Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201675
Hongtai Guo, Tong Li, Zixuan Li, Qi Zheng
Colorimetric characterization for LCD displays reduces the distortion of the image color information during copying by the display device, enabling accurate transmission of the same image across different display devices. In this paper, we present a GA-Elman model based on the Elman neural network and optimized using genetic algorithm (GA). The color space conversion from RGB to CIEXYZ is established using the GA-Elman neural network, and finally the model accuracy is analyzed. A large number of experimental results show that the maximum chromatic aberration of the model is 2.0800, the average chromatic aberration is 0.7300, and the chromatic aberration performance is excellent, which can meet the accuracy requirements of colorimetric characterization of LCD.
{"title":"Research on Colorimetric Characterization of LCD Based on GA-Elman Neural Network","authors":"Hongtai Guo, Tong Li, Zixuan Li, Qi Zheng","doi":"10.1109/ICCSE49874.2020.9201675","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201675","url":null,"abstract":"Colorimetric characterization for LCD displays reduces the distortion of the image color information during copying by the display device, enabling accurate transmission of the same image across different display devices. In this paper, we present a GA-Elman model based on the Elman neural network and optimized using genetic algorithm (GA). The color space conversion from RGB to CIEXYZ is established using the GA-Elman neural network, and finally the model accuracy is analyzed. A large number of experimental results show that the maximum chromatic aberration of the model is 2.0800, the average chromatic aberration is 0.7300, and the chromatic aberration performance is excellent, which can meet the accuracy requirements of colorimetric characterization of LCD.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127388656","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201873
Hongyu Chen, Yanqing Peng, Qiuyu Yang, Lei Yan
Uninterruptible power system (UPS) is an important equipment for guarantee data security. The previous research on UPS fault detection has established a mathematical model of the circuit system and combine with machine learning algorithm for fault diagnosis. Because the UPS circuit structure is complex and easy influence by environment temperature humidity, the research method of establishing mathematical model is suitable for the diagnosis of some internal circuits, but not for the whole UPS machine. Based on the analysis of UPS historical data, this paper has established a method that can catch and classify the UPS fault based on the Gaussian Mixed Model (GMM) and the eXtreme Gradient boost (XGBoost). This design is divided into two parts. The first part has used GMM to calculate the logarithmic summation probability of UPS data, and analyze the relationship between UPS logarithmic sum probability and fault working condition. Then set the threshold to capture the UPS fault according to the fault data recall rate. The second part was fault recognition by XGBoost model. The extremely unbalanced fault data makes it difficult to classify, so XGBoost algorithm has been used to do the classification. combine learning curve with grid search to optimize XGBoost parameters. Experimental results show that GMM can accurately detect equipment faults.
{"title":"Fault Diagnosis of Uninterruptible Power System Based on Gaussian Mixed Model and XGBoost","authors":"Hongyu Chen, Yanqing Peng, Qiuyu Yang, Lei Yan","doi":"10.1109/ICCSE49874.2020.9201873","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201873","url":null,"abstract":"Uninterruptible power system (UPS) is an important equipment for guarantee data security. The previous research on UPS fault detection has established a mathematical model of the circuit system and combine with machine learning algorithm for fault diagnosis. Because the UPS circuit structure is complex and easy influence by environment temperature humidity, the research method of establishing mathematical model is suitable for the diagnosis of some internal circuits, but not for the whole UPS machine. Based on the analysis of UPS historical data, this paper has established a method that can catch and classify the UPS fault based on the Gaussian Mixed Model (GMM) and the eXtreme Gradient boost (XGBoost). This design is divided into two parts. The first part has used GMM to calculate the logarithmic summation probability of UPS data, and analyze the relationship between UPS logarithmic sum probability and fault working condition. Then set the threshold to capture the UPS fault according to the fault data recall rate. The second part was fault recognition by XGBoost model. The extremely unbalanced fault data makes it difficult to classify, so XGBoost algorithm has been used to do the classification. combine learning curve with grid search to optimize XGBoost parameters. Experimental results show that GMM can accurately detect equipment faults.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127024922","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201888
Yuelei Yang, H. Lang
this paper introduces Project- ased Instruction (PBI) pedagogy in Mechatronics and Computer Aided Design courses with the goals to develop students’ inter-personal skills. This study discusses the characteristics of PBI and explains the applications of the assessment tools and rubrics. The results have shown that PBI can encourage the active learning among the students and achieve continual improvements of the students’ performance.
{"title":"Project Based Instruction for Computer Aided Design and Mechatronics Courses","authors":"Yuelei Yang, H. Lang","doi":"10.1109/ICCSE49874.2020.9201888","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201888","url":null,"abstract":"this paper introduces Project- ased Instruction (PBI) pedagogy in Mechatronics and Computer Aided Design courses with the goals to develop students’ inter-personal skills. This study discusses the characteristics of PBI and explains the applications of the assessment tools and rubrics. The results have shown that PBI can encourage the active learning among the students and achieve continual improvements of the students’ performance.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474554","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201763
Liping Li, Xiaosong Wu
"Internet Plus Education" is just unfolding with the upgrading of educational philosophy and the innovation of teaching methods. The application of virtual reality and augmented reality technology in the field of education has broad prospects. This paper introduces the classification of virtual technology, puts forward the composition of teaching system and human-computer interaction system based on AR and AR technology, describes the key technologies of teaching system based on VR and AR, and points out the problems of VR and AR application in teaching.
{"title":"Application of virtual reality and augmented reality technology in Teaching1","authors":"Liping Li, Xiaosong Wu","doi":"10.1109/ICCSE49874.2020.9201763","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201763","url":null,"abstract":"\"Internet Plus Education\" is just unfolding with the upgrading of educational philosophy and the innovation of teaching methods. The application of virtual reality and augmented reality technology in the field of education has broad prospects. This paper introduces the classification of virtual technology, puts forward the composition of teaching system and human-computer interaction system based on AR and AR technology, describes the key technologies of teaching system based on VR and AR, and points out the problems of VR and AR application in teaching.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125512727","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201772
K. Umezawa, M. Nakazawa, Manabu Kobayashi, Yutaka Ishii, Michiko Nakano, S. Hirasawa
There are several difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of learning content, and the degree of learning proficiency. It is possible to detect these difficulties by measuring the browsing history, editing history, and biological information such as brain waves or eye-tracking information. In this paper, we measure electroencephalograph (EEG) information during programming learning. We focus on the relationship between task response time and EEG, and try to detect careless mistakes due to the lack of attention. The results show that careless mistakes during programming learning can be detected by experiments.
{"title":"Detection of Careless Mistakes during Programming Learning using a Simple Electroencephalograph","authors":"K. Umezawa, M. Nakazawa, Manabu Kobayashi, Yutaka Ishii, Michiko Nakano, S. Hirasawa","doi":"10.1109/ICCSE49874.2020.9201772","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201772","url":null,"abstract":"There are several difficulties encountered by learners during learning such as good or bad learning content, the difficulty level of learning content, and the degree of learning proficiency. It is possible to detect these difficulties by measuring the browsing history, editing history, and biological information such as brain waves or eye-tracking information. In this paper, we measure electroencephalograph (EEG) information during programming learning. We focus on the relationship between task response time and EEG, and try to detect careless mistakes due to the lack of attention. The results show that careless mistakes during programming learning can be detected by experiments.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131734037","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201686
Wenlu Qiu, Jing Du, Fei Li
The paper firstly analyzed the three common issues that learners encounter during online learning, namely information disorientation, cognitive overload and discontinuous flow from the perspective of learning psychology in the study. Then, to recommend accurate and essential learning resources to different learners, characteristic information of the learner model in Chinese national standards is extracted. The paper also explained how the characteristic information of learners influences the use and demand of learning resources among different learners as they encounter the aforementioned issues. Finally, the knowledge description frame adding the description of learning suggestion and learners’ characteristic information is constructed, in order that the recommendation of online learning resources can be more efficiently improved. In addition, a vision of how the frame can be applied in K12 educational database is provided.
{"title":"Knowledge Description Frame of Learning Resources for Recommendation System: From the Perspectives of Learning Psychology","authors":"Wenlu Qiu, Jing Du, Fei Li","doi":"10.1109/ICCSE49874.2020.9201686","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201686","url":null,"abstract":"The paper firstly analyzed the three common issues that learners encounter during online learning, namely information disorientation, cognitive overload and discontinuous flow from the perspective of learning psychology in the study. Then, to recommend accurate and essential learning resources to different learners, characteristic information of the learner model in Chinese national standards is extracted. The paper also explained how the characteristic information of learners influences the use and demand of learning resources among different learners as they encounter the aforementioned issues. Finally, the knowledge description frame adding the description of learning suggestion and learners’ characteristic information is constructed, in order that the recommendation of online learning resources can be more efficiently improved. In addition, a vision of how the frame can be applied in K12 educational database is provided.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134157503","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}
With the rapid development of embedded technology, the traditional experiments of embedded system curriculum meet several challenges, such as the experiment design is lack of comprehensive perspective, the experimental program is insufficient to cultivate the students' independent development ability, and the teaching contents cannot keep up with the development trend of embedded technology. To address these challenges, an experimental teaching reform to the embedded system curriculum is implemented in this paper. To enable the students to build a comprehensive perspective to the embedded system architecture, five courses related to the embedded system are integrated to construct a complete embedded architecture ranging from the underlying hardware to the upper application. To strengthen the students' independent development ability, a real-time multithreaded embedded OS is required to be developed by the students. To keep the teaching contents up with the development trend of embedded technology, some emerging technologies such as multi-core embedded architecture, LoRa, NB-IoT, etc., are proposed and used as the experimental cases. The experimental teaching reform targets to enable the students to establish a comprehensive embedded system perspective, become proficient in the embedded software and hardware skills, cultivate the cross-layer software and hardware collaborative optimization thinking, and master the way to solve some difficulties in the embedded system. The teaching reform has been implemented in the Internet-of-Things speciality for four years, and the survey results proved it had achieved the expected teaching effects effectively.
{"title":"Experimental Teaching Reform to Embedded System Curriculum","authors":"Xing Liu, Yaobang Zhao, Jingling Yuan, Wenbi Rao, Liping Lu, Fei Huang","doi":"10.1109/ICCSE49874.2020.9201757","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201757","url":null,"abstract":"With the rapid development of embedded technology, the traditional experiments of embedded system curriculum meet several challenges, such as the experiment design is lack of comprehensive perspective, the experimental program is insufficient to cultivate the students' independent development ability, and the teaching contents cannot keep up with the development trend of embedded technology. To address these challenges, an experimental teaching reform to the embedded system curriculum is implemented in this paper. To enable the students to build a comprehensive perspective to the embedded system architecture, five courses related to the embedded system are integrated to construct a complete embedded architecture ranging from the underlying hardware to the upper application. To strengthen the students' independent development ability, a real-time multithreaded embedded OS is required to be developed by the students. To keep the teaching contents up with the development trend of embedded technology, some emerging technologies such as multi-core embedded architecture, LoRa, NB-IoT, etc., are proposed and used as the experimental cases. The experimental teaching reform targets to enable the students to establish a comprehensive embedded system perspective, become proficient in the embedded software and hardware skills, cultivate the cross-layer software and hardware collaborative optimization thinking, and master the way to solve some difficulties in the embedded system. The teaching reform has been implemented in the Internet-of-Things speciality for four years, and the survey results proved it had achieved the expected teaching effects effectively.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132882316","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201708
Chunzhi Wang, Ruoxi Wang, Siwei Wei, Yong Zeng
with the increasing of the total mileage of the expressway network, it need be paid high attention to improve the efficiency of the expressway network and realize Video data on the same network. In order to further improve the coverage of video monitoring facilities, it is imperative to carry out an HD-Video monitoring system construction in the all mileage range of expressway network. This paper provides an expressway video monitoring construction scheme based on cloud platform, and realizes the video cloud networking scheme by building a three-level cloud platform.
{"title":"Design of Video Cloud Networking Scheme in expressway","authors":"Chunzhi Wang, Ruoxi Wang, Siwei Wei, Yong Zeng","doi":"10.1109/ICCSE49874.2020.9201708","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201708","url":null,"abstract":"with the increasing of the total mileage of the expressway network, it need be paid high attention to improve the efficiency of the expressway network and realize Video data on the same network. In order to further improve the coverage of video monitoring facilities, it is imperative to carry out an HD-Video monitoring system construction in the all mileage range of expressway network. This paper provides an expressway video monitoring construction scheme based on cloud platform, and realizes the video cloud networking scheme by building a three-level cloud platform.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550411","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 : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201647
Xinjun Mao, Yao Lu, Yi Yang
Software engineering is one of main major course for computer science. The main objective of this course is to improve the engineering capabilities of students to develop complex software systems. However, current course practice methods are teacher-centered and thus highly depend on the limited talents, experiences and efforts of teachers. Such methods greatly restrict students’ scopes to gain necessary skills and artifacts, and to draw on successful experiences to address various personalized engineering issues and therefore enhance abilities to tackle engineering complexity. This paper presents a crowd-based learning method and introduces our exploration to use the method to reform the software engineering course practice. The essence of our exploration is to exploit the wisdoms and artifacts of crowds over Internet to support students to accomplish their course projects. The former is the engineering knowledges shared in question and answering (Q&A) platforms such as StackOverflow, and the latter is the open source software (OSS) hosted in OSS sites such as GitHub. We use the method in two separate course practices that aim to improve students’ abilities to develop original, high-quality and large-scale software systems. The results of three-year explorations are positive and impressive and show that the crowd-based learning method is effective.
{"title":"Exploiting Crowd-based Learning Method in Software Engineering Course","authors":"Xinjun Mao, Yao Lu, Yi Yang","doi":"10.1109/ICCSE49874.2020.9201647","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201647","url":null,"abstract":"Software engineering is one of main major course for computer science. The main objective of this course is to improve the engineering capabilities of students to develop complex software systems. However, current course practice methods are teacher-centered and thus highly depend on the limited talents, experiences and efforts of teachers. Such methods greatly restrict students’ scopes to gain necessary skills and artifacts, and to draw on successful experiences to address various personalized engineering issues and therefore enhance abilities to tackle engineering complexity. This paper presents a crowd-based learning method and introduces our exploration to use the method to reform the software engineering course practice. The essence of our exploration is to exploit the wisdoms and artifacts of crowds over Internet to support students to accomplish their course projects. The former is the engineering knowledges shared in question and answering (Q&A) platforms such as StackOverflow, and the latter is the open source software (OSS) hosted in OSS sites such as GitHub. We use the method in two separate course practices that aim to improve students’ abilities to develop original, high-quality and large-scale software systems. The results of three-year explorations are positive and impressive and show that the crowd-based learning method is effective.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131020288","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}
Urban water supply pipe network leakage accident is a joint problem that exists among the water supply industries all over the world. The leakage in the pipe network not only causes waste of water resources and energy, but also brings water supply security risks to the entire pipe network. Therefore, monitoring the leakage in the water supply system is an important component of water work nowadays. This paper presents an intelligent pipeline leak detection and analysis system. The proposed system collects pipe flow data with an ultrasonic flowmeter. This system uses NB-IoT for data transmission and One-Class-SVM’s outlier detection method for leakage judgment. It also gives a rough position of leakage. Compared with the traditional leakage detection method, the proposed system has many advantages such as simple equipment, convenient operation and access without breaking the original pipe section. Besides, the proposed system provides a friendly web interface and Android App interface, allowing users to observe real-time pipe flow data. It also has an alarm so that users will know whether there has leakage.
{"title":"Intelligent Pipeline Leak Detection and Analysis System","authors":"Huiwen Lin, Hezhi Lin, X. Fang, Mingkang Wang, Lianfeng Huang","doi":"10.1109/ICCSE49874.2020.9201761","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201761","url":null,"abstract":"Urban water supply pipe network leakage accident is a joint problem that exists among the water supply industries all over the world. The leakage in the pipe network not only causes waste of water resources and energy, but also brings water supply security risks to the entire pipe network. Therefore, monitoring the leakage in the water supply system is an important component of water work nowadays. This paper presents an intelligent pipeline leak detection and analysis system. The proposed system collects pipe flow data with an ultrasonic flowmeter. This system uses NB-IoT for data transmission and One-Class-SVM’s outlier detection method for leakage judgment. It also gives a rough position of leakage. Compared with the traditional leakage detection method, the proposed system has many advantages such as simple equipment, convenient operation and access without breaking the original pipe section. Besides, the proposed system provides a friendly web interface and Android App interface, allowing users to observe real-time pipe flow data. It also has an alarm so that users will know whether there has leakage.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132114505","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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