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arXiv 2020年

作者： Mehrjou, Arash Iannelli, Andrea Schölkopf, Bernhard Empirical Inference Department of Max Planck Institute for Intelligent Systems Tübingen Germany Department of Computer Science ETH Zürich Faculty of Electrical Engineering Zürich Switzerland Department of Electrical Engineering Automatic Control Lab ETH Zürich8092 Switzerland Empirical Inference Department of Max Planck Institute for Intelligent Systems Tübingen Germany

A coupled computational approach to simultaneously learn a vector field and the region of attraction of an equilibrium point from generated trajectories of the system is proposed. The nonlinear identification leverages the local stability information as a prior on the system, effectively endowing the estimate with this important structural property. In addition, the knowledge of the region of attraction plays an experiment design role by informing the selection of initial conditions from which trajectories are generated and by enabling the use of a Lyapunov function of the system as a regularization term. Numerical results show that the proposed method allows efficient sampling and provides an accurate estimate of the dynamics in an inner approximation of its region of attraction. Copyright © 2020, The Authors. All rights reserved.

关键词： Lyapunov functions

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Colour histogram analysis for skin lesions discrimination 19

Colour histogram analysis for skin lesions discrimination

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19th International Multidisciplinary Scientific Geoconference, SGEM 2019

作者： Damian, Felicia Anisoara Moldovanu, Simona Moraru, Luminita Faculty of Sciences and Environment Dunarea de Jos University of Galati Galati Romania Department of Computer Science and Information Technology Technical College Dumitru Motoc Galati Galati Romania Faculty of Automatic Control Computers Electrical Engineering and Electronics Dunarea de Jos University of Galati Galati Romania Modelling and Simulation Laboratory Dunarea de Jos University of Galati Galati Romania

One of the risk factors in skin cancer is unprotected exposure to UV radiation. Melanoma is the deadliest form of skin cancer but also curable if it is diagnosed in the early stages. This study uses a histogram analysis technique to investigate and classify two common skin lesions, nevi and melanoma. The colour feature investigated is the optimal threshold values in RGB space. Also, a boundary limit of the skin lesions is performed using a colour histogram analysis and the optimal threshold determination. A statistical analysis of the relevant threshold values for R, G and B histograms to establish a sound colour separation between benign and malignant lesions is performed. Monochromatic channel threshold values are clustered using K-means and the validity of clustering is assessed by silhouette method. The proposed method technique is evaluated using 120 colour digital images (60 melanomas and 60 nevi) from the Digital Archive of the Department of Dermatology of the University Medical Center in Groningen (UMCG)1. The reported results suggest red as the lesion representative colour in dermoscopic images. The pixel values for red channel are strongly related to the skin lesion type. © SGEM 2019.

关键词： Dermatology

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Using grey-scale hit-or-miss transform for detection of isolated foreground pixels in cerebral rmn datasets 19

Using grey-scale hit-or-miss transform for detection of isol...

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19th International Multidisciplinary Scientific Geoconference, SGEM 2019

作者： Pana, Lenuta Moldovanu, Simona Moraru, Luminita Faculty of Sciences and Environment University Dunarea de Jos of Galati Galati Romania Department of Computer Science and Information Technology Technical College Dumitru Motoc Galati Galati Romania Faculty of Automatic Control Computers Electrical Engineering and Electronics University Dunarea de Jos of Galati Galati Romania Modelling and Simulation Laboratory University Dunarea de Jos of Galati Galati Romania

MRI images contain a lot of subtle information related to various lesions which are difficult to be picked up by radiologists. computer aided diagnosis CAD is a valuable tool to improve the ability of an average radiologist to diagnose the subtle lesions. This study uses the isolated foreground pixels in MRI images as a feature able to discern a stroke patient by a healthy one. Brain MRI image was divided into eight equal sectors. The isolated foreground pixels (i.e. pixels satisfying a neighborhood configuration that corresponds to an isolated foreground pixel) were extracted using hit-or-miss and skeleton transformations. We have tested the proposed algorithms using two cerebral image datasets (healthy and acute stroke patients). The mean SD values of isolated foreground pixels for stroke patients systematically exceed the corresponding values for healthy patients. The higher numbers of isolated foreground pixel determined using hit-or-miss transform indicate this method as a promising approach for a simple and quick evaluation of stroke. © SGEM 2019.

关键词： Pixels

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Media and non-media WebRTC communication between a terrestrial station and a drone: the case of a flying IoT system to monitor parking

Media and non-media WebRTC communication between a terrestri...

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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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