Engineering Commons^™

Sunsat Design Competition 2013-2014 Second Place Winner – Team Solar Maximum Llc: Sun-Synchronous Orbits, Danny R. Jones, Anna Nesterova

Online Journal of Space Communication

The orbital location of PowerSats plays a critical role in determining the mass of the solar power satellite (PowerSat) transmitter and the size of the rectenna on the Earth’s surface. These in turn play an important role in the cost of deploying the PowerSat, especially the cost of launching the PowerSat into orbit as the transmitter makes up a large part of the PowerSats mass. We will consider a new approach to PowerSat orbital positioning by considering a circular sun-synchronous orbit at 5,185.3 kilometers with an inclination of 142.1 degrees. Locating the PowerSat at this location offers several benefits and …

Sunsat Design Competition 2013-2014 First Place Winner – Team Rajiv Gandhi University: Helioastra, Akhil Raj Kumar Kalapala, Krishna Bhavana Sivaraju

Online Journal of Space Communication

HelioAstra is a creative design and visualization of an advanced Space Solar Power system. Its concept is validated by a credible science and engineering approach and an innovative business plan.

The space and ground receiving segments are made up of high efficiency Fresnel lens concentrator quantum dot solar cells. The solar array in space is sized at 933 m2. It delivers 1 MW (1000 kW) of perennial, clean and eco-friendly solar electric power at the bus-bars on the ground.

A solid state laser system containing Neodymium doped Yttrium Aluminium garnet (Nd: Y3Al5O12) will accurately and efficiently transmit power. A ground …

Investigation Of Sand-Biochar Mixtures As A Potential Roadway Fill Material, Katia J. Lele Lagmago

LSU Master's Theses

Biochar is a sustainable and lightweight carbon-rich material with a high surface area and porosity. Previous studies reported that biochar can reduce soil erosion and cracking, retain contaminants, and enhance soil aggregation. Given these favorable properties, soil-biochar mixtures have the possibility to serve as a multifunctional lightweight fill material for roadway embankment applications. The purpose of this research is to develop sand-biochar mixtures as a sustainable and multifunctional lightweight fill material for roadway embankment applications.

This research investigated the consolidation and hydraulic properties of sand-biochar mixtures by (1) performing 1D consolidation tests, (2) performing permeability tests, and (3) assessing the …

Inventory Control Using Fuzzy Inference System And Adaptive Neuro Fuzzy Inference System Under Uncertain Conditions, Ali Abdulmajeed Ali, Arzaq Mohammed Ali Kulaib

Hadhramout University Journal of Natural & Applied Sciences

Supply chain management plays a significant role for running business efficiently, as it integrates management of materials and information flows between supply chain parties Fuzzy Inference System (FIS) and Adaptive Neuro Fuzzy inference system (ANFIS) are expert systems widely used to deal with imprecise and vague data. In this paper FIS and ANFIS are implemented to deal with the uncertainty regarding demand, lead time and inventory level in continuous inventory control system in order to obtain the optimal order quantity and reorder point. These two models are compared with Economic Order Quantity (EOQ) model at the different service level to …

A Modified Model For Prediction Of Gas Viscosities Of Yemeni Gas Fields, Khaled Saeed Ba-Jaalah, Abbas Mohamed Al-Khudaf, Amer Badr Binmerdhah

Hadhramout University Journal of Natural & Applied Sciences

Gas viscosity is an important physical property that controls and influences the flow of gas through porous media and pipe networks. An accurate gas viscosity model is essential for use with reservoir and process simulators. The present study is concerned with the evaluation of available gas viscosity correlations. The paper also presents new models for predicting gas viscosity for Yemeni gas reservoirs. The most often used different correlations for gas viscosity were assisted for Yemeni gas samples. The limitations of these correlations have been analyzed using Yemeni field data. Calculations are made using 120 experimental data points from Yemeni gas …

Rces: Rapid Cues Exploratory Search Using Taxonomies For Covid-19, Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi

Articles

To assist the COVID-19 focused researchers in life science and healthcare in understanding the pandemic, we present an exploratory information retrieval system called RCES. The system employs a previously developed EVE (Explainable Vector-based Embedding) model using DBpedia and an adopted model using MeSH taxonomies to exploit concept relations related to COVID-19. Various expansion methods are also developed, along with explanations and facets that collectively form rapid cues for a valuable navigational and informed user experience.

Predicting Student Success In An Electrical Engineering Program, Edward Carl Greco Jr., Matthew Garett Young

Faculty Publications - Electrical Engineering

Successful completion of course of study leading to graduation in electrical engineering was found to be linked to a couple of key gateway courses. Students that performed below a threshold in these early courses had a lower probability of graduating and could then be identified for additional assistance. Based on these results, changes were implemented in the curriculum to enhance student success in these preliminary courses to facilitate retention.

Illuminator, Volume 4, Issue 1, Batten College Of Engineering & Technology, Old Dominion University

College of Engineering & Technology Newsletter

Fall 2021 issue of Illuminator, a monthly publication of ODU's Batten College of Engineering and Technology.

Double Averaging Analysis Applied To A Large Eddy Simulation Of Coupled Turbulent Overlying And Porewater Flow, Yan Ping Lian, Jonathan Dallman, Benjamin Sonin, Kevin R. Roche, Aaron I. Packman, Wing Kam Liu, Gregory J. Wagner

Civil Engineering Faculty Publications and Presentations

Freestream turbulence in rivers is a key contributor to the flux of dissolved nutrients, carbon, and other ecologically important solutes into porewater. To advance understanding of turbulent hyporheic exchange and porewater transport, we investigate flow over and through a rough bed of spheres using large eddy simulation (LES). We apply double averaging (combined space and time averaging) to the LES results to determine the mean velocity distribution, momentum balance, and drag forces. Our simulations show large-scale freestream structures interacting strongly with vortices generated at the surfaces of individual spheres to control turbulent momentum fluxes into the bed. The transition between …

Ulmus Rubra, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Abies Nordmanniana, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Acer Ginnala, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Aesculus Chinensis, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Aesculus Hippocastanum, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Buxus Sempervirens, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Carpinus Betulus, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Carpinus Caroliniana, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Carya Glabra, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Castanea Dentata, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cercidiphyllum Japonicum, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cercis Canadensis, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Chamaecyparis Pisifera, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Chionanthus Virginicus, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cinnamomum Camphora, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cinnamomum Japonicum, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cladrastis Lutea, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cotoneaster Horizontalis, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Crataegus Laevigata, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Crataegus Phaenopyrum, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.

Cydonia Oblonga, Viraj Kishorkumar Gajjar, Anand Nambisan, Kurt Louis Kosbar

Plant Identification in a Combined-Imbalanced Leaf Dataset -- Images

No abstract provided.