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arXiv 2019年

作者： Gielerak, Roman Sawerwain, Marek Institute of Control & Computation Engineering University of Zielona Góra

It is observed that the reduced density matrices corresponding to pure states of bipartite qudits systems possess the Gram matrix structure. This observation has opened a possibility to analyse the entanglement in such systems from the purely geometrical point of view. In particular a new, of the geometrical nature quantitative measure of an entanglement has been proposed. Using the invented Gram matrix approach, a version of non-linear purification of a mixed states describing system analysed has been presented. Copyright © 2019, The Authors. All rights reserved.

关键词： Purification

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Influence of Iris template aging on recognition reliability

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 452卷 284-299页

作者： Czajka, Adam Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Warsaw Poland

ISBN: (纸本)9783662444849

The paper presents an iris aging analysis based on comparison results obtained for four different iris matchers. We collected an iris aging database of samples captured even eight years apart. To our best knowledge, this is the only database worldwide of iris images collected with such a large time distance between capture sessions. We evaluated the influence of the intra- vs. inter-session accuracy of the iris recognition, as well as the accuracy between the short term (up to two years) vs. long term comparisons (from 5 to 9 years). The average genuine scores revealed statistically significant differences with respect to the time distance between examined samples (up to 14% of degradation in the average genuine scores is observed). These results may suggest that the iris pattern ages to some extent, and thus appropriate countermeasures should be deployed in application assuming large time distances between iris template replacements (or adaptations). © Springer-Verlag Berlin Heidelberg 2014.

关键词： Biometrics

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Corrigendum to “Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks” [May 07 660-673]

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IEEE Transactions on Neural Networks 2009年第3期20卷 547-548页

作者： Krzysztof Patan Maciej Patan Institute of Control and Computation Engineering University of Zielona Góra Zielona Gora Poland

This note is a supplement to the previously published paper entitled "Stability analysis and the stabilization of a class of discrete-time dynamic neural networks" (Patan, 2007) and focuses on a complete formulation of the minimum distance projection. The undertaken analysis results in the procedure defining the homogeneous projection operator and returning the feasible network parameters.

关键词： Neural networks Lagrangian functions Recurrent neural networks Stability Closed-form solution Equations control engineering education control engineering computing Time factors

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Simulation-based evaluation of robot-assisted wireless sensors positioning

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2015年 351卷 181-190页

作者： Niewiadomska-Szynkiewicz, Ewa Sikora, Andrzej Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Warsaw Poland

Wireless sensor networks (WSNs) can significantly enhance the capability to monitor and control working environments. However, to fulfill the issued sensing tasks the network topology with desired properties (e.g. coverage, connectivity, lifetime, etc.) has to be created. The adequate deployment of sensor devices in the sensing area is needed for acquiring and managing data. In many applications it is necessary to use mobile devices that can move the sensors to the desirable positions in a given workspace. In this paper, we investigate the problem of mobile sensors deployment to get high coverage of a sensing area and ensure network connectivity. We discuss and compare two approaches to the positioning of sensors - pre-defined and self-configuring deployments. Finally, we propose a two-phase approach to WSN formation process, in which created preliminarily regular network topology is adapted to a given application scenario. We assess the quality of deployment strategies based on the results of simulations. © 2015, Springer International Publishing Switzerland.

关键词： Wireless sensor networks

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Automatic Breast Cancer Diagnostics Based on Statistical Analysis of Shape and Texture Features of Individual Cell Nuclei 14th

Automatic Breast Cancer Diagnostics Based on Statistical Ana...

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14th Workshop on Stochastic Models, Statistics and their Applications, SMSA 2019

作者： Gramacki, Artur Kowal, Marek Mazurkiewicz, Malgorzata Gramacki, Jaroslaw Plawiak-Mowna, Anna Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra Poland Computer Center University of Zielona Góra Zielona Góra Poland

ISBN: (纸本)9783030286644

The automatic detection of nuclei within cytological samples is crucial for quantitative analysis in medical applications. Fortunately, modern digital microscopy systems allow imaging of biological material with very high accuracy. A typical cytological sample contains hundreds or thousands of cell nuclei that need to be examined for a particular type of cancer (or the exclusion of neoplastic lesions). Typically, this assessment is made by a qualified physician by visually analyzing a biological material. As the complexity of cellular structures is very high, automating this process is a big challenge. In this paper, we try to face this problem. Real cytological images of breast cancer patients were collected by pathologists from the University Hospital in Zielona Góra, Poland. The individual cell nuclei were automatically detected within cytological sample imagery. Then a couple of different shape and texture features were collected. Based on this data, an attempt was made to classify them in the context of the possibility of automatically identifying the type of cancer (malignant, benign). The results obtained are moderately promising. © 2019, Springer Nature Switzerland AG.

关键词： Computer aided diagnosis

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Iterative learning control design for stability and transient performance using differential linear repetitive process stability theory ?

Iterative learning control design for stability and transien...

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11th IFAC International Workshop on Adaptation and Learning in control and Signal Processing, ALCOSP 2013

作者： Paszke, Wojciech Ga Lkowski, Krzysztof Rogers, Eric Institute of Control and Computation Engineering University of Zielona Gora Poland Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom

ISBN: (纸本)9783902823373

Iterative learning control has been developed for systems that repeat the same task over a finite duration with resetting to the starting location once each repetition, or trial, is complete. The novel feature is the use of information generated on the previous trial to compute the control input for the next one and the basic problem is to force the sequence of trial outputs to track a given reference signal. In many cases, it is also necessary to regulate the dynamics produced along the trials, for which this paper gives new results using the theory of linear repetitive processes and the generalized form of the Kalman-Yakubovich-Popov lemma. © IFAC.

关键词： Two term control systems

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Energy-efficient security in implantable medical devices

Energy-efficient security in implantable medical devices

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Federated Conference on Computer Science and Information Systems (FedCSIS)

作者： Krzysztof Daniluk Ewa Niewiadomska-Szynkiewicz Institute of Control and Computation Engineering Warsaw University of Technology Poland Institute of Control and Computation Engineering Research and Academic Computer Network (NASK) Warsaw University of Technology Poland

ISBN: (纸本)9781467307086

In this paper a survey of selected topics concerning development of wireless sensor network systems formed by implantable medical devices (IMDs) located on the patient's body are presented and discussed. The focus is on security aspects and effective management of power resources available in implanted sensors. Implantable medical devices are very sensitive to the energy constraints. Moreover, most applications of IMDs require protection against injection or modification of disseminated measurements. Therefore, the transmission between IMDs and external devices, which aim is to monitor and control of IMDs has to be protected. The approaches to provide a security and ensure a privacy during monitoring, controlling, drug disposition and implant identification are discussed. The concept of novel energy-efficient security system for wearable devices to monitor the patient's health is presented in the final part of this paper.

关键词： Security Monitoring Pacemakers Sensors Implants Jamming Base stations

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Optimizing Electrocardiogram Signal Augmentation for Realistic Synthetic Data in Deep Learning Model 27

Optimizing Electrocardiogram Signal Augmentation for Realist...

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27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Safdar, Muhammad Farhan Palka, Piotr Faresi, Ahmed Al Nowak, Robert Marek Institute of Computer Science Warsaw University of Technology Poland Institute of Control and Computation Engineering Warsaw University of Technology Poland United Arab Emirates University College of Information Technology United Arab Emirates

ISBN: (纸本)9788362065486

Electrocardiograms (ECG) are non-invasive signals and have proven useful in assessing the heart condition. Given the necessity for extensive datasets in ECG classification using deep learning (DL) models, there is a critical imperative to devise data augmentation methods capable of generating synthetic but realistic dataset suitable for training DL model. In this study, we propose a novel approach for augmenting ECG signals, aiming to produce realistic signals while optimizing memory usage and resource requirements. Building upon our previous work in ECG signal augmentation, we revisit the methodology to address limitations observed in the generation of synthetic signals. The existing method segmented ECG signals into fixed-length segments and combined them, occasionally resulting in unrealistic heart cycles within the signals in extreme condition. To address this issue, our proposed technique incorporates R peak detection, signal segmentation, and reordering based on the R-peaks information. We evaluated the proposed method using three benchmark datasets, including PTB-XL, Chapman-Shaoxin from PhysioNet, and the dataset from China Physiological Signal Challenge 2018 (CPSC-2018), for classifying atrial fibrillation from normal samples. Our approach achieved an accuracy of 0.83, sensitivity of 0.86, specificity of 0.80, F1-score of 0.83, and precision of 0.80. These results underscore the effectiveness and efficiency of our method in augmenting ECG signals for various applications in healthcare and biomedical research. © 2024 Division of Signal Processing and Electronic Systems, Poznan University of Technology (DSPES PUT).

关键词： Convolutional neural networks

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An improved interval global optimization method and its application to price management problem

An improved interval global optimization method and its appl...

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8th International Workshop on Applied Parallel Computing, PARA 2006

作者： Kubica, Bartlomiej Jacek Niewiadomska-Szynkiewicz, Ewa Institute of Control and Computation Engineering Warsaw University of Technology Nowowiejska 15/19 PL-00-665 Warsaw Poland Wawozowa 18 PL-02-796 Warsaw Poland

ISBN: (纸本)9783540757542

We present an interval global optimization algorithm using a modified monotonicity test, The improvement applies to constrained problems and can result in significant speedup, when constraints are sparse, i.e. they "bind" a few of the variables, not all of them. A theorem that ensures the correctness of the new tool, is given and proved. The improved method is applied to an economic problem of setting optimal prices on a couple of products. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Global optimization

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MULTILAYER AND INTEGRATED STRUCTURES FOR PREDICTIVE control AND ECONOMIC OPTIMISATION

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IFAC Proceedings Volumes 2007年第9期40卷 198-205页

作者： Maciej ławryńczuk Piotr Marusak Piotr Tatjewski University of Technology Institute of Control and Computation Engineering Nowowiejska 15/19 00-665 Warszawa Poland

The problem of co-operation of model predictive control (MPC) algorithms with nonlinear economic optimisation is considered. It is important when dynamics of disturbances is comparable with dynamics of the process, thus when application of the classical multilayer approach may be not efficient. Two main approaches are discussed and their features studied. The first one consists in approximate linear, linear-quadratic or piecewise-linear formulations of the target set-point optimisation depending on problem properties. The idea of the second approach consists in integrating the economic optimisation and manipulated variables calculation by MPC algorithm into one optimisation problem. The nonlinear steady-state model used in economic optimisation is approximated on-line. The resulting optimisation problem is then integrated with the MPC optimisation task and a computationally efficient quadratic programming problem is obtained.

关键词： Predictive control optimal control linearisation multivariable control nonlinear control systems constrained control

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