Software projects face a common problem that time is always not enough, and only a few projects can be finished on schedule and within budget. Projects often need to accelerate the progress to compensate the laggard portion, or to compress schedule to accommodate to the market competition. Opposite to the generality of the problem, researchers didn¡¦t focus on this field, and the quantitative studies had low degree of explanation. To study the issue, this thesis used the qualitative case study to interview four development teams. It is to understand how the compression methods of the teams work, and induce to three dimensions, including management, development process, and team structure. These teams have fundamentally different characters in order to find the most representative cases in limited samples. Finally, this thesis comprehends how the compression methods work, and how the teams use compression methods under which project characters. In addition to comparing the results with prior literature, new compression methods are also discovered. The final results of this research could serve as guidelines to the development teams that face the problem of schedule compression.

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Title: A Change in Blood Flow to the Muscle during Compression Therapy Objectives: The main objective of this work is to determine the change in muscle blood flow during compression therapy, specifically during flossing. Another objective is to get acquainted with compression techniques. Methods: In our work, we used an anamnesty questionnaire to get basic information about probabilities. Flossing was applied to the right shoulder for two minutes. The flow measurement was carried out on Précisé 8008 and the data were evaluated using descriptive statistics, testing using a linear model, an ANOVA and T-test. Results: We found that the development of blood flow to the biceps brachii muscle during and after application is variable. After application of flossing, there are statistically significant changes in blood flow to the upper limb (where flossing was applied) and subsequently, after application, there is an improvement in muscle blood flow (TcpO2). There is also a change in blood flow to the opposite limb (where flossing has not been applied), but this change is statistically significant at the time of the lowest blood flow to the limb where flossing was applied and 15 minutes after the lowest perfusion was measured. Furthermore, flossing was found not to return rapidly to baseline in the upper...

Su abonentų pozicija geografinėje erdvėje susijusi informacija naudojama labai įvairiose srityse: greitajai pagalbai teikti (112 paslauga), teisėsaugoje, krovinių transportavime (stebima kur šiuo metu yra transportuojami kroviniai), turizme, eismo sąlygų stebėjimui, artimiausių ligoninių, restoranų, lankytinų vietų paieškai, pramogoms, mobiliojo tinklo struktūros planavimui (nustačius kur yra didesnis abonentų susibūrimas, pastatoma daugiau bazinių stočių). Tokia su objektų pozicijomis susijusi informacija kaupiama Judančių Objektų duomenų bazėse (JODB), kuri yra judančių objektų sekimo sistemos dalis. Judančiu objektu laikomas toks objektas, kuris bėgant laikui keičia savo geografinę ir laikinę poziciją trimatėje x,y,t erdvėje. Anksčiau vietos informacijai rinkti buvo naudojama tik GPS technologija. GPS technologijos pagrindinis trūkumas tas, kad ji sunkiai veikia miesto tipo vietovėse ir praktiškai neveikia požeminiuose ir antžeminiuose statiniuose. Tačiau vystantis įvairiomis mobiliosiomis ir bevielėms technologijoms, daugėjant jų naudojimo vietų, atsiranda galimybė tokius duomenis rinkti pasinaudojant ne tik GPS, bet ir GSM, WLAN, Bluetooth ir kitomis bevielėmis technologijomis. Todėl atsiranda galimybė GPS pagalba gautus vietos duomenis patikslinti, papildyti arba netgi, jei nereikalaujama didelio tikslumo, judančių objektų vietą nustatyti be GPS panaudojimo. Stebint judančius objektus „visur ir visada“ kiekvienam objektui susidaro baigtinis pozicijų skaičius per tam... [toliau žr. visą tekstą] / The usage of moving objects location information becomes very popular nowadays. This location information can be used in many places: for emergency purposes, tracking cars with cargos, animal tracking, tourism, etc. The moving object’s positions can be detected using location techniques, such as GPS, GSM, etc. When detected moving object’s position is kept in Moving Object Databases (MODB). When object’s position is detected constantly we get a lot of positions, which represent the movement of particular object. We can call this movement a trajectory. The main problem is that these trajectories are too big to keep them in database, to update them or to make a search among them. That’s why there is a need for effective trajectory compression methods in order to make trajectories smaller without losing the most important object’s movement information. Different location techniques generate different types of trajectories, so each type of trajectory needs a different approach how to apply compression technique to it. The trajectory compression can be applied while generating trajectory or it can be done when the generation of trajectory is finished. There are presented different trajectory compression methods for different location techniques (GPS, GSM) in this work. These methods are incorporated into location data history restoration system in order to apply them for location data compression. In this work statistical methods for evaluation of location data compression... [to full text]

Signal compression is necessary part for ECG scanning, because of relatively big amount of data, which must be transmitted primarily wirelessly for analysis. Because of the wireless sending it is necessary to minimize the amount of data as much as possible. To minimize the amount of data, lossless or lossy compression algorithms are used. This work describes an algorithm SPITH and newly created experimental method, based on PNG, and their testing. This master’s thesis there is also a bank of ECG signals with parallel sensed accelerometer data. In the last part, modification of SPIHT algorithm, which uses accelerometer data, is described and realized.

Das Buch gibt eine Einführung in die Digitale Bildverarbeitung. Der Inhalt des Buches gliedert sich in sechs Kapitel. Im ersten Kapitel werden die wichtigsten Definitionen und Anwendungsgebiete der Digitalen Bildverarbeitung sowie wesentliche Komponenten eines digitalen Bildverarbeitungssystems erklärt. Das zweite Kapitel befasst sich mit den Grundlagen digitaler Bilder, den Bilddatenformaten und Kompressionsverfahren. Die Grundlagen der Farbtheorie und ein kurzer Überblick über die wichtigsten Farbsysteme werden im dritten Kapitel vermittelt. Die zwei anschließenden Kapitel beschäftigen sich mit der Manipulation von Grauwerten. Der Schwerpunkt liegt hier auf den Punktoperationen und den Filtertechniken. Das letzte Kapitel behandelt die für die Lehrgebiete Photogrammetrie, Fernerkundung und Geoinformationssysteme überaus wichtigen Grundlagen der geometrischen Transformation.:Vorwort 1. Einführung in die digitale Bildverarbeitung 1.1 Definition der Bildverarbeitung 1.2 Anwendungsgebiete der Digitalen Bildverarbeitung 1.3 Komponenten eines Bildverarbeitungssystems 2. Digitale Bilder 2.1 Entstehung digitaler Bilder 2.2 Bildmatrix und Grauwerte 2.3 Digitale Bilder im Ortsbereich 2.3.1 Bildrepräsentation 2.3.2 Auflösung eines Pixels 2.3.3 Das Pixelkoordinatensystem 2.3.4 Grundsätzliche Festlegungen 2.3.5 Topologien oder Nachbarschaftsrelationen 2.3.6 Distanzen 2.4 Eigenschaften digitaler Bilder 2.4.1 Mittelwert und mittlere quadratische Abweichung 2.4.2 Varianz und Standardabweichung 2.4.3 Histogramm 2.4.4 Stochastische Einflüsse 2.5 Kompressionen und Datenformate 2.5.1 Ausgewählte Verfahren zur Bildkompression 2.5.2 Bilddatenformate 3. Farbtheorie 3.1 Was ist Farbe? 3.2 Farbsysteme 3.2.1 RGB- und CMY- Farbsystem 3.2.2 Das Farbdreieck (Maxwell’sches Dreieck) 3.2.3 Das IHS- Modell 3.2.4 Das CIE- Farbmodell 3.3 Bildwiedergabe 3.4 Farbmanipulation 4. Punktoperationen 4.1 Schwellwertoperation zur Erzeugung von Binärbildern 4.2 Arithmetische Bildoperationen 4.3 Logische oder Boolesche Kombinationen 4.4 Kontrast- und Helligkeitsänderungen 4.4.1 Kontrastübertragungsfunktionen 4.4.2 Kontrastveränderung durch Histogrammanpassungen 4.4.3 Äquidensitenherstellung 5. Filteroperationen 5.1 Lineare Filter 5.1.1 Tiefpassfilter 5.1.2 Hochpassfilter 5.1.2.5 Schärfung 5.2 Morphologische Filter 5.2.1 Medianfilter 5.2.2 Minimum- und Maximumfilter 5.2.3 Dilatation und Erosion im Binärbild 5.2.4 Opening und Closing 6. Geometrische Bildtransformationen 6.1 Koordinatentransformationen im 2D-Raum 6.2 Direkte und indirekte Transformation 6.2.1 Direkte Transformation 6.2.2 Indirekte Transformation 6.3 Resampling 6.3.1 Nächster Nachbar 6.3.2 Bilineare Interpolation 6.3.3 Interpolationen höherer Ordnung 6.3.4 Zusammenfassung der Interpolationsmethoden Quellennachweis Sachregister / The book provides an introduction into digital image processing. The content of the book is divided into six chapters. In the first chapter, the most important definitions and areas of application of digital image processing as well as essential components of a digital image processing system are explained. The second chapter deals with the basics of digital images, image data formats and compression methods. The basics of color theory and a brief overview of the most important color systems are presented in the third chapter. The following two chapters deal with the manipulation of gray values. The focus here is on point operations and filtering techniques. The last chapter deals with the fundamentals of geometric transformation, which are extremely important for the areas of photogrammetry, remote sensing and geographic information systems.:Vorwort 1. Einführung in die digitale Bildverarbeitung 1.1 Definition der Bildverarbeitung 1.2 Anwendungsgebiete der Digitalen Bildverarbeitung 1.3 Komponenten eines Bildverarbeitungssystems 2. Digitale Bilder 2.1 Entstehung digitaler Bilder 2.2 Bildmatrix und Grauwerte 2.3 Digitale Bilder im Ortsbereich 2.3.1 Bildrepräsentation 2.3.2 Auflösung eines Pixels 2.3.3 Das Pixelkoordinatensystem 2.3.4 Grundsätzliche Festlegungen 2.3.5 Topologien oder Nachbarschaftsrelationen 2.3.6 Distanzen 2.4 Eigenschaften digitaler Bilder 2.4.1 Mittelwert und mittlere quadratische Abweichung 2.4.2 Varianz und Standardabweichung 2.4.3 Histogramm 2.4.4 Stochastische Einflüsse 2.5 Kompressionen und Datenformate 2.5.1 Ausgewählte Verfahren zur Bildkompression 2.5.2 Bilddatenformate 3. Farbtheorie 3.1 Was ist Farbe? 3.2 Farbsysteme 3.2.1 RGB- und CMY- Farbsystem 3.2.2 Das Farbdreieck (Maxwell’sches Dreieck) 3.2.3 Das IHS- Modell 3.2.4 Das CIE- Farbmodell 3.3 Bildwiedergabe 3.4 Farbmanipulation 4. Punktoperationen 4.1 Schwellwertoperation zur Erzeugung von Binärbildern 4.2 Arithmetische Bildoperationen 4.3 Logische oder Boolesche Kombinationen 4.4 Kontrast- und Helligkeitsänderungen 4.4.1 Kontrastübertragungsfunktionen 4.4.2 Kontrastveränderung durch Histogrammanpassungen 4.4.3 Äquidensitenherstellung 5. Filteroperationen 5.1 Lineare Filter 5.1.1 Tiefpassfilter 5.1.2 Hochpassfilter 5.1.2.5 Schärfung 5.2 Morphologische Filter 5.2.1 Medianfilter 5.2.2 Minimum- und Maximumfilter 5.2.3 Dilatation und Erosion im Binärbild 5.2.4 Opening und Closing 6. Geometrische Bildtransformationen 6.1 Koordinatentransformationen im 2D-Raum 6.2 Direkte und indirekte Transformation 6.2.1 Direkte Transformation 6.2.2 Indirekte Transformation 6.3 Resampling 6.3.1 Nächster Nachbar 6.3.2 Bilineare Interpolation 6.3.3 Interpolationen höherer Ordnung 6.3.4 Zusammenfassung der Interpolationsmethoden Quellennachweis Sachregister

This thesis describes Burrow-Wheeler compression algorithm. It focuses on each part of Burrow-Wheeler algorithm, most of all on and entropic coders. In section are described methods like move to front, inverse frequences, interval coding, etc. Among the described entropy coders are Huffman, arithmetic and Rice-Golomg coders. In conclusion there is testing of described methods of global structure transformation and entropic coders. Best combinations are compared with the most common compress algorithm.

The aim of this work is to create a functional prototype of a drum machine with sound generating using a microcontroller. Introduction is devoted to general drum machine and an analysis of its parts, principle and basic modes of operation. The following chapter deals with the principle of digital signal processing and sound generation using a microcontroller. Part of this chapter is focused on mixing using compression methods. The core of this work is to design my own block structure and overall scheme of the drum machine with a description of the parts. Followed by analysis and implementation with theoretical and practical point of view. It is mainly about presentation and description of important parts of firmware codes, DPS design and another technical documentation useful for final prototype production. The conclusion contains a summary of the results with prezentation and discussion.

Cílem disertační práce je navrhnout efektivně pracující algoritmus, který na základě bezfázového měření v blízkém poli antény bude schopen zrekonstruovat komplexní blízké pole antény resp. vyzařovací diagram antény ve vzdáleném poli. Na základě těchto úvah byly zkoumány vlastnosti minimalizačního algoritmu. Zejména byl analyzován a vhodně zvolen minimalizační přistup, optimalizační metoda a v neposlední řadě i optimalizační funkce tzv. funkcionál. Dále pro urychlení celého minimalizačního procesu byly uvažovány prvotní odhady. A na závěr byla do minimalizačního algoritmu zahrnuta myšlenka nahrazující hledané elektrické pole několika koeficienty. Na základě předchozích analýz byla navržená bezfázová metoda pro charakterizaci vyzařovacích vlastností antén. Tato metoda kombinuje globální optimalizaci s obrazovou kompresní metodou a s lokální metodou ve spojení s konvečním amplitudovým měřením na dvou površích. V našem případě je globální optimalizace použita k nalezení globálního minima minimalizovaného funkcionálu, kompresní metoda k redukci neznámých proměnných na apertuře antény a lokální metoda zajišťuje přesnější nalezení minima. Navržená metoda je velmi robustní a mnohem rychlejší než jiné dostupné minimalizační algoritmy. Další výzkum byl zaměřen na možnosti využití měřených amplitud pouze z jednoho měřícího povrchu pro rekonstrukci vyzařovacích charakteristik antén a využití nového algoritmu pro rekonstrukci fáze na válcové geometrii.

My Master's thesis deals with the problems of flow compression in network devices. Its outcome should alleviate memory consumption of the flows and simplify the processing of network traffic. As an introduction I provide a description of protocols serving for data storage and manipulation, followed by discussion about possibilities of compression methods that are employed nowadays. In the following part there is an in-depth analysis of source data that shows the structure and composition of the data and brings up useful observations, which are later used in the testing  of existing compression methods, as well as about their potential and utilization in flow compression. Later on, I venture into the field of lossy compression and basing on the test results a new approach is described, created by means of flow clustering and their subsequent lossy compression. The conclusion contains an evaluation of the possibilities of the method and the final summary of the thesis along with various suggestions for further development of the research.