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2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)最新文献

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Organizing Committee DCABES 2020 DCABES 2020组委会
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/dcabes50732.2020.00007
Dcabes, Wenqing Xu, Xiaojun Wu
{"title":"Organizing Committee DCABES 2020","authors":"Dcabes, Wenqing Xu, Xiaojun Wu","doi":"10.1109/dcabes50732.2020.00007","DOIUrl":"https://doi.org/10.1109/dcabes50732.2020.00007","url":null,"abstract":"","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130487285","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
Fault Diagnosis Approach for Pneumatic Control Valves Based on Modified Expert System 基于改进专家系统的气动控制阀故障诊断方法
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00035
Daoming Zhang, J. Hao, Liming Chen, Linna Zhou
{"title":"Fault Diagnosis Approach for Pneumatic Control Valves Based on Modified Expert System","authors":"Daoming Zhang, J. Hao, Liming Chen, Linna Zhou","doi":"10.1109/DCABES50732.2020.00035","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00035","url":null,"abstract":"This paper studies the fault diagnosis method of pneumatic control valve. Firstly, the faults characteristics of pneumatic control valves are analyzed according to the operating principle and status of pneumatic control valves; secondly, the expert experience of the fault diagnosis of pneumatic control valves is summarized, which is verified according to the operating mechanism; thirdly, a fault diagnosis approach for pneumatic control valves based on modified expert system is proposed, by combining particle swarm optimization (PSO) algorithm with expert rules. Finally, the availability and advantages of the proposed approach is verified by the designed valve experimental system platform. The results show that compared with the basic expert system-based method, the modified method improves the accuracy and reduces the false negative rate effectively.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129679920","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
Analysis of Public Opinion on Weibo and Construction of Knowledge Gragh 微博舆情分析与知识图谱构建
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00082
Dandan Wei, Chunxiao Zhao, Boxuan Zhang, Jialin Ma, Quanyin Zhu, Xinxin Xu, Shengbiao Wang
{"title":"Analysis of Public Opinion on Weibo and Construction of Knowledge Gragh","authors":"Dandan Wei, Chunxiao Zhao, Boxuan Zhang, Jialin Ma, Quanyin Zhu, Xinxin Xu, Shengbiao Wang","doi":"10.1109/DCABES50732.2020.00082","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00082","url":null,"abstract":"Weibo is gradually replacing traditional media, becoming the main way for netizens and youth groups to obtain and exchange information. Weibo public opinion will have a great impact on society. This system is mainly based on the topic of public opinion mining and sentiment analysis, constructing a topic and sentiment knowledge graph on Weibo public opinion to provide a basis for guiding the direction of Weibo public opinion.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129796902","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
Convolutional Neural Network based Diagnosis of Electric Rotating Machines using Field Sensor Signals 基于卷积神经网络的旋转电机磁场传感器诊断
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00028
Mengsheng Wang, Yanbin Zhang, Xin Wang, Kuilin Fu, Yuhan Zhang
{"title":"Convolutional Neural Network based Diagnosis of Electric Rotating Machines using Field Sensor Signals","authors":"Mengsheng Wang, Yanbin Zhang, Xin Wang, Kuilin Fu, Yuhan Zhang","doi":"10.1109/DCABES50732.2020.00028","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00028","url":null,"abstract":"The safe operation of power substation equipment is fundamental for guaranteeing the performance and reliability of the power systems. However, the electric equipment and devices are confirmed prone to component failure and breakdown that may directly lead to the power outage. In this paper, a cost-effective solution based on the convolutional neural network is presented for the analysis of faults of electric rotating machines. To reinforce the robustness under a noisy environment, a linear discriminant criterion based metric learning technique is also employed to improve the loss function during the training process. The developed approach can automatically extract self-learned fault features and conduct fault diagnosis. The developed solution has been carefully evaluated through simulation and experiments to quantify the performance. The experimental results demonstrated the effectiveness of the proposed solution for fault diagnosis.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132918152","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
A Novel Parallelized LSTM For Detecting Internet Food Safety 一种新型并行LSTM网络食品安全检测方法
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00072
Qing-An Huang, Jun Sun, Jianhua Wang
{"title":"A Novel Parallelized LSTM For Detecting Internet Food Safety","authors":"Qing-An Huang, Jun Sun, Jianhua Wang","doi":"10.1109/DCABES50732.2020.00072","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00072","url":null,"abstract":"Food safety is a major problem concerning people's livelihood. With the advent of the era of Internet, many people choose to order food online, while the regulation of online food safety is faced with enormous challenges. Through the analysis of the comments data from third-party platform, a food safety evaluation dataset of violation and risk is constructed. In order to find the relationship between the comment data and risks level of online food, a novel parallelized distributed long and short term memory network model is proposed to predict the risk value of merchants, and an early warning system for network takeout merchants is established.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133819639","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
Sponsors DCABES 2020
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/dcabes50732.2020.00010
{"title":"Sponsors DCABES 2020","authors":"","doi":"10.1109/dcabes50732.2020.00010","DOIUrl":"https://doi.org/10.1109/dcabes50732.2020.00010","url":null,"abstract":"","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114157718","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
Heuristic Moment Matching based Scenario Generation for Regional Energy Network Planning considering the Stochastic Generation and Demands 考虑随机发电和需求的启发式矩匹配区域能源网络规划情景生成
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00027
Zhonghua Chen, Qiang Xu, Q. Hu, Xianqing Chen, Qiang Yang
{"title":"Heuristic Moment Matching based Scenario Generation for Regional Energy Network Planning considering the Stochastic Generation and Demands","authors":"Zhonghua Chen, Qiang Xu, Q. Hu, Xianqing Chen, Qiang Yang","doi":"10.1109/DCABES50732.2020.00027","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00027","url":null,"abstract":"In this paper, the Heuristic Moment Matching (HMM) is adopted and evaluated in the investigation of regional energy network planning considering the uncertainties introduced by the stochastic generation and demands. The adoption of the scenario generation solution can effectively include the uncertainties in the system planning process in the multi-energy networks, including wind turbines (WTs) and solar photovoltaic (PVs). The scenario generation approach is implemented and the effectiveness is validated through numerical experiments. Finally, the scenario generation approach is adopted through a 53 bus test network and the effectiveness is confirmed through comparison against the conventional planning solution.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489512","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
Denoise-Based Over-Sampling for Imbalanced Data Classification 基于噪声的不平衡数据超采样分类
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00078
Wang Dan, L. Yian
{"title":"Denoise-Based Over-Sampling for Imbalanced Data Classification","authors":"Wang Dan, L. Yian","doi":"10.1109/DCABES50732.2020.00078","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00078","url":null,"abstract":"Imbalanced data classification has always been a hot topic in traditional machine learning. The usual method is oversampling. Its main idea is to randomly synthesize the new minority samples between the minority samples and their neighboring samples, to put the data in a particular state of equilibrium. The existing improved methods have improved the classifier's performance to some extent, but most of the focus is on the minority sample. In this paper, a denoise-based oversampling method (DNOS) is proposed, which performs different denoise processes for the majority and minority samples. Then, it is combined with ADASYN to oversampling the data. Experimental results show that DNOS has a better classification effect than ADASYN.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"305 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122236237","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
An Analysis System of Students' Attendence State in Classroom Based on Human Posture Recognition 基于人体姿态识别的学生课堂出勤状态分析系统
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00063
Yuanhang Feng, Lei Zhang, Yuncheng Zhang, Xiang Li, Quanyin Zhu
{"title":"An Analysis System of Students' Attendence State in Classroom Based on Human Posture Recognition","authors":"Yuanhang Feng, Lei Zhang, Yuncheng Zhang, Xiang Li, Quanyin Zhu","doi":"10.1109/DCABES50732.2020.00063","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00063","url":null,"abstract":"Listening state is a value reflecting the efficiency of lectures. As various human gesture recognition algorithms proposed, we could make advantages of these algorithms to construct a system to evaluate the listening state of the students. With the spring of many outstanding algorithm of machine vision, the basic theories have reached matured to complete some complex assignment. The system proposed here is a kind of integration of these technologies, which also need innovation when it's actually implemented. Also, wasted surveillance video resources universally existed in our society, which should be made advantage of but not. Especially in the scene of the classrooms, the schools hold tremendous surveillance video resources. The system is proposed to analyze the state of the students through the human posture recognition. Its basic theory is the recognition of the human body key points, including the rather important points of one's body. We could extract these information from the videos firstly, and make some analysis such as the computation of some specific angles. After these treatment of data, we could get rough results of the state of the students, whose correct rate could be higher through machine learning. There are much efforts to be made before the system could fit the requirement of the specific environment, such as semantic segmentation and super resolution. The system would also have clear visualization when finally faces customers.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124857893","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
Upgrade your network in-place with deformable convolution 使用可变形卷积升级您的网络
2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00069
Wei Xi, Li Sun, Jun Sun
{"title":"Upgrade your network in-place with deformable convolution","authors":"Wei Xi, Li Sun, Jun Sun","doi":"10.1109/DCABES50732.2020.00069","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00069","url":null,"abstract":"Improving the performance of the network on is a topic that all deep learning researchers are working together. More new algorithms are proposed for different tasks. But most of these can't avoid spending a lot of time retraining the network model. Deformable convolution is a convolution structure that can extract better features of objects. This paper proposes a new method that can upgrade the standard convolution part of the network to the deformable convolution in-place, inherit the original model parameters, and reduce the time and computational resource cost for retraining. We analyzed the effects of introducing deformable convolution at different depths of the network on speed and performance. And on the detection and semantic segmentation tasks of the PASCAL VOC and COCO, a lot of experiments were carried out on our methods, and have an effective improvement.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"48 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982575","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
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