Natural & Applied Sciences

Research Papers/Topics Natural & Applied Sciences

FUNDAMENTAL CONCEPT OF FUZZY SEMIGROUP.

In this work, we briefly present fuzzy operations and related properties. As a precursor for studying fuzzy semigroup, we examine critically the fundamental concept of semigroups.. Finally, we describe some results of fuzzy semigroup with respect to fuzzy operations and α-cut of fuzzy set

Enhancing Dermatological Diagnosis through Machine Learning: A Multi-Class Skin Disease Detection System with Convolutional Neural Network.

This research paper proposes a novel approach to detecting skin diseases using machine learning techniques. The proposed system utilizes image processing techniques to extract features from skin lesion images and then applies machine learning algorithms to classify the lesion into different categories. The proposed system can be evaluated using a large dataset of skin lesion images and the machine can learn itself based on the provided data and achieve high accuracy in detecting various skin ...

COMPARATIVE ANALYSIS OF TURN-AROUND TIME AMONG SELECTED SEAPORTS IN WEST AFRICAN SUB-REGION

Turnaround time of a vessel in a seaport exhibits the capability and ability of a port in providing efficient and effective services. Ship turnaround time is one of the most significant Port performance indicator. This is the total time, spent by the vessel in port, during a given call. It is the sum of waiting time, berthing time, service time (i.e., ship’s time at berth) and sailing delay. West African ports play a crucial role in trade and economy, as 95% of merchandise trade is handled ...

Role of Geoscientist in Diversification of Nigeria Economy

ABSTRACT Nigeria for over five decades now operates mono economy. Despite the diverse natural resources endowed to her by God. This started prior to the end of Biafra war in 1970, when Nigeria taps greatly from crude oil due to global rise in oil price. This over dependent on crude oil is to the disadvantage of other sectors such as; natural gas, solid mineral, water, environment, coal, tourism and agriculture that contributes enormously to the economy of any country like Nigeria. In 2017 N...

Luke Nwakpa 32 PAGES (5593 WORDS) Geology Seminar
ETHNOBOTANY, PHYTOCHEMISTRY AND PHARMACOLOGY OF PERICOPSIS LAXIFLORA (BAKER) MEEUWEN (LEGUMINOSAE) – A REVIEW

Pericopsis laxiflora (Family Leguminosae) is a medicinal plant that is ubiquitous especially in the tropical and savannah regions. There are many reports on folkloric and traditional medicinal uses that include haemorrhoids, rheumatism, abdominal pain treatment, diarrhoea, and dysentery, fever, skin diseases and jaundice. Peer-reviewed articles were gathered by consulting the databases of Scopus, Medline, Web of Science, PubMed, Science Direct and Google Scholar. Phytochemical investigations ...

BIOTYPING OF MULTIDRUG RESISTANT CAMPYLOBACTER JEJUNI FROM POULTRY AND HUMANS IN NORTHERN REGION OF GHANA

Thermophilic Campylobacters are zoonotic bacteria which are universally famous for causing enteritis in humans. They are normally found as commensals in the digestive tract of food animals with poultry being a major reservoir of the pathogenic species. This study highlighted the presence of Campylobacter in poultry (commercial and domestic) and humans (patients and asymptomatic individuals) and characterized strains by biotyping and susceptibility test in the Northern region of Ghana where an...

THE THEORY AND KEY TECHNOLOGY RESEARCH IN SOCIAL NETWORKS

Currently social networks are the pulse of humanity. For there are the platforms on which people share content and form links among themselves for various purposes The traditional social networks that were formed by human relationships or activities have been supplanted with the online social networks (OSNs). And due to the availability of affordable and portable digital devices and also the emergence of the Internet and services offered by the Web 2.0, there have been a tremendous amount of ...

ROBUST ADAPTIVE SCHEME FOR GAUSS MARKOV MODEL

The Hogg’s adaptive scheme is extended to the Gauss Markov Model. The Gauss Markov model is a statistical procedure which belongs to the class of general linear model. Gauss Markov model is very sensitive to nonnormality, variance heterogeneity as well as large sample size. These assumptions may be violated as a result of departures from normality and small sample size. To overcome these problems, an Adaptive Scheme is adopted. The Adaptive Scheme is a two step procedure in which a selector...

ENHANCED HIDDEN MARKOV MODELS (HMMs) FOR REAL-TIME FRAUD DETECTION IN ELECTRONIC BANKING

Hidden Markov Models (HMMs) has become increasingly popular in the last few decades due to its very rich mathematical structure and therefore forming the theoretical basis for use in a wide range of real-life applications such as in speech and image recognition, motion analysis in videos, bio-informatics among others. However, an effective optimization of the parameters of these Models for enhanced performance has remained computationally challenging and there is no generally agreed method th...

SECURITY AND STORAGE ENHANCEMENT OF CLOUD ENTERPRISE RESOURCE PLANNING DATA USING HOMOMORPHIC ENCRYPTION AND SECRET SHARING

In this thesis, a number of solutions are proposed to enhancing and improving the security and confidentiality of Cloud Enterprise Resource Planning (ERP) Data. Firstly, the Asmuth-Bloom, Blakley, Mignote and other Secret Sharing Schemes (SSS) are reviewed, adopted and modified in order to present a relatively improved secret sharing scheme. Conditions for the scheme is also presented as well as algorithms for implementation of the scheme presented by this research. Secondly, a hybrid of two ...

MULTILEVEL MODELLING WITH APPLICATION TO CHILD DISCIPLINE PRACTICES IN GHANAIAN HOMES

This study applied multilevel modelling to analyze data on child discipline practices from 8,156 households from the MICS 4 data collected by GSS in 2011. The analysis took into consideration intra-cluster correlation that results from the collection of such hierarchical structured data and unmeasured higher level characteristics that impact on values of the response variables. A key purpose of the study was to address the error terms of individual observations that correlate in such datasets...

MODIFICATIONS OF THE WEIGHTED WEIBULL DISTRIBUTION

In modeling real-life events with respect to probability theory, two particular characteristics are considered, either the probability distribution is Flexible or the distribution is Tractable. Statistically, in order to retain the originality of the data, appropriate probability distribution needs to be employed rather than to transform the existing dataset. Classical distributions lack the ability to model and describe some important real-life events. Hence, the derived compound distributio...

CLASSICAL AND BAYESIAN SWITCHING VOLATILITY MODELS FOR ANALYSING STOCK RETURNS IN GHANA

The focus of this study was to model and forecast stock returns of Ghana Commercial Bank on the Ghana Stock Exchange using classical and Bayesian switching volatility models. Due to the presence of stylised facts in stock returns, this study finds it imperative to identify an appropriate risk model that best describes these features. The data utilised in this study are the stock prices of Ghana Commercial Bank transformed into monthly averages of daily closing prices covering 138 months. The ...

TOPP-LEONE ZUBAIR GENERATED FAMILY OF DISTRIBUTIONS WITH APPLICATIONS TO LIFETIME DATA

The Topp-Leone Zubair family of distribution was developed in this study to model life time data. This family of distributions is an improvement of the Topp-Leone and the Zubair families which lacked scale parameter and shape parameters respectively. The statistical properties of the generator were obtained , thus; mixture representation, moments, moment generating function, incomplete moments, inequality measures, mean deviation, median deviation, mean residual life, stochastic ordering, Str...

CHEN FAMILY OF DISTRIBUTIONS WITH APPLICATIONS TO LIFETIME DATA

Classical distributions are at times unable to provide a reasonable fit to certain forms of datasets, hence the need to generalize existing distributions to enhance their flexibility in the modeling of data. In recent times, much attention is focused on developing of new families of distributions for generalizing existing models. This is evident in the vast literature on modification and generalization of statistical distributions carried out by researchers. This study therefore developed gen...


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