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21st International Conference on process control, PC 2017

作者： Sharma, K. Rahul Dusek, Frantisek Honc, Daniel Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Nám Čs. legií 565 Pardubice53210 Czech Republic

ISBN: (纸本)9781538640111

The paper deals with predictive control of non-holonomic mobile robot. The basic nonlinear kinematic equation is linearized into two different linear time varying models based on frame of reference-world coordinates and local coordinate of mobile robot. The non-linear model predictive control is applied to the trajectory tracking problem of a non-holonomic mobile robot with these models. The control law is derived from a cost function which penalizes the state tracking error, control effort and terminal state deviation error. Various simulation experiments are conducted and a comparative analysis has been made with respect to state-of-the-art approaches. © 2017 IEEE.

关键词： Mobile robots

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Modelling of ball and plate system based on first principle model and optimal control 21

Modelling of ball and plate system based on first principle ...

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21st International Conference on process control, PC 2017

作者： Dusek, Frantisek Honc, Daniel Sharma, K. Rahul Department of Process Control Faculty of Electrical Engineering and Informatics University of Pardubice Nám Čs. legií 565 Pardubice53210 Czech Republic

ISBN: (纸本)9781538640111

This paper presents modelling of ball and plate systems based on first principles by considering balance of forces and torques. A non-linear model is derived considering the dynamics of motors, gears, ball and plate. The non-linear model is linearized near the operating region to obtain a standard state space model. This linear model is used for discrete optimal control of the ball and plate system-The trajectory of the ball is controlled by control voltages to the motor. © 2017 IEEE.

关键词： State space methods

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3D object detection and scene optimization for tangible augmented reality

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2018年第2期62卷 25-37页

作者： Szemenyei, Márton Vajda, Ferenc Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics P.O.B. 91 BudapestH-1521 Hungary

Object recognition in 3D scenes is one of the fundamental tasks in computer vision. It is used frequently in robotics or augmented reality applications [1]. In our work we intend to apply 3D shape recognition to create a Tangible Augmented Reality system that is able to pair virtual and real objects in natural indoors scenes. In this paper we present a method for arranging virtual objects in a real-world scene based on primitive shape graphs. For our scheme, we propose a graph node embedding algorithm for graphs with vectorial nodes and edges, and genetic operators designed to improve the quality of the global setup of virtual objects. We show that our methods improve the quality of the arrangement significantly. © Budapest University of Technology and Economics. All rights reserved.

关键词： Embeddings

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Soft-Sensing Estimation of Optical Density for PHA Production Using Multilayer Perceptron Neural Network

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Journal of Physics: Conference Series 2020年第1期1532卷

作者： Nor Hana Mamat Samsul Bahari Mohd Noor Azura Che Soh Farah Saleena Taip Ahmad Hazri Ab. Rashid Nur Liyana Jufika Ahmad Ishak Mohd Yusof Adida Zuraida Mohamad Control System and Signal Processing Research Centre Department of Electrical & Electronic Engineering Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Faculty of Electrical and Automation Engineering Technology TATI University College Teluk Kalong 24000 Kemaman Terengganu. Food and Process Department Faculty of Engineering Universiti Putra Malaysia 43400 UPM Serdang Selangor. Industrial Biotechnology Research Centre SIRIM Berhad Persiaran Dato' Menteri Seksyen 2 40700 Shah Alam Selangor.

Biomass concentration is an important indicator of production rate in polyhydroxyalkanoates (PHA) fermentation process. In current practice, measurement of biomass concentration is done off-line by laboratory analysis that is unsuitable for online process monitoring and control. Soft-sensor is often used as an alternative that provides an estimate of hard to measure parameters from easy to measure process data. However, most of these studies use simulated data or data generated from mathematical model that was developed without full consideration of process and measurement uncertainty. In this study, a soft-sensor is developed from real production data for PHA fermentation in pilot-scale bioreactor with the appropriate data pre-processing techniques applied to process data that was obtained from this system. Multilayer perceptron (MLP) neural network is used to estimate biomass concentration using secondary process parameters such as dissolved oxygen (DO), temperature, pH and agitation speed as inputs. Different models are developed based on different batches of production data and various network architecture in order to study the appropriate integration of process data and network topology that gives the best model accuracy. Results indicate that the biomass soft-sensor developed using MLP-ANN provides a better estimate of biomass in comparison to radial basis function (RBF) neural network and support vector regression (SVR) methods. The developed soft-sensor can be further used in monitoring and control of production output.

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Development of an incremental pattern extraction based Gomoku agent

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica electrical engineering and computer science 2018年第4期62卷 155-164页

作者： Szőts, János Harmati, István Department of Control Engineering and Information Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar Tudósok krt. 2 BudapestH-1117 Hungary

The subject of this paper is an unusual approach to artificial game playing. Our main goal is to replace exhaustive game tree search with incremental pattern extraction and recognition, thus greatly reducing computation time. This is achieved using search with a depth of 3, together with pattern matching and pattern-based heuristic functions, where patterns are learned through play. We examine the efficiency and efficacy of this method regarding the game Gomoku, also known as Five-in-a-row. To evaluate our agent, we implement two basic reference agents and also incorporate a strong open-source AI called "Carbon" into our environment. © 2018 Budapest University of Technology and Economics. All Rights Reserved.

关键词： Machine learning

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The overlapping burden of the three leading causes of disability and death in sub-Saharan African children

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Nature Communications 2022年第1期13卷 1-14页

作者： Reiner, Robert C. Welgan, Catherine A. Troeger, Christopher E. Baumann, Mathew M. Weiss, Daniel J. Deshpande, Aniruddha Blacker, Brigette F. Miller-Petrie, Molly K. Earl, Lucas Bhatt, Samir Abolhassani, Hassan Abosetugn, Akine Eshete Abu-Gharbieh, Eman Adekanmbi, Victor Adetokunboh, Olatunji O. Aghaali, Mohammad Aji, Budi Alahdab, Fares Al-Aly, Ziyad Alhassan, Robert Kaba Ali, Saqib Alizade, Hesam Aljunid, Syed Mohamed Almasi-Hashiani, Amir Al-Mekhlafi, Hesham M. Altirkawi, Khalid A. Alvis-Guzman, Nelson Amare, Azmeraw T. Amini, Saeed Amugsi, Dickson A. Ancuceanu, Robert Andrei, Catalina Liliana Ansari, Fereshteh Anvari, Davood Appiah, Seth Christopher Yaw Arabloo, Jalal Aremu, Olatunde Atout, Maha Moh’d Wahbi Ausloos, Marcel Ausloos, Floriane Ayanore, Martin Amogre Aynalem, Yared Asmare Azene, Zelalem Nigussie Badawi, Alaa Baig, Atif Amin Banach, Maciej Bedi, Neeraj Bhagavathula, Akshaya Srikanth Bhandari, Dinesh Bhardwaj, Nikha Bhardwaj, Pankaj Bhattacharyya, Krittika Bhutta, Zulfiqar A. Bijani, Ali Birhanu, Tesega Tesega Mengistu Bitew, Zebenay Workneh Boloor, Archith Brady, Oliver J. Butt, Zahid A. Car, Josip Carvalho, Felix Casey, Daniel C. Chattu, Vijay Kumar Chowdhury, Mohiuddin Ahsanul Kabir Chu, Dinh-Toi Coelho, Camila H. Cook, Aubrey J. Damiani, Giovanni Daoud, Farah Gela, Jiregna Darega Darwish, Amira Hamed Daryani, Ahmad Das, Jai K. Davis Weaver, Nicole Deribe, Kebede Desalew, Assefa Dharmaratne, Samath Dhamminda Dianatinasab, Mostafa Diaz, Daniel Djalalinia, Shirin Dorostkar, Fariba Dubljanin, Eleonora Duko, Bereket Dwyer-Lindgren, Laura Effiong, Andem El Sayed Zaki, Maysaa El Tantawi, Maha Enany, Shymaa Fattahi, Nazir Feigin, Valery L. Fernandes, Eduarda Ferrara, Pietro Fischer, Florian Foigt, Nataliya A. Folayan, Morenike Oluwatoyin Foroutan, Masoud Frostad, Joseph Jon Fukumoto, Takeshi Gaidhane, Abhay Motiramji Gebrekrstos, Hailemikael Gebrekidan G. K. Gebremeskel, Leake Gebreslassie, Assefa Ayalew Gething, Peter W. Gezae, Kebede Embaye Ghadiri, Keyghobad Ghashghaee, Ahmad Golechha, Mahaveer Gubar Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Malaria Atlas Project University of Oxford Oxford United Kingdom Imperial College London London United Kingdom Department of Laboratory Medicine Karolinska University Hospital Huddinge Sweden Research Center for Immunodeficiencies Tehran University of Medical Sciences Tehran Iran Department of Public Health Debre Berhan University Debre Berhan Ethiopia Department of Clinical Sciences University of Sharjah Sharjah United Arab Emirates Population Health Sciences King’s College London London United Kingdom Centre of Excellence for Epidemiological Modelling and Analysis Stellenbosch University Stellenbosch South Africa Department of Global Health Stellenbosch University Cape Town South Africa Department of Epidemiology and Biostatistics Qom University of Medical Sciences Qom Iran Faculty of Medicine and Public Health Jenderal Soedirman University Purwokerto Indonesia Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center Department of Veterans Affairs St Louis MO United States Institute of Health Research University of Health and Allied Sciences Ho Ghana Department of Information Systems College of Economics and Political Science Sultan Qaboos University Muscat Oman Infectious and Tropical Disease Research Center Hormozgan University of Medical Sciences Bandar Abbas Iran Department of Health Policy and Management Kuwait University Safat Kuwait International Centre for Casemix and Clinical Coding National University of Malaysia Bandar Tun Razak Malaysia Department of Epidemiology Arak University of Medical Sciences Arak Iran Medical Research Center

Despite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa (SSA). The spatial burden of each of these diseases has been estimated subnationally across SSA, yet no prior analyses have examined the pattern of their combined burden. Here we synthesise subnational estimates of the burden of LRIs, diarrhoea, and malaria in children under-5 from 2000 to 2017 for 43 sub-Saharan countries. Some units faced a relatively equal burden from each of the three diseases, while others had one or two dominant sources of unit-level burden, with no consistent pattern geographically across the entire subcontinent. Using a subnational counterfactual analysis, we show that nearly 300 million DALYs could have been averted since 2000 by raising all units to their national average. Our findings are directly relevant for decision-makers in determining which and targeting where the most appropriate interventions are for increasing child survival. © 2022, The Author(s).

关键词： Biogeography Epidemiology Infectious diseases Malaria

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Challenges in differentiating between attention disorders based on EEG recordings in neurofeedback therapy

Challenges in differentiating between attention disorders ba...

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Applications of Electromagnetics in Modern Techniques and Medicine (PTZE)

作者： Żołubak Magda Pelc Mariusz Kawala-Janik Aleksandra Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Department of Computing and Information Systems University of Greenwitch Greenwitch England

The aim of this article is to show problems with the analysis of various cognitive disorders in the registered EEG signal and the effects of the neurofeedback therapy. Most of the disorders tested in ICD-10 have electroencephalographic readings associated with Beta bands and slow waves. All problems with attention deficit have similar records in the EEG signal and similar training protocols are used in their therapy and the results of the therapy are visible in more than 10 training sessions.

关键词： Electroencephalography Training Neurofeedback Medical treatment Protocols Cancer Pediatrics

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A lyapunov-based small-gain theorem for infinite networks

arXiv

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arXiv 2019年

作者： Kawan, Christoph Mironchenko, Andrii Swikir, Abdalla Noroozi, Navid Zamani, Majid Institute of Informatics Ludwig Maximilian University of Munich Germany Faculty of Computer Science and Mathematics University of Passau Passau94032 Germany Department of Electrical and Computer Engineering Technical University of Munich Germany Otto-von-Guericke University Magdeburg Laboratory for Systems Theory and Automatic Control Magdeburg Germany Computer Science Department University of Colorado BoulderCO80309 United States Computer Science Department Ludwig Maximilian University of Munich Germany

This paper presents a small-gain theorem for networks composed of a countably infinite number of finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains, has a spectral radius less than one, the overall infinite network is exponentially input-to-state stable. The effectiveness of our result is illustrated through several examples including nonlinear spatially invariant systems with sector nonlinearities and a road traffic *** Codes 37B25, 37L15, 93D05, 93A15 Copyright © 2019, The Authors. All rights reserved.

关键词： Large scale systems

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Modeling and control of Multi-Arm and Multi-Leg Robots: Compensating for Object Dynamics During Grasping

Modeling and Control of Multi-Arm and Multi-Leg Robots: Comp...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Niels Dehio Joshua Smith Dennis Leroy Wigand Guiyang Xin Hsiu-Chin Lin Jochen J. Steil Michael Mistry Research Institute for Robotics and Process Control (IRP) Technical University Braunschweig Germany School of Informatics University of Edinburgh United Kingdom Faculty of Technology Bielefeld University Germany School of Mechanical and Electrical Engineering Central South University China

We consider a virtual manipulator in grasping scenarios which allows us to capture the effect of the object dynamics. This modeling approach turns a multi-arm robot into an underactuated system. We observe that controlling floating-base multi-leg robots is fundamentally similar. The Projected Inverse Dynamics control approach is employed for decoupling contact consistent motion generation and controlling contact wrenches. The proposed framework for underactuated robots has been evaluated on an enormous robot hand composed of four KUKA LWR IV+ representing fingers cooperatively manipulating a 9kg box with total 28 actuated DOF and six virtual DOF representing the object as additional free-floating robot link. Finally, we validate the same approach on ANYmal, a floating-base quadruped with 12 actuated DOF. Experiments are performed both in simulation and real world.

关键词： Grasping Dynamics Task analysis Jacobian matrices Manipulator dynamics

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Implementation of Non-Integer Order Filtering for the Purpose of Disparities Detection in Beta Frequencies - A Pilot Study

Implementation of Non-Integer Order Filtering for the Purpos...

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International Conference on Methods and Models in Automation and Robotics

作者： Aleksandra Kawala-Janik Magda Zolubak Waldemar Bauer Bartosz Nazimek Tomasz Sobolewski Radek Martinek Marcin Sowa Mariusz Pelc Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland Department of Neurosurgery University Hospital in Opole Opole Poland Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic

In this work the authors of the hereof paper describe pilot study on implementation of fractional order filtering applied for the purpose of disparities detection in Beta Frequencies. The Beta waves frequency range can be split into three sections, where the information provided by particular section enables more accurate medical diagnosis. Spectral analysis used in this study allowed appropriate isolation of the Beta waves. Implementation of non-integer order filtering in such study is innovative and provided some promising results.

关键词： Electroencephalography Spectrogram Electronic mail Frequency measurement Transfer functions electrical engineering Stress

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