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

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Application of Data Fusion Technology in Ice Cream Control System of Pouring Model 数据融合技术在冰淇淋浇注模型控制系统中的应用
Ding Shuyu, Chi Huanyu, Zhao Linqi
{"title":"Application of Data Fusion Technology in Ice Cream Control System of Pouring Model","authors":"Ding Shuyu, Chi Huanyu, Zhao Linqi","doi":"10.1109/DCABES50732.2020.00052","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00052","url":null,"abstract":"In this paper, the variance of two temperature observations is weighted and fused with the pouring model ice cream maker. The temperature data with large variance is given smaller weight and the variance with small variance is given larger weight. This data fusion method can obtain more reliable measurement results than the arithmetic mean. With the design method of SCR sequence control chart, the strategy to control overheating is compiled, and the intelligent PID control of R404a flow is carried out. The table of main data points, real-time monitoring chart of production and historical trend curve are given, which greatly increases the authenticity and accuracy of data and achieves ideal control effect.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"56 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":"116606823","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 DDPG Algorithm for Portfolio Management 投资组合管理中的DDPG算法
Fang Lin, Meiqing Wang, Rong Liu, Qianying Hong
{"title":"A DDPG Algorithm for Portfolio Management","authors":"Fang Lin, Meiqing Wang, Rong Liu, Qianying Hong","doi":"10.1109/DCABES50732.2020.00065","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00065","url":null,"abstract":"The purpose of portfolio management is to select a variety of financial products to form a portfolio and then manage these portfolios to achieve the purpose of diversifying risk and improving efficiency. In this paper, the Deep Deterministic Policy Gradient (DDPG) algorithm with neural networks is used, new states, actions and reward functions are proposed. The empirical analysis shows that this paper's method performs better than the method of investing with Q-learning algorithm, equally-weighted method, investing all funds in risk-free assets, or investing all funds in stocks.","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":"129122229","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 online cloud storage technology 在线云存储技术研究
Shan-Hua Zou, Ning Fang, Weiqi Gao
{"title":"Research on online cloud storage technology","authors":"Shan-Hua Zou, Ning Fang, Weiqi Gao","doi":"10.1109/DCABES50732.2020.00025","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00025","url":null,"abstract":"Cloud computing is a popular concept nowadays is rapidly plays an important role in all walks of life to seize. As a typical application of SaaS, online cloud storage provides cloud data storage and handling, the major Internet companies are facing the public with their cloud network disk, the user can be your own file upload to the cloud, and then will be able to access these files from a variety of devices and locations. Cloud network disk in the technology still need to consider quite a lot of problems, such as user authentication, physical data storage, space compression. At the same time, users are increasingly concerned about the privacy issues, data reliability issues and how to profit is also a need to consider the object. Through understanding to personal online cloud storage implementation may be met, by reading the relevant information and documents, and combined with the knowledge learned in daily study, from a certain extent, put forward the corresponding solutions.","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":"128675496","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 Summary of Power Quality Disturbance Detection and Classification Recognition Method Based on Transform Domain 基于变换域的电能质量扰动检测与分类识别方法研究综述
Qu Li-ping, He Chang-Long, Zhang Jie
{"title":"Research Summary of Power Quality Disturbance Detection and Classification Recognition Method Based on Transform Domain","authors":"Qu Li-ping, He Chang-Long, Zhang Jie","doi":"10.1109/DCABES50732.2020.00022","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00022","url":null,"abstract":"With the diversification of power connection forms and increasing types of loads, the power quality of the power system is deteriorating. Various indicators of power quality are essential for the normal operation of the power grid, especially the increasing harmonic pollution caused by various nonlinear loads. Therefore, power quality disturbance detection and classification recognition is the key to improve power quality. This article combines the current domestic and foreign power quality related standards, summarizes the feature extraction of electric energy quality disturbance based on transform domain, meanwhile recognize and classify the extracted feature vectors.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"59 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":"129842456","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
Real-time Energy Management of Microgrid Using Reinforcement Learning 基于强化学习的微电网实时能量管理
Wenzheng Bi, Yuankai Shu, Wei Dong, Qiang Yang
{"title":"Real-time Energy Management of Microgrid Using Reinforcement Learning","authors":"Wenzheng Bi, Yuankai Shu, Wei Dong, Qiang Yang","doi":"10.1109/DCABES50732.2020.00019","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00019","url":null,"abstract":"Driven by the development and application of smart grid and renewable energy sources (RES) generation technologies, microgrid (MG) plays an important role in environmental protection and optimization of the grid structure by integrating local loads and distributed energy. However, the stochastic and intermittent nature of RES have caused difficulties in the economic energy dispatching of MG. Inspired by reinforcement learning (RL) algorithms, this paper proposes a novel learning-based control MG scheduling strategy. Unlike traditional model-based methods that require predictors to estimate stochastic variables with uncertainties, the proposed solution does not require an explicit model. The proposed method is simulated in the environment composed of realistic data, and the effectiveness of the method is explained and verified.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"16 Suppl 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":"123722538","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: 7
A Discrete Random Drift Particle Swarm Optimization with Modularity in Community Detection 社团检测中具有模块化的离散随机漂移粒子群优化
Feng Wang, Li Sun, Jun Sun, Qidong Chen
{"title":"A Discrete Random Drift Particle Swarm Optimization with Modularity in Community Detection","authors":"Feng Wang, Li Sun, Jun Sun, Qidong Chen","doi":"10.1109/DCABES50732.2020.00070","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00070","url":null,"abstract":"In the field of complex networks, community detection is one of important research objects. To solve the problem of poor quality and the unstable result with community structure, we propose a community detection optimization algorithm based on random drift particle swarm optimization (RDPSO) algorithm (DRDPSO-net), in which we use discrete method to update the network information. Through the discrete particle evolution process and local greedy strategy with network topology character, DRDPSO-net can obtain a better quality of community division. In addition, several representative real networks are used to verify the performance of DRDPSO-net. By comparing them across several algorithms, DRDPSO-net has more desirable value among those algorithms. Furthermore, the experimental results demonstrated that DRDPSO-net obtain a valid and steady community structure.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"92 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":"126822197","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 neural network approach to indoor mobile robot localization 室内移动机器人定位的神经网络方法
Huijun Li, Ying Mao, Wei You, Bin Ye, Xinyi Zhou
{"title":"A neural network approach to indoor mobile robot localization","authors":"Huijun Li, Ying Mao, Wei You, Bin Ye, Xinyi Zhou","doi":"10.1109/DCABES50732.2020.00026","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00026","url":null,"abstract":"In order to improve the real-time performance and accuracy of localization for mobile robot in indoor environment, a neural network data fusion approach is proposed to eliminate the affection caused by errors from environment or measurements. In the approach, the odometry data are firstly obtained by calculating the collected encoder data through the Dead Reckoning (DR), then we fuse the odometry data and the lidar data by inputting them into a three-layer neural network. Experimental results show that the trained network improved the robot localization performance and its position accurate is within 6cm with good real time response.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"23 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":"116781960","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: 9
Visible and infrared image fusion based on visual saliency detection 基于视觉显著性检测的可见光与红外图像融合
Xizi Tan, Liqiang Guo
{"title":"Visible and infrared image fusion based on visual saliency detection","authors":"Xizi Tan, Liqiang Guo","doi":"10.1109/DCABES50732.2020.00043","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00043","url":null,"abstract":"Visible and infrared image fusion is widely adopted in navigation, object recognition and smart city. In this paper, we use the saliency object detection method to fusion the visible and infrared images. In consideration of the properties of the different type of image, we design two different visual saliency object detection methods to fuse the coefficients of detail image layers and coarse image layers. Then we can reconstruct the fused image from those coefficients. The experimental results indicate that the proposed fusion algorithm conforms to the human vision characteristics and has a strong comparability and effectiveness in both objective and subjective evaluation.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"243 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995304","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 review of healthcare system in Saudi Arabia 沙特阿拉伯医疗保健系统综述
Fahad M. Al-Anezi, Sharifah Alrajhi, Nouf M. Al-Anezi, D. Alabbadi, Ranya S Almana
{"title":"A review of healthcare system in Saudi Arabia","authors":"Fahad M. Al-Anezi, Sharifah Alrajhi, Nouf M. Al-Anezi, D. Alabbadi, Ranya S Almana","doi":"10.1109/DCABES50732.2020.00088","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00088","url":null,"abstract":"This paper has reviewed the healthcare system in Saudi Arabia from different perspectives. The study conducted in this paper is divided in to three parts. The first part focuses on identifying and analysing the current status of healthcare system in Saudi Arabia with a focus on the resources, budget, public health status, structure, and health activities. The second part of the study focuses on identifying and analysing the various challenges faced by the Saudi healthcare sector which includes technology implementation, privatization, lack of workforce, MOH transformation, insurance, accessibility to healthcare, technology integration and change in the disease patterns. The third part of the study focused on analysing the new healthcare strategy developed as a part of Vision 2030 initiative. The study has found that there are many challenges that have to be addressed in the healthcare system including lack of resources, workforce; increasing healthcare expenditures; lack of technology resources; need for improving accessibility to healthcare in rural and border areas.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"13 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":"133153520","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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