Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337538
Oto Haffner, Erik Kučera, B. Urminská, S. Kozák
The work is devoted to the problem of automatic evaluation of experiments with Lemna minor. One of the methods for evaluating experiments with Lemna minor is number counting of newly grown leaves. This work deals with the possibility of implementing algorithms of recognition and evaluation of Lemna minor leaves using the visual system in single-board computers. The result of this paper is a theoretical proposal of the system for automated counting of Lemna minor leaves number.
{"title":"Proposal of system for visual evaluation of lemna minor bioassays","authors":"Oto Haffner, Erik Kučera, B. Urminská, S. Kozák","doi":"10.1109/CYBERI.2018.8337538","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337538","url":null,"abstract":"The work is devoted to the problem of automatic evaluation of experiments with Lemna minor. One of the methods for evaluating experiments with Lemna minor is number counting of newly grown leaves. This work deals with the possibility of implementing algorithms of recognition and evaluation of Lemna minor leaves using the visual system in single-board computers. The result of this paper is a theoretical proposal of the system for automated counting of Lemna minor leaves number.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"93 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79900975","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337551
Yong-Kul Ki, Nak-Won Heo, Jin-Wook Choi, Gye-Hyeong Ahn, Kil-soo Park
Incident detection methods for the automatic recognition of incidents and other freeway events requiring emergency responses have existed for over forty years. Most of the developed and implemented algorithms rely on inductive loop data. Inductive loops are the most commonly used traffic sensor and collect data such as volume and velocity at a point. However, the implemented algorithms using inductive loop data work with mixed success. Recently, there has been renewed interest in incident detection algorithms partly because of new sensors for obtaining traffic information. One of these new sensors is a Two-way Probe Car System (TPCS), which was developed as a mobile detector for measuring link travel speeds in South Korea. TPCS is mainly a means of collecting enhanced roadway condition information and then broadcasting related traveler information and various alerts back to vehicles. In this paper, we suggests a new model for incident detection using TPCS data and neural networks.
{"title":"An incident detection algorithm using artificial neural networks and traffic information","authors":"Yong-Kul Ki, Nak-Won Heo, Jin-Wook Choi, Gye-Hyeong Ahn, Kil-soo Park","doi":"10.1109/CYBERI.2018.8337551","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337551","url":null,"abstract":"Incident detection methods for the automatic recognition of incidents and other freeway events requiring emergency responses have existed for over forty years. Most of the developed and implemented algorithms rely on inductive loop data. Inductive loops are the most commonly used traffic sensor and collect data such as volume and velocity at a point. However, the implemented algorithms using inductive loop data work with mixed success. Recently, there has been renewed interest in incident detection algorithms partly because of new sensors for obtaining traffic information. One of these new sensors is a Two-way Probe Car System (TPCS), which was developed as a mobile detector for measuring link travel speeds in South Korea. TPCS is mainly a means of collecting enhanced roadway condition information and then broadcasting related traveler information and various alerts back to vehicles. In this paper, we suggests a new model for incident detection using TPCS data and neural networks.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"68 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83189956","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337567
P. Drahoš, Ivan Klimo
The paper deals with a Logarithmic Numerical System (LNS) and its use for embedded control systems based on modern system on chip (SoC) circuits. A new approximate function for arithmetic sum in LNS has been developed. The new simple algorithm can reduce the computational delay and size of tables needed for LNS adder.
{"title":"LNS algorithm for embedded control systems","authors":"P. Drahoš, Ivan Klimo","doi":"10.1109/CYBERI.2018.8337567","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337567","url":null,"abstract":"The paper deals with a Logarithmic Numerical System (LNS) and its use for embedded control systems based on modern system on chip (SoC) circuits. A new approximate function for arithmetic sum in LNS has been developed. The new simple algorithm can reduce the computational delay and size of tables needed for LNS adder.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"9 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76999869","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337559
J. Osuský, J. Cigánek
Robust control was many times successfully used for nonlinear plant control in engineering applications. In this paper robust controller design method for trajectory tracking two wheels mobile robotic system is presented. The proposed method is based on the Small Gain Theory and known M-delta structure of a closed loop system in the frequency domain. Simulation example illustrating effectiveness of the proposed control for uncertain model of two wheels mobile robotic system is included.
{"title":"Trajectory tracking robust control for two wheels robot","authors":"J. Osuský, J. Cigánek","doi":"10.1109/CYBERI.2018.8337559","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337559","url":null,"abstract":"Robust control was many times successfully used for nonlinear plant control in engineering applications. In this paper robust controller design method for trajectory tracking two wheels mobile robotic system is presented. The proposed method is based on the Small Gain Theory and known M-delta structure of a closed loop system in the frequency domain. Simulation example illustrating effectiveness of the proposed control for uncertain model of two wheels mobile robotic system is included.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"230 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78094356","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337565
M. Hypiusová, D. Rosinová
This paper studies the robust discrete-time pole-placement state feedback controller design in the LMI framework. The inner ellipse is used to approximate originally non-convex discrete-time closed loop pole region respective to the prescribed damping factor. The resulting LMI conditions use parameter dependent Lyapunov function to reduce conservatism in robust controller design. Contribution of this paper is in the application of this procedure on the case study — unstable Magnetic Levitation System, analysis of the results and comparison with standard robust stabilizing controller design.
{"title":"Discrete-time robust LMI pole placement for magnetic levitation","authors":"M. Hypiusová, D. Rosinová","doi":"10.1109/CYBERI.2018.8337565","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337565","url":null,"abstract":"This paper studies the robust discrete-time pole-placement state feedback controller design in the LMI framework. The inner ellipse is used to approximate originally non-convex discrete-time closed loop pole region respective to the prescribed damping factor. The resulting LMI conditions use parameter dependent Lyapunov function to reduce conservatism in robust controller design. Contribution of this paper is in the application of this procedure on the case study — unstable Magnetic Levitation System, analysis of the results and comparison with standard robust stabilizing controller design.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"72 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84025832","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337549
Z. Dideková, S. Kajan, A. Kozáková, S. Kozák
The paper deals with the development of a new adaptive fuzzy control method and algorithm for nonlinear dynamic systems based on the hybrid approach using fuzzy logic and genetic techniques. The new hybrid control methodology based on adaptive switching uses the principle of control parameters adaptation for all operating points of a highly nonlinear process. The control algorithm is realized by a fuzzy controller with parameter optimization for different operating points using a genetic algorithm. Proposed theoretical results are verified on a case study dealing with control design for a nonlinear model of continuously stirred tank reactor. Obtained practical results confirm the high performance and possibility of implementation of this methodology for a broad real plants in industry.
{"title":"Intelligent adaptive fuzzy control","authors":"Z. Dideková, S. Kajan, A. Kozáková, S. Kozák","doi":"10.1109/CYBERI.2018.8337549","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337549","url":null,"abstract":"The paper deals with the development of a new adaptive fuzzy control method and algorithm for nonlinear dynamic systems based on the hybrid approach using fuzzy logic and genetic techniques. The new hybrid control methodology based on adaptive switching uses the principle of control parameters adaptation for all operating points of a highly nonlinear process. The control algorithm is realized by a fuzzy controller with parameter optimization for different operating points using a genetic algorithm. Proposed theoretical results are verified on a case study dealing with control design for a nonlinear model of continuously stirred tank reactor. Obtained practical results confirm the high performance and possibility of implementation of this methodology for a broad real plants in industry.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"74 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86286630","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337554
J. Cigánek, J. Osuský
The presented paper deals with two pruning algorithms used for structure optimization of artificial neural networks. These networks will be used for modeling of nonlinear dynamic systems. The quality of proposed algorithms will be verified and compared on the real data of the steam turbine in thermal power plant. Totally, four different models will be created to cover the behavior of selected real system: a neural network model, an adaptive neuro-fuzzy model and two models of optimized neural networks using Optimal Brain Damage and Optimal Brain Surgeon algorithms.
{"title":"Structure optimization of artificial neural networks using pruning methods","authors":"J. Cigánek, J. Osuský","doi":"10.1109/CYBERI.2018.8337554","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337554","url":null,"abstract":"The presented paper deals with two pruning algorithms used for structure optimization of artificial neural networks. These networks will be used for modeling of nonlinear dynamic systems. The quality of proposed algorithms will be verified and compared on the real data of the steam turbine in thermal power plant. Totally, four different models will be created to cover the behavior of selected real system: a neural network model, an adaptive neuro-fuzzy model and two models of optimized neural networks using Optimal Brain Damage and Optimal Brain Surgeon algorithms.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87189793","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337539
A. Lichtman, P. Fuchs
An electrocardiogram (ECG) is an important tool for diagnostics which reflects electrical activity of a heart. This work deals with hardware design of amplifier needed for a simple biosignal measurement (ECG) and software for processing these data using MSP430 microcontroller. The result is sufficient measured data that can be used for heart rate calculation or for monitoring.
{"title":"Hardware and software design for one channel ECG measurement using MSP430 microcontroller","authors":"A. Lichtman, P. Fuchs","doi":"10.1109/CYBERI.2018.8337539","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337539","url":null,"abstract":"An electrocardiogram (ECG) is an important tool for diagnostics which reflects electrical activity of a heart. This work deals with hardware design of amplifier needed for a simple biosignal measurement (ECG) and software for processing these data using MSP430 microcontroller. The result is sufficient measured data that can be used for heart rate calculation or for monitoring.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"83 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85554343","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337568
Michal Maťuga
The paper presents main challenges, problems, and steps involved in software implementation of robotic arm control. The arm is a multi axis robotic arm produced by 3rd party companies. It is embedded into a complex CNC cutting system with multiple motion axes and cutting heads. The control algorithm is implemented into existing complex software of real-time control system of the cutting machine. It has to be compatible with all existing and future modules of the software.
{"title":"Control and positioning of robotic arm on CNC cutting machines and their applications in industry","authors":"Michal Maťuga","doi":"10.1109/CYBERI.2018.8337568","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337568","url":null,"abstract":"The paper presents main challenges, problems, and steps involved in software implementation of robotic arm control. The arm is a multi axis robotic arm produced by 3rd party companies. It is embedded into a complex CNC cutting system with multiple motion axes and cutting heads. The control algorithm is implemented into existing complex software of real-time control system of the cutting machine. It has to be compatible with all existing and future modules of the software.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"2006 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81206872","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}
Pub Date : 2018-01-01DOI: 10.1109/CYBERI.2018.8337530
T. Slavov
In this paper a system for power control of wind turbine generator based on LQR controller is designed. Two-mass drive train model is considered. The linear model with parametric uncertainty is obtained. This model describes the plant dynamics in whole working range. Based on uncertain model the robustness analysis of the control system is performed. The results show that the designed LQR controller provides robust stability and robust performance of the control system. Simulation results show the control system performance in the regime “maximum power extraction” when the wind speed varies in a large range.
{"title":"LQR power control of wind generator","authors":"T. Slavov","doi":"10.1109/CYBERI.2018.8337530","DOIUrl":"https://doi.org/10.1109/CYBERI.2018.8337530","url":null,"abstract":"In this paper a system for power control of wind turbine generator based on LQR controller is designed. Two-mass drive train model is considered. The linear model with parametric uncertainty is obtained. This model describes the plant dynamics in whole working range. Based on uncertain model the robustness analysis of the control system is performed. The results show that the designed LQR controller provides robust stability and robust performance of the control system. Simulation results show the control system performance in the regime “maximum power extraction” when the wind speed varies in a large range.","PeriodicalId":6534,"journal":{"name":"2018 Cybernetics & Informatics (K&I)","volume":"74 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90814258","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：