Pub Date : 2017-05-01DOI: 10.1109/CCDC.2017.7979415
Tian Yanan
The conventional blind guidance systems have some problems such as massive mapping data, low mapping efficiency and simple sound coding. These make the blind difficult to use the system. To solve these problems, a system is presented based on ICA edge detection and MIDI music display. In this system image edges that accord with visual characteristics are mapped into MIDI music by ICA edge basis functions' reconstruction. Experimental results showed that the system has higher recognition rates for the blind's recognizing the image contents.
{"title":"A blind guidance system based on ICA edge detection and MIDI music display","authors":"Tian Yanan","doi":"10.1109/CCDC.2017.7979415","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979415","url":null,"abstract":"The conventional blind guidance systems have some problems such as massive mapping data, low mapping efficiency and simple sound coding. These make the blind difficult to use the system. To solve these problems, a system is presented based on ICA edge detection and MIDI music display. In this system image edges that accord with visual characteristics are mapped into MIDI music by ICA edge basis functions' reconstruction. Experimental results showed that the system has higher recognition rates for the blind's recognizing the image contents.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"55 1","pages":"5180-5183"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75777981","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978281
Lijuan Wu, Jianjun Wu, Liu Li
Because of the good local modification of the B spline curve, it is widely used to reconstruct the B-spline surface in reverse engineering. A algorithm of reconstructing quasi-uniform B-spline surface is designed based on optimization quadrilateral meshes of the cloud data model by reverse control points in the paper, and the definite basic concepts, solve the data points selection, nodes parameterization, chasing method solve the control points equation, etc. In VS++2008 environment, the algorithm was programmed and debugged with C++ language, and the running results are given. The implementation of the algorithm showed its feasibility and reliability, as well as the advantages of high speed and high accuracy.
{"title":"The realization of B-spline surface reconstruction algorithm based on reverse control points","authors":"Lijuan Wu, Jianjun Wu, Liu Li","doi":"10.1109/CCDC.2017.7978281","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978281","url":null,"abstract":"Because of the good local modification of the B spline curve, it is widely used to reconstruct the B-spline surface in reverse engineering. A algorithm of reconstructing quasi-uniform B-spline surface is designed based on optimization quadrilateral meshes of the cloud data model by reverse control points in the paper, and the definite basic concepts, solve the data points selection, nodes parameterization, chasing method solve the control points equation, etc. In VS++2008 environment, the algorithm was programmed and debugged with C++ language, and the running results are given. The implementation of the algorithm showed its feasibility and reliability, as well as the advantages of high speed and high accuracy.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"15 1","pages":"6173-6177"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75822544","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978088
Min Yanling, Xiong Zhi, Xing Li, Liu Jianye, Yin Dequan
In consideration of the high dimension problem in the existing SINS/CNS integrated navigation system based on dual quaternions, the observable degree analysis method of system states based on singular value decomposition is introduced. According to the analysis result, the state components with good observability are estimated and the bad ones are removed, thus the computation time of Kalman filter is significantly decreased and the real-time performance of SINS/CNS is improved. To ensure that inertial navigation can also maintain high accuracy over a period of time when celestial auxiliary information is lost, an improved method of SINS/CNS integrated navigation algorithm based on dual quaternions with gyro error corrected online is proposed. The Kalman filter estimates constant gyro drift with the aid of celestial information and utilizes the calibration value to compensate gyro output online. The simulation results demonstrate that the proposed method can realize the effective estimation of constant gyro drift. In addition, the accuracy of inertial navigation is improved effectively.
{"title":"An improved method of SINS/CNS integrated navigation algorithm based on dual quaternions with gyro error corrected online","authors":"Min Yanling, Xiong Zhi, Xing Li, Liu Jianye, Yin Dequan","doi":"10.1109/CCDC.2017.7978088","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978088","url":null,"abstract":"In consideration of the high dimension problem in the existing SINS/CNS integrated navigation system based on dual quaternions, the observable degree analysis method of system states based on singular value decomposition is introduced. According to the analysis result, the state components with good observability are estimated and the bad ones are removed, thus the computation time of Kalman filter is significantly decreased and the real-time performance of SINS/CNS is improved. To ensure that inertial navigation can also maintain high accuracy over a period of time when celestial auxiliary information is lost, an improved method of SINS/CNS integrated navigation algorithm based on dual quaternions with gyro error corrected online is proposed. The Kalman filter estimates constant gyro drift with the aid of celestial information and utilizes the calibration value to compensate gyro output online. The simulation results demonstrate that the proposed method can realize the effective estimation of constant gyro drift. In addition, the accuracy of inertial navigation is improved effectively.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"95 1","pages":"179-184"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75877882","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978581
Meiqi Dong, Xian Mei, Xin Qi, Liyuan Hou, Jinqiu Li
The research on computer game with complete information theory has been mature. The computer has established a more obvious advantage in the competition with human in game projects such as Chess and Go. Computer game with incomplete information mainly refers to the name of the other party or the position of the pieces is not clear, or the number of points in the other hand is unknown, which makes the computer more difficult to make the right decision. The research has just started. Many areas are still in the exploratory stage. This paper describes the development of computer game technology with complete information. It compares the main differences and difficulties between the computer game with incomplete information and the computer game with complete information. It mainly gives the main factors which influence the advantages of the game of Phantom Go, Military Chess and Dou Dizhu. It gives the basic method of adding advantages from information.
{"title":"Research on the advantages and equilibrium of computer game with incomplete information","authors":"Meiqi Dong, Xian Mei, Xin Qi, Liyuan Hou, Jinqiu Li","doi":"10.1109/CCDC.2017.7978581","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978581","url":null,"abstract":"The research on computer game with complete information theory has been mature. The computer has established a more obvious advantage in the competition with human in game projects such as Chess and Go. Computer game with incomplete information mainly refers to the name of the other party or the position of the pieces is not clear, or the number of points in the other hand is unknown, which makes the computer more difficult to make the right decision. The research has just started. Many areas are still in the exploratory stage. This paper describes the development of computer game technology with complete information. It compares the main differences and difficulties between the computer game with incomplete information and the computer game with complete information. It mainly gives the main factors which influence the advantages of the game of Phantom Go, Military Chess and Dou Dizhu. It gives the basic method of adding advantages from information.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"20 1","pages":"7675-7678"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72758903","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7979037
Li Wen, Yi Ke, Yantao
For missiles with passive seeker, they are usually little observable because only the line of sight (LOS) information is obtained without distance information. It's difficult to take both aspects that the observability of filtering model and hit accuracy of the maneuvering target, into account at the same time. For this problem, the motion tracking sliding mode guidance law is adopted in this paper, and the specified form of LOS rate and the method to determine value of its parameters are given. Firstly, the relative motion model and the conclusion that it is necessary to reduce the LOS rate to improve the accuracy of the guidance, are given. Then, features of standard PNG (Proportional Navigation Guidance), MAPNG (Modified Augmented Proportional Navigation Guidance) and MTSMG (Motion Tracking Sliding Mode Guidance) are analyzed. With regard to MTSMG, a LOS rate curve form is designed, which can both improve the observability and hit accuracy. Finally, the relationship between the upper limit of LOS rate and the relative distance is deduced, and the method to select parameters is given in order to determine the final value of the expected LOS rate. Simulation results show that, compared with the standard PNG and MAPNG method, the hit accuracy of improve method in is paper is higher and the filtering performance is good.
{"title":"Practical guidance considering filtering performance for attacking maneuvering targets","authors":"Li Wen, Yi Ke, Yantao","doi":"10.1109/CCDC.2017.7979037","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7979037","url":null,"abstract":"For missiles with passive seeker, they are usually little observable because only the line of sight (LOS) information is obtained without distance information. It's difficult to take both aspects that the observability of filtering model and hit accuracy of the maneuvering target, into account at the same time. For this problem, the motion tracking sliding mode guidance law is adopted in this paper, and the specified form of LOS rate and the method to determine value of its parameters are given. Firstly, the relative motion model and the conclusion that it is necessary to reduce the LOS rate to improve the accuracy of the guidance, are given. Then, features of standard PNG (Proportional Navigation Guidance), MAPNG (Modified Augmented Proportional Navigation Guidance) and MTSMG (Motion Tracking Sliding Mode Guidance) are analyzed. With regard to MTSMG, a LOS rate curve form is designed, which can both improve the observability and hit accuracy. Finally, the relationship between the upper limit of LOS rate and the relative distance is deduced, and the method to select parameters is given in order to determine the final value of the expected LOS rate. Simulation results show that, compared with the standard PNG and MAPNG method, the hit accuracy of improve method in is paper is higher and the filtering performance is good.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"24 1","pages":"3081-3086"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73197659","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978341
Hongcheng Xiang, Xiaodong Wang, Guoyong Huang
Misjudgments and missed judgment widely occur during the fault detections of rolling bearing due to the fact that single-channel vibration signal information is often collected incomprehensively. In order to recognize bearing faults as possible, a method is proposed that features the combination of Ensemble Empirical Mode Decomposition (EEMD) and full-vector envelope spectrum through the following steps. Firstly, the two homologous double-channel fault signals of bearings undergo EEMD decomposition individually. Then intrinsic mode functions (IMF) with the maximum and secondary kurtosis values at all directions are selected as the reconstructed signals. Finally the reconstructed signals are subjected to full-vector envelope fusion by the use of full-vector envelope spectrum so that the fault feature frequency of bearings can be extracted. By the use of the present method, the real vibration state of rolling bearing were reflected objectively, and the fault feature frequencies of rolling bearing were extracted effectively for the purpose of recognizing fault types, as the experiment results showed.
{"title":"Approach to fault feature extractions of rolling bearing via EEMD and full-vector envelope spectrum","authors":"Hongcheng Xiang, Xiaodong Wang, Guoyong Huang","doi":"10.1109/CCDC.2017.7978341","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978341","url":null,"abstract":"Misjudgments and missed judgment widely occur during the fault detections of rolling bearing due to the fact that single-channel vibration signal information is often collected incomprehensively. In order to recognize bearing faults as possible, a method is proposed that features the combination of Ensemble Empirical Mode Decomposition (EEMD) and full-vector envelope spectrum through the following steps. Firstly, the two homologous double-channel fault signals of bearings undergo EEMD decomposition individually. Then intrinsic mode functions (IMF) with the maximum and secondary kurtosis values at all directions are selected as the reconstructed signals. Finally the reconstructed signals are subjected to full-vector envelope fusion by the use of full-vector envelope spectrum so that the fault feature frequency of bearings can be extracted. By the use of the present method, the real vibration state of rolling bearing were reflected objectively, and the fault feature frequencies of rolling bearing were extracted effectively for the purpose of recognizing fault types, as the experiment results showed.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"348 1","pages":"6492-6497"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75385305","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978704
Feng Bingqing, Hu Shaolin, Li Chuan, Miao Yangfan
Based on the high fault rate of the attitude control system in the process of spacecraft running, this paper analyzes the variation tendency, characteristics and regularities of different types of data generated by the attitude control system. In this paper, we construct the principal component analysis (PCA) model to express the correlations among the variables using the data collected with normal operation. Then we propose the algorithm of PCA-based anomaly detection of the attitude control system and judge the state of the system by monitoring multi-variable statistics which can implement the performance monitoring of the orbiting spacecraft. The experimental results indicate the feasibility and validity of the method to detect the abnormality of the spacecraft attitude control system based on multi-variable statistics of the PCA model.
{"title":"Anomaly detection of spacecraft attitude control system based on principal component analysis","authors":"Feng Bingqing, Hu Shaolin, Li Chuan, Miao Yangfan","doi":"10.1109/CCDC.2017.7978704","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978704","url":null,"abstract":"Based on the high fault rate of the attitude control system in the process of spacecraft running, this paper analyzes the variation tendency, characteristics and regularities of different types of data generated by the attitude control system. In this paper, we construct the principal component analysis (PCA) model to express the correlations among the variables using the data collected with normal operation. Then we propose the algorithm of PCA-based anomaly detection of the attitude control system and judge the state of the system by monitoring multi-variable statistics which can implement the performance monitoring of the orbiting spacecraft. The experimental results indicate the feasibility and validity of the method to detect the abnormality of the spacecraft attitude control system based on multi-variable statistics of the PCA model.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"12 1","pages":"1220-1225"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75460764","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978817
Jin Wei, Lei Ma, Zhong-qiu Zhang
With the enrichment of human social life, tourism is becoming more and more popular. The development of cloud computing, big data, internet of things technology makes smart tourism gradually evolve from the concept to a technology which can thoroughly change people's lives. Through smart tourism, a large number of rich and comprehensive real-time data can be available, including source of tourists, travel information, travel routes and other data which can achieve real-time monitoring of the scenic spots and precision marketing to customers, thus promote the development of tourism services and improve tourism. This paper will take smart tourism as the research object, and introduces large quantities of real-time data analysis and processing technology in smart tourism, and real-time processing data modeling methods. On this basis, scenic passenger flow monitoring model, scenic tourist analysis model and scenic passenger flow warning model will be established respectively. The technology presented in this paper has the characteristics of high real-time, high reliability, high accuracy of data processing, and has strong applicability, which be extended to other large data real-time processing scenarios.
{"title":"A research on smart tourism-oriented big data real-time processing technology","authors":"Jin Wei, Lei Ma, Zhong-qiu Zhang","doi":"10.1109/CCDC.2017.7978817","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978817","url":null,"abstract":"With the enrichment of human social life, tourism is becoming more and more popular. The development of cloud computing, big data, internet of things technology makes smart tourism gradually evolve from the concept to a technology which can thoroughly change people's lives. Through smart tourism, a large number of rich and comprehensive real-time data can be available, including source of tourists, travel information, travel routes and other data which can achieve real-time monitoring of the scenic spots and precision marketing to customers, thus promote the development of tourism services and improve tourism. This paper will take smart tourism as the research object, and introduces large quantities of real-time data analysis and processing technology in smart tourism, and real-time processing data modeling methods. On this basis, scenic passenger flow monitoring model, scenic tourist analysis model and scenic passenger flow warning model will be established respectively. The technology presented in this paper has the characteristics of high real-time, high reliability, high accuracy of data processing, and has strong applicability, which be extended to other large data real-time processing scenarios.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"3 1","pages":"1848-1851"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73853199","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 : 2017-05-01DOI: 10.1109/CCDC.2017.7978517
Xinrui Shen, Tianyu Tan, Jian Hou
Industrial big data has created a challenge for data measurement, detection, and processing. This paper shows that support vector machine (SVM) is extremely useful in detecting fault information in modern complex industrial processes. With a pilot plant of Continuous Stirred Tank Heater (CSTH) process, the SVM method with radial basis function (RBF) kernels is tested on the CSTH database and compared with an improved Partial Least Squares (IPLS) and Principal Component Analysis (PCA). The performance of SVM is validated using k-fold cross-validation where the classifier based on SVM outperforms those based on PCA and IPLS. These comparisons show that SVM has remarkable detection performance and satisfying elapsed time. From an industrial point of view, the vitality of SVM algorithm in actual industrial process is discussed.
{"title":"Fault detection of a non-linear continuous stirred tank heater based on SVM","authors":"Xinrui Shen, Tianyu Tan, Jian Hou","doi":"10.1109/CCDC.2017.7978517","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978517","url":null,"abstract":"Industrial big data has created a challenge for data measurement, detection, and processing. This paper shows that support vector machine (SVM) is extremely useful in detecting fault information in modern complex industrial processes. With a pilot plant of Continuous Stirred Tank Heater (CSTH) process, the SVM method with radial basis function (RBF) kernels is tested on the CSTH database and compared with an improved Partial Least Squares (IPLS) and Principal Component Analysis (PCA). The performance of SVM is validated using k-fold cross-validation where the classifier based on SVM outperforms those based on PCA and IPLS. These comparisons show that SVM has remarkable detection performance and satisfying elapsed time. From an industrial point of view, the vitality of SVM algorithm in actual industrial process is discussed.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"51 1","pages":"7372-7377"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74260937","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}
A photovoltaic system based on quasi-Z-source inverter (QZSI) is discussed. The QZSI has higher boost capacity and stability than the traditional inverters, but different modulation strategy is needed to realize these characteristics. A new space vector pulse-width amplitude modulation strategy is proposed to reduce the switching loss and the weighted total harmonic distortion of the output voltage of photovoltaic system. Its algorithm and implementation are discussed. The proposed method is validated by simulations and experiments.
{"title":"A new modulation strategy of quasi-Z-source inverter in photovoltaic system","authors":"Cheng Qiming, Gao Jie, Cheng Yinman, Tan Fengren, Zhang Yu, Yu Deqing","doi":"10.1109/CCDC.2017.7978385","DOIUrl":"https://doi.org/10.1109/CCDC.2017.7978385","url":null,"abstract":"A photovoltaic system based on quasi-Z-source inverter (QZSI) is discussed. The QZSI has higher boost capacity and stability than the traditional inverters, but different modulation strategy is needed to realize these characteristics. A new space vector pulse-width amplitude modulation strategy is proposed to reduce the switching loss and the weighted total harmonic distortion of the output voltage of photovoltaic system. Its algorithm and implementation are discussed. The proposed method is validated by simulations and experiments.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"2 1","pages":"6711-6716"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74331929","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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