West African Journal of Industrial and Academic Research

Prospects for Adoption of Green Building Strategies in Abakaliki Metropolis of Ebonyi State, Nigeria

Arc. Imakwu Veronica Nkechi — Thu, 30 Mar 2023 00:00:00 +0000

Prospects for Adoption of Green Building Strategies in Abakaliki Metropolis of Ebonyi State, Nigeria” was a study carried out with the sole aim of determining the prospects for the adoption of green building strategies in Abakaliki Metropolis of Ebonyi State. It has two specific objectives as follows: to identify the benefits of green buildings; and to appraise the existing government policies on planning regulation for the adoption of green building strategies in Abakaliki Metropolis of Ebonyi State, Nigeria. Two research questions and two null hypotheses were formulated and tested by the study. The study used descriptive survey design. The area of study was Abakaliki Metropolis of Ebonyi State. Abakaliki is the capital of Ebonyi State and the biggest town in the state. The population of the study was 56 architects who were registered members of the Nigerian Institute of Architects, Abakaliki Branch. There was no sample size as the whole population was used for the study. The two research questions were analysed using mean and standard deviation while the two null hypotheses were tested using Chi-square statistic at 0.05 level of significance. The results of the study showed that: there are significant benefits of green building for its adoption in Abakaliki Metropolis of Ebonyi State (χ2 =28.88 at P<0.05); and there are significant government policies on planning regulation for the adoption of green building strategies in Abakaliki Metropolis of Ebonyi State (χ² =28.88 at P<0.05). The study recommended that the Federal Government of Nigeria should organize seminars in all the states and major cities and towns in Nigeria to create awareness of the existence of the concept and benefits of green building. Secondly, the Federal Government of Nigeria and States should enact specific laws on adoption of green building concepts and strategies in Nigeria.

Breast Cancer Diagnosis and Prognosis Using Artificial Neural Network

O. S Ogah, J.O. Ugah — Thu, 30 Mar 2023 00:00:00 +0000

As the mortality rate of breast cancer increases, there is the need to foster efforts to combat this ugly disease and save our mothers and all female folks from untimely death. Various methods being used to diagnosis this disease range from traditional hand sampling of the breast to a more advanced and generally accepted technique known as biopsy, a fine needle aspirations that enable early detection of the disease. Manual analysis of the biopsy image by clinical pathologist have many limitations, hence the need of computer aided approach. Extensive works had been carried out using this approach but more works still have to be done as a better model to rely on have not been achieved. In this thesis, we employed various deep neural network and machine learning frameworks like keras, tensorflow and lightgbm. We also made use of breast cancer histopathology image dataset release by Rui Yan et al, (2019) and Araujo et al, (2017). We deduced a model whose sensitivity score is higher than that of our redecessor. Reversed CRIP-DM methodology by John Rollins and very deep learning feature representation was used in the analysis. Lightgbm was used for the training and validation. At the end a python script was developed to perform real time breast cancer diagnosis.

Environmental Costs and Performance of Listed Service Companies In Nigeria

Anolam Moses, R. C Ike — Thu, 30 Mar 2023 00:00:00 +0000

This study examined the relationship between environmental costs and performance measuresof listed service companies in Nigeria. Research questions and hypotheses were developed in line with the specific objectives of this study. The ex-post facto research design was adopted and the theoretical framework of this study was anchored on stakeholder’s theory. Secondary data with respect to the dependent and independent variables were obtained for a period of 10 years spanning from 2009-2018. The data obtained were analyzed using descriptive and inferential statistical techniques. Based on the test of hypotheses, it was found that environmental costs have significant relationship with the performance measures of firms. Specifically, it was observed among others that the level of environmental costs was significantly affected by return on assets (ROA), return on equity (ROE) and earnings per share (EPS). On the basis of the findings, it was recommended among others that the management of firms should ensure full disclosure by reporting environmental related costs in their financial statements irrespective of the performance recorded in any given year. Additionally, as a matter of fact, the accounting regulatory framework should consider developing environmental disclosure index in order to facilitate the disclosure of environmental related costs by firms.

Capstone Project : Marketing-Airplane Passenger Satisfaction Prediction Using MachineLearningTechniques

Bekee Sorbarisere Yirakpoa, Mercy Nwanyanwu — Thu, 30 Mar 2023 00:00:00 +0000

Customer satisfaction questionnaires are a rich and strong source of information for companies to seek loyalty, customer and client retention, opti-mize resources, and repurchase products. Several advanced machine learning and statistical models have been employed to estimate the customer satisfaction score; however, there is not a single model that can yield the best result in all situations. Ensembles of regression techniques have demonstrated their effective-ness for various applications, where the success of these models lies in the con-struction of a set of single models. Iperformed an experimental study using a real dataset of 90917samples from US airline carrier ‘Falcon airlines’, in order verify the ben-efits of ensemble models for predicting customer satisfaction. Accordingly, in this project I evaluated the following models; Logistic Regression, Decision Tree, Bagging classifier and Random forest. The obtained results indicate that the Random forest performs better in terms of Recall and Precision.

A review of Information Communication Technology (ICT) methods for road infrastructure monitoring

Ugah Otazi John, Obabueki Omo-Okhirelen, Ezeanya Christiana Uchenna — Thu, 30 Mar 2023 00:00:00 +0000

Road infrastructure is critical to a country's economic growth because it supports other infrastructural developments. The high cost associated with building new roads has caused a shift in focus to the effective maintenance of road assets in many developed countries. This has not been the situation in many underdeveloped countries, where roads have been allowed to deteriorate and road infrastructure monitoring is still carried out manually. Due to the cost, time, subjective nature, and other biases of human inspectors, the manual approach to road infrastructure monitoring has proved insufficient. Information communication technology (ICT) monitoring methods make use of the facilities provided by ICT and its tools to provide monitoring in chosen domains. The mobility and penetration of mobile-based information and communication technology (ICT) devices make them ideal for monitoring infrastructure. In this paper, we review ICT-based road monitoring methods and provide an overview of the current community-based infrastructure monitoring approach using mobile phones.

Integration of Arficial Neural Network To A Web Based Students Information System For Tertiary Institutions

Okorie Simon Chidi, O.E Osuagwu , A.O Agbakwuru , B. C Amanze , T.O Okonkwo — Thu, 30 Mar 2023 00:00:00 +0000

The development and economic growth of any nation solely depend on the human resources in the educational system. A lot of data about the students activities are involve in the education system, therefore there is need for managing, securing and accessing the data in real time. One of the main problems facing most of the university lecturers is the ability to use traditional paper-based operation to manage bulky quantities and different types of data they encountered in daily operation, starting from non-public data to numerous varieties of documents. Also students’ records in most institutions have been held in low esteem, especially in the third world where most archival records on students are held in physical systems, giving rise to complications in recovering vital information and reduced access time. Some the university lacks a predicting system that will help student to predict their result, so as to enable know the area to put more effort to improve their academic performance. The aim of this study is to develop a web based student information system integrating artificial neural network. The methodology adopted in this paper is the Object-oriented analysis and design methodology (OOADM) and the application languages used was Hypertext Markup Language (HTML), Hypertext Preprocessor (PHP), MySQL, Cascaded Style Sheet (CSS), Java Script, Dream weaver, and Fireworks. The effective deployment and management of this system will improve greatly the speed and accuracy of student’s information. The Artificial Neural Network used in the study was able to achieve 91% accuracy in predicting student’s academic performance.

Banking Innovation on Sustainable Development of Nigeria during the Pre and Post Covid Era

Nwosu Eleazar Chimezie, Johnson Johnson Ubi, Fred Itotaziba Sunday — Thu, 30 Mar 2023 00:00:00 +0000

The research critically examined the nexus between Banking Innovation and Sustainable Development of Nigeria during the Pre and Post Covid Era between the year 2005 – 2020 respectively. The data employed for the study were basically obtained from CBN Statistical Bulletin 2020, in analyzing the data obtained; econometric techniques were used, such as Autoregressive Distributed Lag (ARDL), bounce test, granger causality, unit root and major diagnostic techniques were deployed to ascertain the impact of Banking Innovation on Sustainable Development in Pre and Post Covid Era in Nigeria. The result obtained shows positive and significant relationship between Banking Innovation (POS, ATM, MB) and Sustainable Development provided by human development Index. In the light of the above result, we recommend an immense and total improvement on the usage of banking innovative products.

Crypto Currency Trading and The Impact On Global Digital Finance

Nwosu Eleazar Chimezie, Emilia Godswill Inimgba — Thu, 30 Mar 2023 00:00:00 +0000

The research work examined the impact of cryptocurrencies on the global financial market between 2005 to 2021 respectively. Global financial market was proxy by international liquidity whereas, cryptocurrencies was proxy by Bitcoin, Ethereum, Tither and Binance coin. Questionnaire were distributed to investors in cryptocurrencies and global financial market within the sample size of 1500. The raw data obtained were scaled using the linkel method to produce acceptable data for econometric analysis. In analyzing the data, the researcher employed econometric techniques such as Box Jenkin Q Statistic and EGARCH model to examine the linear dependency and volatility rate of cryptocurrencies in the global financial market. The test result revealed the absence of linear dependency and increase in exponential volatility rate in the currencies.

Presidential Amnesty Programme and Youth Militancy in the Niger-Delta: A Study of Southern Ijaw Local Government Area of Bayelsa State, Nigeria

Thu, 30 Mar 2023 00:00:00 +0000

This study investigates whether presidential amnesty programme initiated by the federal government of Nigeria has succeeded in reducing the high wave of youth militancy in the Niger-Delta region of Nigeria. With the aid of the study objectives, two hypotheses were formulated in the study. A target population of 200 inhabitants of the study area was adopted for the study. The simple random sampling and purposive sampling techniques were variously applied in the study at different stages. The summation of all the responses was presented using frequency distribution tables and simple percentages, while the chi-square statistical tool was employed to test the hypothesis formulated in the study. The test statistics reveals among others that, presidential amnesty programme in the form of educational training accrues to limiting youth piracy in Southern Ijaw Local Government Area. The study concludes and recommends among others that, Nigerian government in its magnanimity should uphold and continue to sustain its initiative on presidential amnesty programme in the form of educational training to the militant youths in the Niger-Delta as this would accrue to limiting the chances of the youths in indulging in militant activities such as youth piracy.