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Applied AI Letters 2021年第3期2卷

作者： Ejay Nsugbe Ibrahim Sanusi Nsugbe Research Labs Swindon UK Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK

The ability to predict the onset of labour is seen to be an important tool in a clinical setting. Magnetomyography has shown promise in the area of labour imminency prediction, but its clinical application remains limited due to high resource consumption associated with its broad number of channels. In this study, five electrode channels, which account for 3.3% of the total, are used alongside a novel signal decomposition algorithm and low complexity classifiers (logistic regression and linear-SVM) to classify between labour imminency due within 0 to 48 hours and >48 hours. The results suggest that the parsimonious representation comprising of five electrode channels and novel signal decomposition method alongside the candidate classifiers could allow for greater affordability and hence clinical viability of the magnetomyography-based prediction model, which carries a good degree of model interpretability. The results showed around a 20% increase on average for the novel decomposition method, alongside a reduced group of features across the various classification metrics considered for both the logistic regression and support vector machine.

关键词： cybernetics kernel methods logistic regression obstetrics optimisation preterm signal decomposition

Modeling and Analysis of a Coupled SIS Bi-Virus Model

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arXiv 2022年

作者： Gracy, Sebin Paré, Philip E. Liu, Ji Sandberg, Henrik Beck, Carolyn L. Johansson, Karl Henrik Başar, Tamer Department of Electrical Engineering and Computer Science South Dakota School of Mines and Technology SD United States School of Electrical and Computer Engineering Purdue University IN United States Department of Electrical and Computer Engineering Stony Brook University United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology and Digital Futures Stockholm Sweden Coordinated Science Laboratory University of Illinois at Urbana-Champaign United States

The paper deals with the setting where two viruses (say virus 1 and virus 2) coexist in a population, and they are not necessarily mutually exclusive, in the sense that infection due to one virus does not preclude the possibility of simultaneous infection due to the other. We develop a coupled bi-virus susceptible-infected-susceptible (SIS) model from a 4n-state Markov process, where n is the number of agents (i.e., individuals or subpopulation) in the population. We identify a sufficient condition for both viruses to eventually die out, and a sufficient condition for the existence, uniqueness and asymptotic stability of the endemic equilibrium of each virus. We establish a sufficient condition and multiple necessary conditions for local exponential convergence to the boundary equilibrium (i.e., one virus persists, the other one dies out) of each virus. Under mild assumptions on the healing rate, we show that there cannot exist a coexisting equilibrium where for each node there is a nonzero fraction infected only by virus 1;a nonzero fraction infected only by virus 2;but no fraction that is infected by both viruses 1 and 2. Likewise, assuming that healing rates are strictly positive, a coexisting equilibrium where for each node there is a nonzero fraction infected by both viruses 1 and 2, but no fraction is infected only by virus 1 (resp. virus 2) does not exist. Further, we provide a necessary condition for the existence of certain other kinds of coexisting equilibria. We show that, unlike the competitive bivirus model, the coupled bivirus model is not monotone. Finally, we illustrate our theoretical findings using an extensive set of simulations. © 2022, CC0.

关键词： Coronavirus

The design concept of digital twin 12

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The design concept of digital twin

12th International Conference "Management of Large-Scale System Development", MLSD 2019

作者： Makarov, V.V. Frolov, Ye.B. Parshina, I.S. Ushakova, M.V. Institute of Control Sciences Russian Academy of Sciences Laboratory of Identification of Control Systems Moscow Russia Moscow State University of Technology «sTANKIN» Department of Information Technologies and Computer Systems Moscow Russia National University of Science and Technology «mISIS» Department of Business Informatics and Production Management Moscow Russia

ISBN: (纸本)9781728117300

According to the article, the modeling process of every digital twin can be divided into three stages: the development of SysML (The systems Modeling Language) diagrams, the use of AnyLogic as a tool for simulation modeling, and the use of MES (Manufacturing Execution System) for communication with production systems. Also, it is suggested to evaluate the efficiency of a digital production process using two numerical indicators: the OEE (Overall Equipment Effectiveness) coefficient, the MCE (Manufacturing Cycle Effectiveness) coefficient. © 2019 IEEE.

关键词： Industry 4.0

Disturbance Attenuation via Nonlinear Feedback for Chemical Reaction Networks

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IFAC-PapersOnLine 2020年第2期53卷 11497-11502页

作者： Lőrinc Márton Katalin M. Hangos Gábor Szederkényi Department of Electrical Engineering Sapientia Hungarian University of Transylvania Tirgu Mures Romania Systems and Control Laboratory Institute for Computer Science and Control Budapest Hungary Faculty of Information Technology and Bionics Pázmány Péter Catholic University Budapest Hungary Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary

This paper deals with the setpoint control of Chemical Reaction Networks (CRNs) in the presence of disturbances. The addressed control problem is traced back to the output feedback-based stabilization of passive systems. First, the passivity properties of complex balanced CRNs are discussed. Second, it is shown that, by combining the kinetic feedback based control with the passivity theory-based output feedback approach, arbitrary disturbance attenuation in controlled CRNs can be achieved. A case study is provided to demonstrate the applicability of the proposed control design approach.

关键词： Chemical Reaction Networks Passivity Setpoint control Disturbance Attenuation

Observability Analysis of Graph SLAM-Based Joint Calibration of Multiple Microphone Arrays and Sound Source Localization

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arXiv 2022年

作者： He, Yuanzheng Wang, Jiang Su, Daobilige Nakadai, Kazuhiro Wu, Junfeng Huang, Shoudong Li, Youfu Kong, He Shenzhen518055 China The Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities SUSTech Shenzhen518055 China College of Engineering China Agricultural University Beijing China The Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan The School of Data Science The Chinese University of Hong Kong Shenzhen Shenzhen China The Robotics Institute University of Technology Sydney Sydney Australia The Department of Mechanical Engineering City University of Hong Kong Hong Kong

Multiple microphone arrays have many applications in robot audition, including sound source localization, audio scene perception and analysis, etc. However, accurate calibration of multiple microphone arrays remains a challenge because there are many unknown parameters to be identified, including the Euler angles, geometry, asynchronous factors between the microphone arrays. This paper is concerned with joint calibration of multiple microphone arrays and sound source localization using graph simultaneous localization and mapping (SLAM). By using a Fisher information matrix (FIM) approach, we focus on the observability analysis of the graph SLAM framework for the above-mentioned calibration problem. We thoroughly investigate the identifiability of the unknown parameters, including the Euler angles, geometry, asynchronous effects between the microphone arrays, and the sound source locations. We establish necessary/sufficient conditions under which the FIM and the Jacobian matrix have full column rank, which implies the identifiability of the unknown parameters. These conditions are closely related to the variation in the motion of the sound source and the configuration of microphone arrays, and have intuitive and physical interpretations. We also discover several scenarios where the unknown parameters are not uniquely identifiable. All theoretical findings are demonstrated using simulation data. © 2022, CC BY.

关键词： Microphone array

Constraint Selection in Optimization-Based controllers

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arXiv 2025年

作者： Lee, Haejoon Rousseas, Panagiotis Panagou, Dimitra Department of Robotics University of Michigan Ann ArborMI United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Aerospace Engineering University of Michigan Ann ArborMI United States

Human-machine collaboration often involves constrained optimization problems for decision-making processes. However, when the machine is a dynamical system with a continuously evolving state, infeasibility due to multiple conflicting constraints can lead to dangerous outcomes. In this work, we propose a heuristic-based method that resolves infeasibility at every time step by selectively disregarding a subset of soft constraints based on the past values of the Lagrange multipliers. Compared to existing approaches, our method requires the solution of a smaller optimization problem to determine feasibility, resulting in significantly faster computation. Through a series of simulations, we demonstrate that our algorithm achieves performance comparable to state-of-the-art methods while offering improved computational efficiency. © 2025, CC BY.

关键词： Lagrange multipliers

Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry

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arXiv 2024年

作者： Zhang, Yijie Huang, Luzhe Pillar, Nir Li, Yuzhu Migas, Lukasz G. Van de Plas, Raf Spraggins, Jeffrey M. Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States Mass Spectrometry Research Center Vanderbilt University NashvilleTN37232 United States Delft Center for Systems and Control Delft University of Technology Delft2628 Netherlands Department of Cell and Developmental Biology Vanderbilt University NashvilleTN37232 United States Department of Chemistry Vanderbilt University NashvilleTN37232 United States Department of Biochemistry Vanderbilt University NashvilleTN37232 United States Department of Pathology Microbiology and Immunology Vanderbilt University Medical Center NashvilleTN37232 United States Department of Surgery University of California Los AngelesCA90095 United States

Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with unparalleled chemical specificity and sensitivity. However, most IMS platforms are not able to achieve microscopy-level spatial resolution and lack cellular morphological contrast, necessitating subsequent histochemical staining, microscopic imaging and advanced image registration steps to enable molecular distributions to be linked to specific tissue features and cell types. Here, we present a virtual histological staining approach that enhances spatial resolution and digitally introduces cellular morphological contrast into mass spectrometry images of label-free human tissue using a diffusion model. Blind testing on human kidney tissue demonstrated that the virtually stained images of label-free samples closely match their histochemically stained counterparts (with Periodic Acid-Schiff staining), showing high concordance in identifying key renal pathology structures despite utilizing IMS data with 10-fold larger pixel size. Additionally, our approach employs an optimized noise sampling technique during the diffusion model’s inference process to reduce variance in the generated images, yielding reliable and repeatable virtual staining. We believe this virtual staining method will significantly expand the applicability of IMS in life sciences and open new avenues for mass spectrometry-based biomedical research. Copyright © 2024, The Authors. All rights reserved.

关键词： Tissue

Optimization of periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators

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arXiv 2021年

作者： Kato, Yuzuru Zlotnik, Anatoly Li, Jr-Shin Nakao, Hiroya Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8552 Japan Applied Mathematics and Plasma Physics Los Alamos National Laboratory Los AlamosNM87545 United States Department of Electrical and Systems Engineering Washington University in St. Louis St. LouisMO63130 United States

We propose a general method for optimizing periodic input waveforms for global entrainment of weakly forced limit-cycle oscillators based on phase reduction and nonlinear programming. We derive averaged phase dynamics from the mathematical model of a limit-cycle oscillator driven by a weak periodic input and optimize the Fourier coefficients of the input waveform to maximize prescribed objective functions. In contrast to the optimization methods that rely on the calculus of variations, the proposed method can be applied to a wider class of optimization problems including global entrainment objectives. As an illustration, we consider two optimization problems, one for achieving fast global convergence of the oscillator to the entrained state and the other for realizing prescribed global phase distributions in a population of identical uncoupled noisy oscillators. We show that the proposed method can successfully yield optimal input waveforms to realize the desired states in both cases. Copyright © 2021, The Authors. All rights reserved.

关键词： Nonlinear programming

Assessing quality of decision reducts

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Procedia Computer Science 2020年 176卷 3273-3282页

作者： Urszula Stańczyk Beata Zielosko Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A 44-100 Gliwice Poland Institute of Computer Science University of Silesia in Katowice Bȩdzińska 39 41-200 Sosnowiec Poland

The paper presents research focused on decision reducts, a feature reduction mechanism inherent to rough sets theory. As a reduct enables to protect the discriminative properties of attributes with respect to described concepts, from the point of data representation, a reduct length is considered to be the most important measure of its quality. However, such approach is insufficient while taking into account the performance of a reduct-based rule classifier applied to test samples. When many reducts of the same length are available, they can lead to vastly different predictions. The paper provides a description for the proposed procedure for iterative reduct generation, which results in decrease of diversity in the observed levels of accuracy, supporting reduct selection. The procedure was applied for binary classification with balanced classes, for the stylometric task of authorship attribution.

关键词： reduct rough sets decision rules classification stylometry feature reduction

Competitive transport of heavy metals in soil: Cadmium dynamics with numerical modeling

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Journal of Hazardous Materials 2025年 495卷

作者： Yiren Li Jiawen Zhang Yuke Lv Gina Garland Jianming Xu Xingmei Liu State Key Laboratory of Soil Pollution Control and Safety Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment College of Environmental and Resource Sciences Zhejiang University Hangzhou 310058 China Engineering Technology Center for Pollution Prevention and Control of Taizhou Taizhou University Jiaojiang Zhejiang Province 318000 China Department of Environmental Systems Science ETH Zürich Zurich 8092 Switzerland

Transport of composite heavy metals in the soil profile is a complex process that poses significant risks to groundwater and deep soil layer. This study conducts an in-depth simulation and analysis of Cd transport behavior in single and composite contamination through soil penetrate tests and leaching tests, combined with the HYDRUS and CXTFIT models. The study found that Pb significantly promoted the transport rate of Cd in the soil profile, reducing the initial breakthrough time from 12 to 5 pore volumes (PV). During leaching, the presence of Pb increased the Cd concentration in the pore water by 70.2 %, further enhancing Cd's transport potential and groundwater contamination risk. The study further validated the applicability of the HYDRUS model, finding that Pb promotes the proportion of the instantaneous equilibrium site ( f ) and the first-order reaction rate coefficient ( α ) of Cd. An increase in the instantaneous adsorption ratio of heavy metals accelerates the adsorption process from the kinetic control phase. By incorporating competitive adsorption isotherms and heavy metal speciation into the HYDRUS prediction model, the model achieved a high prediction accuracy ( R 2 = 0.84) for heavy metal transport pathways in polluted sites, providing a reliable tool for the long-term evolution prediction of polluted sites.

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