Wyniki wyszukiwania - BazTech

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Numerical Simulation of Breast Cancer in the Early Diagnosis with Actual Dimension and Characteristics Using Photoacoustic Tomography

Ahangar Darband Maryam, Najafi Aghdam Esmaeil, Gharibi Arash

Archives of Acoustics

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2023

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Vol. 48, No. 1

25--38

EN

A numerical study and simulation of breast imaging in the early detection of tumors using the photoacoustic (PA) phenomenon are presented. There have been various reports on the simulation of the PA phenomenon in the breast, which are not in the real dimensions of the tissue. Furthermore, the different layers of the breast have not been considered. Therefore, it has not been possible to rely on the values and characteristics of the resulting data and to compare it with the actual state. Here, the real dimensions of the breast at three-dimensional and different constituent layers have been considered. After reviewing simulation methods and software for different stages of the PA phenomenon, a single suitable platform, which is commercially available finite element software (COMSOL), has been selected for simulating. The optical, thermal, elastic, and acoustic characteristics of different layers of breast and tumor at radiated laser wavelength (800 nm) were accurately calculated or obtained from a reliable source. Finally, by defining an array of 32 ultrasonic sensors on the breast cup at the defined arcs of the 2D slices, the PA waves can be collected and transmitted to MATLAB software to reconstruct the images. We can study the resulting PA wave and its changes in more detail using our scenarios.

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WOANet: Whale optimized deep neural network for the classification of COVID-19 from radiography images

Murugan R., Goel Tripti, Mirjalili Seyedali, Chakrabartty Deba Kumar

Biocybernetics and Biomedical Engineering

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2021

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Vol. 41, no. 4

1702--1718

EN

Coronavirus Diseases (COVID-19) is a new disease that will be declared a global pandemic in 2020. It is characterized by a constellation of traits like fever, dry cough, dyspnea, fatigue, chest pain, etc. Clinical findings have shown that the human chest Computed Tomography (CT) images can diagnose lung infection in most COVID-19 patients. Visual changes in CT scan due to COVID-19 is subjective and evaluated by radiologists for diagnosis purpose. Deep Learning (DL) can provide an automatic diagnosis tool to relieve radiologists’ burden for quantitative analysis of CT scan images in patients. However, DL techniques face different training problems like mode collapse and instability. Deciding on training hyper-parameters to adjust the weight and biases of DL by a given CT image dataset is crucial for achieving the best accuracy. This paper combines the backpropagation algorithm and Whale Optimization Algorithm (WOA) to optimize such DL networks. Experimental results for the diagnosis of COVID-19 patients from a comprehensive COVID-CT scan dataset show the best performance compared to other recent methods. The proposed network architecture results were validated with the existing pre-trained network to prove the efficiency of the network.

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Cechy osobowości studentów informatyki w kontekście gotowości zawodowej

Susłow W., Statkiewicz M., Kowalczyk J., Boińska M., Nowak J.

Zeszyty Naukowe Wydziału Elektroniki i Informatyki Politechniki Koszalińskiej

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2015

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Nr 8

97--115

PL

W pracy przedstawiono wyniki badań doświadczalnych będących kontynuacją interdyscyplinarnego projektu InfoPsycho. Celem badań przeprowadzonych na 93osobowej grupie osób studiujących kierunek Informatyka była detaliczna analiza wybranych cech osobowości będących korelatami neurotyczności. Autorzy spodziewali się uzyskania odpowiedzi na pytanie, w jakim stopniu takie cechy osobowości jak samoskuteczność, wrażliwość empatyczna, kontrola emocjonalna, pośpiech, rywalizacja i poczucie stresu psychologicznego mogą być czynnikami predykcyjnymi - będą mogły charakteryzować przyszłych deweloperów oprogramowania. Udało się scharakteryzować ogólny niski poziom neurotyczności dla badanej grupy, która okazała się dość jednolita względem badanych zmiennych. Skutkowało to odrzuceniem statystycznych hipotez o istotnej korelację między poziomem gotowości zawodowej studentów a ich cechami związanymi ze strefą emocjonalną.

EN

The paper presents results of experimental studies as a follow up of an interdisciplinary project InfoPsycho. The aim of the research conducted at the 93person group of students of Computer Science was selected retail analysis which correlates of personality traits of neuroticism. The authors expected to find answers to the question of the extent to which personality traits such as self-efficacy, empathic sensitivity, emotional control, hurry, rivalry and sense of psychological stress may be a predictors (will be able to characterize future software developers). Authors managed to characterize the overall low level of neuroticism for the study group, which turned out to be quite uniform in relation to the variables tested. This resulted in a rejection of the hypothesis of a significant statistical correlation between the level of professional readiness of students and their characteristics associated with emotional zone.

4

Cyclostationary and bilinear approaches for gears vibrating signals application to helicopter gear box diagnosis

Bouillaut L., Sidahmed M.

Prace Naukowe Instytutu Górnictwa Politechniki Wrocławskiej. Konferencje

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1999

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Vol. 86, nr 24

93-102

EN

Our study first deals a comparison between cyclostationarity and bilinearity, and then with different applications of these approaches. Using synthetic and indudtrial signals, we underline that cyclostationarity tools make it possible to determine non-linear links between two frequencies (Quadratic Phase Coupling). Then , we present different applications of cyclostationarity and bilinearity to helicopter noise. These methods enable us to obtain much more interesting results than classical methods such as Fourier, Spectrum, time-frequency studies. First, these techniques allow us to detect and to determine precisely a fault on the system. Moreover, the PSD presents a frequency which is not linked to any physical property of the engine. A cyclostationary study makes it possible to explain precisely the apparition of the frequency. Finally, we underlined a unusual modulation phenomenon. Usually, during a meshing phenomenon, the rotating frequency modulaters the meshing frequency; this is characterised by a spectrum with lateral bands around meshing harmonics. Here we encountered a meshing frequency which modulated another meshing frequency.