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A multi-objective optimization procedure for locally adaptive time-frequency analysis with application in EEG signal processing
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Vedran Jurdana This dissertation addresses the challenges in the spectral representation of nonstationary signals using joint time-frequency distributions (TFDs). Heuristic time-frequency
methods introduce additional interfering energy clusters, while the wrong choice of parameters in advanced methods may lead to the loss of useful components, thus restricting
their practical use.
Existing concentration and entropy measures, along with their optimization methods,
are appropriate when the structure of...
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A shear deformable beam model for stability analysis of composite frames
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Damjan Banić This dissertation addresses the issue of non-linear stability of frame structures consisting of
thin-walled composite beam elements. To this end, a numerical approach is presented that involves the development of an original 1D finite element model. The research delves into several
key aspects. Firstly, the dissertation introduces the research problem and scientific motivation
and outlines the main objectives and purpose of the study. A brief overview of previous studies
on...
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An Intelligent System for Urinary Bladder Cancer Diagnostics
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Ivan Lorencin Objectives: Urinary bladder cancer is one of the most common malignancies of the urinary tract. It
begins when cells of the bladder mucosa start to grow uncontrollably with the tendention to spread.
Such a spread can cause cancer to expand to other parts of the human body. It is characterized
with a high metastatic potential and a high recurrence rate. For these reasons, the correct and
timely diagnosis and treatment is an absolute imperative. To increase the accuracy and speed of
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Analiza energetske učinkovitosti termotehničkih sustava s latentnim spremnikom topline
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Fran Torbarina U doktorskoj disertaciji provedena je numerička analiza izmjene topline u termotehničkim
sustavima grijanja koji koriste dizalicu topline i latentni spremnik topline, s ciljem povećanja
njihove energetske učinkovitosti. U tu svrhu, temeljem fizikalnog problema izmjene topline u
latentnom spremniku topline, postavljen je odgovarajući matematički model koji opisuje
nestacionarni problem izmjene topline između fluida prijenosnika topline i akumulatora topline
u latentnom...
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Analiza povećanja učinkovitosti cijevnih lamelnih izmjenjivača topline ugradnjom generatora vrtloga
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Josip Batista U radu je provedena numerička analiza strujanja i izmjene topline u unakrsnom cijevnom
lamelnom izmjenjivaču topline zrak-voda s generatorima vrtloga. Prilikom izrade numeričkog
modela, u obzir su uzete karakteristike strujanja i toplinski otpori na strani oba fluida. Za
postavljeni fizikalni problem izdvojen je segment u središtu izmjenjivača topline koji zajedno
s proširenjima u smjeru strujanja zraka predstavlja proračunsku domenu. Trodimenzijski
matematički model...
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Characterization of parameters influencing friction in the nanometric domain
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Marko Perčić Friction and wear are recognized as one of the most puzzling problems, not only in many
engineering and manufacturing applications, but also in a fundamental scientific sense. In fact,
friction is a nonlinear stochastic effect with a distinct time, position and temperature variability.
While frictional phenomena on the macro- and meso-scales can be considered well described,
and their characteristic features can be simulated via suitable models, as well as generally
efficiently...
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Design of miniaturized wearable broadband energy harvesters
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Petar Gljušćić Energy harvesting (EH) is the process of collecting low-level ambient energy and converting
it into electrical energy to be used for powering miniaturized autonomous devices, wearable
electronics or Internet-of-Things components. The use of kinetic energy, converted into electrical energy via the piezoelectric principle, is of special interest in this frame. The main drawback of piezoelectric EH devices is the narrow area of optimal operation around the eigenfrequency of a specific...
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Detection of gravitational - wave signals from time - frequency distributions using deep learning
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Nikola Lopac This thesis proposes a method for classifying noisy, non-stationary signals based on
deep learning algorithms and Cohen’s class of time-frequency distributions (TFDs). The
proposed approach is demonstrated on the challenging task of detecting gravitationalwave (GW) signals in intensive real-life, non-stationary, non-Gaussian, and non-white
noise. By retrieving real-life measurements from Laser Interferometer Gravitational-Wave
Observatory detectors and performing extensive GW waveform...
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Eksperimentalna i numerička analiza povećanja učinkovitosti latentnog spremnika topline
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Mateo Kirinčić U doktorskoj disertaciji provedena je eksperimentalna i numerička analiza izmjene topline pri
spremanju i korištenju topline iz latentnog spremnika topline u svrhu povećanja njegove
učinkovitosti. Razmatrani latentni spremnik topline izmjenjivač je topline konfiguracije snopa
cijevi u plaštu s uzdužnim lamelama na vanjskoj strani svake cijevi, koji kao akumulator topline
koristi parafin RT 25, smješten oko cijevi, a kao fluid prijenosnik topline vodu, koja struji kroz
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Enhanced station keeping analysis in early desig stage of offshore vessels
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Francesco Mauro In the early design stage, two different approaches are at disposal to perform Dynamic Positioning (DP) predictions: quasi-steady predictions or dynamic simulations. To carry out this kind of
calculations, typically the main issues are the thrust allocation and the position error estimation.
These topics are more related to control theory rather then to naval architecture. A detailed
analysis of the main aspects of DP from the hydrodynamic point of view leads to possible quality
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