Table of Contents

Polycyclic Aromatic Hydrocarbons in Archival Soil Samples

from the Rothamsted Experimental Station, Hertfordshire

Ivwurie W., Emelife S.C., Sun C. and Snape C.                                                                          1 – 7

Process Heat Integration and Pinch Analysis of a Vegetable Oil

Extraction Plant

Seigha I. Fetepigi, Zekieni R. Yelebe and Revelation J. Samuel                                          8– 18

The Structure of the Permutation Modules for Transitive Abelian Groups

for Prime-Power-Order

Mohammed A., Ngulde, S.G. & Mandara A.V.                                                                         19 – 25

Variation of VHF/UHF Television Field Strength and Television Horizon

Distribution over Television Station in Osun State, Nigeria

Ojo, O.A.  Oluwafisoye P. and Omoyeni T.M.                                                                          26 – 34

The Effect of Mathematics Ability on Performance in Principles of Accounting

Omotosho, Gabriel Akinlolu                                                                                                    35 – 44

A Daily Japanese Yen – Nigerian Naira Exchange Rates Simulation Model

Ette Harrison Etuk & Pius Sibeate                                                                                           45-55

Innovation Diffusion in Digital Age at the Implementation Stage of a

Construction Project in Nigeria

W.A. Kareem, O.A. Asa, L.O. Babatunde,M.O. Lawal and B.O. Olabode                                  56-66

Daily Chinese Yuan – Nigerian Naira Exchange Rates Sarima Modeling

Ette Harrison Etuk                                                                                                                   67-78

Application of Iterative Weighted Similarity Transformation (IWST)

Deformation Detection Method using Coordinate Differences from

Different Observational Campaigns

Omogunloye O.G.L., Ipadeola A.O., Shittu O.G. and Ojegbile B.M.                                          79-98

4G Networks: Benefits and Challenges

Rilwan Sabo Muhammad & Maryam Aminu Suleiman                                                       99-111

4G NETWORKS: BENEFITS AND CHALLENGES

Rilwan Sabo Muhammad & Maryam Aminu Suleiman

Department of Management & Information Technology,

Abubakar Tafawa Balewa University, Bauchi.

Email: rilwanusabo111@gmail.com & maryamsuleiman@hotmail.com

ABSTRACT

The next generation of wireless communication technology known as fourth generation (4G) allows operators to  use new and wider spectrum and supplements third generation 3G and 3.5G wireless technologies with higher user data rates, lower latency and a complete internet protocol(IP) base network  architecture. The purpose of this paper is to provide an overview of the different aspects of 4G which includes its features, its proposed architecture, key technological enabler, it benefits over existing wireless communication system, present key challenges and point out some proposed solutions. This research paper explains the concept of multimode software for maintaining different networks, along with the mechanisms of system initiated discoveries. User account management, which is a challenge, has been discussed. The paper describes the concept of security that should be given attention. The paper vividly highlight some benefits of 4G networks to wireless mobile communication as well as 4G network standards.

APPLICATION OF ITERATIVE WEIGHTED SIMILARITY TRANSFORMATION (IWST) DEFORMATION DETECTION METHOD USING COORDINATE DIFFERENCES FROM DIFFERENT OBSERVATIONAL CAMPAIGNS

Omogunloye O.G.l.*, Ipadeola A.O.**, Shittu O.G.* and Ojegbile B.M.*

*Department of Surveying and Geoinformatics Engineering

**Department of Surveying and Geoinformatics

Faculty of Engineering, University of Lagos, Akoka-Lagos, Nigeria

Faculty of Environmental Sciences, University of Ilorin, Ilorin, Nigeria

E-mail:- gabolushohan@yahoo.com, dapsen2010@gmail.com

ABSTRACT

In this study, application of deformation in geodesy is presented. Deformation analysis is one of the major researchfields in geodesy and geomatics. This involves detecting and analysing change in shape and form of objects and structures on the earth surface using geodetic techniques. Deformation analysis process comprises measurement and analysis phases. Measurements can be collected using several techniques. The measurement techniques and the instruments used for such monitoring are categorized as geodetic and non-geodetic (i.e., geotechnical/structural) methods. A geodetic method was utilized in this study. This paper presents a deformation analysis of control network with a focus on procedure that consists of network design, network adjustment of individual campaigns, trend and deformation detection of the displacement field. The Iterative Weighted Similarity Transformation (IWST) robust method of analysis has been adopted and applied in determining the trend of movements and deformation detection for all the common points in the network. The developed procedure has been implemented in a program package developed using MATLAB software. Two campaign sets of data of control stations within Lagos State, Nigeria were used. The coordinate changes in the point positions were investigated. Results from the analysis indicate that all the stations have undergone movements but not all are significantly deformed. The deformation and statistical analyses shows that of the 18 stations analysed, five (5) have been significantly deformed while the remaining thirteen (13) stations are relatively stable over time.

DAILY CHINESE YUAN – NIGERIAN NAIRA EXCHANGE RATES SARIMA MODELLING

Ette Harrison Etuk

Department of Mathematics,

Rivers State University of Science and Technology, Port Harcourt

Email: ettetuk@yahoo.com

ABSTRACT

A 179-point realization of daily exchange rates of the Chinese Yuan and the Nigerian Naira spanning from 18^th October 2015 and 13^th April 2016 is analyzed by seasonal autoregressive integrated moving average (SARIMA) methods.  The time plot shows an initial downward trend up to the middle of December 2015 and then an upward trend from then onwards. This means that prior to the middle of December 2015 the Naira was relatively appreciating before it started depreciating relatively.  The series is adjudged as non-stationary by the Augmented Dickey Fuller Test. A seven-point (i.e. seasonal) differencing of the series yields a series which, though adjudged stationary, still exhibits seasonality and therefore could not said to be stationary. A further (non-seasonal) differencing is done to achieve stationarity.  The autocorrelation structure of the resultant series suggests the possibility of some SARIMA models. These include a SARIMA(0,1,1)x(0,1,1)₁₂ and a SARIMA(0,1,0)x(0,1,1)₁₂. Comparison on the basis of the information criteria AIC, Schwarz criterion and Hannan-Quinn criterion shows that the former model is the superior. It is as well observed that its residuals are white noise.  Forecasting and simulation of these rates may be done on its basis.

INNOVATION DIFFUSION IN DIGITAL AGE AT THE IMPLEMENTATION STAGE OF A CONSTRUCTION PROJECT IN NIGERIA

¹W.A. Kareem, ¹O.A. Asa, ²L.O. Babatunde, ³M.O. Lawal and ⁴B.O. Olabode

1. Department of Architectural Technology, The Federal Polytechnic, Ede
2. Department of Architectural Technology, The Oke-Ogun Polytechnic, Saki
3. Department of Leisure and Tourism Management, Federal College of Wildlife Management, New Bussa, Niger State
4. Department of General Studies, The Oke-Ogun Polytechnic, Saki

ABSTRACT

With the significant advancement in communication technologies in the last two decades, there has been a renewed interest in information and communication technologies (ICTs) as a sign for modern development. There is a strong belief in the potential of ICTs to bring social and economic development to developing countries. This paper therefore focuses on construction industry (CI) innovation, particularly with the rate at which Information Communication Technology (ICT), has been growing steadily with the advent and widespread use of the Internet. However, despite its potential for delivering competitive advantage, many companies have failed to effectively realize promised benefits from ICT due to misunderstanding relationship between factors and processes influencing ICT implementation. Results from recent in-depth quantitative ICT implementation research on three construction contractors provides useful insights and practical experience of lessons learned that can be more broadly disseminated. These research results about how it may be applied to improve ICT adoption at different implementation stages for the CI. They suggest that strategic ICT implementation planning needs to consider issues of critical management support, technical support, supportive workplace, environment and ICT user’s individual-characteristics so that the framework processes offered can be effectively applied.

Keywords: Innovation, Diffusion, Digital Age, Construction Project.

A DAILY JAPANESE YEN – NIGERIAN NAIRA EXCHANGE RATES SIMULATION MODEL

  Ette Harrison Etuk & Pius Sibeate

Department of Mathematics, Rivers State University of Science and Technology, Port Harcourt, Nigeria

Rivers State Ministry of Education, Port Harcourt, Nigeria

Email: ettetuk@yahoo.com

ABSTRACT

Daily Japanese Yen / Nigerian Naira exchange rates are modelled as a time series. A time plot of a realization of the series, which begins from 15^th October 2015 to 8^th April 2016, shows that relatively the Nigerian currency is depreciating. The exchange rates are adjudged to be non-stationary by the Augmented Dickey Fuller Test. A seven-point differencing of the series is not enough to render the series stationary according to the same unit-root test.  Differencing of the seasonally differenced series finally renders the series stationary. The autocorrelation structure of this stationary series makes some seasonal autoregressive integrated moving average models suggestive. Such models include three  with orders (0,1,1)x(0,1,1)₇, (0,1,0)x(0,1,1)₇ and (1,1,1)x(1,1,1)₇. The model selection criteria AIC, Schwarz criterion and Hannan-Quinn criterion unanimously adjudge the second model as the most adequate. Seven later values of the series from 9^th to 15^th April 2016 are used to compare with the forecasts. It is observed that this out-of-sample comparison shows the forecasts to be very close to the observations; in fact, they are not significantly different from them. Therefore forecasting and simulation of the series may be done using the proposed model.

THE EFFECT OF MATHEMATICS ABILITY ON PERFORMANCE IN PRINCIPLES OF ACCOUNTING

Omotosho, Gabriel Akinlolu    

Department of Natural Science,

Nasarawa State Polytechnic, Lafia

Email: jogbodoakinlolu@gmail.com

ABSTRACT

The study of mathematics provides an excellent basis for the applied techniques of accountancy and finance although most accounting educators readily acknowledge that mathematical ability has a significant impact on student performance in accounting courses, to date no statistical research has appeared that numerically quantifies the effect. The present research estimates the incremental effect of mathematics ability on student performance in principles of accounting by means of regressing student performance in a principles course on the student’s score on 24-question mathematics pre-test, as well as on other determinants of performance such as Grade Point Average. The overall effect of mathematic ability is estimated, and also the effect of mathematic ability in specific areas of mathematics such as proportions and percentages. It is found that while each one of the mathematic score variables is highly significant according to the standard t-statistic test, the overall explanatory power of the regression equation, as measured by its R-squared, is not increased very much in a numerical sense by the addition of any one of them to a regression equation that already includes as an explanatory variable Grade Point Average. This finding does not imply that mathematics is unimportant to student performance in accounting, but rather that mathematics ability is so highly correlated with other academic ability indicators that disentangling the effect of math ability from the effect of other ability indicators is statistically problematic. Nevertheless, the pre-test itself can be utilized to conveniently identify at-risk students in principles of accounting courses, especially for those with measured low arithmetical and percentages and proportions skills.

VARIATION OF VHF/UHF TELEVISION FIELD STRENGTH AND TELEVISION HORIZON DISTRIBUTION OVER TELEVISION STATION IN OSUN STATE, NIGERIA

¹Ojo, O.A.  Oluwafisoye ²P.A.and ³ Omoyeni T.M.

^{1, 2, 3} Department of Physics with Electronics,

Osun State University Osogbo, Osun State, Nigeria

E-mail: dotun4realoj@gmail.com

ABSTRACT

Many Researchers have continued to carry-out work to determine the actual coverage area of some broadcasting stations. The level of signal strength variation with distance from the transmitter and their horizon distribution, which is also useful for radio transmission designs also remain a major area of research. in Nigeria, little has been documented in this regard for the television stations recorded is quite a number to evaluate broadcasts. The selected television broadcast station is in Osun State, Nigeria. The method used is such that requires the physical presence of the investigator in all the towns and villages within the state with the necessary instrument to carry out the electric field strength measurements in all the locations. The variation of signal level with distance (i.e. propagation curve) was analyzed, to reveal areas of optimum coverage and areas that are poorly serviced. .Drive test measurement was conducted on transmitted signal for the entire broadcast television transmitter in Osun State. Various path loss models were selected to predict the variation at each of the measurement point and they are the Eglimodel, the Cost 231 Hatamodel, the Okumura-Hata model, the Lee model and the Stanford University Model for different terrain. Results indicate that the Cost 231Hata model was found to be the best prediction for the variation.