2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)最新文献_第3页

Community Detection Approach Via Graph Regularized Non-Negative Matrix Factorization 基于图正则化非负矩阵分解的社区检测方法

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016496

A. Haq, Jian Ping Li, G. Khan, Jalaluddin Khan, Mohammad Ishrat, Abhishek Guru, B. L. Y. Agbley

{"title":"Community Detection Approach Via Graph Regularized Non-Negative Matrix Factorization","authors":"A. Haq, Jian Ping Li, G. Khan, Jalaluddin Khan, Mohammad Ishrat, Abhishek Guru, B. L. Y. Agbley","doi":"10.1109/ICCWAMTIP56608.2022.10016496","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP56608.2022.10016496","url":null,"abstract":"One of the most important problems towards studying complicated networks is community detection. The methodology of non-negative matrix factorization (NMF) has lately emerged as among the hottest research issues within community detection because of its ability to reveal natural structures and trends in high-dimensional information. The primary difficulty is that most community detection methods are hampered by the issue of nodes belonging to several communities. We will use the NMF technique in this work to tackle this issue by creating a novel mathematical function. In addition, we will include a regularized factor for simulating latent embedding space and a correlation factor to prevent overlap inside nodes that belong to various communities. Following that, the entire objective function will employ an optimization approach to arrive at the variable values that are ideal. Finally, we assess the effectiveness of different methodologies on real networks. According to experimental findings, the introduced approach is better among the other state-of-the-art methodology.","PeriodicalId":159508,"journal":{"name":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"155 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120981655","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

MPPT Control of Boost Structure Solar Collector Assisted by Buck Circuit Buck电路辅助升压结构太阳能集热器的MPPT控制

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016610

Zhong Qiong, Dai Jing, Tan Yusha, Tian Ziyi, Zheng Mingcai

引用次数: 0

Real-Time Oriented Ship Detection in Aerial Images for Embedded Platforms 面向嵌入式平台的航拍图像实时船舶检测

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016547

Weng Xiaoran

引用次数: 0

Tabnet With Data Augmentation Apporach in Stock Return Prediction Task 股票收益预测任务中的数据扩充方法

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016580

Zhuohan Wang

引用次数: 0

A Mobile Intelligent Anti Ice and Snow Removing Spray System 一种移动式智能防冰除雪喷雾系统

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016499

Cheng Zhengting, Du Zhaohua, Tan Zhiguo, Gao Feng, Zhang Xing, Teng Shuhua

引用次数: 0

RepMDN: Re-Parameterization Multi-View Deformation Network for 3D Reconstruction RepMDN:用于三维重建的再参数化多视图变形网络

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016497

Li Bo, Zhang Shibin, Wan Guogen, Zhou Daohua, Huang Yuanyuan, Li Chaorong, He Peilin

{"title":"RepMDN: Re-Parameterization Multi-View Deformation Network for 3D Reconstruction","authors":"Li Bo, Zhang Shibin, Wan Guogen, Zhou Daohua, Huang Yuanyuan, Li Chaorong, He Peilin","doi":"10.1109/ICCWAMTIP56608.2022.10016497","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP56608.2022.10016497","url":null,"abstract":"Using multiple image features to generate 3D models of objects is an important part of 3D reconstruction research. In recent years, a multi-view 3D reconstruction model Pixel2Mesh++ has been proposed, which uses a multi-view deformation network to continuously deform and optimize the 3D vertices to make the generated 3D model more refined. Due to its poor performance in two-dimensional image feature extraction and multi-image feature fusion, the training speed is slow and the coarse shape generation effect of the model is poor. Based on this, the RepMDN network model is proposed in this paper. By using the latest RepVGG-B2 network to optimize the speed and accuracy of the feature extraction of two-dimensional images, the training time of the model is reduced. At the same time, our model also adds the GVCNN network, using multi-image fusion technology to obtain more abundant object feature representation, thus generating a more accurate initial three-dimensional shape. Finally, combined with multi-view deformation network, the initial three-dimensional shape is continuously refined. The experimental results show that compared with Pixel2Mesh++, our model reduces the training time on the ShapeNetCore subset by 11.46%, and reduces the reconstruction time by 10.94%. The F-score value and chamfer distance value also have good performance on multi-category objects. Finally, the reconstruction accuracy of the model is improved.","PeriodicalId":159508,"journal":{"name":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134334829","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-Agent Reinforcement Learning With Contribution-Based Assignment Online Routing In SDN SDN中基于贡献分配在线路由的多智能体强化学习

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016566

Xiaofeng Yue, Wu Lijun, Weiwei Duan

{"title":"Multi-Agent Reinforcement Learning With Contribution-Based Assignment Online Routing In SDN","authors":"Xiaofeng Yue, Wu Lijun, Weiwei Duan","doi":"10.1109/ICCWAMTIP56608.2022.10016566","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP56608.2022.10016566","url":null,"abstract":"Emerging applications place critical QoS requirements on the Internet. Networks need to guarantee different quality of service (QoS) requirements for different data flows for various Internet services. Improvements in traffic classification techniques, software-defined networking (SDN), and programmable network devices make it possible to quickly identify user requirements and control the routing of fine-grained traffic. In this paper, we propose CBR, an online routing algorithm using multi-agent deep reinforcement learning. CBR uses GCN to extract topology features, designs different reward functions to learn appropriate routing policies for different types of traffic demands, and organizes agents to generate routes in a hop-by-hop approach. In addition, to address the challenge of not being able to distinguish whether the actions made by each agent are critical or not due to shared reward values, CBR designs a new baseline to indicate their contribution level. Finally, to ensure reliability and speed up training, we use pre-training to learn shortest path rules to obtain initial parameters to speed up training and introduce a routing alternative mechanism to provide security for online routing. We conducted Mininet-based experiments using Abilene and GEANT network topologies. The experimental results show that CBR is able to simultaneously meet the demands of different service types for their requested traffic while performing well in terms of reliability in the case of link failures.","PeriodicalId":159508,"journal":{"name":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323455","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 on the Effect of SR2+–TI4+ Co-Doped YIG Ferrite Microwave Magnetic Properties And Dielectric Property Modulation on Microwave Ferrite Circulator Performance SR2+ -TI4 +共掺YIG铁氧体微波磁性能及介电性能调制对微波铁氧体环行器性能影响的研究

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016611

Yin Qisheng, Liu Yingli, Wu Jian, L. Jie, Chen Jianfeng, Lu Shifan

{"title":"Study on the Effect of SR2+–TI4+ Co-Doped YIG Ferrite Microwave Magnetic Properties And Dielectric Property Modulation on Microwave Ferrite Circulator Performance","authors":"Yin Qisheng, Liu Yingli, Wu Jian, L. Jie, Chen Jianfeng, Lu Shifan","doi":"10.1109/ICCWAMTIP56608.2022.10016611","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP56608.2022.10016611","url":null,"abstract":"This work focuses on microwave properties of Y<inf>3-x</inf>Sr<inf>x</inf>Fe<inf>5</inf>xTi<inf>x</inf>O<inf>12</inf> (when x = 0.0 - 0.5) prepared using traditional ceramic technology. Experimental results showed that proper Sr2+–Ti4+ ion substitution increased the dielectric constant (ε<inf>r</inf>) while decreasing the ferromagnetic resonance linewidth (ΔH) of YIG ferrites. Y<inf>2.7</inf>Sr<inf>0.3</inf>Fe<inf>4.7</inf>Ti<inf>0.3</inf>O<inf>12</inf> sintered at 1450 ℃ for 6 h had the optimal microwave dielectric and magnetic properties: ε<inf>r</inf> = 16.8, tanδ<inf>ε</inf>= 5.3×10-4, saturation magnetization (4πM<inf>S</inf>) = 1850 G, ΔH = 56 Oe. The YIG ferrite in the previous study’s a Y-junction microstrip circulator was replaced with this material to achieve double the working bandwidth. The extended bandwidth of the circulator shows that the improvement of the properties of ferrite materials is an important factor in improving the performance of microwave devices used.","PeriodicalId":159508,"journal":{"name":"2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115877566","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 AFT of Unstructured Surface Mesh Based on ANN 基于人工神经网络的非结构化曲面网格AFT研究

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016609

Wu Haotian

引用次数: 0

Outage Probability in a Hybrid VLC/RF Network Enhanced by Energy Harvesting Relay 能量收集中继增强VLC/RF混合网络的中断概率

2022 19th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2022-12-16 DOI: 10.1109/ICCWAMTIP56608.2022.10016568

Yao Ding

引用次数: 0