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1
Content available Wykorzystanie projektów unijnych do tworzenia nowych innowacyjnych rozwiązań transportowych
Obuchowicz A.
Transport Miejski i Regionalny
|
2013
|
nr 6
28--30
PL
Od wielu lat w Polsce wykorzystywane są fundusze unijne do podnoszenia jakości życia. Również w dziedzinie transportu publicznego miasta aktywnie działają w poszukiwaniu nowych dla nas, a sprawdzonych w innych krajach rozwiązań. Miasto Kraków uczestniczyło i nadal bierze udział w różnych projektach i inicjatywach, które służą wymianie doświadczeń pomiędzy miastami w Unii Europejskiej. Jednym z takich projektów był Civitas Caravel, w ramach którego została stworzona nowa usługa transportowa Tele-bus. Jest to przykład udanego transferu technologii oraz wymiany wiedzy i doświadczeń pomiędzy partnerami w projekcie. Usługa ta jest obecna w Krakowie nieprzerwanie od 2007 roku i już kilkakrotnie była rozszerzana.
EN
The EU funds aiming at improvement of quality of life have been used in Poland for many years. Also in the scope of public transport Polish cities seek intensely for solutions - new for us but proven in other countries. City of Cracow has taken part and is still involved in many projects and initiatives which serve to exchange of experiences between cities of the European Union. Civitas Caravel is one of such projects which resulted with a new transport service Tele-bus. It is an example of successful exchange of technologies, knowledge and experiences between partners in the project. This service has been provided to the passengers continuously since 2007 and it has already been expanded for few times.
2
Content available GLCM and GLRLM based texture features for computer-aided breast cancer diagnosis
Filipczuk P., Fevens T., Krzyżak A., Obuchowicz A.
Journal of Medical Informatics & Technologies
|
2012
|
Vol. 19
109--115
EN
This paper presents 15 texture features based on GLCM (Gray-Level Co-occurrence Matrix) and GLRLM (Gray-Level Run-Length Matrix) to be used in an automatic computer system for breast cancer diagnosis. The task of the system is to distinguish benign from malignant tumors based on analysis of fine needle biopsy microscopic images. The features were tested whether they provide important diagnostic information. For this purpose the authors used a set of 550 real case medical images obtained from 50 patients of the Regional Hospital in Zielona Góra. The nuclei were isolated from other objects in the images using a hybrid segmentation method based on adaptive thresholding and kmeans clustering. Described texture features were then extracted and used in the classification procedure. Classification was performed using KNN classifier. Obtained results reaching 90% show that presented features are important and may significantly improve computer-aided breast cancer detection based on FNB images.
3
Content available Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms
Obuchowicz A., Prętki P.
Journal of Telecommunications and Information Technology
|
2011
|
nr 4
11-19
EN
In this paper, the concept of a multidimensional discrete spectral measure is introduced in the context of its application to the real-valued evolutionary algorithms. The notion of a discrete spectral measure makes it possible to uniquely define a class of multivariate heavy-tailed distributions, that have recently received substantial attention of the evolutionary optimization community. In particular, an adaptation procedure known from the distribution estimation algorithms (EDAs) is considered and the resulting estimated distribution is compared with the optimally selected referential distribution.
4
Content available Computer-aided diagnosis of breast cancer using gaussian mixture cytological image segmentation
Kowal M., Filipczuk P., Obuchowicz A., Korbicz J.
Journal of Medical Informatics & Technologies
|
2011
|
Vol. 17
257--262
EN
This paper presents an automatic computer system to breast cancer diagnosis. System was designed to distinguish benign from malignant tumors based on fine needle biopsy microscope images. Studies conducted focus on two different problems, the first concern the extraction of morphometric and colorimetric parameters of nuclei from cytological images and the other concentrate on breast cancer classification. In order to extract the nuclei features, segmentation procedure that integrates results of adaptive thresholding and Gaussian mixture clustering was implemented. Next, tumors were classified using four different classification methods: k–nearest neighbors, naive Bayes, decision trees and classifiers ensemble. Diagnostic accuracy obtained for conducted experiments varies according to different classification methods and fluctuates up to 98% for quasi optimal subset of features. All computational experiments were carried out using microscope images collected from 25 benign and 25 malignant lesions cases.
5
Content available Tele-bus – przykład pomyślnego transferu technologii z Genui do Krakowa
Drobniak-Salitra M., Obuchowicz A.
Transport Miejski i Regionalny
|
2010
|
nr 10
22--24
PL
Współpraca polsko-włoska podczas transferu technologii linii elastycznych. Charakterystyka systemu Tele-bus w Krakowie. Rozwój usługi Tele-bus i jej przyszła rola w komunikacji zbiorowej.
EN
Polish-Italian cooperation during the transfer of technologies of flexible lines. Characteristics of Tele-bus system in Krakow. Development of Tele-bus service and its future function in collective transport.
6
Content available remote Usługa tele-bus - przewozy transportem zbiorowym na żądanie
Obuchowicz A.
Transport Miejski i Regionalny
|
2008
|
nr 7-8
55-56
PL
Artykuł przedstawia jedno z działań projektu CIVITAS CARAVEL mające na celu wprowadzenie do obsługi miasta usługi nazywanej przewozem na żądanie lub tele-busem. Zasady funkcjonowania usługi tele-bus. Roczne doświadczenia z realizacji usługi tele-bus i możliwości jej rozwoju.
EN
One of the Civitas-Caravel project activities aiming to implement a new service called the transport service on demand or tele-bus service. The rules of tele-bus service operation. One year's experiences of tele-bus service and the possibilities of its development.
7
Content available remote Color homogram for segmentation of fine needle biopsy images
Marciniak A., Nieczkowski T., Obuchowicz A.
Machine Graphics and Vision
|
2008
|
Vol. 17, No. 1/2
153-165
EN
In this paper, a new weighted clustering algorithm for image segmentation in cytopathology is introduced. The weights incorporating spatial information into pixel-based segmentation are computed with use of a color homogram. The effectiveness of the proposed solution is evaluated on microscopic fine needle biopsy (FNB) images. The results of the classical fuzzy c-means algorithm and its weighted modification are compared.
8
Content available remote Segmentation of breast cancer fine needle biopsy cytological images
Hrebień M., Steć P., Nieczkowski T., Obuchowicz A.
International Journal of Applied Mathematics and Computer Science
|
2008
|
Vol. 18, no 2
159-170
EN
This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research.
9
New evolutionary modifications in non-stationary environments
Wawrzyniak D., Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2007
|
z. 160
285-292
EN
The paper deals with the evolutionary algorithm which uses new methods which allow to increase the efficiency of finding the optimum in an environment in which fitness function is time-varying. All methods base on gathering information from environments obtained with the help of indyviduals (treated as sensors) and use it to help to make a decision to use a particular mechanism. These methods include watching procedure which provides information about changes in the environment based on using individuals as detectors, multiply random immigrants mechanism which investigates a particular area of the environment, predict procedure which tries to calculate the next location of the optimum, memory mechanism which cannot be classified as any existing type of memory.
10
Evolutionary algorithms with mutations based on (alfa) Stable and directional distributions
Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2007
|
z. 160
209-216
EN
In this paper a concept of directional mutations for phenotypic evolutionary algorithms is presented. The proposed approach allows, in a very convenient way, to adapt the probability measure underlying the mutation operator during evolutionary process. Simulated experiments confirms the thesis that proposed mutation improves the effectiveness of evolutionary algorithms in the case of the local as well as global optimization problems.
11
3-D surface reconstruction by the means of evolutionary algorithms
Goiński A., Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2007
|
z. 160
107-114
EN
In the paper we propose a new method for an isosurface construction from unorganized points in 3-D. The aim is to combine evolutionary algorithms with a recursive subdivision scheme. the algorithm starts from a base population where each individual represents an N-level surface approximation of an input object. next the population is evaluated and an offspring generation is created with a denser subdivision of surface. The method is illustrated by a set of samples.
12
Content available remote Applications of decision trees to filtering and segmentation of breast cancer fine needle biopsy microscope images
Nieczkowski T., Obuchowicz A.
Biocybernetics and Biomedical Engineering
|
2007
|
Vol. 27, no. 4
59-70
EN
This paper provides a description of application of the regular decision tree at the pre-segmentation stage of the breast cancer fine needle biopsy microscope image analysis. The purpose the application is to improve results of segmentation, which is the next stage of the process. The proposed approach consists in the classification of image pixels based on their colour. The result is the image with pixels colour representing the probability of association to one of three classes: the nucleus, the intemucleus matter and the background. The enhancement is evaluated by applying the thresholding segmentation to the resultant image and comparing it with the results of the application of the similar process without the pre-segmentation stage.
13
New approach to fast and precise optimization with evolutionary algorithms
Wawrzyniak D., Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2006
|
z. 156
397-404
EN
The paper deals with an evolutionary algorithm which uses new methods to control the range of mutation. In order to significantly increase the efficiency of finding the optimum, it discovers and exploits knowledge about the state of population in environment in every generation. It allows to be found a solution both quickly and precisely. Due to the division of population into objects dealing with different functions of optimization, it can simultaneously explore as well as exploit solution space. The algorithm works in such a way that it is unable to undergo a premature convergence. There is no possibility of falling into a trap of local optimum. Therefore, it is possible to increase a selective pressure safely, for example with the help of elitist succession.
14
Evolutionary bands for the expected response in nonlinear regression
Prętki P., Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2006
|
z. 156
359-364
EN
In this paper evolutionary algorithms are applied to computation of confidence intervals for the expected response of nonlinear models. A simple phenotypic evolutionary algorithm was adapted to deal with nonlinear constraints and utilized to find the maximum and minimum value of a nonlinear model responses inside a confidence region. Moreover, the adequacy of the proposed approach is tested in a series of numerical simulations, and compared with the commonly applied linearization technique.
15
Content available remote Phenotypic evolution with a mutation based on symmetric alpha-stable distributions
Obuchowicz A., Prętki P.
International Journal of Applied Mathematics and Computer Science
|
2004
|
Vol. 14, no 3
289-316
EN
Multidimensional Symmetric alpha-Stable (S alpha S) mutations are applied to phenotypic evolutionary algorithms. Such mutations are characterized by non-spherical symmetry for alpha<2 and the fact that the most probable distance of mutated points is not in a close neighborhood of the origin, but at a certain distance from it. It is the so-called surrounding effect (Obuchowicz, 2001b; 2003b). For alpha=2, the S alpha S mutation reduces to the Gaussian one, and in the case of alpha=1, the Cauchy mutation is obtained. The exploration and exploitation abilities of evolutionary algorithms, using S alpha S mutations for different alpha, are analyzed by a set of simulation experiments. The obtained results prove the important influence of the surrounding effect of symmetric alpha-stable mutations on both the abilities considered.
16
Content available Obserwatory stanu i programowanie genetyczne w identyfikacji i diagnostyce systemów przemysłowych
Korbicz J., Witczak M., Obuchowicz A.
Pomiary Automatyka Kontrola
|
2003
|
R. 49, nr 2/3
59-64
PL
Tematem pracy jest problem projektowania układu detekcji uszkodzeń dla pewnej klasy systemów nieliniowych. Jednym z zadań jest zaprezentowanie wykorzystania programowania genetycznego do wyznaczania modeli systemów nieliniowych w przestrzeni stanów. Innym zadaniem jest zastosowanie zmodyfikowanej wersji, obserwatora o nieznanym wejściu do zaprojektowania deterministycznego obserwatora dla potrzeb generacji residuum. W końcowej części pracy przedstawione jest zastosowanie proponowanego rozwiązania do detekcji uszkodzeń zaworu stanowiącego jeden z elementów pierwszego stopnia stacji wyparnej cukrowni Lublin S.A.
EN
This paper is focused on the problem of designing a fault diagnosis scheme for a class of non-linear systems. The one objective is to show how to employ a genetic programming technique to obtain state-space models of non-linear systems. Another objective is to employ a modified version of the unknown input observer to from a non-linear deterministic observer for the purpose of residual generation. The final part of the paper shows how to use the proposed approach to tackle fault detection concerning the valve actuator of the first stage of the evaporation station at the sugar factory Lublin S.A.
17
Content available remote Population in an Evolutionary Trap: Simulation of Natural Exploration
Obuchowicz A.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2003
|
Vol. 51, nr 1
60-104
EN
The aim of the presented paper is to introduce and compare three novel mechanisms: Simple Variance Adaptation (SVA), Forced Direction of Mutation (FDM) and Deterioration of the Objective Function (DOF), which accelerate the global optimization ability of evolutionary algorithms. The evolutionary algorithm considered here, called Evolutionary Search with Soft Selection (ESSS), is based on the simplest selection-mutation model of phenotype evolution [5]. The comparison analysis is made using two kinds of simulation experiments. The first one is focused on the saddle crossing ability of the algorithm considered. In the second one, chosen global optimization problems are solved.
18
Local selection in evolutionary search
Obuchowicz A.
Prace Naukowe Politechniki Warszawskiej. Elektronika
|
2002
|
z. 139
47--62
EN
Almost all known evolutionary algorithms use a "global" selection, i.e., all individuals in the current population compete with each other for placing as many offspring individuals in the next generation as possible. In nature, such a selection is impossible for population is dispersed over a wide area. The natural selection is a "local" one, where an individual competes only with rivals in its "ecological niche". Such a mechanism is implemented in an evolutionary search algorithm proposed in this work and tested on chosen optimization problems.
19
Content available remote Neural Network Fault Detection System for Dynamic Processes
Korbicz J., Patan K., Obuchowicz A.
Bulletin of the Polish Academy of Sciences. Technical Sciences
|
2001
|
vol. 49, nr 2
301-321
EN
The neural model-based Fault Detection and Isolation (FDI) system for dynamic non-linear processes is considered. The emphasis is placed upon the use of Artificial Neural Networks (ANN's) for residual generation. The proposed network is constructed with the Dynamic Neuron Model (DNM) which contains local memory. Similar to server based schemes, a network is applied to build the nominal and fault models of the investigated system. The output residuals between the process and the models bank are use to detect and identify faults in the system. The modelling efficiency based on the multilayer feedforward Network of Dynamic Neurons (NDN) is compared with the Elman and recurrent network with outside feedbacks. Finally, the NDN and the cascade NDN architectures are applied to build Neural-Residual Generators (NRG) of the two tank system.
20
Content available remote Dynamic Neural Networks for Process Modelling in Fault Detection and Isolation Systems
Korbicz J., Patan K., Obuchowicz A.
International Journal of Applied Mathematics and Computer Science
|
1999
|
Vol. 9, no 3
519-546
EN
A fault diagnosis scheme for unknown nonlinear dynamic systems with modules of residual generation and residual evaluation is considered. Main emphasis is placed upon designing a bank of neural networks with dynamic neurons that model a system diagnosed at normal and faulty operating points.To improve the quality of neural modelling, two optimization problems are included in the construction of such dynamic networks: searching for an optimal network architecture and the network training algorithm. To find a good solution, the effective well-known cascade-correlation algorithm is adapted here. The residuals generated by a bank of neural models are then evaluated by means of pattern classification. To illustrate the effectiveness of our approach, two applications are presented: a neural model of Narendra's system and a fault detection and identification system for the two-tank process.
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