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arXiv 2021年

作者： Xu, Yiming Li, Jiaxin Peng, Yiheng Ding, Yan Wei, Hualiang Yingcai Honors College University of Electronic Science and Technology of China Chengdu China Key Laboratory of Dynamics and Control of Flight Vehicle Ministry of Education School of Aerospace Engineering Beijing Institute of Technology Beijing100081 China School of Computer Science and Technology Donghua University Shanghai China Department of Automatic Control and Systems Engineering University of Shefield ShefieldS1 3JD United Kingdom

Multi-person pose estimation is a fundamental and challenging problem to many computer vision tasks. Most existing methods can be broadly categorized into two classes: top-down and bottom-up methods. Both of the two types of methods involve two stages, namely, person detection and joints detection. Conventionally, the two stages are implemented separately without considering their interactions between them, and this may inevitably cause some issue intrinsically. In this paper, we present a novel method to simplify the pipeline by implementing person detection and joints detection simultaneously. We propose a Double Embedding (DE) method to complete the multi-person pose estimation task in a global-to-local way. DE consists of Global Embedding (GE) and Local Embedding (LE). GE encodes different person instances and processes information covering the whole image and LE encodes the local limbs information. GE functions for the person detection in top-down strategy while LE connects the rest joints sequentially which functions for joint grouping and information processing in A bottom-up strategy. Based on LE, we design the Mutual Refine Machine (MRM) to reduce the prediction difficulty in complex scenarios. MRM can effectively realize the information communicating between keypoints and further improve the accuracy. We achieve the competitive results on benchmarks MSCOCO, MPII and CrowdPose, demonstrating the effectiveness and generalization ability of our method. Copyright © 2021, The Authors. All rights reserved.

关键词： Embeddings

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Evaluation of Path States of Large IoT Networks Using Locally and Remotely controlled Measurements

Evaluation of Path States of Large IoT Networks Using Locall...

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IFIP Networking Conference

作者： Agnieszka Chodorek Robert R. Chodorek Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland Department of Telecommunications The AGH University of Science and Technology Kraków Poland

ISBN: (数字)9783903176287

ISBN: (纸本)9781728167107

The state of network paths is of great importance for the quality and reliability of the transmission of information coming from the IoT devices. Changing network conditions cause the state of a single path to be highly unpredictable, especially when large-scale IoT networks, connecting thousands of specialized devices, are in use. The solution to this problem is to perform trials in a real environment, with the use of real hardware. The rationalization of the design, the implementation and the exploitation of the process will be the main benefit of this approach. In this demonstration, a testbed infrastructure for the estimation of the state of path parameters in wired and wireless networks is presented. The estimation is based mainly on active measurements performed with the use of the Probing Packet Trains method. The key elements of the testbed infrastructure are locally and remotely controlled energy-efficient single-board computers, working under the control of the Linux operating system, which are equipped with software able to track (in manual or automatic mode) changing conditions of a given transmission path.

关键词： Estimation Internet of Things Monitoring Performance evaluation Servers Manuals Bandwidth

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A spectral small-gain condition for input-to-state stability of infinite networks

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IFAC-PapersOnLine 2020年第2期53卷 5303-5308页

作者： Christoph Kawan Andrii Mironchenko Abdalla Swikir Navid Noroozi Majid Zamani Institute of Informatics Ludwig Maximilian University Munich Germany Faculty of Computer Science and Mathematics University of Passau Germany Department of Electrical and Computer Engineering Technical University of Munich Germany Otto-von-Guericke University Magdeburg Laboratory for Systems Theory and Automatic Control Germany Computer Science Department University of Colorado Boulder USA

This paper presents a tight small-gain theorem for networks composed of infinitely many finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains, has a spectral radius less than one, the overall infinite network is exponentially input-to-state stable. We illustrate the effectiveness of our result by applying it to traffic networks.

关键词： Nonlinear systems small-gain theorems infinite-dimensional systems input-to-state stability Lyapunov methods large-scale systems

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Reference design for closed loop system optimization

arXiv

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arXiv 2020年

作者： Balula, Samuel Liniger, Alex Rupenyan, Alisa Lygeros, John Automatic Control Laboratory Department of Electrical Engineering and Information Technology ETH Zurich Switzerland Inspire AG ETH Zurich Switzerland Computer Vision Lab Department of Electrical Engineering and Information Technology ETH Zurich Switzerland

An optimization-based method for improving the productivity of precision machine tools is proposed, where the reference path is computed in local coordinates, and information about the machine tool performance is learned from experimental data. The optimization yields a modified reference that is tracked by the existing low-level controller. The method is tested in simulation for a biaxial positioning system. The positioning system is modelled as double integrator, and the controller characteristic is modelled from experimental data using a least-squares fit. Simulation results show that the method is effective in designing optimal references even for challenging geometries such as sharp corners. The application of this procedure allows the retrofit of the control of existing machines with minimal overhead, by providing a modified reference file to track. Copyright © 2020, The Authors. All rights reserved.

关键词： Closed loop systems

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A market-based approach for enabling inter-area reserve exchange

arXiv

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arXiv 2021年

作者： Karaca, Orcun Delikaraoglou, Stefanos Kamgarpour, Maryam Automatic Control Laboratory D-ITET ETH Zürich ETL K12 Physikstrasse 3 Zürich8092 Switzerland Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA United States Electrical and Computer Engineering Department University of British Columbia Vancouver Canada

Considering the sequential clearing of energy and reserves in Europe, enabling inter-area reserve exchange requires optimally allocating inter-area transmission capacities between these two markets. To achieve this, we provide a market-based allocation framework and derive payments with desirable properties. The proposed min-max least core selecting payments achieve individual rationality, budget balance, and approximate incentive compatibility and coalitional stability. The results extend the works on private discrete items to a network of continuous public choices. Copyright © 2021, The Authors. All rights reserved.

关键词： Budget control

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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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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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The method of teaching IT students computer analysis of ergonomic reserves of the effectiveness of automated control systems

The method of teaching IT students computer analysis of ergo...

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2020 International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters, ICSF 2020

作者： Lavrov, Evgeniy Pasko, Nadiia Siryk, Olga Kisel, Natalia Sedova, Nelly Sumy State University Department of Computer Science Sumy Ukraine Sumy National Agrarian University Department of Cybernetics and Informatics Sumy Ukraine Taras Shevchenko National University of Kyiv Department of General Mathematics Kyiv Ukraine Southern Federal University Institute of Radio Engineering Systems and Control Taganrog Russia Maritime State University Named after G.I.Nevelskoy Department of Automatic and Information Systems Vladivostok Russia

In the article, we consider a technique for training university students, who study IT specialties to solve problems of finding ergonomic reserves to improve the efficiency of automated systems. We describe the structure of the "Ergonomics of Automated Systems" course, software for evaluating and optimizing the activities of operators of "human-equipment-environment" systems, and methodological techniques for using ergonomic computer modeling to build effective automated control systems. Discipline is built using a mansystem approach to the study and design of automated systems, when a person is considered the main element of the system, but the diverse influence of hardware, software and information support, as well as the environment, is taken into account. A significant difference between the developed method and similar existing disciplines devoted to the study of the "human factor" is that, firstly, not only the characteristics of the human operator working with technology are studied, but also the mutual influence of system elements;secondly, the course is based on a qualimetric approach to assess the reliability of the activity and the economic results of this activity;thirdly, the computer modeling used is focused on optimization with the use of economic criteria of activity, while observing the requirements of ergonomic norms and standards. Functional networks developed by the scientific school "Efficiency, Reliability, and Quality of Ergotechnical Systems" by Professor Anatoly Ilyich Gubinsky were used as a methodological basis for modeling and optimization of activities. © The Authors, published by EDP Sciences, 2020.

关键词： Ergonomics

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On the Security of Cryptographic Protocols Using the Little Theorem of Witness Functions

On the Security of Cryptographic Protocols Using the Little ...

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2019 IEEE Canadian Conference of Electrical and computer engineering, CCECE 2019

作者： Fattahi, Jaouhar Mejri, Mohamed Pricop, Emil Department of Computer Science and Software Engineering Laval University Pavillon Adrien-Pouliot local 3766 Quebec city Canada Automatic Control Computers and Electronics Department Petroleum-Gas University Ploiesti Romania

ISBN: (纸本)9781728103198

In this paper, we show how practical the little theorem of witness functions is in detecting security flaws in some categories of cryptographic protocols. We convey a formal analysis of the Needham-Schroeder symmetric-key protocol in the theory of witness functions. We show how it helps to warn about a security vulnerability in a given step of this protocol where the value of security of a sensitive ticket in a sent message unexpectedly decreases compared with its value when received. This vulnerability may be exploited by an intruder to mount a replay attack as described by Denning and Sacco. © 2019 IEEE.

关键词： Cryptography

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Data augmentation of IMU signals and evaluation via a semi-supervised classification of driving behavior

arXiv

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arXiv 2020年

作者： Jaafer, Amani Nilsson, Gustav Como, Giacomo Stockholm Sweden School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States Department of Mathematical Sciences Politecnico di Torino Italy Department of Automatic Control Lund University Sweden

Over the past years, interest in classifying drivers’ behavior from data has surged. Such interest is particularly relevant for car insurance companies who, due to privacy constraints, often only have access to data from Inertial Measurement Units (IMU) or similar. In this paper, we present a semi-supervised learning solution to classify portions of trips according to whether drivers are driving aggressively or normally based on such IMU data. Since the amount of labeled IMU data is limited and costly to generate, we utilize Recurrent Conditional Generative Adversarial Networks (RCGAN) to generate more labeled data. Our results show that, by utilizing RCGAN-generated labeled data, the classification of the drivers is improved in 79% of the cases, compared to when the drivers are classified with no generated data. Copyright © 2020, The Authors. All rights reserved.

关键词： Generative adversarial networks

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