Volume 3, Issue 6

Special Issues

Special Issue on Advances in Medical Imaging: Novel Techniques and Clinical Applications
Guest Editors: Muhammad Yaqub, Atif Mehmood, Muhammad Salman Pathan
Deadline: 31 December 2024

Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Paul Andrew
Deadline: 15 October 2024

Volume 3, Issue 6
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Editorial
Front Cover

Publication Month: June 2024, Page(s): A1 – A1 

Editorial Board

Publication Month: June 2024, Page(s): B1 – B1

Editorial

Publication Month: June 2024, Page(s): C1 – C1

Table of Contents

Publication Month: June 2024, Page(s): D1 – D1

Articles
Using Artificial Intelligence Models to Predict the Wind Power to be fed into the Grid

Sambalaye Diop, Papa Silly Traore, Mamadou Lamine Ndiaye, Issa Zerbo

J. Engg. Res. & Sci. 3(6), 1-9 (2024);

The Taïba Ndiaye wind farm, connected to the SENELEC grid, plays a key role in offsetting shortfalls in electricity consumption, with an installed capacity of 158.7 MW. Moreover, as an intermittent power station, its production is highly dependent on the environmental conditions in the region. Bad weather can disrupt the electricity network, requiring forecasting methods to anticipate its production. This will make it easier to decide how much fossil energy to bring on stream to meet demand. The aim of this paper is to provide forecasts of wind generation at Taïba Ndiaye, subdividing the data into 80% for model training and 20% to assess its robustness to generalization to other situations. The aim is to quantify the energy produced and facilitate an optimal transition between intermittent and fossil energy sources. Two artificial intelligence models classified as machine learning (decision tree and random forest) are proposed in the study, with respective coefficients of determination of 0.92 and 0.938. The results, compared with the literature, demonstrate the reliability of the approach using only production data. These results promise significant benefits in terms of resource management.

Microwave and Microcontroller Technology to Achieve Warm Water Bathing

Prashobh Karunakaran , Mohammad Shahril Osman , Badrul Hisham Hossain

J. Engg. Res. & Sci. 3(6), 10-17 (2024);

Using electricity to heat up water was among the first uses of electricity by Thomas Edison and the electric kettle has become ubiquitous.  But the possible electrocution of humans is low in the above but not so in the bathing water heater where the heating element through which up to 3.6 kW of electricity flows is covered with a copper tube upon which water flows over to get heated up.  Even if there is a pin hole in the copper tube, water will enter it and be exposed to the full power and this electrically conductive water later flows to the human taking bath causing fatalities.  The good brand of bathing water heaters takes care of safety by using as pure as possible copper which is in the same column as gold and silver in the periodic table where they share the property being more immune to corrosion.  In this research and built up, a microcontroller controls the flow of water into a glass container placed within a microwave oven to get heated up.  And this water later flows out to enable the human to bathe.  This way, there is no possibility of electrocution of humans.

Educational Applications and Comparative Analysis of Network Simulators: Protocols, Types, and Performance Evaluation

Nikolaos V. Oikonomou  , Dimitrios V . Oikonomou

J. Engg. Res. & Sci. 3(6), 18-32 (2024);

This work explores the role of simulation in computer networks, discussing various network types, communication protocols, and the utilization of network simulators, with a focus on educational settings. We specifically analyze and compare five prominent network simulators: Cisco Packet Tracer, Riverbed Modeler Academic Edition, GNS3, NS-3, and Mininet. These tools are examined in terms of their functionality, user-friendliness, and suitability for educational purposes, assessing how they facilitate learning for students and trainees. The comparison extends to their operational capabilities, differences, effectiveness, and overall impact on networking education. The evaluation aims to highlight each simulator’s strengths and weaknesses, providing insights into their practical applications in an academic context.

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