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Articles 1 - 8 of 8
Full-Text Articles in Other Electrical and Computer Engineering
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Machine Learning For Predictive Energy And Emissions Modeling Of Vehicles And Power Grids In The United States, S M Tanvir Faysal Alam Chowdhoury
Dissertations
The environmental benefits of electric vehicle (EV) adoption depend on more than replacing internal combustion engine vehicles with electric powertrains. EV adoption reshapes electricity demand, interacts with regional generation mixes, and influences travel behavior and congestion, creating a coupled transportation-energy system in which vehicle and power-plant emissions must be evaluated together. This dissertation develops machine-learning frameworks for predicting energy consumption and emissions from vehicles and power grids under rising EV adoption. The first component forecasts grid emissions from EV charging. Using simulation data from NREL's Cambium database, a Prophet-based time-series framework predicts carbon dioxide, nitrous oxide, and methane emission rates …
A Performance-Weighted Environmental Assessment Of Ultra-High-Volume Fly Ash Substitution In Portland Cement Concrete, Youngguk Seo, M.A. Karim, Teddy Tzvetkov, Joshua Hardy
A Performance-Weighted Environmental Assessment Of Ultra-High-Volume Fly Ash Substitution In Portland Cement Concrete, Youngguk Seo, M.A. Karim, Teddy Tzvetkov, Joshua Hardy
Faculty Articles
Fly ash substitution for cement in Portland cement concrete (PCC) has been regarded as a sustainable solution, but its widespread application remains constrained by concerns over mechanical performance and durability of PCC, especially at higher replacement rates. This study evaluates PCC mixes incorporating fly ash Type C (FA-C) or Type F (FA-F) across cement replacement rates from 10% to 90%, tracking fresh-state workability, compressive strength, and surface electrical resistivity at 7, 14, and 28 curing days. A process-based life cycle assessment (LCA) with the TRACI 2.1 method quantified global warming potential (GWP, kg CO2/m3) under a …
A Study Of Iot-Optimized Low Power Asset Tracking With Cloud-Enabled Lorawan, Fatima Salman
A Study Of Iot-Optimized Low Power Asset Tracking With Cloud-Enabled Lorawan, Fatima Salman
Symposium of Student Scholars
The world of technology is expanding very quickly today, including technologies like cloud-based asset monitoring, but this makes it difficult to keep up with this technology's development and many other things. It is possible to monitor and manage your assets remotely with a cloud-based system thanks to its many features. The lifecycle of any commodity, including inventory, machinery, vehicles, and real estate, can be tracked using this kind of cloud-based system. Wide-area networks can be used to send data with the aid of low-power wide-area network (LPWAN) technologies like LoRa, SigFox, and NB-IoT. This project will examine traditional, cloud-based, LPWAN-based …
A Low-Cost, Low-Power, Scada Testbed Solution For Secure Remote Monitoring, Connor Berger
A Low-Cost, Low-Power, Scada Testbed Solution For Secure Remote Monitoring, Connor Berger
Symposium of Student Scholars
Similar to software application systems adopted by companies and businesses for product logging, payroll, human resources, Supervisory Control and Data Acquisition (SCADA) systems control the distributed processes with multiple components located on different machines that communicate and coordinate actions in order to appear as a single coherent system. SCADA systems severely lack the appropriate security and hack prevention measures. We propose a low cost, low power SCADA testbed solution for secure remote monitoring. The goal of this research is to implement and test the testbed’s security by emulating attack vectors on both hardware components and communication channels to probe the …
Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw
Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw
African Conference on Information Systems and Technology
The industry 4.0 will bring reflective changes to our society, including an important digital shift in the manufacturing sector. At present, several manufacturing firms are trying to adopt the practices of industry 4.0 throughout their supply chain. The Fourth Industrial Revolution and the artificial intelligence at its core are fundamentally changing the way we live, work and interact as citizens. The complexity of this transformation may look overwhelming and to many threatening. Recently, the dramatic growth of new generation information technologies has prompted several countries to seek new strategies for industrial revolution. The globalization and the competitiveness are forcing companies …
Implementation Of Range Autofocus For Sar Radar Imaging, Nicholas J. Testin, Philip Davis
Implementation Of Range Autofocus For Sar Radar Imaging, Nicholas J. Testin, Philip Davis
KSU Journey Honors College Capstones and Theses
The range calculation for an FMCW radar depends on accurate linear modulation. In some circumstances, linear modulation may not be available and must be corrected for. This paper describes an autofocus technique used to correct for phase error due to non-linearities in the components of a FMCW radar. Also described here is the algorithm used in calculating the phase error and application of the phase correction with triangle modulation. Known errors were calculated at certain distances and applied to correcting the phase of data taken at similar distances. The results given were generated using a SAR working outside linear ranges.
Data Logging System For A Synthetic Aperture Radar Unit, Nicholas J. Testin, Philip Davis, Ian Dorell, Alexander Gillespie
Data Logging System For A Synthetic Aperture Radar Unit, Nicholas J. Testin, Philip Davis, Ian Dorell, Alexander Gillespie
KSU Journey Honors College Capstones and Theses
A small, existing radar unit lacked the ability to automatically store the data it was receiving, which made its use clunky and cumbersome. A system was constructed to allow an on-board microprocessor to track distance traveled, and automatically store the data output from the radar unit to a portable memory unit for later data processing. Distance traveled is determined using a specially designed mobile cart, which electronically converts the rotation of a wheel into an electrical signal while also providing stability for taking accurate radar measurements. The output data from the radar unit is stored as a properly-formatted sound file …
Towards The Deployment And Adoption Of Location-Based Services For Optimal Mobile Communication Operations In Africa, Folasade Dahunsi
Towards The Deployment And Adoption Of Location-Based Services For Optimal Mobile Communication Operations In Africa, Folasade Dahunsi
The African Journal of Information Systems
Africa is the world’s second largest and second most populous continent with about one billion people. Mobile phones are a major source of communication and means of taking information and technology to rural and remote areas of the continent. With low-cost and readily available mobile phones, underprivileged, low-income earners and rural dwellers can also participate in the Information and Communication Technology (ICT) revolution. Services are introduced by mobile operators and vendors to enhance and optimize this mobile evolution. One of such service is location-based services (LBS); LBS make available personalized services based on the geographical location of the subscriber’s phone. …