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Semi-virtual Plant for the Modelling, control and Supervision of batch-processes. An example of a greenhouse irrigation system

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IFAC-PapersOnLine 2015年第29期48卷 123-128页

作者： Rodríguez, F. Castilla, M. Sánchez, J.A. Pawlowski, A. Department of Computer Science Automatic Control Robotics and Mechatronics Research Group University of Almería Agrifood Campus of International Excellence CeiA3 Spain Department of Computer Science and Automatic Control ETSII UNED Madrid Spain

In this work, a hardware-software architecture for control engineering education is proposed and a case of study regarding a greenhouse irrigation virtual process has been implemented. This specific process is especially useful for subjects related to industrial automation, since it is characterized by mixed dynamics (continuous/discrete) and can be controlled by a Programmable Logic controller (PLC). In such a case, there is no need to access to the real process that is not always available for practical exercises. Moreover, the developed scheme eliminates the maintenance costs related to real process, being a very important advantage for academic institutions. The developed architecture for the industrial process simulation uses Labview, OPC, MODBUS, SolidWorks and Schneider Modicon M340 PLC for the control of virtual processes. The developed example is applied to the greenhouse fertirrigation control that enables the agricultural engineering students to design the irrigation control system. The control strategy is implemented on the PLC which interacts with the virtual process by carrying out the necessary actions in order to control the appropriate variables of the process. © 2015, IFAC (International Federation of automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Process control Batch data processing Engineering education Greenhouses Irrigation Academic institutions control strategies Industrial automation Industrial process simulation Irrigation controls Irrigation systems Programmable Logic controller (PLC) Virtual plants

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APPLICATIONS OF FUZZY RELATIONAL EQUATIONS FOR METHODS OF REASONING IN PRESENCE OF FUZZY DATA

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FUZZY SETS AND SYSTEMS 1985年第2期16卷 163-175页

作者： PEDRYCZ, W Department of Automatic Control and Computer Science Silesian Technical University 44-100 Gliwice Pstrowskiego 16 Poland

The paper deals with implementation of a general scheme for fuzzy logic inference with the aid of fuzzy relational equations. It is shown that antecedents and consequents are related in terms of a fuzzy relation. Various implementation methods of generalized modus ponens and modus tollens are put into extensive study. It is pointed out that fuzzy relational equations form an effective and plausible tool for implementations of reasoning methods with fuzzy premises. Two examples of fuzzy controllers being a direct application of schemes of approximate reasoning are also discussed.

关键词： Fuzzy relational equation Approximate reasoning

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ON DISTRIBUTION FUNCTION DESCRIPTION OF PROBABILISTIC SETS AND ITS APPLICATION IN DECISION-MAKING

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FUZZY SETS AND SYSTEMS 1983年第1期10卷 21-29页

作者： CZOGALA, E Department of Automatic Control and Computer Science Silesian Technical University 44-100 Gliwice Poland

The paper deals with some problems of decision making described and solved by the use of the concept of a probabilistic set. The distribution function description of probabilistic sets which is important from a theoretical point of view is discussed, and its application in decision making is illustrated by means of numerical examples.

关键词： Probabilistic set Distribution function Density function Decision making

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Tumor Cellularity Assessment Using Artificial Intelligence Trained on Immunohistochemistry-Restained Slides Improves Selection of Lung Adenocarcinoma Samples for Molecular Testing

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American Journal of Pathology 2025年第5期195卷 907-922页

作者： Gertych, Arkadiusz Zurek, Natalia Piaseczna, Natalia Szkaradnik, Kamil Cui, Yujie Zhang, Yi Nurzynska, Karolina Pyciński, Bartłomiej Paul, Piotr Bartczak, Artur Chmielik, Ewa Walts, Ann E. Faculty of Biomedical Engineering Silesian University of Technology Zabrze Poland Department of Pathology and Laboratory Medicine Cedars-Sinai Medical Center Los Angeles California United States Department of Surgery Cedars-Sinai Medical Center Los Angeles California United States F. Widjaja Inflammatory Bowel Disease Institute Cedars-Sinai Medical Center Los Angeles California United States Biostatistics Shared Resource Cedars-Sinai Medical Center Los Angeles California United States Biobank and Research Pathology Resource Cedars-Sinai Medical Center Los Angeles California United States Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Tumor Pathology Department Maria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch Gliwice Poland Hospital for Lung Diseases “Rebirth ” Zakopane Poland

Tumor cellularity (TC) in lung adenocarcinoma slides submitted for molecular testing is important in identifying actionable mutations, but lack of best practice guidelines results in high interobserver variability in TC assessments. An artificial intelligence (AI)–based pipeline developed to assess TC in hematoxylin and eosin (H&E) whole slide images (WSIs) and in tumor areas (TAs) within WSIs includes a new model (CaBeSt-Net) trained to mask cancer cells, benign epithelial cells, stroma in H&E WSIs using immunohistochemistry-restained slides, and a model to detect all cell nuclei. High masking accuracy (>91%) by CaBeSt-Net computed using 1024 H&E regions of interest and intraclass correlation coefficient >0.97 assessing TC assessments reliability by one pathologist and AI in 20 test regions of interest supported the pipeline's applicability to TC assessment in 50 study H&E WSIs. Using the pipeline, TCs assessed in TAs and WSIs were compared with those by three pathologists. Reliabilities of these ratings by the pathologists supported by the pipeline were good (intraclass correlation coefficient >0.82, P < 0.0001). The consistency of sample categorizations as inadequate or adequate (TC ≤ 20% cut point) for molecular testing among the pathologists assessing TCs without AI support was moderate in TAs (κ = 0.410, P < 0.0001) and slight in WSIs (κ = 0.132, nonsignificant). With AI support, the consistency was substantial in both WSIs (κ = 0.602, P < 0.0001) and TAs (κ = 0.704, P < 0.0001). By visualizing cancer and measuring TC in the sample, this novel AI-based pipeline assists pathologists in selecting samples for molecular testing. © 2025 American Society for Investigative Pathology

关键词： artificial intelligence computational pathology immunohistochemical staining lung adenocarcinoma restained slides tumor burden tumor cellularity assessment

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An Improved Relay-based Identification Approach based on Asymmetric Oscillations

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IFAC-PapersOnLine 2018年第4期51卷 468-473页

作者： Sánchez, J. Guinado, M. Dormido, S. Visioli, A. Department of Computer Science and Automatic Control UNED Spain Department of Mechanical and Industrial Engineering University of Brescia Italy

A new identification procedure has been developed based on the information obtained from the oscillations that a non-linear element as a simple relay introduces in the feedback loop. Features of the method are: (1) the procedure does not demand a priori process information, (b) non-iterative algorithms are needed to derive the process parameters, (c) only one test is needed, and (d) it allows identifying the process at a user-specified phase lag in the third quadrant. © 2018

关键词： Iterative methods Describing functions Estimation Asymmetric oscillations Identification approach Identification procedure Limit cycle Non iterative algorithms oscillations Process information relay

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The Intelligent Systems of Skin Thickness in Measured by Optical Coherence Tomography

The Intelligent Systems of Skin Thickness in Measured by Opt...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Ardha Ardea Prisilla Mariya Nissar Gilang Titah Ramadhan Wei-Cheng Shen Hsu-Tang Cheng Ben-Yi Liau Yih-Kuen Jan Wen-Hung Chao Chih-Yang Lin Chi-Wen Lung Department of Digital Media Design Asia University Taichung Taiwan Department of Fashion Design LaSalle College Jakarta Jakarta Indonesia Department of Applied Science and Humanities Jamia Millia Islamia New Delhi India Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Creative Product Design Asia University Taichung Taiwan Division of Plastic Surgery Asia University Hospital Taichung Taiwan Department of Automatic Control Engineering Feng Chia Asia University Taichung Taiwan Department of Kinesiology and Community Health University of Illinois Urbana USA Department of Mechanical Engineering National Central University Taoyuan Taiwan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

This study investigates the intelligent systems to evaluate walking interventions on skin thickness using Optical Coherence Tomography (OCT). The walking durations of 10 and 20 min were conducted with participants wearing insoles providing 160 mmHg air pressure. Skin thickness in the stratum corneum (SC) and epidermis (ED) was measured at four-foot regions: the big toe (T1), first metatarsal (M1), second metatarsal (M2), and heel (HL). Results revealed a significant decrease in SC at HL after 20 min of walking. This finding suggests that prolonged walking with air-pressure insoles may reduce mechanical stress at HL and could contribute to preventing and managing diabetic foot ulcers.

关键词： Legged locomotion Optical coherence tomography Optical variables measurement Particle measurements Epidermis Intelligent systems Stress Thickness measurement Stress measurement Foot

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Environment-Driven Online LiDAR-Camera Extrinsic Calibration

arXiv

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arXiv 2025年

作者： Huang, Zhiwei Li, Jiaqi Zhong, Ping Fan, Rui The Department of Control Science & Engineering The College of Electronics & Information Engineering Tongji University Shanghai201804 China The School of Computer Science and Engineering Central South University Hunan Changsha410083 China The National Key Laboratory of Science and Technology on Automatic Target Recognition National University of Defense Technology Hunan Changsha410073 China The Department of Control Science & Engineering The College of Electronics & Information Engineering Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China The National Key Laboratory of Human-Machine Hybrid Augmented Intelligence Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Shaanxi Xi’an710049 China

LiDAR-camera extrinsic calibration (LCEC) is the core for data fusion in computer vision. Existing methods typically rely on customized calibration targets or fixed scene types, lacking the flexibility to handle variations in sensor data and environmental contexts. This paper introduces EdO-LCEC, the first environment-driven, online calibration approach that achieves human-like adaptability. Inspired by the human perceptual system, EdO-LCEC incorporates a generalizable scene discriminator to actively interpret environmental conditions, creating multiple virtual cameras that capture detailed spatial and textural information. To overcome cross-modal feature matching challenges between LiDAR and camera, we propose dual-path correspondence matching (DPCM), which leverages both structural and textural consistency to achieve reliable 3D-2D correspondences. Our approach formulates the calibration process as a spatial-temporal joint optimization problem, utilizing global constraints from multiple views and scenes to improve accuracy, particularly in sparse or partially overlapping sensor views. Extensive experiments on real-world datasets demonstrate that EdO-LCEC achieves state-of-the-art performance, providing reliable and precise calibration across diverse, challenging environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Spatio-temporal data

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Efficient allocation of distributed object-oriented tasks to a pre-defined scheduled system

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International Journal of computers and Applications 2006年第1期28卷 35-42页

作者： Fergany, T. Sarhan, Amany Computer Science Department New Heaven University New Heaven City CT United States Computers and Automatic Control Engineering Faculty of Engineering Tanta University Egypt University of New Haven Department of Computer Science Computers and Automatic Control Department Tanta University

key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper presents a solution to that problem by introducing a technique that guarantees efficient allocation of predefined scheduled object-oriented software components to the available hardware based on genetic algorithm. The allocation is to be made dynamically in a system with a predefined schedule. We thus modified the parameters of the genetic search technique to allow converging to the best solution in a relatively short time to be suitable for the dynamicity of the allocation. The performance of the allocation technique is evaluated in terms of the time cost (CPU clock pulses for more generality) required for the GA search to converge to the optimal allocation structure of the software components. The results obtained by the proposed technique are compared against the results from the branch-and-bound search technique. The experimental results indicate the effectiveness of the proposed technique in reaching the optimal allocation in considerable time, showing that it requires much less time than branch-and-bound.

关键词： Object oriented programming

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Low cost air invitation remote lab 4

Low cost air invitation remote lab

引用

4th Experiment at International Conference, exp.at 2017

作者： Sáenz, Jacobo Chacón, Jesús De La Torre, Luis Dormido, Sebastián Department of Computer Science and Automatic Control Computer Science School UNED Spain

ISBN: (纸本)9781538608104

Online experimentation have become a common resource in education since the virtual and remote labs (VRLs) allowed the users to interact with a system without been in a laboratory environment. The science and engineering areas needs to teach their student in experimental practices and this implies, in most cases, costly and complex systems. This work shows how new technologies allows a low cost online laboratory. © 2017 IEEE.

关键词： Cost engineering

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Indirect Method for Calibrating Quadrotor Sensors: A Case Study applied to the Crazyflie 2.X 1

Indirect Method for Calibrating Quadrotor Sensors: A Case St...

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1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

作者： Socas, Rafael Dormido, Raquel Guinaldo, Maria Manas-Alvarez, Francisco Jose Dormido, Sebastian Department of Computer Science and Automatic Control Madrid Spain

ISBN: (数字)9781665443579

ISBN: (纸本)9781665443579

In this work, a novel algorithm for sensors calibration in quadrotor is presented. Classical procedures are used to calibrate some variables but for the others, the angular speeds, an indirect method has been proposed. The algorithm has been applied to the quadrotor Crazyflie 2.X in a practical way. The proposed method has been described in detail and it can be applied in other kind of quadrotors in a simple way. Some experiments in a real environment have been performed to validate the solution. This work is part of a framework for quadrotor control engineering that improves the global performance of the system. © 2022 IEEE.

关键词： Calibration

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