2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)最新文献_第10页

Efficiency Comparison of Row-Diagonal Parity and EVENODD Encoded Check Disk Repair Algorithms 行对角奇偶校验与EVENODD编码校验盘修复算法的效率比较

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00019

Yiran Chen

{"title":"Efficiency Comparison of Row-Diagonal Parity and EVENODD Encoded Check Disk Repair Algorithms","authors":"Yiran Chen","doi":"10.1109/ISAIEE57420.2022.00019","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00019","url":null,"abstract":"The high dependence on information technology in modern society leads to the ever-increasing demand for data reliability and availability. However, the increasing size of systems and the use of cheap but less reliable components have made component failures such as disk failures more common. As a new algorithm Row-Diagonal Parity (RDP) for the propose of protecting against double disk failures. It stores all unencoded data and uses only the entire operation during construction and reconstruction to computational complexity. RDP works in individual stripe blocks commonly used in file systems, disk arrays, and databases. In the information column, use parity lines of a different slope, or slopes, to obtain a check column. The code word of an EVENODD code is placed in an array of (m-1)*(m+2), where m is a prime number, where the information is set in an array of (m-1)*m, and the last two columns are the parity information characters. Two columns of parity bits are XOR by the information bits in the same row or on the diagonal of a given slope. The layout strategy using EVENODD coding algorithm can allow two data blocks to error at the same time, which can ensure the stability of the system. It has been widely used in technologies such as RAID (Redundant Arrays of Independent Disks).A fast repair algorithm is proposed the check disk failure repair problem in distributed storage systems based on RAID 6 encoding. This paper proposed a fast repair algorithm. Through the theoretical analysis of RDP and EVENODD encoding, the node's computational encoding capability is used to transfer encoded data blocks to repair the checksum disk, which reduces the data transfer during the repair process and shortens the repair time. The theoretical analysis shows that this algorithm can significantly reduce the bandwidth resources consumed during the check disk failure repair process and improve the repair efficiency compared to traditional repair algorithms.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"14 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":"115120582","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

Analysis of Learning Mechanism of Generative Adversarial Network 生成对抗网络的学习机制分析

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00020

Yuning Zhang

引用次数: 0

Probabilistic Load Flow Using Point Estimate Method Based on Nataf Transformation for Active Distribution Network 基于Nataf变换的有功配电网概率潮流点估计方法

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00026

Youlin Bai

引用次数: 0

Promoting System for Students' Creativity Based on Optimization Algorithm 基于优化算法的学生创造力提升体系

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00128

Jingqiu Yang, Minte Fan

{"title":"Promoting System for Students' Creativity Based on Optimization Algorithm","authors":"Jingqiu Yang, Minte Fan","doi":"10.1109/ISAIEE57420.2022.00128","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00128","url":null,"abstract":"As the training object of the school, the creativity of students is related to whether the school can provide the society with talents who meet the needs of economic development and possess certain creativity. The purpose of this paper is to study the design of students' creativity-promoting systems based on optimization algorithms. Through a large number of related materials, the research status of students' creativity education and the connotation and characteristics of students' creativity are analyzed and studied, and the problems and solutions of the current students' creativity to promote informatization are learned. The promotion system of student creativity has designed and developed functional modules such as maker courses, maker activities, maker innovation works, maker information, etc. We have conducted research on students' creativity and promotion effect. On the basis of Creativity, the evaluation index system and scoring standard of creativity are established, and the optimized mathematical formula for the promotion effect of creativity is given. By calculating the creativity score of a student after using the system, the student's creativity score increased from 60 points to 69 points at the beginning, and the system can meet the needs of users.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"212 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":"122446104","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

Traffic Statistics Based on Lightweight Multi-objective Tracking Algorithm 基于轻量级多目标跟踪算法的交通统计

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00034

Taiheng Zheng, Chaoping Wang, Fengqian Sun, Haiying Liu

{"title":"Traffic Statistics Based on Lightweight Multi-objective Tracking Algorithm","authors":"Taiheng Zheng, Chaoping Wang, Fengqian Sun, Haiying Liu","doi":"10.1109/ISAIEE57420.2022.00034","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00034","url":null,"abstract":"In the field of intelligent transportation, traffic flow statistics has been an important research branch. With the continuous development of deep learning technology, there have been many algorithms applied in the field of intelligent transportation, but the existing traffic flow statistics methods have poor accuracy, are greatly affected by environmental lighting, etc., and the large amount of computing leads to high requirements for hardware equipment and other disadvantages. In this paper, we propose a lightweight multi-target tracking algorithm based on the improved YOLOv5 and DeepSORT. A new structure of self-attentive mechanism and convolutional network integration is added to the backbone network of YOLOv5, which effectively improves the accuracy of the algorithm without enhancing the original computation. In DeepSORT tracking, a light-weight network ShufflenetV2 is used instead of the original heavy identification network to reduce the amount of network computation and make the algorithm less configurable for mobile devices. The experimental results show that the proposed algorithm is highly accurate, feasible and can calculate the traffic flow in real time.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"10 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":"123186154","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 the Level Test Application System of Computer Artificial Intelligence Technology in English Education 计算机人工智能技术在英语教育中的水平测试应用系统研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00013

Chen Dan

引用次数: 0

ASC Model Based on Feature Stratification and Multichannel ECAP A- TDNN 基于特征分层和多通道ECAP的ASC模型

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00118

Ai Xin, Zhang Haitao, Zhao Shuai

{"title":"ASC Model Based on Feature Stratification and Multichannel ECAP A- TDNN","authors":"Ai Xin, Zhang Haitao, Zhao Shuai","doi":"10.1109/ISAIEE57420.2022.00118","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00118","url":null,"abstract":"The input audio signal in the acoustic scene classification(ASC) task is composed of multiple acoustic events superimposed on each other, leading to problems such as low recognition rate of complex environments and easy overfitting of the model easily. An ASC model based on feature stratification and multichannel ECAPA- TDNN is proposed to address the above problems. Firstly, the extended harmonic-percussive source separation(HPSS) technique is used to divide the log-Mel spectrogram into three components of harmonics, percussive sources and residuals, each of which contains specific types of feature data, to strip the audio signals in the superposition state. On the other hand, the ECAP A-TDNN network structure, which has performed well in the field of acoustic recognition, is applied, and a multichannel ECAP A-TDNN is proposed in combination with the group convolution technique, into which the feature components are input for the ASC task. The results show that the ASC model based on feature stratification can not only reduce the overfitting problem generated by audio overlap, but also enhance the recognition ability of the model for complex environments; moreover, ECAPA-TDNN can achieve a more continuous focus on acoustic features and improve the classification performance while maintaining the original parameter magnitude.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"2014 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":"127401549","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 Novel Recommendation Model Based on Interactive Nearest Neighbor Sessions 一种基于交互式最近邻会话的推荐模型

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00119

Xueli Shen, Yijun Liu, Xiangfu Meng

{"title":"A Novel Recommendation Model Based on Interactive Nearest Neighbor Sessions","authors":"Xueli Shen, Yijun Liu, Xiangfu Meng","doi":"10.1109/ISAIEE57420.2022.00119","DOIUrl":"https://doi.org/10.1109/ISAIEE57420.2022.00119","url":null,"abstract":"For some session recommendation algorithms, only the information in the target session is modeled, ignoring the auxiliary role of the interactive nearest neighbor sessions to the target session, resulting in the potential collaborative information is not fully utilized. Therefore,we propose a novel recommendation model based on interactive nearest neighbor sessions(ARMBINNS). Firstly,a directed current session graph (DCSG) is constructed, which focuses on the conversion transitions between frequent items in the target session. The directed current session graph is modeled by graph neural network and soft attention mechanism to generate the session representation of user preference items. Then we search the interactive nearest neighbor sessions of the target session, select items from interactive nearest neighbor sessions and construct undirected interactive nearest neighbor graph (UING) with the target session. Similarly, the undirected interactive nearest neighbor graph is modeled by graph neural network and soft attention mechanism to generate a session representation with nearest neighbor information. Finally, rich session embedding is generated by combining the two types of session representation information through the fusion gating mechanism. Through experiments, it is verified that the proposed model has better recommendation performance compared with 9 advanced recommendation methods.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"22 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":"127382141","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 Data System Data Classification Methods Based on Convolutional Neural Networks 基于卷积神经网络的数据系统数据分类方法研究

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00071

L. Yu, Xiaoxin Ru

引用次数: 0

Mask Defect Detection Algorithm Based on Improved EfficientNetV2 基于改进的EfficientNetV2的掩码缺陷检测算法

2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE) Pub Date : 2022-12-01 DOI: 10.1109/ISAIEE57420.2022.00110

Liu Lamei, Fang Junjie, Huang Huiling, Zhang Yongjian, Han Jun

引用次数: 0