24 research outputs found
ATPG Modification for Complex Gates
46 s. :obr. +1 CD ROMBakalářská práce se zabývá navržením a implementací rozšíření existujícího ATPG prozpracování komplexních hradel. Rozšíření se týká aplikace Atalanta, která umí testovat pouze základní jedno-vstupá a částečně dvou-vstupá hradla. Vzhledem k rozšiřujícímu trendu v oblasti číslicových obvodů je tato schopnost nedostatečná, proto bude aplikace rozšířena o možnost testování tří-vstupých až šesti-vstupých hradel
Depth drilling in geology
Cílem bakalářské práce je vytvořit přehled používaných technologií a techniky pro hloubkové vrtání v geologii. V bakalářské práci jsou popsány používané způsoby hloubení vrtů. Dále jsou zde popsány běžně využívané vrtné soupravy. Další část se věnuje vrtným nástrojům a jejich pracovním režimům. Poslední část bakalářské práce je zaměřena na celkový pohled na vrtný proces a jeho vztah k ekologii.This bachelor thesis is focused on research of technologies and equipment of depth drilling in geology. This thesis contains description of methods used for borehole drilling. Furthermore, the description of common drill rigs is included. The thesis also deals with drilling tools and their working modes. Another part of the thesis is focused on the overall view of the borehole drilling process and its connection with ecology.
Electroerosive sinking of technical ceramics
Diplomová práce se zabývá elektroerozivním obráběním. První část práce se věnuje studii technologie elektroerozivního hloubení. V experimentální části je provedeno elektroerozivní hloubení keramiky na bázi karbidu křemíku. Následné vyhodnocení zkoumá vliv technologických parametrů EDM hloubení, konkrétně pracovního proudu, zapalovacího napětí a času jednoho pulzu, na kvalitu obrobeného povrchu. Dále byl proveden rozbor nástrojových elektrod, zkoumáno bylo opotřebení v rozích, jedná se o nejvíce opotřebovávanou část elektrody, která má klíčový vliv na hloubení dle požadovaných rozměrů v dané přesnosti. Zkoumána byla také rychlost obrábění.The master’s thesis deals with the topic of electrical discharge machining. The first part of the thesis contains a study of the die-sinking EDM. The die-sinking EDM of the silicon carbide ceramic is realized in the experimental part of the thesis. The result of this work was to explore the influence of the EDM sinking parameters, specifically pulse current, open-voltage and pulse on-time, on the machined surface. Furthermore, the analysis of the tool electrode was made. This analysis was focused on the wear in the corners, which has key influence on accuracy of the machining. The machining time was also examined.
Urban Commuting and Daytime Population in Small Areas of a Metropolis:A Case Study of Brno, Czech Republic
A simplified modelling approach to urban commuting patterns is achieved by focusing on daytime populations rather than on commuters, or on the commuting process itself. Whereas past studies were usually economic in nature, and viewed commuting as a process within the continuum of urban space and time, the approach addressing daytime populations transforms the modelling attempt into a demographic deliberation of a binary situation where switching of values between daytime and night-time indicators in each subarea throughout a metropolis is considered. The present study shows that such a focus on diurnal change as a binary concept offers a new paradigm in conceptualizing metropolitan commuting and transportation. Under certain assumptions, rooted in recent observations of metropolitan areas elsewhere, this study conjectures an analytic function for the estimation of daytime populations in small areas throughout the metropolitan region of Brno, Czech Republic. The conjectured relationship is a logistic function that utilizes as its independent variable the average household size in each of the subareas throughout the metropolitan region. Based on the data from the Czech census of 2001, the distributions of average household size and of residential populations throughout the metropolitan region are applied in a case study illustrating the utility of the proposed approach for the estimation of daytime populations throughout the region. The iterative procedure advanced here offers considerable potential for further applications elsewhere.
KEY WORDS: metropolitan commuting, urban transportation, Brno, daytime population, average household size, logistic function, small area demograph
Transfer Learning on Structural Brain Age Models to Decode Cognition in MS: A Federated Learning Approach.
Introduction. Classical deep learning research requires lots of centralised data. However, data sets are often stored at different clinical centers, and sharing sensitive patient data such as brain images is difficult. In this manuscript, we investigated the feasibility of federated learning, sending models to the data instead of the other way round, for research on brain magnetic resonant images of people with multiple sclerosis (MS).
Methods. Using transfer learning on a previously published brain age model, we trained a model to decode performance on the symbol digit modalities test (SDMT) of patients with MS from structural T1 weighted MRI. Three international centers in Brussels, Greifswald and Prague participated in the project. In Brussels, one computer served as the server coordinating the FL project, while the other served as client for model training on local data (n=97). The other two clients were Greifswald (n=104) and Prague (n=100). Each FL round, the server sent a global model to the clients, where its fully connected layer was updated on the local data. After collecting the local models, the server applied a weighted average of two randomly picked clients, yielding a new global model.
Results. After 22 federated learning rounds, the average validation loss across clients reached a minimum. The model appeared to have learned to assign SDMT values close to the mean with a mean absolute error of 9.04, 10.59 and 10.71 points between true and predicted SDMT on the test data sets of Brussels, Greifswald and Prague respectively. The overall test MAE across all clients was 10.13 points.
Conclusion. Federated learning is feasible for machine learning research on brain MRI of persons with MS, setting the stage for larger transfer learning studies to investigate the utility of brain age latent representations in cognitive decoding tasks
Ablation of single-crystalline cesium iodide by extreme ultraviolet capillary-discharge laser
Extreme ultraviolet (XUV) capillary-discharge lasers (CDLs) are a suitable source for the efficient, clean ablation of ionic crystals, which are obviously difficult to ablate with conventional, long-wavelength lasers. In the present study, a single crystal of cesium iodide (CsI) was irradiated by multiple, focused 1.5-ns pulses of 46.9-nm radiation delivered from a compact XUV-CDL device operated at either 2-Hz or 3-Hz repetition rates. The ablation rates were determined from the depth of the craters produced by the accumulation of laser pulses. Langmuir probes were used to diagnose the plasma plume produced by the focused XUV-CDL beam. Both the electron density and electron temperature were sufficiently high to confirm that ablation was the key process in the observed CsI removal. Moreover, a CsI thin film on MgO substrate was prepared by XUV pulsed laser deposition; a fraction of the film was detected by X-ray photoelectron spectroscopy.Web of Science65421020
Electroerosive sinking of technical ceramics
The master’s thesis deals with the topic of electrical discharge machining. The first part of the thesis contains a study of the die-sinking EDM. The die-sinking EDM of the silicon carbide ceramic is realized in the experimental part of the thesis. The result of this work was to explore the influence of the EDM sinking parameters, specifically pulse current, open-voltage and pulse on-time, on the machined surface. Furthermore, the analysis of the tool electrode was made. This analysis was focused on the wear in the corners, which has key influence on accuracy of the machining. The machining time was also examined