Last Updated: 1/21/2004
Curriculum Vita
TAEK MU KWON,
Ph.D.

Office Address: ECE Dept. 271 MWAH, 10 University Dr., Duluth, MN 55812
Phone: Office (218) 726-8211; Fax: (218) 726-7267
Citizenship: U.S.A.
Email: tkwon@d.umn.edu
Home Page URL: http://www.d.umn.edu/~tkwon
EDUCATION
- Ph.D. in Electrical Engineering, June 1988,
Department of Electrical and Computer Engineering, Florida Institute of Technology,
Melbourne, FL
Dissertation:
An Elementary Processor for a Digital Neural Computer.
- M.S. in
Electrical Engineering, June 1985, Department of Electrical and Computer
Engineering, Florida Institute of Technology, Melbourne, FL.
Thesis:
Consonant Recognition Using Linear Predictive Coding.
PROFESSIONAL EXPERIENCE
- September
2002 to present: Professor , Department of Electrical and Computer
Engineering, University of Minnesota, Duluth.
- September 1995 to August 2002: Associate Professor,
Department of Electrical and Computer Engineering, University of
Minnesota, Duluth.
- 1997 to present: Associate Editor of the
International Journal on Intelligent Automation and Soft Computing.
- September 1988 to
August 1995: Assistant Professor , Department of Electrical
and Computer Engineering, University of Minnesota, Duluth.
- March 1984 to
August 1988: Teaching Assistant and Research Associate, Department of
Electrical and Computer Engineering, Florida Institute of Technology.
Consulting
- Minnesota Department of Transportation: Automated
paging, actuation logging, and system integration, 1998-1999.
- Honeywell Inc.: High Resolution Image Reconstruction,
1995-1996.
- Schott Power Corporation: WAN/LAN data/voice/fax integration and installation,
1995-1996
- Hibbing Electronics: Design and Construction of
Testing Equipment for Load Dump, Inductive Load Switching, Alternator
Field Decay, Mutual Coupling, 1996-1997.
- Minnesota Power: Development of High Precision RPM
and Phase meter, 1989-1990.
RECENT RESEARCH PROJECTS
Northland Advanced
Transportation Systems Research Lab (NATSRL)
The geographical location of the
Duluth and Northern Minnesota area presents unique challenges in operating and
maintaining the area-wide transportation systems, which need to provide safe
and efficient travel environment under often inclement weather conditions.
NATSRL was funded to address various research needs for Northland
transportation systems. The research issues include efficient real-time
detection of hazardous road/weather/traffic conditions, advance warning and
guidance to drivers with road/weather/traffic information, winter-road and
snowplow fleet management and decision support system with on-line
weather/pavement information, large-scale even and tourist traffic management,
and on/off-line assessment of area-wide system performance. This project was
funded by US DOT TEA-21, Mn/DOT, and UMD. $3,700,000.
The Minnesota Department of Transportation (Mn/DOT)
has been responsible for collecting, analyzing, and publishing traffic count
data from the various roadway systems throughout the state. The traffic
reporting system mainly developed by the Traffic Forecasting and Analysis
Section (TFAS) of Mn/DOT has been used in several federal programs, internal
Mn/DOT applications, and many private sectors.
The objective of this project is
to develop computerized automation methods for the current manual effort to
import, filter, and analyze the Mn/DOT TMC portion of inductive loop detector
data contributed to the Mn/DOT's Traffic Monitoring System. The main research
effort has been in developing multi-level data screening and analysis methods
based prioritized acceptance tests and Q-K curve analysis. This project was
sponsored by Mn/DOT Guide Star Program. $80,000.
Visibility Measurement System Based-on Imaging
This
research project is focused on developing a practical atmospheric-visibility
monitoring system based on imaging systems. Because visibility reductions due
to inclement weather conditions are one of the main causes of traffic
incidents, and among the primary criteria used to determine road closures in
winter, accurate visibility measurement is an important area of research for
transportation managers. However, accurate and reliable measurement of
atmospheric visibility is difficult because it continuously changes over time
and space and is influenced by a host of atmospheric conditions such as fog, rain,
snow, smog, sun direction, solar radiation, etc. Measurement by human observers
is unreliable due to differences in individual eyesight, perception and other
biological conditions. Other techniques such as light-scatter meters exist, but
do not measure true visibility. A new approach developed in this research is
based on measurement of visibility through an imaging system that comprises a
special video camera, an image digitizer and multiple targets specifically
designed and positioned at specific distances from the camera. The images are
regularly sampled and processed through image processing techniques to
determine at what distance the foreground is no longer distinguishable from the
background by using the contrast information of the field of view extracted
from the image. This distance essentially represents the visibility. For night
visibility measurement, several approaches are under investigation. Those
include embedding light sources in visual and infrared spectrum to the targets
and using different types of spectral filters in camera. This research was
sponsored by US DOT TEA-21 and Mn/DOT.
Next-Generation Road Weather Information System:
Concept and Proto Type Development
Traditional ways of using R/WIS
(Road/Weather Information System) have been to forecast road icing before its
formation for proactive winter-road maintenance. Although ice forecasting has
served a significant value in deicing operations, as states plan implementation
of a statewide R/WIS, they recognize that it is a large, expensive system.
Moreover, due to rapidly changing technologies and associated increasing costs,
implementation of R/WIS has been complex. Planners find that it is important to
start with an architecture that allows easy integration of new and legacy technologies
and gradual expansion to a larger system. This project develops a flexible
R/WIS model that can seamlessly integrate with the existing and legacy systems
and can gradually expand to a larger system. The research also focuses on new
ways of utilizing the massive amount of environmental sensor data collected
from R/WIS. This research was sponsored by Mn/DOT.
Web-Based Pavement Condition Reporting System
Pavement Condition Reporting System (PCRS) is a Mn/DOT’s networked
application system that tracks and reports weather circumstances that may
affect the driving conditions. The
system was designed based on a database server and customized front-end
programs that allow data entry and retrieval.
The main problem of this system was the customized front-end programs
that require modification of codes as the windows operating systems are
upgraded; consequently, the system did not work as Mn/DOT upgraded their
operating system. However, even if the old software was rewritten for new
operating systems with extra budget, modification of the front- end programs
required reinstallation of the codes in every client workstations in order for
the Mn/DOT PCRS to work properly. In order to alleviate the problems associated
with the old PCRS and to further advance the PCRS technology, Mn/DOT decided to
implement a new PCRS based on a World Wide Web (web) technology. In this new approach, any Mn/DOT person
having a standard web browser and a password will have access to the PCRS for
all of its functions. This project was given to Dr. Kwon and his students at
the University of Minnesota Duluth, and they successfully developed a new
system, referred to as a web-PCRS, using the state-of-the-art dynamic web
technologies. The system is driven by a web server and a central relational
database, and includes various forms of pavement-condition data entry,
real-time notification, instant messaging between PCRS operators and
administrators, weather/permit entry, and many administrative functions. This
project was funded by Mn/DOT, and the system developed was deployed statewide.
Research Interests
In the past, my research was
mainly focused on developing algorithms in neural networks, fuzzy systems,
pattern recognition, and image processing. Presently, my research is more focused
on developing transportation applications using my computational and
theoretical backgrounds. The topics include development of visibility
measurement algorithms using image processing, next generation road weather
information systems, large scaled transportation data center, large-scaled
transportation data archival/retrieval systems, distributed server farm design,
detector data screening and quality management, and automated bridge deicing
systems.
PROFESSIONAL AFFILIATIONS AND ACTIVITIES
Associate Editor of the International Journal on Intelligent Automation
and Soft
Computing, Since 1997.
Member of IEEE Computer Society
Member of IEEE Systems, Man, and Cybernetics Society
Member of International Neural Network Society
Member of KSEA (Korean Scientists and Engineers Association in America)
Reviewer of IEEE Transactions on Signal Processing
Reviewer of IEEE Transactions on Image Processing
Reviewer of IEEE Transactions on Neural Networks
Reviewer of IEEE Transactions on Circuits and Systems
Reviewer of
IEEE Transactions on Fuzzy Systems
HONORS
- Received “Research Partnership Award” with a plaque
from the Center for Transportation Studies, University of Minnesota, Twin
Cities, April 24, 2001. Mn/DOT Partners involved in this award: Ed Fleege,
Curt Pepe, and Roberta Dwyer. The plaque reads “To recognize research
projects within the CTS program that result in significant impacts on
transportation, and to reward teams of individuals who draw on the strengths
of their diverse partnerships to achieve those results.”
- Listed in Marquis Who's Who in the Media and
Communication, 1997.
- Listed in Marquis Who's Who in the Midwest, 24th
Edition.
- Received the Distinguished Achievement in Scientific
Research Award from KSEA Florida Chapter, 1984.
PATENTS
“Measurement of Motorist’s
Relative Visibility Index (MRVI) Using Video Images,” US Patent Pending, 2001.
“Video Camera-Based Visibility
Measurement system,” US Patent Pending, Docket: 600.374-US-01, 1999.
“Artificial
Neural network Based Algorithms in Detecting Financial Reporting,” with E.
Feroz, U.S. Patent Pending, 1999.
TEACHING EXPERIENCE
A. Courses regularly taught at University of
Minnesota Duluth
ECE 4801 (ECE 5800):
Introduction to Artificial Neural Networks
ECE 4315 (ECE 3515):
Multiprocessor-Based System Design
ECE 2325 (ECE 3325):
Microcomputer System Design
B. Other courses taught in the
past at UMD
ECE 1315 Digital System Design
ECE 5551 Switching Theory
ECE 3950 Design Workshop
CpE 3040 Digital System Design
CpE 3020 Introduction to Electronics
CpE 3035 Analog Electronic Circuits
CpE 3970 Senior Project I
CpE 3971 Senior Project II
CpE 3960 Independent Study
CpE 5960 Independent Study
C. Courses taught at the Florida
Institute of Technology (1985-1988)
CP 4193 Computer Systems Design
CP 4291 Computer Interfacing Lab
EE 4196 Electronic Circuit Lab
LAB MANUALS WRITTEN
University
of Minnesota, Duluth:
ECE 3950
Computer Construction Manual
CpE 3040
Digital System Design Lab
ECE 3325
Introduction to Microcomputers Lab
Florida
Institute of Technology:
CP 4291
Computer Interfacing Lab
CP 4193
Computer Systems Design Lab
TEACHING LAB RELATED DEVELOPMENTS
§
Developed Computer Networks Lab in Room 61 MWAH. The
design goal of this lab was to provide students with hands-on network
experiments that reflect real-world networks in a smaller scale. The lab was
innovatively designed to address multi-layered architecture of computer
networks covering from wiring to network operating systems. The experiments
include 10M and 100M bps Ethernet wiring and wiring closet design, standard
wiring conformance testing and use of testing equipments, implementation of
network equipments (hubs, routers, bridges), client-server installations,
network performance monitoring, remote file sharing, and server management
(web, printer, database). 1999-Present.
§
Developed several neural network simulators for UNIX
and Windows environments. The simulators include back-propagationnetwork,
Kohonen's self-organizing feature map, simulated annealing, Hopfield networks,
Radial Basis Function Networks, Support Vector Machines, and graphical tools.
They were used in CpE 5800 and ECE4801: Introduction to Neural Networks.
1993-Present.
§
Developed Microcomputer Lab based on a SPARC station, a
SUN Network Terminal Server (64 terminals), and single board computers
(M68HC11EVBs), for basic computer engineering courses. Each station includes an
interface card that was designed for various hardware and software experiments.
It was used ECE 3325: Introduction to Microcomputers.
§
Designed Computer Interface Lab and the Computer
Systems Lab at the Florida Institute of Technology. Both labs were designed
using MC68000 family chips, MEX68KECBs, and many interface I/O boards. In
addition, an EPROM programmer was designed and integrated to the system to
provide a development environment to students. 1987.
§
Designed and constructed several computer systems based
on MC68000 family for development of computer design courses and as a
development and testing tool for microprocessor-based system designs. The
system includes many types of I/O ports and an EPROM burner for testing and
implementation of BIOS and I/O’s in microprocessor-embedded systems. The
systems were used as a development system for CpE 3950: Design
Workshop/Computer Construction at University of Minnesota Duluth, and for CP
4193: Computer Systems Design at Florida Institute of Technology. 1986-1992.
§
Designed and constructed a 16-bit microprocessor using
bit-slice computers. It was used as an experimental station for
micro-programmed computer architecture and instruction design. 1988.
COMMITTEES (UMD)
§
McKnight Professor Search Committee, Chair
§
ECE Department Merit Evaluation Policy, Chair
§
College of Science Executive Committee
§
Senior Project Policy Committee
§
CSE Single Quarter Leave Committee
§
Faculty Information Record Committee, Chair
RESEARCH GRANTS
- T.M.
Kwon (PI), “Integrated TDRL Projects, DLL Traffic Software Development
Package, Gravel-Road Traffic Counter, Intersection Movement Counter, and
Hybrid Renewable Light Pole,” NATSRL, $101,900, 2005-2006.
- T.M.
Kwon (PI), “Development of Portable Eight-Channel WIM Analysis System
Based on Analog WIM Signals,” Minnesota Department of Transportation,
P2006015, $89,611, 2005-2007.
- T.M.
Kwon (PI), “Development of Transportation Data Center at TDRL: Archival of
Large-Scaled Transportation Data, Analysis Tool Developments, and On-Line
Data Support,” NATSRL, $89,908, 2004-2005.
- T.M.
Kwon (PI), “Development of Transportation Data Center at TDRL: Archival of
Large-Scaled Transportation Data, Analysis Tool Developments, and On-Line
Data Support,” $101,900,
2003-2004.
- T.M.
Kwon (PI), “Development of Transportation Data Center at TDRL: Archival of
Large-Scaled Transportation Data, Analysis Tool Developments, and On-Line
Data Support,” $141,660,
2002-2003.
- T.M.
Kwon (PI), “Section Travel-Time Measurement and Vehicle Classification
Using Inductance Signatures of Loop Detectors,” Minnesota Department of
Transportation, Nov 2003- Dec 2006, ($51,000 direct)
- T.M.
Kwon, S. Burns, D.B. Crouch, D.A. Wyrick, J.P. Riehl, “Development of
Northland Advanced Transportation Systems Research Lab,” 2001, $3,691,200.
- T.M.
Kwon (PI), “TMC Traffic Data Automation for Mn/DOT’s Traffic Monitoring
Program,” Guide Star Fund, Minnesota Department of Transportation, Jan
2001 – Dec 2001. ($79,819)
- T.M.
Kwon (coPI), Max Donath (PI), Craig Shankwitz (coPI), ``Intelligent
Vehicle Initiative (IVI) - Specialty Vehicle Field Operational Test
Program: Visibility Evaluation,'' FWAH, Mn/DOT, Oct. 1, 1999 - open, Total: $6,550,000, (Funded by FHWA:
$3.89mil, Mn/DOT: $0.97mil, Partners: $1.69mil, $194,475.84 for myself),
2000-2003.
- T. M.
Kwon (PI), “World Wide Web Based Pavement Condition Reporting System,”
Minnesota Department of Transportation, Sep. 1, 1999 - 2000, $44,094.
- T. M.
Kwon (PI), ``An automatic visibility measurement system based on video
cameras: Phase II,'' Minnesota Department of Transportation, $65,000,
Funded, Nov. 1999-Present.
- T. M.
Kwon (PI), “Development of a mobile R/WIS station: packed snow assessment
using tire noise and vibration,” Minnesota Department of Transportation,
$92,000, Submitted on Dec. 1998. [Not funded]
- T. M.
Kwon (PI), “Development of Event-dialing/Auto-logging/Auto-paging System
for Aitkinson Bridge Automated Deicing Spray,” Instrumentation Grant,
Minnesota Department of Transportation, Summer, 1988, ($3,460).
- T. M.
Kwon (PI), “Integration of RTMS and SQL to Mn/DOT Next Generation R/WIS,”
Minnesota Department of Transportation, Mn/DOT Agreement No., 74708, Work
Order No. 101, $66,359, Dec. 20, 1998 -open.
- T. M.
Kwon (PI), “Design and Construction of Testing Equipment for Load Dump,
Inductive Load Switching, Alternator Field Decay, Mutual Coupling,” Development
Grant, Hibbing Electronics, July 1996 – July 1997. ($8,600)
- T. M.
Kwon (PI), “Next Generation R/WIS: Video Clip Based Integrated Visual
R/WIS,” Minnesota Department of Transportation, Mn/DOT Agreement No. 74708, Work Order No. 47 and
Supplement No. 1, $54,000, July 1997-1999.
- T. M.
Kwon (PI), “Airborne Thermography Imaging and the Development of a 2D
Thermal Map for the State of Minnesota Highways,” DOT Federal Level
Grant, U.S. Department of Transportation, $285,481.00, submitted in
Feb. 1996 [Not funded].
- T. M.
Kwon (PI), “Automatic Low-Visibility Warning System Based on Video
Cameras,” Research Grant, Mn/DOT Contract # 74708, Work Order No.
10}, Minnesota Department of Transportation, Aug. 1996 - open. ($28,191)
- T. M.
Kwon (PI), “Development of a Nondestructive Lake-Ice Thickness Surveying
Instrument,” SOTA TECH funds, Blandin Foundation, May 1996 -;
$39,000.00. [submitted in Feb. 1996, not funded]
- T. M.
Kwon (PI) and W. Marko, “WAN and LAN design and installation for Schott
Power Corporation,” Development Grant, Schott Corporation, Dec. 95
- Mar. 96. ($7,600)
- T. M.
Kwon (PI) and M. G. Kang, “High Resolution Image Reconstruction for
Honeywell,” Development Grant, Honeywell Inc., Summer 1995.
($6,854)
- T. M.
Kwon (PI), “Intelligent Image Compression Based on Human Priority,” Grant-in-Aid
of Research, Artistry, and Scholarship, Graduate School, University of
Minnesota, TC, submitted Mar. 6, 1995. ($14,600)
- T. M.
Kwon (co-PI), M. Zervakis, N. Shehadeh, ``Design of RWIS Mobile
Measurement System for Mn/DOT,'' Development Grant, Minnesota
Department of Transportation, June 1994 - Dec. 1995. ($24,872)
- T. M.
Kwon (co-PI), M. Zervakis, N. Shehadeh, M. Patyra, and P. Cheung,
Jiann-Shiou Yang, “Characterization of Contaminants in Wastepaper Bales
Based on Physical Characteristics of Contaminants,” Development Grant,
Superior Recycled Fiber Industries, June 1994-September 1994. ($35,794)
- T. M.
Kwon (PI), “Image Restoration Using a Complementary Neural Network,” Faculty
Summer Research Fellowship, under the research proposal \#16038,
Graduate School, University of Minnesota, TC, Summer-II, 1994. ($4,800)
- T. M.
Kwon (PI), “Professional Development Fund for UNIX Administration,” Faculty
and Academic Staff Professional Development Fund, Academic
Administration, UMD, Dec. 1993. ($1,300)
- T. M.
Kwon (PI), ``Modular Analog CMOS VLSI Chips for Multilayered Neural
Networks with On-Chip BEP Learning,'' Grant from Institute of
International Studies and Programs (travel grant), University of
Minnesota, TC, Nov. 1993. ($800)
- T.
Kwon (co-PI), C. Carroll, P. Cheung, L. Garber, M. Patyra, J. Yang, K.
Yin, and M. Zervakis, "Wastepaper Classification and
Processing," Development Grant, Superior Recycled Fiber
Industries, May 25, 1993-Sep. 30, 1993. ($71,000)
- T. M.
Kwon (PI), “Development of a Self-Organizing and Trainable Fuzzy Logic
Controller,” Grant-in-Aid of Research, Artistry, and Scholarship,
Graduate School, University of Minnesota, TC, under the research proposal
#15463, Dec. 1, 1992 - June. 1, 1994. ($11,197)
- T. M.
Kwon (PI), “An Efficient Learning Algorithm for Gaussian Neural Networks,”
Faculty Summer Research Fellowship, Graduate School, University of
Minnesota, TC, under the research proposal #15065, Summer 1992. ($4,500)
- T. M.
Kwon (PI), “Synthesis of Threshold Networks Using Convexity and
Decomposition,” Grant-in-Aid of Research, Artistry, and Scholarship,
Graduate School, University of Minnesota, TC, under the research
proposal #14305, Feb. 20, 1991 - Jun. 1992. ($7,985)
- T. M.
Kwon (PI), “A Stable Learning Algorithm in Feedforward Network for Binary
Logic,” Faculty Summer Research Fellowship, Graduate School, University
of Minnesota, TC, Summer 1990. ($4,300.00)
- T. M.
Kwon (PI), “Development of General Purpose Network Memory,” Faculty Summer Research Fellowship,
College of Science and Engineering, University of Minnesota, Duluth,
Summer 1989. ($3,555.00)
- T. M.
Kwon (PI), Research Set-up Fund, College of Science and
Engineering, University of Minnesota, Duluth, Sep. 1989. ($30,000.)
- T. M.
Kwon (PI) and C. R. Carroll, “Development and Construction of Monitoring
and Control Instruments for Minnesota Power Co.,” Development Grant,
Minnesota Power Co., Sep. 1989 - Sep. 1990. In this project, we developed
a high precision RPM measurement and phase difference
detection/synchronization unit based on hall-effect transducers and
microcontrollers. These units were successfully used in the field to
monitor and control the speed of generators and to synchronize the phases
of power signals. ($12,500)
PUBLICATIONS
A. Books or Chapters in Books
- T.M.
Kwon, Atmospheric Visibility Measurements Using Video Cameras: Relative
Visibility, Minnesota Department of Transportation and Center for
Transportation, Sep, 2003
- T.M.
Kwon, TMC Traffic Data Automation for Mn/DOT’s Traffic Monitoring
Program, Minnesota Department of Transportation and Center for
Transportation, March, 2003
- T.M.
Kwon, Next Generation R/WIS: Concept and Prototype Implementation,
innesota Department of Transportation, MN/RC-1999-19, March 1999.
- T.M.
Kwon and E. H. Feroz, “Self-Organizing Fuzzy and MLP Approaches
toDetecting Fraudulent Financial Reporting,” Soft Computing in
Financial Engineering, Springer-Verlag Co. Feb. 1999, pp. 499-506,
(edited by R. Ribeiro, R.R. Yarger, H-J Zimmermann and J. Kacprzyk.),
(Comments: www.springer.de, search from books using title “Soft Computing
in Financial Engineering”)
- T.M.
Kwon, An Automatic Visibility Measurement System Based on Video Cameras,
Minnesota Department of Transportation, MN/RC-1998-25, Sep. 1998
B. Papers in Refereed Journals
- T.
Kwon, N. Dhruv, S. Patwardhan, E. Kwon “Common Data Format Archiving of Large-Scale
Intelligent Transportation Systems Data for Efficient Storage, Retrieval,
and Portability,” Journal of the Transportation Research Board: Transportation
Research Record 1836, pp. 111-117, National Academy of Science, 2003.
- T. M.
Kwon, “Measurement of Relative Atmospheric Visibility Using Digitized
Video Images,” IEEE Transactions on Instrumentation and Measurement,
submitted on Feb. 12, 2002, under review.
- T.
Kwon and Ed Fleege, “R/WIS Architecture for Integration and Expansion,”
Transportation Research Record 1700, pp. 1-4, Journal of the
Transportation Research Board, The National Research Council, The
National Academies, 2000.
- E.H.
Feroz, T.M. Kwon, V.S. Pastena, and K. Park, “The Efficacy of Red Flags in
Predicting the SEC's Targets: An Artificial Neural Network Approach,” International
Journal of Intelligent Systems in Accounting, Finance and Management,
vol. 9, pp. 145-157, July 2000.
- T.M.
Kwon, P. Agrawal, and D. Crouch, “A ROI Search Method for Still Images
Based on Set Descriptions,” International Journal on Multidimensional
Systems and Signal Processing, vol. 9, pp93-106, 1998.
- T. M.
Kwon and Hui Cheng, ``Contrast Enhancement for Back-Propagation Network,''
IEEE Trans. on Neural Networks, vol. 7, no. 2, pp. 515 - 524, Mar.
1996.
- T. M.
Kwon and M. E. Zervakis, “Design of Regularization Filters Using Linear
Neural Networks,” Journal of Artificial Neural Networks, vol. 1,
No. 2, pp. 283-306, 1994.
- M. E.
Zervakis and T. M. Kwon, “Robust Estimation Techniques in Regularized
Image Restoration,” SPIE Optical Engineering, vol. 31, no. 10, pp.
2174-2190, Oct. 1992.
C. Conference Papers
- T.M.
Kwon and N. Dhruv, “Unified Transportation Sensor Data Format (UTSDF) for
Efficient Archiving and Sharing of Statewide Transportation Sensor Data,” Proc.
of the Transportation Research Board 83nd Annual Meeting,
Washington D.C., Jan. 2004.
- T.M.
Kwon, “New Efforts in Dealing with Missing Data for Mn/DOT’s
Short-Duration and Continuous Count Traffic Monitoring Program,” 14th
Annual Transportation Research Conference, River Center, St. Paul,
Minnesota, (sponsored by Center for Transportation Study), April 29, 2003.
- T.M.
Kwon, “Data Archive in Minnesota using Common Data Format (CDF),” Archived
Data User Service (ADUS): System Designs and Implementation Examples, Jan
2003, sponsored by Urban Transportation Data and Information Systems
(AID08), Statewide Transportation Data and Information Systems (AID09),
and information Systems and Technology (A5003).
- N.
Dhruv, T. Kwon, and S. Patwardhan,
“CDF Archival of Large-Scaled ITS Data for Efficient Archival, Retrieval,
and Portability, ,” Proc. of the Transportation Research Board 82nd
Annual Meeting, Washington D.C., Jan. 2003.
- T.
Kwon, “Measurement of Motorist’s Relative Visibility Index (MRVI) through
Video Images,” Proc. of the
Transportation Research Board 81st Annual Meeting,
Washington D.C., Jan. 2002.
- E.
Kwon, S. Kim, and T. Kwon, “Pseudo Real-Time Evaluation of Adaptive
Traffic Control Strategies using Hardware-in-Loop Simulation,” Proceeding
of the 27th Annual Conference of the IEEE Industrial
Electronics Society, Denver, Colorado, Nov 29-Dec. 2, 2001, Accepted for
publication.
- T.
Kwon, “R/WIS Architecture for Integration and Expansion,” Transportation
Research Board, 79th Annual Meeting, published in the Conference
Proceedings in CD-ROM, Washington D.C., Jan. 2000.
- T.M.
Kwon and Ed Fleege, “Automatic Visibility Measurement Methods Based on
Video Cameras,” Proceedings of Xth PIARC International Winter Road
Congress, March 1998, Sweden.
- E.J.
Fleege and T.M. Kwon, “Thermal Mapping at Mn/DOT,” Proc. of Fourth
International Symposium on Snow Removal and Ice Control Technology,
pp. mm00-mm12, Reno, Nevada, Aug. 11-16, 1996.
- E.
H. Feroz and T. M. Kwon, “Self-Organizing Fuzzy and MLP Approaches to
Detecting Fraudulent Financial Reporting,” Proc. of IEEE/IAFE
Computational Intelligence for Financial Engineering, pp. 279-285,
Mar. 1996.
- Hui
Cheng and T. M. Kwon, “Neighboring Structure Based Modular Neural Network,”
Proc. of World Congress on Neural Networks, vol. 1, pp. 718-723,
Washington D.C., July 1995.
- T.
M. Kwon, Hui Cheng, and M. Zervakis, “Modular Neural Networks for Function
Approximation,” Proc. of ANNIE-94, vol. 4, pp. 11-16, Rolla, MO,
Nov. 1994.
- T.
M. Kwon, E. H. Feroz, and H. Cheng, “Preprocessing of Training Set for
Back Propagation Algorithm: Histogram Equalization,” Proc. of the IEEE
International Conference on Neural Networks-94, vol. 1, pp. 425-430,
Orlando, FL, June 26 - July 2, 1994.
- M.
E. Zervakis, T. M. Kwon, and A. E. Savakis, “Operator Decomposition Using
the Wavelet Transform: Fundamental Properties and Image Restoration
Applications,” Proc. of the International Conference on Image
Processing, vol. 1, pp. 56-60, Austin, TX, Nov. 1994.
- M. E.
Zervakis, T. M. Kwon, and A. V. Venetsanopoulos, “A Self-Organizing and
Trainable Fuzzy-Neural Controller,” Proc. of the IEEE Mediterranean
Symposium on New Directions in Control Theory and Applications, June
1993.
- Y.
Wang, T. M. Kwon, and O. Khatib, “Modular Analog CMOS VLSI Chips for
Multilayered Neural Networks with On-Chip BEP Learning,” Proc. of the 3rd
International Conference on VLSI and CAD (ICVC'93), vol. 1, pp.
299-302, Taejon, KOREA, Nov. 1993.
- T.
M. Kwon and Y. Wang, “Digital Implementation of Programmable Neural
Networks in Synchronous Pulse Mode,” in Intelligent Engineering Systems
through, Artificial Neural Networks (Proc. of ANNIE-93), Eds., C. H.
Dagli, L. I. Burke, B. R. Fernandez, and J. Ghosh, vol. 3, pp.65-70,
Rolla, MO, Nov. 1993.
- M.
E. Zervakis and T. M. Kwon, “A Generalized Study of the Weighted
Least-Squares for the Selection of the Regularization Parameter in Inverse
Problems,” Proc. of the ISCAS'93 Symposium, vol. 1, pp. 415-418,
Chicago, IL, May 1993.
- M.
J. Patyra and T. M. Kwon, “Processing of Incomplete Fuzzy Data Using
Artificial Neural Network,” Proc. of the IEEE International Conference
on Fuzzy Systems, vol. I, pp. 429-434, San Francisco, CA, Mar. 28-
Apr. 1, 1993.
- M.
E. Zervakis and T. M. Kwon, “On the Application of Robust Functionals in
Regularized Image Restoration,” Proc.
of ICASSP-93, vol. V, pp. 289-292, Minneapolis, MN, April 27-30, 1993.
- T.
M. Kwon and M. E. Zervakis, “A Parallel Sorting Network without
Comparators: A Neural Network Approach,”
Proc. of the International Joint Conference on Neural Networks
(IJCNN), vol. I, pp. 701-706, Baltimore, MD, June 7-11, 1992.
- H.
Alam, M. E. Zervakis, and T. M. Kwon, “Edge Evaluation: A Measure to
Compare Image Restoration Techniques,” Journal of the Minnesota Academy
of Science, vol. 57, no.1, pp. 7-8, Spring 1992.
- T.
M. Kwon, “A Guaranteed Training of Binary Pattern Mappings Using Gaussian
Perceptron Networks,” Proc. of the International Joint Conference on
Neural Networks (IJCNN), vol. III, pp. 614-619, Baltimore, MD, June
7-11, 1992.
- T.
M. Kwon and M. E. Zervakis, “Gaussian Perceptron: Learning Algorithms,” Proc.
of the International Conference on Systems, Man, and Cybernetics, vol.
1, pp. 105-110, Chicago, IL, Oct. 1992.
- T.
M. Kwon and M. E. Zervakis, “Design of Regularization Filters with Linear
Neural Networks,” Proc. of the International Conference on Systems,
Man, and Cybernetics, vol. 1, pp. 416-421, Chicago, IL, Oct. 1992.
- T.
M. Kwon and Y. Lu, “A Comparative Study of the Traveling Salesman
Problem,” Intelligent
Engineering Systems Through Artificial Neural Networks (Proc. of
ANNIE-91), C. H. Dagli, S. R. T. Kumara, and Y. C. Shin, Eds., pp.
889-894, Rolla, MO, Nov. 1991.
- T.
M. Kwon and M. E. Zervakis, “Robust Regularized Image Processing,”in Stochastic
and Neural Methods in Signal Processing, Image Processing, and Computer
Vision, Su-Shing Chen, Ed., (Proc. of SPIE The International Society
for Optical Engineering), vol. 1569, pp. 317-328, July 1991.
- T.
M. Kwon, “Optimization for Precision in Speed and Phase Measurement
Using a Microcontroller,” Proc.
of the IEEE Southeastcon-91, vol. 1, pp. 133-137, Williamsburg, VA,
Apr. 1991.
- T.
M. Kwon, “Threshold Net Synthesis Using Simulated Annealing,” Proc. of
the IEEE Southeastcon-91, vol. 2, pp. 1069-1073, Williamsburg, VA,
Apr. 1991.
- T.
M. Kwon and C. R. Carroll, ``Optimization for Precision in Speed
Measurement Using a Microcontroller,'' Proc. of the 21st Annual
Pittsburg Conference on Modeling and Simulation, vol. 21, pp. 629-633,
edited by W. G. Vogt and M. H. Mickle, Pittsburg, PA, May 1990.
- T.
M. Kwon and M. E. Valdez, ``Implementation of a Programmable Artificial
Neuron Using Discrete Logic,'' Proc. of the IEEE Southeastcon-89,
vol. 1, pp. 181-186, Columbia, SC, Apr. 1989.
- M.
E. Valdez and T. M. Kwon, “An Elementary Processor for a Neural Computer,”
Proc. of the IEEE Southeastcon-88, pp. 628-632, Knoxville, TN, Apr.
1988.
- T.
M. Kwon, “Continuous Speech Recognition Using Linear Predictive Coding,” Proc.
9th Annual KSEA Symposium, Florida Chapter, University of Florida,
Dec. 1984.
D. Technical Manuals
- T.
M. Kwon, “RWIS Measurement System for MN/DOT: User/Reference Manual”,
Minnesota Department of Transportation, over 300 pages, April 1995.
- T.
M. Kwon, “Artificial Neural Networks: Theoretical Developments and
Applications,” Locally Produced Classroom Workbook, over 347 pages,
Department of Computer Engineering, University of Minnesota, Duluth, 1992
- T.
M. Kwon, “MC68000 Microprocessor Based Systems: Design and Construction
Manual,” Locally Produced Textbook, 62 pages, Department of Computer
Engineering, University of Minnesota, Duluth, 1990.
- T.
M. Kwon and C. R. Carroll, “High Precision RPM Measurement Unit User
Manual,” Minnesota Power Co. 1989.
E. Others
- T.
Kwon, “Automatic visibility measurement system helps make real-time
weather information readily available.” TRAK (Technology Research And
Knowledge) Research News, Number 14, June 1998.