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

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Research on new fuzzy deep learning model and its construction technology 新型模糊深度学习模型及其构建技术研究
Xiaofeng Yao
{"title":"Research on new fuzzy deep learning model and its construction technology","authors":"Xiaofeng Yao","doi":"10.1109/DCABES57229.2022.00064","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00064","url":null,"abstract":"The application of deep learning in adaptively extracting corresponding feature expressions from a large number of unbalanced data sets for classification has become a hot topic of research and discussion at home and abroad in recent years. The purpose of this paper is to study the new model of fuzzy deep learning and its construction technology. A vehicle detection algorithm based on fuzzy deep belief network is proposed. Deep belief fuzzy networks can gain the ability to integrate prior knowledge by introducing fuzzy set theory into deep belief networks. It is a deep framework that combines the power of abstract restricted Boltzmann machines with the power of fuzzy set classification. Constrained Boltzmann functions can achieve fast data dimensionality reduction, and fuzzy sets can improve the classification accuracy of deep learning frameworks based on membership functions for each class. The experimental results on the wine dataset show that the detection algorithm based on fuzzy deep belief network proposed in this paper can classify faster and more accurately.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"63 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":"124008696","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
Application of Internet of Things Technology in Power Security Control 物联网技术在电力安全控制中的应用
Meiyu Pang, L. xilinx Wang
{"title":"Application of Internet of Things Technology in Power Security Control","authors":"Meiyu Pang, L. xilinx Wang","doi":"10.1109/DCABES57229.2022.00022","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00022","url":null,"abstract":"People's work, study and daily life are closely related to electricity, which puts forward higher requirements for power safety control. How to ensure power safety has also become the focus of social attention. The use of Internet of things technology in power security can improve work efficiency, reduce resource waste and avoid safety accidents. Starting from the importance of power security management and control, this paper explores the application of Internet of things technology in power security management and control under the background of big data, and investigates the impact of the use of Internet of things technology on power security management and control.","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":"125884039","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
Regional Differences in the Development of Digital Inclusive Financial Services in China 中国数字普惠金融服务发展的区域差异
Y. Xiong, Haifangming Yu, A. Xu
{"title":"Regional Differences in the Development of Digital Inclusive Financial Services in China","authors":"Y. Xiong, Haifangming Yu, A. Xu","doi":"10.1109/DCABES57229.2022.00053","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00053","url":null,"abstract":"Based on the concept of digital inclusive finance, this paper profoundly analyzes the spatial and temporal patterns and regional differences in developing Digital inclusive finance in China. The development index of digital inclusive finance from 2011 to 2020 published by The Digital Finance Research Center of Peking University was selected to measure the development level of digital inclusive finance in all provinces, and the Theil index was adopted to measure the regional gap in the development of digital inclusive finance in 31 provinces and cities of China. The study found noticeable regional differences in the development level of digital inclusive finance in China, which was narrow over time. Regions with the lower development level of digital inclusive finance were catching up with regions with higher levels faster. Therefore, it is suggested that the government formulate development policies based on the advantages and disadvantages of developing digital inclusive finance in the region and accelerate the construction of digital financial infrastructure.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"3 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":"126533731","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
An Online Classroom Question Answering Evaluation System Based on Voiceprint and Behavior Recognition 基于声纹和行为识别的在线课堂问答评价系统
Xiangyun Wang, Jieyu Liang, Xiang Xu, Xiang Li, Quanyin Zhu
{"title":"An Online Classroom Question Answering Evaluation System Based on Voiceprint and Behavior Recognition","authors":"Xiangyun Wang, Jieyu Liang, Xiang Xu, Xiang Li, Quanyin Zhu","doi":"10.1109/DCABES57229.2022.00015","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00015","url":null,"abstract":"Faculty of Xiangyu proposed and designed an online class question answering and judgment system based on convolutional neural network behavior recognition, voice pattern recognition and dialect recognition for the wide development of online teaching. This design collects students' voice patterns and behaviors when answering questions through microphone, camera and other equipment, identifies and analyzes students' voice patterns and behaviors through computer algorithm, and judge's students' mastery of knowledge points.","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":"130416302","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
Continuous-variable measurement-device-independent quantum key distribution with passive state in oceanic turbulence 海洋湍流中无源态连续变测量设备无关量子密钥分布
Guojun Chen, Jianmin Yi, Ying Guo
{"title":"Continuous-variable measurement-device-independent quantum key distribution with passive state in oceanic turbulence","authors":"Guojun Chen, Jianmin Yi, Ying Guo","doi":"10.1109/DCABES57229.2022.00025","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00025","url":null,"abstract":"Quantum communication, as an absolutely secure communication method, has been widely studied in recent years. While CVQKD is easier to realize and has efficient information transmission, has attracted more attention than DVQKD. And there is another kind of detection strategy which places the detector on a third party called continuous-variable measurement device independent quantum key distribution(CV -MDI), can lower the cost of implementation because it don't need such a high precision Gaussian modulator and thus can be commercialized easily. We apply a CV -MDI with passive-state preparation protocol to a oceanic turbulence model, and then we analyze the secret key rate and other performance of the protocol in the particular scenario.","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":"129859073","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 Medical Big Data of Health Management Platform Based on Hadoop 基于Hadoop的健康管理平台医疗大数据研究
Xuan Zheng, Xiaopan Ding
{"title":"Research on Medical Big Data of Health Management Platform Based on Hadoop","authors":"Xuan Zheng, Xiaopan Ding","doi":"10.1109/DCABES57229.2022.00062","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00062","url":null,"abstract":"The digitization process in the medical field continues to advance in depth and gradually enters the stage of smart medical treatment. Starting from the construction of the medical big data of health platform, this paper aims at the current problems of massive medical heterogeneous data resources and sharing, the difficulty of effective fusion of multi-source heterogeneous information in intelligent health services, and the real-time early warning of diseases, combined with the necessity of Hadoop platform and clinical medical data sharing, the HDFS distributed file system is used to manage metadata to improve the efficiency of integrated management of massive data; the data sharing mode of HBase is adopted to improve the degree of data sharing, with the HBase engine, Hive engine, SQLServer engine, etc., to meet the intelligence of different business data between heterogeneous, establish a data center with storage and management of patient health records and disease early warning as the core, and propose a big data management platform based on Hadoop to promote the scientific, professional, digital and refined operation and management of hospitals.","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":"114066390","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
An Improved Hybrid Method for Power System Reliability Assessment 电力系统可靠性评估的一种改进混合方法
Liping Qu, Tailu Gao, Jie Zhang, Bin Liu, Wenchao Cui
{"title":"An Improved Hybrid Method for Power System Reliability Assessment","authors":"Liping Qu, Tailu Gao, Jie Zhang, Bin Liu, Wenchao Cui","doi":"10.1109/DCABES57229.2022.00013","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00013","url":null,"abstract":"In order to improve the sampling efficiency of the non-sequential Monte Carlo simulation method, an improved hybrid method combining the analytical method and the significant Latin hypercube sampling method is proposed based on the idea of state space partitioning. The method partitions the system state space based on the determination of the significant state subspace to avoid sampling the zero-fault state of the system. The reliability index of the significant state subspace is efficiently solved by the analytical method, and the remaining state subspace is sampled by the significant Latin hypercube sampling method. Finally, the correctness and efficiency of the proposed algorithm is verified by evaluating the reliability of the IEEE-RTS system.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"49 3 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":"116386927","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
Fatigue detection for public transport drivers under the normalization of epidemic prevention 防疫常态化下公共交通驾驶员疲劳检测
Zhe Yu, Lei Li, Lijun Xu, Kansong Chen
{"title":"Fatigue detection for public transport drivers under the normalization of epidemic prevention","authors":"Zhe Yu, Lei Li, Lijun Xu, Kansong Chen","doi":"10.1109/DCABES57229.2022.00032","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00032","url":null,"abstract":"Several studies have shown that fatigue driving is one of the important causes of public transport safety accidents. With the outbreak of the COVID-19, the wearing of masks by public transport drivers presents new challenges for computer-based visual fatigue detection. In order to achieve the goal of accurately capturing the landmark information of the face even when the face is occluded by a large area, we adopt the DNN-based face detection method which has the highest accuracy and the best occlusion resistance. When the driver's face is blocked, the landmark information of the blocked face can be accurately detected by using our optimized face landmark detector. The accuracy rate of landmark recognition can reach 97.80%. On this basis, we calculate the driver's eye information, mouth information and the driver's head deflection angle information in real time as the judgment indicators of the degree of fatigue to comprehensively evaluate the driver's fatigue state. And use mathematical methods to fuse indicators in real time, classify the driver's fatigue state according to the value of the fusion indicators, and adopt different early warning methods for different levels of fatigue. In addition, in order to further improve the accuracy of the detection results and exclude the influence of other facial behaviors on our fatigue judgment indicators, we propose a kinetic energy calculation formula for facial organs based on the improved optical flow method. According to the different kinetic energy of facial organs in different states, which can accurately distinguish the different behaviors of the same facial organs such as blinking and closing eyes, yawning and speaking, which significantly increases the robustness and generalization ability of the detection program. The final experimental results show that the correct rate of the method for determining the degree of fatigue of the driver and passengers can reach 98.40% and 92.30% respectively when the driver does not wear a mask or wears a mask.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"35 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":"116515069","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
Reliability Analysis of Swarm Self-security Intelligence System Based on Fault Tree and Monte Carlo Simulation 基于故障树和蒙特卡罗仿真的群体自安全智能系统可靠性分析
Hu Jie, Lu Kezhong, Sui Huajie
{"title":"Reliability Analysis of Swarm Self-security Intelligence System Based on Fault Tree and Monte Carlo Simulation","authors":"Hu Jie, Lu Kezhong, Sui Huajie","doi":"10.1109/DCABES57229.2022.00054","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00054","url":null,"abstract":"Group autonomous security intelligent system is an improvement of the traditional security system. By establishing group autonomous security intelligent system, traditional security system fault tree model, using the Monte Carlo method to simulate the fault tree model, finally through the fault tree simulation calculation, matlab group autonomous security intelligent system and traditional security system reliability curve, inefficiency curve, the average fault-free working time (MTBF) and the importance of the components. The results show that the group autonomous security intelligent system lasts longer and the average fault-free working time is longer than the traditional security systems.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"229 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":"114587742","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 Modeling Method Of Transportation Cyber-Physical System 交通信息物理系统建模方法研究
Xiaosheng Cai, Haoduo Chen, Lichen Zhang
{"title":"Research On Modeling Method Of Transportation Cyber-Physical System","authors":"Xiaosheng Cai, Haoduo Chen, Lichen Zhang","doi":"10.1109/DCABES57229.2022.00063","DOIUrl":"https://doi.org/10.1109/DCABES57229.2022.00063","url":null,"abstract":"Cyber-Physical Systems (CPS) has both continuous process and discrete operation in the application of traffic CPS. Therefore, based on the extended model theory, this paper introduces hierarchical model, colored set and timed attribute on the basis of prototype Petri Net, and proposes a Hierarchy Colored Timed Petri Net (HCTPN) model. In order to verify the usability of the proposed model, we modeled the vehicle and road units of Bus Rapid Transit (BRT), and simulated the scene of multiple passengers boarding. The final experiment showed that the proposed improved model could solve the safety problem of passengers boarding and alighting.","PeriodicalId":344365,"journal":{"name":"2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"33 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":"134146438","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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