Pub Date : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944946
Pana Chupun, B. Suechoey, Somsak Siriporananon
This research paper presents a performance analysis of electric motors using vibration measurement with an emphasis on the vibration measurement caused by bearing faults, loose ball bearing races, and rotor imbalance. Fault analysis occurring in the electric motor was made following the ISO 10816-3 Standard. The results obtained from the analysis will be used as references and guidelines for predictions of faults in the electric motors more easily and quickly, as well as repair and maintenance planning of the electric motors.
{"title":"Performance Analysis of Electric Motors Using Vibration Measurement","authors":"Pana Chupun, B. Suechoey, Somsak Siriporananon","doi":"10.1109/ICPEI47862.2019.8944946","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944946","url":null,"abstract":"This research paper presents a performance analysis of electric motors using vibration measurement with an emphasis on the vibration measurement caused by bearing faults, loose ball bearing races, and rotor imbalance. Fault analysis occurring in the electric motor was made following the ISO 10816-3 Standard. The results obtained from the analysis will be used as references and guidelines for predictions of faults in the electric motors more easily and quickly, as well as repair and maintenance planning of the electric motors.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118769","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944967
Supawud Nedphokaew, Salakchit Pukjaroon, M. Boonthienthong
This research studies and demonstrates the comparison of partial discharges (PD) in the XLPE underground high voltage cable between cables that are used with the new cables and used as results of the electric field analysis in the underground high voltage cables. The simulation of the underground cable has been applied using the compact software of Comsol Multiphysics.5.3 The underground high voltage cables for 24 kV rated voltage is prepared for analysis between simulation and PD measurement test in both the used cable and the new cable. The study is found that some discharges in the XLPE underground high voltage cables occur in the new cable which can be analyzed electric fields within the insulation cable by using Comsol Multiphysics 5.3 program. It is assumed that some discharging might be the internal charging type in somewhere of the dielectric cable. This point might lead to a significantly higher discharge rate than the XLPE cable of the new cable. Therefore, the used underground cable should be tested for information leading to the recovery of the power system.
{"title":"Analysis of Electric Field Values in 24 kV High Voltage Power Cable with Program for Finding Partial Discharge Values","authors":"Supawud Nedphokaew, Salakchit Pukjaroon, M. Boonthienthong","doi":"10.1109/ICPEI47862.2019.8944967","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944967","url":null,"abstract":"This research studies and demonstrates the comparison of partial discharges (PD) in the XLPE underground high voltage cable between cables that are used with the new cables and used as results of the electric field analysis in the underground high voltage cables. The simulation of the underground cable has been applied using the compact software of Comsol Multiphysics.5.3 The underground high voltage cables for 24 kV rated voltage is prepared for analysis between simulation and PD measurement test in both the used cable and the new cable. The study is found that some discharges in the XLPE underground high voltage cables occur in the new cable which can be analyzed electric fields within the insulation cable by using Comsol Multiphysics 5.3 program. It is assumed that some discharging might be the internal charging type in somewhere of the dielectric cable. This point might lead to a significantly higher discharge rate than the XLPE cable of the new cable. Therefore, the used underground cable should be tested for information leading to the recovery of the power system.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125765683","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 : 2019-10-01DOI: 10.1109/icpei47862.2019.8944970
{"title":"ICPEI 2019 Table of Contents","authors":"","doi":"10.1109/icpei47862.2019.8944970","DOIUrl":"https://doi.org/10.1109/icpei47862.2019.8944970","url":null,"abstract":"","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133006851","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944934
C. Boonseng, N. Nilnimitr, K. Kularbphettong
This project presents an alternative way in designing 5th, 7th and 11th harmonic filters by creating a neural network program that can calculate harmonics which are generated in the system by ac or dc drives and it can verify the result using the simulation in verification program. Our program can choose the right harmonic filter and help designing harmonic filter faster, easier and more accurate by concerning the cause of other factors that exclude the formulas such as limitation of the devices in a suitable cost. It will be more and more accurate every time the users use this program. Our program will train itself after inputting new data. The more we use the program, the more accurate it will be. We created the program with easy understandable user interface to facilitate any harmonic filter designers with low experiences to have an ability as an expert harmonic filter designer because our program has a memory of an experienced designer and ability to train itself. Furthermore, our program will help supporting the development in harmonic filter designing for any kinds of future research.
{"title":"An Investigation on the Selection of Filter Topologies for Passive Filter Applications by Neural Network","authors":"C. Boonseng, N. Nilnimitr, K. Kularbphettong","doi":"10.1109/ICPEI47862.2019.8944934","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944934","url":null,"abstract":"This project presents an alternative way in designing 5th, 7th and 11th harmonic filters by creating a neural network program that can calculate harmonics which are generated in the system by ac or dc drives and it can verify the result using the simulation in verification program. Our program can choose the right harmonic filter and help designing harmonic filter faster, easier and more accurate by concerning the cause of other factors that exclude the formulas such as limitation of the devices in a suitable cost. It will be more and more accurate every time the users use this program. Our program will train itself after inputting new data. The more we use the program, the more accurate it will be. We created the program with easy understandable user interface to facilitate any harmonic filter designers with low experiences to have an ability as an expert harmonic filter designer because our program has a memory of an experienced designer and ability to train itself. Furthermore, our program will help supporting the development in harmonic filter designing for any kinds of future research.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127531653","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944986
Supachai Puengsungwan, K. Jirasereeamornkul
Every 1,000 kilograms of temperate lettuce produced by commercial hydroponic farming consumes 21.2 kW-Hr per crop approximately. The solar panel technologies have been considered as an alternative way to serve as a sustainable energy. However, a big problem of solar panel usage is their costliness. To get the most benefit of the solar panels, an IoT based transpiration leaf sensor has been presented as a main part for the solar panel based hydroponic system. Unlike the external factor based sensors such humidity sensors, temperature sensors, light intensity sensor, the internal factors based sensor like transpiration leaf sensor can detect and monitor the internal change of lettuce plant in real-time. According to the direct calculation, 30 set of solar panels with batteries (300 Watts and 100 A-Hr per set) would be used as the sustainable power supply for 800 square meters of a hydroponic farm. Absolutely, the cost of such the solar panels is 250% of hydroponic system cost. On the other side, the proposed IoT based technique can determine the suitable duty cycle in real-time. At the same area, the only 10 set of solar panels with batteries would be used when the proposed IoT based hydroponic system is considered.
商业化水培农业生产的每1000公斤温带生菜消耗约21.2千瓦时。太阳能电池板技术被认为是一种可持续能源的替代方式。然而，使用太阳能电池板的一个大问题是价格昂贵。为了最大限度地利用太阳能电池板，提出了一种基于物联网的蒸腾叶片传感器，作为太阳能电池板水培系统的主要组成部分。与基于外部因素的传感器如湿度传感器、温度传感器、光强传感器不同，基于内部因素的传感器如蒸腾叶片传感器可以实时检测和监测生菜植株的内部变化。根据直接计算，将使用30组带电池的太阳能电池板(每组300瓦和100 a - hr)作为800平方米水培农场的可持续电力供应。当然，这种太阳能电池板的成本是水培系统成本的250%。另一方面，所提出的基于物联网的技术可以实时确定合适的占空比。在同一区域，当考虑拟议的基于物联网的水培系统时，仅有的10组带有电池的太阳能电池板将被使用。
{"title":"Internet of Things (IoTs) based hydroponic lettuce farming with solar panels","authors":"Supachai Puengsungwan, K. Jirasereeamornkul","doi":"10.1109/ICPEI47862.2019.8944986","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944986","url":null,"abstract":"Every 1,000 kilograms of temperate lettuce produced by commercial hydroponic farming consumes 21.2 kW-Hr per crop approximately. The solar panel technologies have been considered as an alternative way to serve as a sustainable energy. However, a big problem of solar panel usage is their costliness. To get the most benefit of the solar panels, an IoT based transpiration leaf sensor has been presented as a main part for the solar panel based hydroponic system. Unlike the external factor based sensors such humidity sensors, temperature sensors, light intensity sensor, the internal factors based sensor like transpiration leaf sensor can detect and monitor the internal change of lettuce plant in real-time. According to the direct calculation, 30 set of solar panels with batteries (300 Watts and 100 A-Hr per set) would be used as the sustainable power supply for 800 square meters of a hydroponic farm. Absolutely, the cost of such the solar panels is 250% of hydroponic system cost. On the other side, the proposed IoT based technique can determine the suitable duty cycle in real-time. At the same area, the only 10 set of solar panels with batteries would be used when the proposed IoT based hydroponic system is considered.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953346","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944963
Udomsak Keawmorakote, Yuraporn Padunggun, P. Noiying, Poolsak Koseeyaporn
This article presents the design and development of artificial intelligence demonstration program in the form of artificial neural network demonstration for recognition of handwritten Number. This program has been used in the training of learning artificial intelligence for industrial uses. It is designed and developed by using LabVIEW program. The participants were five experts and twenty students. From the experiment, it was found that: 1) The program composed of image reading, basic data management, structure determination, and learning result analysis. In terms of the efficiency test, discriminative efficiency should not be less than 81 percent. 2) The level of appropriate assessment by experts was high. The level of learners’ satisfaction was high. Considering the research results, it can be seen that instructional media development
{"title":"Development of Artificial Neural Network Demonstration for Recognition of Handwritten Number for Training","authors":"Udomsak Keawmorakote, Yuraporn Padunggun, P. Noiying, Poolsak Koseeyaporn","doi":"10.1109/ICPEI47862.2019.8944963","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944963","url":null,"abstract":"This article presents the design and development of artificial intelligence demonstration program in the form of artificial neural network demonstration for recognition of handwritten Number. This program has been used in the training of learning artificial intelligence for industrial uses. It is designed and developed by using LabVIEW program. The participants were five experts and twenty students. From the experiment, it was found that: 1) The program composed of image reading, basic data management, structure determination, and learning result analysis. In terms of the efficiency test, discriminative efficiency should not be less than 81 percent. 2) The level of appropriate assessment by experts was high. The level of learners’ satisfaction was high. Considering the research results, it can be seen that instructional media development","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128938364","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8945015
Natin Janjamraj, S. Hiranvarodom, V. Pirajnanchai
This paper presents the optimized Harmonic of Modular Multilevel Converter (MMC) using Particle Swarm optimization (PSO) to apply in the aircraft electrical power systems. The modeling and control of MMC are applied in terms of the vector current control for MMC converter and optimized harmonic modulation technique. The simulation results shown that the performance of the control systems is into steady state it was suitable for applied for aircraft inverter application, because the control and telecommunication in the aircraft are more sensitive and important in EMI problems. The advantage of the proposed inverter, it generated the output voltage waveform nearly sinusoidal without high frequencies like PWM inverters. Due to the fact that it has low electromagnetic interference and it has no need the filter.
{"title":"Opimized Harmonic of 27-Level Inverter for Aircraft Application Using Particle Swarm Optimization","authors":"Natin Janjamraj, S. Hiranvarodom, V. Pirajnanchai","doi":"10.1109/ICPEI47862.2019.8945015","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8945015","url":null,"abstract":"This paper presents the optimized Harmonic of Modular Multilevel Converter (MMC) using Particle Swarm optimization (PSO) to apply in the aircraft electrical power systems. The modeling and control of MMC are applied in terms of the vector current control for MMC converter and optimized harmonic modulation technique. The simulation results shown that the performance of the control systems is into steady state it was suitable for applied for aircraft inverter application, because the control and telecommunication in the aircraft are more sensitive and important in EMI problems. The advantage of the proposed inverter, it generated the output voltage waveform nearly sinusoidal without high frequencies like PWM inverters. Due to the fact that it has low electromagnetic interference and it has no need the filter.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131937478","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944947
Rujaporn Sumon, T. Suwanasri, C. Suwanasri
This paper presents an effect to power system when high penetration of photovoltaic (PV) power plants are increased in a conventional power system. Firstly, the behaviors of the PV array model are studied before PV power plants are connected to the conventional system represented by the IEEE 39 Bus system. A control system consisting of maximum power point tracking (MPPT) controller, voltage source controller (VSC), DC-DC boost converter and AC-DC inverter is modeled to operate along with other equipment in the system. The simulations are subsequently carried out to observe the effect of different disturbance conditions, i.e. three phase fault as well as tripping of load and generator in the system. The results of PV integration to the system coordinated with different disturbance conditions expose that a greater number of PV in the power system leads to higher power system instability and unreliability.
{"title":"Modelling of photovoltaic power plants and loads for dynamic simulations in power system","authors":"Rujaporn Sumon, T. Suwanasri, C. Suwanasri","doi":"10.1109/ICPEI47862.2019.8944947","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944947","url":null,"abstract":"This paper presents an effect to power system when high penetration of photovoltaic (PV) power plants are increased in a conventional power system. Firstly, the behaviors of the PV array model are studied before PV power plants are connected to the conventional system represented by the IEEE 39 Bus system. A control system consisting of maximum power point tracking (MPPT) controller, voltage source controller (VSC), DC-DC boost converter and AC-DC inverter is modeled to operate along with other equipment in the system. The simulations are subsequently carried out to observe the effect of different disturbance conditions, i.e. three phase fault as well as tripping of load and generator in the system. The results of PV integration to the system coordinated with different disturbance conditions expose that a greater number of PV in the power system leads to higher power system instability and unreliability.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128792348","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}
This article aims to develop and determine the efficiency of the training course on machine learning for industrial education. The developed training course consists of a trainer’s manual, a PowerPoint presentation, a simulation program using LabVIEW Program, achievement tests, and questionnaires for evaluation. The developed training course is implemented and evaluated with a sampling group of 15 selected trainees. The research results can be stated as follows; 1) the quality evaluation assessed by 5 experts obtains the average score of 4.23 (appropriate); 2) the developed training course is efficient in accordance with the Meguigans’ theory standard (equaled to 1.77). The trainees’ satisfaction towards the developed training package obtains the average score of 4.10 (satisfied). That leads to the conclusion that the developed training package is efficient according to Meguigans’ theory standard.
{"title":"Development and Efficiency Validation of Training Course on Machine Learning for Industrial Education","authors":"Udomsak Kaewmorakot, Phadungrat Prongpimai, Kanokwan Ruangsiri","doi":"10.1109/ICPEI47862.2019.8945000","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8945000","url":null,"abstract":"This article aims to develop and determine the efficiency of the training course on machine learning for industrial education. The developed training course consists of a trainer’s manual, a PowerPoint presentation, a simulation program using LabVIEW Program, achievement tests, and questionnaires for evaluation. The developed training course is implemented and evaluated with a sampling group of 15 selected trainees. The research results can be stated as follows; 1) the quality evaluation assessed by 5 experts obtains the average score of 4.23 (appropriate); 2) the developed training course is efficient in accordance with the Meguigans’ theory standard (equaled to 1.77). The trainees’ satisfaction towards the developed training package obtains the average score of 4.10 (satisfied). That leads to the conclusion that the developed training package is efficient according to Meguigans’ theory standard.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193444","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 : 2019-10-01DOI: 10.1109/ICPEI47862.2019.8944937
Rungnapa Kongsuk, T. Boonpramote
The ethanol manufacturing plant located in Phanomsarakham district, Chachoengsao province east of Thailand. The plant requires to improve the process by replacing a new boiler with capacity for generating 30 tons per hour of saturated steam. The boiler selection process is determining the steam required for the process, then determine the fuels available and their usability after that compare different types of boiler and finish the process with boiler purchasing. There are four available fuels in the area where the case study plant located are bituminous coal, wood, fuel oil C, and LPG. Consider by compared the heating value, fuel required to consume by the boiler and reference of each. The most possibility of fuel for the case study plant is bituminous coal.
{"title":"Comparative Study of Available Fuels for Boiler Selection","authors":"Rungnapa Kongsuk, T. Boonpramote","doi":"10.1109/ICPEI47862.2019.8944937","DOIUrl":"https://doi.org/10.1109/ICPEI47862.2019.8944937","url":null,"abstract":"The ethanol manufacturing plant located in Phanomsarakham district, Chachoengsao province east of Thailand. The plant requires to improve the process by replacing a new boiler with capacity for generating 30 tons per hour of saturated steam. The boiler selection process is determining the steam required for the process, then determine the fuels available and their usability after that compare different types of boiler and finish the process with boiler purchasing. There are four available fuels in the area where the case study plant located are bituminous coal, wood, fuel oil C, and LPG. Consider by compared the heating value, fuel required to consume by the boiler and reference of each. The most possibility of fuel for the case study plant is bituminous coal.","PeriodicalId":128066,"journal":{"name":"2019 International Conference on Power, Energy and Innovations (ICPEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115163305","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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