presented in this paper. The model is applied to predict the behavior of the fractal antenna when the flare angle and height of the antenna is changed. The simulated at ≥ −10 dB reflection bandwidth of the multiband frequencies for band 1, band 2, and band 3 are presented in this paper. The radiation characteristics, E M characteristics, gain and directivity are also presented and discussed.
{"title":"CPW-Fed compact multiband Sierpinski triangle antenna","authors":"Y. Choukiker, S. K. Behera","doi":"10.1109/INDCON.2010.5712756","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712756","url":null,"abstract":"A small size and multiband behavior in the shape of Sierpinski triangle fractal is presented in this paper. The model is applied to predict the behavior of the fractal antenna when the flare angle and height of the antenna is changed. The simulated at ≥ −10 dB reflection bandwidth of the multiband frequencies for band 1, band 2, and band 3 are presented in this paper. The radiation characteristics, E M characteristics, gain and directivity are also presented and discussed.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115317591","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712608
A. Chandra, A. Patra, C. Bose
This paper provides a framework for error rate performance analysis of M-ary phase-shift keying (MPSK) systems with improper phase estimation over some common fading channels obeying Rayleigh, Rician, or Nakagami-m distribution. In addition, the channel is also perturbed by additive white Gaussian noise (AWGN). The phase distortions considered in the paper are random, unbiased, i.e. having zero-mean, and follows Tikhonov distribution. Analytical average symbol error probability (SEP) is calculated through a new efficient method and plotted as a function of signal to noise ratio (SNR) for different values of the modulation order, M. Our approach relies upon knowledge of the moment generating function (MGF) of the received SNR. The resulting expression is an integral over a finite range of integrands containing only elementary functions. Extensive Monte Carlo simulations were performed to validate the theoretical results. Although the SEP can be computed via direct numerical integration, the MGF method performs far better because direct integration suffers from numerical instability and inaccuracy due to the presence of infinite integration limits or may contain complex mathematical functions.
{"title":"Effect of imperfect phase synchronization on the error rate performance of MPSK in Rayleigh, Rician and Nakagami fading channels","authors":"A. Chandra, A. Patra, C. Bose","doi":"10.1109/INDCON.2010.5712608","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712608","url":null,"abstract":"This paper provides a framework for error rate performance analysis of M-ary phase-shift keying (MPSK) systems with improper phase estimation over some common fading channels obeying Rayleigh, Rician, or Nakagami-m distribution. In addition, the channel is also perturbed by additive white Gaussian noise (AWGN). The phase distortions considered in the paper are random, unbiased, i.e. having zero-mean, and follows Tikhonov distribution. Analytical average symbol error probability (SEP) is calculated through a new efficient method and plotted as a function of signal to noise ratio (SNR) for different values of the modulation order, M. Our approach relies upon knowledge of the moment generating function (MGF) of the received SNR. The resulting expression is an integral over a finite range of integrands containing only elementary functions. Extensive Monte Carlo simulations were performed to validate the theoretical results. Although the SEP can be computed via direct numerical integration, the MGF method performs far better because direct integration suffers from numerical instability and inaccuracy due to the presence of infinite integration limits or may contain complex mathematical functions.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"365 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115978219","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712589
A. Sutradhar, A. Sengupta, V. Challa
In the present work, artificial neural network (ANN) has been used to identify a servo-driven inverted pendulum system. The inverted pendulum is a benchmark problem of nonlinear multivariable system with inherent instability. The multi variable system has been considered with servomotor supply voltage as the input and four states of the system being the outputs. An LSVF controller has been used to stabilize the system for identification in closed loop. Here the non linear model of the inverted pendulum has been simulated. The Levenberg-Marquardt back-propagation method has been used for the non linear system identification via Feed-forward Neural Network (FNN). The neural network is trained using the error between the model's outputs and the plant's actual outputs. The results show good match between predicted and actual outputs.
{"title":"Identification of servo-driven inverted pendulum system using neural network","authors":"A. Sutradhar, A. Sengupta, V. Challa","doi":"10.1109/INDCON.2010.5712589","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712589","url":null,"abstract":"In the present work, artificial neural network (ANN) has been used to identify a servo-driven inverted pendulum system. The inverted pendulum is a benchmark problem of nonlinear multivariable system with inherent instability. The multi variable system has been considered with servomotor supply voltage as the input and four states of the system being the outputs. An LSVF controller has been used to stabilize the system for identification in closed loop. Here the non linear model of the inverted pendulum has been simulated. The Levenberg-Marquardt back-propagation method has been used for the non linear system identification via Feed-forward Neural Network (FNN). The neural network is trained using the error between the model's outputs and the plant's actual outputs. The results show good match between predicted and actual outputs.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116230515","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712636
P. Babu, M. Vanamali, M. Kumar, V. Hemachandra
This paper proposes a novel heuristic method known as Loop-Eliminating (L-E) method for Distribution System Network Reconfiguration. Network reconfiguration is the process of altering the topological structure of the electrical distribution system by changing the status of sectionalizing switches/tie switches. Network Reconfiguration can be used as a multi objective tool to solve various problems such as loss minimization, service restoration and load balancing in distribution systems. This paper presents an efficient algorithm based upon L-E method to solve the loss minimization problem for a given distribution system. The L-E method is a computationally attractive heuristic method, used to find out optimal configuration of a given radial distribution system. The proposed algorithm is coded in MATLAB 2009b version on a PC with 1GB RAM and Intel Core 2 Duo 1.8 GHz processor. To check the validity of the algorithm, the proposed algorithm has been tested on standard IEEE 33 and 69 bus distribution systems and the simulated results are used to confirm the capability of the proposed algorithm being applied to the systems.
{"title":"Network reconfiguration in distribution systems using L-E method","authors":"P. Babu, M. Vanamali, M. Kumar, V. Hemachandra","doi":"10.1109/INDCON.2010.5712636","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712636","url":null,"abstract":"This paper proposes a novel heuristic method known as Loop-Eliminating (L-E) method for Distribution System Network Reconfiguration. Network reconfiguration is the process of altering the topological structure of the electrical distribution system by changing the status of sectionalizing switches/tie switches. Network Reconfiguration can be used as a multi objective tool to solve various problems such as loss minimization, service restoration and load balancing in distribution systems. This paper presents an efficient algorithm based upon L-E method to solve the loss minimization problem for a given distribution system. The L-E method is a computationally attractive heuristic method, used to find out optimal configuration of a given radial distribution system. The proposed algorithm is coded in MATLAB 2009b version on a PC with 1GB RAM and Intel Core 2 Duo 1.8 GHz processor. To check the validity of the algorithm, the proposed algorithm has been tested on standard IEEE 33 and 69 bus distribution systems and the simulated results are used to confirm the capability of the proposed algorithm being applied to the systems.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114797528","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712729
S. Saha, R. Suryavanshi
Offshore oil rigs use large dc drives, usually fed from a.c. utility services through ac/dc converters, thus distorting current and voltage waveforms. Passive filters have been very effective solution for the harmonic mitigation as well as reactive VAR compensation. However, improper choice of filter components may lead to severe voltage and current stress to power system components or even sometimes may further deteriorate the power quality. This paper describes an effective design procedure of passive filter to mitigate power system harmonics of a typical offshore oil rig.
{"title":"Power system harmonic mitigation of an offshore oil rig using passive shunt filter","authors":"S. Saha, R. Suryavanshi","doi":"10.1109/INDCON.2010.5712729","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712729","url":null,"abstract":"Offshore oil rigs use large dc drives, usually fed from a.c. utility services through ac/dc converters, thus distorting current and voltage waveforms. Passive filters have been very effective solution for the harmonic mitigation as well as reactive VAR compensation. However, improper choice of filter components may lead to severe voltage and current stress to power system components or even sometimes may further deteriorate the power quality. This paper describes an effective design procedure of passive filter to mitigate power system harmonics of a typical offshore oil rig.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121115143","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712691
N. Saxena, Ashwani Kumar
This paper considers the importance of the load voltage dynamics in autonomous hybrid power system. In steady state the reactive powers of the system components are balanced but small perturbations at supply or load end change the dynamics of the system. The system attains its steady state in some time with the flow of additional reactive power in the system through either synchronous generator or induction generator or FACTS controller STATCOM. In this paper, the interaction between the load and the power system is explored in terms of load and system transfer function. A comparison is given with and without the interaction of load with system. It is found that the system reactive power demand by the STATCOM and voltage variation will be reduced if the load interaction with system is also considered.
{"title":"Load modeling interaction on hybrid power system using STATCOM","authors":"N. Saxena, Ashwani Kumar","doi":"10.1109/INDCON.2010.5712691","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712691","url":null,"abstract":"This paper considers the importance of the load voltage dynamics in autonomous hybrid power system. In steady state the reactive powers of the system components are balanced but small perturbations at supply or load end change the dynamics of the system. The system attains its steady state in some time with the flow of additional reactive power in the system through either synchronous generator or induction generator or FACTS controller STATCOM. In this paper, the interaction between the load and the power system is explored in terms of load and system transfer function. A comparison is given with and without the interaction of load with system. It is found that the system reactive power demand by the STATCOM and voltage variation will be reduced if the load interaction with system is also considered.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024960","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712694
P. Bera, D. Das, T. Basu
In this paper, the coordinated operation of conventional power system stabilizer (CPSS) and thyristor controlled series capacitor (TCSC) is studied. The analysis of mode controllability is used to select the effective location for TCSC. The performance of TCSC equipped with a phase lead-lag controller is investigated. The controllers design problem is formulated as an optimization problem. The genetic algorithm (GA) is used to search for optimal settings of controller parameters. A coordinated control scheme is applied to a three machine nine bus power system. The proposed control scheme is tested under different loading conditions and analysis reveals that the coordinated control of CPSS and TCSC equipped with lead-lag controller gives better dynamic performances as compared to with only CPSSs.
{"title":"Coordinated design of excitation and TCSC-based stabilizers for multimachine power system","authors":"P. Bera, D. Das, T. Basu","doi":"10.1109/INDCON.2010.5712694","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712694","url":null,"abstract":"In this paper, the coordinated operation of conventional power system stabilizer (CPSS) and thyristor controlled series capacitor (TCSC) is studied. The analysis of mode controllability is used to select the effective location for TCSC. The performance of TCSC equipped with a phase lead-lag controller is investigated. The controllers design problem is formulated as an optimization problem. The genetic algorithm (GA) is used to search for optimal settings of controller parameters. A coordinated control scheme is applied to a three machine nine bus power system. The proposed control scheme is tested under different loading conditions and analysis reveals that the coordinated control of CPSS and TCSC equipped with lead-lag controller gives better dynamic performances as compared to with only CPSSs.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114315230","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712607
A. Bhattacharya, P. K. Chattopadhyay
This Paper presents an Oppositional Biogeography-Based Optimization algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal power systems. Emission of NOx and SOx are considered for case studies. The proposed method is a modification over Biogeography-Based Optimization technique, designed to accelerate its convergence rate and to improve the quality of solution. This method combines opposition-based learning scheme along-with migration concept of BBO. Instead of ordinary random numbers, quasi-reflected numbers have been employed in this work for initialization of population and also for a new operation, namely, generation jumping. The proposed algorithm has been applied for solving multi-objective EELD problems in a 3 Generator system with NOX, SOX emission and in a 6 Generator system with both valve-point loading and NOX emission. The superiority of the proposed method over other alternatives has been demonstrated. Considering the solution quality the proposed method seems to be a promising alternative to solve these problems.
{"title":"Oppositional Biogeography-Based Optimization for multi-objective Economic Emission Load Dispatch","authors":"A. Bhattacharya, P. K. Chattopadhyay","doi":"10.1109/INDCON.2010.5712607","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712607","url":null,"abstract":"This Paper presents an Oppositional Biogeography-Based Optimization algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal power systems. Emission of NOx and SOx are considered for case studies. The proposed method is a modification over Biogeography-Based Optimization technique, designed to accelerate its convergence rate and to improve the quality of solution. This method combines opposition-based learning scheme along-with migration concept of BBO. Instead of ordinary random numbers, quasi-reflected numbers have been employed in this work for initialization of population and also for a new operation, namely, generation jumping. The proposed algorithm has been applied for solving multi-objective EELD problems in a 3 Generator system with NOX, SOX emission and in a 6 Generator system with both valve-point loading and NOX emission. The superiority of the proposed method over other alternatives has been demonstrated. Considering the solution quality the proposed method seems to be a promising alternative to solve these problems.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133181256","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 : 2010-12-01DOI: 10.1109/INDCON.2010.5712728
S. Koolagudi, K. S. Rao
In this work, vowel onset points (VOPs) and pitch based spectral features are used for speech emotion classification. VOP is an anchor point from which vowel begins in a CV unit (generally a syllable). These are estimated using energy values of linear prediction (LP) residual, short time spectrum and modulation spectrum. Identification of vowel, consonant and CV transition regions of a syllable is done based on VOP locations. Spectral features are separately extracted from vowel, consonant and CV transition regions. Emotion recognition models (ERMs) are developed separately using these spectral features. Gaussian mixture models (GMMs) are used as classifiers. Pitch synchronous analysis is done on speech signal and spectral features are extracted from each pitch period to develop emotion models. Simulated emotion speech corpus, IITKGP-SESC is used as a database. Results of IITKGP-SESC are compared with those of Berlin emotion speech database Emo-DB. Emotion recognition performance observed is about 92% and 89% for IITKGP-SESC and Emo-DB respectively. Later the approach has been extended to the recognition of real life emotions, using IITKGP-movie emotion speech corpus (IITKGP-MESC). About 82% of emotion recognition performance is observed in this case.
{"title":"Real life emotion classification using VOP and pitch based spectral features","authors":"S. Koolagudi, K. S. Rao","doi":"10.1109/INDCON.2010.5712728","DOIUrl":"https://doi.org/10.1109/INDCON.2010.5712728","url":null,"abstract":"In this work, vowel onset points (VOPs) and pitch based spectral features are used for speech emotion classification. VOP is an anchor point from which vowel begins in a CV unit (generally a syllable). These are estimated using energy values of linear prediction (LP) residual, short time spectrum and modulation spectrum. Identification of vowel, consonant and CV transition regions of a syllable is done based on VOP locations. Spectral features are separately extracted from vowel, consonant and CV transition regions. Emotion recognition models (ERMs) are developed separately using these spectral features. Gaussian mixture models (GMMs) are used as classifiers. Pitch synchronous analysis is done on speech signal and spectral features are extracted from each pitch period to develop emotion models. Simulated emotion speech corpus, IITKGP-SESC is used as a database. Results of IITKGP-SESC are compared with those of Berlin emotion speech database Emo-DB. Emotion recognition performance observed is about 92% and 89% for IITKGP-SESC and Emo-DB respectively. Later the approach has been extended to the recognition of real life emotions, using IITKGP-movie emotion speech corpus (IITKGP-MESC). About 82% of emotion recognition performance is observed in this case.","PeriodicalId":109071,"journal":{"name":"2010 Annual IEEE India Conference (INDICON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130326132","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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