Katarzyna Grzesiak-Kopeć
Jagiellonian University
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Publication
Featured researches published by Katarzyna Grzesiak-Kopeć.
international conference of the ieee engineering in medicine and biology society | 2007
Grzegorz Surówka; Katarzyna Grzesiak-Kopeć
We use the wavelet-based decomposition to generate the multiresolution representation of dermatoscopic images of potentially malignant pigmented lesions. Three different machine learning methods are experimentally applied, namely neural networks, support vector machines, and Attributional Calculus. The obtained results confirm that neighborhood properties of pixels in dermatoscopic images are a sensitive probe of the melanoma progression and together with the selected machine learning methods may be an important diagnostic tool.
international conference on computational science | 2006
Ewa Grabska; Katarzyna Grzesiak-Kopeć; Grażyna Ślusarczyk
The paper deals with visual computational design in which emergence is a key to creativity. The presented framework for conceptual design uses shape grammars and curious agent assistants. The intelligent agents perceive the changing environment and emergent phenomena that occur in it. Interacting with each other and the designer they look for the most original and plausible solutions to a given design task. The approach is illustrated by the example of a designing floor-layouts.
Computer-aided Design and Applications | 2014
Katarzyna Grzesiak-Kopeć; Maciej Ogorzalek
Computer-aided 3D ICs layout design requires efficient search of large and discontinuous spaces and no deterministic algorithms are able to perform such a task. The paper presents a new framework for visual kind of intelligent layout design. In the proposed approach a shape grammar generates possible design solutions while intelligent algorithms control the direction of the solution space exploration. Although the method is not limited to a particular design assignment, the paper focuses on a 3D ICs layout problem to demonstrate its potential.
ICCVG | 2006
Ewa Grabska; Katarzyna Grzesiak-Kopeć; Jacek Lembas; Andrzej Łachwa; Gra yna Ślusarczyk
A specific diagram language, called the floor-layout language, is considered. It allows to edit floor-layouts maintaining specified restrictions. An internal diagram representation in the form of hypergraphs needed for syntactic analysis is described. Some examples of designing floor-layouts are presented.
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference | 2006
Ewa Grabska; Katarzyna Grzesiak-Kopeć; Grażyna Ślusarczyk
This paper presents the new framework for visual computational design in which emergence is a key to creativity. Visual shape grammar computations proceeded with the use of diagrams are situated in a design context indirectly through the designer working with the application or more explicitly through curious agents. Curiosity of intelligent agents is applied to search for novel and plausible design solutions. The approach is illustrated by designing decorative patterns.
international conference on human system interactions | 2013
Katarzyna Grzesiak-Kopeć; Maciej Ogorzalek
Shape grammars are generative systems dedicated to specific needs of designers. In the last few years, they have received increased interest especially in building reconstruction and building model generation. We propose to combine the formalism with computational intelligence methods and apply to the 3D layout problem which require efficient search of large and discontinuous spaces. The approach is illustrated by the example of a designing 3D ICs layouts. The presented results have been generated with a use of a dedicated application PerfectShape.
Computer-aided Design and Applications | 2015
Katarzyna Grzesiak-Kopeć; Maciej Ogorzalek
ABSTRACTThe paper presents a knowledge intensive graphical 3D ICs layout representation in the form of hierarchical layout hypergraphs that enable to demonstrate all possible relations among chip components, especially spatial relations in 3D spaces. The introduction of the hierarchy enables to gather and retrieve information on different levels of details. The proposed graphical knowledge description is also suitable for the grid like neighborhood representation that may be used to divide the circuit into layers.
Archive | 2004
Katarzyna Grzesiak-Kopeć
Abstract. The exploration of emergence is one of the most important and one of the least formalized areas of research in the field of graphical design. This paper presents a formal description of emergent elements in selected periodic designs, namely rosettes, borders and two-dimensional designs. The introduction covers the basic concepts for the area of creative design and emergence. In the following chapters a formal model for graphical design and our concept of using it to define emergent elements is provided.
ieee international conference on advanced computational intelligence | 2015
Katarzyna Grzesiak-Kopeć; Maciej Ogorzalek
Computer-aided 3D ICs layout design is an NP-hard problem in which an important step is the graph partitioning task. If speed is the dominant requirement, the commonly applied Fiduccia-Mattheyses partitioning algorithm is superior to any other local search method. However, taking into account other cost function, it often fails to obtain a quasi-optimal solution in 3D spaces. This paper presents an original 3D layout graph partitioning heuristics implemented with the use of extremal optimization method. The preliminary results show very good performance and stimulate further research.
international conference on artificial intelligence and soft computing | 2014
Katarzyna Grzesiak-Kopeć; Maciej Ogorzalek
While explored in the context of creativeness in computer aided design, emergence has hardly ever been mentioned as a phenomenon that may enhance optimization process in engineering design. This paper presents the original approach to constrained 3D component layout design problem that takes advantage of visual shape grammar computations, emergent phenomena and computational intelligence methods. Possible design solutions are generated with a use of a simple shape grammar. Design specific knowledge is represented in a form of goals and constraints and the search process is driven by an intelligent derivation controller. The presented framework is very general but in the same time flexible and easily adjustable to a specific problem domain.