INTERNET

This study was designed to identify roles of academic libraries in promoting information literacy skills for lifelong learning amongst undergraduates of UNIBEN. Four research questions were raised and analyzed for the purpose of the study. The descriptive survey was used to survey all the two hundred and eleven (211) Professional, Para-Professional and Non-Professional Library Staff at John Harris Library, University of Benin, Benin, Edo State. The instrument used for data collection was the questionnaire and it was analyzed using frequency and simple percentage. The results revealed the internet resources used by undergraduate student during COVID 19 era. It also shows the influence of internet resources on information seeking behavior of undergraduates during covid 19 era and the extent of use of internet resources by undergraduate students for seeking of information. Based on the result, it was recommended that internet tools used for information retrieval should be maintained and used so that library staff can focus on other things. Students should be disciplined when using the internet for academic purpose as distractions is inevitable when using the internet. Finance also has a stronghold on the use of internet resources, ranging from bandwidth, power supply etc. Proper measures should be put into considerations to ensure the smooth use of the internet resources. In order to save the patron's time, library professionals should respond to user queries as soon as possible when the nature of the problem to be answered is complex. Poor internet connections also have an impact on student’s information-seeking behavior. Libraries and students should subscribe to a reliable and internet service provider or better still have options where one internet service provider is down for a moment, in such scenario, one can easily switch to the next internet service provider (ISP).

This project focuses on remotely measuring and analyzing electrical parameters of a 3-phase transformer, with primary objectives including assessing line and phase voltage, Real and Reactive Power and power factor remotely, transmitting the data to the cloud, and conducting comprehensive data analysis. The methodology involved utilizing a 3-phase meter with a CT clamped to the three-phase output on the control panel, configured to communicate with a 4G IoT gateway for internet connectivity. Data was transmitted to the cloud, extracted, and processed using machine learning libraries such as pandas, numpy, seaborn, and scikit-learn on Kaggle web data analysis platform. A linear regression model was constructed to forecast sum of reactive power based on real power and reactive power values. The results of the project showcase the effectiveness of remote monitoring and data analysis techniques in predicting electrical parameters. The linear regression model exhibited high performance, with a mean squared error of 16.97 and an R-squared value of 0.98, indicating precise predictions. Minimal deviations were noted when comparing actual and predicted values. These findings underscore the potential of such techniques in enhancing system efficiency and reliability through informed decision-making.

This study investigates the impact of the adoption of Internet of Things (IoT) on residential property management in Abuja Metropolis. The aim was to examine the extent of IoT adoption, evaluate its benefits in enhancing property management efficiency, and identify the challenges hindering widespread implementation. A survey research design was employed. Structured questionnaires were administered to 52 out of 184 real estate firms operating in Abuja and 25 out of 125 smart home users. The responses were analyzed using descriptive and inferential statistical tools to assess patterns of adoption, perceptions, and outcomes of IoT utilization in residential property management. Findings revealed that IoT adoption significantly improved security, energy efficiency, remote monitoring of facilities, communication between managers and tenants, and overall tenant satisfaction. Real estate firms acknowledged IoT as a tool for reducing operational costs and ensuring proactive maintenance. However, challenges such as high installation and maintenance costs, inadequate digital literacy among users, poor awareness, and unstable internet connectivity were identified as major barriers to full- scale adoption.