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Thesis (M.M.)--Bowling Green State University, 2009. / Document formatted into pages; contains 1 score (vi, 29 p.) For clarinet, bassoon, and chamber orchestra (two trumpets, two horns, tenor trombone, bass trombone, percussion, piano, harp, and strings (six first violins, six second violins, four violas, four cellos, and two basses) Includes bibliographical references.

Thesis (M.M.)--Bowling Green State University, 2007. / For alto saxophone in E♭, violoncello, piano, percussion (vibraphone, crystal glasses (C,E,G♯, B)) Document formatted into pages; contains 1 score (19 p.) Duration: ca. 13 min. Includes bibliographical references.

Rhapsody for Piano and Small Orchestra is a one-movement composition in a concerto fashion for seventeen players, and is about nine minutes in duration. The overall form of this work is A B C D E D1 C1 B1 A1. This work contains various hidden compositional devices such as the golden section principle and a palindrome structure. These devices are applied not only to the structure of the work, but also to the pitch related and rhythm-related matters. Also, certain melodic and rhythmic cells are employed for each section in the developmental procedure of that section almost exclusively. Since this work is a concerto-like piece, there are two cadenza-like passages for the piano with an accompanying solo instrument, which plays the obbligato passage. The following essay addresses the form, pitch materials, harmony, rhythm and technical difficulties, orchestration, and variant elements between the corresponding sections used in this work.

Microsoft Kinect įrenginys išleistas tik 2010 metais. Jis buvo skirtas Microsoft Xbox 360 vaizdo žaidimų konsolei, vėliau 2012 metais buvo pristatytas Kinect ir Windows personaliniams kompiuteriams. Taigi tai palyginus naujas įrenginys ir aktualus šiai dienai. Daugiausiai yra sukurta kompiuterinių žaidimų, kurie naudoja Microsoft Kinect įrenginį, bet šį įrenginį galima panaudoti daug plačiau ne tik žaidimuose, viena iš sričių tai sportas, konkrečiau treniruotės, kurias būtų galima atlikti namuose. Šiuo metu pasaulyje yra programinės įrangos, žaidimų, sportavimo programų, kuri leidžia kontroliuoti treniruočių eigą sekdama ar žmogus teisingai atlieka treniruotėms numatytus judesius. Kadangi Lietuvoje panašios programinės įrangos nėra, taigi reikia sukurti įrangą, kuri leistų Lietuvos treneriams kurti treniruotes orientuotas į šio įrenginio panaudojimą. Šio darbo pagrindinis tikslas yra atlikti Kinect įrenginiui skirtų gestų atpažinimo algoritmų tyrimą, kaip tiksliai jie gali atpažinti gestus ar gestą. Pagrindinis dėmesys skiriamas šiai problemai, taip pat keliami, bet netyrinėjami kriterijai kaip atpažinimo laikas, bei realizacijos sunkumas. Šiame darbe sukurta programa, judesius bei gestus atpažįsta naudojant Golden Section Search algoritmą. Algoritmas palygina du modelius ar šablonus, ir jei neranda atitikmens, tai pirmasis šablonas šiek tiek pasukamas ir lyginimo procesas paleidžiamas vėl, taipogi tam tikro kintamojo dėka galime keisti algoritmo tikslumą. Taipogi... [toliau žr. visą tekstą] / Microsoft Kinect device was released in 2010. It was designed for Microsoft Xbox 360 gaming console, later on in 2012 was presented Kinect device for Windows personal computer. So this device is new and current. Many games has been created for Microsoft Kinect device, but this device could be used not only in games, one of the areas where we can use it its sport, specific training, which can be performed at home. At this moment in world are huge variety of games, software, training programs which allows user to control training course by following a person properly perform training provided movements. Since in Lithuania similar software is not available, so it is necessary to create software that would allow Lithuania coaches create training focused on the use of this device. The main goal of this work is to perform research of the Kinect device gesture recognition algorithms to study exactly how they can recognize gestures or gesture. It will focus on this issue mainly, but does not address the criteria for recognition as the time and difficulty of realization. In this paper, a program that recognizes movements and gestures are using the Golden section search algorithm. Algorhithm compares the two models or templates, and if it can not find a match, this is the first template slightly rotated and comparison process is started again, also a certain variable helping, we can modify the algorithm accuracy. Also for comparison we can use Hidden Markov models algorhithm received... [to full text]

With computers being embedded in every walk of our life, there is an increasing demand forintuitive devices for human-computer interaction. As human beings use gestures as importantmeans of communication, devices based on gesture recognition systems will be effective for humaninteraction with computers. However, it is very important to keep such a system as non-intrusive aspossible, to reduce the limitations of interactions. Designing such non-intrusive, intuitive, camerabasedreal-time gesture recognition system has been an active area of research research in the fieldof computer vision.Gesture recognition invariably involves tracking body parts. We find many research works intracking body parts like eyes, lips, face etc. However, there is relatively little work being done onfull body tracking. Full-body tracking is difficult because it is expensive to model the full-body aseither 2D or 3D model and to track its movements.In this work, we propose a monocular gesture recognition system that focuses on recognizing a setof arm movements commonly used to direct traffic, guiding aircraft landing and for communicationover long distances. This is an attempt towards implementing gesture recognition systems thatrequire full body tracking, for e.g. an automated recognition semaphore flag signaling system.We have implemented a robust full-body tracking system, which forms the backbone of ourgesture analyzer. The tracker makes use of two dimensional link-joint (LJ) model, which representsthe human body, for tracking. Currently, we track the movements of the arms in a video sequence,however we have future plans to make the system real-time. We use distance transform techniquesto track the movements by fitting the parameters of LJ model in every frames of the video captured.The tracker's output is fed a to state-machine which identifies the gestures made. We haveimplemented this system using four sub-systems. Namely1. Background subtraction sub-system, using Gaussian models and median filters.2. Full-body Tracker, using L-J Model APIs3. Quantizer, that converts tracker's output into defined alphabets4. Gesture analyzer, that reads the alphabets into action performed.Currently, our gesture vocabulary contains gestures involving arms moving up and down which canbe used for detecting semaphore, flag signaling system. Also we can detect gestures like clappingand waving of arms.

Thesis (M.F.A.)--Rochester Institute of Technology, 2008. / Typescript. Includes bibliographical references (leaf 21).

Diploma thesis is intended as material for general public. The thesis includes construction methods of the Golden Section and calculation of the Golden Number and its properties. It makes aquainted with the history of the Golden Section and its shows occurrence in a plane geometry. The thesis describes the connection between the Golden Number and the Fibonacci Sequence, occurrence of the Golden Section, Fibonacci Sequnce and the logarithmic spirals in nature in both proportions of living organisms and in plants and on the human body. The text is completed with illustractive figures drawn mostly in GeoGebra. The Golden Number properties and the plane constructions are given. The Golden Section is completed with photos.

Orientador: Rodney Carlos Bassanezi / Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica / Made available in DSpace on 2018-08-27T16:18:31Z (GMT). No. of bitstreams: 1 Dias_AlbertoFaustino_M.pdf: 1122688 bytes, checksum: a62e35c5bae8f636d723761c61dcfcd7 (MD5) Previous issue date: 2015 / Resumo: Apresentamos neste trabalho, uma relação existente entre a despretensiosa Sequência de Fibonacci e o Número de Ouro, conhecido também como Razão Áurea ou Número Áureo. Neste mesmo contexto, tratamos de um modelo variacional discreto através das Equações de Diferenças e contínuo através das Equações Diferenciais Lineares, problematizado pelo crescimento populacional de escargots, em cuja solução aparece o Número de Ouro. Para fundamentação deste trabalho utilizamos pesquisa bibliográfica constituída de livros e publicações diversas, cujo embasamento reside principalmente nos autores, Rodney C. Bassanezzi, Maurício Zahn, William E. Boyce e Richard C. Diprima. O princial objetivo deste trabalho foi dar uma abordagem contínua ao modelo variacional discreto gerado pelo crescimento populacional dos escargots / Abstract: In this work, an existing relationship between the unpretentious Fibonacci sequence and the Golden Mean, also known as the Golden Ratio or Golden Number. In this same context, we deal with a discrete variational model through the differences and continuous equations through Linear Differential Equations, questioned by population growth escargots, whose solution appears the Golden Mean. For reasons of this work we use literature consists of books and publications whose foundation lies mainly in authors, Rodney C. Bassanezzi, Mauritius Zahn, William E. Boyce and Richard C. DiPrima. The princial objective was to give a continuous approach to the discrete variational model generated by population growth of snails / Mestrado / Matematica Aplicada e Computacional / Mestre em Matemática Aplicada e Computacional

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