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Emergence of the First Strains of SARS-CoV-2 Lineage B.1.1.7 in Romania: Genomic Analysis

JMIRx med 2021年第3期2卷 e28049页

作者： Andrei Lobiuc Mihai Dimian Olga Sturdza Roxana Filip Mihai Covasa Department of Human Health and Development College of Physical Exercise and Sport Stefan cel Mare University of Suceava Suceava Romania. Department of Computers Electronics and Automation College of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania. Integrated Center for Research Development and Innovation in Advanced Materials Nanotechnologies and Distributed Systems for Fabrication and Control Stefan cel Mare University of Suceava Suceava Romania. Suceava County Emergency Hospital Suceava Romania.

BACKGROUND:The United Kingdom reported the emergence of a new and highly transmissible SARS-CoV-2 variant (B.1.1.7) that rapidly spread to other countries. The impact of this new mutation-which occurs in the S protein-on infectivity, virulence, and current vaccine effectiveness is still under evaluation. OBJECTIVE:The aim of this study is to sequence SARS-CoV-2 samples of cases in Romania to detect the B.1.1.7 variant and compare these samples with sequences submitted to GISAID. METHODS:SARS-CoV-2 samples were sequenced and amino acid substitution analysis was performed using the CoV-GLUE platform. RESULTS:We have identified the first cases of the B.1.1.7 variant in samples collected from Romanian patients, of which one was traced to the region of the United Kingdom where the new variant was originally sequenced. Mutations in nonstructural protein 3 (Nsp3; N844S and D455N) and ORF3a (L15F) were also detected, indicating common ancestry with UK strains as well as remote connections with strains from Nagasaki, Japan. CONCLUSIONS:These results indicate, for the first time, the presence and characteristics of the new variant B.1.1.7 in Romania and underscore the need for increased genomic sequencing in patients with confirmed COVID-19.

关键词： COVID-19 Romania case study epidemiology genetics genome impact infectious disease lineage mutation sequencing spread strain transmission variant virology virus

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Robust Iterative Learning control for Alloy Batch Weighing Process in Refining Furnace 36

Robust Iterative Learning Control for Alloy Batch Weighing P...

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第36届中国控制会议

作者： Yibo Huang Jianqi An Yong He Min Wu Takao Terano School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Computer Science School of ComputingTokyo Institute of Technology

ISBN: (纸本)9781538629185

This paper proposes a robust iterative learning control method for the refining furnace alloy weighing process to solve the problem of the poor control accuracy and stability caused by the changing of alloy properties and the frequency of the vibration feeder. First, a two dimensional（2D） weighing model was established based on the analysis of the dynamic characteristics of alloy weighing process. Second, a control scheme is proposed for the 2D model of alloy weighing ***, a robust iterative learning controller is developed and a stability condition of the 2D system is derived through linear matrix inequality（LMI） obtained by a 2D Lyapunov-Krasovskii function. Finally, the simulation results show that the proposed method can sufficiently improve the control precision of the alloy weighing process.

关键词： Iterative learning control 2D weighing model Batch process Alloy weighing process Robust control

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Semi-Global Output Containment control of Linear Multi-Agent Systems with Actuator Saturation

Semi-Global Output Containment Control of Linear Multi-Agent...

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Chinese control Conference (CCC)

作者： Liangren Shi Zongli Lin Department of Automation Key Laboratory of System Control Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville U.S.A.

In this paper, we study the semi-global output containment control problem of a multi-agent system in the presence of actuator saturation over a directed network. The leader and follower agents are of different dynamics, and the follower agents are affected by disturbances generated by the leader agents through directed paths in the communication topology. The control objective of the output containment control is to drive the output trajectories of the follower agents to converge to the convex hull spanned by the outputs of the leader agents in the presence of disturbances. Low gain feedback containment protocols are constructed based on the output regulation approach and distributed observers. It is shown that semi-global output containment control can be achieved by the proposed protocols, if each follower agent is connected to at least one leader agent through a directed path in the communication topology. Simulation results verify the theoretical conclusions.

关键词： Multi-agent systems Observers Actuators Protocols Topology Trajectory Eigenvalues and eigenfunctions

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control of multi-channel multiphase queuing system based on optimal aggregation methodology

Control of multi-channel multiphase queuing system based on ...

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International Scientific and Technical Conference on computer Science and Information Technologies

作者： Taisa Borovska Inna Vernigora Irina Kolesnyk Andriy Kushnir Department of Computer Control Systems (CCS) Vinnytsia National Technical University Vinnytsia Ukraine Department of Computer Engineering (CE) Vinnytsia National Technical University Vinnytsia Ukraine Faculty of Computer Systems and Automation Vinnytsia National Technical University Vinnytsia Ukraine

The control systems of multi-channel multiphase queuing systems are considered. The control system is based on the methodology of optimal aggregation, therefore there are no restrictions on the form of the functions "costs, output" and probability distribution functions. The methods of optimal aggregation solve the optimization problem for continuous, discrete and integer functions of the class "costs, output". Processes for servicing the flow of objects has two modes: the absence and presence of queues. Software modules for analyzing and predicting of the requirements flow, optimal service in the presence and absence of queues are developed.

关键词： Service Queue Optimal aggregation Costs Output Probabilities distribution

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IEEE Transactions on Evolutionary Computation Special Issue on Parallel Evolution for Large Scale Optimization

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IEEE Transactions on Evolutionary Computation 2018年第4期22卷 633-633页

作者： Wang, Fei-Yue Wei, Qinglai Tang, Ke Coello Coello, Carlos A. State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences China Qingdao Academy of Intelligent Industries China Department of Computer Science and Engineering Southern University of Science and Technology China Department of Computer Science CINVESTAV-IPN Mexico

Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.

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Protecting privacy of users in brain-computer interface applications

arXiv

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arXiv 2019年

作者： Agarwal, Anisha Dowsley, Rafael McKinney, Nicholas D. Wu, Dongrui Lin, Chin-Teng De Cock, Martine Nascimento, Anderson C.A. School of Engineering and Technology University of Washington TacomaWA98402 United States Department of Computer Science Bar-Ilan University Israel School of Engineering and Technology University of Washington TacomaWA98402 United States Key Laboratory of the Ministry of Education for Image Processing and Intelligent Control School of Automation Huazhong University of Science and Technology Wuhan China School of Software University of Technology Sydney Australia Department of Applied Mathematics Computer Science and Statistics Ghent University Ghent9000 Belgium

Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference. Among the most intimate exploited data sources is electroencephalogram (EEG) data, a kind of data that is so rich with information that application developers can easily gain knowledge beyond the professed scope from unprotected EEG signals, including passwords, ATM PINs, and other intimate data. The challenge we address is how to engage in meaningful ML with EEG data while protecting the privacy of users. Hence, we propose cryptographic protocols based on Secure Multiparty Computation (SMC) to perform linear regression over EEG signals from many users in a fully privacy-preserving (PP) fashion, i.e. such that each individual's EEG signals are not revealed to anyone else. To illustrate the potential of our secure framework, we show how it allows estimating the drowsiness of drivers from their EEG signals as would be possible in the unencrypted case, and at a very reasonable computational cost. Our solution is the first application of commodity-based SMC to EEG data, as well as the largest documented experiment of secret sharing based SMC in general, namely with 15 players involved in all the computations. Copyright © 2019, The Authors. All rights reserved.

关键词： Machine learning

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control design of an electro-pneumatic gearbox actuator

Control design of an electro-pneumatic gearbox actuator

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IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications, MESA

作者： Adam Szabo Tamas Becsi Peter Gaspar Szilard Aradi Department of Control for Transportation and Vehicle Systems Budapest University of Technology and Economics Budapest Hungary Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

The paper deals with the model-based control of an electro-pneumatic gearbox actuator. Electro-pneumatic systems have many advantages, such as long lifetime and high operational safety, but their nonlinear behavior makes predicting and controlling them difficult. The objective of the research is to design an optimal control of an electro-pneumatic gearbox actuator. In order to control a nonlinear system with linear control methods a multi-state state-space representation of the system is presented. Based on a preliminary comparison an open-loop, a PID, and a linear quadratic controller were chosen for development. The developed controllers were tested in a Model in The Loop environment, and their performances were compared based on previously defined controlling requirements. Both the open-loop and the PID controller were able to meet the given requirements. The open-loop controller has high parameter sensitivity and relative low performances in case of collision speed and shift time, while the PID controller has the highest number of solenoid valve actuations. The linear quadratic controller has good overall performance in case of neutral to gear changes, however it cannot stabilize the system in neutral position within the required time, which can be a consequence of the given simplifications. With respect to the results of the Model in the Loop tests two suggestions were made regarding the applicable controller.

关键词： Solenoids Pistons Valves Actuators Gears Embedded systems

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Generative Adversarial Networks:Introduction and Outlook

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 588-598页

作者： Kunfeng Wang Chao Gou Yanjie Duan Yilun Lin Xinhu Zheng Fei-Yue Wang IEEE State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences University of Chinese Academy of Sciences Department of Computer Science and Engineering University of Minnesota Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology

Recently, generative adversarial networks(GANs)have become a research focus of artificial intelligence. Inspired by two-player zero-sum game, GANs comprise a generator and a discriminator, both trained under the adversarial learning *** goal of GANs is to estimate the potential distribution of real data samples and generate new samples from that *** their initiation, GANs have been widely studied due to their enormous prospect for applications, including image and vision computing, speech and language processing, etc. In this review paper, we summarize the state of the art of GANs and look into the future. Firstly, we survey GANs' proposal background,theoretic and implementation models, and application ***, we discuss GANs' advantages and disadvantages, and their development trends. In particular, we investigate the relation between GANs and parallel intelligence,with the conclusion that GANs have a great potential in parallel systems research in terms of virtual-real interaction and integration. Clearly, GANs can provide substantial algorithmic support for parallel intelligence.

关键词： ACP approach adversarial learning generative adversarial networks(GANs) generative models parallel intelligence zero-sum game

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On-line Monitoring of Ash Fouling for Air Pre-Heaters in Coal-fired Power Plant Boiler 29

On-line Monitoring of Ash Fouling for Air Pre-Heaters in Coa...

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第29届中国控制与决策会议

作者： Shi Yuanhao Wang Jingcheng Wen jie School of Computer Science and Control Engineering North University of China Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781509046584

Air pre-heater of coal-fired power plant boiler is an important piece of engineering equipment,which is designed to heat air before combustion in furnace with the primary objective of increasing the thermal efficiency of the *** paper presents a mathematical model of heat exchange,which allows for the on-line monitoring of ash fouling in air *** model is built using dynamic heat balance method,in which the cleanliness factor is used to characterize the fouling *** ash fouling model is validated by using the actual data of a 300 MW power plant *** validation results show the effectiveness of the proposed *** can be used for the soot blowing optimization in most coal-fired power plant boiler with air preheaters,not requiring additional special instruments and complex computing systems.

关键词： Coal-fired Power Plant Boiler Air Pre-Heater Ash Fouling Monitoring Cleanliness Factor

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Preface

Methodologies and Intelligent Systems for Technology Enhance...

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 9th International Conference, 2019 2020年 1007卷 v-vi页

作者： Gennari, Rosella Vittorini, Pierpaolo De la Prieta, Fernando Di Mascio, Tania Temperini, Marco Silveira, Ricardo Azambuja Carranza, Demetrio Arturo Ovalle Computer Science Faculty Free University of Bozen-Bolzano Bolzano Italy Department of Life Health and Environmental Sciences University of L’Aquila L’Aquila Italy Department of Computer Science and Automation Control University of Salamanca SalamancaSalamanca Spain Department of Information Engineering Computer Science and Mathematics University of L’Aquila L’Aquila Italy Dipartimento di Ingegneria Informatica Automatica e Gestionale Sapienza Università di Roma Rome Italy Department of Computer Science and Statistics Federal University of Santa Catarina Florianópolis Brazil Universidad Nacional de Colombia Medellin Colombia

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