{"title":"Optimal Capacity Planning of Isolated Multi-energy Microgrid Considering Multi-dimensional Uncertainties","authors":"Xianqing Chen, Wei Dong, Q. Gao, Qiang Yang","doi":"10.1109/DCABES50732.2020.00075","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00075","url":null,"abstract":"In recent years, microgrid technology has gradually been proved to be an effective method to solve the power supply problem in remote areas. The optimization goal of the planning model is to minimize the investment, operation and maintenance costs of the microgrid system, and the constraints include system power balance constraint, ‘abandon wind and light’ constraint, energy supply reliability constraint, etc. Then a mixed-integer nonlinear programming model is established, and the particle swarm optimization algorithm is used to find the optimal solution of this problem, after calculation, the optimal capacities of the WT, PV and battery in the microgrid are obtained. Simulation results indicate that the optimal configuration capacity obtained can minimize the total cost of the system while ensuring energy supply reliability and reducing wind and light abandonment as much as possible.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"43 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":"128827528","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}
{"title":"Communication encryption scheme in multi-embedded systems based on distributed architecture","authors":"Shou Yingjie, Zhang Xihuang","doi":"10.1109/DCABES50732.2020.00017","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00017","url":null,"abstract":"With the increasing use of Internet-based embedded devices, multi-embedded systems appear in the form of distributed architectures, forming a large-scale intelligent system. However, this trend inevitably connects the information and infrastructure of a large number of embedded systems to the Internet, so that the data security threats faced by many. In this article, by discussing the requirements for node user access control on embedded devices, the inherent properties of distributed multi-embedded system environment requires support for multi-authority attribute-based encryption (ABE) to achieve access control for each node. Therefore, a secure node access control solution is raised for data transmission in the IoT environment. This solution is a hidden user access control solution. It sustains multi-authority ABE and is highly scalable. In addition, we certificated that the proposed solution provides greater functional characteristics while its performance is comparable to or better than existing cloud computing solutions.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"213 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":"122459433","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}
{"title":"A fast shortest path method based on multi-resolution raster model","authors":"Qiuling Tang, W. Dou","doi":"10.1109/DCABES50732.2020.00074","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00074","url":null,"abstract":"The shortest path problem based on spatial geography is a research hotspot in the intersection of GIS and path planning. In order to improve the efficiency of solving the shortest path based on high-precision terrain data, this paper proposes a fast spatial terrain shortest path based on multi-resolution DEM data. This method uses different multi-resolution DEM raster data models to represent the same terrain. First, the coarse-grained shortest path is solved on the low-resolution terrain, then the shortest path between adjacent grids is solved in parallel on the high-resolution terrain data according to the corresponding mapping mode. This method reduces the search range between grids and greatly improves the efficiency of solving the shortest path. Experimental results show that the method proposed in this paper can not only solve the optimal path on the DEM raster data structure, but also improve the efficiency of directly solving the shortest path on a large-scale high-resolution terrain.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"119 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":"123585322","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}
{"title":"Secretariat DCABES 2020","authors":"Zhanjie Zhang, Shipeng Zhang","doi":"10.1109/dcabes50732.2020.00009","DOIUrl":"https://doi.org/10.1109/dcabes50732.2020.00009","url":null,"abstract":"","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"51 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":"121507782","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}
{"title":"Use of social media by healthcare providers in Saudi Arabia: reasons and usefulness for their professional development","authors":"Saja Al-Nahdi, T. Alanzi, H. Alhodaib","doi":"10.1109/DCABES50732.2020.00091","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00091","url":null,"abstract":"The objective of this study was to examine the use of social media by healthcare providers in Saudi Arabia, and the reasons and usefulness for their professional development. In order to carry out this cross-sectional study it was distributed an online survey among 400 healthcare providers from different hospitals. More than half of the respondents were females and belonged to different cities from Saudi Arabia. 29% of the healthcare providers worked as allied health personnel, 28% of them were nurses, 19% physicians, 13% pharmacists and 13% administrative personnel. The respondents used the following social media: Instagram (52%), Twitter (51%), WhatsApp (50%), Snapchat (50%), YouTube (49%), Facebook (31%), LinkedIn (3%) and Telegram (2%). The key reasons for using social media were new actualizations (53%), knowledge sharing (51%), networking (32%) and professional development (29%).","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"73 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":"132971574","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}
{"title":"Research on the Application of Transparent Encryption in Distributed File System HDFS","authors":"Fei Jiang, Zhenggao Pan, Qingzhao Li, Linsheng Huang, Dongyan Zhang","doi":"10.1109/DCABES50732.2020.00011","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00011","url":null,"abstract":"More and more companies are turning to Hadoop to store and deal with their most valuable data, the protection and management of data begin to face increasing security risks. As a data protection technology closely related to big data platform, HDFS transparent encryption technology has certain practical value. In this paper, the HDFS transparent encryption technology is studied, the implementation principle of HDFS transparent encryption technology is introduced, the security and performance of the HDFS transparent encryption technology are analyzed, and the encryption technologies at different levels of the big data platform are compared. Research shows that HDFS transparent encryption technology has the advantages of high performance, transparent application and easy deployment, but there are still potential security problems in the application process.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"15 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":"128107430","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}
{"title":"A Quantum Particle Swarm Optimization Algorithm with Available Transfer Capability","authors":"Quan Liping, Meng Yan, Li Dong-heng, Xue Hai-Bo","doi":"10.1109/DCABES50732.2020.00076","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00076","url":null,"abstract":"Quantum particle swarm algorithm integrated the quantum behavior with particle swarm optimization algorithm, is used to settle the majorization question of calculating available transmission capability. And by using the software of Matlab to IEEE-30 bus system as an example of the simulation, after comparing the simulation results with the traditional particle swarm optimization algorithm results, we dissected the optimization performance and convergence speed of the above two algorithms, and verify the effectiveness of quantum particle swarm algorithm to settle the majorization question of the available transmission capability.","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":"133231806","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}
{"title":"Cascaded Denoising Convolutional Auto-Encoders for Automatic Recovery of Missing Time Series Data","authors":"Yuanyi Chen, Yubin Wang, Qianmei Yang","doi":"10.1109/DCABES50732.2020.00080","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00080","url":null,"abstract":"This paper proposes a kind of supervised cascaded denoising convolutional auto-encoders (CDCAE), aiming to accurately recover the missing load data in electric power system. The one-dimensional load data are reshaped as two-dimensional image for data enhancement, which enables the convolutional neural network (CNN) to understand the semantics of load data. Numerical results in comparison with similar day filling (SDF) clearly validate the effectiveness of the proposed CDCAE in accuracy.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"35 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":"121630305","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}
Q. Gao, Yizhi Zhu, Jinhang Zhou, Xianqing Chen, Qiang Yang
{"title":"Scenario-based Multi-Energy Power Distribution System Planning Solution for Energy Loss Minimization","authors":"Q. Gao, Yizhi Zhu, Jinhang Zhou, Xianqing Chen, Qiang Yang","doi":"10.1109/DCABES50732.2020.00015","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00015","url":null,"abstract":"This paper presented a distributed system planning (DSP) solution for identifying an optimal fuel mix in the electric power distribution networks with the minimized power line losses. The optimal fuel mix consists of both renewable energy-based distributed renewable generators, i.e. wind turbines and photovoltaic as well as the conventional fuel-based DG units. In this work, the method based on the heuristic moment matching (HMM) is firstly adopted to generate WT-PV-LD operational scenarios that combine all system uncertainties of DG generation and power demand. Such a scenario matrix is then incorporated into the robust DSP problem formulation. The proposed solution is evaluated using a 53 bus test network. Finally, the HMM-based planning approach is validated through simulation experiments and the effectiveness is confirmed.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"6 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":"125548454","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}
{"title":"Finite-time Combination Projective Synchronization for Memristive Systems","authors":"Yibo Wang, F. Min, Hongliang Zheng","doi":"10.1109/DCABES50732.2020.00032","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00032","url":null,"abstract":"In this article, based on the sliding-mode controller, the finite-time combination synchronization of three memristive FitzHugh-Nagumo(FHN) systems is carried out. This controller drives the system to achieve combination synchronization faster. The synchronization characteristics are investigated by the error curve of the combination systems, the curve of the sliding mode switching surface, and relationship curves of system variables, respectively. Numerical results are certified the correctness of the controller.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"9 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":"115423832","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}