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Search results for: PROBNE%20OBCI%C4%84%C5%BBENIA
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Normal-form preemption sequences for an open problem in scheduling theory
PublicationStructural properties of optimal preemptive schedules have been studied in a number of recent papers with a primary focus on two structural parameters: the minimum number of preemptions necessary, and a tight lower bound on shifts, i.e., the sizes of intervals bounded by the times created by preemptions, job starts, or completions. These two parameters have been investigated for a large class of preemptive scheduling problems,...
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On the problem of optimised allocation of water quality sensors and actuators in DWDS
PublicationThe problems of water quality sensors and actuators placement in drinking water distribution systems (DWDSs) are addressed as separate, primarily. However, against the background of control systems theory, the nature of DWDSs dynamics indicates that these both problems are interdependent and impact the design of related water quality monitoring and control structures and algorithms. The research work presented in this paper is...
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Prevalence Problem in the Set of Quadratic Stochastic Operators Acting on L1
PublicationThis paper is devoted to the study of the problem of prevalence in the class of quadratic stochastic operators acting on the L1 space for the uniform topology. We obtain that the set of norm quasi-mixing quadratic stochastic operators is a dense and open set in the topology induced by a very natural metric. This shows the typical long-term behaviour of iterates of quadratic stochastic operators.
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Data augmentation for improving deep learning in image classification problem
PublicationThese days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...
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Zamek w Człuchowie - funkcja zabytku jako problem konserwatorski
PublicationArtykuł omawia najważniejsze problemy architektoniczno-konserwatorskie, które wyłoniły się podczas prowadzonej w latach 2009-2012 restauracji i adaptacji pozostałości zamku w Człuchowie, oraz przedstawia wynikające z nich i uwarunkowania projektowe i realizacyjne dotyczące tzw. „wartości funkcji” zabytku.
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WYMAGANIA PRAWNE DOTYCZĄCE JAKOŚCI ENERGII W INSTALACJACH ELEKTROENERGETYCZNYCH
PublicationW referacie przedstawiono podstawowe parametry jakości energii elektrycznej, które podano w wymaganiach rozporządzenia w sprawie szczegółowych warunków funkcjonowania systemu elektroenergetycznego [2] oraz normy PN – EN 50160 [1] zawierającej podstawowe wytyczne dla sieci elektroenergetycznych do 132 kV włącznie. Wymagania dla sieci wysokich napięć rozszerzono w oparciu o inne dokumenty mające zastosowanie w przypadkach szczególnych,...
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Udane wdrożenie blended learning'u - problem techniczny czy kulturowy?
PublicationUczelnie wyższe coraz chętniej angażują się w konstruowanie wortali internetowych, które nie tylko mają stanowić uzupełnienie wiedzy studentów (i pracowników) z danej dziedziny wiedzy, ale i są wizytówką uczelni, która świadczy o poziomie kształcenia. Światowe doświadczenia związane z e−learning’iem nie zachęcają do zbytniego angażowania się w tę formę edukacji. Natomiast blended learning wydaje się idealnym rozwiązaniem. Zazwyczaj...
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Prawne aspekty wykorzystania Internetu w procesie kształcenia studentów
PublicationZajęcia prowadzone z wykorzystaniem metod i technik kształcenia na odległość nabierają coraz większego znaczenia w związku z rozwojem technologii informacyjno−komunikacyjnych. Pozwalają one na zastosowanie nowych form przekazywania wiedzy oraz komunikacji nauczycieli akademickich i studentów. Pamiętać należy, że przepisy dotyczące usług internetowych nie zostały stworzone z myślą o regulacji e−nauczania. W 2006 roku Ministerstwo...
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A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem
PublicationIn this paper we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semi-automatic system that helps in carrying the process of product innovation. It collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected from the group of similar products having some common functions and features. The SIE system behaves like...
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Ochrona przed wodami opadowymi. Problem o znaczeniu strategicznym.
PublicationProblemy ochrony jednostki zurbanizowanej przed wodami opadowymi. Powodzie miejskie. Strategia podejścia do rozwiązania zagadnienia. Wykazano nadmierne uzależnienie się od czynnika historycznego. Zagadnienie przeanalizowano na przykładzie Gdańska oraz zjawisk lat 1829, 2001 i 2016. Czy potrzeba zmiany strategii - skupienia się nie na tym co już było, ale na tym, co może przyjść.
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Evolutionary Sets of Safe Ship Trajectories: problem dedicated operators
PublicationThe paper presents the optimization process of the evolutionary sets of safe ship trajectories method, with a focus on its problem-dedicated operators. The method utilizes a customized evolutionary algorithm to solve a constrained optimization problem. This problem is defined as finding a set of cooperating trajectories (a set is an evolutionary individual) of all the ships involved in the encounter situation. The resulting trajectories...
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Magnetic field maps of an astable multivibrator in frequency range from 30 MHz to 3 GHz – spatial detection
Open Research DataThe data presents a result of near field measurements of electromagnetic emissions radiated from the PCB of a small electronic device. An efficient method of modelling the magnetic and electric field emissions is the measurements in the near field using electric and magnetic probes. The attached files contain magnetic field maps created on based measurements...
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031819351]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031816681]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Chronic tonsillitis - Female, 84 - Tissue image [11010630088572241]
Open Research DataThis is the histopathological image of TONSIL tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Male, 84 - Tissue image [3270730008093241]
Open Research DataThis is the histopathological image of RECTUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Melanoma, metastatic - Male, 84 - Tissue image [11010630088558931]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026327271]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Unknown, 84 - Tissue image [3300730069398811]
Open Research DataThis is the histopathological image of COLON tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodular melanoma - Male, 84 - Tissue image [7110729594549571]
Open Research DataThis is the histopathological image of SKIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Melanoma, metastatic - Male, 84 - Tissue image [11010630088553891]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026323131]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Male, 84 - Tissue image [3270730008096971]
Open Research DataThis is the histopathological image of RECTUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031813041]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026329131]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026326231]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Melanoma, metastatic - Male, 84 - Tissue image [11010630088554321]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Melanoma, metastatic - Male, 84 - Tissue image [11010630088556141]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031813611]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026321241]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Mucinous carcinoma - Female, 84 - Tissue image [3160630007336321]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031814351]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Unknown, 84 - Tissue image [330073006939981]
Open Research DataThis is the histopathological image of COLON tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Compound nevus - Female, 84 - Tissue image [6170730026747311]
Open Research DataThis is the histopathological image of SKIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031815981]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Hyperplasia of prostate - Male, 84 - Tissue image [6060730023688661]
Open Research DataThis is the histopathological image of PROSTATE GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Male, 84 - Tissue image [3270730008091721]
Open Research DataThis is the histopathological image of RECTUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Mucinous carcinoma - Female, 84 - Tissue image [3160630007338011]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Male, 84 - Tissue image [3270730008094801]
Open Research DataThis is the histopathological image of RECTUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Aspergillosis, unspecified - Male, 84 - Tissue image [10110730048216341]
Open Research DataThis is the histopathological image of ACCESSORY SINUSES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Rectal polyp - Male, 84 - Tissue image [2220630014946611]
Open Research DataThis is the histopathological image of RECTUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026327061]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Male, 84 - Tissue image [3270730008095941]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Leiomyosarcoma, NOS - Female, 84 - Tissue image [6120730031825491]
Open Research DataThis is the histopathological image of RETROPERITONEUM AND PERITONEUM tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Adenocarcinoma, NOS - Female, 84 - Tissue image [2270630026321281]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Mucinous carcinoma - Female, 84 - Tissue image [6120730031804481]
Open Research DataThis is the histopathological image of BREAST tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 1000 slide scanner (20x magnification) and saved to DICOM format.
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Melanoma, metastatic - Male, 84 - Tissue image [11010630088556481]
Open Research DataThis is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Unknown, 84 - Tissue image [3300730069396121]
Open Research DataThis is the histopathological image of COLON tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Tubular adenocarcinoma - Unknown, 84 - Tissue image [3300730069398491]
Open Research DataThis is the histopathological image of COLON tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
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Nodular melanoma - Male, 84 - Tissue image [7110729594543921]
Open Research DataThis is the histopathological image of SKIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.