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arXiv 2021年

作者： Dressler, Falko Chiasserini, Carla Fabiana Fitzek, Frank H.P. Karl, Holger Cigno, Renato Lo Capone, Antonio Casetti, Claudio Malandrino, Francesco Mancuso, Vincenzo Klingler, Florian Rizzo, Gianluca The School of Electrical Engineering and Computer Science TU Berlin Berlin Germany The Dept. of Electronics and Telecommunications Politecnico di Torino Torino Italy The School of Engineering Sciences as well as the Excellence Cluster CeTI TU Dresden Dresden Germany The Hasso-Plattner-Institute Potsdam Germany The Dept. of Information Engineering University of Brescia Brescia Italy The Dept. of Electronics Information and Bioengineering Politecnico di Milano Milano Italy The Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy The Institute of Electronics Computer and Communication Engineering of the National Research Council of Italy Torino Italy IMDEA Networks Madrid Spain The Dept. of Computer Science Paderborn University Paderborn Germany The Research Institute of Information Systems HES-SO Valais-Wallis Switzerland University of Foggia Italy

As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: instead of sending all data and tasks from an end user's device to the cloud, possibly covering thousands of kilometers and introducing delays that are just owed to limited propagation speed, edge servers deployed in close proximity to the user, e.g., at some 5G gNB, serve as proxy for the cloud. Yet this promising idea is hampered by the limited availability of such edge servers. In this paper, we discuss a way forward, namely the virtual edge computing (V-Edge) concept. V-Edge bridges the gap between cloud, edge, and fog by virtualizing all available resources including the end users' devices and making these resources widely available using well-defined interfaces. V-Edge also acts as an enabler for novel microservices as well as cooperative computing solutions. We introduce the general V-Edge architecture and we characterize some of the key research challenges to overcome, in order to enable wide-spread and even more powerful edge services. Copyright © 2021, The Authors. All rights reserved.

关键词： Edge computing

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Respiratory Pattern Analysis for Different Breathing Types and Recording Sensors in Healthy Subjects

Respiratory Pattern Analysis for Different Breathing Types a...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Jordi Solà-Soler Daniel Romero Pérez Leon Balchin Arantxa Mas Serra Manel Lujan Torné Melinda R. Popoviciu Koborzan Beatriz F. Giraldo Giraldo Automatic Control Dept. (ESAII) the Barcelona East School of Engineering (EEBE) Institute for Bioengineering of Catalonia (IBEC) – The Barcelona Institute of Science and Technology and CIBER de Bioingeniería Biomateriales y Nanomedicina (CIBER-BBN) Universitat Politècnica de Catalunya (UPC) Barcelona Spain Institute for Bioengineering of Catalonia (IBEC) ESAII Universitat Politècnica de Catalunya (UPC) Intensive Medicine Service Moisès Broggi Hospital Sant Joan d’Espí Barcelona Spain Pneumology Service Parc Taulí University Hospital Universitat Autònoma de Barcelona

Accurate monitoring of respiratory activity can lead to early identification and treatment of possible respiratory failure. However, spontaneous breathing can vary considerably. To quantify this variability, this study aimed at comparing the breathing pattern characteristics obtained from several recording sensors during different breathing types. Respiratory activity was recorded with a pneumotachograph and two inductive plethysmographic bands, thoracic and abdominal, in 23 healthy volunteers (age 21.5±1.2 years, 13 females). The subjects were asked to breathe at their natural rate, in successive stages: first freely, then through their nose, nose and mouth, mouth alone, and finally deep and shallow. Both band signals were compared to the pneumotach-derived (gold standard) volume signal. The time series of inspiratory and expiratory duration, total cycle duration and tidal volume were estimated from each of these signals, and also from the sum of the thoracic and abdominal bands. This composite signal showed the highest correlation with the volume signal for almost all subjects, and also had a significantly higher correlation with those obtained from the gold standard volume, compared to either band. In general, breathing parameters increased from basal to nose-mouth breathing, had a minimum in shallow breathing and a maximum in deep breathing. Women exhibited a significantly longer exhalation phase than men during deep breathing, in the combined bands and the gold standard volume. In conclusion, variations in respiratory cycle morphology in different breathing types can be well captured by the simple addition of abdominal and thoracic band *** Relevance— Breathing pattern variability can be identified by the combination of abdominal and thoracic bands.

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Dynamic Resilient Graph Games for State-Dependent Jamming Attacks Analysis on Multi-Agent Systems

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IFAC-PapersOnLine 2020年第2期53卷 3421-3426页

作者： Yurid Nugraha Ahmet Cetinkaya Tomohisa Hayakawa Hideaki Ishii Quanyan Zhu Dept. of Systems and Control Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan Information Systems Architecture Science Research Division National Institute of Informatics Tokyo 101-8430 Japan Dept. of Computer Science Tokyo Insitute of Technology Yokohama 226-8502 Japan Dept. of Electrical and Computer Engineering New York University Brooklyn NY 11201 USA

A cybersecurity problem for a multi-agent consensus problem is investigated through a dynamic game formulation. Specifically, we consider a game repeatedly played between a jamming attacker and a defender. The attacker attempts to jam the links between a number of agents to delay their consensus. On the other hand, the defender tries to maintain the connection between agents by attempting to recover some of the jammed links with the goal of achieving faster consensus. In each game, the players decide which links to attack/recover and for how long to continue doing so based on a Lyapunov-like function representing the largest difference between the states of the agents. We analyze the subgame perfect equilibrium of the game and obtain an upper bound of the consensus time that is influenced by the strategies of the players. The results are illustrated with a numerical example.

关键词： Multi-agent systems Consensus problem Game theory Cybersecurity

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Procedia computer science 2020年 170卷 59-66页

作者： A. Boulmakoul Z. Fazekas L. Karim P. Gáspár G. Cherradi Computer Sc. Dept. FSTM Hassan II University of Casablanca Morocco Institute for Computer Science and Control (SZTAKI) Budapest Hungary LISA Lab. ENSA Berrechid Hassan I University Morocco

The road environment recognition using embedded technologies has been researched intensively recently. Several papers deal with the detection of the urban road environment-type (RET), such as downtown, residential area, and business/industrial area. These RETs can characterize the road environment around an ego-car. A RET detection approach taking into account relevant traffic signs (TSs) that are visible from the ego-car – along its route – was also proposed. It was assumed that the TS data, namely the type and the location of each detected TS along the route, was made available for the purpose by an on-board TS recognition system (TSR). The TS data is constantly updated, aggregated and evaluated in a multi-scale manner by a RET detection system, so one can produce a probability series of occurrence of each TS type with respect to each of the considered urban RETs. In the present paper, we develop a heuristic for dynamic RET detection using fuzzy similarities on a special graph. We also propose the generic process of this approach, which will be the subject of further development and testing.

关键词： Smart mobility smart road vehicles road environment-type detection fuzzy set theory reactive systems machine learning

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KPIs for Manufacturing Operations Management: driving the ISO22400 standard towards practical applicability

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IFAC-PapersOnLine 2018年第11期51卷 7-12页

作者： Varisco, Martina Johnsson, Charlotta Mejvik, Jacob Schiraldi, Massimiliano M. Zhu, Li Dept. of Enterprise Engineering “Tor Vergata” University of Rome Rome Italy Dept. of Automatic Control Lund University Lund Sweden Dept. of Control Science and Engineering Dalian University of Technology guest researcher at Department of Automatic Control Lund University Dalian China

A set of key performance indicators (KPIs) for manufacturing operation management is introduced in the ISO 22400 standard. However, KPIs are only defined at a high abstraction level and this hampers the standard's practical adoption. In this paper, a framework is introduced in order to solve this weakness. Starting from the analysis of the relevant measurements used in the KPIs’ formulas, a classification model is introduced defining three possible application scopes - work orders, work units and production orders - to analyze each basic element of the standard. As a result, the KPIs defined in the ISO 22400 standard are more precisely specified and, as a consequence, also suitable to be straightforwardly implemented in performance measurement systems. © 2018

关键词： ISO Standards Benchmarking Manufacture Supply chain management Enterprise system ISO 22400 Key performance indicators Operations management Performance evaluations

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On the Role of Models in Learning control: Actor-Critic Iterative Learning control

arXiv

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arXiv 2020年

作者： Poot, Maurice Portegies, Jim Oomen, Tom Control Systems Technology Group Dept. of Mechanical Engineering Eindhoven University of Technology Eindhoven Netherlands CASA Dept. of Mathematics and Computer Science Eindhoven University of Technology Eindhoven Netherlands

Learning from data of past tasks can substantially improve the accuracy of mechatronic systems. Often, for fast and safe learning a model of the system is required. The aim of this paper is to develop a model-free approach for fast and safe learning for mechatronic systems. The developed actor-critic iterative learning control (ACILC) framework uses a feedforward parameterization with basis functions. These basis functions encode implicit model knowledge and the actor-critic algorithm learns the feedforward parameters without explicitly using a model. Experimental results on a printer setup demonstrate that the developed ACILC framework is capable of achieving the same feedforward signal as preexisting model-based methods without using explicit model knowledge. Copyright © 2020, The Authors. All rights reserved.

关键词： Learning algorithms

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Formation control and Target Interception for Multiple Multi-rotor Aerial Vehicles

Formation Control and Target Interception for Multiple Multi...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： George C. Karras Charalampos P. Bechlioulis George K. Fourlas Kostas J. Kyriakopoulos Dept. of Computer Science and Telecommunications University of Thessaly Lamia Greece Control Systems Lab National Technical University of Athens Athens Greece

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In this paper, we present a distance-based formation control strategy for multiple multi-rotor aerial vehicles participating in a target interception mission. The target moves arbitrarily, following a smooth 3D trajectory, while the intercepting vehicles aim at establishing a predefined enclosing formation around it, by attaining specific distances among them and simultaneously avoiding inter-agent collisions and connectivity breaks. More specifically, we propose a decentralized motion control protocol based on the prescribed performance control notion, which is of low computational complexity and is able to achieve robust and accurate formation establishment. Each agent requires local and relative state feedback, which can be acquired by a common onboard sensor suite without necessitating for explicit network communication. A realistic simulation study with one target and four multi-rotor interceptors was conducted to prove the efficacy of the proposed strategy.

关键词： Trajectory Torque Robustness Task analysis Multi-agent systems Drag Vehicle dynamics

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Target Tracking with Multi-rotor Aerial Vehicles based on a Robust Visual Servo controller with Prescribed Performance

Target Tracking with Multi-rotor Aerial Vehicles based on a ...

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International Conference on Unmanned Aircraft Systems (ICUAS)

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In this paper, we present an image-based visual servo control scheme for tracking a moving target using a multirotor aerial vehicle. The proposed scheme is based on the prescribed performance control notion and it is able to impose appropriately selected performance specifications on the image feature errors to satisfy visibility constraints arising from the camera limited field of view, while exhibiting robustness against calibration and dept. estimation errors. The proposed controller is of low complexity and computational cost and thus can be easily implemented on the embedded control unit of an autonomous aerial vehicle. The resulting scheme has analytically guaranteed stability and convergence properties, while its applicability and performance are verified via a realistic simulation scenario, where a quadrotor successfully tracks a visual target located on top of a moving mobile robot.

关键词： Cameras Visual servoing Target tracking Visualization Torque Robustness Servosystems

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Modified indexing algorithm based on priority queue in metric space for MVP tree 4

Modified indexing algorithm based on priority queue in metri...

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4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020

作者： Fomin, Vladimir Aleksandrov, Igor Gallyamov, Denis Kirichek, Ruslan Dept. of Information Systems Herzen State Pedagogical University of Russia Saint Petersburg Russia Dept. of Software Engineering and Computer Science Bonch-Bruevich Saint Petersburg State University of Telecommunications Saint Petersburg Russia Bonch-Bruevich Saint Petersburg State University of Telecommunications Saint Petersburg Russia V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781450388863

The Internet of Things (IoT) algorithms process huge amounts of heterogeneous data in real-time. One of the most computationally intensive tasks using cloud technologies is the task of clustering and classifying data. The authors propose to develop an approach to data classification within the "Query by Similarity"paradigm, which uses the technology of data indexing based on Metric Access Methods (MAM). To improve the performance of data indexing, this paper proposes a similar nearest neighbor search method combining a multiple vantage point tree (MVP) and improved algorithms for processing the priority queue of nodes. The following two algorithms for processing the priority queue of nodes were developed: 1) algorithm for all kinds of points-queries, which makes it possible to take into account parent nodes of all higher levels;2) algorithm for grouped based on clustering of points-queries by reusing previously obtained search results. Experimental results confirm the effectiveness of the proposed approaches and algorithms. © 2020 ACM.

关键词： Nearest neighbor search

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Dynamic Privacy-preserving Collaborative Schemes for Average Computation

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IFAC-PapersOnLine 2020年第2期53卷 2963-2968页

作者： Xin Wang Hideaki Ishii Jianping He Peng Cheng State Key Lab. of Industrial Control Technology Zhejiang University Hangzhou 310027 China Dept. of Computer Science Tokyo Institute of Technology Yokohama 226-8502 Japan Dept. of Automation Shanghai Jiao Tong University Shanghai 200240 China

In this paper, we consider the privacy-preserving problem in collaborative computing. Based on a two-step average computation framework, we propose three privacy-aware schemes, all of which achieve different levels of privacy protections depending on data servers’ trust degrees. Further, by carefully designing noises injected to the distributed computing process, we obtain dynamic privacy-preserving schemes, whose privacy preserving levels are measured by Kullback-Leibler differential privacy. In addition, we prove that the proposed schemes achieve convergence in different senses. Numerical experiments are finally conducted to verify the obtained privacy properties and convergence guarantees.

关键词： Collaborative computing dynamic privacy average consensus convergence

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