In order to understand the working state of on orbit satellites, it is necessary to analyze the telemetry data. The fast-changing telemetry data is an important data to express the navigation service status of navigation satellite. Its analysis and modeling are helpful to mine the deep information of navigation telemetry data. A modeling method of on orbit navigation satellite fast-changing telemetry data based on decision tree regression is proposed. The model is used to predict the power measurements at frequency points. The results show that R2 value is greater than 0.96, and the error of prediction value is small. A fast-changing telemetry data model with good effect is established, which provides a possible scheme for the application of artificial intelligence in the analysis of fast-changing telemetry data.
{"title":"Application of decision tree regression in navigation satellite telemetry data modeling","authors":"Xuehuan Zhang, Jian-bo Sun, D. Zhao","doi":"10.1117/12.2653511","DOIUrl":"https://doi.org/10.1117/12.2653511","url":null,"abstract":"In order to understand the working state of on orbit satellites, it is necessary to analyze the telemetry data. The fast-changing telemetry data is an important data to express the navigation service status of navigation satellite. Its analysis and modeling are helpful to mine the deep information of navigation telemetry data. A modeling method of on orbit navigation satellite fast-changing telemetry data based on decision tree regression is proposed. The model is used to predict the power measurements at frequency points. The results show that R2 value is greater than 0.96, and the error of prediction value is small. A fast-changing telemetry data model with good effect is established, which provides a possible scheme for the application of artificial intelligence in the analysis of fast-changing telemetry data.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72405223","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 promotion of smart city and other technologies, the application of embedded vision detection equipment is becoming more and more popular, among which gesture recognition is an important application of embedded vision detection equipment. At present, gesture recognition technology on embedded visual detection equipment is mostly implemented by calling API in domestic and foreign researches and products. But this method needs the support of stable communication network and has certain delay problem. To solve the above problems, this paper proposes a lightweight neural network model that can be deployed on embedded devices, which can realize local gesture recognition on embedded terminals without network remote transmission. The network builds a training framework on PyTorch and uses a homemade dataset for training, then lightens the network and finally deploys on raspberry PI for gesture recognition. Experimental results show that this network can run at a higher rate in raspberry PI 4B (4GB), and the model size is greatly reduced. The final recognition effect is good, and it has high practical value.
{"title":"Application research of gesture recognition based on lightweight neural network","authors":"Xinghan Huang, Xiaofu Du, Hedan Liu","doi":"10.1117/12.2653442","DOIUrl":"https://doi.org/10.1117/12.2653442","url":null,"abstract":"With the promotion of smart city and other technologies, the application of embedded vision detection equipment is becoming more and more popular, among which gesture recognition is an important application of embedded vision detection equipment. At present, gesture recognition technology on embedded visual detection equipment is mostly implemented by calling API in domestic and foreign researches and products. But this method needs the support of stable communication network and has certain delay problem. To solve the above problems, this paper proposes a lightweight neural network model that can be deployed on embedded devices, which can realize local gesture recognition on embedded terminals without network remote transmission. The network builds a training framework on PyTorch and uses a homemade dataset for training, then lightens the network and finally deploys on raspberry PI for gesture recognition. Experimental results show that this network can run at a higher rate in raspberry PI 4B (4GB), and the model size is greatly reduced. The final recognition effect is good, and it has high practical value.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78810082","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}
Traditional culture is the communication source and important communication channel of China's cultural construction output, which has a lot of value waiting to be excavated. With the rapid development of China's economy and technology, some excellent traditional culture has gradually disappeared in people's vision, many traditional folk crafts and technologies are on the verge of disappearing, their living environment is worrying [1]. The advent of the Internet era has brought new opportunities to the rise of traditional culture, which can spread its cultural deposits in different forms through the Internet platform. Under the background of current culture "going out", folk traditional culture has gradually attracted the public's attention. On the basis of respecting and restoring traditional culture, it is necessary to improve the effectiveness and interest of traditional culture information dissemination. This article mainly tells the story of folk traditional culture resources based on the cloud platform to optimize the design of the system, put forward his opinion in light of the present condition of the traditional culture, the purpose is to speed up the traditional culture and the integration of the Internet, thus the spread of the traditional culture and resources optimization design, as much as possible to retain the irreplaceability of traditional culture.
{"title":"Design of folk custom traditional culture resources optimization system based on cloud platform","authors":"Honglan Yuan","doi":"10.1117/12.2653730","DOIUrl":"https://doi.org/10.1117/12.2653730","url":null,"abstract":"Traditional culture is the communication source and important communication channel of China's cultural construction output, which has a lot of value waiting to be excavated. With the rapid development of China's economy and technology, some excellent traditional culture has gradually disappeared in people's vision, many traditional folk crafts and technologies are on the verge of disappearing, their living environment is worrying [1]. The advent of the Internet era has brought new opportunities to the rise of traditional culture, which can spread its cultural deposits in different forms through the Internet platform. Under the background of current culture \"going out\", folk traditional culture has gradually attracted the public's attention. On the basis of respecting and restoring traditional culture, it is necessary to improve the effectiveness and interest of traditional culture information dissemination. This article mainly tells the story of folk traditional culture resources based on the cloud platform to optimize the design of the system, put forward his opinion in light of the present condition of the traditional culture, the purpose is to speed up the traditional culture and the integration of the Internet, thus the spread of the traditional culture and resources optimization design, as much as possible to retain the irreplaceability of traditional culture.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89295627","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 this era of information explosion, we need to query through scholar website, talent website or major recruitment websites to find the required talent information. However, there are problems of easy matching failure, low correlation, high maintenance cost, complicated steps and lack of information. Considering with the current research direction and its short comings, this paper proposes a multi-feature and multi-relationship talent discovery algorithm based on knowledge graph (TDKG). Firstly, the talent graph is constructed based on talent dataset, then the needs of user are analyzed by natural language processing, and finally the multi-feature and multi-relationship search is realized by combining the talent graph. By crawling the real talent data on the post graduate enrollment information website, the talent graph and the talent discovery system is constructed for verification. The experiment shows that this algorithm can precisely identify the needs of users and return the talent information required by users. Compared with the existing talent search methods, it has more pertinence, richer and more perfect functions.
{"title":"Multi-feature and multi-relationship talent discovery algorithm based on knowledge graph","authors":"Chen Yuanyi, Wang Huamin, Su Zeyin, Li Ruizhu","doi":"10.1117/12.2653416","DOIUrl":"https://doi.org/10.1117/12.2653416","url":null,"abstract":"In this era of information explosion, we need to query through scholar website, talent website or major recruitment websites to find the required talent information. However, there are problems of easy matching failure, low correlation, high maintenance cost, complicated steps and lack of information. Considering with the current research direction and its short comings, this paper proposes a multi-feature and multi-relationship talent discovery algorithm based on knowledge graph (TDKG). Firstly, the talent graph is constructed based on talent dataset, then the needs of user are analyzed by natural language processing, and finally the multi-feature and multi-relationship search is realized by combining the talent graph. By crawling the real talent data on the post graduate enrollment information website, the talent graph and the talent discovery system is constructed for verification. The experiment shows that this algorithm can precisely identify the needs of users and return the talent information required by users. Compared with the existing talent search methods, it has more pertinence, richer and more perfect functions.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88289727","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 this paper, the job responsibility of railway locomotive and rolling stock supervision managements and operators is investigated, the current situation and problems of supervision management informatization are analyzed. Through the above research, the supervision business process model under the new supervision management mode is established, and railway locomotive and rolling stock supervision management information system is designed and implemented. Meanwhile, the actual application of the system is described at the end of this paper. Though the application of the system, it can assist supervisors to find and solve problems at the first time and realize the supervision management of the whole process of product procurement, design, manufacturing, testing, handover, etc, which strengthens the source quality control for the railway locomotive and rolling stock.
{"title":"Design and implement of the railway locomotive and rolling stock supervision management information system","authors":"Jiajia Sun, Yawei Liu, Zhigang Wang, Hui Wang","doi":"10.1117/12.2653482","DOIUrl":"https://doi.org/10.1117/12.2653482","url":null,"abstract":"In this paper, the job responsibility of railway locomotive and rolling stock supervision managements and operators is investigated, the current situation and problems of supervision management informatization are analyzed. Through the above research, the supervision business process model under the new supervision management mode is established, and railway locomotive and rolling stock supervision management information system is designed and implemented. Meanwhile, the actual application of the system is described at the end of this paper. Though the application of the system, it can assist supervisors to find and solve problems at the first time and realize the supervision management of the whole process of product procurement, design, manufacturing, testing, handover, etc, which strengthens the source quality control for the railway locomotive and rolling stock.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90394558","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}
Beixin Ma, Bin Hao, Fei Zhang, Lu Gao, Xiao-Ying Ren
Traditional recommendation methods model users as vectors in a way that focuses only on single-sided user preferences. In order to compensate for the limitations of this modelling approach, a tensor modelling method is proposed that models the user as a rectangle. Firstly, a recommendation model based on a fusion of collaborative filtering and sequential recommender algorithms is constructed, which integrates the Transformer model and Pooling layer to model the user tensor; secondly, the similarity between the user tensor and the target item is calculated by combining the distance between the user tensor and the target item and the bias. The model is experimentally validated on the MovieLens datasets, and the results show that the model is able to focus on multiple user preferences and outperforms the baseline method in terms of accuracy of recommendation results.
{"title":"Research on recommendation method based on tensor similarity","authors":"Beixin Ma, Bin Hao, Fei Zhang, Lu Gao, Xiao-Ying Ren","doi":"10.1117/12.2653749","DOIUrl":"https://doi.org/10.1117/12.2653749","url":null,"abstract":"Traditional recommendation methods model users as vectors in a way that focuses only on single-sided user preferences. In order to compensate for the limitations of this modelling approach, a tensor modelling method is proposed that models the user as a rectangle. Firstly, a recommendation model based on a fusion of collaborative filtering and sequential recommender algorithms is constructed, which integrates the Transformer model and Pooling layer to model the user tensor; secondly, the similarity between the user tensor and the target item is calculated by combining the distance between the user tensor and the target item and the bias. The model is experimentally validated on the MovieLens datasets, and the results show that the model is able to focus on multiple user preferences and outperforms the baseline method in terms of accuracy of recommendation results.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89106240","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}
Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang
Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.
{"title":"Image-based 2-D non-contact human data measurement and its application to automotive seats","authors":"Chunyan Liu, Cheng-Xue Yin, Zibo Wu, F. Guo, Yuan Wang, X. Si, Baodong Wang","doi":"10.1117/12.2653545","DOIUrl":"https://doi.org/10.1117/12.2653545","url":null,"abstract":"Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89430069","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}
SQL injection attack could obtain sensitive information in the database, tamper or delete illegally obtained information, etc., which causes immeasurable losses to the system. Aiming at SQL injection attack, this paper proposes a new SQL injection detection scheme that combines traditional detection methods with abstract syntax tree structure judgment based on semantic analysis. The solution includes modules such as data preprocessing, SQL statement pre-assembly, and semantic analysis. By assembling the user input content and the actual SQL template statement to form a complete SQL statement, the statement is subjected to structural judgment and semantic analysis to determine the request and precisely identify malicious injection attack.
{"title":"Malicious SQL data injection detection","authors":"Huizi Yan, Jiwei Chen","doi":"10.1117/12.2653531","DOIUrl":"https://doi.org/10.1117/12.2653531","url":null,"abstract":"SQL injection attack could obtain sensitive information in the database, tamper or delete illegally obtained information, etc., which causes immeasurable losses to the system. Aiming at SQL injection attack, this paper proposes a new SQL injection detection scheme that combines traditional detection methods with abstract syntax tree structure judgment based on semantic analysis. The solution includes modules such as data preprocessing, SQL statement pre-assembly, and semantic analysis. By assembling the user input content and the actual SQL template statement to form a complete SQL statement, the statement is subjected to structural judgment and semantic analysis to determine the request and precisely identify malicious injection attack.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89671367","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}
Under the high attention of the state, virtual reality technology has moved towards the public vision with its wide application ability. It has been widely concerned and praised by enterprises and users. Virtual reality technology has greatly reduced the tourism cost, solved some difficulties faced by traditional tourism, and brought new opportunities for tourism. This project establishes the virtual scene of Changbai Mountain in Jilin Province by virtual reality technology. Users can connect to the scene by virtual reality equipment and interact with the model in the scene to get a different tourism experience.
{"title":"Virtual tourism experience of Changbai Mountain scenic spot","authors":"Xingrong Guo, Xin Pu, Youai Xia, Haopeng Guo, Yuyang Wang, Lili Wang","doi":"10.1117/12.2653436","DOIUrl":"https://doi.org/10.1117/12.2653436","url":null,"abstract":"Under the high attention of the state, virtual reality technology has moved towards the public vision with its wide application ability. It has been widely concerned and praised by enterprises and users. Virtual reality technology has greatly reduced the tourism cost, solved some difficulties faced by traditional tourism, and brought new opportunities for tourism. This project establishes the virtual scene of Changbai Mountain in Jilin Province by virtual reality technology. Users can connect to the scene by virtual reality equipment and interact with the model in the scene to get a different tourism experience.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87469467","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}
The development of new generation information technology service education and teaching is an important hotspot of global development. The cultivation of new pharmaceutical professionals in higher vocational colleges must grasp the opportunity of the development of new generation information technology and realize the innovation and breakthrough of the cultivation of new pharmaceutical professionals. Taking the characteristic course of Internet of things technology as an example, studying the functional orientation and effect evaluation of the new generation of information technology in the training of new pharmaceutical talents can provide reference for higher vocational colleges to realize the integration of the new generation of information technology into professional talent training.
{"title":"Functional orientation and effect evaluation of the integration of new generation information technology into the training of new pharmaceutical talents: take the characteristic courses of Internet of things technology as an example","authors":"Chunxia Dai","doi":"10.1117/12.2653497","DOIUrl":"https://doi.org/10.1117/12.2653497","url":null,"abstract":"The development of new generation information technology service education and teaching is an important hotspot of global development. The cultivation of new pharmaceutical professionals in higher vocational colleges must grasp the opportunity of the development of new generation information technology and realize the innovation and breakthrough of the cultivation of new pharmaceutical professionals. Taking the characteristic course of Internet of things technology as an example, studying the functional orientation and effect evaluation of the new generation of information technology in the training of new pharmaceutical talents can provide reference for higher vocational colleges to realize the integration of the new generation of information technology into professional talent training.","PeriodicalId":32903,"journal":{"name":"JITeCS Journal of Information Technology and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82053012","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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