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

Research on the application of a combined model in carbon emission prediction 组合模型在碳排放预测中的应用研究

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00081

Liu Rui, Cai Feijun

引用次数: 0

Research in Improving the Conversion Efficiency of LED Power Supply 提高LED电源转换效率的研究

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00054

Sha Li, Aiyun Hu, Jianbin Liu

引用次数: 0

Copyright 版权

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/dcabes50732.2020.00003

引用次数: 0

Research on Fishery Trajectory Analysis and Fishing Ground Discrimination Based on CNN 基于CNN的渔业轨迹分析与渔场识别研究

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00030

Wenjin Xu, Qingxia Xie, Yue-Wei Ma

{"title":"Research on Fishery Trajectory Analysis and Fishing Ground Discrimination Based on CNN","authors":"Wenjin Xu, Qingxia Xie, Yue-Wei Ma","doi":"10.1109/DCABES50732.2020.00030","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00030","url":null,"abstract":"With the continuous progress of science and technology, people's production and lifestyle which has lasted for thousands of years are also changing quietly. More and more things, people, data, and the Internet are connected together, which also makes the power of big data calculation and mining increase exponentially. The navigation data of Zhejiang coastal fishermen are recorded by satellite. Using big data calculation can combine the ocean climate information, fishing vessel location information, and the data formed by fishing grounds into a big fishery data platform. After many captains use the data provided by this platform for fishing guidance, they have achieved a very good catch. They use scientific and technological innovation to change fishing methods so that fishermen can no longer rely on heaven for food. The risk is difficult to predict. The research in this paper is to find the common characteristics of fishing grounds by analyzing the navigation data of fishermen in the Zhejiang coastal area recorded by satellite and at the same time, expand the search range to estimate the new fishing ground location. This work can be used to mine data by using convolutional neural network.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"06 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":"130456080","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

Psychological Dimensions in Trust-Based Models in Cloud Computing 云计算中基于信任模型的心理维度

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00031

Maha Alshammari

{"title":"Psychological Dimensions in Trust-Based Models in Cloud Computing","authors":"Maha Alshammari","doi":"10.1109/DCABES50732.2020.00031","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00031","url":null,"abstract":"Cloud computing has been rapidly evolving and various organizations are updating their infrastructure and services to the cloud computing system. However, being a relatively new technology, users of cloud computing are facing various issues that need to be addressed. Identifying the risks associated and establishing trust in that is one such major issue that needs to be addressed. This article has focused on the various concepts related to trust in the cloud environment, technicalities of trust being used and evaluated, the trust models with an objective of identifying the inclusion of psychological dimensions and attributes in the assessment, evaluation, and management process. The results from the review have indicated that as such there are no models found which contribute to incorporating the psychological attributes. As an extension of the assessment, an integration of two important aspects are recommended in the existing trust model. The inclusion of psychological attributes that consist of motivation, perception, learning, and personality attributes; and an initial stage of assessment model in a top-down approach scheme for identifying the effectiveness of cloud service providers based on the collaborative trust information-sharing mechanism and by using techniques such as rankings and ratings.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"67 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":"134064884","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

Fuel engine injector control based on multiple search approach 基于多重搜索方法的燃油发动机喷油器控制

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00034

Siwei Wu, Yanmei Dong, Kexue Yu, Xu-Qing Tang

{"title":"Fuel engine injector control based on multiple search approach","authors":"Siwei Wu, Yanmei Dong, Kexue Yu, Xu-Qing Tang","doi":"10.1109/DCABES50732.2020.00034","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00034","url":null,"abstract":"The main components of high-pressure common rail fuel injection system are high-pressure common rail fuel pump, common rail pipe and injector. The high-pressure fuel from the high-pressure oil pump is supplied to the injector through the high-pressure common rail oil pipe, which is precisely controlled by the electric control system and inject fuel into the cylinder. Generally, the power of the fuel engine is determined by the speed of the high pressure oil pump, and the key to improve the efficiency of it is to keep a constant pressure in oil pipe when high pressure oil pump is at a high speed. Therefore, methods need to be taken to control pressure in pipe when the cam rotates at a high speed, such as control speed of cam, adjust number of fuel injectors and the starting time of them in a cycle, with the aim of stabilizing internal pressure of oil pipe. In this study, we discretize the problem, establish the difference equation, and multiple searching method is adopted to find out the injector configuration mode which keep the pressure of the high-pressure oil pipe, with speed of, at 100MPa. Finally, we put forward a conjecture between the cam speed and the injector configuration, and carry out simulation verification.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"42 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":"132830226","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

CNN Hyperparameter Optimization Based on CNN Visualization and Perception Hash Algorithm 基于CNN可视化和感知哈希算法的CNN超参数优化

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00029

Yifeng Wang, Yang Wang, Hongyi Li, Zhuoxi Cai, Xiaohan Tang, Y. Yang

{"title":"CNN Hyperparameter Optimization Based on CNN Visualization and Perception Hash Algorithm","authors":"Yifeng Wang, Yang Wang, Hongyi Li, Zhuoxi Cai, Xiaohan Tang, Y. Yang","doi":"10.1109/DCABES50732.2020.00029","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00029","url":null,"abstract":"In this paper, the network structure and the optimal hyperparameter selection which affect the performance of the model are obtained through the analysis of the convolutional neural network model with mathematical interpretation and visualization. In the study, we used visual methods such as deconvolution and Guided Grad-CAM to display the network structure, parameter changes, and the learning process of the model convolutional layer. Simultaneously, we developed CNN hyperparameters optimization strategy based on the perceptual hash algorithm according to its training characteristics. This method significantly improves the accuracy of image classification of the model and the generalization ability of the model and also provides certain theoretical support for the optimization and understanding of deep learning models in practical application. In addition, the hyperparameter optimization method based on the deep learning model feature map reconstruction visualization proposed in this paper also provides a good idea for the formulation of model training strategies.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"141 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":"133638901","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: 6

Natural Language Classification Algorithm of Comments Based on Bayesian Chasing-Clustering Model 基于贝叶斯追踪聚类模型的评论自然语言分类算法

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00012

Yifeng Wang, Yang Wang, Weisheng Chen, Yingzhen Lin

{"title":"Natural Language Classification Algorithm of Comments Based on Bayesian Chasing-Clustering Model","authors":"Yifeng Wang, Yang Wang, Weisheng Chen, Yingzhen Lin","doi":"10.1109/DCABES50732.2020.00012","DOIUrl":"https://doi.org/10.1109/DCABES50732.2020.00012","url":null,"abstract":"The clustering algorithm groups data objects according to their similarity. As an unsupervised learning, it is very convenient to use because there is no need to set labels for the data before training. But at the same time its clustering results are not attached with corresponding grouping information, which means the specific meaning of each type of data. However, in the field of modern Internet, the dimension of information space is very high, especially for user comment sections involving natural language. If the clustering direction is not induced and restricted, it is easy to appear that the clustering results are far from the goal of the algorithm. Therefore, we propose a Bayesian chasing-clustering model, which is improved on the basis of the k-means clustering algorithm. During the training process, it will tend to the clustering way we set in advance, and finally achieve a clustering effect which meets our goals better. In addition, we also propose the S-T method for word embedding representation, which is very suitable for natural language processing problems about comments. We applied it to film review websites and e-commerce platforms, and clustered the website content based on users' comments. Compared with traditional clustering methods, the accuracy rate was improved by 9%-57%.","PeriodicalId":351404,"journal":{"name":"2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"12 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":"133806781","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 Smart City Lighting System based on Conduction Angle Communication 基于传导角通信的智慧城市照明系统研究

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00050

Sha Li, Jianbin Liu

引用次数: 0

Construction of QSAR model between the ligand and γ-Aminobutyric acid type A receptor using support vector regression algorithm 利用支持向量回归算法构建配体与γ-氨基丁酸A型受体之间的QSAR模型

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI: 10.1109/DCABES50732.2020.00060

Shu Cheng, Yanrui Ding

引用次数: 0