In this paper, we build an analysis index system model to evaluate the fatigue levels of offshore helicopter pilots. The system is established using the analytic hierarchy process (AHP) based on a survey covering sixty-six offshore helicopter pilots and ten flight safety experts. The factors and indicators of the system are selected according to related studies in civil aviation industry. The weight of each factor and indicator is determined using the order relation analysis method (G1 method) to analysis ten questionnaires replied by experts. The evaluated pilots fatigue levels are compared with the self-report fatigue levels for the validation of the model. Results show that the presented evaluation model is scientific and feasible for estimating the fatigue states of the pilots efficiently, thus can be employed by offshore helicopter companies to enhance the flight safety.
{"title":"A Comprehensive Helicopter Pilot Fatigue Evaluation Model for Offshore Operation","authors":"Wei Li, Jianxiang Ma, Yuefeng Su","doi":"10.1145/3544109.3544129","DOIUrl":"https://doi.org/10.1145/3544109.3544129","url":null,"abstract":"In this paper, we build an analysis index system model to evaluate the fatigue levels of offshore helicopter pilots. The system is established using the analytic hierarchy process (AHP) based on a survey covering sixty-six offshore helicopter pilots and ten flight safety experts. The factors and indicators of the system are selected according to related studies in civil aviation industry. The weight of each factor and indicator is determined using the order relation analysis method (G1 method) to analysis ten questionnaires replied by experts. The evaluated pilots fatigue levels are compared with the self-report fatigue levels for the validation of the model. Results show that the presented evaluation model is scientific and feasible for estimating the fatigue states of the pilots efficiently, thus can be employed by offshore helicopter companies to enhance the flight safety.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132732063","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}
In order to improve the accuracy and speed of sports video recognition, a sports video recognition model based on feature screening and support vector machine is proposed. Aiming at the disadvantages of the content-based image classification and retrieval method, such as huge amount of data and high computational complexity, this paper proposes an image classification method based on SIFT algorithm and applies it to sports image classification. On the basis of sorting image pixels, the extreme value region based on the change of gray closed value is extracted according to the neighborhood quadtree data structure optimized by rank merging and path compression, which effectively restores all the information of the region that eventually becomes a pixel value and gray threshold. The extreme value region is used as a node to construct a component tree, and the maximum stability criterion is obtained. In order to facilitate the subsequent feature description, a vector-based second-order center-rectangle general formula is constructed, and the general formula is reduced to a two-dimensional covariance matrix, and the irregular shape region is adjusted to an ellipse. Due to the complex and changeable image data, no matter what kind of algorithm is currently used, it cannot be applied to the matching problem of various images, especially for the situation that the image has scale change and affine deformation. Taking the image classification method in the SIFT algorithm as the research perspective, the characteristics of the SIFT algorithm and its generation are deeply analyzed, and the method is applied to the classification of sports images.
{"title":"Analysis and application of sports video image based on feature matching","authors":"Liang Gong","doi":"10.1145/3544109.3544382","DOIUrl":"https://doi.org/10.1145/3544109.3544382","url":null,"abstract":"In order to improve the accuracy and speed of sports video recognition, a sports video recognition model based on feature screening and support vector machine is proposed. Aiming at the disadvantages of the content-based image classification and retrieval method, such as huge amount of data and high computational complexity, this paper proposes an image classification method based on SIFT algorithm and applies it to sports image classification. On the basis of sorting image pixels, the extreme value region based on the change of gray closed value is extracted according to the neighborhood quadtree data structure optimized by rank merging and path compression, which effectively restores all the information of the region that eventually becomes a pixel value and gray threshold. The extreme value region is used as a node to construct a component tree, and the maximum stability criterion is obtained. In order to facilitate the subsequent feature description, a vector-based second-order center-rectangle general formula is constructed, and the general formula is reduced to a two-dimensional covariance matrix, and the irregular shape region is adjusted to an ellipse. Due to the complex and changeable image data, no matter what kind of algorithm is currently used, it cannot be applied to the matching problem of various images, especially for the situation that the image has scale change and affine deformation. Taking the image classification method in the SIFT algorithm as the research perspective, the characteristics of the SIFT algorithm and its generation are deeply analyzed, and the method is applied to the classification of sports images.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132772895","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}
Fei Zhou, Mengzhu Zhao, Kui Zhao, Jie Yang, Qian Wang, Jinyong Chen, Guohui Hu
Based on the quarterly data of Sichuan Province from 2006 to 2018, this paper constructs a VAR(5) model of electricity price, GDP per capita, energy consumption intensity, industrial structure, and social power consumption. the results showed that the increase of electricity inhibitory effect on regional economy is short-term, improve electricity than will not cause long-term effect on the development of the economy; The adjustment of industrial structure will have a direct effect on social electricity consumption and energy intensity, which will be fed back to the electricity price.
{"title":"Data Analysis and Computer Simulation of the Coordination Relationship between Electricity and Regional Development Based on VAR Model","authors":"Fei Zhou, Mengzhu Zhao, Kui Zhao, Jie Yang, Qian Wang, Jinyong Chen, Guohui Hu","doi":"10.1145/3544109.3544326","DOIUrl":"https://doi.org/10.1145/3544109.3544326","url":null,"abstract":"Based on the quarterly data of Sichuan Province from 2006 to 2018, this paper constructs a VAR(5) model of electricity price, GDP per capita, energy consumption intensity, industrial structure, and social power consumption. the results showed that the increase of electricity inhibitory effect on regional economy is short-term, improve electricity than will not cause long-term effect on the development of the economy; The adjustment of industrial structure will have a direct effect on social electricity consumption and energy intensity, which will be fed back to the electricity price.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"18 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132868027","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}
In recent years, machine reading comprehension has become one of the latest and most popular topics in natural language processing, attention mechanism has been widely used as an important method for extracting relevant information from articles in machine reading comprehension. This paper aims to summarize the development process of the attention mechanism and its application in machine reading comprehension. On the basis of the introduction of the derivation process of the attention mechanism, the network framework and the weight calculation method of the input data, it further introduces three kinds of attention-based Mechanisms for machine reading comprehension models. Finally, the future development trend of the attention mechanism in the field of machine reading comprehension is analyzed. The attention mechanism can help the model to extract important information and make the model make more accurate judgments. In the future, it will be more widely used in various tasks of machine reading comprehension.
{"title":"Application Research of Attention Mechanism in Machine Reading Comprehension","authors":"Di Wu, Ning Ma, F. Wan","doi":"10.1145/3544109.3544167","DOIUrl":"https://doi.org/10.1145/3544109.3544167","url":null,"abstract":"In recent years, machine reading comprehension has become one of the latest and most popular topics in natural language processing, attention mechanism has been widely used as an important method for extracting relevant information from articles in machine reading comprehension. This paper aims to summarize the development process of the attention mechanism and its application in machine reading comprehension. On the basis of the introduction of the derivation process of the attention mechanism, the network framework and the weight calculation method of the input data, it further introduces three kinds of attention-based Mechanisms for machine reading comprehension models. Finally, the future development trend of the attention mechanism in the field of machine reading comprehension is analyzed. The attention mechanism can help the model to extract important information and make the model make more accurate judgments. In the future, it will be more widely used in various tasks of machine reading comprehension.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126960105","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}
At present, the language teaching software lacks good feedback on the results of oral English learning, and the most important thing in oral English learning is to evaluate it effectively. In this paper, according to the pronunciation characteristics of English and the needs of spoken English learners, the speech recognition process of spoken English is realized by using the improved GLR (Generalized Maximum Likelihood Ratio Detection) algorithm, and a pronunciation scoring system for spoken English practice is provided for learners to help them improve their pronunciation in time. Comprehensive evaluation results show that the improved GLR algorithm improves the operation speed and processing performance compared with statistical algorithm and dynamic memory algorithm, which is more suitable for the task of speech recognition in oral English learning, and provides a new idea in the field of speech recognition in oral English learning.
{"title":"Research on Speech Recognition Technology of Oral English Learning Based on Improved GLR Algorithm","authors":"Zhang Tian","doi":"10.1145/3544109.3544354","DOIUrl":"https://doi.org/10.1145/3544109.3544354","url":null,"abstract":"At present, the language teaching software lacks good feedback on the results of oral English learning, and the most important thing in oral English learning is to evaluate it effectively. In this paper, according to the pronunciation characteristics of English and the needs of spoken English learners, the speech recognition process of spoken English is realized by using the improved GLR (Generalized Maximum Likelihood Ratio Detection) algorithm, and a pronunciation scoring system for spoken English practice is provided for learners to help them improve their pronunciation in time. Comprehensive evaluation results show that the improved GLR algorithm improves the operation speed and processing performance compared with statistical algorithm and dynamic memory algorithm, which is more suitable for the task of speech recognition in oral English learning, and provides a new idea in the field of speech recognition in oral English learning.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116607159","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}
Sheng Xin, Liang Tan, Xueyuan Deng, Miwei Liu, Weiqin Luo
This paper presents the research and application of BIM + GIS information technology to develop the business system for land acquisition and resettlement design of pumped storage power station, including demand analysis, 3D geographic information technology, lightweight development, functional development during development process, combined with the actual application, so as to verify the extent of work efficiency improvement.
{"title":"Research and Application of BIM + GIS Information Technology for Land Acquisition and Resettlement of Pumped Storage Power Station","authors":"Sheng Xin, Liang Tan, Xueyuan Deng, Miwei Liu, Weiqin Luo","doi":"10.1145/3544109.3544141","DOIUrl":"https://doi.org/10.1145/3544109.3544141","url":null,"abstract":"This paper presents the research and application of BIM + GIS information technology to develop the business system for land acquisition and resettlement design of pumped storage power station, including demand analysis, 3D geographic information technology, lightweight development, functional development during development process, combined with the actual application, so as to verify the extent of work efficiency improvement.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122065700","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}
From the semantic point of view, word semantic calculation can be defined in the whole text or between single word meanings, so word semantics have relevance and similarity, that is, it reflects the commonness of two words in the same context and the aggregation characteristics between two words. English semantic intelligent recognition is the basic technology in English fast input, simultaneous translation and other application fields, which can greatly improve the efficiency of English reading and communication. However, in practical application, English character recognition is easily interfered by noise, which seriously affects the efficiency of English semantic recognition. Based on modern intelligent recognition technology, an English semantic analysis method is designed. Modern intelligent recognition technology can extract the information of all words in the text, accurately identify the long and short patterns of text data, and accurately identify the emotional information contained in real and random English text. This paper studies the English Semantic Intelligent analysis method based on modern intelligent recognition technology, which shows that modern intelligent recognition technology has higher accuracy and calling rate in the process of sentence translation, especially in the English translation of prepositions, function words and tenses.
{"title":"Research on English Semantic Intelligent Analysis Method Based on Modern Intelligent Recognition Technology","authors":"Dan Xia","doi":"10.1145/3544109.3544349","DOIUrl":"https://doi.org/10.1145/3544109.3544349","url":null,"abstract":"From the semantic point of view, word semantic calculation can be defined in the whole text or between single word meanings, so word semantics have relevance and similarity, that is, it reflects the commonness of two words in the same context and the aggregation characteristics between two words. English semantic intelligent recognition is the basic technology in English fast input, simultaneous translation and other application fields, which can greatly improve the efficiency of English reading and communication. However, in practical application, English character recognition is easily interfered by noise, which seriously affects the efficiency of English semantic recognition. Based on modern intelligent recognition technology, an English semantic analysis method is designed. Modern intelligent recognition technology can extract the information of all words in the text, accurately identify the long and short patterns of text data, and accurately identify the emotional information contained in real and random English text. This paper studies the English Semantic Intelligent analysis method based on modern intelligent recognition technology, which shows that modern intelligent recognition technology has higher accuracy and calling rate in the process of sentence translation, especially in the English translation of prepositions, function words and tenses.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126095822","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}
Aiming at the multi-task cruising problem of UAV in three-dimensional uncertain weather environment, a path planning method based on coyote optimization algorithm is proposed in this paper. First of all, through the analysis of the dynamic changes of clouds, the destination risk assessment model is constructed as the safety constraint for UAV to fly in uncertain weather environment, and then the problem of UAV multi-task cruise is analyzed. a method of UAV multi-task cruise path planning is proposed to maximize the benefits of UAV cruise decision-making. Finally, the coyote optimization algorithm is used to make the optimal decision in line with the flight constraints, and the corresponding path coordinate sequence is obtained by decoding. The simulation results show that this method can find the path that satisfies the constraints and minimizes the penalty cost, so that the UAV can ensure the flight safety at the same time.
{"title":"Research on Multi-task Cruise Path Planning of UAV Based on COA Optimization Algorithm","authors":"Wenjie Li, Shuncheng Cai, Hongjun Zheng","doi":"10.1145/3544109.3544330","DOIUrl":"https://doi.org/10.1145/3544109.3544330","url":null,"abstract":"Aiming at the multi-task cruising problem of UAV in three-dimensional uncertain weather environment, a path planning method based on coyote optimization algorithm is proposed in this paper. First of all, through the analysis of the dynamic changes of clouds, the destination risk assessment model is constructed as the safety constraint for UAV to fly in uncertain weather environment, and then the problem of UAV multi-task cruise is analyzed. a method of UAV multi-task cruise path planning is proposed to maximize the benefits of UAV cruise decision-making. Finally, the coyote optimization algorithm is used to make the optimal decision in line with the flight constraints, and the corresponding path coordinate sequence is obtained by decoding. The simulation results show that this method can find the path that satisfies the constraints and minimizes the penalty cost, so that the UAV can ensure the flight safety at the same time.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129004257","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 our country's civil aviation transportation industry, aircraft flow management in the airspace has become a hot issue in recent years. The flow management strategy can globally optimize the flow distribution in the airspace, thereby indirectly reducing the possibility of flight conflicts. This paper proposes an air traffic flow optimization method based on a self-adaptive ground holding strategy. This method uses a global optimization of the airspace flow distribution to avoid the problem of a rapid increase of the flow in some sectors during a specific time period, and addresses the issue of aircraft conflicts from a macro perspective. It aims to achieve flow balance in the entire airspace by artificially delaying the take-off time of the aircraft, and while keeping the original flight path of the aircraft unchanged. This paper adopts CPLEX for simulation and verifies the feasibility of this method through specific experiments with real operation.
{"title":"Air traffic flow optimization based on a designed linear programming method","authors":"Xiangmin Guan","doi":"10.1145/3544109.3544111","DOIUrl":"https://doi.org/10.1145/3544109.3544111","url":null,"abstract":"With the rapid development of our country's civil aviation transportation industry, aircraft flow management in the airspace has become a hot issue in recent years. The flow management strategy can globally optimize the flow distribution in the airspace, thereby indirectly reducing the possibility of flight conflicts. This paper proposes an air traffic flow optimization method based on a self-adaptive ground holding strategy. This method uses a global optimization of the airspace flow distribution to avoid the problem of a rapid increase of the flow in some sectors during a specific time period, and addresses the issue of aircraft conflicts from a macro perspective. It aims to achieve flow balance in the entire airspace by artificially delaying the take-off time of the aircraft, and while keeping the original flight path of the aircraft unchanged. This paper adopts CPLEX for simulation and verifies the feasibility of this method through specific experiments with real operation.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122751444","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}
As a form of popular culture, athletics can promote people’s physical and mental health, and more and more athletics visual images are deeply rooted in people’s hearts through various media, which has a positive and extensive impact on modern society. With the rapid development of multimedia technology and Internet, it is an urgent problem to combine digital image processing, computer vision technology and database technology to create an effective description and retrieval technology for athletics images. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s aesthetic and appreciation ability of athletics. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s ability to appreciate and appreciate ath-letics.Evolution makes the visual system adaptive to the external environment. It looks for the extreme points in the spatial scale, and extracts their position, scale and rotation invariants, so as to form a 128 dimensional feature vector. In this paper, the feature extraction algorithm is applied to athletics image classification, which can effectively reduce the amount of data and have an important impact on improving the efficiency of image classification.
{"title":"Research on athletics Image Classification and Application Based on Feature Extraction Algorithm","authors":"Jun Zhao","doi":"10.1145/3544109.3544359","DOIUrl":"https://doi.org/10.1145/3544109.3544359","url":null,"abstract":"As a form of popular culture, athletics can promote people’s physical and mental health, and more and more athletics visual images are deeply rooted in people’s hearts through various media, which has a positive and extensive impact on modern society. With the rapid development of multimedia technology and Internet, it is an urgent problem to combine digital image processing, computer vision technology and database technology to create an effective description and retrieval technology for athletics images. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s aesthetic and appreciation ability of athletics. All kinds of visual images in the field of athletics should be studied by athletics visual culture, which is of certain value for explaining their cultural ideographic function in contemporary public life and improving the public’s ability to appreciate and appreciate ath-letics.Evolution makes the visual system adaptive to the external environment. It looks for the extreme points in the spatial scale, and extracts their position, scale and rotation invariants, so as to form a 128 dimensional feature vector. In this paper, the feature extraction algorithm is applied to athletics image classification, which can effectively reduce the amount of data and have an important impact on improving the efficiency of image classification.","PeriodicalId":187064,"journal":{"name":"Proceedings of the 3rd Asia-Pacific Conference on Image Processing, Electronics and Computers","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122785741","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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