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

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Social Media Use for Health Reasons among Health Information Management and Technology Graduates from Imam Abdulrahman bin Faisal University 伊玛目阿卜杜勒拉赫曼·本·费萨尔大学健康信息管理与技术专业毕业生的社交媒体使用与健康原因
Weam Al-Fayez, T. Alanzi
{"title":"Social Media Use for Health Reasons among Health Information Management and Technology Graduates from Imam Abdulrahman bin Faisal University","authors":"Weam Al-Fayez, T. Alanzi","doi":"10.1109/DCABES50732.2020.00087","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00087","url":null,"abstract":"The aim of this study is to investigate the social media usage for health reasons among Department of Health Information Management and Technology (HIMT)graduates. A cross-sectional web-based survey was conducted with 267 HIMT graduates. The survey contains questions in a multiple-choice format. The data analyses were conducted by employing a basic descriptive data based on frequencies and proportions.125 HIMT graduates responded to the survey of this study. 72.4% are employees, and almost half of them are married. The respondents were working in different areas: health informatics (37%), quality and improvement (25.5%), information and technology (16.8%), research (9.2%), instruction (5.9%), and other areas of the field (5.9%). More than half of the participants considered that the healthcare organizations that use social media make easier the communication between physicians and patients. Similarly, the majority of HIMT graduates have searched for online information about their current health status, dieting or physical fitness topics, and preferred to use social sites in case of medical emergencies. Also, more than a half of the participants believed that the information posted on media sites is educational, important and reliable.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"135 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":"124225490","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
Power Plan Investment Plan Based on Simulated Annealing Algorithm 基于模拟退火算法的电力计划投资规划
Liu Songning, Liu Lingxuan, L. Yaoyao
{"title":"Power Plan Investment Plan Based on Simulated Annealing Algorithm","authors":"Liu Songning, Liu Lingxuan, L. Yaoyao","doi":"10.1109/DCABES50732.2020.00056","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00056","url":null,"abstract":"In this paper, the information provided by the annex is data support, based on matlab and Excel software, based on the simulated annealing algorithm, the mathematical model of the power planning investment plan is established. Taking the mathematical model of power planning investment plan as the leading analysis, starting from the engineering economic analysis, we can find out the influence of “time” value, and then study the single-stage power expansion planning from different angles, then extend the power expansion planning to multiple stages, and finally according to the analysis. The calculation analyzes the impact of renewable energy access to the power system and provides a new solution to the enormous challenges brought about by the numerous components of the actual power system.","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":"117348565","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 and Application of Multi-source Data Fusion Identity Authentication System 多源数据融合身份认证系统的研究与应用
Ma Tianlong, Xu Yingying, Zhu Yanni, Xu Xinxin, Zhu Quanyin, Gao Shangbing, Wan Shengbiao
{"title":"Research and Application of Multi-source Data Fusion Identity Authentication System","authors":"Ma Tianlong, Xu Yingying, Zhu Yanni, Xu Xinxin, Zhu Quanyin, Gao Shangbing, Wan Shengbiao","doi":"10.1109/DCABES50732.2020.00083","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00083","url":null,"abstract":"Aiming at the problem of low efficiency and time-consuming of the traditional college attendance sign-in method, an attendance system based on face recognition, wireless network verification, fingerprint and voice verification was proposed and designed. This design splits the attendance system into four functions: wireless network list acquisition verification, face recognition, voice verification, fingerprint acquisition, and sign-in record storage. Based on this, a database for storing data and a graphical interface are designed to achieve The function of the time and attendance system.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"21 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":"125553710","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
Evolution of Issues in Distributed Systems: A Systematic Review 分布式系统中问题的演变:系统回顾
Maha Alshammari
{"title":"Evolution of Issues in Distributed Systems: A Systematic Review","authors":"Maha Alshammari","doi":"10.1109/DCABES50732.2020.00018","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00018","url":null,"abstract":"The globalization has increased the demand for complex distributed systems that can be accessed at multiple locations by multiple users. However, the issues pertaining to the distributed systems need specific attention in order to minimize the performance failures and increase the Quality of Service. This study can be a useful source of information to understand the evolution of the issues associated with distributed systems, and the current state of issues, which can help the developers in managing the issues during the development and maintenance. This study reviewed various issues related to distributed systems under 12 themes. We found that Security and Privacy, quality of service, resource management, and synchronization issues are a few major subjects that are being focused on current research studies. This study has concluded that the issues relating to distributed systems and issues related to the changing requirements and technologies are evolving from time to time according to each stage of development of distributed systems such as the design phase or the maintenance phase, in addition to its changing according to the new developments in the technology.","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":"116777003","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
The composition function and realization of maritime distress personnel search system 海上遇险人员搜索系统的组成、功能及实现
Jin Ming
{"title":"The composition function and realization of maritime distress personnel search system","authors":"Jin Ming","doi":"10.1109/DCABES50732.2020.00039","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00039","url":null,"abstract":"This project plans to design a kind of identification system which can be used to identify the maritime personnel in distress and equipment to be rescued under the clear sea surface. The system can be carried on unmanned aerial vehic le (UAV), and the existing YOLOV3 algorithm is used for ta rget recognition. It can identify the maritime distress person nel and rescue equipment wearing life jackets under clear se a surface, so as to assist in further search and rescue decision making, and solve or partially resolve the existing problems i n search and rescue technology.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"17 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":"125085718","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
Short-term prediction of BP neural network based on difference method 基于差分法的BP神经网络短期预测
Hu Menghui, L. Yian
{"title":"Short-term prediction of BP neural network based on difference method","authors":"Hu Menghui, L. Yian","doi":"10.1109/DCABES50732.2020.00024","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00024","url":null,"abstract":"Aiming at the problem of short-term time series forecasting, a neural network based on the difference method(DMBP) is proposed. And then using sunspot data and Mackey-Glass chaotic time series data to test the performance of DMBP. In the experiment, DMBP, BP neural network algorithms, support vector regression machine (SVR),and autoregressive integrated moving average model (ARIMA) are compared in two cases with a prediction length of 2, 5. Experiment resaults show that the prediction accuracy of the DMBP algorithm is significantly improved compared to the BP neural network, and it is far better than SVR. It is equivalent to the ARIMA algorithm in short-term prediction, but the DMBP modeling process is simpler than ARIMA.","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":"122744123","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
Semantic Segmentation of Brain MRI Based on U-net Network and Edge Loss 基于U-net网络和边缘损失的脑MRI语义分割
Zu-min Wang, Leixin Zhang
{"title":"Semantic Segmentation of Brain MRI Based on U-net Network and Edge Loss","authors":"Zu-min Wang, Leixin Zhang","doi":"10.1109/DCABES50732.2020.00048","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00048","url":null,"abstract":"Brain MRI analysis is of great significance for extracting clinical information from patients and providing diagnostic recommendations for doctors. However, brain MRI is difficult to detect and segment because of its complex structure and great difference. To deal with these problems, in the field of medical image semantic segmentation, the model based on U-net structure in the depth neural network model has excellent performance. In this work, in order to increased the influence of image edge pixels on segmentation results and improved the accuracy of medical image segmentation, we provided a more optimized U-net model that can be applied to medical image semantic segmentation. The model integrated the convolution block attention module and after the feature extraction, combined with the edge detection network, the segmentation effect of edge pixels was enhanced. At the same time, by improving the residual convolution block, the amount of parameters was greatly reduced. On the BraTS-2017 data set, we had good experiment results.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"2 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":"127784827","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
Dual Graph regularized NMF with Sinkhorn Distance 具有沉角距离的对偶图正则化NMF
Yunmeng Zhang, Zhenqiu Shu, Jie Zhang, Cong-Zhe You, Zonghui Weng, H. Fan, Feiyue Ye
{"title":"Dual Graph regularized NMF with Sinkhorn Distance","authors":"Yunmeng Zhang, Zhenqiu Shu, Jie Zhang, Cong-Zhe You, Zonghui Weng, H. Fan, Feiyue Ye","doi":"10.1109/DCABES50732.2020.00046","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00046","url":null,"abstract":"Many researchers have paid more attention to the application of non-negative matrix factorization (NMF) in data representation. Recently, some regularization methods can improve the performances by utilizing the data and feature manifold, simultaneously. In this work, a new method, named dual graph regularized NMF with Sinkhorn distance (DSDNMF) is presented. It not only synchronously takes the data structure and feature structure into consideration, but also measures the reconstruction error by adopting the Earth Mover's Distance (EMD) to make full use of the feature correlation. Therefore, DSDNMF can effectively explore the semantic structure information of data in contrast to traditional methods. Besides, we introduce an efficient strategy to optimize our proposed model. Comprehensive experiments on the COIL20 and PIE datasets manifest the superiority of DSDNMF.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"133 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":"132578366","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
Reliability Evaluation of Software Defined Photovoltaic Energy System 软件定义光伏能源系统可靠性评估
Kai Zheng, Zhe Zhang, Liyou Fang, Yi-Bin Song, Xin Huang
{"title":"Reliability Evaluation of Software Defined Photovoltaic Energy System","authors":"Kai Zheng, Zhe Zhang, Liyou Fang, Yi-Bin Song, Xin Huang","doi":"10.1109/DCABES50732.2020.00038","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00038","url":null,"abstract":"In order to face the challenge of air pollution, renewable energy sources attract more attention. Photovoltaic (PV) energy system is one of renewable energy systems. It has many advantages include: small scaled, no air pollution and so on. However, lack of flexible control of this system weaken the reliability of it. A new architecture, Software Defined PV Energy System (SDPVES) is designed to solve the problem. The users can remotely upload new algorithms to the converters to change the functions of PV energy system. However, how to improve the architecture design of the SDPVES become a challenge. In this paper, Markov models are used to analyze the reliability of different SDPVES architectures. The tool for model checking is PRISM. The influence of different components is analyzed. What's more, the comparison of different architectures is also shown.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"60 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":"133151670","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
Medical Image Segmentation Based on 3D U-net 基于三维U-net的医学图像分割
Silu Chen, Guanghao Hu, Jun Sun
{"title":"Medical Image Segmentation Based on 3D U-net","authors":"Silu Chen, Guanghao Hu, Jun Sun","doi":"10.1109/DCABES50732.2020.00042","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00042","url":null,"abstract":"For medical image processing, as the target area of the tumor lesions is small, and the boundaries of the organs are blurred, so the segmentation of the medical images is difficult. In the original 3D U-net model, feature extraction is performed on the interest image region by increasing the channel attention mechanism, so that the model keep a watchful eye on key region before segmentation. Test results indicate that the improved model has significantly improved segmentation accuracy relative to the original 3D U-net model and is a valid image segmentation model.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"74 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":"114843870","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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