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Fine-tuning calibration of deterministic propagation models in UHF band

IOP Conference Series: Materials science and Engineering 2019年第1期524卷

作者： G Militaru D Popescu L Ichim Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Bucharest Romania

A global characterization of the propagation behaviour that will allow a general approach of the Radio Frequency (RF) prediction is difficult to achieve. In this paper, based on field strength values collected in typical rural environment, the authors are providing their findings after the calibration of a deterministic propagation model in Ultra High Frequency (UHF) frequency band. An evaluation of the error sources, and methods to validate RF antenna pattern, are described. The proposed methodology was used to obtain the measurements that allow the correlation with prediction data.

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Quantum computing for clustering big datasets

Quantum computing for clustering big datasets

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Applications of Electromagnetics in Modern Techniques and Medicine (PTZE)

作者： Kamil Wereszczyński Agnieszka Michalczuk Henryk Josiński Andrzej Polański Institute of Informatics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

The authors present the technology of quantum computing along with examples of two quantum computers - IBM-Q and D-Wave. Preliminary results of a novel method of data clustering suitable for implementing on adiabatic ... 详细信息

ISBN: (纸本)9781538669372

关键词： Logic gates Computational modeling Integrated circuit modeling Informatics computer science

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Modelling and control of a Flexible Floating Boom: First Approach

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IFAC-PapersOnLine 2017年第1期50卷 13108-13113页

作者： Gapingsi, G.E. Korbas, R. Santos, M. Computer Architecture and Automatic Control Department Computer Science Faculty Complutense University of Madrid C/ Profesor García Santesmases 9 Madrid28040 Spain

Floating booms are useful tools in the marine world, especially for marine demarcation where some kind of contamination of sea, ocean or coastal water is present. In this work we have developed a mathematical model for a flexible floating boom which is hooked on two boats (unmanned surface vehicles). It is meant to be used for oil spill containment in marine areas. In order to simplify the model and to make possible its computer simulation, we have adopted a quasi-static approximation where we assume that the inertial forces are small compared to the drag forces applied to the boom. The simulation of this mathematical model has allowed the analysis of the behavior of the floating boom. Based on this knowledge, we have designed a control system which allows us to maintain the flexible floating boom in a specific configuration by controlling its shape. For that purpose, the control approach deals with the speed of the two ends of the floating boom. The results obtained with the implemented control system are encouraging, considering the model is a simplified discrete one and the control effort is reasonable. © 2017

关键词： Marine pollution control systems Drag Knowledge based systems Models Oil spills Unmanned surface vehicles control approach Floating boom Inertial forces Knowledge based control Modelling and controls Quasistatic approximations Simulation Spill containment

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Complex issues in regulator designing

Complex issues in regulator designing

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2018 International Russian Automation Conference, RusAutoCon 2018

作者： Zhmud, Vadim A. Hardt, Wolfram Dimitrov, Lubomir V. Roth, Hubert Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Computer Science Chemnitz University of Technology Chemnitz Germany Technical University of Sofia Sofia Bulgaria Department of Automatic Control Engineering University of Siegen Siegen Germany

ISBN: (纸本)9781538649381

The problem of control object with the use of feedback loop is extremely relevant, because only this method provides for the accurate control. It happened that the theory of automatic control paid much attention to the methods of regulators design based on mathematical transformations, using a mathematical model of the object. It describes the transformation of an input signal into an output signal inside the object. The methods were imperfect, so one of the following simplification methods was the most frequently used: the mathematical model of the object was simplified, or the calculations were carried out with approximation, for example, the oscillations in the system were studied by the amplitude and phase of the first harmonic only. Therefore, the result of using such regulators in practice did not exactly correspond to the theory provisions. To get mathematical and experimental basis of system developer tool, a solution of the elementary sub-problems was required. Among them there are tasks of the control of an object of the first and second order. Today the situation has changed. There is a means of sufficiently accurate mathematical modeling of the behavior of the system consisting of the loop with an object and a regulator. There are software and mathematical means for regulator calculating by the method of numerical optimization. Now there is sufficient software for calculating the regulators of the object, having a rather complex mathematical model. However, this did not change the situation. A lot of articles are still published, in which it is suggested performing additional fine tuning to achieve the required parameters after calculating the regulator and its technical implementation. Quite a big number of articles is still being published;they consider the methods of the empirical tuning of regulators based on the parameters of the transient process with a given fixed gain coefficient. This situation demonstrates insufficient using of the important th

关键词： Mathematical transformations

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Learning a robust society of tracking parts using co-occurrence constraints

arXiv

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arXiv 2018年

作者： Burceanu, Elena Leordeanu, Marius Bitdefender Romania Institute of Mathematics of the Romanian Academy Mathematics and Computer Science University of Bucharest Romania Automatic Control and Computer Science University Politehnica of Bucharest

Object tracking is an essential problem in computer vision that has been researched for several decades. One of the main challenges in tracking is to adapt to object appearance changes over time and avoiding drifting to background clutter. We address this challenge by proposing a deep neural network composed of different parts, which functions as a society of tracking parts. They work in conjunction according to a certain policy and learn from each other in a robust manner, using cooccurrence constraints that ensure robust inference and learning. From a structural point of view, our network is composed of two main pathways. One pathway is more conservative. It carefully monitors a large set of simple tracker parts learned as linear filters over deep feature activation maps. It assigns the parts different roles. It promotes the reliable ones and removes the inconsistent ones. We learn these filters simultaneously in an efficient way, with a single closed-form formulation, for which we propose novel theoretical properties. The second pathway is more progressive. It is learned completely online and thus it is able to better model object appearance changes. In order to adapt in a robust manner, it is learned only on highly confident frames, which are decided using co-occurrences with the first pathway. Thus, our system has the full benefit of two main approaches in tracking. The larger set of simpler filter parts offers robustness, while the full deep network learned online provides adaptability to change. As shown in the experimental section, our approach achieves state of the art performance on the challenging VOT17 benchmark, outperforming the published methods both on the general EAO metric and in the number of fails, by a significant margin. Copyright © 2018, The Authors. All rights reserved.

关键词： Deep neural networks

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Fault tolerant consensus protocol for distributed database transactions 17

Fault tolerant consensus protocol for distributed database t...

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2017 International Conference on Management Engineering, Software Engineering and Service sciences, ICMSS 2017

作者： Rafailescu, Marius Petrescu, Mircea Stelian Faculty of Automatic Control and Computer Science POLITEHNICA University Bucharest Romania

ISBN: (纸本)9781450348348

Defining a protocol for commit consensus problem in distributed database transactions is not an easy task because we have to think about a fault tolerant system. In this paper, I present a fault tolerant and simple mechanism designed for solving commit consensus problem, based on replicated validation of messages sent between transaction participants. © 2017 ACM.

关键词： Fault tolerance

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The mapping between TFD and IEEE 802.11 user priorities and access categories 32nd

The mapping between TFD and IEEE 802.11 user priorities and ...

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32nd International Symposium on computer and Information sciences, ISCIS 2018 Held at the 24th IFIP World computer Congress, WCC 2018

作者： Chodorek, Robert R. Chodorek, Agnieszka Department of Telecommunications AGH University of Science and Technology Al. Mickiewicza 30 Krakow30-059 Poland Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Al. Tysiaclecia P.P. 7 Kielce25-314 Poland

ISBN: (纸本)9783030008390

The modern approach to the quality of service (QoS) claims that problems of assurance of the required QoS parameters may occur not only in core networks (as the classic approach assumes), but also in access networks (including local networks, or LANs), especially if the access network is of broadcast type, such as the IEEE 802.11 wireless LAN. In the case of broadcast LANs, QoS assurance in the network layer should be associated with the QoS assurance in the data link layer. The aim of this paper is to propose such an association between the 802.11 QoS assurance and the QoS assurance based on the Traffic Flow Description (TFD) option of the IP protocol. The TFD was specified by the Authors in the IETF’s working document (Internet Draft), and was intended to describe Internet traffic for the purpose of dynamic resource reservations. The TFD-based QoS assurance offers dynamic reservations for micro-flows (single data real-time streams or non-real-time flows). The proposed method associates TFD and 802.11 QoS architectures in a way similar to the association of the DiffServ architecture and the 802.11 QoS, i.e. by the mapping of corresponding signalling. This mapping was designed and then implemented by the Authors in a Linux kernel. Results of laboratory experiments carried out in a test network show that the proposed mappings sufficiently promote traffic described by the TFD option in 802.11 WLAN and protect it against degradation. The proposed method includes the mapping of static signalling. Mapping of dynamic information conveyed in the TFD option is also possible and will be a subject of further research. The mapping between TFD and IEEE 802.11 user priorities and access categories will allow a 802.11 network to preserve TFD-based QoS in wireless links. © Springer Nature Switzerland AG 2018.

关键词： Quality of service

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Estimating the impact of cyber-attack strategies for stochastic control systems

arXiv

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arXiv 2018年

作者： Milošević, Jezdimir Sandberg, Henrik Johansson, Karl Henrik Department of Automatic Control School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

Risk assessment is an inevitable step in implementation of a cyber-defense strategy. An important part of this assessment is to reason about the impact of possible attacks. In this paper, we propose a framework for estimating the impact of cyber-attacks in stochastic linear control systems. The framework can be used to estimate the impact of denial of service, rerouting, sign alternation, replay, false data injection, and bias injection attacks. For the stealthiness constraint, we adopt the Kullback-Leibler divergence between residual sequences during the attack. Two impact metrics are considered: (1) The probability that some of the critical states leave a safety region;and (2) The expected value of the infinity norm of the critical states. For the first metric, we prove that the impact estimation problem can be reduced to a set of convex optimization problems. Thus, the exact solution can be found efficiently. For the second metric, we derive an efficient to calculate lower bound. Finally, we demonstrate how the framework can be used for risk assessment on an example. Copyright © 2018, The Authors. All rights reserved.

关键词： Risk assessment

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A tube-based MPC scheme for interaction control of underwater vehicle manipulator systems

arXiv

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arXiv 2018年

作者： Nikou, Alexandros Verginis, Christos K. Dimarogonas, Dimos V. Department of Automatic Control School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

Over the last years, the development of Autonomous Underwater Vehicles (AUV) with attached robotic manipulators, the so-called Underwater Vehicle Manipulator System (UVMS), has gained significant research attention, due to the ability of interaction with underwater environments. In such applications, force/torque controllers which guarantee that the end-effector of the UVMS applies desired forces/torques towards the environment, should be designed in a way that state and input constraints are taken into consideration. Furthermore, due to their complicated structure, unmodeled dynamics as well as external disturbances may arise. Motivated by this, we proposed a robust Model Predicted control Methodology (NMPC) methodology which can handle the aforementioned constraints in an efficient way and it guarantees that the end-effector is exerting the desired forces/torques towards the environment. Simulation results verify the validity of the proposed framework. Copyright © 2018, The Authors. All rights reserved.

关键词： Manipulators

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Learning Capsules for Vehicle Logo Recognition

Learning Capsules for Vehicle Logo Recognition

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International Conference on Information Fusion

作者： Ruilong Chen Md Asif Jalal Lyudmila Mihaylova Roger K Moore Department of Automatic Control and Systems Engineering University of Sheffield UK Department of Computer Science University of Sheffield UK

Vehicle logo recognition is an important part of vehicle identification in intelligent transportation systems. State-of-the-art vehicle logo recognition approaches use automatically learned features from Convolutional Neural Networks (CNNs). However, CNNs do not perform well when images are rotated and very noisy. This paper proposes an image recognition framework with a capsule network. A capsule is a group of neurons, whose length can represent the existence probability of an entity or part of an entity. The orientation of a capsule contains information about the instantiation parameters such as positions and orientations. Capsules are learned by a routing process, which is more effective than the pooling process in CNNs. This paper, for the first time, develops a capsule learning framework in the field of intelligent transportation systems. By testing with the largest publicly available vehicle logo dataset, the proposed framework gives a quick solution and achieves the highest accuracy (100%) on this dataset. The learning capsules have been tested with different image changes such as rotation and occlusion. Image degradations including blurring and noise effects are also considered, and the proposed framework has proven to be superior to CNNs.

关键词： Kernel Neurons Routing Biological neural networks Feature extraction Intelligent transportation systems Robustness

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