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  Partner: UNT College of Engineering
 Department: Biological Sciences
 Collection: UNT Scholarly Works
Bringing real world applications for wireless sensor networks into the classroom: Telemetric monitoring of water quality in an artificial stream [2012]

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

Date: 2012
Creator: Bunn, Zac; Guerrero, Jose; Wolf, Lori; Fu, Shengli; Hoeinghaus, David; Driver, Luke et al.
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.
Contributing Partner: UNT College of Engineering
Bringing real world applications for wireless sensor networks into the classroom: Telemetric monitoring of water quality in an artificial stream [2012]

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

Date: 2012
Creator: Bunn, Zac; Guerrero, Jose; Wolf, Lori; Fu, Shengli; Hoeinghaus, David; Driver, Luke et al.
Description: This poster discusses research on bringing real world applications for wireless sensor networks into the classroom and covers the use of a wireless sensor network (WSN) using the ZigBee protocol to remotely monitor an artificial aquatic ecosystem.
Contributing Partner: UNT College of Engineering
Comparison of Machine Learning Algorithms for Identifying Cancer Types

Comparison of Machine Learning Algorithms for Identifying Cancer Types

Date: March 2014
Creator: Saxena, Garima; Helsing, Joseph; Reyes, Omar Costilla & Azad, Rajeev K.
Description: Poster for the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Annual Conference. This poster discusses a comparison of machine learning algorithms for identifying cancer types.
Contributing Partner: UNT College of Engineering
Demand Controlled Ventilation using CO₂ Sensors in a Wireless Sensor Network

Demand Controlled Ventilation using CO₂ Sensors in a Wireless Sensor Network

Date: 2013
Creator: Parsons, David; Jordan, Georgette; Li, Xinrong; Thompson, Ruthanne & Abraham, Sherin
Description: This report discusses research on demand controlled ventilation using CO₂ sensors in a wireless sensor network. The focus of this research project was to investigate Indoor Air Quality (IAQ) monitoring technologies, government regulations and policies, and best practices to improve IAQ. This research is part of Research Experiences for Teachers (RET) in Sensor Education, a National Science Foundation (NSF) funded grant project.
Contributing Partner: UNT College of Engineering