Pub Date : 2017-10-01DOI: 10.1109/CERA.2017.8343311
Devesh Shukla, E. S. Lakshmi, S. Singh
The recent changes in the power system structure has created renewed interest in power system operation. The open access and deregulation made the operation of system difficult as the power drawl and injection became open for all. This made Available Transfer Capability (ATC) estimation and enhancement an important factor both from commercial as well as operation point of view. In this paper, a PS-NR (pattern search and newton raphson) based technique for estimation of available transfer capability has been proposed. MATLAB and MATPOWER has been used for analysis of IEEE 24 BUS RTS system and IEEE 30 bus system using this technique.
{"title":"Estimation of ATC using PS-NR","authors":"Devesh Shukla, E. S. Lakshmi, S. Singh","doi":"10.1109/CERA.2017.8343311","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343311","url":null,"abstract":"The recent changes in the power system structure has created renewed interest in power system operation. The open access and deregulation made the operation of system difficult as the power drawl and injection became open for all. This made Available Transfer Capability (ATC) estimation and enhancement an important factor both from commercial as well as operation point of view. In this paper, a PS-NR (pattern search and newton raphson) based technique for estimation of available transfer capability has been proposed. MATLAB and MATPOWER has been used for analysis of IEEE 24 BUS RTS system and IEEE 30 bus system using this technique.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126007323","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343307
Tarun Maini, Abhishek Kumar, R. Misra, Devender Singh
In this paper two evolutionary computation techniques viz. Particle Swarm Optimization (PSO) and Intelligent Dynamic Swarm (IDS) have been implemented for feature selection. In this paper, a population initialization method for PSO and IDS has been proposed, which uniformly samples the search space. Proposed initialization method shows improved performance compared to random initialization techniques. Use of proposed distributed sampled(DS) initialization of seed solutions in PSO and IDS yields significant improvement in selected subset size, execution time and classification accuracy, as compared to randomly initialized PSO and IDS. A pre-processing is also done on all the datasets before applying proposed feature selection method. The fitness function for selection of subset of features is rough dependency measure of any feature or set of features to class labels. Results of the experiments show that with the help of proposed initialization, PSO and IDS are able to select the best set of features with less execution time.
{"title":"Rough set based feature selection using swarm intelligence with distributed sampled initialisation","authors":"Tarun Maini, Abhishek Kumar, R. Misra, Devender Singh","doi":"10.1109/CERA.2017.8343307","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343307","url":null,"abstract":"In this paper two evolutionary computation techniques viz. Particle Swarm Optimization (PSO) and Intelligent Dynamic Swarm (IDS) have been implemented for feature selection. In this paper, a population initialization method for PSO and IDS has been proposed, which uniformly samples the search space. Proposed initialization method shows improved performance compared to random initialization techniques. Use of proposed distributed sampled(DS) initialization of seed solutions in PSO and IDS yields significant improvement in selected subset size, execution time and classification accuracy, as compared to randomly initialized PSO and IDS. A pre-processing is also done on all the datasets before applying proposed feature selection method. The fitness function for selection of subset of features is rough dependency measure of any feature or set of features to class labels. Results of the experiments show that with the help of proposed initialization, PSO and IDS are able to select the best set of features with less execution time.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129704739","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343376
Biju G.M., K. Shihabudheen, G. Pillai
This paper investigates the performance of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Extreme Learning ANFIS (ELANFIS) in the chaotic time series prediction problem. ELANFIS is one of the neuro-fuzzy systems, which combines the learning capabilities of extreme learning machine (ELM) and the explicit knowledge of the fuzzy systems. In ELANFIS, premise parameters are randomly generated with some constraints to accommodate fuzziness, whereas consequent parameters are identified analytically using Moore-Penrose generalized inverse. Two benchmark problems, Mackey Glass equation and Lorenz equation, are used to compare the performance measures of the two algorithms. It has been shown that when the complexity of the model is increased the performance of ELANFIS is better than ANFIS because of the much lower training time required.
{"title":"Chaotic time series prediction using ELANFIS","authors":"Biju G.M., K. Shihabudheen, G. Pillai","doi":"10.1109/CERA.2017.8343376","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343376","url":null,"abstract":"This paper investigates the performance of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Extreme Learning ANFIS (ELANFIS) in the chaotic time series prediction problem. ELANFIS is one of the neuro-fuzzy systems, which combines the learning capabilities of extreme learning machine (ELM) and the explicit knowledge of the fuzzy systems. In ELANFIS, premise parameters are randomly generated with some constraints to accommodate fuzziness, whereas consequent parameters are identified analytically using Moore-Penrose generalized inverse. Two benchmark problems, Mackey Glass equation and Lorenz equation, are used to compare the performance measures of the two algorithms. It has been shown that when the complexity of the model is increased the performance of ELANFIS is better than ANFIS because of the much lower training time required.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719000","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343383
Paavni Shukla, Sonal Singh, T. Joshi, Sudhakar Kumar, S. Kelkar, M. R. Das, K. Moudgalya
Here, an automation system based on MODBUS protocol has been conceptualized and implemented in the light of industrial applications. The proposed network is an improvement over existing automation techniques, as it attempts to extend the applicability of MODBUS. Thus, this work presents a methodology for empowering any sensor (irrespective of its power and function) to communicate in accordance with MODBUS protocol. Moreover, the presented system is scalable and thus can be implemented for a multiple number of sensors (slaves) to communicate with a master (any microprocessor). The absolute exploitation of open source tools in this paper supports the cost effectiveness of the idea and henceforth, encourages the usage of the same for vast and complex applications.
{"title":"Design and development of a MODBUS automation system for industrial applications","authors":"Paavni Shukla, Sonal Singh, T. Joshi, Sudhakar Kumar, S. Kelkar, M. R. Das, K. Moudgalya","doi":"10.1109/CERA.2017.8343383","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343383","url":null,"abstract":"Here, an automation system based on MODBUS protocol has been conceptualized and implemented in the light of industrial applications. The proposed network is an improvement over existing automation techniques, as it attempts to extend the applicability of MODBUS. Thus, this work presents a methodology for empowering any sensor (irrespective of its power and function) to communicate in accordance with MODBUS protocol. Moreover, the presented system is scalable and thus can be implemented for a multiple number of sensors (slaves) to communicate with a master (any microprocessor). The absolute exploitation of open source tools in this paper supports the cost effectiveness of the idea and henceforth, encourages the usage of the same for vast and complex applications.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132102053","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343323
A. Saraswat, A. Saini
In this paper, a competitive bidding based congestion management approach is developed for a pool type electricity market model. The proposed approach primarily mitigates the congestion based on rescheduling both the real and reactive power output of generators. The severe transmission congestion problem may be handled by adopting group wise load curtailment scheme based on willingness to pay approach in addition to real and reactive generation rescheduling. The separate bids are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which simultaneously minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed approach is tested for different congestion scenarios on 39-bus New England power system.
{"title":"Multi-objective congestion management approach in competitive electricity markets","authors":"A. Saraswat, A. Saini","doi":"10.1109/CERA.2017.8343323","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343323","url":null,"abstract":"In this paper, a competitive bidding based congestion management approach is developed for a pool type electricity market model. The proposed approach primarily mitigates the congestion based on rescheduling both the real and reactive power output of generators. The severe transmission congestion problem may be handled by adopting group wise load curtailment scheme based on willingness to pay approach in addition to real and reactive generation rescheduling. The separate bids are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which simultaneously minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed approach is tested for different congestion scenarios on 39-bus New England power system.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125554488","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343377
Prashant J. Gaidhane, Anupam Kumar, M. Nigam
This paper presents a simple design and parameters tuning approach using multi-objective optimization of two-degree of freedom fractional order proportional-integralderivative (2-DOF-FOPID) controller applied to magnetic levitation system. A multi-objective optimization of various controller parameters is achieved through nondominated sorting genetic algorithm (NSGA-II). The minimization of performance index integrated absolute error (IAE) for both set-point tracking and external disturbance rejection are considered as the objective functions. A generated Pareto optimal solution set is examined and final most reasonable solution is obtained using Nash solution criteria. The comparative performance evaluation of proposed 2-DOF-FOPID controller is assessed against 1-DOF-FOPID and classical PID controllers. The effectiveness of controller for setpoint tracking and rejection of external disturbances is exhibited through proper simulation results and found that the proposed 2-DOF-FOPID controller produces superior results than its conventional counterparts.
{"title":"Tuning of two-DOF-FOPID controller for magnetic levitation system: A multi-objective optimization approach","authors":"Prashant J. Gaidhane, Anupam Kumar, M. Nigam","doi":"10.1109/CERA.2017.8343377","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343377","url":null,"abstract":"This paper presents a simple design and parameters tuning approach using multi-objective optimization of two-degree of freedom fractional order proportional-integralderivative (2-DOF-FOPID) controller applied to magnetic levitation system. A multi-objective optimization of various controller parameters is achieved through nondominated sorting genetic algorithm (NSGA-II). The minimization of performance index integrated absolute error (IAE) for both set-point tracking and external disturbance rejection are considered as the objective functions. A generated Pareto optimal solution set is examined and final most reasonable solution is obtained using Nash solution criteria. The comparative performance evaluation of proposed 2-DOF-FOPID controller is assessed against 1-DOF-FOPID and classical PID controllers. The effectiveness of controller for setpoint tracking and rejection of external disturbances is exhibited through proper simulation results and found that the proposed 2-DOF-FOPID controller produces superior results than its conventional counterparts.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890609","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343313
A. Nayak, K. Mohanty, K. Thakre, V. Kommukuri, R. Mishra
Popular alternatives of conventional sources are wind and solar. Still power system planners are uncertain in estimating the contribution made by the intermittent sources. Authors have made some effort to find out the available capacity of PV system depending on the global solar radiation intensity and the load met by the effective capacity. Load met by the PV system is termed as effective load carrying capability (ELCC), is estimated by comparing reliability indices loss of load expectation (LOLE) before and after adding PV system. A test system is considered to validate the proposed methodology.
{"title":"Probabilistic estimation of capacity value of photovoltaic system","authors":"A. Nayak, K. Mohanty, K. Thakre, V. Kommukuri, R. Mishra","doi":"10.1109/CERA.2017.8343313","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343313","url":null,"abstract":"Popular alternatives of conventional sources are wind and solar. Still power system planners are uncertain in estimating the contribution made by the intermittent sources. Authors have made some effort to find out the available capacity of PV system depending on the global solar radiation intensity and the load met by the effective capacity. Load met by the PV system is termed as effective load carrying capability (ELCC), is estimated by comparing reliability indices loss of load expectation (LOLE) before and after adding PV system. A test system is considered to validate the proposed methodology.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116054292","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343335
Mohit Sharma, Praveen Kumar, Vishal Kumar
Reliability and sustainability of power supply between already existing power network and Microgrid (MG) having DGs is ensured by both the grid connected and islanded mode of operations. The selection of mode of operation of a MG is based on technical and economic factors. The intentional islanding of the MG depends on the prevailing operating condition of grid and MG. These conditions are sensed at point of common coupling (PCC) and accordingly the switching to the mode is performed. This paper presents the detection and evaluation of operating conditions of the network at PCC, and switching to Islanded mode on the need. The conditions have been categorized for the decision of intentional Islanding. The cases under each category have been simulated on Real Time Digital Simulator (RTDS®). The results have also been analyzed.
{"title":"Intentional islanding of microgrid","authors":"Mohit Sharma, Praveen Kumar, Vishal Kumar","doi":"10.1109/CERA.2017.8343335","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343335","url":null,"abstract":"Reliability and sustainability of power supply between already existing power network and Microgrid (MG) having DGs is ensured by both the grid connected and islanded mode of operations. The selection of mode of operation of a MG is based on technical and economic factors. The intentional islanding of the MG depends on the prevailing operating condition of grid and MG. These conditions are sensed at point of common coupling (PCC) and accordingly the switching to the mode is performed. This paper presents the detection and evaluation of operating conditions of the network at PCC, and switching to Islanded mode on the need. The conditions have been categorized for the decision of intentional Islanding. The cases under each category have been simulated on Real Time Digital Simulator (RTDS®). The results have also been analyzed.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121384048","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343387
A. Jha, Bhim Singh
This paper deals with power factor correction (PFC) in low voltage high current (LVHC) multi-string light emitting diode (LED) using a bridgeless (BL) ZETA. This application is designed for large area LED lighting with illumination control. A multi-mode LED dimming technique is used for lighting control. The BL-ZETA PFC converter feeds power to isolated flyback DC-DC converter. The regulated low voltage from flyback converter is a source power to the synchronous buck converters for multi-string LED driver and forced cooling system for LED junction. The BL-ZETA PFC converter inductor design is based on discontinuous inductor current modes (DICM) which provide good PFC at low cost. The proposed LED driver is designed and developed with hardware test results. The critical parameter of the LED driver is tested and measured at full load with dimming control capability for universal input AC (90–265 V). The total harmonic distortion (THD) is observed lesser than the IEC 61000-3-2 Class C harmonic limits.
{"title":"Bridgeless ZETA PFC converter for low voltage high current LED driver","authors":"A. Jha, Bhim Singh","doi":"10.1109/CERA.2017.8343387","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343387","url":null,"abstract":"This paper deals with power factor correction (PFC) in low voltage high current (LVHC) multi-string light emitting diode (LED) using a bridgeless (BL) ZETA. This application is designed for large area LED lighting with illumination control. A multi-mode LED dimming technique is used for lighting control. The BL-ZETA PFC converter feeds power to isolated flyback DC-DC converter. The regulated low voltage from flyback converter is a source power to the synchronous buck converters for multi-string LED driver and forced cooling system for LED junction. The BL-ZETA PFC converter inductor design is based on discontinuous inductor current modes (DICM) which provide good PFC at low cost. The proposed LED driver is designed and developed with hardware test results. The critical parameter of the LED driver is tested and measured at full load with dimming control capability for universal input AC (90–265 V). The total harmonic distortion (THD) is observed lesser than the IEC 61000-3-2 Class C harmonic limits.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630884","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 : 2017-10-01DOI: 10.1109/CERA.2017.8343296
S. Sinha, A. Sinha, P. Bajpai
With the increased utilization of renewable energy (RE) in the power sector, microgrid technology is developing rapidly. In this paper an isolated DC microgrid is simulated with solar photovoltaic (PV) as the RE source to provide power to resistive DC loads along with a hybrid energy storage system (HESS) of Battery and Supercapacitor bank. Various cases of load and solar insolation variation are simulated to validate the proposed power management strategy for DC bus voltage regulation. System performance is compared with and without the SC bank and desirable reduction in transient voltage magnitude is observed when the HESS is used. A case using real insolation data from a solar PV plant at IIT Kharagpur is also simulated to analyse the system performance considering a constant load demand. It is observed that HESS helps to reduce DC bus voltage transients very effectively in all the situations. Very large transients arising due to sudden changes in load demand or PV generation is also compensated by the HESS.
{"title":"Solar PV fed standalone DC microgrid with hybrid energy storage system","authors":"S. Sinha, A. Sinha, P. Bajpai","doi":"10.1109/CERA.2017.8343296","DOIUrl":"https://doi.org/10.1109/CERA.2017.8343296","url":null,"abstract":"With the increased utilization of renewable energy (RE) in the power sector, microgrid technology is developing rapidly. In this paper an isolated DC microgrid is simulated with solar photovoltaic (PV) as the RE source to provide power to resistive DC loads along with a hybrid energy storage system (HESS) of Battery and Supercapacitor bank. Various cases of load and solar insolation variation are simulated to validate the proposed power management strategy for DC bus voltage regulation. System performance is compared with and without the SC bank and desirable reduction in transient voltage magnitude is observed when the HESS is used. A case using real insolation data from a solar PV plant at IIT Kharagpur is also simulated to analyse the system performance considering a constant load demand. It is observed that HESS helps to reduce DC bus voltage transients very effectively in all the situations. Very large transients arising due to sudden changes in load demand or PV generation is also compensated by the HESS.","PeriodicalId":286358,"journal":{"name":"2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114344312","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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