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2022 3rd International Conference on Information Science and Education (ICISE-IE)最新文献

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Application of Virtual Simulation Experimental Teaching Platform of Vehicle-infrastructure Collaboration Perception in Postgraduate Education 车辆-基础设施协同感知虚拟仿真实验教学平台在研究生教育中的应用
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00020
Jiaru Wang, J. Li, Bin Lv, Chuanyi Ma, Xinyan Wang, Yuchen Tao
{"title":"Application of Virtual Simulation Experimental Teaching Platform of Vehicle-infrastructure Collaboration Perception in Postgraduate Education","authors":"Jiaru Wang, J. Li, Bin Lv, Chuanyi Ma, Xinyan Wang, Yuchen Tao","doi":"10.1109/icise-ie58127.2022.00020","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00020","url":null,"abstract":"In order to meet the teaching needs of the vehicle-infrastructure collaboration perception experiment course, this paper presents a virtual simulation experiment teaching platform. It is easy to operate, which takes Unity3d as the main development platform and contains two modules. Students can simulate the actual driving process through the platform to obtain driving data to analyze driver behavior. It effectively solved the problems of limited teaching funds and student safety management during the COVID-19. The platform can meet the diverse learning needs of students, and enrich the teaching mode and assessment method of the course. Finally, through the design of driving style analysis experiment and satisfaction survey, the usability of the experimental teaching platform in practical teaching has been verified.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120948914","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}
引用次数: 0
Time-frequency Analysis of Non-stationary Signal Based on Sliding Mode Singular Spectrum Analysis and Wigner-ville Distribution 基于滑模奇异谱分析和Wigner-ville分布的非平稳信号时频分析
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/ICISE-IE58127.2022.00051
Zhe Li, Shi-bai Sun, Yichuan Wang, Weiguo Dai, Jiaxing Qiu, Z. Liu
{"title":"Time-frequency Analysis of Non-stationary Signal Based on Sliding Mode Singular Spectrum Analysis and Wigner-ville Distribution","authors":"Zhe Li, Shi-bai Sun, Yichuan Wang, Weiguo Dai, Jiaxing Qiu, Z. Liu","doi":"10.1109/ICISE-IE58127.2022.00051","DOIUrl":"https://doi.org/10.1109/ICISE-IE58127.2022.00051","url":null,"abstract":"In order to obtain better performance of time-frequency representation(TFR) in non-stationary signal processing using Wigner-Ville distribution(WVD), an adaptive time-frequency analysis method based on combination of sliding mode singular spectrum analysis(SM-SSA) and Wigner-Ville distribution(SM-SSA-WVD) was proposed. Through mode decomposition of original signal by SM-SSA and linear superposition of TFRs for each mode by WVD, the cross terms are effectively suppressed, which obtaining higher adaptive ability and energy concentration of WVD results comparing to the traditional WVD methods. The proposed cross-term free method is applied to analyze several kinds of simulated clean and noisy multi-component modulated signals. The TFRs of the proposed method work better in restraining the cross terms of WVD than some other adaptive decomposition methods, thus obtaining higher time-frequency resolution and noise robustness.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"5 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132813472","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}
引用次数: 0
Research on Learning Resource Recommendation Algorithm Based on User Demand Evolution 基于用户需求演化的学习资源推荐算法研究
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00046
Chong Wang, Yixuan Zhao, Ziyao Wang
{"title":"Research on Learning Resource Recommendation Algorithm Based on User Demand Evolution","authors":"Chong Wang, Yixuan Zhao, Ziyao Wang","doi":"10.1109/icise-ie58127.2022.00046","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00046","url":null,"abstract":"With the continuous development of online education platforms, a vast number of learning resources have brought challenges to users’ choices. It is feasible to introduce the recommendation algorithms in e-commerce directly into the online learning platforms to recommend courses for learners. However, they often ignore the dynamic evolution of learning needs, resulting in partially ineffective recommendations. To solve this problem, we propose a method called LR-DE, which takes the change rule of user needs into account. It first exploits gated recurrent units to extract the users’ learning interest states at each time step. Then, to address the phenomenon of interest incoherence in behavior sequences, we introduce the attention mechanism to upgrade the update gate in GRUs structure and construct a new network structure called AUGRU. At the same time, the bilinear feature interaction is used to calculate the correlation scores between the click histories and the candidates so as to capture the co-occurrence relation between the two courses. Experimental results show that our method is superior to the existing methods in learning resource recommendation tasks and can effectively improve recommendation accuracy.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792634","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}
引用次数: 0
Fingerprint Recognition Scheme Based on Deep Learning and Homomorphic Encryption 基于深度学习和同态加密的指纹识别方案
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00029
Jianhong Zhang, Hongwei Su, Yue Li, Haowei Yang
{"title":"Fingerprint Recognition Scheme Based on Deep Learning and Homomorphic Encryption","authors":"Jianhong Zhang, Hongwei Su, Yue Li, Haowei Yang","doi":"10.1109/icise-ie58127.2022.00029","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00029","url":null,"abstract":"In fingerprint identification, fingerprint features, as a kind of biological feature, are unique, universal, and irrevocable. If it is maliciously attacked, leaked, and tamperedwith, the security of users’ personal fingerprint privacy information will be faced with huge challenges. This paper proposes a fingerprint feature recognition privacy security scheme based on deep learning convolutional neural network and homomorphic encryption algorithm to solve this problem. In this scheme, we add fingerprint classification algorithm to CNN(Convolutional Neural Network) for efficient fingerprint classification and feature extraction. In addition, the BFV homomorphic encryption algorithm is used to encrypt fingerprint feature data and perform matching operations in the ciphertext domain, and fingerprint feature ciphertext database is built to achieve quickly search and matching of feature ciphertext. Finally, we adopt the national secret SM4 and the national secret SM9 algorithms to improve the security of fingerprint signature ciphertext transmission and the ability to resist malicious attacks. The experimental results show that the scheme considers the accuracy of fingerprint identification and overall efficiency and improve the security of fingerprint feature data transmission, storage, and comparison.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481101","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}
引用次数: 0
Design and Implementation of English Grammar Error Correction System Based on Deep Learning 基于深度学习的英语语法纠错系统的设计与实现
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00023
Xuefei Xu
{"title":"Design and Implementation of English Grammar Error Correction System Based on Deep Learning","authors":"Xuefei Xu","doi":"10.1109/icise-ie58127.2022.00023","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00023","url":null,"abstract":"At present, our English error correction algorithm is slightly general, the error correction ability is also very limited, and its accuracy rate is also low, so it is very necessary to improve. This article will further explore the problem of syntax error correction, and the corresponding algorithm model will also be proposed. Based on deep learning technology to improve the error correction rate of English grammar, put forward the corresponding solution, put forward the Sep2seq-based English grammar error correction system model, and carry out a series of rectifications to improve its efficiency and accuracy. The basic architecture of TensorFLOW is used to implement the model, and the success of the error correction algorithm model is proved, which brings great improvement and progress to the success of error correction.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"20 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909980","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}
引用次数: 1
Design of interactive multihidden layer neural network for online English teaching 面向在线英语教学的交互式多隐层神经网络设计
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00042
Liyuan Wang
{"title":"Design of interactive multihidden layer neural network for online English teaching","authors":"Liyuan Wang","doi":"10.1109/icise-ie58127.2022.00042","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00042","url":null,"abstract":"In online English teaching, due to the lack of quick understanding of the relevant requirements and resulting in low learning efficiency, so the problem of human-computer interaction in online English teaching is a big problem. The hardware system of the English online interactive teaching platform, the English online learning information collection module, the student learning module, the design of the English online learning interface, adopts the structure based on the multi-hidden neural network, extracts the user information from the data, realizes the intelligent requirements of learning, and gives the corresponding feedback. Through the analysis of the performance and performance of the algorithm, it is proved that the algorithm has good practical value in the storage state and interactivity.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131074684","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}
引用次数: 0
Design and Implementation of Online Edit and Storage System for College High-Quality Video Resource Based on 4K 基于4K的高校高质量视频资源在线编辑存储系统的设计与实现
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00024
Jing Liang, Shuxiao Xie, Yumeng Xie
{"title":"Design and Implementation of Online Edit and Storage System for College High-Quality Video Resource Based on 4K","authors":"Jing Liang, Shuxiao Xie, Yumeng Xie","doi":"10.1109/icise-ie58127.2022.00024","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00024","url":null,"abstract":"In recent years, the development of information technology and computer technology has profoundly changed society at an unprecedented rate. Video technology has also experienced the evolution from analog to standard digital definition and Ultra High-Definition(4K/8K). The application of 4K Ultra High-Definition technology in High-Quality teaching courses will be the tendency in the future, and major colleges and universities are consistently stepping up the pace of building a 4K High-Quality educational resource environment. This paper discusses the development of 4K Ultra High-Definition digital technology. It focuses on designing and constructing an online editing and storage system for 4K High-Quality video teaching resources in colleges and universities. This system is High-bandwidth real-time sharing, high-speed online editing, and high-security storage management, which have promoted the construction of High-Quality video teaching and learning resources and improved informatization teaching.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131711325","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}
引用次数: 0
Self-selected generation retrieval framework based on topic keyword model 基于主题关键词模型的自选生成检索框架
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00026
Xinying Lv, Hao Zhang
{"title":"Self-selected generation retrieval framework based on topic keyword model","authors":"Xinying Lv, Hao Zhang","doi":"10.1109/icise-ie58127.2022.00026","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00026","url":null,"abstract":"This paper presents a self-iterating framework implemented in a retrieval dialogue scenario that captures the one-to-many mapping relationships in multiple rounds of dialogue and retrieves multiple conversational contexts from the dialogue corpus that are both semantically diverse and logically coherent. The training model of the framework also allows for the selection and optimisation of individual models in the framework to automatically expand the dialogue corpus to form a one-to-many dialogue dataset.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134086435","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}
引用次数: 0
Sports analysis in the era of big data: a perception utilizing SAP HANA Database 大数据时代的体育分析:利用SAP HANA数据库的感知
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00014
Xuan Wu
{"title":"Sports analysis in the era of big data: a perception utilizing SAP HANA Database","authors":"Xuan Wu","doi":"10.1109/icise-ie58127.2022.00014","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00014","url":null,"abstract":"Almost every aspect of our lives has been deeply influenced by data explosion, with massive datasets that can be used for analysis. Nowadays, big data has become one of the hot issues in the IT field. The most significant thing is how to process and analyze data. Big data can be applied to various fields, such as enterprise, banking, education, security, etc, to make wise decisions and improve efficiency. The sports industry, especially athlete, is closely connected with large numbers of data and with-out big data, it could not be meaningfully handled, for example the pseudocode for analyzing athlete’s recovery %. This article will majorly explore how athletes and sports industry influenced by big data, combined with SAP HANA Database.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538849","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}
引用次数: 0
Development of VisualC++, a multimedia speech teaching system visual c++多媒体语音教学系统的开发
2022 3rd International Conference on Information Science and Education (ICISE-IE) Pub Date : 2022-11-01 DOI: 10.1109/icise-ie58127.2022.00021
Wenting Wu
{"title":"Development of VisualC++, a multimedia speech teaching system","authors":"Wenting Wu","doi":"10.1109/icise-ie58127.2022.00021","DOIUrl":"https://doi.org/10.1109/icise-ie58127.2022.00021","url":null,"abstract":"The informationization has brought the non-negligible impact to the traditional vocal music education circle. In order to realize the optimization and reform of the vocal music profession, the digital and informationized service technology must be introduced into the vocal music teaching. In modern vocal music class, multimedia technology is the most common auxiliary teaching means, but there is no software suitable for vocal music at present. Therefore, this paper puts forward a set of VisualC++ as the core of the vocal music class development of new ideas. The implementation of the program not only increases the intuitive and interactive vocal music class, but also increases the interest of the class.","PeriodicalId":376815,"journal":{"name":"2022 3rd International Conference on Information Science and Education (ICISE-IE)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115154240","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}
引用次数: 0
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