2021 International Conference on Computer Engineering and Application (ICCEA)最新文献_第5页

Long Sequence Biohashing Speech Authentication Based on Biometric Fusion and Modified Logistic Measurement Matrix 基于生物特征融合和修正Logistic测量矩阵的长序列生物哈希语音认证

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00090

Yuan Yuan-Zhang, Yi-bo Huang, De-huai Chen, Qiu-yu Zhang

{"title":"Long Sequence Biohashing Speech Authentication Based on Biometric Fusion and Modified Logistic Measurement Matrix","authors":"Yuan Yuan-Zhang, Yi-bo Huang, De-huai Chen, Qiu-yu Zhang","doi":"10.1109/ICCEA53728.2021.00090","DOIUrl":"https://doi.org/10.1109/ICCEA53728.2021.00090","url":null,"abstract":"Based on the speech content authentication algorithm, the biometric of the speech are directly constructed hash and stored it in the cloud, which is easy to cause the leakage of the biometric. At the same time, the short hash sequence generated by the biometric will lead to the lack of authentication accuracy. Aiming at the security of speech biometrics and the discrimination of hash sequences in the process of authentication, this paper proposes a long sequence BioHashing speech authentication algorithm based on biometric fusion and modified logistic measurement matrix. Firstly, the pre-processed speech extracts GFCC biometric and calculates its Euclidean distance in frequency domain and TEOCC biometric is calculated in time domain, and time-frequency biometrics are fused. Then, the modified logistic measurement matrix Schmidt controlled by the key is orthogonalized to construct the orthogonal set matrix. Finally, the biosafety template is constructed by inner product of time-frequency fused biometrics and the orthogonal set matrix and a long sequence BioHashing is generated by the biosafety template of the binarization. In authentication, the Hamming distance is used to match BioHashing. The experimental results show that when the BioHashing length is 798bits, the long sequence can effectively improve the discrimination and effectively balance the robustness and discrimination of the algorithm. At the same time, measurement matrix controlled by the key can effectively reduce the risk of biometric leakage and improve the security of the biometric in the authentication process.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115044411","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

Optimization of welding robot based on genetic algorithm and BP neural network 基于遗传算法和BP神经网络的焊接机器人优化

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00043

Jianling Xiang, HanYi Wang, Xuanyu Li, Zhibo Zheng

{"title":"Optimization of welding robot based on genetic algorithm and BP neural network","authors":"Jianling Xiang, HanYi Wang, Xuanyu Li, Zhibo Zheng","doi":"10.1109/ICCEA53728.2021.00043","DOIUrl":"https://doi.org/10.1109/ICCEA53728.2021.00043","url":null,"abstract":"Today, with the development of industrial automation, reasonable robot welding parameters are of great significance to obtain the ideal weld quality. It not only enables a stricter guarantee of the weld quality, but also greatly improves the production efficiency. Firstly, after consulting literature and experimental practice on the welding process, the whole robot welding process and the key influencing factors on the welding seam quality are analyzed in detail. Secondly, the genetic algorithm is used in section 4 to optimize the BP neural network to optimize the parameters of the identified welding seam quality reference index-welding time, which realizes the effective measurement of welding time with less experimental data, and enhances the local search ability of the algorithm. Finally, the optimized results are obtained. The optimal welding time is 218.0899s under the data of five layers of currents of 341A, 348A, 345A, 345A, and 345A, due to the welding time of the conventional equal area model. It can be concluded that the BP neural network algorithm optimized by the genetic algorithm is used to optimize the parameters of the welding robot.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128409373","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

Short-term wind power prediction of wind farms based on LSTM+NARX neural network 基于LSTM+NARX神经网络的风电场短期风电功率预测

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00035

Zunyi Xu, Xuran Zhang

引用次数: 0

[Title page i] [标题页i]

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/iccea53728.2021.00001

引用次数: 0

Design of Interactive Computer Algorithm Learning Platform : Taking the visual programming tool “Progressive Blockly” as an example 交互式计算机算法学习平台的设计:以可视化编程工具“Progressive block”为例

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00045

Zhenghua Xia, Baokun Hu, W. Diao, Yuqian Huang

引用次数: 2

Extraction and Analysis of Sub-networks of Complex Networks-Based on Node Importance 基于节点重要性的复杂网络子网络提取与分析

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00021

Jia Sun, Jianbo Zhang

引用次数: 0

Application and improvement of Knowledge Graph in Literature Management in the Field of Information Communication 知识图谱在信息传播领域文献管理中的应用与改进

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00089

Wang Huaxiao, Zhang Yani, Wang Jingke, Jin Li

引用次数: 0

EEG signal feature reduction and channel selection method in hand gesture recognition BCI system 手势识别BCI系统中脑电信号特征还原与信道选择方法

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00062

Yucheng Wang, G. Wang, Yongzhao Zhou, Zhaochun Li, You Li

引用次数: 2

Tactic Technical Performance Analysis of Missile Based on Set Pair Method 基于集对方法的导弹战术技术性能分析

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00076

Ma Peibei, Ji Jun, Sui Jiangbo, Sun Mingwei

引用次数: 0

Study on the Application of Educational APP in Elementary schools in Southern Xinjiang of China 南疆地区小学教育类APP应用研究

2021 International Conference on Computer Engineering and Application (ICCEA) Pub Date : 2021-06-01 DOI: 10.1109/ICCEA53728.2021.00093

Yanling Hu, Bin Liu, Liqiao Nong

{"title":"Study on the Application of Educational APP in Elementary schools in Southern Xinjiang of China","authors":"Yanling Hu, Bin Liu, Liqiao Nong","doi":"10.1109/ICCEA53728.2021.00093","DOIUrl":"https://doi.org/10.1109/ICCEA53728.2021.00093","url":null,"abstract":"In view of the problems existing in Chinese teaching in primary schools in ethnic minority areas of southern Xinjiang in China, teachers make full use of the App of primary schools in teaching. Students can learn new words and texts through animation, and read the text with standard pronunciation, so as to achieve high quality preview of new knowledge before class. Students can practice by themselves through various forms of exercises to consolidate, expand and improve what they learn in class after class; Teachers design teaching activities according to students’ learning dynamic, and students’ learning situation is timely fed back by teachers’ intelligent app before class. It is not only conducive to improving the effectiveness of classroom teaching but also can solve the problem that primary school students in ethnic minority areas of southern Xinjiang have no guardian at home. By use of the educational APP, teaching and learning can be happened in and out of the classroom and the intelligent system can become an effective tool to stimulate students’ self-initiative in learning. The educational APP is also a partner for students’ independent learning. It’s a helper for students’ self-evaluate and it’s good for teachers to keep track of students’ learning dynamic situation in time. In a word, it’s a powerful tool to build an efficient classroom teaching.","PeriodicalId":325790,"journal":{"name":"2021 International Conference on Computer Engineering and Application (ICCEA)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115878034","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