Natural & Applied Sciences

Natural & Applied Sciences Research Papers/Topics

Analysis Of Magneto Hemodynamics Of Blood In A Stenosed Artery

Abstract Human body responds to physical activities, external temperature, external magnetic field, and other factors by homeostatically adjusting its blood flow in order to deliver nutrients such as oxygen and glucose to every organ in the body and allow them to function. Complications in this hemodynamic may arise due to acute coronary syndromes such as stenosis or arteriosclerosis leading to obstruction of coronary arteries. These complications do cause a change in the blood flow to the b...

Design And Simulation Study Of A Scalable And Resilient Network Architecture For A Hybrid Cloud; Its Billing System

ABSTRACT A Hybrid Cloud refers to a cloud computing environment that provides pay-as-you-go services to users using the integration of public and private clouds resources. Cloud computing is one of the latest areas in the field of Information Technology (IT) with a promising future. There are predictions that in no distant future, many users will simply go in for cloud computing services as the users will only “Pay-as-they-go” without incurring the cost of the equipments they use or the ...

Femtosecond Laser Surface Texturing of Materials for Various Applications

Abstract 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 a very short time. In most situations nonlinear absorption dominates and can be used in micromachining of materials. In this work, analytical formulae are outlined relating laser and target parameters. This permits prediction of ablation conditions of materials. Ion...

Design And Evaluation Of An Adaptive Network On Chip For Multicore Architectures

Abstract Network – On – Chip (NoC) communication architecture have emerged as a solution to problem of lack of scalability, clock delay, lack of support for concurrent communication and power consumption exhibited by the shared bus communication approach to System - On - Chip (SoC) implementations. However, a NoC communication requirement such as bandwidth is affected by architecture parameters as topology, routing, buffer size etc. In this project, we implement an adaptive approach of N...

Evolution Equations and Applications

This project concerns Evolution Equations in Banach spaces and lies at the interface between Functional Analysis, Dynamical Systems, Modeling Theory and Natural Sciences. Evolution Equations include Partial Dierential Equations (PDEs) with time t as one of the independent variables and arise from many elds of Mathematics as well as Physics, Mechanics and Material Sciences (e.g., Systems of Conservation Law from Dynamics, Navier-Stokes and Euler equations from Fluid Mechanics, Diusion equation...

Contributions To The Control Theory Of Some Partial Functional Integrodifferential Equations In Banach Spaces

ABSTRACT This thesis is a contribution to Control Theory of some Partial Functional Integrodifferential Equations in Banach spaces. It is made up of two parts: controllability and existence of optimal controls.

Comparative Study Of Annotation Tools And Techniques

Abstract A huge amount of data is generated on daily basis. The generated data can be both structured and unstructured data. The sources from which most of the unstructured data are found are the dailies, social networks (posts from Facebook, tweeter, etc.), event reporting (for example recounting an accident), etc. One of the biggest challenges in Big Data analysis is the use of unstructured data. There is need to structure the corpus so as to permit analysis and one of the approaches for s...

Observatory System for Monitoring Road Accidents in Nigeria

ABSTRACT Road Accidents are on the rise due to the high amount of migration from the rural area to the urban areas, Urbanization people are now finding it easier to own cars and use it for their day to day activities. Due to that reason the amount of Road Accident has also risen to all-time highs with estimate of 2000 deaths in four months around the country. Although we record such amounts of Accidents we are not able to learn from them and try to make changes with the same Roads claiming l...

A Real-Time Data Stream Processing Model For A Smart City Application Leveraging Intelligent Internet Of Things (Iot) Concept

ABSTRACT Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most cases critical and time sensitive. The difficulty is diminished by using big data methods such as Cassandra, Hadoop, Kafka and Spark to perform real-time stream processing in an Internet of Things (IoT) environment, such as traffic monitoring in a smart city envir...

Prediction Of Heart Disease Using Bayesian Network Model

ABSTRACT The Heart Disease according to the survey is the leading cause of death all over the world. The health sector has a lot of data, but unfortunately, these data are not well utilized. This is as a result of lack of effective analysis tools to discover salient trends in data. Data Mining can help to retrieve valuable knowledge from available data. It helps to train model to predict patients’ health which will be faster compared to clinical experimentation. A lot of research has been ...

Qualitative Modelling And Simulation Of Free Running Semiconductor Laser

ABSTRACT The thesis presents the modelling and simulation of free running semiconductor laser. The rate equations which were derived on the basis of the fact that there must be a balance between carriers that undergo transition and the photons generated and annihilated were simulated to examine what laser looks like when ran without positive optical feedback nor any optical injection. The result shows the photons get amplified due to stimulated emission but no oscillation of the output is ob...

A Cloud-Based Java Compiler For Smart Devices

Abstract The Java programming language is widely used in industry and business. Therefore, academic institutions worldwide include Java learning as a basic part of their Computer Science and Engineering curricula. At the same time, smart devices have become popular among university learners. This research tries to take advantage of this fact to promote Java learning. The main problem is that we cannot compile Java programs on smart devices due to the technical limitations of such devices. Th...

Learning System And A Comparative Study On Learning Style Of Students In Africa(Nigeria) And Those In Asia (Japan).

ABSTRACT In different parts of the world especially African and Asian continents, students attend classes and taught in groups using the same method of teaching applied to all students irrespective of whether or not they have the same method of taking and assimilating information (learning style). This contributed negatively towards the development of educations in some countries of those continents. To tackle such problems, an intelligent and adaptive learning system should be the focal poi...

A Predictive Model For Electricity Consumption In University Campuses Using Artificial Neural Networks (A Case Study)

ABSTRACT Energy efficiency is paramount in the quest to achieve sustainable development in the 21st century. Statistics in recent research have shown that in many sectors in any nation’s economy, which include buildings, industries and transportation, energy consumption in buildings accounts for about 77%, a higher percentage than other sectors in Nigeria; the same is true worldwide. Energy consumption forecasting is a critical and necessary input to planning and monitoring energy usage, w...

Malware Classification Into Families Based On File Contents And Characteristics

Abstract The use of malicious software (malware) as an instrument for carrying out different criminal activities both organised and non-organised have become the major threat faced by today’s world of connectivity. Frequency and complexity of such cyberattacks makes it difficult for computer antivirus companies to efficiently handle the high value of the new malwares released using traditional approaches that depends mainly on signature. As a result, machine learning approaches are now the...


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