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2021 International Conference on Digital Society and Intelligent Systems (DSInS)最新文献

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Digital Driven Global Manufacturing Industry Transition and Innovative Development 数字化驱动的全球制造业转型与创新发展
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670566
Dong Wu, Yang Xiao
{"title":"Digital Driven Global Manufacturing Industry Transition and Innovative Development","authors":"Dong Wu, Yang Xiao","doi":"10.1109/dsins54396.2021.9670566","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670566","url":null,"abstract":"In this era of rapid development, global manufacturing industry has joined the ranks of digital transformation. However, how should manufacturing enterprises realize digital transformation? From which direction does the digital transformation begin? What problems need to be solved in the process of digital transformation? These problems have become the confusion of most enterprises. For the manufacturing industry, the digital transformation involves all aspects of the enterprise, different industries, different enterprises in different stages of development are concerned about the digital issues are different. But we can still find out the most important digital transformation processes by combing them. If these processes are combined with the industrial Internet of things or industrial Internet platform, it will eventually constitute an interconnected enterprise that can realize intelligent manufacturing.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127574252","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: 1
Network Attack Intention Recognition Based on Signaling Game Model and Netlogo Simulation 基于信令博弈模型和Netlogo仿真的网络攻击意图识别
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670583
Xiaoning Zhang, Hengwei Zhang, Chenwei Li, Pengyu Sun, Zhilin Liu, Jin-dong Wang
{"title":"Network Attack Intention Recognition Based on Signaling Game Model and Netlogo Simulation","authors":"Xiaoning Zhang, Hengwei Zhang, Chenwei Li, Pengyu Sun, Zhilin Liu, Jin-dong Wang","doi":"10.1109/dsins54396.2021.9670583","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670583","url":null,"abstract":"With the development of attack technology, identifying the real intention of network attack and avoiding further deterioration of security situation has become a hot research topic in recent years. This paper proposes an attack intention recognition method based on signaling game model. Firstly, we generate attack intention hypotheses, and then calculate the probability of each attack intention by solving game equilibrium. Experiments show that the method can effectively improve the accuracy of attack intention recognition from the perspective of the revenue.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123977893","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: 1
Deep convolution variational autoencoder network based transfer learning strategy for fault diagnosis 基于深度卷积变分自编码器网络的故障诊断迁移学习策略
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670578
Bo She, Heng Zhang, Jun Wang
{"title":"Deep convolution variational autoencoder network based transfer learning strategy for fault diagnosis","authors":"Bo She, Heng Zhang, Jun Wang","doi":"10.1109/dsins54396.2021.9670578","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670578","url":null,"abstract":"The successful application of traditional machine learning to mechanical fault diagnosis relies on two conditions: the same probability distribution of training data and testing data, and the data containing fault information has labels. However, it is difficult to obtain massive labeled data, and the change of mechanical operation conditions also results in inconsistent distribution of source domain data and target domain data, which makes the labeled data for training model possibly fail in classifying unlabeled data acquired under other conditions. Aiming at solving the above problems, a deep convolution variational autoencoder network is introduced, the pseudo-label information of small samples in target domain is predicted by using label propagation and data fusion methods, combining with the domain adaptability advantages of transfer learning theory, a novel diagnosis method based on transfer learning with deep convolution variational autoencoder (TL-DCVAEN) is presented. In addition, the spectrum data is used as the input of the model to reduce the dependence on artificial feature design and engineering experience. The experimental results indicate that the proposed diagnosis method is suitable for rolling bearing fault diagnosis under variable working conditions, and has better diagnostic performance and generalization.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124274361","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
Curriculum Design of Art Appreciation in Colleges Based on Kano Model Demand Analysis 基于Kano模型需求分析的高校美术鉴赏课程设计
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670590
Baoqing Song, Ruichong Lin, Zehua Wang, Yun Cai, Feiyu Wang
{"title":"Curriculum Design of Art Appreciation in Colleges Based on Kano Model Demand Analysis","authors":"Baoqing Song, Ruichong Lin, Zehua Wang, Yun Cai, Feiyu Wang","doi":"10.1109/dsins54396.2021.9670590","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670590","url":null,"abstract":"The cultivation of art appreciation ability can effectively improve the aesthetic and humanistic qualities of college students, and it is an indispensable link in aesthetic education. Based on the results of the Kano model demand survey (N=976), which was carried out before the application of big data analysis, the research team has set up a variety of experimental special courses on art appreciation with a combination of different course elements. The conclusion based on the scientific calculation method shows that: students have a high demand for curriculum elements such as professional performance team participation and interaction with artists on the same stage. A retrospective survey of 15% of students who have participated in the course was randomly selected (n=148). The students were satisfied with this experimental art appreciation course and showed higher expectations for the new art appreciation course. The article also puts forward suggestions for art appreciation courses: the combination of knowledge teaching and demonstration performances, enhanced interaction with students, and the level of artistic expression of the lecturers are all positive factors for the sustainable development of art appreciation courses.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125876557","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: 1
Research on the Design of Mobile Guiding in Art Museum Based on Augmented Reality 基于增强现实的美术馆移动导览设计研究
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670596
Nan Ma
{"title":"Research on the Design of Mobile Guiding in Art Museum Based on Augmented Reality","authors":"Nan Ma","doi":"10.1109/dsins54396.2021.9670596","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670596","url":null,"abstract":"According to the current application of augmented reality and art appreciation, this study is to design a set of guide tool with mobile augmented reality in painting appreciation, and compare the learning performance of students using the augmented reality guide with those using the audio guide and without any assistance devices. This research was adopted the quasi-experimental design with nonequivalent pretest-post-test design, and the participants were 135 undergraduates. The independent variables were three painting guide ways; the dependent variables included learning outcomes, flow experience and learners’ attitude on the use and acceptance of guide systems.The results showed that: (a) the augmented reality guide promoted the learning performance in painting appreciation; (b) the augmented reality guide promoted the flow experience; (c) some of the learners had positive attitudes on the use and acceptance of the mobile augmented reality guide system; (d) overview of the above factors, we could summarize standardized services of the mobile augmented reality guide system.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125899463","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: 1
A Model-Based Exploration Policy in Deep Q-Network 一种基于模型的深度q网络探索策略
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670573
Shuailong Li, Wei Zhang, Yuquan Leng, Xin Zhang
{"title":"A Model-Based Exploration Policy in Deep Q-Network","authors":"Shuailong Li, Wei Zhang, Yuquan Leng, Xin Zhang","doi":"10.1109/dsins54396.2021.9670573","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670573","url":null,"abstract":"Reinforcement learning has successfully been used in many applications and achieved prodigious performance (such as video games), and DQN is a well-known algorithm in RL. However, there are some disadvantages in practical applications, and the exploration and exploitation dilemma is one of them. To solve this problem, common strategies about exploration like ɛ–greedy have risen. Unfortunately, there are sample inefficient and ineffective because of the uncertainty of later exploration. In this paper, we propose a model-based exploration method that learns the state transition model to explore. Using the training rules of machine learning, we can train the state transition model networks to improve exploration efficiency and sample efficiency. We compare our algorithm with ɛ–greedy on the Deep Q-Networks (DQN) algorithm and apply it to the Atari 2600 games. Our algorithm outperforms the decaying ɛ–greedy strategy when we evaluate our algorithm across 14 Atari games in the Arcade Learning Environment (ALE).","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316079","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: 1
Twin Process Model Driven Machining Quality Optimization for Complex Parts 双工艺模型驱动的复杂零件加工质量优化
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670612
Jingjing Li, Guanghui Zhou, Chao Zhang
{"title":"Twin Process Model Driven Machining Quality Optimization for Complex Parts","authors":"Jingjing Li, Guanghui Zhou, Chao Zhang","doi":"10.1109/dsins54396.2021.9670612","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670612","url":null,"abstract":"Machining process of complex parts is high-performance processing with equal emphasis on geometric accuracy and physical performance indicators, and its machining quality directly affects service performance. Process optimization based on digital twin is considered as an intelligent method to link machining process and process design, which is benefit to the scientific control of machining quality. This paper summarizes the evolution and development of process model and proposes twin process model, which could support the machining quality optimization of complex parts. What’s more, industrial application of twin process model is introduced through three steps, namely mapping relationship between machine operation data and instruction domain, simulation and monitoring of machining surface roughness, and optimization of machining parameter based on twin process model. Finally, the proposed twin process model could provide theoretical support for machining quality control.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130205894","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 impact of the digital economy on the residents’ lives with high quality based on principal component analysis and multiple linear regression methods 基于主成分分析和多元线性回归方法的数字经济对居民高质量生活的影响研究
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670586
Aichen Ni
{"title":"Research on the impact of the digital economy on the residents’ lives with high quality based on principal component analysis and multiple linear regression methods","authors":"Aichen Ni","doi":"10.1109/dsins54396.2021.9670586","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670586","url":null,"abstract":"At present, the academic research focuses on the economic benefits brought by the development of digital economy, but the research on the impact of digital economy on people’s life and well-being is insufficient. In this paper, the principal component analysis and multiple linear regression method are used to select data from multiple perspectives to depict the digital economy. The results show that the development of digital economy has a positive impact on the quality of life of residents as a whole; among them, the development of telecommunication services and the popularization of the Internet have played a positive role in the high-quality life of residents. This research proves that the digital economy has contributed to the high-quality life of residents, and provides suggestions for the future development of the digital economy and the digitization of the industry, which has a certain reference value.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196289","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-level threshold segmentation based on LSHADE 基于LSHADE的多级阈值分割
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670556
Guang Yang, Zhaoguang Liu, Zongna Zhu
{"title":"Multi-level threshold segmentation based on LSHADE","authors":"Guang Yang, Zhaoguang Liu, Zongna Zhu","doi":"10.1109/dsins54396.2021.9670556","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670556","url":null,"abstract":"In order to solve the problems in traditional multi-threshold image segmentation methods, a Multi-threshold image segmentation method based on LSHADE is proposed. On the basis of SHADE, LSHADE uses a linear population size reduction method to continuously reduce the population size to improve the performance of the algorithm. First, perform multi-threshold image segmentation based on the between-class variance and entropy, and compare the segmentation results of the two methods. Then using PSNR and objective function values as evaluation criteria, comparing LSHADE with other algorithms. The results show that the segmentation speed and segmentation accuracy have been improved.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121304972","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 MIMO-OFDM Deep Receiver in Mine Environment 矿井环境下MIMO-OFDM深度接收机的研究
2021 International Conference on Digital Society and Intelligent Systems (DSInS) Pub Date : 2021-12-03 DOI: 10.1109/dsins54396.2021.9670585
Xuhong Li, Z. Feng, Anyi Wang
{"title":"Research on MIMO-OFDM Deep Receiver in Mine Environment","authors":"Xuhong Li, Z. Feng, Anyi Wang","doi":"10.1109/dsins54396.2021.9670585","DOIUrl":"https://doi.org/10.1109/dsins54396.2021.9670585","url":null,"abstract":"With the advance of intelligent and digital society, the coal mine industry is also transitioning to intelligent. For the complex mine communication environment, communication signal transmission is always subject to various interference, based on this, people combine MIMO technology and OFDM technology proposed MIMO-OFDM technology, can effectively respond to various adverse factors in the mine environment. Based on this, MIMO-OFDM technology is proposed by combining MIMO technology and OFDM technology, which can effectively respond to various adverse factors in the mine environment. The superposition of the two technologies also leads to the improvement of system complexity, especially at the receiving end, which increases the workload of the receiver. In order to solve the receiver dilemma of MIMO-OFDM system, this paper proposes a MIMO-OFDM deep receiver based on deep learning. Simulation experiments show that the bit error rate is reduced by about three orders of magnitude when the SNR is 4dB, so the bit error performance of the MIMO-OFDM depth receiver proposed in this paper is far better than that of the traditional step receiver.","PeriodicalId":243724,"journal":{"name":"2021 International Conference on Digital Society and Intelligent Systems (DSInS)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126359685","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
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