检索结果-内蒙古大学图书馆

Black hole spectroscopy for KAGRA future prospect in O5

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Uchikata, Nami Narikawa, Tatsuya Sakai, Kazuki Takahashi, Hirotaka Nakano, Hiroyuki Graduate School of Science and Technology Niigata University Niigata950-2181 Japan Department of Physics Kyoto University Kyoto606-8502 Japan Department of Electronic Control Engineering National Institute of Technology Nagaoka College Niigata940-8532 Japan Department of Information and Management Systems Engineering Nagaoka University of Technology Niigata940-2188 Japan Earthquake Research Institute University of Tokyo Tokyo113-0032 Japan Faculty of Law Ryukoku University Kyoto612-8577 Japan

Ringdown gravitational waves of compact binary mergers are an important target to test general relativity. The main components of the ringdown waveform after merger are black hole quasinormal modes. In general relativity, all multipolar quasinormal modes of a black hole should give the same values of black hole parameters. Although the observed binary black hole events so far are not significant enough to perform the test with ringdown gravitational waves, it is expected that the test will be achieved in third generation detectors. The Japanese gravitational wave detector KAGRA, called bKAGRA for the current configuration, has started observation, and discussions for the future upgrade plans have also started. In this study, we consider which KAGRA upgrade plan is the best to detect the subdominant quasinormal modes of black holes in the aim of testing general relativity. We use a numerical relativity waveform as injected signals that contains two multipolar modes and analyze each mode by matched filtering. Our results suggest that the plan FDSQZ, which improves the sensitivity of KAGRA for broad frequency range, is the most suitable configuration for black hole spectroscopy. Copyright © 2020, The Authors. All rights reserved.

关键词： Relativity

An Online Approach to Physical Watermark Design

学校读者我要写书评

暂无评论

arXiv 2019年

作者： Liu, Hanxiao Mo, Yilin Yan, Jiaqi Xie, Lihua Johansson, Karl H. School of Electrical and Electronic Engineering Nanyang Technological University Singapore Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Department of Automation and BNRist Tsinghua University China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden

This paper considers the problem of designing physical watermark signals in order to optimally detect possible replay attack in a linear time-invariant system, under the assumption that the system parameters are unknown and need to be identified online. We first provide a replay attack model, where an adversary replays the previous sensor data in order to fool the system. A physical watermarking scheme, which leverages a random control input as a watermark to detect the replay attack, is then introduced. The optimal watermark signal design problem is cast as an optimization problem, which aims to achieve the optimal trade-off between control performance and intrusion detection. An online watermarking design and system identification algorithm is provided to deal with systems with unknown parameters. We prove that the proposed algorithm converges to the optimal one and characterize the almost sure convergence rate. A numerical example and an industrial process example are provided to illustrate the effectiveness of the proposed strategy. Copyright © 2019, The Authors. All rights reserved.

关键词： Intrusion detection

Extended Kalman Filtering with Low-Rank Tensor Networks for MIMO Volterra System Identification

学校读者我要写书评

暂无评论

Extended Kalman Filtering with Low-Rank Tensor Networks for ...

IEEE Annual Conference on Decision and control

作者： Kim Batselier Ching-Yun Ko Ngai Wong Delft Center for Systems and Control Delft University of Technology The Netherlands Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong China

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This article reformulates the multiple-input-multiple-output Volterra system identification problem as an extended Kalman filtering problem. This reformulation has two advantages. First, it results in a simplification of the solution compared to the Tensor Network Kalman filter as no tensor filtering equations are required anymore. The second advantage is that the reformulation allows to model correlations between the parameters of different multiple-input-single-output Volterra systems, which can lead to better accuracy. The curse of dimensionality in the exponentially large parameter vector and covariance matrix is lifted through the use of low-rank tensor networks. The computational complexity of our tensor network implementation is compared to the conventional implementation and numerical experiments demonstrate the effectiveness of the proposed method.

关键词： Tensile stress Mathematical model Covariance matrices Kalman filters MIMO communication Noise measurement MISO communication

Wide-angle giant photonic spin Hall effect

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Chen, Zhihao Chen, Yu Wu, Yaodong Zhou, Xinxing Sun, Handong Low, Tony Chen, Hongsheng Lin, Xiao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha410081 China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong Province Institute of Microscale Optoelectronics Shenzhen University Shenzhen518060 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining314400 China

Photonic spin Hall effect is a manifestation of spin-orbit interaction of light and can be measured by a transverse shift δ of photons with opposite spins. The precise measurement of transverse shifts can enable many spin-related applications, such as precise metrology and optical sensing. However, this transverse shift is generally small (i.e. δ/λ -1, λ is the wavelength), which impedes its precise measurement. To-date proposals to generate giant spin Hall effect (namely with δ/λ > 102) have severe limitations, particularly its occurrence only over a narrow angular cone (with a width of ∆0 70◦ by exploiting the interface between free space and uniaxial epsilon-near-zero media. The underlying mechanism is ascribed to the almost-perfect polarization splitting between s and p polarized waves at the designed interface. Remarkably, this almost-perfect polarization splitting does not resort to the interference effect and is insensitive to the incident angle, which then gives rise to the wide-angle giant photonic spin Hall effect. Copyright © 2022, The Authors. All rights reserved.

关键词： Polarization

Learning control of quantum systems using frequency-domain optimization algorithms

学校读者我要写书评

暂无评论

arXiv 2020年

作者： Dong, Daoyi Shu, Chuan-Cun Chen, Jiangchao Xing, Xi Ma, Hailan Guo, Yu Rabitz, Herschel School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Department of Chemistry Princeton University PrincetonNJ08544 United States Hunan Key Laboratory of Super-Microstructure and Ultrafast Process School of Physics and Electronics Central South University Changsha410083 China School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Department of Chemistry Princeton University PrincetonNJ08544 United States Department of Control and Systems Engineering School of Management and Engineering Nanjing University Nanjing210093 China Hunan Provincial Key Laboratory of Flexible Electronic Materials Genome Engineering School of Physics and Electronic Science Changsha University of Science and Technology Changsha410114 China

We investigate two classes of quantum control problems by using frequency-domain optimization algorithms in the context of ultrafast laser control of quantum systems. In the first class, the system model is known and a frequency-domain gradient-based optimization algorithm is applied to searching for an optimal control field to selectively and robustly manipulate the population transfer in atomic Rubidium. The other class of quantum control problems involves an experimental system with an unknown model. In the case, we introduce a differential evolution algorithm with a mixed strategy to search for optimal control fields and demonstrate the capability in an ultrafast laser control experiment for the fragmentation of Pr(hfac)3 molecules. Copyright © 2020, The Authors. All rights reserved.

关键词： Frequency domain analysis

Guidance Vector Field Encoding based on Contraction Analysis 16

学校读者我要写书评

暂无评论

Guidance Vector Field Encoding based on Contraction Analysis

16th European control Conference, ECC 2018

作者： Wu, Chengshuai Chen, Jian Jeltsema, DImitri Dai, And Chenxi State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China Section Control Systems Engineering HAN University of Applied Science P.O. Box 2217 Arnhem6802 CE Netherlands Department of Electrical and Computer Engineering Ohio State University Columbus43210 United States

ISBN: (纸本)9783952426982

The guidance vector field encoding problem is revisited via exploiting the recently developed differential Lyapunov framework for contraction analysis. In control applications, a designed guidance vector field is utilized to guide a particle (such as a robot, or an end actuator) to converge to and circulate along a target curve, such as robot navigation, or motion planing. This paper proposes some new methods for guidance vector filed encoding. The methods analyze the guidance vector field encoding problem from a theoretical perspective providing insights into the problem, and it shows that the contraction analysis is a natural theoretical tool for guidance vector encoding. Furthermore, the differences and relations between the proposed result and the previous methods are discussed. Simulation examples are presented to illustrate the effectiveness of the proposed methods. © 2018 European control Association (EUCA).

关键词： Robots

The Robust Exact Differentiator Toolbox: Improved Discrete-Time Realization 15

学校读者我要写书评

暂无评论

The Robust Exact Differentiator Toolbox: Improved Discrete-T...

15th International Workshop on Variable Structure systems, VSS 2018

作者： Reichhartinger, M. Koch, S. Niederwieser, H. Spurgeon, S.K. Graz University of Technology Institute of Automation and Control Graz Austria Institute of Automation and Control Graz University of Technology Christian Doppler Laboratory for Model Based Control of Complex Test Bed Systems Graz Austria Information and Computer Engineering Graz University of Technology Graz Austria University College London Department of Electronic Electrical Engineering London United Kingdom

ISBN: (纸本)9781538664391

This paper presents a new release of A Robust Exact Differentiator Toolbox for Matlab®/Simulink® proposed in [1]. This release features a new discrete-time realization of the continuous-time robust exact differentiator. The implemented discretization scheme is less sensitive to gain overestimation and does not suffer from the discretization chattering effect. Hence, the single tuning parameter of the new version of the implemented differentiator is more intuitive to tune. Furthermore, it shows superior estimation performance in the case of large sampling times in comparison to the previous release. This is confirmed by the presented results obtained by numerical simulations and a real world application. © 2018 IEEE.

关键词： Simulink

Recognition of patient groups with sleep related disorders using bio-signal processing and deep learning

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Jarchi, Delaram Andreu-Perez, Javier Kiani, Mehrin Vysata, Oldrich Kuchynka, Jiri Prochazka, Ales Sanei, Saeid Smart Health Technologies Group School of Computer Science and Electronic Engineering University of Essex ColchesterCO4 3SQ United Kingdom Embedded and Intelligent Systems Laboratory School of Computer Science and Electronics University of Essex ColchesterCO4 3SQ United Kingdom Department of Computing and Control Engineering University of Chemistry and Technology in Prague Prague 6166 28 Czech Republic Department of Neurology Faculty of Medicine in Hradec Králové Charles University Hradec Králové500 05 Czech Republic Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6160 00 Czech Republic School of Science and Technology Nottingham Trent University NottinghamNG11 8NS United Kingdom

Accurately diagnosing sleep disorders is essential for clinical assessments and treatments. Polysomnography (PSG) has long been used for detection of various sleep disorders. In this research, electrocardiography (ECG) and electromayography (EMG) have been used for recognition of breathing and movement-related sleep disorders. Bio-signal processing has been performed by extracting EMG features exploiting entropy and statistical moments, in addition to developing an iterative pulse peak detection algorithm using synchrosqueezed wavelet transform (SSWT) for reliable extraction of heart rate and breathing-related features from ECG. A deep learning framework has been designed to incorporate EMG and ECG features. The framework has been used to classify four groups: healthy subjects, patients with obstructive sleep apnea (OSA), patients with restless leg syndrome (RLS) and patients with both OSA and RLS. The proposed deep learning framework produced a mean accuracy of 72% and weighted F1 score of 0.57 across subjects for our formulated four-class problem. © 2021, CC BY-NC-ND.

关键词： Wavelet transforms

Intelligent Platoon Operating Slot Optimization Method based on Drivers’ Overtaking Behavior

学校读者我要写书评

暂无评论

Intelligent Platoon Operating Slot Optimization Method based...

International Conference on Intelligent Transportation

作者： JunJie Chen Wei ShangGuan Baigen Cai Manoj Bhat Yu Du School of Electronic and Information Engineering Beijing Jiaotong University Beijing China School of Electronic and Information Engineering the State Key Laboratory of Rail Traffic Control and Safety and Beijing Engineering Research Centre of EMC and GNSS Technology for Rail Transportation Beijing Jiaotong University Beijing China Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA USA

ISBN: (纸本)9781538670255

Vehicles were operating as platoon is a fundamental approach to solve the problem of road traffic efficiency. When a vehicle travels in the two-lane highway, it could overtake only by using the opposing lane. The platoon makes the ego vehicle face the problem of overtaking, which not only interfering with the traffic efficiency improving but also adding the risk of collision. In order to solve this problem, a step-by-step VOPDS (vehicle overtakes the platoon based on driving style) algorithm was proposed, in which an optimal speed matching scheme by researching the relationship between the speed of vehicles before the slot, the speed of vehicles behind the slot, the speed of vehicle joining a platoon and the required safety slot was designed. Also, a Hierarchical Constrained Multi-objective Optimization Method Based on Improved Particle Swarm Optimization is proposed, which provides the optimized speed guidance strategy for the vehicle overtaking a platoon model. In order to make the speed guidance information be accepted by drivers, this paper got driver behavior characteristics statistics by using open-source driving-simulation tool CARLA, through experiments. The algorithm-simulation results imply that the improved particle swarm optimization algorithm has stronger robustness and faster convergence than the traditional algorithms, optimized results which be more in line with drivers' driving style showed an improved both overall operating efficiency and comfortable for single vehicle overtaking a platoon scenario.

关键词： Vehicles Safety Acceleration Roads Optimization methods Particle swarm optimization