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International Workshop/Symposium on Distributed Simulation and Real-Time Applications (DS-RT)

作者： Agnieszka Chodorek Robert R. Chodorek Krzysztof Wajda 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

In this paper we propose a flying IoT system designed to monitor parking lot. The system is composed of a flying mobile station and a terrestrial station. The mobile station consists of visual monitoring camera associated with air quality monitoring sensors, mounted on a Turnigy SK450 quad copter controlled with Pixhawk autopilot hardware. Data gathered from the monitoring system are transmitted to an IoT broker running on a Raspberry Pi 3+ microcontroller, also mounted on a drone, that aggregates data into a common flow and retransmits them to the terrestrial station. The transmission system was build according to WebRTC architecture. In order to assure separation of the production network (for transmission of application data) and the management network (for management and control purposes), two different transmission channels are used: one for the WebRTC transmission and the other for controlling the drone. The paper includes a description of the system and the results of field trials carried out on the parking lot of the AGH University of technology.

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On noise-to-state stability of stochastic discrete-time systems via finite-step Lyapunov functions

On noise-to-state stability of stochastic discrete-time syst...

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IEEE Annual Conference on Decision and control

作者： Navid Noroozi Roxanne Jackson Daniel E. Quevedo Fabian R. Wirth Rolf Findeisen Laboratory for Systems Theory and Automatic Control Ottovon-Guericke University Magdeburg Magdeburg Germany Faculty of Computer Science and Mathematics University of Passau Passau Germany Faculty of Computer Science Electrical Engineering and Mathematics University of Paderborn Paderborn Germany

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

In this paper, we introduce a notion of so-called finite-step simulation functions for discrete-time control systems. In contrast to the existing notions of simulation functions, a finite-step simulation function does not need decay at each time step but after some finite numbers of steps. We show that the existence of such a function guarantees that the mismatch between output trajectories of the concrete and abstract systems lies within an appropriate bound. Using this relaxation, we develop a new type of small-gain conditions which are less conservative than those previously used for compositional construction of approximate abstractions of interconnected control systems. In particular, using finite-step simulation functions, it is possible to construct approximate abstractions, where stabilizability of each subsystem is not necessarily required. The effectiveness of our results is verified by an illustrative example.

关键词： Stability analysis Lyapunov methods Asymptotic stability Stochastic systems Nonlinear systems Covariance matrices Discrete-time systems

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Preface

Lecture Notes in Control and Information Sciences

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Lecture Notes in control and Information Sciences 2021年 485卷 v-viii页

作者： Faulwasser, Timm Müller, Matthias A. Worthmann, Karl Department of Electrical Engineering and Information Technology Institute of Energy Systems Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany Faculty of Electrical Engineering and Computer Science Institute of Automatic Control Leibniz University Hannover Hannover Germany Faculty of Mathematics and Natural Sciences Institute for Mathematics Optimization-based Control Technische Universität Ilmenau Ilmenau Germany

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Deep learning based switching filter for impulsive noise removal in color images

arXiv

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arXiv 2019年

作者： Radlak, Krystian Malinski, Lukasz Smolka, Bogdan Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44100 Faculty of Materials Engineering and Metallurgy Silesian University of Technology Krasinskiego 8 Katowice40-019

Noise reduction is one the most important and still active research topic in low-level image processing due to its high impact on object detection and scene understanding for computer vision systems. Recently, we can observe a substantial increase of interest in the application of deep learning algorithms in many computer vision problems due to its impressive capability of automatic feature extraction and classification. These methods have been also successfully applied in image denoising, significantly improving the performance, but most of the proposed approaches were designed for Gaussian noise suppression. In this paper, we present a switching filtering design intended for impulsive noise removal using deep learning. In the proposed method, the impulses are identified using a novel deep neural network architecture and noisy pixels are restored using the fast adaptive mean filter. The performed experiments show that the proposed approach is superior to the state-of-the-art filters designed for impulsive noise removal in digital color images. Copyright © 2019, The Authors. All rights reserved.

关键词： Image enhancement

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Green Energy Sources: Issues and Challenges

Green Energy Sources: Issues and Challenges

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Roedunet International Conference (RoEduNet)

作者： Mostafa Abdulghafoor Mohammed Inas Adnan Mohammed Raed.A. Hasan Nicolae Ţăpuş Ahmed Hussien Ali Omar A. Hammood Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania The Great Emam University College Baghdad University of Information Technology and Communications / college of Engineering/ Baghdad Iraq Faculty of Al-dour Technical institute Northern Technical University Mosel IRAQ Faculty of Automatic Control and Computers University Polytechnic of Bucharest/Romania Computer Science Department AL Salam University College Baghdad Iraq Faculty of Computer Systems and Software Engineering UniversityMalaysia Pahang Malaysia

Mobile offloading is a platform that facilitates the distribution of computationally intensive tasks from mobile devices to the cloud or other devices in order to conserve energy and improve performance. The concept is practically based on the idea of exchanging relatively low communication energy for high computation power utilization. Efforts have been channeled towards energy conservation by clusters using Dynamic Power Management (DPM). This paper is a review for green energy sources for reducing energy and using energy consumption to manage sources by stating the latest studies of energy consumption and energy consumptions.

关键词： Energy consumption Task analysis Servers Energy efficiency Power system management Voltage control Cloud computing

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Brain Mapping using a Blockchain Approach

Brain Mapping using a Blockchain Approach

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E-Health and Bioengineering Conference (EHB)

作者： Felix-Constantin Adochiei Radu Ciucu Ioana Raluca Adochiei Florin Ciprian Argatu Bogdan Enache Casian Miron George Seritan Faculty of Electrical Engineering University Politehnica of Bucharest Romania Department of Aircraft Integrated Systems and Mechanics Military Technical Academy "Ferdinand I" Bucharest Romania Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Romania

In this paper we propose a pipeline for brain mapping using a decentralized database with a blockchain architecture. We use a two-layer model for a distributed imaging data ledger capable of version control and authoring augmented data. Our platform is capable of direct volume rendering inside a browser window using WebGL. The data visualization pipeline allows for real-time multi-intensity transfer functions and global opacity of a given imaging recording. The platform is intended as a collaboration tool for multiple imaging laboratories and institutes and aims to help in organizing augmented data and multiple level-of-detail recordings used on a wide array of devices. We believe our platform will aid in brain mapping efforts for classification, measurement and visualization of cortical structures trough the aid of virtual reality and a scalable backend based on a standard blockchain technology.

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Automated Hydrogel Porosity Analysis based on Scanning Electron Microscopy Image Processing

Automated Hydrogel Porosity Analysis based on Scanning Elect...

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E-Health and Bioengineering Conference (EHB)

作者： Tiberius Dumitriu Raluca Petronela Dumitriu Vasile-Ion Manta Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Iasi Romania Physical Chemistry of Polymers Department "Petru Poni" Institute of Macromolecular Chemistry Iasi Romania

In this paper an automated image analysis approach is proposed in order to investigate thoroughly the porosity, a morphological feature specific for hydrogel polymeric systems. The structure and morphology of the porous mixed interpenetrated networks based on poly (N-isopropylacryl amide) and alginate prepared with different mixing ratios and various crosslinking agent concentrations were evidenced by scanning electron microscopy (SEM). Automated characterization of porosity was accomplished using image acquisition, features extraction, and classification over the images acquired. Two different image processing methods were used in order to analyze the size and distribution of the pores within studied hydrogels. One method is based on the Gaussian model and for the second method a new technique is proposed, which uses a J criterion inspired by the JSEG color image segmentation algorithm. The results obtained showed the efficiency of these methods to determine hydrogels porosity in a fast and accurate manner.

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Privacy of Real-Time Pricing in Smart Grid

Privacy of Real-Time Pricing in Smart Grid

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IEEE Annual Conference on Decision and control

作者： Mahrokh GhoddousiBoroujeni Dominik Fay Christos Dimitrakakis Maryam Kamgarpour Department of Electrical Engineering Sharif University of Technology Iran EECS school KTH Royal Institute of Technology Sweden Computer Science and Engineering faculty Chalmers University of Technology Sweden Automatic Control Laboratory ETH Zurich Switzerland

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Installing smart meters to publish real-time electricity rates has been controversial while it might lead to privacy concerns. Dispatched rates include fine-grained data on aggregate electricity consumption in a zone and could potentially be used to infer a household's pattern of energy use or its occupancy. In this paper, we propose Blowfish privacy to protect the occupancy state of the houses connected to a smart grid. First, we introduce a Markov model of the relationship between electricity rate and electricity consumption. Next, we develop an algorithm that perturbs electricity rates before publishing them to ensure users' privacy. Last, the proposed algorithm is tested on data inspired by household occupancy models and its performance is compared to an alternative solution.

关键词： Hidden Markov models Privacy Data models Real-time systems Data privacy Pricing Smart grids

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Local search algorithms for memetic algorithms: understanding behaviors using biological intelligence

Local search algorithms for memetic algorithms: understandin...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Beatrice Luca Mitica Craus Department of Computer Science Faculty of Automatic Control and Computer Engineering Iasi Romania

Memetic Algorithms (MAs) are a class of stochastic global search heuristics in which Evolutionary Algorithms (EAs) - based approaches are combined usually with heuristic local searches. This hybridization is meant to reach solutions that would otherwise be unreachable by evolution or a local method alone. In this work, we propose three Local Search (LS) algorithms for hybridization with an existing Evolutionary Algorithm with Pareto ranking in order to define biological intelligence using the concepts of useful and utility and therefore to zoom on the basin of attraction of promising realistic solutions. Our experimental results with these memetic algorithms in the game of Checkers show how we can learn the organization of behaviors into paths of behaviors of different lengths and frequencies and then reveal the true nature of these behaviors.

关键词： Correlation Sociology Memetics Optimization Ice

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Privacy of real-time pricing in smart grid

arXiv

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arXiv 2019年

作者： GhoddousiBoroujeni, Mahrokh Fay, Dominik Dimitrakakis, Christos Kamgarpour, Maryam Department of Electrical Engineering Sharif University of Technology Iran EECS school KTH Royal Institute of Technology Sweden Computer Science and Engineering faculty Chalmers University of Technology Sweden Automatic Control Laboratory D-ITET ETH Zurich Switzerland

关键词： Electric power utilization

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