Research in computer vision and machine learning is a significant part of research in computer science departments of many leading institutions resulting in ideas and products that have direct applications in different ...

Epoxy, a thermosetting polymer due to its attractive properties, has been widely used in many industries as a coating material such as the oil and gas industries. This study provides an insight into the corrosion behavior ...

There have been several improvement in object detection and semantic segmentation results in recent years. Baseline systems that drives these advances are Fast/Faster R-CNN, Fully Convolutional Network and recently Mask ...

Nigeria is blessed with mineral resources but unfortunately many have been poorly exploited. This has resulted to spending huge sums of money to import these minerals rather than taking advantage of available local natural ...

Enhanced oil recovery (EOR) using ethane gas or flue gas has proven to be successful in some regions of the world, but these methods have not been implemented in the Niger Delta. This work investigates the technical and ...

Enhanced oil recovery (EOR) using ethane gas or flue gas has proven to be successful in some regions of the world, but these methods have not been implemented in the Niger Delta. This work investigates the technical and ...

We theoretically investigated a phenomena arising from the interaction of femtosecond pulsed lasers with an Hydrogen atom. The phenomena of interest to us, is the High or der Harmonic Generation (HHG) of soft and hard-Xray ...

Femtosecond lasers represent an electromagnetic field with field intensities approaching and even exceeding atomic binding field. When irradiated on a target, the material responses change from linear to nonlinear within ...

The thesis presents the modelling and simulation of the rachet effect created by a spatio temporal asymmetry potential. The potential is a coupled spatial asymmetry sin wave and a rectangular pulse train. The effective ...

We present theoretical results of the study of H 2 S adsorption on gold cluster Au n (n = 1, 5) using density functional theory with Perdew-Burke-Ernzerhof (PBE) exchange-correlation energy functional. Minimum energy ...

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Sodium-ion batteries (SIBs) have been identified as an effective technology for grid-scale energy storage because of relatively low cost and natural abundance of sodium, but the lack of suitable anode materials with high ...

Prodigiosin molecule, whose efficacy in the treatment of cancer has proven positive, has been studied using first-principles Density Functional Theory (DFT) methods as implemented in VASP - Vienna Ab initio Simulation ...

Petroleum fiscal regime defines the extent to which the host government and the prospective investor can apportion risks and share project rewards. Ghana’s petroleum industry has become an attractive place for most investors ...

This project is at the interface between Analysis, Natural Sciences and Modeling Theory. It deals with Floquet Theory (also re ered to as Floquet-Lyapunov theory) which is the main tool of the theory of periodic ordinary ...

We propose a framework for formal analysis of DEVS Driven Modeling Language (DDML) models in order to assess and evaluate the properties of DDML models. This framework semantically maps the hierarchical levels of DDML: ...

C-DEVS is a formalism for modeling and analysis of discrete event systems. It refers to the original formalism defined by Zeigler in 1976. While the simulation algorithms are well defined, their implementation is a challenge ...

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 ...

Current advancement in VLSI technology allows more circuit to be integrated on a single chip forming a System on Chip (SoC). The state of art in on-chip intermodule connection of using a shared bus with a common arbiter ...

This thesis presents an overview on the theory of stopping times, martingales and Brownian motion which are the foundations of stochastic modeling. We started with a detailed study of discrete stopping times and their ...