Frontiers in Computing and Intelligent Systems最新文献_第8页

Research on Calculation Method of Annular Leakage Rate based on Variable Conservation Method 基于变量守恒法的环形泄漏率计算方法研究

Frontiers in Computing and Intelligent Systems Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14033

Peng Chen

引用次数: 0

SafeCross: Helping Elder People Cross the Road Timely Using Thermal Imaging and Image Recognition 安全过马路：利用热成像和图像识别技术帮助老年人及时过马路

Frontiers in Computing and Intelligent Systems Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14047

Leyan Yang

引用次数: 0

Research on LAN Networking Solution for Small and Medium-sized Enterprises Using Huawei Communication Equipment 使用华为通信设备的中小企业局域网联网解决方案研究

Frontiers in Computing and Intelligent Systems Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14034

Jiahao Li, Qiongle Zuo, Zening Bai, Wenliang Wang, Xinrui Zhang, Nan Ding

{"title":"Research on LAN Networking Solution for Small and Medium-sized Enterprises Using Huawei Communication Equipment","authors":"Jiahao Li, Qiongle Zuo, Zening Bai, Wenliang Wang, Xinrui Zhang, Nan Ding","doi":"10.54097/fcis.v5i3.14034","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.14034","url":null,"abstract":"Against the background of imported communication equipment occupying the main market in China, this paper takes the network requirements of small and medium-sized enterprises as the research object and explores the feasibility of a LAN networking scheme based on Huawei's communication equipment, aiming to improve the network performance, security, reliability, and economy of small and medium-sized enterprises. This paper first introduces the basic concepts and characteristics of LANs, as well as the network requirements and characteristics of small and medium-sized enterprises; then it introduces the main products and functions of Huawei's communication equipment, as well as its advantages and applicability in LAN networking solutions; then it elaborates on the design principles, steps, and examples of the small and medium-sized enterprise LAN networking solution based on Huawei's communication equipment; and finally, through experimental tests and data analysis, it Finally, through experimental tests and data analysis, the performance, security, reliability, and economy of the small and medium-sized enterprise LAN networking scheme based on Huawei's communication equipment are evaluated and compared, and some meaningful conclusions and recommendations are drawn.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288835","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

Volleyball Action Recognition based on Skeleton Data 基于骨架数据的排球动作识别

Frontiers in Computing and Intelligent Systems Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.14038

Zhanhao Liang, Batyrkanov Jenish Isakunovich

引用次数: 0

An Overview of Hyperspectral Image Classification by Data-driven Deep Learning 数据驱动深度学习的高光谱图像分类概述

Frontiers in Computing and Intelligent Systems Pub Date : 2023-11-05 DOI: 10.54097/fcis.v5i3.13999

Xiaochuan Yu, Mary B. Ozdemir, M. K. Joshie

{"title":"An Overview of Hyperspectral Image Classification by Data-driven Deep Learning","authors":"Xiaochuan Yu, Mary B. Ozdemir, M. K. Joshie","doi":"10.54097/fcis.v5i3.13999","DOIUrl":"https://doi.org/10.54097/fcis.v5i3.13999","url":null,"abstract":"Hyperspectral imaging (HSI) in remote sensing is gaining significant attention due to its complexity, posing challenges for conventional machine learning in achieving accurate classification. The inherent nonlinear relationship between captured spectral information and materials further complicates hyperspectral imaging. Deep learning has emerged as an effective tool for feature extraction, finding widespread applications in image processing tasks. Motivated by its success, this survey integrates deep learning into hyperspectral imaging (HSI) classification, demonstrating commendable performance. The paper systematically reviews existing literature, providing a comparative analysis of strategies. Primary challenges in HSI classification for traditional methods are outlined, emphasizing the advantages of deep learning. Our framework categorizes works into three types: spectral-feature networks, spatial-feature networks, and spectral-spatial-feature networks, offering a comprehensive review of recent achievements and diverse approaches. Considering limited training samples in remote sensing and substantial data requirements for deep networks, strategies to enhance classification performance are presented, offering valuable insights for future studies. Experiments apply representative deep learning-based classification methods to real HSIs, providing practical validation. The survey contributes to understanding the current landscape in deep learning-based HSI classification and lays a foundation for future research in this evolving field.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139288974","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

Review of Target Detection Algorithms 目标检测算法综述

Frontiers in Computing and Intelligent Systems Pub Date : 2023-07-31 DOI: 10.54097/fcis.v4i3.10736

Xu Zhou, Guojun Lin

引用次数: 1

Real-time Classifier of Multilingual Font Styles based on ResNet, SwordNet, Logistic Regression and Random Forest Algorithms 基于ResNet、SwordNet、Logistic回归和随机森林算法的多语言字体样式实时分类器

Frontiers in Computing and Intelligent Systems Pub Date : 2023-07-31 DOI: 10.54097/fcis.v4i3.10735

Yue Wu

{"title":"Real-time Classifier of Multilingual Font Styles based on ResNet, SwordNet, Logistic Regression and Random Forest Algorithms","authors":"Yue Wu","doi":"10.54097/fcis.v4i3.10735","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.10735","url":null,"abstract":"Different languages have different characters. At the same time, each character has a lot of font styles. This makes it difficult for humans to recognize different font styles for different characters. However, being able to detect and identify these font styles quickly and accurately has many important application use cases in different fields. At the same time, a large number of Internet users use web pages to query font styles. Therefore, I choose to make this real-time multilingual font style recognition algorithm. In this paper, I propose an algorithm that recognizes the input text and pictures in real time to judge the language and style of the text. It includes ResNet, SwordNet, logistic regression and random forest algorithms. The whole algorithm also calls pytesseract and Google Tesseract to realize text recognition and text positioning. I used Font Datasets used in \"Font and Calligraphy Style Recognition Using Complex Wavelet Transform\" for training. At the same time, I also built an image text recognition algorithm and generated various font styles as a data source. Based on this data, we adjusted the parameters and finally achieved an accuracy rate higher than 90%.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132654865","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 and Improvement of Authentication Schemes for Industrial Wireless Sensor Networks with Fog Computing 基于雾计算的工业无线传感器网络认证方案分析与改进

Frontiers in Computing and Intelligent Systems Pub Date : 2023-07-31 DOI: 10.54097/fcis.v4i3.10737

Yuyan Huo, Baoyuan Kang, Xinyu Zuo, Shufang Niu, Anqian Li

{"title":"Analysis and Improvement of Authentication Schemes for Industrial Wireless Sensor Networks with Fog Computing","authors":"Yuyan Huo, Baoyuan Kang, Xinyu Zuo, Shufang Niu, Anqian Li","doi":"10.54097/fcis.v4i3.10737","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.10737","url":null,"abstract":"Cloud computing enables access to needed resources from a shared pool of configurable computing resources anytime, anywhere. Cloud computing offers many benefits, such as security and reliability of data and convenience of resource sharing. But as more and more devices are accessed, the demand for network bandwidth increases and it is because cloud computing centralizes all the resources that risks are also centralized. To overcome the shortcomings of cloud computing, the concept of fog computing has been introduced. Fog computing supports high mobility and has a wide geographical distribution, it also delivers data with very low latency. However, as an extension of cloud computing, fog computing inherits the security and privacy issues of cloud computing. Therefore, identity authentication in a fog computing environment is essential. In 2022, Sahoo et al. proposed an authentication scheme for industrial wireless sensor networks with fog computing. However, we analyze the security of Sahoo et al.’s scheme and find that many places in the data distribution phase are not clearly explained and their scheme is also not resistant to user impersonation attack, tracking attack, denial of service attack and replay attack. In order to overcome the weaknesses of Sahoo et al.’s scheme, this paper proposes an improved scheme by making full use of random numbers and timestamps. After security analysis and comparison with some similar schemes, it is shown that the improved scheme can resist various known attacks and has smaller computational cost.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114026821","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

Exploration on the Construction of County Medical Community Information Platform 县级医疗社区信息平台建设的探索

Frontiers in Computing and Intelligent Systems Pub Date : 2023-07-31 DOI: 10.54097/fcis.v4i3.10733

Luyao Zhang, Lecai Cai

引用次数: 0

Design and Implementation of a Learning Resource Recommendation System based on User Habits Based on GNN 基于GNN的用户习惯学习资源推荐系统的设计与实现

Frontiers in Computing and Intelligent Systems Pub Date : 2023-07-20 DOI: 10.54097/fcis.v4i3.11135

Jingxuan Lu, YangKwon Jeong, Jiaqi Xue

引用次数: 0