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arXiv 2020年

作者： Belkacem, Abdelkader Nasreddine Ouhbi, Sofia Lakas, Abderrahmane Benkhelifa, Elhadj Chen, Chao Department of Computer and Network Engineering CIT UAEU UAE Department of Computer Science and Software Engineering CIT UAEU UAE Cloud Computing and Applications Reseach Lab Staffordshire University United Kingdom Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology China

Respiratory symptoms can be a caused by different underlying conditions, and are often caused by viral infections, such as Influenza-like illnesses or other emerging viruses like the Coronavirus. These respiratory viruses, often, have common symptoms, including coughing, high temperature, congested nose, and difficulty breathing. However, early diagnosis of the type of the virus, can be crucial, especially in cases such as the recent COVID-19 pandemic. One of the factors that contributed to the spread of the pandemic, was the late diagnosis or confusing it with regular flu-like symptoms. science has proved that one of the possible differentiators of the underlying causes of these different respiratory diseases is coughing, which comes in different types and forms. Therefore, a reliable lab-free tool for early and more accurate diagnosis that can differentiate between different respiratory diseases is very much needed. This paper proposes an end-to-end portable system that can record data from patients with symptom, including coughs (voluntary or involuntary) and translate them into health data for diagnosis, and with the aid of machine learning, classify them into different respiratory illnesses, including COVID-19. With the ongoing efforts to stop the spread of the COVID-19 disease everywhere today, and against similar diseases in the future, our proposed low cost and user-friendly solution can play an important part in the early diagnosis. Copyright © 2020, The Authors. All rights reserved.

关键词： Diagnosis

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Correction to: Global existence and stability of Nicholson blowflies model with harvesting and random effect

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Nonlinear Dynamics 2022年第4期108卷 4629-4629页

作者： Abbas, Syed Niezabitowski, Michal Grace, Said R. School of Basic Sciences Indian Institute of Technology Mandi Mandi India Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Engineering Mathematics Faculty of Engineering Cairo University Giza Egypt

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Gradient catastrophe of nonlinear photonic valley-Hall edge pulses

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Physical Review Research 2021年第4期3卷 043027-043027页

作者： Daria A. Smirnova Lev A. Smirnov Ekaterina O. Smolina Dimitris G. Angelakis Daniel Leykam Nonlinear Physics Centre Australian National University Canberra ACT 2601 Australia Institute of Applied Physics Russian Academy of Science Nizhny Novgorod 603950 Russia Department of Control Theory Nizhny Novgorod State University Gagarin Av. 23 Nizhny Novgorod 603950 Russia Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 Singapore 117543 School of Electrical and Computer Engineering Technical University of Crete Chania Greece 73100

We derive nonlinear wave equations describing the propagation of slowly varying wave packets formed by topological valley-Hall edge states. We show that edge pulses break up even in the absence of spatial dispersion due to nonlinear self-steepening. Self-steepening leads to the previously unattended effect of a gradient catastrophe, which develops in a finite time determined by the ratio between the pulse's nonlinear frequency shift and the size of the topological band gap. Taking the weak spatial dispersion into account results in the formation of stable edge quasisolitons. Our findings are generic to systems governed by Dirac-like Hamiltonians and validated by numerical modeling of pulse propagation along a valley-Hall domain wall in staggered honeycomb waveguide lattices with Kerr nonlinearity.

关键词： Nonlinear optics Photorefractive & Kerr effects Topological effects in photonic systems Waveguide arrays

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Modified switched IMM estimator based on autoregressive extended Viterbi method for maneuvering target tracking

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Journal of Systems engineering and Electronics 2018年第6期29卷 1142-1157页

作者： HADAEGH Mahmoudreza KHALOOZADEH Hamid Department of Electrical & Computer Engineering Science and Research Branch Islamic Azad University Department of Systems and Control K.N.Toosi University of Technology

In this paper, a new approach of maneuvering target tracking algorithm based on the autoregressive extended Viterbi(AREV) model is proposed. In contrast to weakness of traditional constant velocity(CV) and constant acceleration(CA) models to noise effect reduction, the autoregressive(AR) part of the new model which changes the structure of state space equations is proposed. Also using a dynamic form of the state transition matrix leads to improving the rate of convergence and decreasing the noise effects. Since AR will impose the load of overmodeling to the computations, the extended Viterbi(EV) method is incorporated to AR in two cases of EV1 and EV2. According to most probable paths in the interacting multiple model(IMM) during nonmaneuvering and maneuvering parts of estimation, EV1 and EV2 respectively can decrease load of overmodeling computations and improve the AR performance. This new method is coupled with proposed detection schemes for maneuver occurrence and termination as well as for switching initializations. Appropriate design parameter values are derived for the detection schemes of maneuver occurrences and terminations. Finally, simulations demonstrate that the performance of the proposed model is better than the other older linear and also nonlinear algorithms in constant velocity motions and also in various types of maneuvers.

关键词： interacting multiple model(IMM) filter constant acceleration(CA) autoregressive(AR) extended Viterbi(EV) autoregressive extended Viterbi(AREV) extended Kalman filter(EKF)

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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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Investigation of the hyperchaos and control in the fractional order financial system with profit margin

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Partial Differential Equations in Applied Mathematics 2024年 9卷

作者： Johansyah, Muhamad Deni Sambas, Aceng Qureshi, Sania Zheng, Song Abed-Elhameed, Tarek M. Vaidyanathan, Sundarapandian Sulaiman, Ibrahim Mohammed Department of Mathematics Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Campus Besut Terengganu 22200 Malaysia Department of Mechanical Engineering Universitas Muhammadiyah Tasikmalaya Tamansari Gobras Tasikmalaya 46196 Indonesia Department of Computer Science and Mathematics Lebanese American University Beirut 13-5053 Lebanon Department of Mathematics Near East University Mersin 99138 Turkey Department of Basic Sciences and Related Studies Mehran University of Engineering and Technology Jamshoro 72060 Pakistan School of Data Science Zhejiang University of Finance and Economics Hangzhou 310018 China Institute of Mathematics and Interdisciplinary Sciences Zhejiang University of Finance and Economics 310018 China Department of Mathematics Faculty of Science Assiut University Assiut 71516 Egypt Centre for Control Systems Vel Tech University Avadi Tamil Nadu Chennai 600062 India Institute of Strategic Industrial Decision Modelling School of Quantitative Sciences Universiti Utara Malaysia Sintok Bukit Kayu Hitam Kedah 06010 Malaysia Faculty of Education and Arts Sohar University Sohar 311 Oman

This research study proposes a novel hyperchaotic finance system with profit margin and then utilizes the Adomian Decomposition Method (ADM) to tackle the solution of the associated Caputo-derivative based fractional-order hyperchaotic finance system with profit margin. Numerical simulations and analyses, such as the evaluation of Lyapunov exponents (LE), the creation of bifurcation diagrams (BD), the complexity analysis (CA), and the 0-1 test, are used to get a full picture of the system. The results of our study demonstrate the occurrence of periodic, chaotic, and hyperchaotic dynamics in the system. Furthermore, the overall criteria for the existence and the uniqueness of the exact solutions for Caputo fractional-order models are presented. In addition, we present a control methodology for the fractional-order hyperchaotic financial system utilizing the Laplace transform and linear feedback control. Significantly, our research showcases a noteworthy correlation between the analytical results and numerical simulations, emphasizing the soundness and effectiveness of our methodology. © 2024 The Author(s)

关键词： Chaotic system Financial system Fractional order Hyperchaos

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Decentralized PID control with inverted decoupling and superheating reference generation for efficient operation: Application to the Benchmark PID 2018

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IFAC-PapersOnLine 2018年第4期51卷 710-715页

作者： Garrido, J. Lara, M. Ruz, M.L. Vázquez, F. Alfaya, J.A. Morilla, F. Computer Science and Numerical Analysis Department University of Cordoba Cordoba14071 Spain Systems Engineering and Automatic Control Department University of Sevilla Sevilla41092 Spain Computer Science and Automatic Control Department UNED Madrid Spain

This paper deals with the control problem of a refrigeration vapor compression system proposed as a benchmark for the IFAC Conference on Advances in PID controllers (PID'18). This refrigeration system is a multivariable nonlinear process that shows interactions and is subjected to input constraints. In this work, a decentralized PID control with inverted decoupling is proposed as control structure. The inverted decoupling is designed from an approximated multivariable linear model. Then, the PID controllers are tuned by genetic algorithms to minimize a performance index. In addition, a superheat reference generation is developed to achieve stationary operation points with maximum coefficient of performance which is a widespread efficiency measurement in these systems. Simulations considered in the benchmark show that the proposed design achieves better performance than the reference case. © 2018

关键词： Three term control systems Benchmarking controllers Electric control equipment Genetic algorithms Proportional control systems Vapor compression refrigeration Coefficient of Performance Decentralized PID control Decoupling controls Efficiency measurement Optimal operation Stationary operations Vapor compression refrigeration cycle Vapor compression systems

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Mind the Performance Gap: Examining Dataset Shift During Prospective Validation 6

Mind the Performance Gap: Examining Dataset Shift During Pro...

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6th Machine Learning for Healthcare Conference, MLHC 2021

作者： Ötleş, Erkin Oh, Jeeheh Li, Benjamin Bochinski, Michelle Joo, Hyeon Ortwine, Justin Shenoy, Erica Washer, Laraine Young, Vincent B. Rao, Krishna Wiens, Jenna Department of Industrial & Operations Engineering University of Michigan United States Medical Scientist Training Program University of Michigan Medical School United States Division of Computer Science & Engineering University of Michigan United States Nursing Informatics Michigan Medicine United States Department of Anesthesiology University of Michigan Medical School United States Department of Learning Health Sciences University of Michigan Medical School United States Infection Control Unit Division of Infectious Diseases Massachusetts General Hospital Harvard Medical School United States Department of Internal Medicine Division of Infectious Diseases University of Michigan Medical School United States Department of Microbiology & Immunology University of Michigan Medical School United States

Once integrated into clinical care, patient risk stratification models may perform worse compared to their retrospective performance. To date, it is widely accepted that performance will degrade over time due to changes in care processes and patient populations. However, the extent to which this occurs is poorly understood, in part because few researchers report prospective validation performance. In this study, we compare the 2020-2021 (’20-’21) prospective performance of a patient risk stratification model for predicting healthcare-associated infections to a 2019-2020 (’19-’20) retrospective validation of the same model. We define the difference in retrospective and prospective performance as the performance gap. We estimate how i) "temporal shift", i.e., changes in clinical workflows and patient populations, and ii) "infrastructure shift", i.e., changes in access, extraction and transformation of data, both contribute to the performance gap. Applied prospectively to 26,864 hospital encounters during a twelve-month period from July 2020 to June 2021, the model achieved an area under the receiver operating characteristic curve (AUROC) of 0.767 (95% confidence interval (CI): 0.737, 0.801) and a Brier score of 0.189 (95% CI: 0.186, 0.191). Prospective performance decreased slightly compared to’19-’20 retrospective performance, in which the model achieved an AUROC of 0.778 (95% CI: 0.744, 0.815) and a Brier score of 0.163 (95% CI: 0.161, 0.165). The resulting performance gap was primarily due to infrastructure shift and not temporal shift. So long as we continue to develop and validate models using data stored in large research data warehouses, we must consider differences in how and when data are accessed, measure how these differences may negatively affect prospective performance, and work to mitigate those differences. © 2021 E. Ötleş & J. Oh et al.

关键词： Data warehouses

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SOC estimation based on data driven exteaded Kalman filter algorithm for power battery of electric vehicle and plug-in electric vehicle

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Journal of Central South University 2019年第6期26卷 1402-1415页

作者： LIU Fang MA Jie SU Wei-xing CHEN Han-ning TIAN Hui-xin LI Chun-qing School of Computer Science & Technology Tianjin Polytechnic UniversityTianjin 300387China Tianjin Qingyuan Electric Vehicle Limited Liability Company Tianjin 300457China Control Theory and Control Engineering Tianjin UniversityTianjin 300350China

State of charge(SOC)estimation has always been a hot topic in the field of both power battery and new energy vehicle(electric vehicle(EV),plug-in electric vehicle(PHEV)and so on).In this work,aiming at the contradiction problem between the exact requirements of EKF(extended Kalman filter)algorithm for the battery model and the dynamic requirements of battery mode in life cycle or a charge and discharge period,a completely data-driven SOC estimation algorithm based on EKF algorithm is *** innovation of this algorithm lies in that the EKF algorithm is used to get the SOC accurate estimate of the power battery online with using the observable voltage and current data information of the power battery and without knowing the internal parameter variation of the power *** the combination of data-based and model-based SOC estimation method,the new method can avoid high accumulated error of traditional data-driven SOC algorithms and high dependence on battery model of most of the existing model-based SOC estimation methods,and is more suitable for the life cycle SOC estimation of the power battery operating in a complex and ever-changing environment(such as in an EV or PHEV).A series of simulation experiments illustrate better robustness and practicability of the proposed algorithm.

关键词： state of charge extended Kalman filter autoregressive model power battery

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Notice of Retraction: Integrated Double Estimator Architecture for Reinforcement Learning

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IEEE Transactions on Cybernetics 2020年第5期52卷 1-12页

作者： Pingli Lv Xuesong Wang Yuhu Cheng Ziming Duan C. L. Philip Chen Engineering Research Center of Intelligent Control for Underground Space China University of Mining and Technology Xuzhou China School of Information and Electronics Engineering Jiangsu Vocational Institute of Architectural Technology Xuzhou China Faculty of Science and Technology the University of Macau Macau SAR 99999 China. He is now with the School of Computer Science and Engineering South China University of Technology Guangzhou 510006 China.

Retracted.

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