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Convolutional Neural Networks for Pavement Roughness Assessment Using Calibration-Free Vehicle Dynamics
This technology is a method of identifying road roughness (i.e., International roughness index, IRI) by collecting sensor data from a smartphone app or other computing device and applying deep learning techniques to estimate the road’s roughness index.
Background:
Monitoring of road surface conditions is a logistical challenge. Traditionally,...
Published: 8/1/2024
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Inventor(s): Jong-Hyun Jeong, Hongki Jo, Gregory Ditzler
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Communications & Networking, Technology Classifications > Engineering & Physical Sciences > Electronics > Computer Hardware
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Dynamic Capacitance Sensor Board Development
This technology is a new sensor board that converts dynamic capacitance in a sensor into an analog voltage signal. The signal created by this sensor board can then be used with any off-the-shelf wired or wireless data acquisition system.
Background:
Sensors are increasingly used for structural monitoring. For example, networks of hundreds of strain-measuring...
Published: 8/1/2024
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Inventor(s): Hongki Jo, Jong-Hyun Jeong
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Electronics, Technology Classifications > Engineering & Physical Sciences > Industrial & Manufacturing > Construction
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Using Electroluminance Technologies To Visually Indicate Building Structure Integrity
This technology addresses the issue of non-trained individuals to be able to monitor the integrity of a building. This is done by connecting a sensor to a circuit board that relays the information to an electroluminescent display module.
Background:
Electroluminescence is the process of applying voltage to a material until it illuminates with color....
Published: 8/1/2024
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Inventor(s): Hongki Jo, Jian Xu
Keywords(s):
Category(s): Technology Classifications > Engineering & Physical Sciences > Electronics > Testing & Measurement, Technology Classifications > Engineering & Physical Sciences > Industrial & Manufacturing > Construction
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