ASRIC Journal of Engineering Sciences 2023 v3-i2
ISSN: 2795-3548
EISSN: 2795-3548
ASRIC Journal of Engineering Sciences 2023 v3-i2
ASRIC Journal of Engineering Sciences 2023 v3-i2
Published: 2023-12-29
Articles
Development of Yoruba Aroko Communication System Application
Adewuyı Adetayo Adegbite*, Odetunjı Ajadı Odejobi2
This article explores the concept of Arok`o, an indigenous system of shared meaning for communication in the Yoru`ba´ tradition. The research problem is based on the need to understand the structure and effectiveness of Arok`o as a communication method. The aim of the research is to investigate the various elements and their interaction in Arok`o communication. The methodology involves studying th
Study of the Sizing of the Small Hydroelectric Power Station of the Gueeni Site on the Kokoulo River in Pita (Republic of Guinea)
Ansoumane Sakouvogui*, Thierno Algassimou Balde, Jean Ouèrè Toupouvogui, Mamby Keita
In the Republic of Guinea, the supply of electrical energy is still a major issue throughout the country, especially in rural areas. However, the hydroelectric energy potential of Guinea is enormous, 6000 MW, with a very dense hydrographic network (1165 rivers), which originates mainly in Fouta-Djalon. To date, only 5% of this potential has been developed and only benefits nearly 10% of the Guinea
Elaeis Guineensis Jacq SHELL with Mollusca Gastropoda Shell as Coarse Material for Concrete: An Eco-Friendly Reuse
Okure Unyime Enobong*, Nnadikwe Johnson, Mafakheri Shahin, Schlicht, Ramona
In this study, we investigate the performance of Elaeis Guineensis Jacq Shell (EGS), commonly known as palm kernel shells, and Mollusca Gastropoda Shell (MGS), referring to snail shells, as coarse aggregates in concrete. A total of forty cubes and forty cylinders were fabricated using these shells as substitutes for granite materials. The replacement of granite was carried out in 20% increments, r
Assessing Pump Reliability: a Case Study of Port Harcourt Refinery
Chiagorom V.C.*, Osuchukwu L.C.
The goal of the maintenance optimization process is to select the appropriate maintenance technique for each piece of equipment within a system and identifying the periodicity that the maintenance technique should be conducted to achieve regulatory requirements, maintenance targets concerning safety, equipment reliability, system availability and costs. This paper presents a predictive maintenance
Issues
