This paper presents the design of a technological framework for electronic voting (E-voting) systems in Nigeria. The traditional voting system with paper ballots used in the Nigeria electoral system is time consuming and in most cases marred with irregularities due to system and/or human errors. These irregularities usually results in inconclusive electoral decisions, violent arguments, and expensive litigations. Certain technologies and recently card readers with biometric authentication have been employed to achieve transparent polls. However, high level frauds still accompany results due to human control of these technological devices and have not generated the required trust resulting in a drastic decrease in voter participation. The framework presented here seeks to combine different e-voting technologies in a way that best suit the Nigeria electoral system in order to build trust and boost participation. The result is an automated polling system that requires minimum supervision with adequate transparency and accuracy of the voting process. The framework showcased how a cost saving real-time electoral procedure can be achieved, with the presentation of precise and accurate results at the end of any election.

This study presents the analysis of energy revenue and electrical power losses in distribution network, aimed to determine the energy losses on power distribution system. The 11kV power transmission line at Ujokuen community feeding to Benson Idahosa University was investigated. The following data were obtained as follow: energy delivered, energy billing, total cash amount, billed collected and correspond percentage. From the research work various technical power losses associated with power distribution network were determined and their effect on energy delivered and energy billing and corresponding difference under the area of investigation. It was observed that energy delivered is not constant or linear for the year 2013. The comparison of energy delivered and energy billed for various years were determined. It was observed that there is decreased in energy delivered and energy billed from 2013 to 2015 and the system witnessed a slightly increase of energy delivered and energy billed from 2016 to 2018. The energy level differentials are due to copper losses, energy theft and core loss.