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22nd International Conference on Emerging eLearning Technologies and Applications, ICETA 2024

作者： Knapčíková, L. Behúnová, A. Martiček, M. Tauberová, R. Strametz, D. Abdul-Hadi, M. Technical University of Košice Faculty of Manufacturing Technologies with A Seat in Prešov Department of Industrial Engineering and Informatics Prešov Slovakia Technical University of Košice Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Slovakia Institute of Production Engineering TU Graz Faculty of Mechanical Engineering and Economic Sciences Austria Pro2Future GmbH. Graz Austria

ISBN: (纸本)9798331527716

Augmented reality technology is currently experiencing a significant surge. The potential of AR is immense, and while it may not be as ubiquitous as smartphones, it is rapidly gaining ground. The past decade has seen a remarkable expansion of AR applications, with many industries already leveraging its capabilities. The use of AR is not limited to a few areas but is expanding across various fields, from science to marketing to art. This adaptability across diverse fields reassures us that AR is not just a passing trend but a technology with wide-ranging applications. However, in most of these industries, AR is often only at a theoretical level in development. The use of augmented reality is increasingly important in the production process. With rapid digital transformation and the introduction of Industry 4.0, the company's leadership must find new ways to optimise its processes and increase production efficiency. © 2024 IEEE.

关键词： Industry 4.0

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Triple Parallel LSTM Networks for Classifying the Gait Disorders Using Kinect Camera and Robot Platform During the Clinical Examination

Triple Parallel LSTM Networks for Classifying the Gait Disor...

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Electrical, Computer, Communications and Mechatronics engineering (ICECCME), International Conference on

作者： Mohsen Shayestegan Tomas Zalabsky Jan Mareš Faculty of Electrical Engineering and Informatics University of Pardubice Pardubice Czech Republic Faculty of Electrical Engineering and Informatics Research Center University of Pardubice Pardubice Czech Republic Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Pardubice Czech Republic

This paper presents a new methodology for the data processing and classification method for gait disorders, which is observed with a Kinect camera. The study of gait and motion stability in gait disorders is one of the most interesting research areas in the field. The patient and the physician must monitor the progress of the rehabilitation process before and after surgery to obtain an objective view of the rehabilitation process. In this study, the patient is scanned with the Kinect camera placed on a mobile robotic platform. For feature extraction and feature analysis, the exercises (three walking exercises) frames are collected and saved in data folders. This study uses 84 measurements of 37 patients with complex observations based on the physician's opinion in a clinical setting to address classification problems. In the analysis of gait disorders, motion data play an essential role. Furthermore, it reduces the selection of helpful body features for assessing gait disorders. The proposed system uses a key-point detector that computes body landmarks and classifies gait disorders using triple-parallel long short-term memory (LSTM) networks. The present study demonstrates the success of the method in classification evaluation when combined with the state-of-the-art pose estimation method. Around 81 percent accuracy was achieved for given sets of individuals using velocity-based, angle-based, and position-based features.

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Sequence-Based Predicting Bacterial Essential ncRNAs Algorithm by Machine Learning

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Intelligent Automation & Soft Computing 2023年第6期36卷 2731-2741页

作者： Yuan-Nong Ye Ding-Fa Liang Abraham Alemayehu Labena Zhu Zeng Bioinformatics and Biomedical Big data Mining Laboratory Department of Medical InformaticsSchool of Big HealthGuizhou Medical UniversityGuiyang550025China Cells and Antibody Engineering Research Center of Guizhou Province Key Laboratory of Biology and Medical EngineeringSchool of Biology and EngineeringGuizhou Medical UniversityGuiyang550025China Key Laboratory of Environmental Pollution Monitoring and Disease Control Ministry of EducationGuizhou Medical UniversityGuiyang550025China College of Computational and Natural Sciences Dilla UniversityDilla419Ethiopia

Essential ncRNA is a type of ncRNAwhich is indispensable for the sur-vival of *** essential ncRNAs cannot encode proteins,they are as important as essential coding genes in *** have got wide variety of applications such as antimicrobial target discovery,minimal genome construction and evolution *** present,the number of species required for the deter-mination of essential ncRNAs in the whole genome scale is still very few due to the traditional methods are time-consuming,laborious and *** addition,tra-ditional experimental methods are limited by the organisms as less than 1%of bacteria can be cultured in the ***,it is important and necessary to develop theories and methods for the recognition of essential non-coding *** this paper,we present a novel method for predicting essential ncRNA by using both compositional and derivative features calculated by information theory of ncRNA *** method was developed with Support Vector Machine(SVM).The accuracy of the method was evaluated through cross-species cross-vali-dation and found to be between 0.69 and *** shows that the features we selected have good performance for the prediction of essential ncRNA using ***,the method can be applied for discovering essential ncRNAs in bacteria.

关键词： Bioinformatics biological information theory biomedical informatics

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Fostering Female Futures: Outcomes and Insights from applying The Girls-in-control Workshop in Spain

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IFAC-PapersOnLine 2024年第26期58卷 58-63页

作者： Ángeles Hoyo Malena Caparroz María del Mar Castilla Montserrat Gil-Martínez Steffi Knorn Department of Informatics CIESOL—ceiA3 University of Almería La Cañada de San Urbano Almería Spain Control Engineering Research Group Electrical Engineering Department University of La Rioja Logroño Spain Technical University of Berlin Germany

The underrepresentation of women in Science, Technology, engineering, and Mathematics (STEM) fields remains a significant concern despite ongoing efforts towards gender equality. This gender gap not only underscores disparities in educational opportunities but also raises critical questions about diversity in thinking and innovation within STEM disciplines. Initiatives such as The Girls-in-control workshop aim to address this gap by providing access to essential knowledge and skills in a supportive environment that encourages confidence and motivation among female students. This article presents a detailed analysis of The Girls-in-control workshop held in Spain, focusing on specific control engineering problems and fundamental concepts. Developed in collaboration with several universities and research centers nationwide, the workshop was held on the Day of Women and Girls in Science (11F). Results from questionnaires filled out by both instructors and students highlight the success of the workshop, with students learning key control theory concepts in an engaging way using Scratch programming. Considerations for future editions are also explored.

关键词： Gender gap girls in STEM STEM education virtual education internet based teaching of control engineering

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Input and state constrained inverse optimal control with application to power networks

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IFAC-PapersOnLine 2023年第2期56卷 5451-5456页

作者： Taouba Kaouther Jouini Zhiyong Sun Venkatraman Renganathan Veit Hagenmeyer Institute of Automation and Applied Informatics (IAI) at Karlsruhe Institute of Technology Germany Department of Electrical Engineering Eindhoven University of Technology Netherlands Department of Automatic Control LTH Lund University Sweden

We study input and state constrained inverse optimal control problems starting from a stabilizing controller with a control Lyapunov function, where the goal is to make the controller an explicit solution of the resulting constrained optimal control problem. For an appropriate cost design and initial states for which a sublevel set of the Lyapunov function is contained in the state constraint set and the initial input lies on an ellipsoid inside the input constraint set, we show that the stabilizing controller solves the constrained optimal control problem. Compared to the state-of-the-art, we avoid solving nonlinear optimization problems evaluated pointwise, i.e., for every state, or in a repetitive fashion, i.e., at each time step. We apply our theoretical results to study the angular droop control studied in (Jouini et al., 2022) of an inverter-based power network. For this, we accommodate the constraints on the angle and power generation and exemplify our approach through a two-inverter case study.

关键词： Optimal control Non-Linear control Systems Networked Systems Power and Energy Systems

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Enhancing Circular Economy Using Expert Systems 7th

Enhancing Circular Economy Using Expert Systems

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7th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures, EAI FABULOUS 2023

作者： Knapčíková, Lucia Behúnová, Annamária Husár, Jozef Tauberová, Rebeka Martiček, Matúš Faculty of Manufacturing Technologies with a Seat in Prešov Department of Industrial Engineering and Informatics The Technical University of Košice Bayerova 1 Prešov080 01 Slovakia Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Technical University of Kosice Letna 9 Kosice04200 Slovakia

ISBN: (纸本)9783031500503

An important measure of the success of the expert system’s implementation is its users’ acceptance. An expert system doesn’t have to provide very good conclusions when its use is very complex and time-consuming both in learning and in use. From the user’s point of view, it is important that working with the system is easy and easy to understand. It is appropriate for the system to be able to correct the most common user errors. It is necessary to note that expert systems can also be used for training new experts when workers are familiarized with evaluating input data and the possible conclusions that may result from them with the help of the explanatory mechanism of the system. We cannot get complete information to solve most problems. It remains only to fill in the information data gaps while considering the possibility of error. During processing, the effects of stored knowledge and probabilities are combined. In the post, the main problem was the determined amount of tyres provided to each driver for the race. The work deals with t collecting and processing data on the climate, the type of circuit and the subsequent use of this data in motorsport to reduce the number of tyres provided for the benefit of expert systems. © ICST Institute for Computer Sciences, Social informatics and Telecommunications engineering 2024.

关键词： Expert Systems Industry IoT Monitoring Tyres

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control System of an Autonomous Object Tracking Robot

Control System of an Autonomous Object Tracking Robot

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International Conference on engineering of Modern Electric Systems (EMES)

作者： Tiberiu Barabas Helga Silaghi Dragoş Spoială Maria Gamcova Control Systems Engineering and Management Department University of Oradea Oradea Romania Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice Slovakia

This paper presents the control system of a mobile robot, capable of detecting, tracking and following an object of a certain color. The mobile robot was created for educational purposes, in the CIM laboratory of the University of Oradea. It is based on a crawler robot, controlled with a Raspberry Pi development system. This system controls the movements necessary for tracking the object: moving forward, backward, left turn or right turn. For detecting and locating the object, the robot is also equipped with a video camera connected to Raspberry Pi. The acquisition and processing of images in real time, provided by the camera, are performed with programming functions provided by the OpenCV (Open Source Computer Vision Library). These functions are implemented in a control program, written in Python language. In order to facilitate the tracking of the images obtained and processed during the movements, the robot has also been provided with a graphic display connected to the Raspberry Pi board. This paper also presents the implementation of a numerical control algorithm used for tracking the objects.

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Life Cycle Management in Oil&Gas Products Industry

Life Cycle Management in Oil&Gas Products Industry

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International Conference on engineering of Modern Electric Systems (EMES)

作者： Liliana Doina Măgdoiu Simona Veronica Abrudan Caciora Anca Păcală Maria Gamcova Control Systems Engineering and Management Department University of Oradea Oradea Romania Faculty of Electrical Engineering and Informatics Technical University of Kosice Kosice Slovakia

The life cycle of a petroleum product reflects the evolution of its sales volume over time and represents the interval between its introduction on the market and its definitive disappearance from the commodity exchange arena. During the life cycle of a petroleum product, the company marketing it will keep on reformulating the adopted marketing strategies, as determined by variable conditions and new challenges on the side of the competition, along with the changes in customers' interests and their requirements in relation to the product; therefore, appropriate marketing strategies must be developed for each stage in the life cycle of the petroleum product in order to increase its marketing profitability, even though its existence is limited over time.

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Robotic Assisted Immersive Therapy System for Stroke Rehabilitation

Robotic Assisted Immersive Therapy System for Stroke Rehabil...

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E-Health and Bioengineering Conference (EHB)

作者： Robert Gabriel Lupu Adrian Burlacu Ovidiu Catarama Ionut Sopot Department of Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania Department of Automatic Control and Applied Informatics Gheorghe Asachi Technical University of Iasi Iasi Romania

ISBN: (数字)9798331532147

ISBN: (纸本)9798331532154

The number of stroke cases has increased dramatically in the last 30 years, and more and more people are left disabled because of stroke. It is vital to continue researching new ways to recover and improve their condition. Rehabilitation therapies are based on intensive and repeated training starting as soon as possible. However, the number of therapists is too few to treat the growing number of stroke survivors. Advanced technologies such as virtual reality (VR) and robot-assisted therapies have been introduced to improve stroke rehabilitation. VR-based rehabilitation immerses patients in simulated environments, providing visual feedback miming real-world activities. This approach motivates patients through interactive tasks while engaging their cognitive processes, which is crucial for neuroplasticity and motor recovery. Robot-assisted therapy complements VR by providing precise, repetitive movements and proprioceptive feedback. This paper presents a virtual reality- based and robotic-assisted upper limb neuromotor recovery system. The system combines VR immersion with robotic assistance, allowing patients to receive real-time guidance and support during exercise. The system adapts to the patient's condition, providing personalized visual and physical feedback to help relearn motor skills.

关键词： Training Somatosensory Visualization Robot kinematics Medical treatment Propioception Virtual reality Stroke (medical condition) Motors Real-time systems

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Discrete control algorithms for systems with big dead time for control101 MATLAB toolbox

Discrete control algorithms for systems with big dead time f...

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Cybernetics & informatics (K&I)

作者： Ruth Bars Gyula Max J. Anthony Rossiter László Keviczky Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary School of Electrical and Electronic Engineering University of Sheffield Sheffield UK Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary

ISBN: (数字)9798331541811

ISBN: (纸本)9798331541828

The first course of control is under a critical review. Both the teaching material covered and the teaching methods require new considerations. Introducing interactivity in the education process makes the learning more successful and enjoyable. MATLAB provides an effective environment for learning and applying different disciplines. control101 is a new MATLAB toolbox under development which provides tools for interactive learning of control disciplines. This paper presents the framework for teaching discrete control algorithms applied for processes containing large dead times.

关键词： Visualization Systematics PI control Reviews Education Laboratories Process control Prediction algorithms PD control MATLAB

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