Table of Contents

An Improvement Forecast Using Vector Autoregression Approach

on Tax Revenue in Nigeria

Baba Gimba Alhassan and Nma Musa Tela                                                   1-34

Internet of Things Based Data Logger System for Temperature

and Humidity Monitoring Using Microcontroller

Adewole Adekunle Olu  & Onaneye Abiodun Adefolarin                                35-48

Effect of Glass Thickness on Solar Still Performance

Benjamin Ternenge Abur, Haruna Abubakar and

Gideon Ayuba Duvuna                                                                49-58

Life Cycle Cost Analysis of a Multi-Tray Solar Dryer with

Thermal Energy Storage Bed

Benjamin Ternenge Abur and Muhammad Hadi Ibrahim                               59-74

EFFECT OF GLASS THICKNESS ON SOLAR STILL PERFORMANCE

¹Benjamin Ternenge Abur, ²Haruna Abubakar and ³Gideon Ayuba Duvuna

¹Department of Mechanical/Production Engineering, Abubakar Tafawa Balewa University, Bauchi.

²Department of Mechanical Engineering, Kaduna Polytechnic, Kaduna.

³Department of Mechanical Engineering, Federal Polytechnic, Mubi

Correspondent: engrbenjaminabur@gmail.com,

ABSTRACT

In this research paper, a conventional basin solar still for production of domestic drinking water using Bauchi climatic conditions (10.23°N, 9.84°E) is evaluated. The single glass cover basin solar still has a collector area of 0.9m² and water holding capacity of 20 litres. Performance evaluation of the system using two identical size glass cover thickness of 4mm and 6mm in the Harmattan period shows that 4mm glass cover thickness increases the distillate water output, basin water temperature as well as efficiency of the solar still compared to 6mm glass cover thickness. The model produces 1.60 and 1.55 litres of pure water from brackish water using the 4mm and 6mm glass cover thicknesses respectively.

Keywords: Basin Solar still, Distillate Output, Glass Cover Thickness, Harmattan.

AND HUMIDITY MONITORING USING MICROCONTROLLER

Adewole Adekunle Olu  & Onaneye Abiodun Adefolarin

Computer Engineering Department, Abraham Adesanya Polytechnic, Ijebu-Igbo, Ogun State, Nigeria

Electrical/Electronic Engineering Department, Abraham Adesanya Polytechnic, Ijebu-Igbo, Ogun State, Nigeria

Kunleadewole2008@gmail.com

ABSTRACT

The Internet of Thing (IOT) is communication paradigm, embracing connections between physical objects, real world objects and the virtual world. The Internet of Things is a global network that connects physical objects using cloud computing, web applications, and devices that are network dependent and it permits devices to speak with each other, access, store and retrieve data from the Internet, and interact with users, making intelligent, deep, pervasive and perpetually connected environments. Microcontroller based devices are designed to work with IOT Services. The Microcontroller is a versatile device which cannot solely be used to control devices, however can also be used to read data from all kinds of sensors. In this paper we incorporated the use of microcontroller (ESP8266 WIFI module) which acts as interface for temperature and humidity sensor (DHT11). The data collected from this sensor were sent through the internet to a web server which functions as Sensing as a Service cloud server. The data were logged on remote server in real time. Remote monitoring, management and visualization of sensors data were achieved through any internet connected mobile devices. Whenever sensor’s data (temperature and humidity) updated on the cloud server is above certain value, an email alerts were sent to a preconfigured android phone connected to the internet.

Keywords: IOT cloud, Database, Sensors, Cloud computing, Sensing as a Service.

AN IMPROVEMENT FORECAST USING VECTOR AUTOREGRESSION APPROACH ON TAX REVENUE IN NIGERIA

Baba Gimba Alhassan and Nma Musa Tela 

Department of Statistics,

The Federal Polytechnic, Bida, Niger State

Email: gazhigun@gmail.com  

ABSTRACT 

The paper proposed an improved Multivariate time series model for tax revenue using Vector Auto regression (VAR) approach. The advantage of this study is to verify the error variance decomposition on both the transformed and un-transformed data. To check the efficiency this, approach the four stages of VAR were observed with R package to examine the MAE, RMSE, MAPE, and MSE. The result shows that, the error variance decomposition in transformed data is less than the error variance decomposition in Untransformed data (i.e 1.5e-15 < 2.2e-16) which means that, there’s significant difference in the error variance decomposition  The models suggested by information criterion procedure are different because VAR (1) model is selected for transformed data for all the criterions while  by information criterion procedures, however VAR (3) model is the most suitable model for the data sets based on the model adequacy checking and accuracy testing.