Dr. Howard Hung-Chi Chung Profile

Dr. Howard Hung-Chi Chung

Project Engineer at Acellent Technologies Inc

SPIE Involvement:

Author

Proceedings Article | 11 April 2013 Paper

LiDAR scan and smart piezo layer combined damage detection

Shenen Chen, Howard Chung, Youngjin Park

Proceedings Volume 8694, 869423 (2013) https://doi.org/10.1117/12.2011764

KEYWORDS: LIDAR, Ferroelectric materials, Sensors, Damage detection, Forensic science, Aluminum, Ranging, Remote sensing, Diagnostics, Signal detection

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Proceedings Article | 8 April 2009 Paper

Smart patch for monitoring the integrity of steel frame joints

H. Chung, S. Beard, C. Zhang, C. Aquino, J. Mapar

Proceedings Volume 7294, 72941B (2009) https://doi.org/10.1117/12.816652

KEYWORDS: Sensors, Buildings, Structural health monitoring, Earthquakes, Actuators, Sensor networks, Interfaces, Inspection, Bridges, Software development

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Proceedings Article | 8 April 2008 Paper

Passive sensing and imaging for GIS-PMS: system concept and challenges

D. Boyajian, H. Chung, S. Chen

Proceedings Volume 6934, 69340X (2008) https://doi.org/10.1117/12.776268

KEYWORDS: Sensors, Passive remote sensing, Imaging systems, Geographic information systems, Nondestructive evaluation, Wave propagation, Signal detection, Damage detection, Wave plates, Data fusion

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Proceedings Article | 30 March 2006 Paper

Centralized web-based loss estimation tool: INLET for disaster response

C. Huyck, H.-C. Chung, S. Cho, M. Mio, S. Ghosh, R. Eguchi, S. Mehrotra

Proceedings Volume 6178, 61780B (2006) https://doi.org/10.1117/12.658870

KEYWORDS: Earthquakes, Databases, Information technology, Geographic information systems, Internet, Systems modeling, Data modeling, Bridges, Computer architecture, Computer science

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Proceedings Article | 16 March 2006 Paper

Remote sensing for building inventory updates in disaster management

P. Sarabandi, H.-C. Chung, B. Adams

Proceedings Volume 6178, 61780C (2006) https://doi.org/10.1117/12.661020

KEYWORDS: Remote sensing, 3D modeling, Satellites, Satellite imaging, Earth observing sensors, Associative arrays, Data modeling, Data analysis, Feature extraction, Data integration

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Proceedings Article | 9 May 2005 Paper

DuraNode: wireless-networked sensing system for structural safety monitoring

H. Chung, C. Park, Q. Xie, P. Chou, M. Shinozuka

Proceedings Volume 5769, (2005) https://doi.org/10.1117/12.601534

KEYWORDS: Sensors, Bridges, Microcontrollers, Wind energy, Data acquisition, Sensing systems, Safety, Data processing, Solar energy, Interfaces

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Proceedings Article | 21 July 2004 Paper

Real-time visualization of bridge structural response through wireless MEMS sensors

Hung-Chi Chung, Tomoyuki Enomoto, Kenneth Loh, Masanobu Shinozuka

Proceedings Volume 5392, (2004) https://doi.org/10.1117/12.539263

KEYWORDS: Sensors, Bridges, Microelectromechanical systems, Silicon, Data acquisition, Magnesium, Wireless communications, Visualization, Computer simulations, Molecular bridges

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Proceedings Article | 14 July 2004 Paper

GIS-based automated management of highway surface crack inspection system

Hung-Chi Chung, Masanobu Shinozuka, Tony Soeller, Roberto Girardello

Proceedings Volume 5395, (2004) https://doi.org/10.1117/12.539229

KEYWORDS: Inspection, Roads, Image processing, Geographic information systems, Video, Visualization, Phase modulation, Video processing, Data processing, Computing systems

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Proceedings Article | 18 August 2003 Paper

Automated management for pavement inspection system (AMPIS)

Hung Chi Chung, Roberto Girardello, Tony Soeller, Masanobu Shinozuka

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.508493

KEYWORDS: Inspection, Image processing, Geographic information systems, Roads, Video, Phase modulation, Video processing, Visualization, Data acquisition, Computing systems

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Proceedings Article | 30 July 2001 Paper

System identification by video image processing

Masanobu Shinozuka, Hung-Chi Chung, Makoto Ichitsubo, Jianwen Liang

Proceedings Volume 4330, (2001) https://doi.org/10.1117/12.434109

KEYWORDS: Image processing, Digital image processing, System identification, Video, Cameras, Digital imaging, Earthquakes, Imaging systems, Complex systems, Video processing

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Proceedings Article | 27 April 2000 Paper

Digital image processing for system identification

Masanobu Shinozuka, Hung-Chi Chung, Jianwen Liang

Proceedings Volume 3989, (2000) https://doi.org/10.1117/12.384558

KEYWORDS: Digital image processing, Image processing, CCD cameras, System identification, Imaging systems, Complex systems, Algorithm development, Image storage, Computing systems, Digital imaging

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Emerging digital image processing techniques are utilized to demonstrate their potential applications in earthquake engineering, particularly in the area of system identification. In this respect, the objectives of this research are to demonstrate the underlying principle that permits nonlinear system identification, non-intrusively and remotely, with the aid of CCD camera and, for the purpose of the proof-of-concept, to apply the principle to an identification problem involving friction forces, a simple but not necessarily easy problem to solve, on the basis of the image captured by a CCD camera. On the one hand, intricate micromechanic interpretation of friction phenomena is prevalent and necessary in the area of Tribology and similarly detailed analysis of friction is performed as the extension of contact problem in continuum mechanics. On the other hand, the practice in the structural dynamics dealing with the friction issue is such that the Coulomb friction model is widley used for its mathematical expedience and ease of application. In this study, the method of digital image processing is applied to the identification of friction behavior between two solids with the aid of the Coulomb friction model. For this purpose, a pendulum is used which has a metal weight hung by a metal wire from a fixed point on a slant solid board and sliding on the board. The algorithm developed for this problem can be extended to identify, simultaneously and in near real-time, the friction coefficient and the relative motion between the model structure and the base in a shaking table test of a structure base-isolated by a sliding system. The proof-of- concept experiment was successfully carried out to show that the proposed identification method based on digital image processing can be used with appropriate modifications to identify many other engineering-wise significant quantities remotely. For example, the system in principle can be used to identify the friction coefficient of friction base-isolators of model or actual buildings during strong earthquakes.

Showing 5 of 11 publications

Conference Committee Involvement (2)

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security IV

8 March 2010 | San Diego, California, United States

Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security III

9 March 2009 | San Diego, California, United States

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