Wyniki wyszukiwania - Biblioteka Nauki

1

A mathematical model of the left ventricle surface and a program for visualization and analysis of cardiac ventricle functioning

100%

Hoser P.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2004

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tom Vol. 8, No 2

249-257

EN

The left heart chamber's contractibility is an important part of heart diagnostics. Ultrasonographic pictures are very often used as the imaging method, as they are widely available, inexpensive and non-invasive. However, ultrasonographic pictures are very unclear, blurred and noisy, and thus very difficult for automatic analysis. To obtain a quick and useful analysis of ventricle performance, a special mathematical model has been created. The model can be used in contour detection, visualization of the heart's motion and even in automatic surface analysis. We hope that in the future such programs could be incorporated into a general medical expert system.

2

Komputerowe wspomaganie układania planu zajęć oparte na wybranych metodach heurystycznych

63%

Hoser P. , Ochnio L.

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Ekonomika i Organizacja Logistyki

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2022

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nr 7[2]

3

Wykorzystanie systemu wieloagentowego do optymalizacji planu zajęć na uczelni

63%

Hoser P. , Ochnio L.

Zeszyty Naukowe Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie. Ekonomika i Organizacja Logistyki

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2022

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nr 7[3]

4

Examination of the microscopic imaging of neural stem cells for counting a number of cells

51%

Korzrynska A. , Dobrowolska E. , Zychowicz M. , Hoser P.

Acta Neurobiologiae Experimentalis

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2009

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tom 69

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nr 1

EN

The goal of the investigation is to examine cells imaging with the brightfi eld and confocal microscopic imaging using two techniques: with and without fl uorescence. The investigations are done as an introducing part of the long term goal to develop methods of monitoring a number of cells in culture in time. Several types of events in the monitored cellsí culture, e. g. cellís division and death, cellsí fusion and its changes in shape and/or position should be detected and quantifi ed. Because of immanent features of each microscopic technique some of events are easier to be observed in one of the microscopic techniques than in others. Other events are detectable in all microscopic imaging. To detect them, the area covered by the cells in the image should be selected in the fi rst step of the image processing. So the method of cellsí area detection, described by Korzynska and Iwanowski (2008) [In: Pietka, Kawa (Eds), Information Technique in Biomedicine, ASC 47, pp. 365ñ376], is applied to all tested types of the microscopic images of HUCB-NSC transfected by GFP (from Medical Research Center PAS) and the results of area detection are examined and compared. It was found, that the proposed method detects cellsí area more precisely in the fl uorescent images, than in the brightfi eld or confocal microscopy. Comparing results of cellsí area detection of the fl uorescent image of confocal microscopy with the integrated fl uorescent signal in epifl uorescent images of conventional optical microscopy the better result of detection cells in the image plane were observed for fl attened, large cells in confocal images while for rounded, convergent ones for the brightfi eld microscopic techniques.

5

Developing automatic recognition system of drill wear in standard laminated chipboard drilling process

32%

Osowski S. , Kurek J. , Kruk M. , Górski J. , Hoser P. , Wieczorek G. , Jegorowa A. , Wilkowski J. , Śmietańska K. , Kossakowska J.

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6

Developing automatic recognition system of drill wear in standard laminated chipboard drilling process

32%

Kurek J. , Kruk M. , Osowski S. , Hoser P. , Wieczorek G. , Jegorowa A. , Górski J. , Wilkowski J. , Śmietańska K. , Kossakowska J.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2016

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tom Vol. 64, nr 3

633--640

EN

The paper presents an automatic approach to recognition of the drill condition in a standard laminated chipboard drilling process. The state of the drill is classified into two classes: “useful” (sharp enough) and “useless” (worn out). The case “useless” indicates symptoms of excessive drill wear, unsatisfactory from the point of view of furniture processing quality. On the other hand the “useful” state identifies tools which are still able to drill holes acceptable due to the required processing quality. The main problem in this task is to choose an appropriate set of diagnostic features (variables), based on which the recognition of drill state (“useful” versus “useless”) can be made. The features have been generated based on 5 registered signals: feed force, cutting torque, noise, vibration and acoustic emission. Different statistical parameters describing these signals and also their Fourier and wavelet representations have been used for defining the features. Sequential feature selection is applied to detect the most class discriminative set of features. The final step of recognition is done by using three types of classifiers, including support vector machine, ensemble of decision trees and random forest. Six standard drills of 12 mm diameter with tungsten carbide tips were used in experiments. The results have confirmed good quality of the proposed diagnostic system.