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2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)最新文献

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Optimal Pricing for Service Provision in an IaaS Cloud Market with Delay Sensitive Cloud Users 具有延迟敏感云用户的IaaS云市场中服务提供的最优定价
2017 International Conference on Computer Network, Electronic and Automation (ICCNEA) Pub Date : 2017-09-01 DOI: 10.1109/ICCNEA.2017.112
Gang Fang, Xianwei Li
{"title":"Optimal Pricing for Service Provision in an IaaS Cloud Market with Delay Sensitive Cloud Users","authors":"Gang Fang, Xianwei Li","doi":"10.1109/ICCNEA.2017.112","DOIUrl":"https://doi.org/10.1109/ICCNEA.2017.112","url":null,"abstract":"Cloud computing has received a significant amount of attentions from both engineering and academic fields. Designing optimal pricing schemes of cloud services plays an important role for the success of cloud computing. How to set optimal prices of cloud resources in order to maximize these CSPs' revenues in an Infrastructure as a Service (IaaS) cloud market while at the same time meeting the cloud users' demand satisfaction is a challenging problem that CSPs should consider. However, most of the current works on cloud market are performed under the assumption that cloud users are not sensitive to delay, which is not practical. Towards this end, in this paper we study price-based service provision in an IaaS cloud market. Our simulations verify our analysis.","PeriodicalId":113898,"journal":{"name":"2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123230347","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
Levenberg-Marquardt Method Based Iteration Square Root Cubature Kalman Filter ant its Applications 基于迭代平方根的卡尔曼滤波及其应用
2017 International Conference on Computer Network, Electronic and Automation (ICCNEA) Pub Date : 2017-09-01 DOI: 10.1109/ICCNEA.2017.22
Mu Jing, Changyuan Wang
{"title":"Levenberg-Marquardt Method Based Iteration Square Root Cubature Kalman Filter ant its Applications","authors":"Mu Jing, Changyuan Wang","doi":"10.1109/ICCNEA.2017.22","DOIUrl":"https://doi.org/10.1109/ICCNEA.2017.22","url":null,"abstract":"To improve the low state estimation accuracy of nonlinear state estimation due to large initial estimation error and nonlinearity of measurement equation, we obtain Levenberg-Marquardt (abbr. L-M) method based iteration square root cubature Kalman filter (ISRCKFLM) combining the measurement update of square root cubature Kalman filter (SRCKF) with nonlinear least square error, so the ISRCKFLM algorithm has the virtues of global convergence and numerical stability. We apply the ISRCKFLM algorithm to state estimation for re-entry ballistic target; the simulation results demonstrate the ISRCKFLM algorithm has better accuracy of state estimation.","PeriodicalId":113898,"journal":{"name":"2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128502623","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
Design of Control System for Dust-Collecting Robot Based on DSP 基于DSP的集尘机器人控制系统设计
2017 International Conference on Computer Network, Electronic and Automation (ICCNEA) Pub Date : 2017-09-01 DOI: 10.1109/ICCNEA.2017.85
Zhang Wei
{"title":"Design of Control System for Dust-Collecting Robot Based on DSP","authors":"Zhang Wei","doi":"10.1109/ICCNEA.2017.85","DOIUrl":"https://doi.org/10.1109/ICCNEA.2017.85","url":null,"abstract":"With the rapid increase of labor cost in domestic service industry, it provides a powerful driving force for rapid development of service robot. Vacuum cleaner Robot as a service robot, you can replace the people to clean rooms, workshops, walls and so on. In this paper, the structure and function of the robot's measurement and control system, the type and function of the selected sensor are introduced. The structure of the motor control system and the driving principle of the motor are introduced. It can be self-navigation, detection of the wall, the room obstructions and can avoid, can travel most of the room space, you can detect the battery power and autonomy to return to charge, with strong application value.","PeriodicalId":113898,"journal":{"name":"2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127388122","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
The Predicition of Haze Based on BP Neural Network and Matlab 基于BP神经网络和Matlab的雾霾天气预测
2017 International Conference on Computer Network, Electronic and Automation (ICCNEA) Pub Date : 2017-09-01 DOI: 10.1109/ICCNEA.2017.21
Limei Ma, Fangwei Wang
{"title":"The Predicition of Haze Based on BP Neural Network and Matlab","authors":"Limei Ma, Fangwei Wang","doi":"10.1109/ICCNEA.2017.21","DOIUrl":"https://doi.org/10.1109/ICCNEA.2017.21","url":null,"abstract":"In this paper, the neural network theory is used to establish the BP neural network prediction system for the occurrence of haze. The corresponding parameters are determined by MATLAB language, and the effect of the model is tested by the prediction of Shijiazhuang area. the result shows the feasibility of the predictive model. So it's valuable and has a bright future.","PeriodicalId":113898,"journal":{"name":"2017 International Conference on Computer Network, Electronic and Automation (ICCNEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354780","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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