ASRIC Journal on Engineering Sciences 2023 v4-i1
ISSN: 2795-3548
EISSN: 2795-3556
ASRIC Journal on Engineering Sciences 2023 v4-i1
Published: 2023-12-29
Articles
Experimental Investigation of Mechanical Properties and Durability of Sustainable Concrete Using Glass Waste
Hamada Abd el-Rahman, Ahmed Eldesouky & Mohamed El-Didamouny
This research aims to study some of the properties of concrete containing with glass wastes in the fresh state and the hardened state. Concrete mixtures containing glass waste powder (GP) with size less than 0.075 mm as an addition to the cement weight by 10%, 20% and 30%, glass waste fine aggregate (GF) passed through a 1.18 mm Sieve as a partial replacement of sand with the same ratios and also
Real-Time detection Using Deep Learning Techniques for autonomous Vehicle
Ghita Ikmel*, EL Amrani EL Idrissi Najiba
Autonomous driving heavily relies on object detection as a primary task. Ensuring both high accuracy and real-time detection is crucial for the object detection algorithm of autonomous vehicles. Consequently, the research in this area has garnered significant interest, becoming a prominent and trending topic in recent years. This study aims to find an algorithm that strikes a balance between speed
The Impact of Technological Development and Innovation on the Development of Human Resources for the Sustainability of Egyptian Economic Institutions in Light of Digital Transformation
Mohamed Syam, Wael Fouda & Hoda El-Azony
Development and innovation are the main pillars of development and development of investment programs that provide the opportunity for countries to follow a new vision to support their economy as a productive element that gives the country the ability to enter the competitive market. Concerning with human element considers one of the most important axes discussed and debated recently either in Ara
LNG Terminal Reserve Planning Optimum Performance for Integrated Gas and Power Generation System
Nwosi Hezekiah Andrew*, Samuel H. Kwelle, Nnadikwe Johnson
In this article, a scheduling model for optimizing the integrated system of LNG Reserve is developed. This model considers the impact of LNG supply risks on the operation of the integrated gas power generation system in a multi-Gas provider supply setting. The optimization goals of this model are focused on minimizing the annual cost of the integrated system. It achieves this by taking into accoun
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