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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.

A Study into the Feasibility of a Human Mission to the Jovian System
A Study into the Feasibility of a Human Mission to the Jovian System
My dissertation for my Astrophysics MPhys degree at the University of Liverpool compiles research, simulations and calculations to come to concise conclusions about the feasibility of a human mission as stated in the project title.
Benjamin T R Torn
Choosing Adequate Speech Presence Probability Method for Enhanced Multichannel Background Noise Reduction Algorithms
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
Implementation of a Quantum Key Distribution Protocol from an Entangled Photon Detection Setup on Embedded Devices
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
Automatic Structural Segmentation of Music: Insightfully clustering the beats in a given piece of music to reflect it's musical structure
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
Software de auxílio ao ensino e aprendizagemde matemática para crianças
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
Assessment of Cardiovascular Biomarkers Derived from Peripheral Pulse Waveforms Using Computational Blood Flow Modelling
Assessment of Cardiovascular Biomarkers Derived from Peripheral Pulse Waveforms Using Computational Blood Flow Modelling
The aim of this thesis is to investigate the ability of cardiovascular biomarkers calculated from peripheral pulse waveforms to estimate central properties of the cardiovascular system (e.g. aortic stiffness) using nonlinear one-dimensional (1-D) modelling of pulse wave propagation in the arterial network. To test these biomarkers, I have produced novel 1-D models of pulse wave propagation under normal and pathological conditions. In the first part of my thesis, I extended the modelling capabilities of the existing 1-D/0-D code to represent arterial blood flow under diabetes, hypertension, and combined diabetes and hypertension. Cardiac and vascular parameters of the 1-D model were tailored to best match data available in the literature to produce generalised hypertensive, diabetic, and combined diabetic and hypertensive population models. Using these models, I have shown that the pulse waveform at the finger is strongly affected by the aortic flow wave and the muscular artery stiffness and diameter. Furthermore the peak to peak time measured from the pulse waveform at the finger can identify hypertensive from diabetic patients. In the second part, I developed a new methodology for optimising the number of arterial segments in 1-D modelling required to simulate precisely the blood pressure and flow waveforms at an arbitrary arterial location. This is achieved by systematically lumping peripheral 1-D model branches into 0-D models that preserve the net resistance and total compliance of the original model. The methodology is important to simplify the computational domain while maintaining the precision of the numerical predictions — an important step to translate 1-D modelling to the clinic. This thesis provides novel computational tools of blood flow modelling and waveform analysis for the design, development and testing of pulse wave biomarkers. These tools may help bridge the gap between clinical and computational approaches.
sally epstein
Musical Attitudes and Expectations
Musical Attitudes and Expectations
Musical Attitudes and Expectations
Stefano Sgarbi
Sincronización en un modelo de actividad neuronal basado en mapas caóticos sometidos a perturbaciones
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
PyBEL: A Computational Framework for Biological Expression Language
PyBEL: A Computational Framework for Biological Expression Language
The purpose of this work is to outline the first steps taken towards the building of an automatic interpretation and hypothesis generation machine. The contents of this thesis describe the framework built to parse and manipulate the knowl- edge assemblies encoded in BEL, which enables BEL to act as a semantic inte- gration layer for heterogeneous data and knowledge sources, the development of a framework for automatic integration of relevant knowledge from structured sources, and the development of schema-free analytical techniques to generate data-driven hypothesis.
Charles Tapley Hoyt

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