电脑和通信(英文)最新文献_第4页

New Ecg Signal Compression Model Based on Set Theory Applied to Images 基于集理论的心电信号图像压缩新模型

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.118003

Ivan Basile Kabiena, Eric Michel Deussom Djomadji, E. Tonyé

引用次数: 0

Ultrasonic Sensor-Based Embedded System for Vehicular Collusion Detection and Alert 基于超声传感器的嵌入式车辆碰撞检测与报警系统

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.118004

J. Essien, Calistus Chimezie

引用次数: 1

Research on Automatic Elimination of Laptop Computer in Security CT Images Based on Projection Algorithm and YOLOv7-Seg 基于投影算法和YOLOv7-Seg的安全CT图像中笔记本电脑自动消除研究

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.119001

Fei Wang, Baosheng Liu, Yijun Tang, Lei Zhao

{"title":"Research on Automatic Elimination of Laptop Computer in Security CT Images Based on Projection Algorithm and YOLOv7-Seg","authors":"Fei Wang, Baosheng Liu, Yijun Tang, Lei Zhao","doi":"10.4236/jcc.2023.119001","DOIUrl":"https://doi.org/10.4236/jcc.2023.119001","url":null,"abstract":"In civil aviation security screening, laptops, with their intricate structural composition, provide the potential for criminals to conceal dangerous items. Presently, the security process necessitates passengers to individually present their laptops for inspection. The paper introduced a method for laptop removal. By combining projection algorithms with the YOLOv7-Seg model, a laptop’s three views were generated through projection, and instance segmentation of these views was achieved using YOLOv7-Seg. The resulting 2D masks from instance segmentation at different angles were employed to reconstruct a 3D mask through angle restoration. Ultimately, the intersection of this 3D mask with the original 3D data enabled the successful extraction of the laptop’s 3D information. Experimental results demonstrated that the fusion of projection and instance segmentation facilitated the automatic removal of laptops from CT data. Moreover, higher instance segmentation model accuracy leads to more precise removal outcomes. By implementing the laptop removal functionality, the civil aviation security screening process becomes more efficient and convenient. Passengers will no longer be required to individually handle their laptops, effectively enhancing the efficiency and accuracy of security screening.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135595411","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 Scheme for Separate Training of Deep Learning-Based CSI Feedback Autoencoders 一种基于深度学习的CSI反馈自编码器分离训练新方案

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.119009

Lusheng Xi, Yanan Yu, Jianzhong Yi, Chao Dong, Kai Niu, Qiuping Huang, Qiubin Gao, Yongqiang Fei

{"title":"A Novel Scheme for Separate Training of Deep Learning-Based CSI Feedback Autoencoders","authors":"Lusheng Xi, Yanan Yu, Jianzhong Yi, Chao Dong, Kai Niu, Qiuping Huang, Qiubin Gao, Yongqiang Fei","doi":"10.4236/jcc.2023.119009","DOIUrl":"https://doi.org/10.4236/jcc.2023.119009","url":null,"abstract":"In this paper, we introduce a novel scheme for the separate training of deep learning-based autoencoders used for Channel State Information (CSI) feedback. Our distinct training approach caters to multiple users and base stations, enabling independent and individualized local training. This ensures the more secure processing of data and algorithms, different from the commonly adopted joint training method. To maintain comparable performance with joint training, we present two distinct training methods: separate training decoder and separate training encoder. It’s noteworthy that conducting separate training for the encoder can pose additional challenges, due to its responsibility in acquiring a compressed representation of underlying data features. This complexity makes accommodating multiple pre-trained decoders for just one encoder a demanding task. To overcome this, we design an adaptation layer architecture that effectively minimizes performance losses. Moreover, the flexible training strategy empowers users and base stations to seamlessly incorporate distinct encoder and decoder structures into the system, significantly amplifying the system’s scalability.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135838120","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

Intelligent Sign Multi-Language Real-Time Prediction System with Effective Data Preprocessing 有效数据预处理的智能手语多语言实时预测系统

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.1110008

Doaa E. Elmatary, Doaa M. Maher, Areeg Tarek Ibrahim

{"title":"Intelligent Sign Multi-Language Real-Time Prediction System with Effective Data Preprocessing","authors":"Doaa E. Elmatary, Doaa M. Maher, Areeg Tarek Ibrahim","doi":"10.4236/jcc.2023.1110008","DOIUrl":"https://doi.org/10.4236/jcc.2023.1110008","url":null,"abstract":"A multidisciplinary approach for developing an intelligent sign multi-language recognition system to greatly enhance deaf-mute communication will be discussed and implemented. This involves designing a low-cost glove-based sensing system, collecting large and diverse datasets, preprocessing the data, and using efficient machine learning models. Furthermore, the glove is integrated with a user-friendly mobile application called “Life-sign” for this system. The main goal of this work is to minimize the processing time of machine learning classifiers while maintaining higher accuracy performance. This is achieved by using effective preprocessing algorithms to handle noisy and inconsistent data. Testing and iterating approaches have been applied to various classifiers to refine and improve their accuracy in the recognition process. Additionally, the Extra Trees (ET) classifier has been identified as the best algorithm, with results proving successful gesture prediction at an average accuracy of about 99.54%. A smart optimization feature has been implemented to control the size of data transferred via Bluetooth, allowing for fast recognition of consecutive gestures. Real-time performance has been measured through extensive experimental testing on various consecutive gestures, specifically referring to Arabic Sign Language (ArSL). The results have demonstrated that the system guarantees consecutive gesture recognition with a lower delay of 50 milliseconds.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135212199","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 Smart Home Energy Monitoring System Based on Internet of Things and Inter Planetary File System for Secure Data Sharing 基于物联网和星际文件系统的安全数据共享智能家居能源监测系统

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.1110005

Aytun Onay, Gökhan Ertürk, Cem Kıranlı, Hande Ateş, Yunus E. Isıkdemir

{"title":"A Smart Home Energy Monitoring System Based on Internet of Things and Inter Planetary File System for Secure Data Sharing","authors":"Aytun Onay, Gökhan Ertürk, Cem K&imath;ranl&imath;, Hande Ate&scedil;, Yunus E. Is&imath;kdemir","doi":"10.4236/jcc.2023.1110005","DOIUrl":"https://doi.org/10.4236/jcc.2023.1110005","url":null,"abstract":"Energy demand will continue to rise as a result of predicted population growth. In this work, a user-friendly home energy monitoring system based on IoT is described, which is capable of collecting, analyzing, and displaying data. Users register their sensors and devices on the monitoring platform. PostgreSQL and Elasticsearch databases are used to store the resulting measurements. In a smart home, the wireless sensor ACS712 was used to monitor the flow of electricity (current and voltage) for a household device. The user can share data about electricity consumption and costs with a third party via the private IPFS (InterPlanetary File System) network. A third party can download all the energy consumption data for a device or many devices from the platform for 1 day, 3 months, 6 months, and 1 year. The studies on the development of energy-efficient technology for home devices benefit greatly from the gathered data. For security in the system, it is preferred to run Keyrock Idm, Wilma Pep Proxy, and Orion Context Broker in HTTPS mode, and MQTTS is used to retrieve sensor data. The experimental results showed that the energy monitoring system accurately records voltage, current, active power, and the total amount of power used and offers low-cost solutions to the users using household devices in a day.","PeriodicalId":67799,"journal":{"name":"电脑和通信(英文)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135158163","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

Evaluation of the Global Horizontal Irradiation (GHI) on the Ground from the Images of the Second Generation European Meteorological Satellites MSG 欧洲第二代气象卫星MSG图像对地面全球水平辐射的评价

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.111001

Ahmed El Ouiqary, E. M. Kheddioui, M. F. Smiej

引用次数: 0

Ranking of Web Pages in a Personalized Search 个性化搜索中网页的排名

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.112007

M. Ghaly

引用次数: 0

Adaptive Recurrent Iterative Updating Stereo Matching Network 自适应循环迭代更新立体匹配网络

电脑和通信(英文) Pub Date : 2023-01-01 DOI: 10.4236/jcc.2023.113007

Qun Kong, Liye Zhang, Zhuang Wang, Mingkai Qi, Yegang Li