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Research on the Optimization of Headset Optimization Technology based on Cloud and Edge Computing 基于云计算和边缘计算的耳机优化技术研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-05-10 DOI: 10.54097/je9wem29
Qijie Lai, Chao Ma, Qiaoyang Yin, Qiuying Li, Kewei Zhou, Zilin Ma
{"title":"Research on the Optimization of Headset Optimization Technology based on Cloud and Edge Computing","authors":"Qijie Lai, Chao Ma, Qiaoyang Yin, Qiuying Li, Kewei Zhou, Zilin Ma","doi":"10.54097/je9wem29","DOIUrl":"https://doi.org/10.54097/je9wem29","url":null,"abstract":"In the fast -paced life, people's pursuit of high -quality audio equipment has continued to increase. With the advancement of science and technology, the combination of cloud and edge computing provides the possibility for processing large amounts of data and real -time response. To deal with, a set of optimized solutions is proposed on the problem of poor sound quality of Bluetooth headsets on the current market. The optimized Bluetooth headset is effective on the reduction of background noise, providing a clearer listening environment. The decline has greatly improved the purity of the audio and the fineness of hearing. In terms of energy consumption efficiency, the battery life of the Bluetooth headset has been improved.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141128747","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
The Development of the Integrated Media Teaching Materials of Linux Network Operating System with "Paper-based Teaching Materials + Electronic Loose-leaf Pages" 开发 "纸质教材+电子活页 "的 Linux 网络操作系统综合媒体教材
Frontiers in Computing and Intelligent Systems Pub Date : 2024-05-10 DOI: 10.54097/g6sgnx39
Yingfang Liu, Wanchang Dai, Yuli Wang
{"title":"The Development of the Integrated Media Teaching Materials of Linux Network Operating System with \"Paper-based Teaching Materials + Electronic Loose-leaf Pages\"","authors":"Yingfang Liu, Wanchang Dai, Yuli Wang","doi":"10.54097/g6sgnx39","DOIUrl":"https://doi.org/10.54097/g6sgnx39","url":null,"abstract":"This paper focuses on the development of the integrated media teaching materials for the Linux network operating system that combines \"paper-based teaching materials + electronic loose-leaf pages\". It thoroughly analyzes the characteristics and advantages of this teaching material model, elaborating on its application and impact in the teaching process. Additionally, it delves into the challenges encountered during the development and presents corresponding solutions. By conducting this research, we aim to provide valuable references for enhancing the quality and effectiveness of teaching materials, and to facilitate better teaching and learning outcomes in the field of Linux network operating systems, ultimately contributing to the improvement of the overall teaching quality and learning efficiency.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141128973","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
Building a Smart Ecological Education in the AI Era 构建人工智能时代的智能生态教育
Frontiers in Computing and Intelligent Systems Pub Date : 2024-05-10 DOI: 10.54097/ag0dxn58
Zhenjing Zhou
{"title":"Building a Smart Ecological Education in the AI Era","authors":"Zhenjing Zhou","doi":"10.54097/ag0dxn58","DOIUrl":"https://doi.org/10.54097/ag0dxn58","url":null,"abstract":"With the rapid development of artificial intelligence technology, technology is empowering transform teaching in the field of education. as smart education models become widespread, the concept of smart ecological education is receiving increased attention. This paper explores how AI is transforming the education ecosystem from the perspectives of student learning, teacher research, school management, home-school collaboration, and teaching evaluation. By examining AI's impact on education from before class, in-class, and post-class perspectives, we reflect on how to construct a smart ecological system.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141128751","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 Sigma-Pi-Sigma Neural Network Model with Graph Regularity Term 带有图形正则项的西格玛-皮-西格玛神经网络模型
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/xwvpkd67
Qianru Huang, Qingmei Dong, Yunlong Liu, Deqing Ji, Qinwei Fan
{"title":"A Sigma-Pi-Sigma Neural Network Model with Graph Regularity Term","authors":"Qianru Huang, Qingmei Dong, Yunlong Liu, Deqing Ji, Qinwei Fan","doi":"10.54097/xwvpkd67","DOIUrl":"https://doi.org/10.54097/xwvpkd67","url":null,"abstract":"In recent years, Sigma-Pi-Sigma neural network (SPSNN) as a special kind of higher-order neural network has attracted wide attention for its fast convergence speed and good approximation ability. However, an inappropriate number of hidden layer neurons may also lead to model underfitting or overfitting, which affects the performance and generalization ability of the model. Therefore, we propose a Sigma-Pi-Sigma neural network with graph regularity by adding a graph regularity term to the network. The results show that the proposed algorithm performs well in terms of training accuracy, testing accuracy and efficiency.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"43 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252243","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
Study of Trajectory Filtering Methods for ADS-B Based on VSIMM-RSRCKF 基于 VSIMM-RSRCKF 的 ADS-B 轨迹滤波方法研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/mmhwth95
Ruixin Li, Hongping Pu
{"title":"Study of Trajectory Filtering Methods for ADS-B Based on VSIMM-RSRCKF","authors":"Ruixin Li, Hongping Pu","doi":"10.54097/mmhwth95","DOIUrl":"https://doi.org/10.54097/mmhwth95","url":null,"abstract":"In this paper, an advanced ADS-B trajectory filtering method combining Variable Structure Interactive Multi-Modeling (VSIMM) and Reduced Square Root Volume Kalman Filter (RSRCKF) is proposed. After deeply analyzing the operational characteristics of ADS-B system and the application requirements in the field of aviation, this paper aims to improve the accuracy of ADS-B trajectory tracking by this novel filtering method. In order to cope with the tracking performance problems that may be caused by the model set selection in the traditional interacting multi-model algorithm, the Variable Structure Interacting Multi-Model (VSIMM-RSRCKF) algorithm based on the Simplified Square Root Volume Kalman Filtering is adopted in this study for trajectory filtering. By constructing a comprehensive VSIMM model set to describe the dynamic system of maneuvering targets, the filtering method in this paper simplifies the computational process and reduces the computational complexity by squaring the covariance matrix in the iteration, and at the same time ensures the non-negative qualitative nature of the covariance matrix, which effectively avoids the divergence problem that may occur in the filtering process. The goal of this research is to significantly improve the positioning accuracy and reliability of aircraft using the ADS-B system.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"59 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252965","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
Media Safety Threshold for the Digital Protection and Inheritance of Dunhuang Culture 敦煌文化数字化保护与传承的媒体安全门槛
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/gkh9qh60
Ying Wang
{"title":"Media Safety Threshold for the Digital Protection and Inheritance of Dunhuang Culture","authors":"Ying Wang","doi":"10.54097/gkh9qh60","DOIUrl":"https://doi.org/10.54097/gkh9qh60","url":null,"abstract":"This paper delves into the utilization of NFT (Non-Fungible Token) technology for safeguarding and perpetuating Dunhuang culture, with a focus on media safety. It proposes a research methodology aimed at constructing a digital resource library and management platform utilizing this innovative technology. Addressing the imperative requirements of safeguarding work copyrights and establishing robust transaction mechanisms, it introduces the unique features of NFTs, such as non-fungibility and smart contract transactions, in a novel manner. By digitizing cultural artifacts, this approach establishes clear copyright and ownership attributes, facilitating transparent transactions and seamless transfers of ownership. Moreover, the paper explores the integration of NFT technology into the online dissemination and preservation of Dunhuang cultural works, which encompasses the creation of digital exhibitions and online museums. Through collaborative efforts both domestically and internationally, the digital works of Dunhuang culture are poised to garner global exposure, thereby enhancing its international significance. By delving into the future potential of NFT technology for safeguarding and perpetuating Dunhuang culture, this paper seeks to foster better cultural dissemination strategies, ultimately contributing to the enhanced protection, inheritance, and promotion of Dunhuang culture on a global scale.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"31 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140254330","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
Research on The Construction of Big Data Supervision Platform for Public Power in Universities 高校公共权力大数据监管平台建设研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/ysnxzh27
Ying Lou, Wenhui Chen
{"title":"Research on The Construction of Big Data Supervision Platform for Public Power in Universities","authors":"Ying Lou, Wenhui Chen","doi":"10.54097/ysnxzh27","DOIUrl":"https://doi.org/10.54097/ysnxzh27","url":null,"abstract":"With the rapid development of information technology and the increasing public power in universities, it has become necessary to establish a big data supervision platform for public power in universities. Based on the analysis of the existing supervision mechanism of public power in universities, this paper puts forward the necessity of building the big data supervision platform of public power in universities and discusses the key problems and challenges of platform construction. Through the research, we can provide effective technical support for the supervision of public power in universities and promote the transparency and efficiency of public power in universities and colleges.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"63 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252408","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
Research on the Detection of Traffic Flow based on Video Images 基于视频图像的交通流检测研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/yna4dt18
Jian He, Wei Teng, Zeyu Zhao, Binche Liu, Bing Qin, Jun Jiang
{"title":"Research on the Detection of Traffic Flow based on Video Images","authors":"Jian He, Wei Teng, Zeyu Zhao, Binche Liu, Bing Qin, Jun Jiang","doi":"10.54097/yna4dt18","DOIUrl":"https://doi.org/10.54097/yna4dt18","url":null,"abstract":"Based on the current level of social development, everyone's demand for cars has increased rapidly. At present, the total number of motor vehicles and drivers in China ranks first in the world. With the rapid development of deep learning, the method of vehicle flow statistics based on video can directly use the existing traffic monitoring camera to realize the detection of vehicles, and some traffic flow detection based on YOLOv1, YOLOv2, YOLOv3, YOLOv4 and other algorithms have problems such as insufficient accuracy and low efficiency. Therefore, this paper proposes to use YOLOv5 to replace the original algorithm to achieve object detection, tracking, and processing. I improve the efficiency of the statistics of the traffic flow.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"89 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251780","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
Research of ESPI Stripe Skeleton Line Extraction Based on Improved Fast Parallel Algorithm 基于改进的快速并行算法的 ESPI 条纹骨架线提取研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/pjxv2f62
Yuancheng Zheng, Hongwei Ren
{"title":"Research of ESPI Stripe Skeleton Line Extraction Based on Improved Fast Parallel Algorithm","authors":"Yuancheng Zheng, Hongwei Ren","doi":"10.54097/pjxv2f62","DOIUrl":"https://doi.org/10.54097/pjxv2f62","url":null,"abstract":"Stripe skeleton line method is one of the commonly used methods to extract the phase information of ESPI stripe maps, and the accuracy of the skeleton line extraction determines the accuracy of the stripe map phase information. In this paper, a fast parallel refinement algorithm for ESPI streak image is proposed for the commonly used ZS and OPTA fast parallel refinement algorithms, which improves the deletion template and retention template. It is experimentally verified that the algorithm can effectively reduce the burr bifurcation and fracture phenomenon of the refined image in ESPI skeleton line extraction, which has good practical value.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"73 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251851","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
Research on Improved Algorithm for Small Object Detection in Intelligent Surveillance Video based on YOLOv7 基于 YOLOv7 的智能监控视频小目标检测改进算法研究
Frontiers in Computing and Intelligent Systems Pub Date : 2024-03-11 DOI: 10.54097/ehvf7754
Zhiwei Wang, Min Wang
{"title":"Research on Improved Algorithm for Small Object Detection in Intelligent Surveillance Video based on YOLOv7","authors":"Zhiwei Wang, Min Wang","doi":"10.54097/ehvf7754","DOIUrl":"https://doi.org/10.54097/ehvf7754","url":null,"abstract":"In order to address the issue of small objects being difficult to detect effectively in intelligent surveillance videos, this study proposes an improved scheme for the YOLOv7-tiny algorithm. This scheme integrates the Convolutional Block Attention Module (CBAM) into YOLOv7-tiny, effectively enhancing the model's feature extraction and small object detection capabilities in complex backgrounds, thereby improving the overall detection precision. Experimental evaluations indicate that the improved algorithm shows enhanced performance in specific small object detection tasks, achieving an accuracy of 85.6%, a recall rate of 85.2%, and a mean average precision (mAP) of 90.2%. These results demonstrate the effectiveness and practical value of the improved scheme in enhancing the performance of YOLOv7-tiny in small object detection tasks.","PeriodicalId":504530,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"45 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140252386","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
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