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2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)最新文献

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Group-based Sparse Coding with Adaptive Dictionary Learning for Image Denoising 基于自适应字典学习的分组稀疏编码图像去噪
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00036
Jiaying Wang, Meiqing Wang, Hang Cheng, Rong Liu, Fei Chen
{"title":"Group-based Sparse Coding with Adaptive Dictionary Learning for Image Denoising","authors":"Jiaying Wang, Meiqing Wang, Hang Cheng, Rong Liu, Fei Chen","doi":"10.1109/DCABES57229.2022.00036","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00036","url":null,"abstract":"Group sparse coding (GSC) is a powerful mechanism that has achieved great success in many low-level vision tasks, showing great potential in image denoising. Traditional group sparse coding generally uses overcomplete dictionaries and $l_{1}$-norm to regularize sparse coefficients. But this is only an estimate of the solution, which cannot obtain a sparse solution and has a high computational cost. In this paper, we use a GSC framework with adaptive dictionary learning for image denoising. In order to improve the accuracy of obtaining sparse coefficients, the dictionary used in this paper is learned from the input image, which can be obtained by applying SVD once for each patch group. Then use ADMM algorithm to solve the objective function. Experimental results show that the PSNR value of our approach not only is competitive with many advanced image denoising methods but also achieves better visual effects.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126260219","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
Numerical simulation of particle interception efficiency on different fiber shapes 不同纤维形状对颗粒拦截效率的数值模拟
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00046
Xinyi Lin, Jingyue Wang, Meiqing Wang, Shumin Guo, G. Zheng, Choi-Hong Lai
{"title":"Numerical simulation of particle interception efficiency on different fiber shapes","authors":"Xinyi Lin, Jingyue Wang, Meiqing Wang, Shumin Guo, G. Zheng, Choi-Hong Lai","doi":"10.1109/DCABES57229.2022.00046","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00046","url":null,"abstract":"We use the Multiple-Relaxation-Time Lattice Boltzmann model to simulate the flow field and particle motion in a 2D porous media configured with various fiber cross-section shapes. Four sets of experiments are conducted to investigate the particle interception efficiency of four fiber structures with the same porosity. We find that: (1) with the same porosity, the filtration efficiency of hexagonal fibers is higher than that of fibers in other tested shapes; (2) sparse structures as shown in the ellipse and rectangular cases yield low filtration efficiencies even with a low porosity number.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123496474","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
Summarisation of E-Commerce Workers’ Workplace Stress Sources – Current Evidence Analysis and Reflections 电子商务工作者工作压力来源综述——现有证据分析与思考
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00076
Yining Xu
{"title":"Summarisation of E-Commerce Workers’ Workplace Stress Sources – Current Evidence Analysis and Reflections","authors":"Yining Xu","doi":"10.1109/DCABES57229.2022.00076","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00076","url":null,"abstract":"Workplace stress is a significant issue that needs attention in e-commerce. This article analysed how stress is caused in e-commerce workers (employees and entrepreneurs). Findings show that sources of workplace stress include task nature, behaviour & managerial issues, communication, identity & life, and the grand society factor. Furthermore, the reasons workplace stress can be created in these pathways are tightly associated with higher expectations and requirements of the e-commerce workplace under the influence of external industrial development and more robust work challenges. Finally, this paper also introduces what could be done to relieve the concerning state of workplace stress for e-commerce workers. In general, all 3 relative parties - individuals, work groups, and society all need to make joint efforts and make a contribution by creating a beneficial industrial & occupational environment and take care of employees') mental states.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131249809","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 Two-stage Conveying Bar Counting and Dividing System Based on Vision 基于视觉的两级输送棒料计数分划系统研究
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00066
Guojun Chen, Yang Wu
{"title":"Research on Two-stage Conveying Bar Counting and Dividing System Based on Vision","authors":"Guojun Chen, Yang Wu","doi":"10.1109/DCABES57229.2022.00066","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00066","url":null,"abstract":"A vision-based automatic bar counting system for two-stage conveying bars is proposed. The system solves the counting problems of sticking and relative sliding of a large number of rebar stacks through image processing algorithms. Through the improvement of the splitting end splitting machine, the design of two-step splitting and visual verification is adopted to achieve accurate splitting of stacked rebars. The system obviously reduces the requirements for installation space, and can make more effective use of the space in the rebar workshop. The system has fast running speed, high accuracy, small changes to the production line, and easy maintenance. It can not only meet the needs of production, but also greatly improve the efficiency of the existing counting system. It is suitable for rebar workshops with limited installation space. The experimental results show that the system can accurately count the bars and can accurately realize the steel separation. For bars with a diameter of 8-12mm, the counting accuracy is over 99.85%, and for bars with a diameter greater than 12mm, the counting accuracy is over 99.96%.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132035800","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
Graph Neural Network-based Surrogate Models for Finite Element Analysis 基于图神经网络的有限元分析代理模型
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00035
Meduri Venkata Shivaditya, J. Alves, Francesca Bugiotti, F. Magoulès
{"title":"Graph Neural Network-based Surrogate Models for Finite Element Analysis","authors":"Meduri Venkata Shivaditya, J. Alves, Francesca Bugiotti, F. Magoulès","doi":"10.1109/DCABES57229.2022.00035","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00035","url":null,"abstract":"Current simulation of metal forging processes use advanced finite element methods. Such methods consist of solving mathematical equations, which takes a significant amount of time for the simulation to complete. Computational time can be prohibitive for parametric response surface exploration tasks. In this paper, we propose as an alternative, a Graph Neural Network-based graph prediction model to act as a surrogate model for parameters search space exploration and which exhibits a time cost reduced by an order of magnitude. Numerical experiments show that this new model outperforms the Point-Net model and the Dynamic Graph Convolutional Neural Net model.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130047415","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: 2
Secure Verifiable Outsourced Watermark Embedding Framework in Multi-User Settings 多用户安全可验证外包水印嵌入框架
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00072
Wanxi Yan, Hang Cheng, Mei Wang, He Ye, Qinjian Huang, Li Wu
{"title":"Secure Verifiable Outsourced Watermark Embedding Framework in Multi-User Settings","authors":"Wanxi Yan, Hang Cheng, Mei Wang, He Ye, Qinjian Huang, Li Wu","doi":"10.1109/DCABES57229.2022.00072","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00072","url":null,"abstract":"With the development of the mobile Internet, supporting multi-user has become a popular concern for Internet-based algorithms. In this paper, an efficient watermark embedding framework is proposed to achieve secure outsourced image watermarking in multi-user settings. In addition, an authentication mechanism for authorized users is designed to ensure the security and correctness of the information. The proposed method enables watermarking operations in complex outsourced environments while embedding watermarks in encrypted images of multiple users. The experimental results show that the framework is feasible and scalable.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131847652","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
Development and Application Mode Design of Complex Ship Numerical Simulation System Based on SaaS 基于SaaS的复杂船舶数值仿真系统开发与应用模式设计
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00028
Ji Zhao, Cheng Cheng
{"title":"Development and Application Mode Design of Complex Ship Numerical Simulation System Based on SaaS","authors":"Ji Zhao, Cheng Cheng","doi":"10.1109/DCABES57229.2022.00028","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00028","url":null,"abstract":"The current numerical simulation system is developing in the direction of large-scale, complex and service-oriented because of the high integration of numerical simulation technology development and equipment research. However, the numerical simulation research of the three important links of prediction, evaluation and optimization for the ship general performance is highly dependent on foreign commercial software. It is urgent to integrate multidisciplinary fusion methods and data knowledge engineering to implement independent research and development of numerical simulation systems. In order to remodel the research and development mode of ship general performance, the experience and lessons in the development of industrial software are summarized in this paper. The research and development concept of numerical simulation system for ship general performance including “crowd-innovation and sharing”, knowledge collaborative application, and intelligent are proposed to improve ship R & D capability.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130726351","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
Machine Learning Prediction Based Integrated Smart Energy Management System to Improve Home Energy Efficiency 基于机器学习预测的集成智能能源管理系统提高家庭能源效率
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00042
Ahmed Al-Adaileh, S. Khaddaj
{"title":"Machine Learning Prediction Based Integrated Smart Energy Management System to Improve Home Energy Efficiency","authors":"Ahmed Al-Adaileh, S. Khaddaj","doi":"10.1109/DCABES57229.2022.00042","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00042","url":null,"abstract":"This paper proposes an integrated smart energy management system that applies different machine learning regression techniques to gather, enhance, and prepare various relevant data taken from the surrounding environment to predict and schedule the running periods of one of the schedulable appliances in the household. The system was applied to a case study with encouraging results showing energy consumption reduction rates up to 36%.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116296078","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
Overcomplete Deep Low-Rank Subspace Clustering 过完全深度低秩子空间聚类
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00048
Yongmeng Feng, Cong-Zhe You
{"title":"Overcomplete Deep Low-Rank Subspace Clustering","authors":"Yongmeng Feng, Cong-Zhe You","doi":"10.1109/DCABES57229.2022.00048","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00048","url":null,"abstract":"Aiming at the fact that when the input data in the deep subspace clustering networks (DSC) has noise, its robustness is poor, the performance is significantly degraded, and the method has too many learnable parameters, we suggest an overcomplete deep low-rank subspace clustering (ODLRSC). The technique is easy to use, efficient, and has shown to be a great fit for subspace clustering. By inserting a fully connected linear layer and its transposition between the encoder and decoder in our suggested technique, we may automatically put rank restrictions on the learnt representations. Additionally, in order to obtain a more reliable representation of the input data for clustering, the characteristics of the under- and over-complete auto-encoder networks are fused in the encoder. Our technique beats DSC and other clustering algorithms in the field of clustering error, and can sustain high level of quality throughout a broad range of LRRs, according to experimental findings on benchmark datasets.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419319","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 Jamming Resource Allocation Based on Improved Pelican Optimization Algorithm 基于改进Pelican优化算法的干扰资源分配研究
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2022-10-01 DOI: 10.1109/DCABES57229.2022.00060
Junwei Zhao, Yi-an Liu, Hailing Song
{"title":"Research on Jamming Resource Allocation Based on Improved Pelican Optimization Algorithm","authors":"Junwei Zhao, Yi-an Liu, Hailing Song","doi":"10.1109/DCABES57229.2022.00060","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00060","url":null,"abstract":"To get the best jamming effect of limited jamming resources in electronic warfare, this paper focuses on the problem of jamming resource allocation. An objective function of jamming resource allocation is built, which is based on the calculation by the probability formula of jammer pressing, and an improved Pelican Optimization Algorithm is designed. By simulating the pelican's natural behavior of approaching prey and searching the nearby area in the process of hunting, the algorithm creates the corresponding mathematical model, and obtains the global optimal allocation strategy by solving the model. The simulated results indicate that the probability of obtaining the optimal solution and optimal allocation strategy of the algorithm are better than the traditional Simulated Annealing Algorithm, whether it is the situation of “single jammer to single radar” or “multi-jammer to single-radar”.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126549819","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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