Electronic Circuits Simulation

Cílem této bakalářské práce je seznámit se s nejpopularnějšími numerickými metodami pro výpočet diferenciálních rovnic, elektronických obvodů a simulačních programů. První část této práce je zaměřena na výpočet s využitím metody Taylorovy řady a jejích paralelních vlastností. V další kapitole budou popsány metody  pro výpočet elektronických obvodů, proces návrhu modelu CMOS invertoru, CMOS NANDu a CMOS NORu. Závěrečná část této prace je zaměřena na simulaci těchto obvodů v různých simulačních programech a shodnocení efektivity jednotlivých metod.The aim of this bachelor thesis is to introduce the most popular numerical methods for solving differential equation. Following part describe a electronic circuits and simulation programs. First part of this thesis is focused on the Taylor series method computation and its parallel solution. In another chapters, it will be describe the methods for solution of electronic circuits, the process of designing a model of CMOS inverter, CMOS NAND and CMOS NOR. The final part of this thesis is focused on simulation in various simulation programs and evaluation of the effectiveness of individual methods.

Assessment of the Economic Situation in the Corporation (Private or Public) Using the Selected Methods, Proposals and Recommendations for its Improvement

Tato diplomová práce se zabývá hodnocením ekonomické situace zvolené korporace a poskytuje návrhy na její zlepšení. V první části práce jsou popsána teoretická východiska jednotlivých analýz, která slouží jako teoretický podklad. V druhé části práce je uvedena charakteristika vybraného subjektu a dle poznatků z teoretické části je provedeno několik analýz zkoumající současný stav. V třetí části jsou na základě výsledků z jednotlivých analýz vypracovány návrhy na zlepšení zjištěné situace podniku.This diploma thesis deals with the evaluation of the economic situation of the selected corporation and provides suggestions for its improvement. The first part of the thesis describes the theoretical basis of individual analyzes, which serve as a theoretical basis. In the second part of the work, the characteristics of the selected subject are given and according to the findings from the theoretical part, several analyzes examining the current state are performed. In the third part, based on the results of individual analyzes, suggestions are made to improve the identified situation of the company.

A weather forecast model accuracy analysis and ECMWF enhancement proposal by neural network

This paper presents a neural network approach for weather forecast improvement. Predicted parameters, such as air temperature or precipitation, play a crucial role not only in the transportation sector but they also influence people's everyday activities. Numerical weather models require real measured data for the correct forecast run. This data is obtained from automatic weather stations by intelligent sensors. Sensor data collection and its processing is a necessity for finding the optimal weather conditions estimation. The European Centre for Medium-Range Weather Forecasts (ECMWF) model serves as the main base for medium-range predictions among the European countries. This model is capable of providing forecast up to 10 days with horizontal resolution of 9 km. Although ECMWF is currently the global weather system with the highest horizontal resolution, this resolution is still two times worse than the one offered by limited area (regional) numeric models (e.g., ALADIN that is used in many European and north African countries). They use global forecasting model and sensor-based weather monitoring network as the input parameters (global atmospheric situation at regional model geographic boundaries, description of atmospheric condition in numerical form), and because the analysed area is much smaller (typically one country), computing power allows them to use even higher resolution for key meteorological parameters prediction. However, the forecast data obtained from regional models are available only for a specific country, and end-users cannot find them all in one place. Furthermore, not all members provide open access to these data. Since the ECMWF model is commercial, several web services offer it free of charge. Additionally, because this model delivers forecast prediction for the whole of Europe (and for the whole world, too), this attitude is more user-friendly and attractive for potential customers. Therefore, the proposed novel hybrid method based on machine learning is capable of increasing ECMWF forecast outputs accuracy to the same level as limited area models provide, and it can deliver a more accurate forecast in real-time.Web of Science1923art. no. 514