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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Shankar A. Deka Sujet Phodapol Andreu Matoses Gimenez Victor Nan Fernandez-Ayala Rufus Wong Pian Yu Xiao Tan Dimos V. Dimarogonas Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Espoo Finland Division of Decision and Control Systems School of EECS Royal Institute of Technology (KTH) Stockholm Sweden Department of Cognitive Robotics Faculty of Mechanical Engineering TU Delft Delft Netherlands Department of Computer Science University of Oxford Oxford UK

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

In this paper, we introduce a ROS based framework designed for the planning and control of robotic systems within the context of precision agriculture, with an emphasis on human-in-the-loop capabilities. Utilizing Linear Temporal Logic to articulate complex task specifications, our algorithm creates high-level robotic plans that are not only correct by design but also adaptable in real time by human operators. This dual-focus approach ensures that while humans have the flexibility to modify the high-level plan on-the-fly or even take over low-level control of the robots, the system inherently safeguards against any human actions that could potentially breach the predefined task specifications. We demonstrate our algorithm within the dynamic and challenging environment of a real vineyard, where the collaboration between human workers and robots is critical for tasks such as harvesting and pruning, and show the practical applicability and robustness of our software. This work marks a pioneering application of formal methods to complex, real-world agricultural environments.

关键词： Precision agriculture Heuristic algorithms Software algorithms Robustness Human in the loop Software Real-time systems Planning Robots Multi-agent systems

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Arctic Respiratory Monitoring System

Arctic Respiratory Monitoring System

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International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： G. Lukyanov A. Rassadina V. Kossareva A.A. Stepanov R.Z. Alexeev The Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia Larionov Institute of Physical and Technical Problems of the North SB RAS Yakutsk Russian Federation Laboratory of Immunological researches Yakut Science Centre of Complex Medical Problems Medical Institute M. K. Ammosov North-Eastern Federal University Yakutsk Russia

ISBN: (数字)9781728169514

ISBN: (纸本)9781728169521

The results of heat transfer dynamic processes during the breathing are presented. The study is relevant for investigation of health in the extreme conditions of the Arctic. For estimation of this processes the measurement system of temperature, pressure and velocity pulsations in nostrils are developed. It has been shown that for respiratory system diagnostic it is necessary to analyze such dynamic characteristics as the power spectral density and entropy.

关键词： Temperature measurement Heat transfer Monitoring Temperature sensors Pressure measurement Fluctuations Semiconductor device measurement

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Machine Learning with Blockchain for Secure E-voting System

Machine Learning with Blockchain for Secure E-voting System

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2020 First International Conference of Smart systems and Emerging Technologies (SMARTTECH)

作者： Muhammad Asaad Cheema Nouman Ashraf Asad Aftab Hassaan Khaliq Qureshi Muhammad Kazim Ahmad Taher Azar National University of Sciences and Technology (NUST) Islamabad Pakistan Telecommunication Software and System Group (TSSG) Waterford Institute of Technology Waterford Ireland Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Robotics and Internet-of-Things Lab (RIOTU) Prince Sultan University Riyadh Saudi Arabia Faculty of Computers and Artificial Intelligence Benha University

ISBN: (数字)9781728174075

ISBN: (纸本)9781728174082

Voting is a central component of a country's political life cycle. Privacy, authentication and integrity of citizens' votes and their data are considered to be essential to any e-voting program. In order to resolve these concerns, we propose a stable e-voting system based on the principles of blockchain and machine learning. We use blockchain to ensure the integrity and security of votes, machine learning model to detect intrusion in voting data centers and e-voting stations. In the proposed model, we use the concepts of personal and public blockchain. The personal blockchain is used for the purposes of voter registration and voting. The public blockchain is used to maintain the integrity of the personal data of the voters by storing the root hash derived from the Merkle hash tree and revealing the results of the voting stations as soon as the voting process is completed. The proposed blockchain-based e-voting system offers transparency, treasury, confidence and prevents intrusion into the information exchange network.

关键词： Data centers Support vector machine classification Blockchain Machine learning Web servers Registers Electronic voting

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Fall detection for elderly by using an intelligent cane robot based on center of pressure (COP) stability theory

Fall detection for elderly by using an intelligent cane robo...

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International Symposium on Micromechatronics and Human Science (MHS)

作者： Pei Di Jian Huang Shotaro Nakagawa Kosuke Sekiyama Toshio Fukuda Department of Micro-Nano Systems Engineering Nagoya University Aichi Nagoya Japan Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Institute for Advanced Research Nagoya University Chikusa-ku Nagoya Japan The Intelligent Robotics Institute School of Mechatronic Engineering Beijing Institute of Technology China The Faculty of Science and Engineering Meijo University Japan

An intelligent cane robot was designed for aiding the elderly and handicapped people walking. The robot consists of a stick, a group of sensors and an omni-directional basis driven by three Swedish wheels. Multiple sensors were used to recognize the user's “walking intention”, which is quantitatively described by a new concept called intentional direction (ITD). Based on the guidance of filtered ITD, a novel intention-based admittance motion control (IBAC) scheme was proposed for the cane robot. To detect the fall of user, a detection method based on Dubois possibility theory was proposed using the combined sensor information from force sensors, a laser ranger finder (LRF) and an on-shoe load sensor. The human fall model was represented in a two-dimensional space, where the relative position between the center of pressure (COP) and the center of support triangle was utilized as a significant feature. The effectiveness of proposed fall detection method was also confirmed by experiments.

关键词： Legged locomotion Robot sensing systems Senior citizens Artificial intelligence

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Applying the Results of Hydrodynamic and Heat Transfer Processes Research in 3D Nasal Cavity Models for Revealing Predisposing Towards Respiratory Diseases at Extreme Conditions of the Arctic

Applying the Results of Hydrodynamic and Heat Transfer Proce...

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International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： G. Lukyanov A. Rassadina R. Neronov A.A. Stepanov R.Z. Alexeev The Faculty of Control Systems and Robotics ITMO University Saint-Petersburg Russia “Modern Medical Technologies” Clinic Saint-Petersburg Russia Larionov Institute of Physical and Technical Problems of the North SB RAS Yakutsk Russian Federation Laboratory of Immunological researches Yakut Science Centre of Complex Medical Problems Medical Institute M. K. Ammosov North-Eastern Federal University Yakutsk Russia

It has been found that the shape of nasal cavity influences to the hydrodynamics and heat transfer in the respiratory system which at the extreme environmental conditions of the Arctic can be a reason of predispositio... 详细信息

ISBN: (数字)9781728169514

ISBN: (纸本)9781728169521

关键词： Nose Atmospheric modeling Shape Numerical models Solid modeling Indexes Arctic

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Fuzzy Self-Adaptive Sliding Mode control for Pneumatic Cylinder Rod-Piston Motion Precision control.

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

作者： Mohd Iskandar Putra Addie Irawan Raja Mohd Taufika Robotics Intelligent Systems & Control Engineering (RISC) Research Group Faculty of Electrical & Electronics Engineering Technology Universiti Malaysia Pahang 26600 Pekan Pahang Malaysia

This paper presents the Fuzzy Self-Adaptive Sliding Mode controller (FSASMC) designed to control a pneumatic cylinder rod-piston motion and precision. The pneumatic system is widely used in the industry due to its advantages such as high weight to power ratio, high traveling speed, clean fluid medium, and cost-effective in terms of price and maintenance. However, due to the high nonlinearity behavior of pneumatic system, the position control of the pneumatic system is still a challenging task. The most critical part of controlling the pneumatic system with various motion is in giving a stable pressure in chambers, while the rod-piston motion is precisely controlled with any shape of inputs with minimum friction. Therefore, FSASMC is proposed to cater to this matter with fast responses through Sliding Mode control (SMC) and dynamic stability in pressures through Fuzzy Self-adaptive tuning using Fuzzy Logic control (FLC). The proposed control system is verified, and analysis was emphasized on steady-state error, velocity, pressure in pneumatic cylinder chambers, and frictional force. Simulation results show that the proposed controller approach performing fast-tracking error on pneumatic rod-piston motion with a very low steady-state error, no oscillation and stable in air pressures.

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An Early Stage Researcher's Primer on systems Medicine Terminology

Network and Systems Medicine

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Network and systems Medicine 2021年第1期4卷 2-50页

作者： Zanin, Massimiliano Aitya, Nadim A.A. Basilio, José Baumbach, Jan Benis, Arriel Behera, Chandan K. Bucholc, Magda Castiglione, Filippo Chouvarda, Ioanna Comte, Blandine Dao, Tien-Tuan Ding, Xuemei Pujos-Guillot, Estelle Filipovic, Nenad Finn, David P. Glass, David H. Harel, Nissim Iesmantas, Tomas Ivanoska, Ilinka Joshi, Alok Boudjeltia, Karim Zouaoui Kaoui, Badr Kaur, Daman Maguire, Liam P. McClean, Paula L. McCombe, Niamh De Miranda, João Luís Moisescu, Mihnea Alexandru Pappalardo, Francesco Polster, Annikka Prasad, Girijesh Rozman, Damjana Sacala, Ioan Sanchez-Bornot, Jose M. Schmid, Johannes A. Sharp, Trevor Solé-Casals, Jordi Spiwok, Vojtěch Spyrou, George M. Stalidzans, Egils Stres, Blaa Sustersic, Tijana Symeonidis, Ioannis Tieri, Paolo Todd, Stephen Van Steen, Kristel Veneva, Milena Wang, Da-Hui Wang, Haiying Wang, Hui Watterson, Steven Wong-Lin, Kongfatt Yang, Su Zou, Xin Schmidt, Harald H.H.W. Centro de Tecnología Biomédica Universidad Politécnica de Madrid Madrid Spain Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Ulster United Kingdom Center for Physiology and Pharmacology Institute of Vascular Biology and Thrombosis Research Medical University of Vienna Vienna Austria TUM School of Life Sciences Weihenstephan Technical University of Munich Freising Germany Holon Israel CNR National Research Council IAC Institute for Applied Computing Rome Italy Lab of Computing Medical Informatics and Biomedical Imaging Technologies School of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Université Clermont Auvergne INRAE UNH Plateforme d'Exploration du Métabolisme MetaboHUB Clermont Clermont-Ferrand France Université de Technologie de Compiègne Compiègne France Labex MS2T Control of Technological Systems-of-Systems CNRS and Université de Technologie de Compiègne Compiègne France Faculty of Engineering University of Kragujevac Kragujevac Serbia Kragujevac Serbia Steinbeis Advanced Risk Technologies Institute Doo Kragujevac Kragujevac Serbia Pharmacology and Therapeutics School of Medicine Galway Neuroscience Centre National University of Ireland Galway Ireland School of Computing Ulster University Ulster United Kingdom Holon Israel Department of Mathematics and Natural Sciences Kaunas University of Technology Kaunas Lithuania Faculty of Computer Science and Engineering Ss. Cyril and Methodius University Skopje Macedonia Medicine Faculty Université Libre de Bruxelles CHU de Charleroi Charleroi Belgium Northern Ireland Centre for Stratified Medicine Biomedical Sciences Research Institute Ulster University Ulster United Kingdom Escola Superior de Tecnologia e Gestão Instituto Politécnico de Portalegre Portalegre Portugal Instituto Superior Técnico Universidade de Lisboa Lisboa Portugal Faculty of Automatic Control and Computers University Politehnica of B

Background: systems Medicine is a novel approach to medicine, that is, an interdisciplinary field that considers the human body as a system, composed of multiple parts and of complex relationships at multiple levels, and further integrated into an environment. Exploring systems Medicine implies understanding and combining concepts coming from diametral different fields, including medicine, biology, statistics, modeling and simulation, and data science. Such heterogeneity leads to semantic issues, which may slow down implementation and fruitful interaction between these highly diverse fields. Methods: In this review, we collect and explain more than100 terms related to systems Medicine. These include both modeling and data science terms and basic systems medicine terms, along with some synthetic definitions, examples of applications, and lists of relevant references. Results: This glossary aims at being a first aid kit for the systems Medicine researcher facing an unfamiliar term, where he/she can get a first understanding of them, and, more importantly, examples and references for digging into the topic. © Massimiliano Zanin et al., 2021;Published by Mary Ann Liebert, Inc. 2021.

关键词： Semantics

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Harmonic insertion in PWM inverter drive schemes

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European Transactions on Electrical Power 1992年第3期2卷 143-151页

作者： Theocharis, J. Petridis, V. Dr.-Ing. John Theocharis (1956) graduated as an Electrical Engineer from Aristotelian University of Thessaloniki.Greece in 1980. From 1980 to 1985 he has been with the scientific staff of the Department of Electrical Engineering at the Aristotelian University where he received the Ph.D. degree in 1985. Since 1986 he is working as a lecturer and in 1990 he became assistant professor at the Department of Electronics and Computer Engineering in the m e university. His research activities include control power electronics and electrical motor drives. Recently he is working with the Neural Network Systems with applications to field oriented control problems. Aristotelian University of Thessaloniki School of Engineering Faculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438 GR-Thessalonikil/Greece.T+3131/219784Fax + 3031/274868) Prof. Dr.-Ing. Vasilis Petridis (1946) graduated from National Technical University of Athens Greece in 1969.He obtained the M.Sc. and the Ph.D. in electronics and systems from the University of London in 1970 and 1974. respectively. H i s interests include applied automatic control neural networks drives dynamic systems robotics etc. He is currently professor in the Department of Electronics and Computer Engineering of the University of Thessaloniki. (Aristotelian University of Thessaloniki. School of EngineeringFaculty of Electrical Engineering Dept. of Electronics & Computer Engineering P.O. Box 438. GR-ThessaloniW Greece T+3031/219784.Fax+3031/274868)

The procedure of harmonic insertion is generalized in this paper. Analytical expressions of the voltage spectra are derived. The insertion of the 3rd harmonic to the modulating signal, which is of particular interest, is considered as a special case. It is demonstrated in this case that the fundamental harmonic component of the phase and the line‐to‐line voltage is not affected by the insertion of the 3rd harmonic for sufficiently high values of the chopping ratio. However it has been shown that the higher harmonic spectrum is significantly improved as compared to the case of pure sinusoidal modulation. For different values of the fundamental component the optimal values of the amplitude of the third harmonic to be inserted have been calculated so that the distortion factor of the higher harmonic spectrum is minimized. Other cases of harmonic insertion are also considered which provide spectrum efficiency improvement. Experimental results are given which have been obtained by means of a microcomputer controlled PWM generator constructed for this purpose. Copyright © 1992 John Wiley & Sons, Ltd.

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Generation of New Exciting Regressors for Consistent On-line Estimation of Unknown Constant Parameters

arXiv

引用

arXiv 2021年

作者： Bobtsov, Alexey Yi, Bowen Ortega, Romeo Astolfi, Alessandro Hangzhou310018 China The Faculty of Control Systems and Robotics ITMO University Kronverkskiy av. 49 St. Petersburg197101 Russia Australian Centre for Field Robotics The University of Sydney SydneyNSW2006 Australia Departamento Académico de Sistemas Digitales ITAM Ciudad de México Mexico The Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom The DICII Universita di Roma "Tor Vergata" Via del Politecnico 1 Roma00133 Italy

The problem of estimating constant parameters from a standard vector linear regression equation in the absence of sufficient excitation in the regressor is addressed. The first step to solve the problem consists in transforming this equation into a set of scalar ones using the well-known dynamic regressor extension and mixing technique. Then a novel procedure to generate new scalar exciting regressors is proposed. The superior performance of a classical gradient estimator using this new regressor, instead of the original one, is illustrated with comprehensive simulations. © 2021, CC BY.

关键词： Parameter estimation

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Stability of a planetary climate system with the biosphere species competing for resources

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Physical Review E 2021年第2期103卷 022202-022202页

作者： Sergey A. Vakulenko Ivan Sudakov Sergei V. Petrovskii Dmitry Lukichev Institute for Problems in Mechanical Engineering Russian Academy of Sciences St. Petersburg 199178 Russia Faculty of Control Systems and Robotics ITMO University Saint Petersburg 197101 Russia Department of Physics University of Dayton 300 College Park SC 111 Dayton Ohio 45469-2314 USA School of Mathematics and Actuarial Science University of Leicester Leicester LE1 7RH United Kingdom S. M. Nikol'skii Mathematical Institute Peoples' Friendship University of Russia (RUDN University) Moscow 117198 Russia

With the growing number of discovered exoplanets, the Gaia concept finds its second wind. The Gaia concept defines that the biosphere of an inhabited planet regulates a planetary climate through feedback loops such that the planet remains habitable. Crunching the “Gaia” puzzle has been a focus of intense empirical research. Much less attention has been paid to the mathematical realization of this concept. In this paper, we consider the stability of a planetary climate system with the dynamic biosphere by linking a conceptual climate model to a generic population dynamics model with random parameters. We first show that the dynamics of the corresponding coupled system possesses multiple timescales and hence falls into the class of slow-fast dynamics. We then investigate the properties of a general dynamical system to which our model belongs and prove that the feedbacks from the biosphere dynamics cannot break the system's stability as long as the biodiversity is sufficiently high. That may explain why the climate is apparently stable over long time intervals. Interestingly, our coupled climate-biosphere system can lose its stability if biodiversity decreases; in this case, the evolution of the biosphere under the effect of random factors can lead to a global climate change.

关键词： Climate research Ecology & evolution Planets & planetary systems

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