Abstract We have used ab initio density functional theory to study the coadsorption of N and O on Pt(100) and Pt(111) surfaces. Our calculations show that on Pt(100) the most favourable site is the hollow site for N and the bridge site for O, while for Pt(111) there are different possible N and O coadsorption geometries. On both surfaces the interaction between N and O is repulsive in nature.
ABSTRACT In this thesis, we consider the problem of approximating solution of generalized equilibrium problems and common fixed point of finite family of strict pseudocontractions. The result obtained is applied in approximation of solution of generalized mixed equilibrium problems and common fixed point of finite family of strict pseudocontractions. Our theorems improve and unify some existing results that were recently announced by several authors. Corollaries obtained and our method of pr...
ABSTRACT Let H be a real Hilbert space and A : D(A) ⊂ H → H be an unbounded, linear, self-adjoint, and maximal monotone operator. The aim of this thesis is to solve u 0 (t) + Au(t) = 0, when A is linear but not bounded. The classical theory of differential linear systems cannot be applied here because the exponential formula exp(tA) does not make sense, since A is not continuous. Here we assume A is maximal monotone on a real Hilbert space, then we use the Yosida approximation to solve. A...
Coastal erosion has become a major problem to coastal dwellers worldwide as its effects of destruction to properties, flooding and inundations continue to render populations homeless. Coastal erosion is defined as the wearing away of material from a coastal profile due to imbalance in the supply and export of material from a certain section (Marchand, 2010). Coastal erosion is noted to have burdened most nations‘ financial budgets in the mitigation and management of this quandary. Mar...
ABSTRACT Density functional theory (DFT) is a useful theoretical and computational tool for electronic structure calculations, which form the basis for the classification of materials into conductors, semiconductors or insulators. DFT started with a crude approximation by Thomas and Fermi (TF theory) which calculated the kinetic energy of electrons using the so-called local density approximation (LDA). Although TF is computationally inexpensive, it provides a poor numerical result due to a la...
ABSTRACT Text analysis is a branch of data mining that deals with text documents. This project brings to light the classification of texts into their various categories. The structured and unstructured data seems to on a high rise in this era. Thus, to be able to classify this data is important. Classification however starts from collection, preprocessing, and feature extraction. There are several techniques that can be used for text classification, but machine learning algorithms will be em...
ABSTRACT In this thesis, we implemented Point Distribution Model and basic Active Shape Model algorithm and contributed this to the AUST Computer Vision and Machine Learning code library. We applied the Active Shape Model to segmenting lateral ventricles of 2D brain images and used machine learning – specifically K-Nearest Neighbour algorithm- to improve segmentation results. A statistical shape model is created from a training dataset which is used to search for an object of interest in a...
INTRODUCTION Variational methods have proved to be very important in the study of optimal shape, time, velocity, volume or energy. Laws existing in mechanics, physics, astronomy, economics and other fields of natural sciences and engineering obey variational principles. The main objective of variational method is to obtain the solutions governed by these principles. Fermat postulated that light follows a part of least possible time, this is a subject in finding minimizers of a given functiona...
Abstract We attempt the design and development of an educational game based on the Input-ProcessOutcome model. This tool helps students and other professionals to learn and appreciate the decision-making processes carried out by geophysicists and petroleum engineers, concerned with the activity of well placement, to maximize production from oil fields. It also stimulates learning and application of technology to support decision making.
ABSTRACT Discrete Event System Specification (DEVS) is a sound formal modeling and simulation (M&S) structure based on generic dynamic system concepts. PDEVS (Parallel Discrete Event System Specification) is a well-known formalism for the specification of complex concurrent systems organized as an interconnection of atomic and coupled interacting components. The abstract simulator of a PDEVS model is normally founded on the assumption of maximal parallelism: multiple components are allowed t...
ABSTRACT The hoist scheduling problem is a critical issue in the design and control of many manufacturing processes. When the hoist number and tank numbers are very large, finding an optimal schedule is very hard. As a result of this, a lot of scheduling algorithms have been developed, and thus created a need to evaluate these algorithms. This calls for a cheap and efficient way of evaluating different hoist scheduling algorithms. To address this issue, I propose a generic simulator which wi...
In this thesis, we model non-life insurance claims by using the two-parameter Negative Binomial (NB) and three-parameter Discrete Generalised Pareto (DGP) distributions. Data from National Insurance Commission (NIC) on Reported and Settled Claims counts for the period 2012 - 2016 were considered. The maximum likelihood estimation (MLE) was adopted to fifit Negative Binomial and Discrete Generalised Pareto to the count data. In the latter case, the estimation involved two steps. First, th...
ABSTRACT The study of the structures and properties of organic materials for organic photovoltaic (OPV) applications and their interrelationships is a rapidly growing field of research, involving interdisciplinary efforts at the frontiers of chemistry, solid state physics and materials science. These materials differ from the better-understood silicon solar cell based materials by the lack of long range three-dimensional translational periodicity in their atomic arrangements and also by their...
Introduction In physical sciences (e.g, elasticity, astronomy) and natural sciences (e.g, ecology) among others, the consideration of periodic environmental factor in the dynamics of multi-phenomena interractions (or multi-species interractions) leads to the study of differential systems with periodic data. Therefore, it is worth investigating, the fundamental questions inherent in systems of periodic (ordinary) differential equations such as: existence, uniqueness and stability.
Cancer is a major health burden worldwide as a result of its high frequency of mortality and morbidity. The most frequent cancer globally among women is breast cancer with a high death rate of about 458,000 deaths per year. Breast cancer is a multi-factorial disease which acts in sequence or simultaneously to initiate and/or promote tumour growth (Ritchie et al., 2001). The origin of breast cancer is poorly understood but it has been associated with are risk factors such as obesity, gend...