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open access

Applications of Logic Flowcharting With a Focus in Autonomous Robotic Operations

Description: This report discusses research on applications of logic flowcharting with a focus in autonomous robotic operations. This research project is part of Research Experiences for Teachers (RET) in Sensor Networks, a National Science Foundation (NSF) funded grant project.
Date: 2012
Creator: Sink, Ashley Elizabeth; Gscheidle, Karl H.; Namuduri, Kamesh; Li, Li & Sterling, Phillip
Partner: UNT College of Engineering
open access

Reducing Our Carbon Footprint through Ridesharing

Description: This report discusses research on reducing our carbon footprint through ridesharing. The focus of this research project was to analyze and collect travel trajectories to calculate carbon footprints under different travel modes and identify ways to reduce it.
Date: 2012
Creator: Garrett, Kim; Bell, Jesse; Huang, Yan & Powell, James
Partner: UNT College of Engineering
open access

Bringing real world applications for wireless sensor networks into the classroom: Telemetric monitoring of water quality in an artificial stream [2012]

Description: This report discusses research on aquatic sensors and telemetric monitoring of water quality in an artificial stream with the use of a wireless sensor networks (WSN) using the ZigBee protocol to remotely monitor an artificial aquatic ecosystem. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Date: 2012
Creator: Bunn, Zac; Guerrero, Jose; Wolf, Lori; Fu, Shengli; Hoeinghaus, David; Driver, Luke et al.
Partner: UNT College of Engineering
open access

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

Description: This article focuses on practical computing systems with heterogeneous computing resources, and designs a novel CDC approach, called batch-processing based coded computing (BPCC), which exploits the fact that every computing node can obtain some coded results before it completes the whole task. The scheme demonstrates promising performance in terms of high computational efficiency and robustness to uncertain disturbances.
Date: July 7, 2021
Creator: Wang, Baoqian; Xie, Junfei; Lu, Kejie; Wan, Yan & Fu, Shengli
Partner: UNT College of Engineering
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