Cross River University of Technology

About: Cross River University of Technology is a education organization based out in Calabar, Nigeria. It is known for research contribution in the topics: Population & Exergy. The organization has 465 authors who have published 507 publications receiving 2705 citations.

Sarima Modelling of Passenger Flow at Cross Line Limited, Nigeria

Abstract: For a developing country like Nigeria, the main issue in transportation is the problem of logistic resulting in large crowed of stranded passengers in motor packs and bus terminals. This problem is as a result of depending too much on conventional wisdom, instead of tested scientific and empirical methods in planning for the future. An example is the case of Cross line Limited, a transport company owned by the Cross river state government in Nigeria. Cross Line Limited has logistic problems due to factors mentioned above and has resulted to passenger frustrations in most of its forty one approved routes. These routes effectively cover all parts of cross River State and all state capitals as well as Abuja, the Nation's Capital. Therefore the effects of poor logistic in the socioeconomic development of Cross River State can better be imagined. The thrust of this work is therefore to determining appropriate SARIMA model that can adequately predict passenger traffic as an empirical tool for logistic planning. We collected passenger data from Cross Line Limited and used the visualization tools of ACF and PACF complemented by model selection criterion of AIC and BIC to identify SARIMA (1, 1, 0)*(1, 0, 1) as an appropriate model for predicting future volume of passenger traffic. Forecast generated using this model captured the major characteristic of the original data. If adopted and properly used, this model will help Cross Line management in logistic planning for the future and hence help in decongesting passengers in motor packs and bus terminals.

Critical Review of Financial Sector Reforms and Financial Liberalization in Developing Countries [A Practical Discussion in Nigerian Context]

Abstract: The main objective of this paper is to assess the impact of financial sector reforms/liberalizations on savings mobilization in Nigeria. Financial liberalization involves the elimination of credit controls, deregulation of interest rates, easing of entry into the financial services industry, development of capital markets, increased prudential regulation and supervision, and liberalization of international capital flows. Reforms are expected to increase competitive efficiency within the financial market in at least three ways. Firstly, the elimination of regulations and price distortions, which allows savings to be directed into highest-yielding [risk-adjusted] form of investment [improved allocative efficiency]. Secondly, increased competition reduces the cost of financial intermediation [higher operational efficiency]. Thirdly, the reform measures, generates and improved range of financial products and services adaptable to changing consumer need [dynamic efficiency]. Although financial reforms can increase the efficiency by channeling resources into productive use, its impact on the quantity of savings is theoretically ambiguous. Accordingly, this paper dwells on theoretical issues and critical review of financial sector reforms/financial liberalization in Nigeria. Attempt was also made to assess the impact of the reforms/liberalization. The paper analyzed the roles of the recent literature. Ten indicators that encompass all the qualities of a well developed financial sector reforms were selected to measure the impact of financial sector deregulation on the economy.

Effect of geometry on the performance of integrated solar and hydraulic jump enhanced waste stabilization pond

Abstract: The effect of surface area geometry on the performance of the integrated solar and hydraulic jump enhanced waste stabilization pond (ISHJEWSP) on the treatment of sewage wastewater was studied. The set-up consisted of eight numbers of experimental ponds with varying width. The enhanced ponds were constructed to enable the initiation of hydraulic jump. Three sets of these experimental ponds were constructed with varying locations of the points of initiation of hydraulic jump. The enhanced ponds were fitted with tilt frame, wrapped with aluminium foil paper. Wastewater samples collected from the inlet and outlet for varying inlet velocities were examined for physicochemical and biological characteristics for a period of nine months. The parameters examined were temperature, pH, detention time, dissolved oxygen, total coliform count, total suspended solids, E coli, algae concentration and biochemical oxygen demand. The efficiencies of the ISHJEWSPs with respect to these parameters fluctuated with var...

Suitability of burnt and crushed cow bones as partial replacement for fine aggregate in concrete

Abstract: The suitability of burnt and crushed cow bones (BCCB) as partial replacement for fine aggregate in concrete was studied. The percentages of replacements of fine aggregates of 0, 10, 20, 30, 40 and 50%, respectively of BCCB were tested considering 1: 2: 4 and 1: 1 1 / 2 :3 concrete mix ratios. The cow bones were burnt for 50 minutes up to 92 o C before being crushed. Ninety-six (96) concrete cubes of 1: 2: 4 mix ratio and ninety-six (96) concrete cubes of 1 : Â : 3 mix ratio measuring 150x150x150mm were tested for the compressive strength at 7, 14, 21 and 28 days respectively. The research revealed that the BCCB acted as a retarder in the concrete. Water-cement ratio increased with the increase in the percentage of the BCCB. The mixes of 1:2:4 and 1: :3 at 28 days curing yielded average compressive strengths in N/mm 2 ranging from 16.49 - 24.29 and 18.71 - 29.73, respectively. For the mix ratios of 1:2:4 and 1: : 3 at 28 days curing age, Â it was observed that increase in the BCCB content beyond 40 and 50%, respectively resulted to the reduction of the average compressive strength below recommended minimum strength for use of concrete in structural works. http://dx.doi.org/10.4314/njt.v36i3.4

Assessment of regional best-fit probability density function of annual maximum rainfall using CFSR precipitation data

Abstract: The upper Cross River basin (UCRB) fits a true description of a data scarce watershed in respect of climatic data. This paper seeks to determine the best-fit probability density function (PDF) of annual maximum rainfall for the UCRB using the Climate Forecast System Reanalysis (CFSR) precipitation data. Also, to evaluate the performance of the Intergovernmental Panel on Climate Change (IPCC) Coupled Model Inter-comparison Project (CMIP3) Fourth Assessment Report (AR4) Global Circulation Models (GCMs) in simulating the monthly precipitation in the UCRB considering 1979–2014 data. For the determination of the best-fit PDF, the models under review included the generalized extreme value (GEV), normal, gamma, Weibull and log-normal (LN) distributions. Twenty-four weather station datasets were obtained and subjected to frequency distribution analysis on per station basis, and subsequently fitted to the respective PDFs. Also, simulated monthly precipitation data obtained from 16 AR4 GCMs, for weather station p6191, were subjected to frequency distribution analysis. The results showed the percentages of best-fit to worst-fit PDFs, considering the total number of stations, as follows: 54.17%, 45.83%, 37.50%, 45.83%, and 50%/50%. These percentages corresponded to GEV, Weibull, gamma, gamma, and LN/normal, respectively. The comparison of the predicted and observed values using the Chi-square goodness-of-fit test revealed that the GEV PDF is the best-fit model for the UCRB. The correlation coefficient values further corroborated the correctness of the test. The PDF of the observed data (weather station p6191) and the simulations of the 16 GCMs computed using monthly rainfall datasets were compared using a mean square error (MSE) dependent skill score. The result from this study suggested that the CGCM3.1 (T47) and MRI-CGCM2.3.2 provide the best representations of precipitation, considering about 36 years trend for station p6191. The results have no influence on how well the models perform in other geographical locations.