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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art
Enabulele, Ewemade Cornelius
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Agriculture, Biological Sciences & Forestry Arts Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Engineering Environmental Science Physics Social Sciences Other

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Internet of Things (IoT) Driven Water Management System for Efficient Level Control Nzeanorue, Christian Chukwuemeka; Nnana, Ogba Samuel; Victoria, Shittu Sarah; Nzeanorue, Chibuike Godswill; Enabulele, Ewemade Cornelius; Olusola, Raphael Aduramimo; Jamiu, Ridwan Olamilekan; Daramola, Merinuibi Sunday; Stephen, Victor Ikechukwu; Ekunseitan, Kehinde Deji
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 3 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i3.3783

Abstract

Water is an essential and valuable resource in daily life, making its conservation crucial to prevent adverse effects. Storing water for domestic, industrial, agricultural, and other purposes is particularly important. Safe drinking water is increasingly becoming polluted due to the growing population and their demands for urbanization and industrialization. At the household level, some people leave electric water pumps running and either go to work or sleep, forgetting to turn off the pumps when the water container is full. This highlights the need for a reliable and continuous water supply. IoT plays a significant role in environmental monitoring, particularly in disaster management, early warning systems, and environmental data analytics. One major challenge in urban cities is water management, especially with the rapid growth of urbanization, necessitating sustainable urban development plans. To address these issues, we propose a "Water Level Monitoring System" solution. This paper presents an IoT-based water monitoring system for real-time applications. The system's sensors measure the water level in the tank, and the data is sent to a cloud server, allowing users to view it on a remote dashboard. This system can be used efficiently by both homeowners and industrial users, as well as other water utilities.
Intelligent Recycling Facilities with IoT Sensors and Data Analytics for Environmental Justice and Sustainable Materials Processing in Low-Income Areas Akintayo, Taiwo Abdulahi; Enabulele, Ewemade Cornelius; Paul, Chadi; Okereke, Ruth Onyekachi; Sobajo, Moses Sodiq; Afolabi, Olasunkanmi John; Joel, Ogundigba Omotunde; Nnadiekwe, Oluchi Anthonia; Queenet, Madumere Chiamaka; Abdulyekeen, Rilwan; Emoshoriemhe, Akpaibor Favour; Oyefemi, Oyero Muqadas; Godwin, Agbonze Nosa; Ebuka, Eguzoroh Emmanuel
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 3 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i3.3827

Abstract

This research seeks to transform waste management in low-income communities like Nigeria by introducing intelligent recycling facilities equipped with IoT sensors and data analytics. These innovative facilities will optimize recycling processes, monitor material flows, and provide valuable insights on waste reduction and environmental impact. The goal is to address the pressing issue of waste production, which has become a significant concern in developing nations due to rising food consumption and population growth. In Nigeria, inadequate waste collection and disposal methods have led to environmental pollution and health crises. The common practice of dumping garbage on roads has resulted in unsightly piles of refuse, hindering the nation's beauty. To combat this, we propose the adoption of sustainable smart bins with efficient IoT applications. These smart bins will provide a futuristic solution for waste management, enabling remote monitoring and optimization of waste levels. The benefits of this IoT-based system include (1) Remote access for efficient level control (2) Improved time and energy efficiency (3) Reduced congestion in waste bins. By developing a low-cost, intelligent waste bin system with IoT technology, we can create a green and clean atmosphere within cities. This innovative approach will inform policy and practice, advancing environmental justice and sustainable development in marginalized areas.
Analysis of Pavement Failure (Flexible Foundation): A Case Study of Bauchi-Kaduna Abdulmajid, Ibrahim; Yau, Engr. Yusuf; Enabulele, Ewemade Cornelius
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 5 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i5.3802

Abstract

This research investigates the causes of pavement failures shortly after a rehabilitation activity along Bauchi-Kaduna Road (Magama-Gumau-RahamaRoad.). One of the principal objectives of this research effort was to identify sources of Moisture and other conditions that led to the early rutting problems observed. Improper tack coat or failure, permeable dense-graded layers, inadequate drainage, and possibly insufficient Compaction of dense-graded material were the likely root causes of the observed moisture damage and consequential rutting problems. The other principal objective was to evaluate design, construction, and materials requirements -that will minimize the risk of such failures for future rehabilitation projects so that guidelines could be developed for this process.
Co-Authors Abdulmajid, Ibrahim Abdulyekeen, Rilwan Afolabi, Olasunkanmi John Akintayo, Taiwo Abdulahi Daramola, Merinuibi Sunday Ebuka, Eguzoroh Emmanuel Ekunseitan, Kehinde Deji Emoshoriemhe, Akpaibor Favour Godwin, Agbonze Nosa Jamiu, Ridwan Olamilekan Joel, Ogundigba Omotunde Nnadiekwe, Oluchi Anthonia Nnana, Ogba Samuel Nzeanorue, Chibuike Godswill Nzeanorue, Christian Chukwuemeka Okereke, Ruth Onyekachi Olusola, Raphael Aduramimo Oyefemi, Oyero Muqadas Paul, Chadi Queenet, Madumere Chiamaka Sobajo, Moses Sodiq Stephen, Victor Ikechukwu Victoria, Shittu Sarah Yau, Engr. Yusuf