2015 - Repozytorium publikacji - Politechnika Gdańska

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Publikacje z roku 2015

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Opracowanie zestawu rekomendacji i modeli dla prowadzenia procesu rewitalizacji w centrum Łodzi
- Gabriela Maria Rembarz
2015
OPRACOWANIE JEST ELEMENTEM PROJEKTU "CENTRUM WIEDZY REWITALIZACJI" realizowanego przez Miasto Łódź współfinansowanego przez Unię Europejską ze środków Europejskiego Funduszu Rozwoju Regionalnego w ramach Regionalnego Programu Operacyjnego Województwa Łódzkiego na lata 2014-2020.
Optical and electrical properties of ultrathin transparent nanocrystalline boron-doped diamond electrodes
- Michał Sobaszek
- Łukasz Skowroński
- Robert Bogdanowicz
- K. Siuzdak
- Anna Cirocka
- Patrycja Zięba
- Marcin Gnyba
- Mieczysław Naparty
- Łukasz Gołuński
- Piotr Płotka
2015 OPTICAL MATERIALS
The optical properties of ultrathin (less than 100 nm) boron-doped nanocrystalline diamond (B-NCD) film were investigated in a wavelength range of 200 ÷ 20000 nm. The B-NCD refractive index showed values close to that of monocrystalline diamond (n = 2.45) in a broad wavelength range (450 ÷ 4000 nm). A transmittance up to 70% and the average film thickness of 70 nm were achieved. A special cone-shaped shim was used in the deposition process. Ultrathin nanocrystalline films were deposited on silicon substrates using the Microwave Plasma Assisted Chemical Vapour Deposition (MW PA CVD) method. Cyclic voltammetry (CV) measurements in aqueous media consisting of 5 mM K3[Fe(CN)6] in 0.1 M Na2SO4 demonstrated a width of the electrochemical window up to 2.5 V. The evolution of the surface morphology was analysed using a scanning electron microscope (SEM) and an atomic force microscope (AFM). The chemical composition of B-NCD films was examined with micro-Raman Spectroscopy. The Raman spectra included a diamond peak and a nanocrystalline diamond band at 1330-1333 cm-1 and 1126-1143 cm 1, respectively. The thickness and optical properties of ultrathin B-NCD film in UV-MIR wavelength range were investigated using spectroscopic ellipsometry.
Optical Coherence Tomography for nanoparticles quantitative characterization
- Michał Trojanowski
- Maciej Kraszewski
- Marcin Strąkowski
- Jerzy Pluciński
2015
The unique features of nanocomposite materials depend on the type and size of nanoparticles, as well as their placement in the composite matrices. Therefore the nanocomposites manufacturing process requires inline control over certain parameters of nanoparticles such as dispersion and concentration. Keeping track of nanoparticles parameters inside a matrix is currently a difficult task due to lack of a fast, reliable and cost effective way of measurement that can be used for large volume samples. For this purpose the Optical Coherence Tomography (OCT) has been used. OCT is an optical measurement method, which is a non-destructive and non-invasive technique. It is capable of creating tomographic images of inner structure by gathering depth related backscattered signal from scattering particles. In addition, it can analyse, in a single shot, area of the centimetre range with resolution up to single micrometres. Still to increase OCT measurement capabilities we are using additional system extensions such as Spectroscopic OCT (SOCT). With such addition, we are able to measure depth related parameters such as scattering spectra and intensity of backscattered signal. Those parameters allow us to quantitatively estimate nanoparticles concentration. Gaining those, information allows to calculate volume concentration of nanoparticles. In addition, we analyse metallic oxides nanoparticles. To fully characterize nanoparticles it is necessary to find and differentiate those that are single particles from agglomerated ones. In this contribution we present our research results on using the LCI based measurement techniques for evaluation of materials with nanoparticles. The laboratory system and signal processing algorithms are going to be shown in order to express the usefulness of this method for inline constant monitoring of the nanocomposite material fabrication.
Optical properties of the chemotherapy drugs used in the central nervous system lymphoma therapy: monitoring drug delivery
- Teemo Myllylä
- Alexey P. Popov
- Łukasz Surażyński
- Joonas Oinas
- Olga Bibikova
- Alexander Bykov
- Maciej Wróbel
- Marcin Gnyba
- Małgorzata Szczerska
- Igor Meglinski
- Outi Kuittinen
2015
Our aim is to optically monitor the delivery of the chemotherapy drugs for brain tumours, particularly used in the central nervous system (CNS) lymphoma therapy. In vivo monitoring would help to optimize the treatment and avoiding unnecessary medications. Moreover, it would be beneficial to be able to measure which of the multi-regimen drugs actually do penetrate and how well into the brain tissue. There exist several potential optical measurement techniques to be utilised for the purpose. The most desired method would allow the detection of the drugs without using optical biomarkers as a contrast agent. In this case, for non-invasive sensing of the drug in the brain cortex, the drug should have a reasonably strong optical absorption band somewhere in the range between 600 nm and 1700 nm, and not directly coincident with the strong bands of haemoglobin or water. Alternatively, mid-infrared (MIR) range has the potential for invasive drug monitoring techniques. In this paper, we report the optical properties of several chemotherapy drugs used in CNS lymphoma therapy, such as rituximabi, cyclophosphamide and etoposide. We measured their transmittance and reflectance spectra in near-infrared (NIR) range, particularly 900 nm − 2500 nm, to be considered when choosing the in vivo monitoring method to be developed. The absorption and scattering coefficients were retrieved from the measurements and applying Beer’s law. For the measurement of the sum of total transmission and reflection in NIR range we used integrating sphere with spektralo to enable calculation of the scattering coefficient. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Optically transparent boron-doped nanocrystalline diamond films for spectroelectrochemical measurements on different substrates
- Michał Sobaszek
- Katarzyna Siuzdak
- Łukasz Skowroński
- Robert Bogdanowicz
- Jerzy Pluciński
2015
Fabrication process of optically transparent boron nanocrystalline diamond (BNCD) electrode on silicon and quartz substrate was shown. The B-NCD films were deposited on the substrates using Microwave Plasma Assisted Chemical Vapor Deposition (MWPACVD) at glass substrate temperature of 475 ºC. A homogenous, continuous and polycrystalline surface morphology with high sp3 content in B-NCD films and film thickness depending from substrate in the range of 60-300 nm was obtained. The high refraction index and transparency in visible (VIS) wavelength range was achieved. Moreover, cyclic voltammograms (CV) were recorded to determine reaction reversibility at the B-NCD electrode. CV measurements in aqueous media consisting of 1 mM K3[Fe(CN)6] in 0.5 M Na2SO4 demonstrated relatively fast kinetics expressed by a redox peak splitting below 503 mV for B-NCD/silicon and 110 mv for B-NCD/quartz.
Optimal backbone coloring of split graphs with matching backbones
- Krzysztof Turowski
2015 Pełny tekst Discussiones Mathematicae Graph Theory
For a graph G with a given subgraph H, the backbone coloring is defined as the mapping c: V(G) -> N+ such that |c(u)-c(v)| >= 2 for each edge uv \in E(H) and |c(u)-c(v)| >= 1 for each edge uv \in E(G). The backbone chromatic number BBC(G;H) is the smallest integer k such that there exists a backbone coloring with max c(V(G)) = k. In this paper, we present the algorithm for the backbone coloring of split graphs with matching backbone.
Optimal shape design of multi-element trawl-doors using local surrogate models
- Leifur Leifsson
- Elvar Hermannsson
- Sławomir Kozieł
2015 Journal of Computational Science
Trawl-doors have a large influence on the fuel consumption of fishing vessels. Design and optimiza-tion of trawl-doors using computational models are a key factor in minimizing the fuel consump-tion. This paper presents an optimization algorithm for the shape design of trawl-door shapes using computational fluid dynamic (CFD) models. Accurate CFD models are computationally expensive. Therefore, the direct use of traditional optimization algorithms, which often require a large number of evaluations, may be prohibitive. The proposed approach is iterative and uses low-order local response surface approximation models of the expensive CFD model, constructed in each iteration, to reduce the number of evaluations. The algorithm is applied to the design of a multi-element trawl-doors, involving up to four design variables controlling the angle of attack and the slat and flap position and orientation. The results show that a satisfactory design can be obtained at the cost of a few iterations of the algorithm.
Optimal spindle speed determination for vibration reduction during ball-end milling of flexible details
- Krzysztof Jan Kaliński
- Marek Galewski
2015 INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
In the paper a method of optimal spindle speed determination for vibration reduction during ball-end milling of flexible details is proposed. In order to reduce vibration level, an original procedure of the spindle speed optimisation, based on the Liao–Young criterion, is suggested. As the result, an optimal, constant spindle speed value is determined. For this purpose, on-stationary computational model of machining process is defined. As a result of modelling, a hybrid system is described. This model consists of following subsystems, i.e. stationary model of one-side-supported flexible workpiece (modal sub-system), non-stationary discrete model of ball-end mill (structural subsystem) and conventional contact point between tool and workpiece (connective subsystem). The method requires identification of some natural frequencies of stationary modal subsystem. To determine them, appropriate modal experiments have to be performed on the machine tool, just before machining. Examples of vibration surveillance during cutting process on two high speed milling machines Mikron VCP 600 and Alcera Gambin 120CR are illustrated.
Optimised allocation of actuators for DWDS
- Grzegorz Ewald
- Tomasz Zubowicz
- Mieczysław Brdyś
2015 JOURNAL OF PROCESS CONTROL
This paper addresses the problem of actuators’ allocation within networked structured system, namely allocation of disinfectant booster stations within Drinking Water Distribution System (DWDS), under receding horizon optimised control – Model Predictive Control (MPC) to be exact. The allocation task is kept within dynamic multiobjective optimisation framework. The MPC is defined as a single objective predictive operator. Two numerical examples illustrating the results of allocation procedure are given. The algorithm utilises multiple water quality and quantity scenarios to justify the allocation under normal and disturbed water quality operational conditions.
Optimising approach to designing kernel PCA model for diagnosis purposes with and without a priori known data reflecting faulty states
- Michał Grochowski
- Maciej Matczak
- Michał Sokołowski
2015
Fault detection plays an important role in advanced control of complex dynamic systems since precise information about system condition enables efficient control. Data driven methods of fault detection give the chance to monitor the plant state purely based on gathered measurements. However, they especially nonlinear, still suffer from a lack of efficient and effective learning methods. In this paper we propose the two stages learning algorithm for designing the kernel Principal Component Analysis (kPCA) model parameters in two cases: with access to data reflecting the faulty states of the plant and without such data. The method is explained on simple testing example and verified in the case study showing the efficiency of detecting the leakages in drinking water distribution systems.
Optimization of Graphene Oxide Synthesis and Its Reduction
- Izabela Kondratowicz
- Kamila Sadowska
- Wojciech Sadowski
2015
In this article, we present the review of the chemical methods of synthesis of graphene oxide and its reduction in order to obtain the so-called reduced graphene oxide (rGO) whose properties are similar to those of pure graphene. We also present our experiments and the results in this field and the comparison of the efficiency of different methods of synthesis as well as the reduction of graphene oxide. To characterize the obtained materials, we used UV–Vis spectroscopy, FTIR and Raman spectroscopy, and scanning electron microscopy (SEM). As a conclusion, we propose three methods of GO synthesis that allow to obtain the most oxidized materials followed by the use of hydrazine as a reducing agent. Among many methods of graphene synthesis, chemical methods remain the simplest and cost-effective. The rGO as a derivative of pure graphene possesses good electrical properties and thus can be applied in many fields such as electronics, photonics, and medicine.
Optimization of Hydrogen - Evolving Photochemical Molecular Devices
- M. Pfeffer
- Tanja Kowacs
- Maria Wachtler
- Julien Guthmuller
- Benjamin Dietzek
- Johannes Vos
- Sven Rau
2015 ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
A molecular photocatalyst consisting of a RuII photocenter, a tetrapyridophenazine bridging ligand, and a PtX2 (X=Cl or I) moiety as the catalytic center functions as a stable system for light-driven hydrogen production. The catalytic activity of this photochemical molecular device (PMD) is significantly enhanced by exchanging the terminal chlorides at the Pt center for iodide ligands. Ultrafast transient absorption spectroscopy shows that the intramolecular photophysics are not affected by this change. Additionally, the general catalytic behavior, that is, instant hydrogen formation, a constant turnover frequency, and stability are maintained. Unlike as observed for the Pd analogue, the presence of excess halide does not affect the hydrogen generation capacity of the PMD. The highly improved catalytic efficiency is explained by an increased electron density at the Pt catalytic center, this is confirmed by DFT studies.
Optimization of Polycrystalline CVD Diamond Seeding with the Use of sp³/sp² Raman Band Ratio
- Łukasz Gołuński
- Michał Sobaszek
- Mateusz Gardas
- Marcin Gnyba
- Robert Bogdanowicz
- Mateusz Ficek
- Piotr Płotka
2015 Pełny tekst ACTA PHYSICA POLONICA A
The influence of various nanodiamond colloids used for seeding nondiamond substrates in microwave plasma enhanced chemical vapour deposition diamond process was investigated. Colloids based on deionized water, isopropanol alcohol and dimethyl sulfoxide (DMSO) were used with different grain size dispersion: 150, 400 and 35 nm, respectively. The influence of growth time was also taken into consideration and bias enhanced nucleation. Microcrystalline diamond films were deposited on the seeded substrates in microwave plasma chemical vapour deposition using hydrogen-methane gas mixture. Seeding efficiency was investigated by means of scanning electron microscopy and Raman spectroscopy. Authors defined the new factor called as diamond ideality factor (di) which can give a quick estimation of quality of film and relative sp³ content. Few main peaks were identified at the following wave numbers: diamond sp³ peak 1332 cm^{-1}, D band peak 1355 cm^{-1}, C-H bending peak 1440-1480 cm^{-1} and G band peak 1560 cm^{-1}. The best di was achieved for DMSO based colloid in all cases. The application of bias enhanced nucleation increases the diamond crystals size and the sp³/sp² ratio.
Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units
- Joanna Porter-Sobieraj
- Sebastian Cygert
- Kikoła Daniel
- Jan Sikorski
- Marcin Słodkowski
2015 CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
This paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for the extensive generation of a time series of 3D grids of arbitrary size used in the computation of collisions between heavy nuclei in terms of relativistic hydrodynamics. It proved that implementation based on surface memory is as much as 23% faster than an equivalent implementation using shared memory
Optoelectronic device for hematocrit measurements
- Marzena Hirsch
- Daria Majchrowicz
- Adam Mazikowski
2015
An optoelectronic system for measurements of hematocrit level (HCT) in the whole human blood is presented. Proposed system integrates a dedicated optoelectronic sensor, a microcontroller and a small LCD display in a low cost, battery-powered, handheld device. Chosen method for determining blood hematocrit level is based on optical properties of whole blood in visible and NIR wavelength range. Measurements with the use of proposed system require blood samples (small drop in the range of microliters) which is placed in the micro cuvette. Then, absorption of the sample is measured at wavelengths of 570 nm and 880 nm. Prototype of the device was build and tested. Test results confirmed proper operation of the device with correct metrological parameters in application to HCT level measurements. Such a portable device can be used as a tool of bedside diagnosis, which becomes interesting alternative to full laboratory tests. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only
Optymalizacja nieciągłych funkcji wielomodalnych z wykorzystaniem kooperacyjnego algorytmu koewolucyjnego
- Łukasz Kuczkowski
- Roman Śmierzchalski
2015 Pełny tekst Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
W artykule przedstawiono algorytmy koewolucyjne, heurystyczną metodę rozwiązywania złożonych obliczeniowo problemów opartą na zasadzie korelacji oraz darwinowskiej teorii ewolucji. Opisano zalety algorytmu, możliwe zastosowania, sposób działania oraz niektóre z dotychczasowych implementacji. Następnie wybrano trzy wielomodalne lub nieciągłe funkcje testowe: Rosenbrocka, Styblinskiego-Tanga oraz Schaffer’a. Dokonano dekompozycji problemu wyznaczenia minimum globalnego funkcji i przeprowadzono optymalizację wykorzystując kooperacyjny algorytm koewolucyjny. Uzyskane wyniki pozwoliły na ocenę jakości działania algorytmu. Przeprowadzone testy i ich rezultaty są wstępem do szerszych badań nad algorytmami koewolucyjnymi.
Optymalizacja parametrów aplikacji w procesie wytwarzania oprogramowania dla Big Data
- Paweł Kaczmarek
2015 Pełny tekst Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Wytwarzanie oprogramowania wiąże się z szeregiem decyzji projektowych obejmujących architekturę aplikacji, wykorzystywane technologie implementacji, jak i zewnętrzne biblioteki. W pracy przedstawiono metodę wyboru technologii i bibliotek związanych z big data, której celem jest optymalizacja atrybutów aplikacji takich jak wydajność działajacej aplikacji jak również optymalizacja procesu wytwarzania oprogramowania. Metoda wyboru obejmuje identyfikację parametrów bibliotek, okreslenie ograniczeń i celu optymalizacji. Na podstawie tych danych następuje ocena alternatywnych rozwiązań i wybór optymalnego wykorzystując metody optymalizacji wielokryterialnej. W kontekście zaproponowanej metody opisano wybrane systemy wspomagające.
Optymalizacja podatkowa przedsiębiorców – granice prawa a granice bezpieczeństwa
- Wojciech Wyrzykowski
2015 Zarządzanie i Finanse
Optymalizacja podatkowa jest kategorią niezbędną w działalności każdego podmiotu gospodarczego. Niestety przepisy prawa podatkowego nie wyzna-czają zakresu dopuszczalnych prawem działań optymalizujących. Działaniom takim nie sprzyjają: niejasne i niestabilne przepisy prawne, ukierunkowanie sytemu podatkowego wyłącznie na cele fiskalne, brak strategii podatkowych wobec przedsiębiorców oraz niewystarczający poziom edukacji podatkowej. Państwo nie wykorzystuje stymulacyjnych funkcji podatków. Przedsiębiorcy wskazują na brak poczucia bezpieczeństwa podatkowego i stale zbyt wysokie ryzyko podejmowania działań optymalizujących podatki. Skala wprowadza-nych zmian w tym zakresie stale nie satysfakcjonuje przedsiębiorców.
Optymalizacja procesu aparaturowego wytwarzania farb proszkowych
- Ryszard Bielski
- Radosław Drozd
2015
Głównym założeniem artykułu jest optymalizacja procesu aparaturowego wytwarzania farb proszkowych w przedsiębiorstwie X. Autorzy przeprowadzili mapowanie strumienia wartości VSM oraz zaproponowali własne rozwiązanie umożliwiające eliminację najistotniejszych zakłóceń, których przyczyna wynika głównie z pracy personelu obsługującego aparaturową linię produkcyjną. Na końcu wskazano udoskonalenia w zakresie rozwoju czynnika ludzkiego w procesie aparaturowym.
Optymalizacja rozkładu jazdy na kolei z uwzględnieniem efektywności hamowania odzyskowego.
- Michał Urbaniak
2015 Pełny tekst Logistyka
Na wstępie artykułu przybliżono czytelnikowi, czym jest rozkład jazdy na sieci kolejowej, na czym polega jego optymalizacja oraz odwołano się do literatury opisującej proces jego konstrukcji. W dalszej części przedstawiono kryteria optymalizacji rozkładu jazdy i zaproponowano podejście od strony efektywności wykorzystania energii pochodzącej z hamowania rekuperacyjnego, realizowanego metodą odzysku bezpośrednio do sieci trakcyjnej. Przedstawiono również inne metody wykorzystania energii z rekuperacji przy zastosowaniu zasobników pokładowych lub umieszczonych w podstacji trakcyjnej. Następnie zaprezentowano ideę optymalizacji pod kątem efektywności hamowania rekuperacyjnego i określono czynniki ją determinujące. Na koniec przedstawiono możliwości poprawy omawianej efektywności. Zasugerowano również globalne spojrzenie na aspekt optymalizacji rozkładu jazdy jako dokumentu determinującego bezpieczne, efektywne i co ważne ekonomiczne funkcjonowania ruchu na kolei.