2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)最新文献_第7页

Research on Improved AffNet Image Feature Matching Algorithm 改进AffNet图像特征匹配算法的研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00120

Xiangming Qi, Wang Yali

引用次数: 0

Intrusion detection model based on security knowledge in online network courses 基于网络在线课程安全知识的入侵检测模型

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00073

Songjie Gong

{"title":"Intrusion detection model based on security knowledge in online network courses","authors":"Songjie Gong","doi":"10.1109/ISAIEE57420.2022.00073","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00073","url":null,"abstract":"Intrusion detection is important in the defense in depth network security framework and a hot topic in computer network security in recent years. In this paper, an effective method for anomaly intrusion detection with low overhead and high efficiency is presented and applied to monitor the abnormal behavior of processes. The method is based on rough set theory and capable of extracting a set of detection rules with the minimum size to form a normal behavior model from the record of system call sequences generated during the normal execution of a process. Based on the network security knowledge base system, this paper proposes an intrusion detection model based on the network security knowledge base system, including data filtering, attack attempt analysis and situation assessment engine. In this model, evolutionary self - organizing mapping is used to discover multi - target attacks of the same origin; The association rules obtained by time series analysis method are used to correlate online alarm events to identify complex attacks scattered in time; Finally, the corresponding evaluation indexes and corresponding quantitative evaluation methods are given for host level and LAN system level threats respectively. Compared with the existing IDS, this model has a more complete structure, richer knowledge available, and can more easily find cooperative attacks and effectively reduce the false positive rate.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130260415","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

Automatic Generation Technology of Table Structure for Software Development Based on Oracle Database System 基于Oracle数据库系统的软件开发中的表结构自动生成技术

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00077

Xiaohui Peng, Shuang Wang, Yu Zhang

引用次数: 0

Depthwise Separable Residual Network for Remote Sensing Image Scene Classification 基于深度可分离残差网络的遥感图像场景分类

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00115

Lv Huanhuan, Peng Guofeng, Zhang Hui

引用次数: 0

Xgboost Algorithm Based Research and Modeling of Mate Selection Psychology of Highly Educated Female 基于Xgboost算法的高学历女性择偶心理研究与建模

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00099

Mingzhen Xu, Yuqing Zhang

引用次数: 0

English Smart Classroom Teaching Strategies based on Internet Technology 基于互联网技术的英语智能课堂教学策略

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00143

Xiuyun Wang

引用次数: 0

Reform of Computer Science and Technology Professional Talent Training Model Based on OBE Concept—Taking Chongqing College of Mobile Telecommunications as an Example 基于OBE理念的计算机科学与技术专业人才培养模式改革——以重庆移动通信学院为例

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00101

Ling Zhang, Yunjuan Cai

引用次数: 0

Design and Implementation of Student Hierarchical Management Evaluation System Based on BP Neural Network 基于BP神经网络的学生分级管理评价系统的设计与实现

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00130

Ke Wang

{"title":"Design and Implementation of Student Hierarchical Management Evaluation System Based on BP Neural Network","authors":"Ke Wang","doi":"10.1109/ISAIEE57420.2022.00130","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00130","url":null,"abstract":"With the rapid development of smart campus construction in my country, the deep integration of information technology and education and teaching has become an inevitable trend. The phenomenon of skipping classes and failing courses has begun to appear while colleges and universities have expanded their enrollment and the number of college students has surged. Therefore, it becomes more and more important to carry out effective hierarchical management of students. Based on the relevant theoretical research of Design and Implementation of Student Hierarchical Management Evaluation System Based on BP neural network(BPNN), this paper analyzes the application of the student hierarchical management evaluation system, analyzes its mechanism, and uses the student hierarchical management evaluation system to help ensure the quality of school teaching and urge students to learn. Among them, BPNN has become one of the research hotspots in many scientific fields because of its simple structure, few training parameters and strong adaptability. This paper studies the target detection algorithm based on BPNN, and applies it to the design and implementation of the student hierarchical management evaluation system, which has important research significance and application value. The number of college participants was 74, 85, 63, 96 and 52 respectively. The corresponding recognition degrees of the hierarchical management evaluation system for students are 91.2 %, 93.8%, 90.4%, 89.5% and 92.7%, respectively. Through the data comparison, it can be seen that the students generally recognize the student hierarchical management evaluation system based on the BPNN.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122994024","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 Optimization of Machine Translation Model Based on Data Mining Algorithm 基于数据挖掘算法的机器翻译模型优化研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00087

Hong Liu

{"title":"Research on Optimization of Machine Translation Model Based on Data Mining Algorithm","authors":"Hong Liu","doi":"10.1109/ISAIEE57420.2022.00087","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00087","url":null,"abstract":"With the increasing number of Internet applications and frequent network interactions, the resources in the Internet show explosive growth. Under the impact of this wave, methods based on large-scale data, such as deep learning, have been put forward, and scholars have begun to think about many classical tasks from a new perspective. The LDA model is used to mine the topic information in the texts in parallel corpora, and the polynomial distribution of thesaurus is used to represent the topic, so as to judge the proportion of each document topic in the document collection. The specific words are obtained according to the polynomial distribution of the corresponding thesaurus of the topic by probability sampling. The monolingual corpus of the target language is processed by maximum likelihood estimation method, and the parallel corpus is taken as the training target. The monolingual corpus of the target language is estimated by importance sampling and full probability formula, and a machine English translation model is established. The estimated expected value is obtained by beam search method, so that English sentence translation can be realized. When disambiguating 2000 groups of random phrases, the correct rate of word sense disambiguation was 79.9%, and the correct rate of structure disambiguation was 85.7%, which was 8.6% and 3.9% higher than the original system respectively.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"97 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115702120","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

A Time Sensitive Network-Based Data Distribution Service Implementation Method 一种基于时间敏感网络的数据分发服务实现方法

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00040

Jianxin Ren, Manfei Zhao, Haofeng Wang, Tong Gao, Peng Yao, Zonglin Shao

引用次数: 0