ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY AND ENVIRONMENT https://www.azojete.com.ng/index.php/azojete <p align="justify">The Arid Zone Journal of Engineering, Technology and Environment is peer reviewed journal with the objectives to explore, develop and elucidate the knowledge of Engineering design and technology, to keep Practitioners and Researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge and expertise among technology researchers and practitioners. AZOJETE is published by the Faculty of Engineering, University of Maiduguri, Nigeria.</p> <p><strong>p-ISSN:</strong> 1596-2490 | <strong>e-ISSN:</strong> 2545-5818</p> <p><strong>PUBLICATIONS:</strong> MARCH, JUNE, SEPTEMBER AND DECEMBER</p> <p>AZOJETE is currently indexed in the following indexing platforms</p> <p><a href="https://scholar.google.com/citations?user=M32TLtAAAAAJ&amp;hl=en&amp;authuser=1" target="_blank" rel="noopener">GoogleScholar</a>, <a href="https://doaj.org/toc/2545-5818?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22terms%22%3A%7B%22index.issn.exact%22%3A%5B%222545-5818%22%5D%7D%7D%2C%7B%22term%22%3A%7B%22_type%22%3A%22article%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22match_all%22%3A%7B%7D%7D%7D%7D%2C%22size%22%3A100%2C%22_source%22%3A%7B%7D%7D" target="_blank" rel="noopener">DOAJ</a>, <a href="https://unimaid.academia.edu/AZOJETEUNIMAID" target="_blank" rel="noopener">ACADEMIA</a>, <a href="http://paper.researchbib.com/view/issn/1596-2490/9/1" target="_blank" rel="noopener">ResearchBib</a>, <a href="http://cosmosimpactfactor.com/page/journals_details/2486.html" target="_blank" rel="noopener">CosmosIF</a>, <a href="https://www.citefactor.org/journal/index/17181/arid-zone-journal-of-engineering-technology-and-environment#.XhqbMb5KjIU" target="_blank" rel="noopener">CiteFactor</a>, &nbsp;Bielefeld University Library, IIJIF, SIS, Cosmos Impact Factor, <a href="http://www.journaltocs.ac.uk/index.php?action=browse&amp;subAction=subjects&amp;publisherID=34&amp;journalID=38287&amp;pageb=1&amp;userQueryID=&amp;sort=&amp;local_page=&amp;sorType=&amp;sorCol=" target="_blank" rel="noopener">JournalTOCs</a>, <a href="http://oaji.net/journal-detail.html?number=4371" target="_blank" rel="noopener">OAJI</a>,&nbsp; 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Aviara) oyeniyisk@gmail.com (Engr. S.K. Oyeniyi) Mon, 01 Jun 2020 00:00:00 -0400 OJS 3.1.2.4 http://blogs.law.harvard.edu/tech/rss 60 Optimizing Energy Utilization in Unequally Spaced Linear Array for Smart Antenna https://www.azojete.com.ng/index.php/azojete/article/view/204 <p><em>Radiation in the form of unwanted patterns, energy wastage and reduction is caused by high side lobe levels in a radiation pattern. This, in turn, affects the overall performance of the antenna. The purpose of this work is to improve the performance of a smart antenna by optimizing the radiation pattern using the genetic algorithm. Optimal antenna parameters that would minimize side lobe level were obtained using genetic algorithm. Simulations were carried out to determine the impact of the increase in inter-element spacing on array factor and beamwidth using the optimal antenna parameters. The optimal arrangement of inter-element spacing and number of elements in unequally spaced antenna elements were then considered. The array factor model for a uniform linear array of elements was used to obtain the optimum weights that would give the desired radiation pattern with reduced side lobe level. Results for the unequally spaced linear arrays revealed that non-tapered arrangement among all the possible configurations gave the best improvement in the side lobe level. The outcome of this improvement is an optimized radiation pattern which is expected to aid the reduction of radiated power wasted in the side lobes of linear arrays in antenna systems.</em></p> T. O. Fajemilehin, J. F. Opadiji, S. A. Olatunji Copyright (c) 2020 Arid Zone Journal of Engineering, Technology and Environment published by University of Maiduguri, Nigeria. https://creativecommons.org/licenses/by-nc-nd/4.0 https://www.azojete.com.ng/index.php/azojete/article/view/204 Mon, 01 Jun 2020 00:00:00 -0400 Computational Model of Artificial Neural Networks and its Applications in Data Mining https://www.azojete.com.ng/index.php/azojete/article/view/205 <p><em>Data remain a very important ingredient required by any organization to make informed decision as it affects operations. Companies have been collecting data from various sources over the decades bringing about a very large volume of data warehouse. Unfortunately, most organizations build databases which are redundant and never used for any meaningful thing. While few companies use the data collected in their databases when taking strategic decisions others barely do same. However, for an organization to immensely derive benefits from the massive data warehouse, there is the need for an effective and efficient means of analysing the data with a view to extracting meaningful knowledge that is sufficient to achieve organizational goal. To achieve this, Artificial Neural Network (ANN) technique through the concept known as data mining is presented. The paper reviewed artificial neural network technique for data mining, examines the computational model behind this technique and analysed its use and application as a predicting or forecasting tool. Results shows that ANN’ has capability in data management, analysis and able to provide desirable knowledge for management decision making processes. It is therefore recommended that data mining tools like ANN and others be applied to organization’s databases which hitherto have not been minned in order to provide management with intelligence for decision making</em></p> J. Abah, E. S. Alu, A. E. Chahari Copyright (c) 2020 ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY AND ENVIRONMENT https://creativecommons.org/licenses/by-nc-nd/4.0 https://www.azojete.com.ng/index.php/azojete/article/view/205 Mon, 01 Jun 2020 00:00:00 -0400 Design and Construction of an Arduino - Based Solar Power Parameter-Measuring System with Data Logger https://www.azojete.com.ng/index.php/azojete/article/view/206 <p><em>Accurate monitoring and measurement of solar photovoltaic panel parameters are important for solar power plant analysis to evaluate the performance and predict the future energy generation. There are always challenges of getting such data readily available due to huge amount of money to be spent on state of the art equipment or the purchase of reliable satellite weather data. This study aimed at the development of a cost-effective parameter-measuring system for a solar photovoltaic panel using Arduino microprocessor board. The systems measure five parameters, including voltage, current, light intensity, temperature, and pressure. The hardware circuit was designed to link different sensors with the Arduino board and the measured data were in turn were documented into a computer for further analysis. The accuracy of the constructed device was ascertained by comparing the measured parameters with that of conventional standard measuring instruments which shows good agreement. The measured parameters show that the output energy generation from solar photovoltaic panel largely depends on the solar irradiance and temperature</em></p> I. Oladimeji , Y. B. Adediji , J. B. Akintola , M. A. Afolayan, O. Ogunbiyi, S. M. Ibrahim , S. Z. Olayinka Copyright (c) 2020 Arid Zone Journal of Engineering, Technology and Environment published by University of Maiduguri, Nigeria. https://creativecommons.org/licenses/by-nc-nd/4.0 https://www.azojete.com.ng/index.php/azojete/article/view/206 Mon, 01 Jun 2020 00:00:00 -0400