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Coronavirus disease 2019 outbreak in Beijing's Xinfadi Market, China: a modeling study to inform future resurgence response

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Infectious Diseases of Poverty 2021年第3期10卷 122-123页

作者： Xiao-Li Wang Xin Lin Peng Yang Zun-You Wu Gang Li Jennifer M.McGoogan Zeng-Tao Jiao Xin-Jun He Si-Qi Li Hong-Hao Shi Jing-Yuan Wang Sheng-Jie Lai Chun Huang Quan-Yi Wang Beijing Research Center for Preventive Medicine Beijing Center for Disease Prevention and ControlBeijingChina School of Computer Science and Engineering Beihang UniversityBeijingChina WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonUK 不详

Background:A local coronavirus disease 2019(COVID-19)case confirmed on June 11,2020 triggered an outbreak in Beijing,China after 56 consecutive days without a newly confirmed ***-pharmaceutical interventions(NPIs)were used to contain the source in Xinfadi(XFD)*** rapidly control the outbreak,both traditional and newly introduced NPIs in eluding large-scale management of high-risk populations and expanded severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)PCR-based screening in the general population were conducted in *** aimed to assess the effectiveness of the response to the COVID-19 outbreak in Beijing's XFD market and inform future response efforts of resurgence across regions.

关键词： Public health Nonpharmaceutical intervention COVID-19 SARS-CoV-2 Beijing

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Analyzing the Reliability of Stream Sparse Matrix-Vector Multiplication Accelerators: A High-Level Approach

Analyzing the Reliability of Stream Sparse Matrix-Vector Mul...

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Latin American Test Workshop, LATW

作者： María L. Pinto-Salamanca Josie E. Rodriguez Condia José A. Hidalgo-López Wilson J. Pérez-Holguín GIRA Research Group Universidad Pedagógica y Tecnológica de Colombia (UPTC) Departamento de Electrónica Universidad de Málaga Department of Control and Computer Engineering (DAUIN) Politecnico di Torino

ISBN: (数字)9798350365559

ISBN: (纸本)9798350365566

1 Today, advances in scientific and embedded computing and the incredible proliferation of machine learning algorithms take advantage of specialized hardware accelerators to provide exceptional performance and good accuracy. In some safety-critical applications like autonomous robotics, healthcare, and automotive, crucial mathematical operations such as convolutions are often efficiently mapped in hardware as Matrix-Vector(MxV) and Matrix-Matrix (MxM) multiplications. Moreover, sophisticated sparsity algorithms aim to improve performance and power consumption. Unfortunately, technology scaling trends may increase the proliferation of faults on hardware during the in-field operation, so there is a rising interest in the reliability assessment and analysis of sparsity-based accelerators. This work evaluates the impact of soft errors (bit-flips) on sparse-matrix dense-vector multiplication (SpMV) cores for safety-critical tactile sensing applications by resorting to a High-Level Synthesis (HLS) strategy. The experiments are performed on an open-source streaming SpMV core using the Compressed Sparse Row (CSR) format when processing characteristic medium-size sparse matrices (100x100 and 494x494). Our results indicate that data-path pipeline registers in the (SpMV) core are resilient to transient faults (< 1.3% of observed corruption effects), while large magnitude errors can be associated with the type of sparse matrix describing the system (e.g., number of non-zero values) and the type and features of the input vector sensor.

关键词： Machine learning algorithms Power demand Pipelines Robot sensing systems Vectors Sensors Registers

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Energy-Saving Practice of Variable Frequency Drive Technology in Data Center HVAC System 5

Energy-Saving Practice of Variable Frequency Drive Technolog...

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Ai, Chuanxian Yang, Jinpeng Chen, Rui Kunming University of Science and Technology Faculty of Information Engineering and Automation Kunming China The National Computer Network Emergency Response Technical Team Coordination Center of China Yunnan Branch Kunming China Guizhou Power Grid Co. Ltd. China Southern Power Grid Co. Ltd Power Dispatch Control Center Guiyang China

ISBN: (纸本)9798350339673

The variable-frequency drive technology (VFD) can modify the motor speed or torque by varying the frequency and voltage of the AC motor input power according to the load demand as a way to save energy. To analyse the energy saving effect of variable-frequency drive technology applied to data centre heating, ventilation, and air conditioning (HVAC) systems, this paper applies VFD technology to data centre fluorine pump-compressor composite air conditioning systems, implements monitoring and analysis of the operational energy efficiency of this system before and after retrofit, and combines the actual application of this technology. The findings indicate that the VFD technology can substantially reduce the number of compressor starts and stops, reduce the compressor start-up inrush current, and improve the power system's stability. Furthermore, utilising this technology, the HVAC system can effectively synchronise with the load and fluctuations in outdoor temperature and humidity, resulting in accurate temperature regulation and optimal utilisation of outdoor cooling resources. This approach can lead to significant energy conservation of up to 42.95% when compared to extreme hot and cold weather conditions. The findings of the study indicate that the utilisation of VFD technology exhibits commendable adaptability and yields favourable outcomes in regions with varying temperature ranges. The minimum PUE value recorded was 1.228. © 2023 IEEE.

关键词： data center energy saving HVAC system variable-frequency drive technology

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Analysis of Moving Target Defense in Unbalanced and Multiphase Distribution Systems Considering Voltage Stability

Analysis of Moving Target Defense in Unbalanced and Multipha...

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2021 IEEE International Conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2021

作者： Liu, Mengxiang Zhao, Chengcheng Zhang, Zhenyong Deng, Ruilong Cheng, Peng College of Control Science and Engineering Zhejiang University State Key Lab. of Industrial Control Technology Hangzhou China College of Computer Science and Technology Guizhou University State Key Lab. of Public Big Data Guiyang China

ISBN: (纸本)9781665415026

Moving Target Defense (MTD) is a new technology to defend against the false data injection attack (FDIA) on distribution system state estimation (DSSE). It works by proactively perturbing the branch reactance. However, due to the challenges induced by the nonlinear dynamics and the coupling phases in the three-phase AC DSSE model, the analysis on the effectiveness and hiddenness of MTD, which are two essential performance metrics, has not yet been conducted. In this paper, we attempt to optimize the effectiveness and hiddenness of MTD while considering voltage stability. Firstly, we quantify the two metrics with approximated measurement residuals. Based on the quantified metrics, we formulate an optimization problem to maximize the effectiveness with guaranteed hiddenness and ensure voltage stability by minimizing the voltage variation induced by MTD. The original problem is transformed to a polynomial optimization problem based on the observation that the alteration of the projection matrix caused by reactance perturbation is neglectable, such that the near-optimal result can be obtained. Finally, extensive simulations are conducted on the IEEE 13-bus test feeder to evaluate the performance of the proposed MTD. © 2021 IEEE.

关键词： Network security

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Time-Robust Path Planning with Piece-Wise Linear Trajectory for Signal Temporal Logic Specifications

Time-Robust Path Planning with Piece-Wise Linear Trajectory ...

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American control Conference (ACC)

作者： Nhan-Khanh Le Erfaun Noorani Sandra Hirche John S. Baras Chair of Information-oriented Control (ITR) School of Computation Information and Technology Technical University of Munich Munich Germany Department of Electrical and Computer Engineering Institute for Systems Research (ISR) at the University of Maryland College Park MD USA

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

Real-world scenarios are characterized by timing uncertainties, e.g., delays, and disturbances. Algorithms with temporal robustness are crucial in guaranteeing the successful execution of tasks and missions in such scenarios. We study time-robust path planning for synthesizing robots' trajectories that adhere to spatial-temporal specifications expressed in Sig-nal Temporal Logic (STL). In contrast to prior approaches that rely on discretized trajectories with fixed time-steps, we leverage Piece-Wise Linear (PWL) signals for the synthesis. PWL signals represent a trajectory through a sequence of time-stamped waypoints. This allows us to encode the STL formula into a Mixed-Integer Linear Program (MILP) with fewer variables. This reduction is more pronounced for specifications with a long planning horizon. To that end, we define time-robustness for PWL signals. Subsequently, we propose quantitative semantics for PWL signals according to the recursive syntax of STL and prove their soundness. We then propose an encoding strategy to transform our semantics into a MILP. Our simulations showcase the soundness and the performance of our algorithm.

关键词： Uncertainty Semantics Transforms Syntactics Encoding Robustness Trajectory

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Multistep Model Predictive Torque control for Induction Motor via Imitation Learning

Multistep Model Predictive Torque Control for Induction Moto...

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Annual Conference of Industrial Electronics Society

作者： Yudi Zhang Shuhua Gao Jian Ge Hongfeng Ji Cheng Xiang Electrical & Computer Engineering National University of Singapore Singapore Control Science & Engineering Shandong University Jinan China Jiangsu Hengkang Mechanical and Electrical Co. Ltd Jiangsu China Shandong Sanjian Construction Engineering Co. Ltd. Jinan China

This article proposes a novel approach utilizing imitation learning to address the computational challenge of multistep model predictive torque control (MPTC). The long prediction horizon of multistep MPTC usually contributes to better performance for induction motor control. Nevertheless, the computational burden increases exponentially with the length of the prediction horizon, leading to considerable difficulties in its real time implementation. MPTC essentially solves an optimization problem, which is time-consuming for a long prediction horizon. To overcome the computational difficulty, we replace the expensive numerical solver with a cheap deep neural network (DNN) following the idea of imitation learning. The DNN's output approximates the optimal solution after training. The proposed method achieves comparable steady-state performance to the ideal multistep MPTC, with lower computational complexity, especially when the switching frequency is limited. Moreover, this strategy demonstrates notable control performance improvements in contrast to the conventional one-step MPTC. Overall, the proposed method has great potential for real-time multistep MPTC implementation in typical induction motor drives.

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Comparative Analysis of CO₂ Emission Accounting Methods for Coal-fired Power Plants

Comparative Analysis of CO₂ Emission Accounting Methods for...

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Frontiers of Power and Energy (ACFPE), Asian Conference on

作者： Hongwen Liu Mingfei Ban Yaofei Sun Yiqi Liu Qichao Chen Wenlong Song Department of Computer and Control Engineering Northeast Forestry University Harbin China Economic and Technological Research Institute State Grid Beijing Electric Power Co. Ltd Beijing China

Energy combustion is the primary source of CO 2 emissions in China. Coal-fired power generation, in particular, is a significant consumer of energy. To achieve the carbon peaking and carbon neutrality goals, it is crucial for coal-fired power plants to select suitable methods for calculating CO 2 emissions and accounting for them. Starting from the carbon emission sources of coal-fired power plants and using the principle of least squares, qualitative and quantitative analyses, different methods for calculating CO 2 emissions from coal-fired power plants are analyzed. A comparative analysis model is established to compare the calculation results, data acquisition costs, carbon trading cost, and comprehensive accounting costs of different CO 2 emission accounting methods. The computational results illustrate that the CO 2 emissions derived from the material balance method closely approximate the measurements obtained through continuous monitoring techniques, with the data acquisition costs and carbon trading costs stemming from carbon emission characteristic coefficient calculations being minimal.

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Study of the Influence of Rolling Modes on the Operation of Interconnected Electric Drives of a Rolling Mill 4

Study of the Influence of Rolling Modes on the Operation of ...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Tytiuk, Valerii Busher, Victor Kalinin, Alexey Chornyi, Oleksii Druzhinin, Valeriy Halushko, Dmytro Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine Department of Informative computer systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda Kazakhstan Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Department of Power Engineering Karaganda Industrial University NPJSC Temirtau Kazakhstan Dept. of Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine

ISBN: (纸本)9798350395532

The paper is devoted to study of the influence of rolling modes on the performance of powerful interconnected electric drives of a hot rolling mill under the action of an electromagnetic coupling circuit between the electric drives of the roughing and finishing groups. The action of the electromagnetic coupling circuit manifests itself in the form of the influence of impact loads of synchronous electric drives on the angular velocity of direct current electric drives of the finishing group of the mill. The parameters of the electromagnetic coupling circuit are determined by the power supply scheme and equipment parameters. Values of impact loads applied to a synchronous motor depend on the rolling process parameters, in particular, the chemical composition of the rolled steel and the temperature of the ingot. The paper presents the results of calculating the rolling power for various rolling mode parameters. Using mathematical modeling in Simulink, numerical estimates of the influence of rolling modes on the magnitude of the voltage drop in the power supply unit and the drop in the angular velocity of the electric drive of the finishing group were obtained on the example of a wide-strip hot rolling mill 1700 of ArcelorMittal Temirtau JSC. © 2023 IEEE.

关键词： Hot rolling

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Improving wheelset stability of railway vehicles by using an H∞/LPV active wheelset system

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Periodica Polytechnica Transportation engineering 2021年第3期49卷 261-269页

作者： Vu, Van Tan Tran, Van Da Truong, Manh Hung Sename, Olivier Gaspar, Peter Department of Automotive Mechanical Engineering Faculty of Mechanical Engineering University of Transport and Communications 3 Cau Giay Street Hanoi10000 Viet Nam Université Grenoble Alpes P. O. B. 46 Saint-Martin-d'Hères38402 France Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary

The complexity of railway vehicle structures has been part of an evolutionary process for almost two hundred years. Challenges such as increased weight, increased maintenance, higher costs and energy consumption have become common. The vision for future railway vehicles is to reduce complexity, hence enable simpler structures and reduce maintenance and cost, and of course various research challenges arise from this. In fact, a number of papers in the railway engineering literature have presented practical ways to control steering of railway vehicles to improve performance. The model of the railway wheelset is highly nonlinear, mainly due to the nature of the wheelset structure and the related wheel-rail contact forces involved during operation. In this paper, the simplest design in terms of retrofitting, the actuated solid-axle wheelset is considered, we investigate actively controlled wheelsets from a Linear Parameter Varying (LPV) control aspect. We use the grid-based LPV approach to synthesize the H∞/LPV controller, which is self-scheduled by the forward velocity, as well as the longitudinal and lateral creep coefficients. The aim of the controller is to reduce the lateral displacement and yaw angle of the wheelset. Simulation results show that the proposed controller ensures the achievement of the above targets in the considered frequency domain up to 100 rad/s. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： controllers

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Designing LQR controllers for an active anti-roll bar system with a flexible frame model of a single unit heavy vehicle

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Periodica Polytechnica Transportation engineering 2021年第3期49卷 199-209页

作者： Vu, Van Tan Tran, Van Da Pham, Quoc Trung Truong, Manh Hung Sename, Oliver Gaspar, Peter Department of Automotive Mechanical Engineering Faculty of Mechanical Engineering University of Transport and Communications 3 Cau Giay Street Hanoi100000 Viet Nam Université Grenoble Alpes P. O. B. 46 Saint-Martin-d'Hères38402 France Systems and Control Laboratory Institute for Computer Science and Control Hungarian Academy of Sciences Kende u. 13-17 BudapestH-1111 Hungary

Rollover accidents of heavy vehicles often cause serious consequences both in terms of vehicle and environmental damage as well the loss or injury of drivers, passengers and ordinary civilians. Currently, the active anti-roll bar system is considered as the most effective solution in enhancing vehicle roll stability. In this paper, we firstly investigated the role of a flexible frame of a single unit heavy vehicle in the rollover process. This approach is an important step forward in the research of the active anti-roll bar system. Then, the LQR control method is applied in designing controllers for the active anti-roll bar control system with this frame model. The active torque of the anti-roll bar system is considered as the control signal. The simulation results in the frequency and time domains with a double lane change maneuver show that the vehicle's roll stability is improved by over 30 % compared to a vehicle using a passive anti-roll bar system. © 2021 Budapest University of Technology and Economics. All rights reserved.

关键词： Vehicles

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