International Symposium on Computer Engineering and Intelligent Communications最新文献_第10页

Design of wideband circularly-polarized double-layer microstrip antenna sub-array 宽带圆极化双层微带天线子阵列的设计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660786

Luoning Gan, Jinjia Ji, Shangping Kong, Zhaojun Yang

引用次数: 1

Spare parts demand forecasting based on ARMA model 基于ARMA模型的备件需求预测

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661048

X. Ren, Xiao-Fei Zhang

引用次数: 0

Application of natural language processing technology in text classification 自然语言处理技术在文本分类中的应用

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661012

Tianbing Li

引用次数: 0

Research on handwriting recognition method based on machine learning 基于机器学习的手写识别方法研究

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660996

Ji Qi, Haitao Yang, Zhuo Kong

引用次数: 0

Application analysis of cryptography in blockchain 密码学在区块链中的应用分析

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2661094

Haonan Jiang

{"title":"Application analysis of cryptography in blockchain","authors":"Haonan Jiang","doi":"10.1117/12.2661094","DOIUrl":"https://doi.org/10.1117/12.2661094","url":null,"abstract":"The purpose of blockchain technology is to solve the trust problem between people or institutions and make the communication data and network communication of the Internet. In the past, cryptography lost money. Passwords are used to protect data, and the cost is relatively high. But with blockchain, cryptography becomes valuable. The formation of blockchain has made new contributions to cryptography and done something we could not do in the past. With blockchain, cryptography is \"valuable\". In fact, there are many cryptographic primitives used in blockchain, such as hash, digital signature, and etc. Moreover, digital signature not only uses standard digital signature, but also uses ring signature, connectable ring signature, one-time signature, borromer ring signature, multi signature, homomorphic encryption, homomorphic commitment, accumulator, zero knowledge proof, etc. As well as the recently popular password signature toss. As mentioned above, the popularity of blockchain technology will completely break the centralized pattern, indicating the advent of a new era in the future - Web3.0. This paper focuses on the application of encryption technology in blockchain and expounds in detail the applications of such as hash function and ring signature in blockchain. This study analyzes the application of cryptography in blockchain and discusses to the development of encryption technology in the future.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108598","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 e-commerce website based on Django 基于Django的电子商务网站设计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660790

Chang Li, Xin Min, Fen Zhang

引用次数: 0

A fault prognosis method for pressure transmitter based on artificial neural network 基于人工神经网络的压力变送器故障预测方法

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660987

Ce Han, F. Yuan, N. Zhang, Songting Wang

引用次数: 0

Design of upper limb rehabilitation evaluation system based on deep learning 基于深度学习的上肢康复评估系统设计

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660914

Le Ding, Haoyu Wang, Chao Chen, Jia-yu Xu, Pingping Zhou

引用次数: 0

Recognition of Parkinson's disease and Parkinson's dementia based on gait analysis and machine learning 基于步态分析和机器学习的帕金森病和帕金森痴呆的识别

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660808

Shuai Tao, Yi Wang, Huaying Cai, Zeping Lv, Liwen Kong, W. Lv

{"title":"Recognition of Parkinson's disease and Parkinson's dementia based on gait analysis and machine learning","authors":"Shuai Tao, Yi Wang, Huaying Cai, Zeping Lv, Liwen Kong, W. Lv","doi":"10.1117/12.2660808","DOIUrl":"https://doi.org/10.1117/12.2660808","url":null,"abstract":"Parkinson's disease (PD) is a common neurodegenerative disease, with a high probability of Parkinson's disease dementia (PDD) in patients with intermediate and advanced PD. Gait disorders and cognitive disorders are common symptoms of PD patients and PDD patients. It is of great clinical significance to identify healthy elderly (HC), PD patients and PDD patients with gait characteristics under cognitive tasks. This study found that stride length, toe-off angle and heel-strike angle are important gait markers for identifying HC and PD as well as HC and PDD. Gait characteristics of multiple 7 task gait consumption can preliminarily identify PD and PDD. The gait features under multiple 7 task were used as input variables of machine learning, and the classification model was modeled by training random forest (RF) and support vector machine (SVM), and the accuracy of machine learning classification was evaluated by using the five-fold cross-validation method. The results found that the classification accuracy of all machine learning can reach more than 80%, and RF has a better classification effect. To further improve the recognition accuracy, this paper introduces recursive feature elimination (RFE) for important feature selection. By screening important features, it is found that the accuracy and AUC value of machine learning are improved to a certain extent. The highest classification accuracy of HC and PD is 91.25%, and the AUC value is 0.9127. The classification accuracy of HC and PDD was up to 97.5%, and the AUC value was 0.95. These findings have important application value for clinical diagnosis of PD and PDD. It also paves the way for a better understanding of the utility of machine learning techniques to support clinical decision-making.","PeriodicalId":220312,"journal":{"name":"International Symposium on Computer Engineering and Intelligent Communications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133501412","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

Chinese community topic classification method based on graph model 基于图模型的中文社区话题分类方法

International Symposium on Computer Engineering and Intelligent Communications Pub Date : 2023-02-02 DOI: 10.1117/12.2660992

Shuang Zhang, Xi Wang, Rencheng Sun, He Gao

引用次数: 0