Artikler — Thesis
Artikler tagget Thesis
Your thesis or dissertation is often the most important single piece of work you’ll produce as a student (whether it be your final year undergraduate research project or your complete Masters / PhD thesis). These templates, many provided by the university themselves as official layout guidelines, include sections for you to add all the relevant author information (your university, department, supervisor, year, etc) along with placeholder chapters for your introduction, background, method, results, conclusion / discussion, references and appendices.
Seneste

Sincronización en un modelo de actividad neuronal basado en mapas caóticos sometidos a perturbaciones
Se busco la posibilidad de desincronizar una red de mapas acoplados mediante la aplicacion de una perturbacion externa.
Claudio Santiago Condor Diestra

Software de auxílio ao ensino e aprendizagemde matemática para crianças
The usage of software has grown as computers become popular. There have emerged, both in academia and in the market, technological solutions for several areas, among them education. On the other hand, classroom teaching and learning continues to suffer from classical educational problems such as lack of student and teacher motivation and lack of clear educational goals. And although software supports learning across a range of disciplines and ages, children's audiences, especially in mathematics, have been little contemplated with the benefits that technological solutions can bring. Therefore, the use of pedagogical approaches, such as Bloom's Taxonomy and Formative Assessments, together with gamification techniques, such as Octalysis, can be used to develop a technological solution that contemplates this public. The present work aims to propose the development of a software to assist the teaching and learning of mathematics for children in the classroom.
Leandro Alves

Vit chennai Master thesis for Big data analytics
In Email Analytics, our main focus on criminal and civil investigation from large email dataset. It is very difficult to deal with challenging task for investigator due to large size of email dataset. This paper offer an interactive email analytics various to current and manually intensive technique is used for search evidence from large email dataset. In investigation process, many emails are irrelevant to the investigation so it will force investigator to search carefully through email in order to find relevant emails manually. This process is very costly in terms of money and times. To help to investigation process. We combine Elasticsearch, Logstash and Kibana for data storing, data preprocessing, data visualization and data analytics and displaying results. In this process reduce the number of email which are irrelevant for investigation. It shows the relationship between them and also analyzing the email corpus based on topic relation using text mining.
gajanan mirkhale

TFG
Problema de ruta de vehículos con capacidades también conocido como Vehicle Routing Problem (VRP), es uno de los problemas más difíciles y demandados de la sociedad actual. Empresas de mensajería, entrega de productos y ventas online resuelven dicho problema a diario.
Algunos algoritmos heurísticos para el Problema de Rutas de Vehículos con Capacidades

Implementation of a Quantum Key Distribution Protocol from an Entangled Photon Detection Setup on Embedded Devices
Introduction to quantum mechanical effects and an implementation example of quantum key distribution
lukas plazovnik

Musical Attitudes and Expectations
Musical Attitudes and Expectations
Stefano Sgarbi

Breedbandtoegangsnetwerk voor treinen door middel van Radio-over-Fiber
Scriptie voorgelegd tot het behalen van de graad van Burgerlijk Ingenieur in de Computerwetenschappen: Informatie- en Communicatietechnologie, juni 2006
(Downloaded from LaTeX templates en logo's)
Peter Dedecker (uploaded by LianTze Lim)

Automatic Structural Segmentation of Music: Insightfully clustering the beats in a given piece of music to reflect it's musical structure
This Project posits elementary analogies of existing Probabilistic and Machine Learning models that have been used to find solutions to the problem of the Structural Segmentation of Musical audio. I have tried to use the idea that the chord of a given beat or frame of a song is an analogous representation of the states generated by trained Hidden Markov Models in generating feature vectors for the aforementioned problem; and that the knowledge of the temporal boundaries within which, a group of frames lie, can be used as constraints in creating the feature vectors that are eventually clustered to identify the pattern in which the various segments of a song repeat.
Lyndon Quadros

Choosing Adequate Speech Presence Probability Method for Enhanced Multichannel Background Noise Reduction Algorithms
There are several voice communication systems that are used nowadays which are capable of maintain voice calls between two users in real time. Telephones are widely used all around the world in an unlimited kind of situations. All of these situations expose the microphone (or microphones) of the phones to different and unpredictable noises, as street noise, sea noise, rain noise, wind noise, unwanted voices, car motors, etc. As microphones capture all the sounds around it, including the wanted voice and the unwanted noises, it is necessary to implement digital real time filters capable of attenuate as much as possible all the surrounding noises.
It exists a large quantity of noise reduction methods that have been used in the calling algorithms of phones. Even if these methods have had, in general, a good performance, there is still a research being done in this area in order to improve the current results. Because of this, the multichannel methods were created (using multiple microphones) as well as new algorithms that pretend to have a better noise reduction than the single channel methods. Most of these methods require a speech presence probability (SPP) method to achieve the noise reduction.
The following document presents a research about different SPP methods as well as a comparison between these. This includes an explanation on how theses algorithm work, a Matlab implementation using real voice and noise recordings and objective tests of the filter.
ivan