This research is carried-out to evaluate the effectiveness of data mining in determining viability of routes, efficient scheduling and assigning of vehicles to commuters. The study was guided by the following objectives: modification of Apriori algorithm, implementation using C programming language, analyses and deductions from the results to determine if a given route is feasible. Data Mining (association rule) technique has been used to identify geographical locations where accidents have occurred and their characteristics, in road management to develop effective accident preventive measures, to determine estimated travel time and in market basket analysis applied in grocery stores. Data was collected from three transport companies for each route. The data was inputted into the program implemented using modified Apriori algorithm. The study findings revealed the volume of commuters per route and how vehicles can be assigned and scheduled. Using the above findings, effective transport service system is designed using routes viability

The discovery of Graphene and its unique properties has attracted great interest. Unfortunately, the synthesis of graphene in large scale is challenging, for this reason the derivative of graphene such as graphene oxide (GO) and reduce graphene oxide (rGO) have become alternative sources. The reduction of graphene oxide is an alternative route to obtain graphene-like behavior. This study is aim at examining the similarities and difference between thermal reduction technique and pulse laser method of reduction of (GO). The method utilizes a pulse laser beam for reduction of GO layers on glass substrates and thermal reduction technique. Using the pulse laser method, conductivity of reduced GO was found to be 2.325E-2(1/ohm) which is six times higher than conductivity values reported for GO layers reduced by thermal means at 400oC which was 3.740E-3(1/ohm). A higher transmittance was observed for the pulse laser annealed which holds promising application in a lot technological research. The scanning electron microscope (SEM) result reveals the evenly distribution of the GO around the substrate. The non-thermal nature of the pulse laser method combined with its simplicity and scalability, makes it very attractive for the future manufacturing of large-volume graphene-based optoelectronics

Perovskite solar cells (PSCs) research is substantially drawing attention because of the fast improvement in their power conversion efficiency (PCE), cheapness, possibility to tune the bandgap, low recombination rate, high open circuit voltage, excellent ambipolar charge carrier transport and strong and broad optical absorption. In this research, Zinc oxide as electron transport material (ETM) and copper iodide as hole transport material (HTM) have been optimized using SCAPS-1D simulation software. The thickness, bandgap, of ZnO (ETM) and CuI (HTM) was investigated. Results shows that the thickness and bandgap were found to strongly influence the PCE of perovskite solar cell. ZnO/CuI   was found to be a better replacement to TiO2/Cu2O for stability and low degradation rate. It was observed that the maximum efficiency is 22.04%, Voc of 0.84V, JSC of 32.83mA/cm2 and FF of 79.79% was obtained when the thickness of ETM and HTM layer of (CH3NH3PbI3) PSCs which was found to be optimum at 0.2μm for the final optimization.