Prof. Hae-Bum A. Yun Profile

Prof. Hae-Bum A. Yun

Associate Professor at Univ of Central Florida

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Publications (4)

Proceedings Article | 19 April 2013 Paper

A novel model-free data processing technique for ad hoc analysis in monitoring for heterogeneous infrastructure networks

Ganesh Sundaresan, Hae-Bum Yun, Jong-Woo Kim, Ki Tae Park

Proceedings Volume 8692, 86922W (2013) https://doi.org/10.1117/12.2010229

KEYWORDS: Sensors, Amplifiers, Safety, Modulation, Signal detection, Data processing, Roads, Data storage, Detection and tracking algorithms, Environmental sensing

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Proceedings Article | 8 April 2013 Paper

Geodermis: biomimicry of distributed sensing for earth-based buildings

Hae-Bum Yun, Ganesh Sundaresan, Lakshmi Reddi

Proceedings Volume 8686, 86860G (2013) https://doi.org/10.1117/12.2010238

KEYWORDS: Skin, Buildings, Biomimetics, Sensors, Amplifiers, Biosensing, Environmental sensing, Blood circulation, Body temperature, Action potentials

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The issue of sustainable development in building engineering has been discussed since the early 90’s. The current research seeks to aid in this endeavor by reducing the heating and cooling loads on a building through its envelope, more specifically the wall material. The problem as viewed by most researchers is that the most common building materials, such as concrete and steel, allow for easy heat and mass transfer into buildings. Researchers now look to earth-based materials as passive building materials for increased thermal regulation. The building envelope of earth-based materials is an important buffer for heat and mass transfer into the building environment, but is a part of a bigger picture, which includes hygrothermal loads from the occupants and other facets of the indoor environment, as well as the mechanisms that regulate the indoor environment. This research looks at the soil-based building materials in different light. Our premise is that an understanding of the analogies between thermoregulatory systems in skin, plant, and soils, would inspire us to use soils as intelligent materials in stabilized earth construction with their pore geometries engineered based on these analogies. This biomimetic approach of developing “geodermis” can be broken into two smaller problems: (1) “sensory/nervous systems” to collect and process surrounding hygrothermal data, and (2) “motor system” for semi-active hygrothermal control with the combination of passive regulation by soil and active regulation based on the information from the sensory/nervous system. The Auto Modulating Pattern Detection Algorithm (AMP) is a novel bio-inspired model-free data processing technique that extends the Hilbert-Huang Transform method to detect a “small” but important intermittent event of interest that is usually masked by “dominant” environmental disturbances in various monitoring applications. With AMP, higher detectability can be achieved by: (1) amplifying the amplitude of the pattern-changing event’s frequency characteristics in the time-frequency domain, (2) reducing the baseline frequency fluctuation in the time-frequency domain, and (3) increasing the temporal resolution of the energy-time-frequency domain signal.

Proceedings Article | 10 April 2007 Paper

Some data-driven modeling approaches for detecting changes in nonlinear dampers

Hae-Bum Yun, Sami Masri, Farzad Tasbihgoo, Raymond Wolfe

Proceedings Volume 6529, 65291R (2007) https://doi.org/10.1117/12.715860

KEYWORDS: Complex systems, Systems modeling, Artificial neural networks, Magnetism, Data modeling, System identification, Structural health monitoring, Solids, Silicon, Particles

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Proceedings Article | 28 June 2002 Paper

Developments in chlorine detection in concrete using NMR

Andrew Yun, Mark Patton, James Garrett, Gary Fedder, Kevin Frederick, Jung-Jiin Hsu, Irving Lowe, Irving Oppenheim, Paul Sides

Proceedings Volume 4696, (2002) https://doi.org/10.1117/12.472568

KEYWORDS: Signal to noise ratio, Chlorine, Magnetism, Cements, Sensors, Corrosion, Signal detection, Magnetic sensors, Ions, Sodium

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