2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)最新文献_第5页

Seamless Service Migration across Multi-access Edge Computing (MEC) Environments 跨MEC (Multi-access Edge Computing)环境的无缝业务迁移

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645681

Deepika Patil, Eyhab Al-Masri

{"title":"Seamless Service Migration across Multi-access Edge Computing (MEC) Environments","authors":"Deepika Patil, Eyhab Al-Masri","doi":"10.1109/ECICE52819.2021.9645681","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645681","url":null,"abstract":"Multi-access Edge Computing (MEC) has emerged as a paradigm for enabling cloud computing capabilities at the edge of a mobile network in recent years. For example, mobile edge servers connected to cellular base stations significantly help in the reduction of network overhead and latency across edge clouds. The problem is, however, that mobile users frequently change their geographical location which makes identifying an optimal service migration strategy exceedingly difficult. Hence, the process of service migration across cellular edge environments continues to be a major challenge. As a result, significant network performance degradation, such as service interruptions and increased latency when executing services, is likely to occur. The purpose of this research is to examine the use of a Multiple-Criteria Decision Analysis (MCDA) technique called TOPSIS for optimizing service migration across the edge network. We employ TOPSIS to determine when it is appropriate to migrate the service, as well as suitable resources for the service to migrate to. Additionally, we develop a simulation tool for analyzing the performance of our proposed Service Migration Optimization Model (SOM) through the use of various edge-based user-defined scenarios.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115507873","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: 3

A Moving Target Tracking Algorithm Based on Multi-camera Coordination 一种基于多摄像机协调的运动目标跟踪算法

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645662

Xiaoyan Yang

引用次数: 0

Polling Mechanism for Video Deepfake 视频深度造假的轮询机制

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645661

Jian-Jiun Ding, Hsuan-Wei Hsu, Chien-Wei Huang

引用次数: 1

Application of Big Data Statistical Analysis on Interaction Communication System 大数据统计分析在交互通信系统中的应用

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645663

Xinran Li

引用次数: 0

A DNN Inference Offloading Scheme for Storage Arrays 存储阵列的DNN推理卸载方案

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645645

S.-A. Hwang, Hyunsub Lee, Euiseong Seo

引用次数: 0

Design and Implementation of a Robotic System for Effective Transplantation of Seedlings Contained in Multicell Trays 多细胞托盘有效移栽机器人系统的设计与实现

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645599

Julio C. Herrera German, Mark A. J. Peralta Alemán, Smith Vera Reyes, S. P. Gardini

引用次数: 0

Edge Detection of Strong Noise Image Based on WMF and Improved Canny Algorithm 基于WMF和改进Canny算法的强噪声图像边缘检测

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645729

Shigang Wang, Zhanglin Lai, Guang-Xing Tan

{"title":"Edge Detection of Strong Noise Image Based on WMF and Improved Canny Algorithm","authors":"Shigang Wang, Zhanglin Lai, Guang-Xing Tan","doi":"10.1109/ECICE52819.2021.9645729","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645729","url":null,"abstract":"Traditional edge detection algorithm is not effective in detecting images with strong noise. When the image to be detected is heavily polluted by salt and pepper noise, traditional edge detection algorithms have a fairly high false detection rate and missed detection rate. To solve this problem, this study proposes an improved algorithm based on WMF (weighted median filter) and an improved Canny algorithm. This method determines the size of the filter window adaptively according to the number of noise points, assigns the weight level according to the degree of membership of the pixels in the window, and then uses the WMF algorithm to de-noise the image. A dual global threshold selection algorithm is used to adaptively determine the high and low thresholds to reduce the detection problems caused by artificial thresholds. The simulation results show that the edge extracted by the proposed algorithm is better than that extracted by the classical algorithm under the strong noise of salt and pepper. Although the detection time is slightly increased and the operating efficiency needs to be improved, the detected effective edge is significantly more than that of the classical canny algorithm.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131279295","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 Data Prediction Method Based on Improved Grey Model 基于改进灰色模型的数据预测方法研究

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645598

Runzhi Liu, Mei Li, Linlin Zhao, Zhongmin Lv, Yu Zhang

引用次数: 0

Automatic Regulation Mechanism of Network Congestion for Autonomous Network 自治网络网络拥塞自动调节机制

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645607

Chang-Chi Wang, Ching-Po Cho, Tsung-Che Tsai, Chien-Che Hung

{"title":"Automatic Regulation Mechanism of Network Congestion for Autonomous Network","authors":"Chang-Chi Wang, Ching-Po Cho, Tsung-Che Tsai, Chien-Che Hung","doi":"10.1109/ECICE52819.2021.9645607","DOIUrl":"https://doi.org/10.1109/ECICE52819.2021.9645607","url":null,"abstract":"In recent years, 5G networks take advantage of high speed, low latency, and massive connectivity to enable various practical services. To meet the requirements of services, 5G networks bring new challenges to the field of network management. First, the demand for high speed and massive bandwidth would easily lead to a decline in network service quality and an unbalanced bandwidth-load situation. Second, in the telecommunication networks, the complex and huge networks imply that the quality is difficult to maintain and may require high costs. Third, in telecommunications companies, network maintenance staff may make errors in network configuration through manual operations. To tackle the above challenges, this paper proposes an automatic regulation mechanism. The proposed mechanism establishes a closed-loop automatic process. It includes automatic congestion detection, automatic adjustment mechanism, and trunk bandwidth-load scoring algorithm model. The main contributions of this paper are as follows: (1) potential network congestion or problems can be detected early and solved before the problem occurs, (2) the closed-loop automation mechanism can reduce operating manpower and costs, and (3) the proposed mechanism can effectively avoid manual errors which caused by human negligence.","PeriodicalId":176225,"journal":{"name":"2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275659","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 on the Defects of Intelligent Forestry Development Based on Small Sample Data 基于小样本数据的智能林业发展缺陷分析

2021 IEEE 3rd Eurasia Conference on IOT, Communication and Engineering (ECICE) Pub Date : 2021-10-29 DOI: 10.1109/ECICE52819.2021.9645682

Yingxue Wen, Weiping Liu

引用次数: 0