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Investigation of the diagnostic properties of sensors and features in a multiphase flow facility case study ⁎

IFAC-PapersOnLine 2019年第1期52卷 772-777页

作者： Anna Stief James R. Ottewill Jerzy Baranowski ABB Corporate Research Center ul. Starowislna 13a 31-038 Krakow Poland Department of Automatic Control and Robotics Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Al. A. Mickiewicza 30 30-059 Krakow Poland

Feature design and selection is one of the first steps towards successful fault detection and diagnosis. Data from different sources can contain complimentary information about a monitored system. Hence methods which fuse features from multiple sources can often detect and diagnose a greater number of fault modes with higher confidence. However, solutions that require data from multiple sensors as inputs can be susceptible to failure if one or more of those sensors cease to function. Optimally a solution will fuse data from a sufficient number of sensors so that the advantages of sensor fusion are realized, while the robustness of the system is retained. In this paper the authors investigate how the best subset of features might differ for fault detection and fault severity diagnosis in a multiphase flow facility case study. ReliefF, which is a K-nearest neighbors-based feature selection filter, is used to rank the features for different problems. The dataset used for the analysis contains data from various operating conditions and induced faults with various severities. It was found that the optimal subset of features varied for different monitoring problems. It was also shown that including features that are ranked as being uninformative into a fault classifier can also impact the robustness of the classifier to sensor failures.

关键词： Signal processing Feature extraction Feature selection Process monitoring

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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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Privacy of Real-Time Pricing in Smart Grid

Privacy of Real-Time Pricing in Smart Grid

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IEEE Annual Conference on Decision and control

作者： Mahrokh GhoddousiBoroujeni Dominik Fay Christos Dimitrakakis Maryam Kamgarpour Department of Electrical Engineering Sharif University of Technology Iran EECS school KTH Royal Institute of Technology Sweden Computer Science and Engineering faculty Chalmers University of Technology Sweden Automatic Control Laboratory ETH Zurich Switzerland

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Installing smart meters to publish real-time electricity rates has been controversial while it might lead to privacy concerns. Dispatched rates include fine-grained data on aggregate electricity consumption in a zone and could potentially be used to infer a household's pattern of energy use or its occupancy. In this paper, we propose Blowfish privacy to protect the occupancy state of the houses connected to a smart grid. First, we introduce a Markov model of the relationship between electricity rate and electricity consumption. Next, we develop an algorithm that perturbs electricity rates before publishing them to ensure users' privacy. Last, the proposed algorithm is tested on data inspired by household occupancy models and its performance is compared to an alternative solution.

关键词： Hidden Markov models Privacy Data models Real-time systems Data privacy Pricing Smart grids

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Image Processing Techniques to Identify Red Blood Cells

Image Processing Techniques to Identify Red Blood Cells

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Nicoleta Safca Dan Popescu Loretta Ichim Hassan Elkhatib Oana Chenaru Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Bucharest Romania Faculty of Automatic Control and Computer Science UPB “St. S. Nicolau” Institute of Virology Bucharest Romania

This paper presents a method for the automatic identification and classification of red cells in different classes of interest for diagnosis using microscopic images of blood smear. The whole system uses different image processing techniques such as binarization, contrast enhancement, noise elimination, morphological operations (dilatation, erosion), labeling and extraction of some features of interest (area, perimeter, diameter). Using this information, some factors (form factor, circularity factor, and deviation factor) involved in the classification of red cells are calculated. The classification process has two phases: the first separates red cells in normal and abnormal type and the second classifies the abnormal in three subclasses. This system does not aim to replace the pathologist, but to assist him / her and to improve the execution time of these types of analyzes.

关键词： Cells (biology) Shape Feature extraction Diseases Red blood cells Microscopy

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Design of the electromagnetic mill and the air stream ratio model.

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IFAC-PapersOnLine 2017年第1期50卷 14964-14969页

作者： Wolosiewicz-Glb, M. Foszcz, D. Ogonowski, Sz. AGH University of Science and Technology Faculty of Mining and Geoengineering Department of Environmental Engineering and Mineral Processing Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Poland

Complex mineral raw materials processing is an essential operation in modern industry. Innovative technologies help in constant improving of the efficiency and performance. The paper presents a design of electromagnetic mill, its technological structure and control system. In comparison to conventional solutions, the electromagnetic mill is a fully automated system. It operates in more effective way. The proper selection of the physical and process parameters of the system is crucial for efficiency of the process. The device stands out because of its low energy consumption. The air stream ratio model has been presented for the dry grinding and classification unit with the electromagnetic mill. The concept of the grinding system is described along with indirect measurement methodology. Supervisory control algorithm based on the model structure is derived. © 2017

关键词： Structural design Algorithms Automation control systems Energy utilization Grinding (machining) Mineral industry Air streams Efficiency and performance electromagnetic mill Grinding media Indirect measurements Innovative technology Low energy consumption Technological structures

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IDF2022-1183 The effect of multi-strain probiotics on diarrhea in patients with type 2 diabetes and metformin intolerance

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Diabetes Research and Clinical Practice 2023年 197卷 110340-110340页

作者： Nabrdalik, K. Drożdż, K. Kwiendacz, H. Skonieczna-Żydecka, K. Łoniewski, I. Kaczmarczyk, M. Nalepa, J. Holleman, F. Nieuwdorp, M. Gumprecht, J. Medical University of Silesia in Katowice Faculty of Medical Sciences in Zabrze Department of Internal Medicine Diabetology and Nephrology Zabrze Poland Pomeranian Medical University in Szczecin Department of Human Nutrition and Metabolomics Szczecin Poland Pomeranian Medical University in Szczecin Department of Biochemical Sciences Szczecin Poland Pomeranian Medical University in Szczecin Department of Clinical and Molecular Biochemistry Szczecin Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Gliwice Poland Universiteit van Amsterdam- Amsterdam UMC Department of Internal Medicine Amsterdam The Netherlands Universiteit van Amsterdam Amsterdam UMC Department of Internal Medicine Section Vascular Medicine Amsterdam The Netherlands

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A note on the stability analysis of a class of nonlinear systems - AN LMI approach

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2018年第4期80卷 3-10页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

The main goal of the paper is to study the equilibria of a nonlinear system, proving the existence and uniqueness of an equilibrium point in the positive ortant. We also provide numerically tractable conditions (by using Linear Matrix Inequalities techniques) to check the asymptotic stability of the equilibrium point. An illustrative numerical example is closing the paper along with some conclusions. © 2018, Politechnica University of Bucharest. All rights reserved.

关键词： Nonlinear systems

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Improving Quality of Multimedia Transmissions via Dropping Functions

Improving Quality of Multimedia Transmissions via Dropping F...

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International Multidisciplinary Conference on computer and Energy science (SpliTech)

作者： Andrzej Chydzinski Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

ISBN: (纸本)9781538662960

Packet loss is one of the main reasons of deterioration of real-time multimedia transmissions in today's Internet. This deterioration is especially severe, when several losses occur in a row, one after another. In this paper, it is shown how an application of the active queue management, based on the dropping function, may prevent losses from grouping together. A realistic model for the TCP traffic, incorporating the batch arrivals, is used, with several different shapes of dropping functions.

关键词： Computational modeling Internet Packet loss Protocols Standards Propagation losses

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Author Correction: FQSqueezer: k-mer-based compression of sequencing data

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Scientific reports 2020年第1期10卷 3460页

作者： Sebastian Deorowicz Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 44-100 Gliwice Poland. sebastian.deorowicz@polsl.pl.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Identifying Features Determining Mouse Behavior in Forced Swim Test

Identifying Features Determining Mouse Behavior in Forced Sw...

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International Conference on Methods and Models in Automation and Robotics

作者： Tomasz Grzejszczak Adrian Olczyk Adam Galuszka Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

This paper presents the part of automation process of Forced Swim Test (FST). In the test a mouse behavior should be determined. In the automated process the mouse behavior is usually estimated with use of computer vision. Image processing algorithms are used to determine features that can determine mouse behavior. In this paper a common features are identified from a literature search. Those methods are presented and validated whether they can be used to create a classifier. The mouse position, speed and the sum of different pixels are compared to test outcome.

关键词： Forced Swim Test FST Porsolt Test computer Vision Image Processing Behavior estimation Animal detection

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