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
Nigeria Conceptual Model on Power Generation Using Poultry Waste
Nnadikwe Johnson*, Samuel H. Kwelle, Esther Odiki*, Wopara Onuoha Fidelis, Akuchie Justin Chukwuma
Nigerian biogas is a viable renewable energy source since it can be made from animal manure. Growing poultry enterprises have the ability to use chicken wastes to produce power from biogas. In order to demonstrate the possibilities of power generation efficiently, comparison research has been undertaken by analyzing a variety of characteristics (such as the number of businesses, birds, total quant
Auto-Regression Auctions
Khaled Nagaty
This paper proposes two auto-regression auction formats namely, simple autoregression and multiple autoregression auctions. Both auto-regression auctions use the valuable information available in both past auctions and current auction to predict the start price, recommended price and reserve price of the current auction’s object which allow auctioneers to maximize the current auction’s revenue. In
Study of the Electronic Properties of (Cellulose Acetate/x-MoO3)
Dina Ezzat
Chromism-based optical filters is an interested field of research, due to their application as electrochromic materials. Typically, electrochromic transition metal oxides such as MoO3 and are utilized in applications such as smart windows and electrochromic devices (ECD). Molecular modeling based on density functional theory (DFT) at B3LYP/ LanL2DZ was utilized to study the effect of addition of
Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing
Jean Claude Sugira*, Jean Pierre Nsengimana, Marc Nshimiyimana
This paper investigates the capacity of weaving bottlenecks in Nanjing, where multiple traffic streams merge or diverge closely, causing significant traffic disruptions. Utilizing trajectory data from 862 vehicles collected through UAV cameras, the study assesses the bottleneck's capacity and performance measures, including traffic flow, speed, and lane occupancy. The analysis employs a combinatio
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