Monitoring Wears of Intelligent Cutting Tools

Import 03/08/2012Hlavním cílem bakalářské práce je sledování opotřebení inteligentních řezných nástrojů. Materiálem řezného nástroje je keramika na bázi nitridu křemíku s nanesenou odporovou vrstvou. V první části je zpracován teoretický rozbor soustavy SNOP s použitými částmi. Následující kapitola rozebere problematiku opotřebení řezného nástroje a jeho měření. Dále bude popsána řezná keramika se zaměřením na nitridovou keramiku. Hlavní část práce zpracuje naměřené výsledky, graficky vyhodnotí závislost opotřebení na čase. Výsledky získané z experimentu jsou shrnuty v závěru práce.The monitoring wears of intelligent cutting tools is the chief reason of my thesis. The material of cutting tools is ceramic on the basis of silicon nitride coated with a resistive layer. First of all is processed theoretical analysis of system SNOP with used parts. Next chapter parses problems of wears of cutting tool and measurement of it. In the following chapter will be described cutting cerramic with a view to nitrid ceremic. Main body of my work processes measured results and graphically interpret wears dependence on time. Results taken from experiment are summarised in the end of my work.346 - Katedra obrábění a montáževýborn

Dynamics of Megaelectron Volt Electrons Observed in the Inner Belt by PROBA-V/EPT

Using the observations of the EPT (Energetic Particle Telescope) onboard the satellite PROBA-V we study the dynamics of inner and outer belt electrons from 500 keV to 8 MeV during quiet periods and geomagnetic storms. This high time-resolution (2 sec) spectrometer operating at the altitude of 820 km on a low polar orbit is providing continuously valuable electrons fluxes for already 5 years. We emphasize especially that some MeV electrons are observed in low quantities in the inner belt, even during periods when they are not observed by Van Allen Probe (VAP). We show that they are not due to proton contamination but to clear injections of particles from the outer belt during strong geomagnetic storms of March and June 2015, and September 2017. Electrons with lower energy are injected also during less strong storms and the L-shell of the electron flux peak in the outer belt shifts inward with a high dependence on the electron energy. With the new high resolution EPT instrument, we can study the dynamics of relativistic electrons, including MeV electrons in the inner radiation belt, revealing how and when such electrons are injected into the inner belt and how long they reside there before being scattered into the Earth's atmosphere or lost by other mechanisms

Cope with Stress in Manager Life

The article deals with stress mainly in managerial positions. Stress is much extended in all aspects of our life and employment is an important factor which increases the level of stress. Managers have specific place between other occupations. At first the paper describes the most frequent stressors generally and kinds of coping stress methods. Then there are introduced some groups of stressors which are more frequent in managerial positions. The paper is closed by preventive methods of coping stress

Organic versus conventional potatoes – is there basis for consumers preference?

The aim of this study was to investigate the influence of growing conditions on the quality of potatoes from organic farming systems as compared to that from conventional farming. In our previous study conducted in the years 1996 – 1999 we recognised some differences between the potatoes (Solanum tuberosum) from organic and conventional farming. To demonstrate the general validity of observed trends, follow up study was established in Czech Republic in the years 2002-2005. The ultimate goal of the project was to collate data for the assessment of a potential influence of foods from organic production system on consumers´ health by studying differences between potatoes grown in both systems (for this purpose the levels of potentially toxic compounds as well as nutritionally valuable components with regard to variety, geo-graphical location and inter-annual variation were determined)

Using the Balanced Scorecard concept for employee remuneration

This article discusses the fairness of rewards and their motivational effects. It employs the idea that in order to drive higher productivity through the feeling of fair reward, it is advisable that employees are acquainted with the factors influencing the amount of the reward. Based on a survey performed in a major telecommunications com-pany, the article illustrates how to break down targets to those for specific employees. This breakdown is realised by means of the Balanced Scorecard concept and thus the acquired balanced set of criteria is used for personal bonus calculations. The benefits of the proposed solution are not only knowledge on individual staff contributions to the objectives of the company, but also the unusual use of metrics instead of objectives by breaking the compa-ny down into smaller scale levels

Detection of defects in X-Ray images using Neural Networks

Tato práce si klade za cíl shrnout různé techniky zlepšování a nejmodernější přístupy použitelné pro úkoly v oblasti lékařského zobrazování. S těmito zna-lostmi jsou implementovány a trénovány modely konvolučních neuronových sítí na datovém souboru muskuloskeletálních rentgenových snímků. Je sledo-ván a diskutován dopad na výkon modelu použitím více metod předzpracování dat.This thesis aims to summarize different improvement techniques and state of the art approaches usable for tasks in medical imaging domain. With this knowledge, convolutional neural network models are implemented and and trained on a musculoskeletal radiographs dataset. The impact on model performance by applying multiple preprocessing methods is watched and discussed

Enhancing LLM Performance Through an Agentic Approach in Retrieval-Augmented Generation

Tato práce zkoumá přístupy k integraci používání nástrojů a agentních přístupů do systémů využívajících velkých jazykových modelů (\textit{large language model}, LLM). Představuje návrh a implementaci agentního LLM systému rozšířeného o funkcionalitu volání nástrojů pro zpracování geoprostorových dat. Hlavním cílem práce bylo vyvinout systém, který kombinuje schopnosti porozumění jazyku LLM s externími nástroji pro rozšíření jejich schopností v oblasti prostorové analýzy, vyhledávání dat a získávání znalostí. Vyvinutý systém nazvaný GeoChat Assistant umožňuje interaktivní dotazování nad uživatelem definovanou geografickou oblastí a dynamicky využívá specializované nástroje pro prostorové výpočty a získávání dat z webových mapových služeb (\textit{web map service}, WMS), veřejných API a dalších zdrojů geoprostorových dat. Je postaven na frameworku LangGraph, který orchestruje volání nástrojů, generování odpovědí a celkové rozhodování systému. Tato práce také vyhodnocuje efektivitu systému na vlastní datové sadě geoprostorových úloh, experimentuje s různými LLM a měří jejich vliv na výkonnost volání nástrojů a kvalitu odpovědí. GeoChat Assistant byl také testován experty z dané oblasti a sesbíral relevantní lidská ohodnocení svých schopností. Výsledky ukazují, že systémy LLM rozšířené o využívání nástrojů nabízejí výhody v oblasti doménově specifického uvažování a zpracování komplexních multimodálních dat.This thesis explores the approaches for integrating tool use and agency into Large Language Model (LLM) systems. It presents the design and implementation of an agentic LLM system augmented with tools for geospatial data processing. The main objective was to develop a system that combines the language understanding capabilities of LLMs with external tools to enhance functionality in spatial analysis, data retrieval, and knowledge extraction. The developed system, called GeoChat Assistant, enables interactive querying over a user-defined geographical area and dynamically invokes specialized tools for spatial computations and data retrieval from Web Map Services (WMS), public APIs, and other geospatial data sources. It is built on the LangGraph framework, which orchestrates the tool use, response generation, and decision-making. This thesis also evaluates the systems performance on a custom dataset of geospatial tasks, experimenting with various LLMs and measuring their impact on tool calling performance and response quality. GeoChat Assistant was also tested by domain experts, collecting relevant human assessments of its capabilities. Results demonstrate that tool-augmented LLM systems offer advantages in domain-specific reasoning and handling complex, multimodal data