Pub Date : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179598
Maoh-Chin Jiang, Kao-Yi Lu, Bo-Xun Chen
This paper proposes a soft-switching single-phase three-arm double-conversion voltage regulator that can solve abnormal voltage problems. The proposed voltage regulator consists of a three-arm topology operating as an ac to dc converter and a dc to ac inverter. Different from the traditional four-arm topology, the proposed three-arm topology not only reduces the number of main switches but also improves the system’s reliability. Using simple resonant circuits, all main switches of the high-frequency arm operate with zero voltage on and all auxiliary switches operate with zero current off. Some steady-state and transient simulation results are given to verify the effectiveness of the proposed voltage regulator.
{"title":"A Soft-Switching Single-Phase Three-Arm Double Conversion Voltage Regulator","authors":"Maoh-Chin Jiang, Kao-Yi Lu, Bo-Xun Chen","doi":"10.1109/ICASI57738.2023.10179598","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179598","url":null,"abstract":"This paper proposes a soft-switching single-phase three-arm double-conversion voltage regulator that can solve abnormal voltage problems. The proposed voltage regulator consists of a three-arm topology operating as an ac to dc converter and a dc to ac inverter. Different from the traditional four-arm topology, the proposed three-arm topology not only reduces the number of main switches but also improves the system’s reliability. Using simple resonant circuits, all main switches of the high-frequency arm operate with zero voltage on and all auxiliary switches operate with zero current off. Some steady-state and transient simulation results are given to verify the effectiveness of the proposed voltage regulator.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"48 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131665906","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179502
Chun-Yu Hsiao, Soe Min Htet, Guan Han Lin, T. Yang, Mu-Shin Lu
The significance of permanent magnet brushless DC motors in various industrial applications has prompted researchers to optimize their design for superior efficiency. The paper proposes an optimized PMBLDC motor for 2000 rpm and 1.414A. The designed prototype values are simulated and analyzed using JMAG Designer and Express. The study compares the performance of the Arnold-NdFeB Magnet and the Hitachi Metals-NdFeB Magnet, considering the number of poles between 2 and 4, in terms of torque, flux density, efficiency, power factor, phase voltage, and magnetomotive force. The results demonstrate that the Hitachi Metals-NdFeB magnet, which has 6 slots, 4 poles, and 2 mm, is 13% more efficient than the 2 poles of Arnold-NdFeB magnet.
{"title":"Analysis on the Effect of Number of Poles and Thickness of Permanent Magnet in PMBLDC Motor","authors":"Chun-Yu Hsiao, Soe Min Htet, Guan Han Lin, T. Yang, Mu-Shin Lu","doi":"10.1109/ICASI57738.2023.10179502","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179502","url":null,"abstract":"The significance of permanent magnet brushless DC motors in various industrial applications has prompted researchers to optimize their design for superior efficiency. The paper proposes an optimized PMBLDC motor for 2000 rpm and 1.414A. The designed prototype values are simulated and analyzed using JMAG Designer and Express. The study compares the performance of the Arnold-NdFeB Magnet and the Hitachi Metals-NdFeB Magnet, considering the number of poles between 2 and 4, in terms of torque, flux density, efficiency, power factor, phase voltage, and magnetomotive force. The results demonstrate that the Hitachi Metals-NdFeB magnet, which has 6 slots, 4 poles, and 2 mm, is 13% more efficient than the 2 poles of Arnold-NdFeB magnet.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131996271","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179588
D. Le, Li-Jeng Huang, Shyh-Haur Chen
In this study, an effective artificial neural network (ANN) using Fourier-Legendre series expansions for hidden neurons are successfully proposed, named FLSNN. The performance of the FLSNN was examined for regulation problems in machine learning applications. The results of two numerical examples of Boston price regulation problems using FLSNN are compared with classical well-known two ANNs, i.e. the backward propagation neural networks (BPANN) and radial basis function neural networks (RBFNN). It is shown that FLS offers high R-square in regression analyses.
{"title":"Fourier-Legendre series neural networks for regression","authors":"D. Le, Li-Jeng Huang, Shyh-Haur Chen","doi":"10.1109/ICASI57738.2023.10179588","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179588","url":null,"abstract":"In this study, an effective artificial neural network (ANN) using Fourier-Legendre series expansions for hidden neurons are successfully proposed, named FLSNN. The performance of the FLSNN was examined for regulation problems in machine learning applications. The results of two numerical examples of Boston price regulation problems using FLSNN are compared with classical well-known two ANNs, i.e. the backward propagation neural networks (BPANN) and radial basis function neural networks (RBFNN). It is shown that FLS offers high R-square in regression analyses.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"27 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061055","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179510
Su-Hua Yang, Chia-Ho Wang, Kai Zhan, C. Ho
This paper presents the stability and afterglow of strontium aluminates (SAO) consisting of SrAl2O4:Eu2+ and SrAl12O19:Eu2+. The maximum energy absorption and emission peaks were at 364 and 517 nm, respectively. Upon increasing the Eu2+ concentration, the decay time of SAO:Eu2+ decreased from 46.09 to 13.35 s. When the phosphor was heated to 110°C, the luminescence intensity decreased by only 10%. Furthermore, the SAO:Eu2+ exhibited high moisture resistance and long rechargeable persistent luminescence, hence, it is a promising material for digital optical data storage applications.
{"title":"High Stability and Long Afterglow of Green Strontium Aluminates Composed of SrAl2O4:Eu2+ and SrAl12O19:Eu2+ Crystals","authors":"Su-Hua Yang, Chia-Ho Wang, Kai Zhan, C. Ho","doi":"10.1109/ICASI57738.2023.10179510","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179510","url":null,"abstract":"This paper presents the stability and afterglow of strontium aluminates (SAO) consisting of SrAl<inf>2</inf>O<inf>4</inf>:Eu<sup>2+</sup> and SrAl<inf>12</inf>O<inf>19</inf>:Eu<sup>2+</sup>. The maximum energy absorption and emission peaks were at 364 and 517 nm, respectively. Upon increasing the Eu<sup>2+</sup> concentration, the decay time of SAO:Eu<sup>2+</sup> decreased from 46.09 to 13.35 s. When the phosphor was heated to 110°C, the luminescence intensity decreased by only 10%. Furthermore, the SAO:Eu<sup>2+</sup> exhibited high moisture resistance and long rechargeable persistent luminescence, hence, it is a promising material for digital optical data storage applications.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131291020","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179543
F-L Hsiao, Wei-Ling Lin, Wei-Chia Su, S. Zhou, Y. Tsai, W. Lin
In this study, we proposed the method to conceal the eye-track camera. The image of the user’s eye propagates via the waveguide combiner. The aberration caused by the waveguide was analyzed via ray-tracing method. Furthermore, we also discuss the method to compensate for the aberration and enhance the image quality.
{"title":"Analysis of Eye-tracking System Based on Diffractive Waveguide","authors":"F-L Hsiao, Wei-Ling Lin, Wei-Chia Su, S. Zhou, Y. Tsai, W. Lin","doi":"10.1109/ICASI57738.2023.10179543","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179543","url":null,"abstract":"In this study, we proposed the method to conceal the eye-track camera. The image of the user’s eye propagates via the waveguide combiner. The aberration caused by the waveguide was analyzed via ray-tracing method. Furthermore, we also discuss the method to compensate for the aberration and enhance the image quality.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115301141","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179555
Hao-Hsiang Ku, Ching-Fu Lung, Ching-Ho Chi
Sesame oil is a commonly used as a seasoning oil. The edible oil quality is usually determined by chemical indexes, including acid value, peroxide value and p-anisidine value. It is difficult for a user to test whether a sesame oil is bad. Hence, this study designs an AIOT-based Sesame Oil Evaluator, which is called ASOE, composed of ten gas sensors and a machine learning inference engine. Ten gas sensors sense ethanol, methane, hydrogen sulphide, and ammonia. Sensed data is analyzed by the Linear Discriminant Analysis (LDA). Evaluation results indicate that the correction rate of identifying one to nine week-old sesame oil by LDA is 86%. ASOE can help a user easily and quickly evaluate the quality of a sesame oil to substitute chemical indexes. It can be a reference model for developing a food flavoring oil detector in the future.
{"title":"An AIOT-based Evaluator Design for Sesame Oil","authors":"Hao-Hsiang Ku, Ching-Fu Lung, Ching-Ho Chi","doi":"10.1109/ICASI57738.2023.10179555","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179555","url":null,"abstract":"Sesame oil is a commonly used as a seasoning oil. The edible oil quality is usually determined by chemical indexes, including acid value, peroxide value and p-anisidine value. It is difficult for a user to test whether a sesame oil is bad. Hence, this study designs an AIOT-based Sesame Oil Evaluator, which is called ASOE, composed of ten gas sensors and a machine learning inference engine. Ten gas sensors sense ethanol, methane, hydrogen sulphide, and ammonia. Sensed data is analyzed by the Linear Discriminant Analysis (LDA). Evaluation results indicate that the correction rate of identifying one to nine week-old sesame oil by LDA is 86%. ASOE can help a user easily and quickly evaluate the quality of a sesame oil to substitute chemical indexes. It can be a reference model for developing a food flavoring oil detector in the future.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128915835","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179534
S. D. You, Po-Yuan Hsiao, Shengzhe Tsai
In this paper, we apply the Proximal Policy optimization (PPO) algorithm to train an agent for automated stock trading. In additional to the conventional trading indicators, we also add the strength of keywords obtained from the Google Trends for training the agent. We conduct two experiments to test the effectiveness of adding keywords. The first experiment uses general keywords, such as inflation. The second experiment uses stock-specific keywords, such as AAPL for trading apple stock. The experimental results confirm that the proposed approach can improve trading performance.
{"title":"Reinforcement Learning for Stock Price Trading with Keywords in Google Trends","authors":"S. D. You, Po-Yuan Hsiao, Shengzhe Tsai","doi":"10.1109/ICASI57738.2023.10179534","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179534","url":null,"abstract":"In this paper, we apply the Proximal Policy optimization (PPO) algorithm to train an agent for automated stock trading. In additional to the conventional trading indicators, we also add the strength of keywords obtained from the Google Trends for training the agent. We conduct two experiments to test the effectiveness of adding keywords. The first experiment uses general keywords, such as inflation. The second experiment uses stock-specific keywords, such as AAPL for trading apple stock. The experimental results confirm that the proposed approach can improve trading performance.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"31 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125288174","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179527
Chang-Wei Yeh, Chieh-Wei Huang, C. Yang, Yu-Tai Wang
With the rapid progress of high-throughput sequencing projects, biological data is growing exponentially, creating a need for efficient and scalable algorithms and high-performance computing (HPC) platforms for big biological data analysis. However, traditional HPC platforms are inadequate for meeting the demand for rapid data analysis tasks in bioinformatics research. Analyzing biological sequence data is challenging due to its complexity and long computing time. This poses challenges for researchers to gain a deep understanding of biological functions. Thus, this research presents a large-scale biological data analysis platform enabled by an HPC infrastructure for genomic sequencing data and protein structure analysis. This study lists the characteristics of big biological data and traditional computing platforms, provides a reconfigurable HPC platform for biological data analysis applications. A practical case of HPC platforms for big biological data analytics in Taiwan is also presented. By using a reconfigurable HPC platform, the computational bottleneck can be removed, and data analysis can be accelerated. The platform enables researchers to gain profound insights into the deepest biological functions by addressing the challenges of big biological data analysis.
{"title":"A High Performance Computing Platform for Big Biological Data Analysis","authors":"Chang-Wei Yeh, Chieh-Wei Huang, C. Yang, Yu-Tai Wang","doi":"10.1109/ICASI57738.2023.10179527","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179527","url":null,"abstract":"With the rapid progress of high-throughput sequencing projects, biological data is growing exponentially, creating a need for efficient and scalable algorithms and high-performance computing (HPC) platforms for big biological data analysis. However, traditional HPC platforms are inadequate for meeting the demand for rapid data analysis tasks in bioinformatics research. Analyzing biological sequence data is challenging due to its complexity and long computing time. This poses challenges for researchers to gain a deep understanding of biological functions. Thus, this research presents a large-scale biological data analysis platform enabled by an HPC infrastructure for genomic sequencing data and protein structure analysis. This study lists the characteristics of big biological data and traditional computing platforms, provides a reconfigurable HPC platform for biological data analysis applications. A practical case of HPC platforms for big biological data analytics in Taiwan is also presented. By using a reconfigurable HPC platform, the computational bottleneck can be removed, and data analysis can be accelerated. The platform enables researchers to gain profound insights into the deepest biological functions by addressing the challenges of big biological data analysis.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124644714","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179498
Jyun Lin, Kuo-Yuan Lo
The purpose of this paper is to develop a high-power-density flyback converter with quasi-resonant (QR) topology. QR topology has the valley-switching characteristics can improve the conversion efficiency with higher switching frequency. Therefore, the volume of magnetic components can be reduced. In this paper, a dynamic valley-switching control strategy is proposed to improve the switching loss for different load conditions. In addition, the synchronous rectification technology is used to reduce the secondary side conduction loss and switching loss. Finally, a 100-W QR flyback prototype is developed and built to verify the proposed control strategy and theoretical analysis. The specifications include input voltage range of 12 V to 36 V and output voltage of 24 V. As demonstrated in the prototype’s experimental results, the peak value of the conversion efficiency is 94.3%, and the power density is about 144 W/in3
本文的目的是开发一种具有准谐振(QR)拓扑结构的高功率密度反激变换器。QR拓扑具有谷开关特性，可以在更高的开关频率下提高转换效率。因此，磁性元件的体积可以减少。本文提出了一种动态山谷切换控制策略，以改善不同负载条件下的切换损耗。此外，采用同步整流技术降低了二次侧导通损耗和开关损耗。最后，开发并构建了一个100 w QR反激样机，以验证所提出的控制策略和理论分析。规格包括输入电压范围12v ~ 36v，输出电压范围24v。样机的实验结果表明，转换效率峰值为94.3%，功率密度约为144 W/in3
{"title":"Development of a High-Power-Density Quasi-Resonant Flyback Power Converter","authors":"Jyun Lin, Kuo-Yuan Lo","doi":"10.1109/ICASI57738.2023.10179498","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179498","url":null,"abstract":"The purpose of this paper is to develop a high-power-density flyback converter with quasi-resonant (QR) topology. QR topology has the valley-switching characteristics can improve the conversion efficiency with higher switching frequency. Therefore, the volume of magnetic components can be reduced. In this paper, a dynamic valley-switching control strategy is proposed to improve the switching loss for different load conditions. In addition, the synchronous rectification technology is used to reduce the secondary side conduction loss and switching loss. Finally, a 100-W QR flyback prototype is developed and built to verify the proposed control strategy and theoretical analysis. The specifications include input voltage range of 12 V to 36 V and output voltage of 24 V. As demonstrated in the prototype’s experimental results, the peak value of the conversion efficiency is 94.3%, and the power density is about 144 W/in3","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"51 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120980162","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 : 2023-04-21DOI: 10.1109/ICASI57738.2023.10179580
C. Hua, Zhe-Wei Zhang, Y. Hsieh
Both electric vehicles and energy storage systems need to use a large number of batteries, and the current research on batteries is quite diverse. This study presents a modular high-frequency multi-winding battery cell equalizer for a large number of batteries. In order to increase the power density of the circuit and reduce the size, the switching frequency is increased by using parasitic elements to participate in resonance. Increasing the switching frequency to lMHz, and adding a resonant network to achieve soft switching and reduce switch stress for the converter. The proposed multi-winding design allows battery equalization from any cell to any cell, and the modular architecture can improve the flexibility of the converter. This research uses POWER SIM circuit simulation software to investigate the feasibility of the proposed battery equalizer.
{"title":"Modular high-frequency multi-winding battery equalizer for a large number of batteries","authors":"C. Hua, Zhe-Wei Zhang, Y. Hsieh","doi":"10.1109/ICASI57738.2023.10179580","DOIUrl":"https://doi.org/10.1109/ICASI57738.2023.10179580","url":null,"abstract":"Both electric vehicles and energy storage systems need to use a large number of batteries, and the current research on batteries is quite diverse. This study presents a modular high-frequency multi-winding battery cell equalizer for a large number of batteries. In order to increase the power density of the circuit and reduce the size, the switching frequency is increased by using parasitic elements to participate in resonance. Increasing the switching frequency to lMHz, and adding a resonant network to achieve soft switching and reduce switch stress for the converter. The proposed multi-winding design allows battery equalization from any cell to any cell, and the modular architecture can improve the flexibility of the converter. This research uses POWER SIM circuit simulation software to investigate the feasibility of the proposed battery equalizer.","PeriodicalId":281254,"journal":{"name":"2023 9th International Conference on Applied System Innovation (ICASI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126496541","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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