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8th International Conference on Information Technology, InCIT 2024

作者： Satthamsakul, Sutham Khummongkol, Rojanee King Mongkut's Institute of Technology Ladkrabang School of Engineering Department of Instrumentation and Control Engineering Bangkok Thailand Kasetsart University Faculty of Liberal Arts and Science Department of Computational Science and Digital Technology Nakhon Pathom Thailand

ISBN: (纸本)9798350366303

This paper proposed two methods to examine metal particles in fluid using Hall Effect Sensor under the condition of nondestructive testing based on two conditions: test of particles in oil samples, and test of particles in industrial machinery simulation. Hall Effect Sensor was a low-cost device had ability to detect magnetic fields in objects, so this work applied Hall Probe to measure the density of metal in liquid. Hereby, hydraulic liquid was selected to examine because it was one of the most use in industrial machines. By using the sensor, two types of experiment were designed: test of oil sample, and test of simulation process, where the results showed that Hall Effect Sensor had ability to measure particles in both two types of experiment. For oil sample test, the sensor was able to detect metallic powder when the number of contaminants were greater than or equal to 10 milligrams (equivalented to NAS 15 standard). On the other hand, to measure particle in simulation process, magnetic field were generated in two ways, i.e. use of electromagnet, and use of permanent magnet. For using electromagnet as magnetic field source, the result showed that temperature had an influence on metal particle evaluation. Therefore, to get the most accurate value, system's temperature had to employed in calculation process. While, the result of using permanent magnet to generate magnetic field showed that the relationship between output voltage and amount of metal particles were probably in linear form. To apply this method in industrial applications could be an inexpensive way to help officer in detecting metal particle in oil which was able to extend service time of hydraulic liquid properly. © 2024 IEEE.

关键词： Hall effect transducers

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Failure Detection from the Knocking Sounds Using Convolutional Neural Network 38

Failure Detection from the Knocking Sounds Using Convolution...

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38th IEEE Region 10 Conference, TENCON 2023

作者： Areerob, Punyapat Sum, Rithea Khongprasongsiri, Chanon Boonto, Sudchai King Mongkut's University of Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok10140 Thailand National Astronomical Research Institute Thailand

ISBN: (纸本)9798350302196

Toilet quality assurance is a crucial process in ensuring lavatories meet rigorous performance, durability, and hygiene standards. The current standard of Maximum Performance (MaP) testing faces challenges, leading researchers to explore innovative approaches such as sound source classification for quality assurance. This approach involves collecting a diverse dataset of lavatory sounds and extracting relevant acoustic features. Deep learning models, particularly convolutional neural networks (CNNs), are trained on these features to accurately classify sound sources. The trained models were evaluated and compared by considering metrics such as classification accuracy, computational complexity, and model parameters. This paper performs these tests and chooses the most effective model to enhance the quality assurance process for toilets. Incorporating sound source classification techniques has several benefits, including the optimization of testing processes, non-intrusive performance assessment, and efficient resource utilization through targeted testing and troubleshooting. By improving the standards of lavatory quality, this approach ensures enhanced performance, durability, and hygiene of lavatories. © 2023 IEEE.

关键词： Convolution

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A Simple State-Space Model of Human Driver Applicable to Windy Conditions

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IFAC-PapersOnLine 2024年第9期58卷 229-234页

作者： Jakub Čelko Ondrej Mihálik Michal Husák Zdeněk Bradáč Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech republic

The paper is concerned with the design, verification and evaluation of a car-driving test scenario for human driver assessment. The scenario implemented in Unreal Engine adds four different wind characteristics which disturb the motion of a simulated vehicle. Besides, the driver is instructed to change the driving lane at defined intervals. These forcing functions enable the identification of the human-machine loop using state-space models. The parameters characterising the human dynamics are extracted from the model of the whole loop. As opposed to rather obsolete McRuer models, this approach follows the recent trends in the modelling of human-machine systems as multiloop systems or quadratically optimal controllers. Our results suggest that the model relying on a single transfer function with 4 parameters loses prediction capabilities during more realistic scenarios, in which random disturbances, such as wind gusts, affect the vehicle. In such cases, the multiloop model with the same number of parameters is able to capture human behaviour more accurately than McRuer model.

关键词： driving simulator human dynamics identification multiloop model

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CNN Architecture for Posture Classification on Small Data

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IFAC-PapersOnLine 2024年第9期58卷 299-304页

作者： Michaela Mesárošová Ondrej Mihálik Miroslav Jirgl Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech republic

A convolutional neural network is often mentioned as one of the deep learning methods that requires a large amount of training data. Questioning this belief, this paper explores the applicability of classification based on a shallow net structure trained on a small data set in the context of patient posture classification based on data from a pressure mattress. Designing a CNN often presents a complex problem, especially without a universally applicable approach, allowing many diverse structural possibilities and training settings. We tested various training options and layer configurations to provide an overview of influential parameters for posture classification. Experiments show encouraging results with the leave-one-out cross-validation accuracy of 93.1% of one of the evaluated CNN structures and its hyperparameter settings.

关键词： CNN fine tuning network structure optimization posture classification

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Fall Detection for the Elderly using YOLOv4 and LSTM 19

Fall Detection for the Elderly using YOLOv4 and LSTM

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19th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

作者： Chutimawattanakul, Pongsatorn Samanpiboon, Pranchalee King Mongkut's University of Technology Thonburi Department of Control System and Instrumentation Engineering Bangkok Thailand

ISBN: (纸本)9781665485845

In elderly society, the falling of the elderly inside the house is the one of the causes of injury or death to the elderly. It negatively affects both the family and the elderly themselves. Therefore, taking care of the elderly at home is extremely important. In this paper, we used YOLOv4 technique to detect posture and LSTM to detect sequence of postures. YOLOv4 is the most efficient detection model compared to other detection models. LSTM is helpful in learning temporal features. Tests with 2 fall datasets showed an efficiency of posture detection by YOLOv4 at 87.88% and YOLOv4 and efficiency of fall detection by combination of YOLOv4 and LSTM at 100%. © 2022 IEEE.

关键词： Fall detection

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Stable fuzzy controllers via LMI approach for non-linear systems described by type-2 T-S fuzzy model

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International Journal of Intelligent Computing and Cybernetics 2021年第3期14卷 509-531页

作者： Himanshukumar R.Patel Vipul A.Shah Instrumentation and Control Engineering Department Faculty of TechnologyDharmsinh Desai UniversityNadiadIndia

Purpose-The purpose of this paper is to stabilize the type-2 Takagi-Sugeno(T-S)fuzzy systems with the sufficient and guaranteed stability *** given conditions efficaciously handle parameter uncertainties by the upper and lower membership functions of the type-2 fuzzy sets(FSs).Design/methodology/approach-This paper reports on a relevant study of stable fuzzy controllers and type-2 T-S fuzzy systems and reported that the synthesis of controller for nonlinear systems described by the type-2 T-S fuzzy model is a key problem and it can be resolve to convex problems via linear matrix inequalities(LMIs).Findings-The multigain fuzzy controllers are established to improve the solvability of the stability conditions,and the authors design multigain fuzzy controllers which have extensive information of upper and lower membership ***,the authors derive the traditional stability condition in terms of *** simulation examples illustrate the effectiveness and robustness of the derived stabilization ***/value-The uncertain MIMO nonlinear system described by Type-2 Takagi-Sugeno(T-S)fuzzy model,and successively LMI approach used to determine the system stability *** proposed control approach will give superior fault-tolerant control permanence under the actuator fault[partial loss of effectiveness(LOE)].Also the controller robust against the unmeasurable process ***,the statistical z-test are carried out to validate the proposed control approach against the control approach proposed by Himanshukumar and Vipul(2019a).

关键词： Takagi-Sugeno(T-S) Type-2 fuzzy logic system Linear matrix inequalities fuzzy control

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Security issues in MCPS when using Wireless Sensor Networks 10

Security issues in MCPS when using Wireless Sensor Networks

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10th E-Health and Bioengineering Conference, EHB 2022

作者： Béatrix-May, Balaban Ştefan, Sacală Ioan Alina-Claudia, Petrescu-Niţă Radu, Simen Department of System Engineering Faculty of Automatic Control and Computers UPB Bucharest Romania

ISBN: (纸本)9781665485579

Considering the evolution of technology, the need to secure data is growing fast. When we turn our attention to the healthcare field, securing data and assuring privacy are critical conditions that must be accomplished. The information is sensitive and confidential, and the exchange rate is very fast. Over the years, the healthcare domain has gradually seen a growth of interest regarding the interconnectivity of different processes to optimize and improve the services that are provided. Therefore, we need intelligent complex systems that can collect and transport sensitive data in a secure way. These systems are called cyber-physical systems. In healthcare domain, these complex systems are named medical cyber physical systems. The paper presents a brief description of the above-mentioned intelligent systems. Then, we focus on wireless sensor networks and the issues and challenges that occur in securing sensitive data and what improvements we propose on this subject. In this paper we tried to provide a detailed overview about cyber-physical systems, medical cyber-physical systems, wireless sensor networks and the security issues that can appear. © 2022 IEEE.

关键词： Wireless sensor networks

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In-Bed Posture Classification Based on Sparse Representation in Redundant Dictionaries 17th

In-Bed Posture Classification Based on Sparse Representation...

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17th IFAC Conference on Programmable Devices and Embedded systems, PDES 2022

作者： Mihálik, O. Sýkora, T. Husák, M. Fiedler, P. Department of Control and Instrumentation Faculty of Electrical Engineering Brno University of Technology Brno Czech Republic

Non-orthogonal signal representation using redundant dictionaries gradually gained popularity over the last decades. Sparse methods find major application in signal denoising, audio declipping, time-frequency analysis, and classification, to name a few. This paper is inspired by the exceptional results of sparse representation classification originally suggested for face recognition. We compare the method to other common classifiers using simulated as well as real datasets. In the latter the proposed method is tested with real pressure data from a bed equipped with a matrix of 30 × 11 pressure sensors. Here the method outperforms standard classification methods (surpassing 91 % accuracy) without need of parameter selection or special user's skills. Furthermore it offers a means of dealing with occlusions, whose results are presented as well. © 2022 Elsevier B.V.. All rights reserved.

关键词： Face recognition

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Application of metaheuristic algorithms in interval type-2 fractional order fuzzy TID controller for nonlinear level control process under actuator and system component faults

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International Journal of Intelligent Computing and Cybernetics 2021年第1期14卷 33-53页

作者： Himanshukumar R.Patel Vipul A.Shah Instrumentation and Control Engineering Department Faculty of TechnologyDharmsinh Desai UniversityNadiadIndia

Purpose–The two-tank level control system is one of the real-world’s second-order system(SOS)widely used as the process control in *** is normally operated under the Proportional integral and derivative(PID)feedback control *** conventional PID controller performance degrades significantly in the existence of modeling uncertainty,faults and process *** overcome these limitations,the paper suggests an interval type-2 fuzzy logic based Tilt-Integral-Derivative controller(IT2TID)which is modified structure of PID ***/methodology/approach–In this paper,an optimization IT2TID controller design for the conical,noninteracting level control system is *** to modern optimization context,the flower pollination algorithm(FPA),among the most coherent population-based metaheuristic optimization techniques is applied to search for the appropriate IT2FTID’s and IT2FPID’s *** proposed FPA-based IT2FTID/IT2FPID design framework is considered as the constrained optimization *** responses obtained by the IT2FTID controller designed by the FPA will be differentiated with those acquired by the IT2FPID controller also designed by the ***–As the results,it was found that the IT2FTID can provide the very satisfactory tracking and regulating responses of the conical two-tank noninteracting level control system superior as compared to IT2FPID significantly under the actuator and system component ***,statistical Z-test carried out for both the controllers and an effectiveness of the proposed IT2FTID controller is proven as compared to IT2FPID and existing passive fault tolerant controller in recent ***/value–Application of new metaheuristic algorithm to optimize interval type-2 fractional order TID controller for nonlinear level control system with two type of ***,proposed method will compare with other method and statistical analysis will be presented.

关键词： Actuator fault Flower pollination algorithm Interval type-2 fuzzy logic system component fault TID control

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A Spectrum-based Filter Design for Periodic Output Regulation of systems with Dead-Time 22

A Spectrum-based Filter Design for Periodic Output Regulatio...

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22nd IFAC World Congress

作者： Yuksel, Can Kutlu Niculescu, Silviu-Iulian Vyhlídal, Tomáš Department of Instrumentation and Control Engineering Faculty of Mechanical Engineering Czech Technical University in Prague Technická 4 Prague 6 16607 Czech Republic Gif-sur-Yvette91192 France

ISBN: (纸本)9781713872344

This paper presents a filter structure that allows the user to place desired poles and the necessary zeros to achieve periodic regulation to the closed-loop sensitivity through Internal Model control framework. The periodic regulation is aimed at stable SISO linear systems suffering from input dead-time and having no closed right-half plane zeros. The negative effects of the dead time on tracking/rejection are compensated by introducing another delay which is tuned independently from the filter thanks to its structure. The main focus is given to constructing the filter with polynomials. However, it can be readily extended to quasi-polynomials. The findings are verified with a computer simulation of a vibration control task. Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： delay filter design IMC vibration control

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