2023 5th International Conference on Electronic Engineering and Informatics (EEI)最新文献_第9页

A Service Component Migration Method to maintain VM Performance 采用业务组件迁移方式，维护虚拟机性能

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212886

Yuequn Gao, Yancheng Zhao, Jinlin Guo

{"title":"A Service Component Migration Method to maintain VM Performance","authors":"Yuequn Gao, Yancheng Zhao, Jinlin Guo","doi":"10.1109/EEI59236.2023.10212886","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212886","url":null,"abstract":"In component-oriented cloud service systems, service components share virtual machines (VMs) and their resource utilization ratio is influenced by multiple factors. This paper introduces a method for ensuring virtual machine performance through component migration. The method consists of three phases: migration assembly triggering, target migration component selection, and target virtual machine selection. These phases address challenges related to VM migration and service migration at a large granularity. The approach applies resource dynamic adjustment by analyzing the load characteristics and resource correlation of each component, enabling more precise resource allocation at the component level. This enhances the applicability of resource adjustment and reduces resource costs for cloud service providers while meeting service level agreements (SLAs). The method also considers the reconfigurability and scalability of cloud computing, effectively meeting SLA constraints, and optimizing cloud application performance by adjusting resources at the component level. Experimental verification demonstrates the effectiveness of the proposed method in ensuring virtual machine performance.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116162966","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

Simulation study on the characteristics of planar gate VDMOS power devices 平面栅极VDMOS功率器件特性仿真研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212730

Yaozhen Li, Ailing Wang, Fenqiang Wang, Jun Lan, Ruixia Niu, Pengjie Zhang

{"title":"Simulation study on the characteristics of planar gate VDMOS power devices","authors":"Yaozhen Li, Ailing Wang, Fenqiang Wang, Jun Lan, Ruixia Niu, Pengjie Zhang","doi":"10.1109/EEI59236.2023.10212730","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212730","url":null,"abstract":"VDMOS is a semiconductor power device widely used in electronic circuits, with the advantages of fast switching speed, high input impedance, high operating frequency, and good thermal stability. In this paper, a planar gate VDMOS simulation model is established based on numerical simulation software, and its reverse breakdown characteristics, output characteristics, and transfer characteristics are simulated and analyzed. The research results show that the thickness and doping concentration of the drift region, the width of the JFET region, and the junction depth and doping concentration of the P-body region all have certain effects on the breakdown voltage and specific on-resistance of the device. If the breakdown voltage of the device is higher, the low-doped N-type drift region is required to be thicker. But at the same time the current path is longer, and the specific on-resistance will increase accordingly, increasing the on-voltage drop and on-state loss of the device. Within a reasonable threshold voltage range, a compromise design has been made between the breakdown voltage and specific on-resistance of the device By optimizing the parameters of the drift region, JFET region, and P-body region, a VDMOS with a withstand voltage of 650 V and a specific on-resistance of 0.477 mΩ·cm2 is finally obtained.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125651361","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

Intrusion Detection for Internet of Things Networks using Attention Mechanism and BiGRU 基于注意机制和BiGRU的物联网网络入侵检测

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212791

Yalong Song, Dalong Zhang, Yitong Li, Shijie Shi, Pengsong Duan, Junfei Wei

{"title":"Intrusion Detection for Internet of Things Networks using Attention Mechanism and BiGRU","authors":"Yalong Song, Dalong Zhang, Yitong Li, Shijie Shi, Pengsong Duan, Junfei Wei","doi":"10.1109/EEI59236.2023.10212791","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212791","url":null,"abstract":"The rapid growth of Internet of Things (IoT) devices has led to increased vulnerability to serious security threats within IoT networks. As such, it is crucial to employ network intrusion detection techniques to monitor these networks. This paper presents an intrusion detection model, SEW-MBiGD, which integrates data processing and fusion neural networks to address data imbalance and insufficient feature learning in existing models. Firstly, to balance the dataset and mitigate the influence of edge data, the model employs Synthetic Minority Over-sampling Technique (SMOTE) and Edited Nearest Neighbors (ENN) algorithms for data preprocessing, while also utilizing Wasserstein Generative Adversarial Networks (WGAN) to generate minority class data. The proposed intrusion detection model is based on Bidirectional Gated Recurrent Unit (BiGRU) and multi-head self-attention (MHSA) mechanisms, which effectively manage long sequence data and capture correlations between data and global features. Experimental results demonstrate the efficacy of the proposed SEW-MBiGD model outperforming baseline models in achieving a balanced dataset and classification tasks.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128228963","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

Multi-Target Instance Segmentation and Tracking Using YOLOV8 and BoT-SORT for Video SAR 基于YOLOV8和BoT-SORT的视频SAR多目标分割与跟踪

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212903

Shangqu Yan, Yaowen Fu, Wenpeng Zhang, Wei Yang, Ruofeng Yu, Fatong Zhang

{"title":"Multi-Target Instance Segmentation and Tracking Using YOLOV8 and BoT-SORT for Video SAR","authors":"Shangqu Yan, Yaowen Fu, Wenpeng Zhang, Wei Yang, Ruofeng Yu, Fatong Zhang","doi":"10.1109/EEI59236.2023.10212903","DOIUrl":"https://doi.org/10.1109/EEI59236.2023.10212903","url":null,"abstract":"Moving target detection and tracking is a crucial application field of video SAR. It can offer significant support for military intelligence reconnaissance and civil monitoring. Compared with the traditional moving target detection and tracking methods, the deep learning-based moving target detection and tracking methods can more fully extract the moving targets' shadow features in video SAR frame images to improve detection and tracking accuracy. This paper proposes a multi-target instance segmentation and tracking framework based on the YOLOv8 model and the BoT-SORT algorithm for video SAR. Firstly, the detection effects of YOLOv8-seg models with different sizes are analyzed, and the most suitable detection model for video SAR moving targets is selected. Secondly, the BoT-SORT algorithm is used to track the targets detected by the detector to complete the whole detection and tracking process. Based on the experimental results, it has been determined that the proposed framework is highly effective in detection and tracking accuracy. Additionally, it has the capability to achieve real-time tracking.","PeriodicalId":363603,"journal":{"name":"2023 5th International Conference on Electronic Engineering and Informatics (EEI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223899","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

Big Data-Driven Active Optimization Algorithm for Grid Fault Disposal Plan Assisted Decision Logic 电网故障处置计划辅助决策逻辑的大数据驱动主动优化算法

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212953

Hebin Jiang, Junhong Guo, Yanlin Cui, Bo Zhou, Zhangguo Chen

引用次数: 0

Design of strip-loaded directional coupler 条形加载定向耦合器的设计

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212774

Cuilian Song, Yuchao Ma, Hui Ma, Huiyan Liu

引用次数: 0

Research on Power Equipment Status Detection Based on Deep Learning 基于深度学习的电力设备状态检测研究

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212769

Bao YuDe

引用次数: 0

Power Information System Alarm Noise Reduction Technology Based on Graph Theory and Information Entropy 基于图论和信息熵的电力信息系统报警降噪技术

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212741

Junwei Chen, Zhen Liu, Zhen Han, Kaimin Chang, Guorui Hu

引用次数: 0

Doppler GDOP Lower Bound for Different LEO Constellations of Opportunity Positioning 不同LEO星座机会定位的多普勒GDOP下界

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212488

Danyao Wang, H. Qin, E. Piao

引用次数: 0

Doppler Positioning Based on Globalstar Signals of Opportunity 基于机遇号全球星信号的多普勒定位

2023 5th International Conference on Electronic Engineering and Informatics (EEI) Pub Date : 2023-06-30 DOI: 10.1109/EEI59236.2023.10212497

Yu Zhang, H. Qin, Guangting Shi

引用次数: 0