Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00164
Bin Chao, Yaping Zhang
For beginners in sprinting, receiving timely and effective guidance and feedback can not only help them master the movement, but also effectively avoid sports injuries. However, the existing guidance and improvement methods are inconvenient and inaccurate. This paper makes an in-depth study of the human body posture synthesis model based on deep neural network, and uses it to obtain posture and joint data of athletes, and judges whether the posture is correct and standard through the correction system. It is found that the model in this paper can obtain more accurate human body data. The position correction system has a higher posture recognition rate, which can effectively judge whether the position posture is standard or not, it is of great significance for actual position guidance.
{"title":"Research and realization of crouch start correction system based on human pose estimation","authors":"Bin Chao, Yaping Zhang","doi":"10.1109/ITCA52113.2020.00164","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00164","url":null,"abstract":"For beginners in sprinting, receiving timely and effective guidance and feedback can not only help them master the movement, but also effectively avoid sports injuries. However, the existing guidance and improvement methods are inconvenient and inaccurate. This paper makes an in-depth study of the human body posture synthesis model based on deep neural network, and uses it to obtain posture and joint data of athletes, and judges whether the posture is correct and standard through the correction system. It is found that the model in this paper can obtain more accurate human body data. The position correction system has a higher posture recognition rate, which can effectively judge whether the position posture is standard or not, it is of great significance for actual position guidance.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123964137","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00108
Zhidong Liu
After the construction of digital campus, the informatization level of colleges and universities has been improved and data has been accumulated to a certain extent. As colleges and universities pay more and more attention to the value of data and the need for the construction of smart campus, the role of high-quality data centers has gradually become prominent. From the perspective of data governance, this study analyzes the relationship between data governance and data center construction by analyzing the process of data governance. Through the practice of data center construction based on data governance, this study explores the application path and action mode of data governance in data center construction, so as to better promote the construction of smart campus.
{"title":"Practice Research on University Data Center Construction from the Perspective of Data Governance","authors":"Zhidong Liu","doi":"10.1109/ITCA52113.2020.00108","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00108","url":null,"abstract":"After the construction of digital campus, the informatization level of colleges and universities has been improved and data has been accumulated to a certain extent. As colleges and universities pay more and more attention to the value of data and the need for the construction of smart campus, the role of high-quality data centers has gradually become prominent. From the perspective of data governance, this study analyzes the relationship between data governance and data center construction by analyzing the process of data governance. Through the practice of data center construction based on data governance, this study explores the application path and action mode of data governance in data center construction, so as to better promote the construction of smart campus.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125778922","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00167
Y. Ding, Liling Wang, Shaokun Li, Xutong Wang, Jianwei Zhang
At present, each industry has invested huge energy in the development of its own information construction, and has also derived numerous high-quality enterprise information forms. At the same time, a variety of new information construction concepts are emerging. Among them, in order to solve the problems of the rapid development of information technology, such as difficult to express the business needs of enterprises, difficult to use the feature model, difficult to integrate large-scale systems. A concept of Domain Driven Design as web software design idea began to appear, which has formed a relatively unified design specification in the software development industry under the continuous improvement. Compared with the previous database driven development method, it emphasizes the concept of the domain, the architecture and the objects in it are clear, and the reusability is good. It breaks the idea of technology as the leader in traditional software design, and the complexity of software implementation lies in the domain itself rather than the specific implementation technology. In order to solve the integration platform project that a large-scale energy enterprise focuses on, this paper proposes a design scheme of Web Platform Based on Domain Driven Design. Through the analysis and design of the domain model in the case, using layered architecture and. Net Entity Framework, this paper elaborates the architecture design based on the domain model in the platform and the application implementation method using the architecture, and finally provides a general software development architecture mode for the design of large-scale integrated platform.
{"title":"Enterprise service application architecture based on Domain Driven Model Design","authors":"Y. Ding, Liling Wang, Shaokun Li, Xutong Wang, Jianwei Zhang","doi":"10.1109/ITCA52113.2020.00167","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00167","url":null,"abstract":"At present, each industry has invested huge energy in the development of its own information construction, and has also derived numerous high-quality enterprise information forms. At the same time, a variety of new information construction concepts are emerging. Among them, in order to solve the problems of the rapid development of information technology, such as difficult to express the business needs of enterprises, difficult to use the feature model, difficult to integrate large-scale systems. A concept of Domain Driven Design as web software design idea began to appear, which has formed a relatively unified design specification in the software development industry under the continuous improvement. Compared with the previous database driven development method, it emphasizes the concept of the domain, the architecture and the objects in it are clear, and the reusability is good. It breaks the idea of technology as the leader in traditional software design, and the complexity of software implementation lies in the domain itself rather than the specific implementation technology. In order to solve the integration platform project that a large-scale energy enterprise focuses on, this paper proposes a design scheme of Web Platform Based on Domain Driven Design. Through the analysis and design of the domain model in the case, using layered architecture and. Net Entity Framework, this paper elaborates the architecture design based on the domain model in the platform and the application implementation method using the architecture, and finally provides a general software development architecture mode for the design of large-scale integrated platform.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"21 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665746","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00158
Zhichao Hu, Runfeng Zhang, Z. Zenkova, Yue Wang
As wind energy and other renewable energy sources are valued by various countries, it is very important to estimate and predict the wind energy level. The accuracy of wind energy prediction mainly depends on the accuracy of wind speed prediction. Therefore, to seek ways of improvement the accuracy of wind speed prediction has become the most important issue. In this paper, three different decomposition methods and commonly used wind speed prediction methods are used to compose the corresponding combined models, and to study which combined prediction model has higher accuracy. According to data research conducted by the National Meteorological Science Center, experiments show that the prediction accuracy of the combined prediction model using the Variational mode decomposition (VMD) method is higher than that of the combined prediction model using empirical mode decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD).
{"title":"Wind Speed Prediction Performance Based on Modal Decomposition Method","authors":"Zhichao Hu, Runfeng Zhang, Z. Zenkova, Yue Wang","doi":"10.1109/ITCA52113.2020.00158","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00158","url":null,"abstract":"As wind energy and other renewable energy sources are valued by various countries, it is very important to estimate and predict the wind energy level. The accuracy of wind energy prediction mainly depends on the accuracy of wind speed prediction. Therefore, to seek ways of improvement the accuracy of wind speed prediction has become the most important issue. In this paper, three different decomposition methods and commonly used wind speed prediction methods are used to compose the corresponding combined models, and to study which combined prediction model has higher accuracy. According to data research conducted by the National Meteorological Science Center, experiments show that the prediction accuracy of the combined prediction model using the Variational mode decomposition (VMD) method is higher than that of the combined prediction model using empirical mode decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD).","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131044148","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00043
Zhengyu He
Recently, deep learning is emerging as a powerful tool and has become a leading machine learning tool in computer vision and image analysis. In this survey paper, we provide a snapshot of this fast-growing field, image classification, specifically. We briefly introduce several popular neutral networks and summarize their applications in image classification. In addition, we also discuss the challenge of deep learning in image classification.
{"title":"Deep Learning in Image Classification: A Survey Report","authors":"Zhengyu He","doi":"10.1109/ITCA52113.2020.00043","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00043","url":null,"abstract":"Recently, deep learning is emerging as a powerful tool and has become a leading machine learning tool in computer vision and image analysis. In this survey paper, we provide a snapshot of this fast-growing field, image classification, specifically. We briefly introduce several popular neutral networks and summarize their applications in image classification. In addition, we also discuss the challenge of deep learning in image classification.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125662705","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00014
Wenbo Hu, Ziyan Zhang
With the advent of the 5G era, the information visualization design has become an important part in the information communication process under the explosive growth of mass information data. It is extremely urgent to eliminate the ineffective transfer of effective information acquired by the audience in the information communication. The information communication breadth and reading depth can be enhanced through the conscious information generalization and design in artistic form.
{"title":"Computer-Aided Visualization Design of Graphic Information in New Media under the Background of 5G Era","authors":"Wenbo Hu, Ziyan Zhang","doi":"10.1109/ITCA52113.2020.00014","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00014","url":null,"abstract":"With the advent of the 5G era, the information visualization design has become an important part in the information communication process under the explosive growth of mass information data. It is extremely urgent to eliminate the ineffective transfer of effective information acquired by the audience in the information communication. The information communication breadth and reading depth can be enhanced through the conscious information generalization and design in artistic form.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127943588","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00159
Peng Nie, Yu-Chen Zheng, Ruixuan Wang, Chu-Qiao Chen, Jianxiong Dong, Jia-Hao Liu
With the continuous growth of data volume in the information age, it is becoming more and more difficult for people to obtain information they care about. The traditional way of manually collecting information from such massive data is inconvenient and inefficient. In order to solve this problem, we design an web information subscription system based on intelligent crawler. In this paper, the first section introduces the design of the system, which includes the two confirmations to determine the specific monitoring area, the original xpath-based information positioning and block method, the task management based on apscheduler and so on. The second section introduces the implementation of the system, which included the process of how to operate the system. The third hows the running interface and results of the system. And finally the experiments show that the system can help users quickly obtain useful web information.
{"title":"Design and Implementation of Information Subscription System Based on Intelligent Crawler","authors":"Peng Nie, Yu-Chen Zheng, Ruixuan Wang, Chu-Qiao Chen, Jianxiong Dong, Jia-Hao Liu","doi":"10.1109/ITCA52113.2020.00159","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00159","url":null,"abstract":"With the continuous growth of data volume in the information age, it is becoming more and more difficult for people to obtain information they care about. The traditional way of manually collecting information from such massive data is inconvenient and inefficient. In order to solve this problem, we design an web information subscription system based on intelligent crawler. In this paper, the first section introduces the design of the system, which includes the two confirmations to determine the specific monitoring area, the original xpath-based information positioning and block method, the task management based on apscheduler and so on. The second section introduces the implementation of the system, which included the process of how to operate the system. The third hows the running interface and results of the system. And finally the experiments show that the system can help users quickly obtain useful web information.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126358599","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00104
Wanghao Ren, Zhiming Li, Hailing Li, Yang Li, Chunwei Zhang, Xiaoqian Fu
Quantum machine learning is a hot topic in the quantum community recently. The combination of quantum machine learning and image processing is also one of the researchers’ concerns. With the promotion of deep learning to process images, the field of image processing has also shown amazing potential. The combination of quantum computing and artificial intelligence can not only exert the computing power of quantum computing but also find more applications in the field of image processing. This article combines quantum generative adversarial learning with the field of image processing. A quantum generative adversarial network is designed to load and learn classical image data. Numerical simulations intuitively show that quantum algorithms can also effectively process images. In our scheme, using N qubits can load 2N classical bits of image data.
{"title":"Application of Quantum Generative Adversarial Learning in Quantum Image Processing","authors":"Wanghao Ren, Zhiming Li, Hailing Li, Yang Li, Chunwei Zhang, Xiaoqian Fu","doi":"10.1109/ITCA52113.2020.00104","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00104","url":null,"abstract":"Quantum machine learning is a hot topic in the quantum community recently. The combination of quantum machine learning and image processing is also one of the researchers’ concerns. With the promotion of deep learning to process images, the field of image processing has also shown amazing potential. The combination of quantum computing and artificial intelligence can not only exert the computing power of quantum computing but also find more applications in the field of image processing. This article combines quantum generative adversarial learning with the field of image processing. A quantum generative adversarial network is designed to load and learn classical image data. Numerical simulations intuitively show that quantum algorithms can also effectively process images. In our scheme, using N qubits can load 2N classical bits of image data.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122307106","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00016
Hui Liu, Kun Wang, Zikai Liu
Breadth first search algorithm is widely used in traditional crawler programs. This kind of search algorithm takes the way of blindly searching data, and does not make use of the characteristics of crawling data. When there are many websites, the crawler will be very time-consuming. Based on the above reasons, an adaptive heuristic search algorithm is designed. According to the relevance between the page and the topic and the related information of the link, the more likely link is selected for crawling, and the estimation function is modified according to the crawling result. Experiments show that the algorithm can significantly improve the efficiency of crawler than breadth first search algorithm.
{"title":"Application and research of heuristic search algorithm in crawler field","authors":"Hui Liu, Kun Wang, Zikai Liu","doi":"10.1109/ITCA52113.2020.00016","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00016","url":null,"abstract":"Breadth first search algorithm is widely used in traditional crawler programs. This kind of search algorithm takes the way of blindly searching data, and does not make use of the characteristics of crawling data. When there are many websites, the crawler will be very time-consuming. Based on the above reasons, an adaptive heuristic search algorithm is designed. According to the relevance between the page and the topic and the related information of the link, the more likely link is selected for crawling, and the estimation function is modified according to the crawling result. Experiments show that the algorithm can significantly improve the efficiency of crawler than breadth first search algorithm.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"31 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972190","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00054
Lei Zhou, Jianan Liang, Yongjun Cao
Scratches are a common phenomenon in the production of the PET bottle preform, and traditional inspection by human eyes bring troubles to the automatic production process. In this paper, deep learning algorithm was used to detect PET bottle preform scratches. The detection algorithm based on YOLOv4 neural network was proposed. The detection effect was tested under different scratch degrees, which provide accurate information for automatic production picking of the PET bottle preform. The average detection time of a single image was 0.154s, and the shortest detection time was 0.133s.
{"title":"Scratch Detection of the PET Bottle Preform Based on Deep Learning","authors":"Lei Zhou, Jianan Liang, Yongjun Cao","doi":"10.1109/ITCA52113.2020.00054","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00054","url":null,"abstract":"Scratches are a common phenomenon in the production of the PET bottle preform, and traditional inspection by human eyes bring troubles to the automatic production process. In this paper, deep learning algorithm was used to detect PET bottle preform scratches. The detection algorithm based on YOLOv4 neural network was proposed. The detection effect was tested under different scratch degrees, which provide accurate information for automatic production picking of the PET bottle preform. The average detection time of a single image was 0.154s, and the shortest detection time was 0.133s.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"25 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132624781","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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