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arXiv 2024年

作者： Pope, Simon A. Roth, Diane J. Bansal, Aakash Mousa, Mostafa Rezanejad, Ashkan Forte, Antonio E. Nash, Geoff.R. Singleton, Lawrence Langfeldt, Felix Cheer, Jordan Henthorn, Stephen Hooper, Ian R. Hendry, Euan Powell, Alex W. Souslov, Anton Plum, Eric Sun, Kai de Groot, C.H. Muskens, Otto L. Shields, Joe De Galarreta, Carlota Ruiz Wright, C. David Kocabas, Coskun Ergoktas, M. Said Xiao, Jianling Schulz, Sebastian A. Di Falco, Andrea Krasavin, Alexey V. Zayats, Anatoly V. Galiffi, Emanuele Department of Automatic Control and Systems Engineering The University of Sheffield Amy Johnson Building Portobello Street SheffieldS1 3JD United Kingdom Department of Physics London Centre for Nanotechnology King’s College London Strand WC2R 2LS United Kingdom Wolfson School of Mechanical Electrical and Manufacturing Engineering Loughborough University United Kingdom Department of Engineering King’s College London LondonWC2R 2LS United Kingdom Natural Sciences University of Exeter Harrison Building North Park Road Exeter United Kingdom Institute of Sound & Vibration Research University of Southampton University Road Southampton United Kingdom Department of Electronic and Electrical Engineering University of Sheffield Sheffield United Kingdom Centre for Metamaterial Research and Innovation University of Exeter Stoker Road ExeterEX4 4QL United Kingdom T.C.M. Group Cavendish Laboratory University of Cambridge CambridgeCB3 0HE United Kingdom Optoelectronics Research Centre Centre for Photonic Metamaterials University of Southampton Highfield SouthamptonSO17 1BJ United Kingdom School of Physics and Astronomy University of Southampton Southampton United Kingdom Electronics and Computer Science University of Southampton Southampton United Kingdom Institute of Materials Science of Barcelona Universitat Autònoma de Barcelona Bellaterra Barcelona08193 Spain Department of Materials National Graphene Institute University of Manchester United Kingdom Schoolof Physics and Astronomy University of St Andrews North Haugh Fife St. AndrewsKY16 9SS United Kingdom Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West WaterlooONN2L 3G1 Canada Photonics Initiative Advanced Science Research Centre City University of New York 85 St. Nicholas Terrace New YorkNY10027 United States

Active metamaterials are engineered structures that possess novel properties that can be changed after the point of manufacture. Their novel properties arise predominantly from their physical structure, as opposed to their chemical composition and can be changed through means such as direct energy addition into wave paths, or physically changing/morphing the structure in response to both a user or environmental input. Active metamaterials are currently of wide interest to the physics community and encompass a range of sub-domains in applied physics (e.g. photonic, microwave, acoustic, mechanical, etc.). They possess the potential to provide solutions that are more suitable to specific applications, or which allow novel properties to be produced which cannot be achieved with passive metamaterials, such as time-varying or gain enhancement effects. They have the potential to help solve some of the important current and future problems faced by the advancement of modern society, such as achieving net-zero, sustainability, healthcare and equality goals. Despite their huge potential, the added complexity of their design and operation, compared to passive metamaterials creates challenges to the advancement of the field, particularly beyond theoretical and lab -based experiments. This roadmap brings together experts in all types of active metamaterials and across a wide range of areas of applied physics. The objective is to provide an overview of the current state of the art and the associated current/future challenges, with the hope that the required advances identified create a roadmap for the future advancement and application of this field. Copyright © 2024, The Authors. All rights reserved.

关键词： Microwave acoustics

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Hierarchic Stabilization of Flying Convex-Path-Following Formations Part II: Underactuated Agents

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IFAC-PapersOnLine 2019年第12期52卷 352-357页

作者： Mohamed I. El-Hawwary Department of Electrical Power Engineering Faculty of Engineering Cairo University Giza 12613 Egypt Division of Decision and Control Systems School of Electrical Engineering & Computer Science KTH Royal Institute of Technology SE-100 44 Stockholm Sweden

In this paper the flying convex-path-following formations problem (FCxPFF) is solved for two cases of underactuated rigid bodies. In the first case the the rigid bodies have a single degree of underactuation with two thrusts and three torques. In the second, they have two degrees of underactuation with a single thrust. The solution builds on the one developed for fully-actuated agents in Part I of the paper. In addition, the way the solution is tailored for underactuation relies on further utilization of hierarchic set stabilization, and reduction. Additional remarks on the benefits of the approach, and simulation results of the proposed solutions are presented.

关键词： Formation control distributed stabilization underactuated systems hierarchical control reduction

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Efficient Hybrid Beamforming with Anti-Blockage Design for High-Speed Railway Communications

arXiv

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arXiv 2020年

作者： Gao, Meilin Ai, Bo Niu, Yong Wu, Wen Yang, Peng Lyu, Feng Shen, Xuemin State Key Laboratory of Rail Traffic Control and Safety Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China University of Waterloo WaterlooONN2L 3G1 Canada School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China School of Computer Science and Engineering Central South University Changsha410083 China

Future railway is expected to accommodate both train operation services and passenger broadband services. The millimeter wave (mmWave) communication is a promising technology in providing multi-gigabit data rates to onboard users. However, mmWave communications suffer from severe propagation attenuation and vulnerability to blockage, which can be very challenging in high-speed railway (HSR) scenarios. In this paper, we investigate efficient hybrid beamforming (HBF) design for train-to-ground communications. First, we develop a two-stage HBF algorithm in blockage-free scenarios. In the first stage, the minimum mean square error method is adopted for optimal hybrid beamformer design with low complexity and fast convergence;in the second stage, the orthogonal matching pursuit method is utilized to approximately recover the analog and digital beamformers. Second, in blocked scenarios, we design an anti-blockage scheme by adaptively invoking the proposed HBF algorithm, which can efficiently deal with random blockages. Extensive simulation results are presented to show the sum rate performance of the proposed algorithms under various configurations, including transmission power, velocity of the train, blockage probability, etc. It is demonstrated that the proposed anti-blockage algorithm can improve the effective rate by 20% in severely-blocked scenarios while maintaining low outage probability. Copyright © 2020, The Authors. All rights reserved.

关键词： Mean square error

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Identification of Cancer Development Related Pathways Based on Co-Expression Analyses

Identification of Cancer Development Related Pathways Based ...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Hongyang Jiang Zhihang Wang Chaoyi Yin Peishuo Sun Ying Xu Huiyan Sun School of Artificial Intelligence Jilin University Changchun Innovation Group of Marine Engineering Materials and Corrosion Control Southern Marine Science and Engineering Guangdong Laboratory Zhuhai China College of Computer Science and Technology Jilin University Changchun China School of Artificial Intelligence Jilin University Changchun China Computational Systems Biology Lab Institute of Bioinformatics University of Georgia Athens USA School of Artificial Intelligence Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun

ISBN: (数字)9781728162157

ISBN: (纸本)9781728162164

Cancer is a rapidly evolving disease, with complex physiological changes throughout its development. Different patients of the same cancer type may require distinct treatments depending on the level of development. Hence it is essential to identify the genes and biological processes strongly associated with cancer progression to design an effective treatment plan. Our study has found that cancer samples of the same development stage (or grade, subtype) tend to share highly unique co-expression patterns, providing considerably stronger discerning power than differential expressions for cancer staging (and grading, subtyping). Based on this, we have developed a framework for identification and analyses of genes and pathways strongly associated with a cancer's development through identification of co-expression patterns that become increasingly stronger or weaker over cancer samples from early through advanced stages. Functional analyses of such co-expressed genes reveal that (1) cell-cycle, immune response, ribosome, proteasome and oxidative phosphorylation, among others, strongly associate with cancer development, (2) the co-expression patterns among ribosome, proteasome and oxidative phosphorylation genes tend to become increasingly weaker as a cancer advances, for almost all cancer types, and (3) the co-expression patterns among cell cycle and immune response genes tend to become increasingly stronger with cancer progression. We anticipate that co-expression-based analyses like we present here will become a key technique for functional studies of cancer development and evolution.

关键词： Cancer Correlation Indexes Biological processes Physiology Immune system Genetic expression

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Two-line graphs of partial Latin rectangles

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Electronic Notes in Discrete Mathematics 2018年 68卷 53-58页

作者： Danan, Eiran Falcón, Raúl M. Kotlar, Dani Marbach, Trent G. Stones, Rebecca J. Department of Computer Science Tel-Hai College Upper Galilee Israel School of Building Engineering Universidad de Sevilla Sevilla Spain College of Computer and Control Engineering Nankai University Tianjin China

Two-line graphs of a given partial Latin rectangle are introduced as vertex-and-edge-coloured bipartite graphs that give rise to new autotopism invariants. They reduce the complexity of any currently known method for ... 详细信息

关键词： adequate partition autotopism group entry invariant partial Latin rectangle

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An analysis on the current researches in encryption algorithms based on neural networks

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Journal of Physics: Conference Series 2020年第3期1486卷

作者： Jin Ouyang School of Control and Computer Engineering North China Electric Power University Beijing China

To perform an in-depth analysis on the current researches concerning the application of neural networks in the encryption algorithms, this paper used some research methods such as literature review and algorithm analysis to review the proposal and application of neural network technologies as well as the proposal and research and development of encryption algorithms through. The importance of neural networks in the encryption algorithms is highlighted. The current researches on encryption algorithms based on neural networks are reviewed from three dimensions, namely, algorithm framework, algorithm model and algorithm application. Through the research, it shows that the neural network technology has become the preferred choice for developing the encryption algorithms. This paper also proposed the direction of improvement through fusion application of multiple information processing technologies. This work lays the basis for improving the encryption algorithms based on neural network.

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Main Steam Temperature Prediction Modeling Based on Autoencoder and GRU

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Journal of Physics: Conference Series 2020年第1期1621卷

作者： Ling Zheng Xinwei Cao Fei Chen School of Control and Computer Engineering North China Electric Power University Beijing China

There is an important parameter in the normal operation of thermal power plant units, that is, the main steam temperature, too high or too low will have a great impact on production. For safety and efficiency considerations, the main steam temperature needs to be controlled within a stable and appropriate range. In this way, the safety of equipment and people is guaranteed, but also ensures that resources will not be wasted. The prediction of the main steam temperature can achieve this aim. In view of the numerous influencing factors and non-linear characteristics of the main steam temperature, this paper proposes a main steam temperature prediction model based on autoencoder and GRU. First, build an autoencoder model, use historical data for training, enable it to accurately extract the essential information of the data. Then multiple influence parameters are dimensional reduced by the trained autoencoder, and use the reduced data as the input of the neural network built using GRU for training. The better model is finally compared with RNN and LSTM to verify the effectiveness and accuracy of the method.

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Leader-follower stochastic differential games under partial observation

Leader-follower stochastic differential games under partial ...

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第三十八届中国控制会议

作者： Zhipeng Li Minyue Fu Qianqian Cai Wei Meng School of Automation Guangdong University of Technology Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control School of Electrical Engineering and Computer Science University of Newcastle

This paper searches for the leader-follower stochastic differential Stackelberg game under a partial observed information. The controlled system equation and the observation equation are looked as the equality constraints, and then variation method is used to derive the necessary condition of this differential game problem for follower and leader respectively. Finally,an example is given to illustrate its application.

关键词： Stochastic differential game partial observation

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Abnormal network access detection of power Internet of Things terminal layer equipment based on equipment portrait

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Journal of Physics: Conference Series 2021年第5期1748卷

作者： Dongkai Yang Xiaoliang Zhang Kehe Wu Lipeng Lu School of Control and Computer Engineering North China Electric Power University Beijing Beijing 102206 China State Grid Handan Power Supply Company Handan Hebei 056000 China

In the environment of the power Internet of Things, equipment network security is mainly analyzed through the physical signal characteristics of the equipment or a single flow characteristic, so as to realize the equipment network abnormality detection. Therefore, a method for detecting network abnormalities of power Internet of Things terminal equipment based on device fingerprints is proposed. Aiming at the problem of incomplete detection methods, a multi-dimensional matching device fingerprint model is established. Firstly, the basic information of the device is collected, such as IP, MAC, etc.; then the network traffic information of the device is analyzed to extract the characteristics of network traffic; then, the frequency of keyword and keyword group of service protocol is counted. The device fingerprint model is established by using the traffic and service characteristics. When the network anomaly occurs, the device fingerprint model can be found effectively. The experimental results show that the device fingerprint model can detect the abnormal behavior of the device.

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Synchronization of Kuramoto Oscillators in a Bidirectional Frequency-Dependent Tree Network 57

Synchronization of Kuramoto Oscillators in a Bidirectional F...

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57th IEEE Conference on Decision and control, CDC 2018

作者： Jafarian, Matin Yi, Xinlei Pirani, Mohammad Sandberg, Henrik Henrik Johansson, Karl Automatic Control Department School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781538613955

This paper studies the synchronization of a finite number of Kuramoto oscillators in a frequency-dependent bidirectional tree network. We assume that the coupling strength of each link in each direction is equal to the product of a common coefficient and the exogenous frequency of its corresponding source oscillator. We derive a sufficient condition for the common coupling strength in order to guarantee frequency synchronization in tree networks. Moreover, we discuss the dependency of the obtained bound on both the graph structure and the way that exogenous frequencies are distributed. Further, we present an application of the obtained result by means of an event-triggered algorithm for achieving frequency synchronization in a star network assuming that the common coupling coefficient is given. © 2018 IEEE.

关键词： Synchronization

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