2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)最新文献

Model-based optimal control method for cancer treatment using model predictive control and robust fixed point method 使用模型预测控制和鲁棒定点法的基于模型的癌症治疗优化控制方法

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-11-22 DOI: 10.1109/INES.2017.8118569

B. Czakó, Johanna Sápi, L. Kovács

引用次数: 15

Nonlinear identification of glucose absorption related to Diabetes Mellitus 糖尿病相关葡萄糖吸收的非线性识别

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-11-22 DOI: 10.1109/INES.2017.8118567

G. Eigner, Katalin Koppány, Péter Pausits, L. Kovács

{"title":"Nonlinear identification of glucose absorption related to Diabetes Mellitus","authors":"G. Eigner, Katalin Koppány, Péter Pausits, L. Kovács","doi":"10.1109/INES.2017.8118567","DOIUrl":"https://doi.org/10.1109/INES.2017.8118567","url":null,"abstract":"In case of biomedical researches we often have to deal with complicated biological phenomenons, which are usually described with complex mathematical models. In most cases these mathematical models and the systems to be modelled are also nonlinear. The appropriate adjustment of the parameters of these models is always a problem which is hard to be solved. To work with such complex models is essential in many research fields and application areas e.g. in personalized medicine or by the control of physiological processes. Although there are many identification techniques available, there is no general or “oven-ready” solution in cases where the mathematical model describing the dynamics of the physiological processes is highly nonlinear. One of our aims was to develop a simple, user-friendly and flexible identification framework which supports the identification of complex, nonlinear mathematical models. The performance of the method can be measured by simple metric. On the other hand, our goal was to successfully realize the identification framework in case of glucose absorption models, which are essential in our future work in order to validate the performance of advanced control algorithms. Our results show that the nonlinear identification framework performed well, since the predefined requirements were satisfied in all cases.","PeriodicalId":344933,"journal":{"name":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126114636","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 Arduino platform connected to education process Arduino平台连接教育过程

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118531

J. Hurtuk, M. Chovanec, N. Ádám

引用次数: 6

Inter-chip synchronism in dynamically reconfigurable analog circuits for intelligent engineering systems 智能工程系统中动态可重构模拟电路的芯片间同步

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118557

F. Kobayashi, Shin-ichi Higuchi, Junaidah Bt Zakaria, Mohamad Zain Azreen B Ramli

引用次数: 0

Root cause analysis for global anomalous events in self-organizing industrial systems 自组织工业系统全局异常事件的根本原因分析

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/ines.2017.8118549

Marie Kiermeier, Sebastian Feld, Claudia Linnhoff-Popien

{"title":"Root cause analysis for global anomalous events in self-organizing industrial systems","authors":"Marie Kiermeier, Sebastian Feld, Claudia Linnhoff-Popien","doi":"10.1109/ines.2017.8118549","DOIUrl":"https://doi.org/10.1109/ines.2017.8118549","url":null,"abstract":"In self-organizing industrial systems (SOIS) workflows are not defined by engineers in advance, but the system decides by itself at runtime how to route workpieces through the factory, so that the desired output is manufactured as optimal as possible in the present circumstances. As a consequence, the number of possible workflows is not limited to those which were manually predefined, but limited to all possible routes in the factory (state space explosion). Accordingly, analyzing anomalies in such a huge solution space becomes more challenging. In this paper, we present a root cause analyis (RCA) approach for finding the root cause of global anomalous events which handles this state space explosion in SOIS. To do so, the dependencies between path usage and external factors like available machines and demanded tasks are subdivided into several sub-dependencies. In addition, we propose for one of these sub-dependencies a heuristical description which avoids the enormous computational effort for modeling the dependency exactly. The operating principle of our RCA method is evaluated based on simulation data of an example factory.","PeriodicalId":344933,"journal":{"name":"2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116977201","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

Visual servoing of moving targets through fractional control: A feasibility study 基于分数控制的运动目标视觉伺服的可行性研究

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/ines.2017.8118566

C. Copot

引用次数: 0

On smooth compactly supportée radial fuzzy system 光滑紧支持径向模糊系统的研究

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118577

David Coufal

引用次数: 1

Towards remote control of planar redundant robotic manipulators 平面冗余度机器人的远程控制研究

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118561

Georgios L. Giannaris, N. Kouvakas, F. Koumboulis, D. Vouyioukas

引用次数: 6

SpO2 based sleep apnea detection using deep learning 基于SpO2的深度学习睡眠呼吸暂停检测

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118534

Sheikh Shanawaz Mostafa, Fábio Mendonça, F. Morgado‐Dias, A. Ravelo-García

引用次数: 47

Network events in the dynamic selection of real-time session fault tolerant routes 网络事件在实时会话中动态选择容错路由

2017 IEEE 21st International Conference on Intelligent Engineering Systems (INES) Pub Date : 2017-10-01 DOI: 10.1109/INES.2017.8118574

S. Orzen, S. Babii

引用次数: 3