Machine Learning, Data Compresssion, and Pattern Recognition
· Y. Dong, and W. D. Pan, “A Survey on Compression Domain Image and Video Data Processing and Analysis Techniques,” Information, 14(3), 184, March 2023. (Open Access Article Link) (PDF)
· R. Hooda, W. D. Pan, and B. Benson, “ Transform Decomposition Switching for Efficient Attribute Compression of 3D Point Clouds Using Neural Networks,” International Conference on Computational Science and Computational Intelligence (CSCI), December, 2022. (Website)
· Y. Dong, and W. D. Pan, “Image Classification in JPEG Compression Domain for Malaria Infection Detection,” Journal of Imaging, 8(5), 129, May 2022. (Open Access Article Link) (PDF)
· R. Hooda, W. D. Pan, and T. M. Syed, “A Survey on 3D Point Cloud Compression Using Machine Learning Approaches,” IEEE SoutheastCon, March-April, 2022. (IEEE Xplore)
· R. Hooda, and W. D. Pan, “Early Termination of Dyadic Region-Adaptive Hierarchical Transform for Efficient Attribute Compression of 3D Point Clouds,” IEEE Signal Processing Letters, Dec. 2021. (IEEE Xplore)
· B. Benson, W. D. Pan, A. Prasad, G. A. Gary, and Q. Hu, “On the Estimation of the SHARP Parameter MEANALP from AIA Images Using Deep Neural Networks,” Solar Physics (2021) 296:163. (Springer Link) (Springer Nature SharedIt Link)
·Z. Jiang, F. Guo, Y. Qian, Y. Wang, and W. D. Pan, “A Deep Learning-Assisted Mathematical Model for Decongestion Time Prediction at Railroad Grade Crossings,” Neural Computing and Applications, Oct. 2021. DOI: 10.1007/s00521-021-06625-z. (Springer Link)
· F. Civilini, R. C. Weber, Z. Jiang, D. Phillips, and W. D. Pan, “Detecting Moonquakes Using Convolutional Neural Networks, a Non-local Training Set, and Transfer Learning,” Geophysical Journal International, March 2021. (Oxford Academic Link) (PDF)
· R. Hooda and W. D. Pan, “Lossless Compression of Bilevel ROI Maps of Hyperspectral Images Using Optimization Algorithms,” IEEE Geoscience and Remote Sensing Letters, Jan. 2021. (IEEE Xplore)
· Y. Wang, W. D. Pan, J. Fu, and B. Wei, “Margin Setting Algorithm for Pattern Classification via Spheres,” Pattern Analysis and Applications, June 2020. (Springer Nature Link)
· Z. Jiang, W. D. Pan, and H. Shen, “Spatially and Spectrally Concatenated Neural Networks for Efficient Lossless Compression of Hyperspectral Imagery,” Journal of Imaging, 6(6), 38, May 2020. (Open Access Article Link) (PDF)
· B. Benson, W. D. Pan, A. Prasad, G. A. Gary, and Q. Hu,“Forecasting Solar Cycle 25 Using Deep Neural Networks,” Solar Physics, vol. 295. no. 65, May 2020. (Springer Nature SharedIt Link)
· Y. Dong, W. D. Pan, and D. Wu, “Impact of Misclassification Rates on Compression Efficiency of Red Blood Cell Images of Malaria Infection Using Deep Learning,” Entropy, Special Issue in “Image Analysis II”, vol. 21, no. 11, pp. 1 - 16, Oct. 2019. (Open Access Article Link) (Twitter) (LinkedIn) (PDF)
· B. Benson, W. D. Pan, A. Prasad, G. A. Gary, and Q. Hu,“Determining the Parameter for the Linear Force-Free Magnetic Field Model with Multi-Dipolar Configurations Using Deep Neural Networks,” In Proc. of Machine Learning in Heliophysics, Amsterdam, September 2019. (Poster)
· R. Hooda, and W. D. Pan, “Tree Based Search Algorithm for Binary Image Compression,” in Proc. of IEEE SoutheastCon, Huntsville, AL, April. 2019. (IEEE Xplore) (PDF) (Slides)
· B. Benson, W. D. Pan, G. A. Gary, Q. Hu, and T. Staudinger, “Determining the Parameter for the Linear Force-Free Magnetic Field Model with Multi-Dipolar Configurations Using Deep Neural Networks,”Astronomy and Computing (an Elsevier Journal), vol. 26, January 2019, pp. 50 - 60. (Link)
· H. Shen, Z. Jiang, and W. D. Pan, “Efficient Lossless Compression of Multitemporal
Hyperspectral Image Data,” Journal of Imaging, Special Issue on “The Future of Hyperspectral Imaging”, vol. 4, no. 12, pp. 1 - 14, Dec. 2018. (Open Access Article Link) (PDF)
· Z. Jiang, W. D. Pan, and H. Shen, “LSTM Based Adaptive Filtering for Reduced
Prediction Errors of Hyperspectral Images,” in Proc. of IEEE 2018 International Conference on Wireless for Space and Extreme Environments (WISEE'18), Huntsville, AL, Dec. 2018. (IEEE Xplore) (PDF) (Slides)
· Z. Jiang, W. D. Pan, and H. Shen, “Universal Golomb-Rice Coding Parameter Estimation Using Deep Belief Networks For Hyperspectral Image Compression,” IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 11, no. 10, pp. 3830 - 3840, Oct. 2018. (IEEE Xplore)
· W. D. Pan (co-author), “Roadmap for Reliable Ensemble Forecasting of the Sun-Earth
System,” NSF Workshop Report, Oct. 2018. (Link)
· Y. Wang, J. Fu, and W. D. Pan, “Impact of Setting Margin on Margin Setting Algorithm and Support Vector Machine,” Journal of Imaging Science and Technology, vol. 62, no. 3, pp. 30501-1-30501-11(11), May 2018. (Link)
· W. D. Pan, Y. Dong, and D. Wu, “Classification of Malaria Infected Cells Using Deep Convolutional Neural Networks,” Book Chapter in Machine Learning - Advanced Techniques and Emerging Applications, IntechOpen, ISBN 978-1-78923-753-5. Sep, 2018. (Link)
· B. Benson, Z. Jiang, W. D. Pan, G. A. Gary, Q. Hu, “Determination of Linear Force-Free Magnetic Field
Constant Alpha Using Deep Learning,” in Proc. of 2017 International Conference on Computational Science and Computational Intelligence (CSCI'17), Las Vegas, NV, Dec. 2017. (IEEE Xplore) (PDF) (Slides)
· A. Liaghati, W. D. Pan, and Z. Jiang, “Biased Run-Length Coding of Bi-Level Classification Label Maps of Hyperspectral,” IEEE Journal of
Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS),
vol.10, no.10, pp. 4580-4588, Oct. 2017. (PDF)
(IEEE Xplore)
· H. Shen, W. D. Pan, Y. Dong, and Z.
Jiang, “Golomb-Rice Coding Parameter Learning Using Deep Belief Network
for Hyperspectral Image Compression,” in Proc. of IEEE International
Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, July 2017. (IEEE Xplore) (PDF) (Slides)
· Y. Dong, Z. Jiang, H. Shen, and W.
D. Pan, “Classification Accuracies of Malaria Infected Cells Using
Deep Convolutional Neural Networks Based on Decompressed Images,” in
Proc. of IEEE SoutheastCon, Charlotte, NC,
March-April 2017. (Link) (Slides)
· H. Shen, W. D. Pan, and D. Wu,
“Predictive Lossless Compression of Regions of Interest in Hyperspectral
Images with No-Data Regions,” IEEE Transactions on Geoscience and
Remote Sensing, vol. 55, no. 1, Jan. 2017.
(Link) (IEEE Xplore)
· Y. Dong, Z. Jiang, H. Shen, W. D.
Pan, L. A. Williams, V. V. B. Reddy, W. H. Benjamin, Jr., A. W. Bryan, Jr.,
“Evaluations of Deep Convolutional Neural Networks for Automatic
Identification of Malaria Infected Cells,” in Proc. of IEEE
International Conference on Biomedical and Health Informatics (IEEE
BHI’17), Orlando, FL, Feb.
2017. (Link)
(Slides)
· H. Shen, W. D. Pan, Y. Dong and M. Alim, “Lossless Compression of Curated Erythrocyte
Images Using Deep Autoencoders for Malaria Infection
Diagnosis,” in Proc. of IEEE Picture Coding Symposium (PCS'16), Nuremberg,
Germany, Dec. 2016. (Link)
(Slides) (IEEE Xplore)
· H. Shen, and W. D. Pan,
“Predictive Lossless Compression of Regions of Interest in Hyperspectral
Image Via Maximum Correntropy Criterion Based Least
Mean Square Learning,” in Proc. of IEEE International Conf. on Image
Processing (ICIP’16), Phoenix, AZ, Sep. 2016. (Link)
(Slides)
· H. Shen, W. D. Pan, and Y. Dong,
“Efficient Lossless Compression of 4D Hyperspectral Image Data”, in
Proc. of 3rd International Conference on Advances in Big Data Analytics
(ABDA'16), Las Vegas, NV, July 2016. (Link) (Slides)
· A. L. Liaghati,
and W. D. Pan, “Evaluation of Biased Run-Length Coding Method on Binary
Images Generated by Modified Ising model,” in Proc.
of IEEE SoutheastCon 2016, Norfolk, VA,
March-April 2016. (Link)
· H. Shen, W. D. Pan, D. Wu, and M. Lubna, “Fast Golomb Coding
Parameter Estimation Using Partial Data and Its Application in Hyperspectral
Image Compression,” in Proc. of IEEE SoutheastCon
2016, Norfolk, VA, March-April 2016. (Link)
· Y. Dong, H. Shen and W. D. Pan,
“An Interactive Tool for ROI Extraction and Compression on Whole Slide
Images,” in Proc. of IEEE International Conference on Biomedical and
Health Informatics, Las Vegas, NV, February 2016. (Link)
(Slides)
· V. Muralidharan,
Y. Dong and W. D. Pan, “A Comparison of Feature Selection Techniques for
Machine Learning Based Automatic Malarial Cell Recognition in Wholeslide Images,” in Proc. of IEEE International
Conference on Biomedical and Health Informatics, Las Vegas, NV, February
2016. (Link)
(Slides)
· A. L. Liaghati,
H. Shen, and W. D. Pan, “An Efficient Method for Lossless Compression of
Bi-Level ROI Maps of Hyperspectral Images,” in Proc. of IEEE Aerospace
Conference, Big Sky, Montana, March 2016. (Link)
· L. Liaghati,
and W. D. Pan, “Improved Distance Coding of Binary Images by Run Length
Coding of the Most Probable Interval,” in Proc. of IEEE SoutheastCon 2015, Fort Lauderdale, FL, April 2015. (Link)
· H. Shen, W. D. Pan, and Y. Wang,
“A Novel Method for Lossless Compression of Arbitrarily Shaped Regions of
Interest in Hyperspectral Imagery,” in Proc. of IEEE SoutheastCon 2015, Fort Lauderdale, FL, April 2015. (Link)
· Y. Wang, W. D. Pan, and J. Fu,
“Analysis of The Margin Setting Algorithm as A Margin-based Spherical
Classification Method,” in Proc. of IEEE SoutheastCon
2015, Fort Lauderdale, FL, April 2015. (Link)
· L. Liaghati,
and W. D. Pan, “An Adaptive Interval Generation Method for Efficient
Distance Coding of Binary Images,” in Proc. of SPIE 9443, Sixth
International Conference on Graphic and Image Processing (ICGIP 2014),
March 2015. (Link)
· J. R. Hairston, W. D. Pan,
“Lossless Compression of Weather Radar Data Using Open-Source Software
Implementations,” in Proc. of International Weather Radar and
Hydrology Symposium (WRaH’2014), Washington, DC., April 2014. (Link)
· W. D. Pan, “Efficient Transformation Estimation Using Lie Operators: Theory, Algorithms, and Computational Efficiencies,” Book Chapter in Advances in Character Recognition, IntechOpen, DOI: 10.5772/53271. Nov. 2012. (Link)
· W. D. Pan, P. R. Harasti,
M. Frost, Q. Zhao, J. Cook, T. Maese, Lee J. Wagner,
Claude P. Hattan, and Bryan T. Akagi,
“A new method for compressing quality-controlled weather radar data by
exploiting blankout markers due to thresholding
operations,” in Proc. of AMS 27th Conference on International
Interactive Information and Processing Systems (IIPS”11) for
Meteorology, Oceanography, and Hydrology, Seattle, Washington, January
2011. (Link)
·
W. D. Pan, P. R. Harasti, M. Frost, Q. Zhao, J. Cook,
T. Maese, and L. J. Wagner, “Lossless
differential compression of weather radar data in universal format using motion
estimation and compensation,” in Proc. of AMS 26th Conference on
International Interactive Information and Processing Systems (IIPS”10)
for Meteorology, Oceanography, and Hydrology, Atlanta, Georgia, January
2010. (Link) ·
P. R. Harasti, W. D. Pan, M. Frost, Q. Zhao, J. Cook,
T. Maese, L. J. Wagner, and R. Owens, “On the
development of a weather radar data assimilation system for the US Navy,”
in Proc. of AMS 34th Conference on Radar Meteorology, Williamsburg , VA,
October 2009. (Link) · W. D. Pan, P. R. Harasti,
M. Frost, Q. Zhao, J. Cook, T. Maese, and L. J.
Wagner, “Efficient Reduction and Compression of Weather Radar Data in
Universal Format,” Littoral Battlespace Sensing (LBS) Newsletter,
pp. 7-9, No. 4 -Q2FY09, March 2009. · W. D. Pan, P. R. Harasti,
M. Frost, Q. Zhao, J. Cook, T. Maese, and L. J.
Wagner, “Efficient Reduction and Compression of Weather Radar Data in
Universal Format,” Proc. of AMS 25th Conference on International
Interactive Information and Processing Systems (IIPS”09) for Meteorology,
Oceanography, and Hydrology, Phoenix, AZ, January 2009. (Link) Computationally Efficient Local Motion
Estimation Algorithms with High Accuracy
· J. Cai and W. D. Pan, “On Fast and Accurate Block
Based Motion Estimation Algorithms Using Particle Swarm Optimization,” Information
Sciences, vol. 197, pp. 53-64, August 2012. (
http://www.sciencedirect.com/science/article/pii/S002002551200117X ) · J. Cai,
and W. D. Pan, “Fast Exhaustive-Search Motion Estimation Based on Accelerated
Multilevel Successive Elimination Algorithm with Multiple Passes,” Proc.
of the 35th International Conference on Acoustics, Speech, and Signal
Processing (ICASSP”10), Dallas, TX, March 2010. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5495384 ) · J. Cai,
and W. D. Pan, “Statistical Analysis of Thresholding Errors For Adaptive
Projection-Based Fast Block Matching Motion Estimation”, in Proc. of Picture
Coding Symposium (PCS”09), Chicago, Illinois, May 2009. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05167449 ) · J. Cai, and W. D. Pan, “Particle Swarm Optimization
Algorithm For Block Based Motion Estimation”, Proc. of Huntsville
Simulation Conference (HSC”07), Huntsville, Alabama, October 2007. · W. D. Pan, S.-M. Yoo,
M. Nalasani, and P. Cox, “Efficient Local
Transformation Estimation Using Lie Operators,” Information Sciences,
vol. 177, no. 3, pp. 815-831, February 2007. (
http://www.sciencedirect.com/science/article/pii/S0020025506001952 ) · W. D. Pan, S.-M. Yoo,
C.-H. Park, “Complexity Accuracy Tradeoffs of Lie Operators in Motion
Estimation,” Pattern Recognition Letters, vol. 16, no. 2, pp.
153-164, June 2006. (
http://www.sciencedirect.com/science/article/pii/S0167865506002789 ) · J. Cai,
and W. D. Pan, “Simulation of Fast Motion Estimation based on a Modified
Particle Swarm Optimization Method”, in Proc. of Huntsville Simulation
Conference (HSC”06), Huntsville, Alabama, Nov. 2006. · M. Nalasani
and W. D. Pan, “Transformation Estimation with Sub-Pixel Accuracy,”
in Proc. of Huntsville Simulation Conference (HSC”04), Huntsville,
Alabama, Nov. 2004 Computationally Efficient Global Motion
Estimation Algorithms · C.-H. Park, S.-M. Yoo, and W. D. Pan, “LSM: A Layer Subdivision Method
for Deformable Object Matching,” Information Sciences, vol. 180,
issue 19, Sep. 2010, pp. 3718-3727. (
http://www.sciencedirect.com/science/journal/00200255 ) · H. Alzoubi,
and W. D. Pan, “Reducing the complexity of MPEG-4 global motion
estimation using pixel subsampling, “ IET Electronics Letters,
vol. 44, no. 1, pp. 20 -22, January 2008. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4415006 ) · H. Alzoubi,
and W. D. Pan, “Fast and Accurate Global Motion Estimation Algorithm
Using Pixel Subsampling,” Information Science, vol. 178, no. 17,
pp. 3415-3425, September 2008. (
http://www.sciencedirect.com/science/journal/00200255 ) · H. Alzoubi,
and W. D. Pan, “Fast and Accurate Global Motion Estimation by Combining
Pixel Subsampling and Outlier Rejection,” Proc. of Picture Coding
(PCS”07) Symposium, Lisbon, Portugal, November 2007. (
http://www.eurasip.org/proceedings/ext/pcs2007/defevent/papers/cr1263.pdf ) · H. Alzoubi,
and W. D. Pan, “Efficient global motion estimation using fixed and random
subsampling patterns,” Proc. of the IEEE International Conference on
Image Processing (ICIP”07), San Antonio, TX, September, 2007. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4378995 ) · H. Alzoubi,
and W. D. Pan, “Very Fast Global Motion Estimation using Partial
Data”, Proc. of the 32nd International Conference on Acoustics,
Speech, and Signal Processing (ICASSP”07), Honolulu, Hawaii, April,
2007. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4217298 ) · H. Alzoubi,
and W. D. Pan, “Floating-Point Genetic Algorithm for Translational Motion
Estimation”, in Proc. of Huntsville Simulation Conference
(HSC”06), Huntsville, Alabama, Nov. 2006. Algorithms and Architectures for
Image/Video Processing and Coding · A. M. Shams, A. Chidanandan,
W. D. Pan, and M. A. Bayoumi, “NEDA: A Low-Power
High-Performance DCT Architecture,” IEEE Trans. on Signal Processing,
vol. 54, no. 3, pp. 955 - 964, March 2006. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01597561 ) · J. Cai, W. D. Pan and P. G. Cox, “Simulation of
Distributed Coset Coding of Correlated Images,”
in Proc. of Huntsville Simulation Conference (HSC”05), Huntsville,
Alabama, Nov. 2005. · A. G. Veeravalli,
M. Nalasani and W. D. Pan, “Covariance Analysis
of Non-Translational Motion-Compensated frame differences,” Proc. of
IEEE Southeastern Symposium on System Theory, Tuskegee, Alabama, March
2005. pp. 462 -465. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1460958 ) · M. Nalasani
and W. D. Pan, “Performance Evaluation of MPEG-2 Codec with Accurate
Motion Estimation,” in Proc. of IEEE Southeastern Symposium on System
Theory, Tuskegee, Alabama, March 2005. pp. 287 - 291.(
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1460923 ) · M. Nalasani
and W. D. Pan, “Accuracy, Rate and Complexity Tradeoffs of Transformation
Estimation using Lie Operators,” in Proc. of International Conference
on Imaging Science, Systems and Technology (CISST”04), pp. 210-216,
Las Vegas, Nevada, June 2004. · Z. Pan, W. D. Pan, and A. Milenkovic, “Complexity-Distortion Tradeoffs in
Variable Complexity 2-D DCT,” in Proc. of the 42nd ACM Southeast
Conference, pp. 460-465, Huntsville, Alabama, April 2004. (
http://portal.acm.org/citation.cfm?id=986652 ) · W. D. Pan, Basso and Bottou, “An iterative algorithm for accurate motion
estimation under very low bit rate constraint in video coding,” in Proc.
of International Signal Processing Conference (ISPC), Dallas, Texas. April
2003. · W. D. Pan and S.-M. Yoo, “Computation control of distributed image decoders
in mobile computing,” in Proc. of 16th International Conference on
Parallel and Distributed Computing Systems, Reno, Nevada, August 2003. · W. D. Pan, A. Ortega, I. Hajj-Ahmad
and R. Sannino, "Proxy-Based Approaches for IDCT
Acceleration," in proceedings of IS&T and SPIE Conf. on Visual
Communications and Image Processing (VCIP 2001), pp.625-636, January 2001,
San Jose, California. · W. D. Pan and Ortega,
"Complexity-scalable Transform Coding using Variable Complexity
Algorithms," in Proceedings of Data Compression Conference (DCC'00),
pp.263-272, March 2000. Snowbird, Utah. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=838166 ) Parallel Algorithms and Implementation for
Fast Fourier Transform (FFT) · R. A. AL-Na'mneh,
W. D. Pan, and S.-M. Yoo, “Parallel
Implementation of 1-D Fast Fourier Transform without Inter-Processor
Communication,” International Journal of Computers and Applications,
vol. 29, no. 2, 2007. (
http://www.actapress.com/Content_of_Journal.aspx?journalID=59 ) · R. A. Al-Na'mneh
and W. D. Pan, “Five-Step FFT Algorithm with Reduced Computational
Complexity,” Information Processing Letter, vol. 101, no. 6, pp.
262-267, March 2007. (
http://www.sciencedirect.com/science/journal/00200190 ) · R. A. Al-Na'mneh,
W. D. Pan, and S.-M. Yoo, “Efficient Adaptive
Algorithm for Transposing Small and Large Matrices on Symmetric
Multiprocessors,” International Journal Informatica,
vol. 17, no. 4, pp. 535-550, 2006. (
http://www.mii.lt/informatica/ ) · R. A. Al-Na'mneh,
W. D. Pan, and S.-M. Yoo, “Two Parallel 1-D FFT
algorithms without All-to-All Communication,” Parallel Processing
Letters, vol. 16, no. 2, pp. 153-164, June 2006. ( http://www.worldscinet.com/ppl/ ) Communications and Channel Codes · W. D. Pan, and A. Ortega,
“Adaptive Computation Control of Variable Complexity Fano
Decoders,” IEEE Trans. on Communications, vol. 57, no. 6,
pp. 1556-1559, June 2009. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5089485 ) · W. D. Pan, and S.-M. Yoo, “Fano Decoding with
Timeout: Queueing Analysis,” ETRI Journal, vol. 28, no. 3, pp.
301-310, June 2006. (Recipient of the Paper of the
Year 2006 Award from the ETRI Journal) (
http://etrij.etri.re.kr/Cyber/servlet/GetFile?fileid=SPF-1149840595758 ) · C.-H. Park, S.-M. Yoo, H. Choo, and W. D. Pan, “Multi-User Data
Multiplexing for Digital Multimedia Broadcasting,” Computer
Communications, vol. 29, no. 18, pp. 3970 - 3975, 2006. (
http://www.sciencedirect.com/science/journal/01403664 ) · K. Darabkh
and W. D. Pan, “Stationary Queue-Size Distribution for Variable
Complexity Sequential Decoders with Large Timeouts,” Proc. of 44th ACM
Southeast Conference, pp. 331 -336, Melbourne, Florida, March 2006. (
http://portal.acm.org/citation.cfm?id=1185523 ) · K. Darabkh
and W. D. Pan, “Queueing Simulation for Fano
Decoders with Finite Buffer Capacity,” Proc. of 9th Communications and
Networking Simulation Symposium (CNS”06), Huntsville, Alabama, April
2006. (
http://www.scs.org/confernc/springsim/springsim06/prelimProgram/cns/10.html ) · W. D. Pan, “Quantization of Fano Metrics Using Relative Entropy in Modeling Channels
with Memory,” in Proc. of IEEE Southeastern Symposium on System Theory,
Atlanta, Georgia, March 2004. (
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1295672 ) · W. D. Pan and S.-M Yoo, “W. D. Pan, S.-M. Yoo
and R. Adhami, “Prediction of Rayleigh fading
channels based on hidden Markov modeling of sequential channel decoding
complexity,” Proc. of IEEE Southeastern Symposium on System Theory,
Morgantown, West Virginia, March 2003. (
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1194579 ) · W. D. Pan and S.-M. Yoo, “Computation Control of Distributed Image
Decoders in Mobile Computing,” in Proc. of 16th International
Conference on Parallel and Distributed Computing Systems, Reno, Nevada,
August 2003. · W. D. Pan and A. Ortega, "Buffer
Control for Variable Complexity Fano Decoders,"
in Proc. of Globecom 2001, pp.176-180, Nov.
2001, San Antonio, Texas. (
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=00965102 ) Information Assurance, Security and
Privacy · F. T. Sheldon, J. M. Weber, S.-M. Yoo, and W. D. Pan, “Insecurity of Wireless
Networks,” IEEE Security and Privacy Magazine, vol. 10, issue 4,
pp. 54-61, July-August, 2012. · Y. Kanamori,
S.-M. Yoo, W. D. Pan, and F. T. Sheldon, “A
Short Survey on Quantum Computers,” International Journal of Computers
and Applications, vol. 28, no. 3, pp. 227-233, 2006. (
http://www.actapress.com/Content_of_Journal.aspx?journalID=59 ) · S. M. Yoo,
D. Kotturi, W. D. Pan, and J. Blizzard, “An AES
Crypto Chip Using A High-Speed Parallel Pipelined Architecture,” Microprocessors
and Microsystems, vol. 29, no. 7, pp. 317-326, Sep. 2005. (
http://www.sciencedirect.com/science/journal/01419331 ) · P. Paritala
and W. D. Pan, “Higher Order Statistical Analysis of Steganographic
Images using Wavelet Transforms,” in Proc. of Huntsville Simulation
Conference (HSC”05), Huntsville, Alabama, Nov. 2005. · A. Watkins and W. D. Pan,
“Simulation of Hidden Message Length Estimation of LSB
Steganography,” in Proc. of Huntsville Simulation Conference
(HSC”05), Huntsville, Alabama, Nov. 2005.