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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Thomas Pursche Marcel Walz Roland Clauß Robert Roth Bernd Tibken Reinhard Möller School of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automation/Computer Science University of Wuppertal Wuppertal Germany

The conventional heart rate measurement techniques using electrocardiogram, wrist belts and so on, are attached with some disadvantages like discomfort, irritation of the skin and even more. From this starting point various video based heart rate measurement techniques were developed in the last years. All of these techniques use video data of the human faces to extract information to estimate the heart rate of the person in front of the camera. Most of them work with the detection of minimal changes in the color spectrum of the recorded video data. With these extracted information and multiple concluding steps, they are able to estimate the heart rate of the person sitting in front of the camera. All of these approaches have some big disadvantages, they are only able to measure the heart rate of one person - and in a small number of cases up to three persons. So the main objective of this work is to adapt and enhance existing research approaches of processing visual biological signals. The focus is set on the design and deployment of a new system, which is able to process visual data as well as detect and localize human faces by using artificial neural networks and calculate each individuals heart rate from the processed data's information. For the first time in this research area, different scenarios with more than three observed participants are being analyzed to calculate the heart rate for each of them separately. It will be shown that by using the applied technical architecture and technologies, it is possible to deploy a comparable and qualitatively competitive system. In addition, the implemented system proves the feasibility of processing various faces' signals and calculating the respective heart rates simultaneously within an acceptable range of tolerance.

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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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Trajectory control of an Autonomous Systemdedicated to Assisted Living

Trajectory Control of an Autonomous Systemdedicated to Assis...

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

作者： Max Nicolae Stefan Mocanu Mihai Craciunescu Radu Dobrescu Faculty of Automatic Control and Computer Science UPB

In this paper a method of controlling a wheelchair using the video stream from two cameras is proposed. The cameras are placed on the side of the wheelchair having as main purpose to detect the edge between the floor and the wall. The images obtained are processed, thus obtaining an inclination angular error and a lateral errorfrom the desired trajectory, which is considered at the middle of the distance between the two lateral references. With the combined information from the camera and from the sensors conveniently placed on the system, the navigation inside a building with corridors delimited either by walls, by lines or by transitions is achieved.

关键词： Wheelchairs Sensors Cameras Trajectory Navigation Image edge detection computer architecture

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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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Intact industrial internet of things communication solution

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2018年第3期80卷 17-30页

作者： Trancǎ, Dumitru-Cristian Buzilǎ, Eugen Rosner, Daniel Pǎtru, George Cristian Rughiniş, Rãzvan Victor Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania

In the past decades, the internet revolution has expanded in numerous application areas and has redefined both B2C (business-to-consumer) and B2B (business-to-business) industries, with the industrial environment adapting to the fast-changing technologies. IIoT (Industrial Internet of Things) based solutions are increasingly employed to address several limitations of previous generations of technologies, with multiple applications in areas such as energy, agriculture, industrial facilities. One specific area of high impact for IIoT is communication equipment interconnection in industrial scenarios. Most industries rely on wired interconnections - with several benefits, but also specific limitations and costs. This article proposes a wireless communication solution for this specific area, based on the LoRaWAN protocol, complete with a solution for centralizing information and offering a high-level overview of active infrastructure. We proposed a general module, that can be attached to any industrial equipment, collecting and transferring data through LoRaWAN protocol, introducing new opportunities but also new risks related to data security and integrity. © 2018 Politechnica University of *** Rights Reserved.

关键词： Internet of things

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Modelling the dynamic electrical system in the context of cyber attacks

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2018年第2期80卷 3-16页

作者： Dogaru, Delia Ioana Dumitrache, Ioan Faculty of Automatic Control and Computer Science University POLITEHNICA Bucharest Romania

Smart grid is a cyber-physical system described by the integration of information and communication technologies into the power system which is a key enabler for future technology developments through which the power grid can expand technically and geographically, creating a complex interconnected distributed system with additional cyber risks. In this article, we focus on the impact of cyber risks through this integration by modelling the dynamic power grid based on the IEEE-9bus benchmark and we conduct a behavior analysis when the grid is subjected to cyber-attacks. © 2018 Politechnica University of Bucharest. All rights reserved.

关键词： Cyber attacks

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Practical Validation of the Reduced-Order Active Disturbance Rejection controller for the Delay-Dominated Processes

Practical Validation of the Reduced-Order Active Disturbance...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Pawel Nowak Patryk Grelewicz Jacek Czeczot Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Gliwice Poland

In this paper, the application of Reduced-Order Active Disturbance Rejection controller (RADRC) for processes with significant time delay is analysed. First, the analysis of the modified RADRC and its tuning method is presented. Then a practical verification for temperature control in the electric flow heater is shown. In practical studies, the superiority of RADRC over PI and PI with Smith predictor is presented.

关键词： Delay effects Tuning Process control Mathematical model Temperature measurement Delays control systems

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Conceptual Foundations of the Use of Formal Models and Methods for the Rapid Creation of Web Applications

Conceptual Foundations of the Use of Formal Models and Metho...

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IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Sergii Telenyk Grzegorz Nowakowski Eduard Zharikov Jewhenii Vovk Department of Theoretical Electrical Engineering and Computer Science Faculty of Electrical and Computer Engineering Cracow University of Technology Department of Automatic Control and Information Technology Faculty of Electrical and Computer Engineering Cracow University of Technology Department of Automation and Control in Technical Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

ISBN: (纸本)9781728140704

The problem of the rapid creation of effective web applications of one class using formal means is considered. A conceptual approach to its solution is offered based on an analysis of the peculiarities of the construction of web applications. Our approach is based on defining the standard web application architecture and selecting its components using formal methods in accordance with user requirements. A formal logical system is proposed that uses the design of web applications as a process of outputting a formula specified according to the needs of the user, which defines the schemes of execution of the modules of the system. An important feature of this approach is the ability to visualise the process of designing the system in 3D, which creates the conditions for effective interaction between developers and machine development tools.

关键词： Web-applications Application construction Business processes Mathematical logic web applications Mathematical logic conceptual User needs Developers

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Practical Verification of the Advanced control Algorithms Based on the Virtual Commissioning Methodology - A Case Study

Practical Verification of the Advanced Control Algorithms Ba...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Patryk Grelewicz Pawel Nowak Michal Fratczak Tomasz Klopot Faculty of Automatic Control Electronics and Computer Science Institute of Automatic Control Gliwice Poland

In this paper, the possibility of using the virtual commissioning for developing the advanced controllers for example of electric flow heater is presented. First, based on the process measurement data, the virtual environment is prepared. Then, for selected advanced control algorithms, both virtual and real commissioning was carried out. The results are discussed in the paper and they demonstrate the impact of the applied commissioning method on the control performance provided by each of considered control algorithms.

关键词： Process control Tuning Mathematical model Resistance heating Heuristic algorithms Prediction algorithms Delay effects

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