2022 11th International Conference of Information and Communication Technology (ICTech))最新文献

Towards Better Pedestrian Detection Using Multi-Scale CSPN and Dual Attention 基于多尺度CSPN和双重注意的行人检测研究

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00096

Xinxin Huang, Zhenyu Yin, Chao Fan

引用次数: 0

Modeling of Five-Band High efficiency Rectifier for RF Energy Acquisition 射频能量采集五波段高效整流器建模

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00105

Yang-Hoe Song, Chao-Lung Huang, Zixuan Wang, Jiayi Zhang

引用次数: 0

Intelligent Access Control System Based on Voiceprint and Voice Technology 基于声纹和语音技术的智能门禁系统

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00098

Peng Wang, Juanjuan Li, Hao Wang, Huaizhen Chen, Junjie Cao, Yi Xu, Junyue He

{"title":"Intelligent Access Control System Based on Voiceprint and Voice Technology","authors":"Peng Wang, Juanjuan Li, Hao Wang, Huaizhen Chen, Junjie Cao, Yi Xu, Junyue He","doi":"10.1109/ICTech55460.2022.00098","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00098","url":null,"abstract":"This system used STM32H750XBH6 as the main control, and ART -Pi multimedia expansion board equipped with ILI9488 capacitive touch screen, WM8988 audio chip and GC0328C camera. It realizes recording, recognition, display, imposter capture and telescopic rod connection for door lock control. Based on convolutional neural network (CNN) and STM32 Cube. AI toolkit, voiceprint model was built and deployed to STM32H750XBH6. Combining Mel-Frequency Cepstral Coefficients (MFCC) and DTW algorithm, voice recognition function was realized. Through dual authentication of voiceprint verification and voice recognition, the system guaranteed high security. What is more, the system was equipped with a WIFI module, and the administrator can log in to the Onenet website to view the access control information. If there are three consecutive recognition errors, the system automatically capture the person and save the fake authentication certificate. After several improvements, the system can operate normally. The accuracy rate of voiceprint recognition and voice recognition were 97.83% and 96.00% respectively and the overall accuracy rate was 93.50%. Compared with traditional password access and card access, the system did not have problems of leak and lose. It provided users with high-security, true-intention, low-cost, and weak-privacy authentication services.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122845312","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

Tool Condition Monitoring Using Wavelet Analysis with Savitzky-Golay Filter 基于Savitzky-Golay滤波的小波分析工具状态监测

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00097

Meihong Li, Li Lv, Bihui Yu

引用次数: 0

2022 11th International Conference of Information and Communication Technology ICTech 2022 第十一届信息与通信技术国际会议ICTech 2022

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ictech55460.2022.00002

引用次数: 0

State Recognition Method of Heat Treatment Process Based on PLR 基于PLR的热处理过程状态识别方法

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00100

Dawei Fan, Yi Hu, Yanxin Li, Weiran Liu

引用次数: 0

A Review on The Photonic Quantum Information Processing Technology 光子量子信息处理技术综述

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00030

Xinyi Liang

{"title":"A Review on The Photonic Quantum Information Processing Technology","authors":"Xinyi Liang","doi":"10.1109/ICTech55460.2022.00030","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00030","url":null,"abstract":"At present, the human society is stepping into the era of the interconnection of everything, every moment there are massive data needs to be transmitted and processed. With the massive growth of data information, people put forward a higher demand for the information processing ability of network, so the photon information processing technology was put forward. Photonic information processing technology refers to the technology of processing optical information directly in the optical domain. It breaks through the bottleneck of bandwidth and rate of traditional electrical information processing, and has become a solution of ultra-high speed information processing. In addition, the latest technology makes quantum information processing technology possible, which provides a promising platform for applications and research in a variety of contexts. This paper begins with photon generation and transitions from photon information processing technology to quantum information processing technology. The purpose of this paper is to provide the reader with a comprehensive review of the field, showing a balance between theoretical and experimental technical results.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128597876","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 High-Speed Data Retrieval Model on Blockchain 基于区块链的高速数据检索模型

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00029

Jingang Yu, Yongkang Hou, Shu Li, Zhifeng Wen

{"title":"A High-Speed Data Retrieval Model on Blockchain","authors":"Jingang Yu, Yongkang Hou, Shu Li, Zhifeng Wen","doi":"10.1109/ICTech55460.2022.00029","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00029","url":null,"abstract":"Blockchain is also known as distributed ledger. All full nodes connected to the blockchain network participate in the maintenance of the data in the ledger. It is a technology in many fields such as computer science, cryptography, distributed storage, and finance. Industrial and academic research on blockchain technology has achieved great results, including research on blockchain networks, consensus mechanisms, and smart contracts. However, limited by the data storage mode and the characteristics of distributed storage at the bottom of the blockchain, there are still problems that need to be solved urgently, such as the single retrieval function and the low retrieval rate of the data retrieval on the blockchain. We focused on this problem, and based on the built-in index and external data warehouse method, we proposed a high-speed data retrieval model on blockchain. The model consists of three parts: a blockchain network with improved index storage, a data processing cluster, and application layer services. The new blockchain network improves the organization of transaction data in the traditional blockchain system, and designs a data structure suitable for high-speed retrieval to organize transaction data; the data processing cluster is responsible for ensuring data consistency and in accordance with high efficiency The synchronization strategy is to synchronize the data on the chain to the relational data warehouse under the chain; the application layer service encapsulates the rich query functions supported by the relational database, and finally provides services to the outside in the form of HTTP, RPC, etc. Experimental results show that the model can effectively expand the blockchain system in terms of query efficiency and query functions, improve the query rate of data on the blockchain, and meet people's needs for blockchain query functions.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"16 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488015","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: 2

Safety Helmet Wearing Recognition Based on Improved YOLOv5 基于改进YOLOv5的安全帽佩戴识别

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00099

Weiran Liu, Yi Hu, Dawei Fan

{"title":"Safety Helmet Wearing Recognition Based on Improved YOLOv5","authors":"Weiran Liu, Yi Hu, Dawei Fan","doi":"10.1109/ICTech55460.2022.00099","DOIUrl":"https://doi.org/10.1109/ICTech55460.2022.00099","url":null,"abstract":"In the industrial production of digital workshops, workers need to wear safety helmets at all times. However, the accuracy of target detection is not high enough due to the characteristics of different light, angle of view, and people easily obstructing each other. To solve this problem, the real-time detection of helmets is realized by improving the YOLOv5 algorithm. The Dahua spherical camera is used to collect the data set, and the network is trained on the self-made data set through manual annotation. Pooling is carried out through softpool, so that it can retain more information of the feature map; meanwhile, improve the network structure of YOLOv5, add a layer of 9*9 feature layer, improve the recognition rate of the detection target, and use the DIoU loss function. According to the experimental results, the following results can be obtained. The average accuracy of the improved YoloV5algorithm in self-made data sets has improved a lot, above 97.3%. which is 4 % higher than the original algorithm, and the target detection speed is also correspondingly improved. It can effectively and real-time detect the wearing of helmets Condition.","PeriodicalId":290836,"journal":{"name":"2022 11th International Conference of Information and Communication Technology (ICTech))","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121203094","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: 2

Research Methods and Progress of Text Sentiment Analysis Based on Machine Learning 基于机器学习的文本情感分析研究方法与进展

2022 11th International Conference of Information and Communication Technology (ICTech)) Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00023

Zailong Tian

引用次数: 0