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International Conference on Signals and Electronic Systems, ICSES'06

作者： Hrebien, Maciej Nieczkowski, Tomasz Korbicz, Józef Obuchowicz, Andrzej Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)8392117263

This paper describes an early stage of cytological image recognition and presents a proposition of a hybrid segmentation method. The analysis include the Hough transform and the so called GrowCut method. One can also find here a short description of image pre-processing used in our approach and preliminary experimental results collected on a prepared banchmark database.

关键词： Hough transforms

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Constrained mobile sensor routing for parameter estimation of spatiotemporal processes

Constrained mobile sensor routing for parameter estimation o...

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Universite Libre de Bruxelles

作者： Uciński, Dariusz Patan, Maciej Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902823069

An approach is proposed to joint activation of stationary sensor nodes and design of mobile sensor trajectories in a hybrid sensor network collecting measurements for parameter estimation of a process described by a partial differential equation. The ultimate objective is maximization of the log-determinant of the information matrix associated with the estimated parameters. The search for the optimal solution is performed using the branch-and-bound method in which a block coordinate ascent method is employed to produce an upper bound to the maximum objective function. It alternates between solving a relaxed combinatorial problem for the selection of active stationary nodes and a relaxed optimal control problem for the design of sensor trajectories. The former is achieved using a simplicial decomposition algorithm in which the restricted master problem is solved using a multiplicative algorithm for optimal design. In turn, the latter is solved by another algorithm for optimal design, namely the Wynn-Fedorov algorithm, which is capable of finding an optimal element in the convex hull of the set of attainable information matrices and can be easily implemented by using a standard optimal control solver as its component. © 2012 IFAC.

关键词： Parameter estimation

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Reconfigurable agent architecture for robots utilising cloud computing

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2015年 351卷 253-264页

作者： Szlenk, Marcin Zieliński, Cezary Figat, Maksym Kornuta, Tomasz Warsaw University of Technology Institute of Control and Computation Engineering Warsaw Poland

The paper presents the general architecture of the control system of a companion robot. As companion robots have to perform diverse and complex tasks, while computational capabilities of the local robot control computer are limited, the control system is split between the robot and the cloud. Moreover, the system is composed of agents, that are arranged into an application on demand of the user. Some of those agents are created on the robot and some in the cloud. As the requirements change the composition of the system changes too. © Springer International Publishing Switzerland 2015.

关键词： Machine design

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Automatic breast cancer diagnosis based on K-means clustering and adaptive thresholding hybrid segmentation

Advances in Intelligent and Soft Computing

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Advances in Intelligent and Soft Computing 2011年 102卷 295-302页

作者： Filipczuk, Pawel Kowal, Marek Obuchowicz, Andrzej Institute of Control and Computation Engineering Univeristy of Zielona Góra Poland

ISBN: (纸本)9783642231537

The paper presents k-means based hybrid segmentation method for breast cancer diagnosis problem. It is part of the computer system to support diagnosis based on microscope images of the fine needle biopsy. The system assumes distinguishing malignant from benign cases. Described method is an alternative to the previously presented algorithms based on fuzzy c-means clustering and competitive neural networks. However, it uses similar idea of combining clustering in RGB space with adaptive thresholding. At first, thresholding reveals objects on background. Then image is clustered with k-means algorithm to distinguish nuclei from red blood cells and other objects. Correct segmentation is crucial to obtain good quality features measurements and consequently successful diagnosis. The system of malignancy classification was tested on a set of real case medical images with promising results. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Fuzzy neural networks

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Application of the MLP neural network to the robust fault detection

Application of the MLP neural network to the robust fault de...

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作者： Mrugalski, Marcin Korbicz, Józef Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 65-246 Zielona Góra Poland

ISBN: (纸本)9783902661142

This paper presents an identification method based on artificial neural networks, which can be applied to the robust fault detection. In particular, a problem of the multi layer perceptron neural network uncertainty estimation is considered. The final part of the paper shows how to use the proposed approach to tackle the problem of fault detection of the DAMADICS benchmark. Copyright © 2006 IFAC.

关键词： Neural networks

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Combined estimation of actuator and sensor faults for non-linear dynamic systems 22

Combined estimation of actuator and sensor faults for non-li...

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22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017

作者： Pazera, Marcin Witczak, Marcin Korbicz, Józef Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 Zielona Góra65-246 Poland

ISBN: (纸本)9781538624029

The paper deals with the problem of simultaneous estimation of the state as well as actuator and sensor faults for non-linear dynamic systems. The actuator and sensor faults can appear simultaneously, at the same time. The proposed strategy is based on quadratic boundedness approach allowing the convergence analysis of the proposed estimator. The final part of the paper shows an illustrative example based on a real multi-tank system, which clearly exhibits the performance of the proposed approach. © 2017 IEEE.

关键词： Linear control systems

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Integrating different modelling formalisms supporting co-design development of controllers for cyber-physical systems - A case study 9

Integrating different modelling formalisms supporting co-des...

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9th IEEE International Conference on e-Learning in Industrial Electronics, ICELIE 2022

作者： Bazydlo, Grzegorz Costa, Aniko Gomes, Luis Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland NOVA University Lisbon Center of Technology and Systems-UNINOVA Caparica Portugal

ISBN: (数字)9781665489904

ISBN: (纸本)9781665489904

In the paper, a teaching methodology for the design of controllers for cyber-physical system (CPS) is presented. The proposed approach is supported both by special tools (for modelling, verifying, and implementing of designed CPS) and programmable platforms (FPGA-based boards and Arduino devices). The latter ones allow for laboratory prototyping during classes and give flexibility for exercising different implemen-tation strategies. The proposed approach was fully validated during courses on 'Discrete process control' and 'Designing of integrated cyber-physical systems' offered at the University of Zielona Gora (Poland), and students' assessment of the usage of two design tools - IOPT- Tools and Active-HDL were analysed. © 2022 IEEE.

关键词： controllers

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Simultaneous estimation of multiple actuator anc sensor faults for Takagi-Sugeno fuzzy systems 22

Simultaneous estimation of multiple actuator anc sensor faul...

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22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017

作者： Pazera, Marcin Witczak, Marcin Buciakowski, Mariusz Mrugalski, Marcin Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 Zielona Góra65-246 Poland

ISBN: (纸本)9781538624029

The paper is devoted to the problem of a Takagi-Sugeno(TS)-based robust simultaneous actuator and sensor faults estimator design for the purpose of the Fault Diagnosis (FD) of non-linear systems. The proposed methodology of designing a TS-based H∞ fault estimator is developed in this paper. The main novelty of the approach is associated with possibly of simultaneous sensor and actuator faults estimation. The developed approach guaranties a predefined disturbance attenuation level and convergence of the designed estimator. The illustrative part of the paper shows an example of the application of the developed approach in the task of the fault diagnosis of the multi-tank system. © 2017 IEEE.

关键词： Failure analysis

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Robust fault diagnosis via parameter identification of dynamical systems 10

Robust fault diagnosis via parameter identification of dynam...

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2009 10th European control Conference, ECC 2009

作者： Mrugalski, Marcin Korbicz, Jozef Institute of Control and Computation Engineering University of Zielona Góra ul. Podgórna 50 Zielona Góra65-246 Poland

The paper deals with the problem of robust fault diagnosis of industrial systems. The main objective was to develop fault diagnosis scheme based on the parameters identification via Bounded-Error Approach. The effecti... 详细信息

ISBN: (纸本)9783952417393

关键词： Fault detection

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Automated cell nuclei segmentation in breast cancer fine needle biopsy smears

Advances in Intelligent and Soft Computing

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Advances in Intelligent and Soft Computing 2010年 69卷 321-332页

作者： Kowal, Marek Obuchowicz, Andrzej Institute of Control and Computation Engineering University of Zielona Góra Poland

ISBN: (纸本)9783642131042

Reliable segmentation of cell nuclei from microscopic images is an important task in many medical studies. This paper present a novel method for the segmentation of cell nuclei from microscopic images based on fuzzy clustering and ellipse fitting algorithm. It was designed specifically to segment nuclei in breast cancer FNB (Fine Needle Biopsy) cytological images. The segmentation approach takes both the color information and the spatial information into account during detecting the cell nucleus. Because of the presence of the elliptic shape function dissimilarity measure is able to differentiate the pixels with similar color but located in in different regions of the image. Moreover, it is very easy to extract morphometric parameters of the cell nuclei based on parameters of detected ellipses. Simulations and experimental results are provided to demonstrate the performance and generality of the proposed method. The proposed algorithm is able to segment cell nuclei obtained from microscopy imaging with reasonable accuracy. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Biopsy

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