{"title":"Design and implementation of dance teaching live broadcast system of computer network platform","authors":"Yixuan Wang","doi":"10.1109/ICDSCA56264.2022.9988317","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988317","url":null,"abstract":"In artistic aesthetic, dance art is the most beautiful form of expression with special beauty. It can not only convey emotion, but also present beauty. It integrates time and space to express harmonious rhythm. It is not only an art to beautify human action, but also a wonderful appreciation beyond the soul. Dance education presents artistic image based on aesthetic way, which causes influence and inspiration to people under imperceptible influence. In order to improve people's dance appreciation and appreciation level, it is necessary to vigorously popularize dance education for amateurs and non-dance professional students, so as to cultivate their dance aesthetic appreciation, training, performance and other abilities. Dance teaching needs to combine body movements with music, clothing, lighting and other artistic elements, which is limited by time and space, and cannot be carried out on a large scale and on a large scale. The mobile terminal learning mode, based on the video live broadcast and communication mode, directly provides a new development path for dance popularization and education. Therefore, this paper designs the dance teaching live broadcast system with the computer network platform as the carrier.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130167188","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}
{"title":"Design of personalized recommendation algorithm for mobile intelligent book management system based on cloud computing technology","authors":"Xiaolei Zhong","doi":"10.1109/ICDSCA56264.2022.9988017","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988017","url":null,"abstract":"With the continuous maturity of network technology, digital technology has gradually penetrated into many aspects of real life. The concept of digital technology is consistent with the concept of library management. The use of digital technology can realize the connection of library management information value chain. Library management is cumbersome and complex, the number of borrowing continues to increase [1], including a large number of information data, there is an urgent need to develop an effective library information management system. At present, in today's society with the continuous development of economy and the continuous innovation of science and technology, the management procedure of library borrowing information cannot meet people's growing needs. There will also be problems such as improper information processing and less functions, which will eventually affect people's use emotion and borrowing service. Therefore, in order to give readers a more comfortable and convenient borrowing experience and more effectively improve the library workflow, it is particularly important to design and run a library borrowing information management system based on cloud computing. Therefore, this paper studies the design of book query system based on Java, in order to reduce the work intensity of library managers and provide convenience for readers to query books. Using the relevant algorithms of big data technology to classify and sort out book information, provide users with personalized recommendations and improve their use efficiency. It can also make it easier for administrators to manage books and user information and improve the utilization rate of book resources.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721611","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}
{"title":"Research on Entity Naming Algorithm for NLP Based on Multi-level Fusion Recurrent Neural Network","authors":"Zhenghan Qin, Ziwen Ge","doi":"10.1109/ICDSCA56264.2022.9988714","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988714","url":null,"abstract":"Natural language processing (NLP) entity naming is one of the important contents of NLP. Its function is to extract information with practical meaning from the text so the system can perform high-level analysis. Due to the polysemy of words in traditional language texts, the texts in long, difficult sentences and complex sentences are difficult to be recognized by machines and accurately, which brings certain troubles to the current program naming algorithm. Therefore, it is necessary to design a new NLP entity naming algorithm, through the deep learning algorithm analysis of the language text, fully integrate it so it can be parsed and named by the computer language. This paper first analyzes the problem of entity naming in NLP and introduces the neural network architecture and supporting attention mechanism. It can better recognize natural language named entities.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126228768","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}
{"title":"Tunnel Ventilation System Based on Variable Universe Fuzzy PID Control","authors":"Zhang Chen","doi":"10.1109/ICDSCA56264.2022.9988294","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988294","url":null,"abstract":"In order to further improve the control efficiency of the tunnel ventilation system and reduce the energy consumption and the maintenance of the operating environment, the fuzzy PID control algorithm is used to fuzzify the tunnel ventilation control system, and the control system is redesigned based on the idea of variable universe. The input and output of the system and the scalable factor, the variable universe adaptive fuzzy PID control algorithm is applied to the tunnel ventilation control system. The simulation simulator is designed by oneself, and the fuzzy PID control system is combined with the variable universe scalable factor control system, and the simulation results of the control system are studied in the simulation software. The results show that in the tunnel ventilation control system, compared with the general traditional fuzzy PID control system, the variable universe fuzzy PID control system has better control effect, and its overshoot is smaller and the adjustment time is shorter.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126467291","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}
{"title":"A Hybrid Job Recommendation Algorithm for Intelligent Employment System Using User Profile-Based Filtering","authors":"Yuan Zhu","doi":"10.1109/ICDSCA56264.2022.9987797","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987797","url":null,"abstract":"With high speed of Internet development, especially in area of college employment system (CES), which are used to searching the Internet for these college graduates to acquire the proper positions of the proper company. Meanwhile, how to find the right candidate from the massive graduate-ability data matrix becomes a hard issue. Traditional campus recruitment includes so many steps which will cost much time and human capital. Thus, our proposed hybrid talent recommendation method can solve this problem by predicting the future proper candidate for the company by comparing the ability data of the present company talent with recent campus graduate who do not have any working experience. Ability similarity and demographic similarity are both considered in our method combined with traditional collaborative filtering making our prediction more precise and suitable for College Employment Systems in real situation.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122166152","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}
{"title":"The application of somatosensory interaction in different fields","authors":"Yilan Liu, Boyang Shen","doi":"10.1109/ICDSCA56264.2022.9987892","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9987892","url":null,"abstract":"With the development of science and technology, somatosensory interaction has gradually become one of the most popular human-computer interaction modes. It is worth discussing how to further study the important role of this technology in various fields and its future application. Therefore, this paper mainly introduces the development status of somatosensory interaction technology from four aspects: medical treatment, education, economy and game, analyzes the advantages of somatosensory interaction technology in different fields. Especially in the aspect of education, this paper expounds the influence of somatosensory interaction from experimental teaching, preschool enlightenment, fitness teaching and other aspects in detail. In addition, the characteristics of these four fields are further analyzed and discussed with examples. In particular, it also summarizes the applications in different fields. At the end of the paper, the applications of these four fields are summarized and the future prospect of somatosensory interaction is discussed.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125815869","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}
Pan Wu, Zhang Long, Guochao Li, Chunping Liang, Yanyun Chen, Jun Tian, Guang Chen, Jianhua Zhao
{"title":"Research on Deformation Detection of Traction Wire Rope Based on Non-contact","authors":"Pan Wu, Zhang Long, Guochao Li, Chunping Liang, Yanyun Chen, Jun Tian, Guang Chen, Jianhua Zhao","doi":"10.1109/ICDSCA56264.2022.9988307","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988307","url":null,"abstract":"The deformation of the traction wire rope includes the deformation caused by traction force and wear. If the deformation of the traction wire rope exceeds the corresponding safety range, it will bring great safety hazards. This paper discusses the non-contact detection method of traction wire rope based on the CCD visual imaging. Different from the method of the traditional contact detection, and it can realize real-time monitoring when the detected traction wire rope is working, and it will not cause damage to the traction wire rope. This paper studies the thinning algorithm of the traction wire rope image about the contour extraction of the traction wire rope image, the straight line fitting of the traction wire rope contour coordinates, and the calculation of the traction wire rope deformation.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116650429","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}
Yuxuan Jiang, Jiajie Tang, Jibin Zhang, Shuangquan Wang
{"title":"Research on the identification of the ancient building roof based on the object detection algorithm","authors":"Yuxuan Jiang, Jiajie Tang, Jibin Zhang, Shuangquan Wang","doi":"10.1109/ICDSCA56264.2022.9988332","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988332","url":null,"abstract":"In recent years, the digital protection of ancient buildings based on modern technology has received more and more attention. The digital protection of ancient buildings and the establishment of the database can enhance the ability of ancient buildings to resist risks. However, the degree of automation in the process of database establishment is not high, which requires expert identification and statistics, which is time and force-consuming. Therefore, the construction of the automatic identification model of the roof of ancient buildings is of great significance for the maintenance and management, dating and three-dimensional reconstruction of ancient buildings. This paper develops a method for establishing the database of ancient building roof components, and develops a deep learning model framework based on the target detection algorithm to identify the specific types of ancient building roof. The automatic roof identification method proposed in this paper performs well in the hip roof, and the results can meet the needs of the roof digital protection and maintenance management.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121658212","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}
{"title":"Traffic Big Data Intelligent Object Tracking Technology under Noise Conditions","authors":"Tang Mingze, Xinyao Yu","doi":"10.1109/ICDSCA56264.2022.9988019","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988019","url":null,"abstract":"Intelligent transportation systems make extensive use of image processing techniques such as object detection and tracking. Real-world traffic conditions require specialized processing of image noise, typically caused by weather conditions or occlusions. This paper proposes a contextual community attention graph neural network structure, which uses the attention mechanism representation of different community nodes to associate important recognition features. This structure can effectively track objects in noisy videos. Algorithm comparison experiments on the dataset show that the method performs better in rainy and night conditions.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"384 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122438505","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}
{"title":"Research on the Application of Computer 3Dmax Image Modeling Technology in Environmental Design","authors":"L. Wang","doi":"10.1109/ICDSCA56264.2022.9988656","DOIUrl":"https://doi.org/10.1109/ICDSCA56264.2022.9988656","url":null,"abstract":"A typical case of a virtual reality interactive system combining software and hardware is proposed by comprehensively using embedded, three-dimensional modeling, virtual reality and other technologies to realize real-time interactive control between virtual scenes and real environments. Based on the example of making 3D indoor scene roaming animation, this paper discusses the theory and technical methods of 3D indoor scene roaming based on 3DSMAX, Premiere Pro and other software. The method and skills of using the v-ray renderer to render the output image and importing it into Premiere Ro for post-compositing.","PeriodicalId":416983,"journal":{"name":"2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127770819","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}