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Search results for: ADAM SMITH
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GPU-Accelerated Finite-Element Matrix Generation for Lossless, Lossy, and Tensor Media [EM Programmer's Notebook]
PublicationThis paper presents an optimization approach for limiting memory requirements and enhancing the performance of GPU-accelerated finite-element matrix generation applied in the implementation of the higher-order finite-element method (FEM). It emphasizes the details of the implementation of the matrix-generation algorithm for the simulation of electromagnetic wave propagation in lossless, lossy, and tensor media. Moreover, the impact...
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Active monitoring as cognitive control of grinders design
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Comparison of satellite chlorophyll a algorithms for the Baltic Sea
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R&D in a post centrally-planned economy: The macroeconomic effects in Poland
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Generation of large finite-element matrices on multiple graphics processors
PublicationThis paper presents techniques for generating very large finite-element matrices on a multicore workstation equipped with several graphics processing units (GPUs). To overcome the low memory size limitation of the GPUs, and at the same time to accelerate the generation process, we propose to generate the large sparse linear systems arising in finite-element analysis in an iterative manner on several GPUs and to use the graphics...
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UNRES server for physics-based coarse-grained simulations and prediction of protein structure, dynamics and thermodynamics
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Moduł gier miejskich dla elektronicznego przewodnika multimedialnego EGIT
PublicationW artykule przedstawiono charakterystykę dostępnych rozwiązań i platform gier miejskich oraz dokonano ich porównania. Przedstawiono koncepcję definiowania funkcjonalności modułu gier miejskich stanowiącego rozszerzenie przewodnika eGIT. Opisano architekturę komponentową elektonicznego, bezprzewodowego, multimedialnego przewodnika eGIT wraz z modułem gier miejskich. Przedstawiono proces integracji modułu z aplikacją bazową eGIT,...
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Finite element matrix generation on a GPU
PublicationThis paper presents an efficient technique for fast generation of sparse systems of linear equations arising in computational electromagnetics in a finite element method using higher order elements. The proposed approach employs a graphics processing unit (GPU) for both numerical integration and matrix assembly. The performance results obtained on a test platform consisting of a Fermi GPU (1x Tesla C2075) and a CPU (2x twelve-core...
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Endoscopic Video Classification with the Consideration of Temporal Patterns
PublicationThe article describes a novel approach to automatic recognition and classification of diseases in endoscopic videos. Current directions of research in this field are discussed. Most presented methods focus on processing single frames and do not take into consideration the temporal relationship between continuous classifications. Existing approaches that consider the temporal structure of an incoming frame sequence are focused on...
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Accuracy, Memory and Speed Strategies in GPU-based Finite-Element Matrix-Generation
PublicationThis paper presents strategies on how to optimize GPU-based finite-element matrix-generation that occurs in the finite-element method (FEM) using higher order curvilinear elements. The goal of the optimization is to increase the speed of evaluation and assembly of large finite-element matrices on a single GPU (Graphics Processing Unit) while maintaining the accuracy of numerical integration at the desired level. For this reason,...
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An Overview of the Development of a Real-Time System for Endoscopic Video Classification
PublicationThe article presents the results of improving endoscopic image classification algorithms in an effort towards applying them in a real-time diagnosis supporting system. Methods for the detection and removal of personal data are presented and discussed. The currently developed recognition algorithms have been improved in terms of accuracy and performance to make them suitable for a real-life implementation. Their test results are...
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The Influence of Selecting Regions from Endoscopic Video Frames on The Efficiency of Large Bowel Disease Recognition Algorithms
PublicationThe article presents our research in the field of the automatic diagnosis of large intestine diseases on endoscopic video. It focuses on the methods of selecting regions of interest from endoscopic video frames for further analysis by specialized disease recognition algorithms. Four methods of selecting regions of interest have been discussed: a. trivial, b. with the deletion of characteristic, endoscope specific additions to the...
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Communication and Load Balancing Optimization for Finite Element Electromagnetic Simulations Using Multi-GPU Workstation
PublicationThis paper considers a method for accelerating finite-element simulations of electromagnetic problems on a workstation using graphics processing units (GPUs). The focus is on finite-element formulations using higher order elements and tetrahedral meshes that lead to sparse matrices too large to be dealt with on a typical workstation using direct methods. We discuss the problem of rapid matrix generation and assembly, as well as...
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Two-dimensional gel-based serum protein profile of growing piglets
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Quantum Steering Inequality with Tolerance for Measurement-Setting Errors: Experimentally Feasible Signature of Unbounded Violation
Publicationuantum steering is a relatively simple test for proving that the values of quantum-mechanical measurement outcomes come into being only in the act of measurement. By exploiting quantum correlations, Alice can influence — steer — Bob ’ s physical system in a way that is impossible in classical mechanics, as shown by the violation of steering inequalities. Demonstrating this and similar quantum effects for systems of increasing size,...
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A Stabilized Complex LOBPCG Eigensolver for the Analysis of Moderately Lossy EM Structures
PublicationThis letter proposes a stabilized locally optimal block preconditioned conjugate gradient method for computing selected eigenvalues for complex symmetric generalized non-Hermitian eigenproblems. Effectiveness of the presented approach is demonstrated for a moderately lossy dual-mode dielectric resonator, modeled using finite-element method with higher order elements
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Residual MobileNets
PublicationAs modern convolutional neural networks become increasingly deeper, they also become slower and require high computational resources beyond the capabilities of many mobile and embedded platforms. To address this challenge, much of the recent research has focused on reducing the model size and computational complexity. In this paper, we propose a novel residual depth-separable convolution block, which is an improvement of the basic...
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Evaluating Performance and Accuracy Improvements for Attention-OCR
PublicationIn this paper we evaluated a set of potential improvements to the successful Attention-OCR architecture, designed to predict multiline text from unconstrained scenes in real-world images. We investigated the impact of several optimizations on model’s accuracy, including employing dynamic RNNs (Recurrent Neural Networks), scheduled sampling, BiLSTM (Bidirectional Long Short-Term Memory) and a modified attention model. BiLSTM was...
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Process Control Challenges and Solutions: TEOS, W, and CU CMP
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Adam Kostrubiec dr inż.
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Adam Matczuk mgr inż.
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Adam Krzemiński mgr inż.
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Adam Hamrol
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Adam Dąbrowski
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Adam Lipski
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Adam Gnatek dr
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Adam Szlachciak mgr
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Adam Pawlak dr
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Adam Synowiecki prof. dr hab.
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Adam Lecko dr hab.
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Adam Dąbrowski
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Adam Pilecki
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Adam Proń prof.
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Adam Barembruch dr
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Adam Tlałka mgr inż.
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Adam Lepczyński dr hab. inż.
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Adam Bohonos dr
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Adam Zwoliński dr hab. inż. arch.
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Adam Nowosielski dr inż.
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Adam Krzyżak prof. dr hab. inż.
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Adam Zieliński dr hab. inż.
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Adam Bocian mgr inż.
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Adam Kristowski dr inż.
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Adam Dziekoński dr inż.
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Adam Brzeski dr inż.
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Adam Macierzanka dr hab. inż.
People2015-presentHead of Department, Associate ProfessorDepartment of Colloid and Lipid Science, Faculty of Chemistry, Gdansk University of Technology, Gdansk, Poland 2019-2020Visiting Professor, Food Science and NutritionRiddet Institute, Massey University, Palmerston North, New Zealand 2014-2015Research LeaderColloid Science, Food & Health Research ProgrammeInstitute of Food Research, Norwich, United Kingdom 2012-2014Full Professor,...
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Adam Laska inż.
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Adam Wawrzynowicz dr inż.
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Adam Boryczko dr hab. inż.
PeopleStudia na Wydziale Mechanicznym Technologicznym Politechniki Gdańskiej w latach 1967 – 1973 oraz dyplom mgr inż. mechanika – Technologia Budowy Maszyn. W latach 1973 – 1975 praca w Zakładzie Doświadczalnym Hydrauliki Okrętowej przy ZUO „HYDROSTER” PP w Gdańsku, stanowiska: technolog badania wyrobów, konstruktor badania wyrobów, konstruktor. Od 1975 r. pracuje w Politechnice Gdańskiej na Wydziale Mechanicznym Technologicznym,...
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Adam Czarnecki mgr inż.
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