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Dive into the research topics where Sookwang Ro is active.

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Featured researches published by Sookwang Ro.


Applications and science of neural networks, fuzzy systems, and evolutionary computation. Conference | 2004

Soft computing techniques in network packet video

Tomasz P. Jannson; Andrew A. Kostrzewski; Sookwang Ro; Thomas Forrester; Todd J. Hester

A new approach to low-bandwidth network packet video quality maximization has been proposed, based on software agent and global optimization algorithm, including: environmental factors (noise, multi-path fading); compression ratio; bit-error-correction; maximum available bandwidth; video format; and encryption. This is important for 2G-wireless RF cellular GSM visual communication, and other low-bandwidth homeland security visibility, and civilian RF WLANs.


Proceedings of SPIE | 2012

Catastrophic extraction of anomalous events

Tomasz Jannson; Thomas Forrester; Sookwang Ro; Andrew A. Kostrzewski

In this paper we discuss extraction of anomalous events based on the theory of catastrophes, a mathematical theory of continuous geometrical manifolds with discrete singularities called catastrophes. Intelligence exploitation systems and technologies include such novel data mining techniques as automatic extraction of discrete anomalous events by software algorithms based on the theory of catastrophes, that can reduce complex problems to a few essential so-called state variables. This paper discusses mostly corank-1 catastrophes with only one state variable, for simplicity. As an example we discuss mostly avionics platforms and catastrophic failures that can be recorded by flight instruments.


Proceedings of SPIE | 2001

Visual sensor network based on streaming video and IP-transparency

Andrew A. Kostrzewski; Sookwang Ro; Tomasz Jannson

A new type of wireless sensor network is discussed for the digital battlefield and network-centric warfare. This network is rapidly deployable, and has unique features specifically suited to imaging sensors (visible, IR, imaging radar, low-light) and wireless local area network applications.


Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process | 2000

Soft computing and hyperspectral video for background extraction

Tomasz P. Jannson; Paul I. Shnitser; Sergey Sandomirsky; Andrew A. Kostrzewski; Sookwang Ro

This paper presents experimental results of hyperspectral image compression by means of soft computing. Compressions and transmission of hyperspectral data requires intensive computation and sophisticated processing that have been incompatible with on-board real-time operation. Soft computing with intelligent processing optimizes the compression parameters of MPEG 1, tuning them to the specific video content to deliver the highest hyperspectral video compression quality. This soft computing approach is compared with compression based on wavelet transform.


Proceedings of SPIE, the International Society for Optical Engineering | 2000

Optical packet header processing based on joint transform correlator

Dai Hyun Kim; Andrew A. Kostrzewski; Sookwang Ro; Gajendra D. Savant; Anatoly A. Vasiliev; Tae Kwan Oh

This paper describes all-optical packet header processing by content-addressable memory and optical joint transform correlation. The results of proof-of-principle computer simulation and experiment are presented.


Applications and science of neural networks, fuzzy systems, and evolutionary computation. Conference | 2000

Soft computing, advanced video/imaging processing, and communications

Tomasz P. Jannson; Andrew A. Kostrzewski; Dai Hyun Kim; Sookwang Ro; Igor V. Ternovskiy

The progress in soft computing and soft communication (SC2) is reviewed in detail including video/imaging compression, communications, processing, sensing and networking, based on 8 B0PS distributed hardware, allowing for full video frame evaluation, in real time.


Acquisition, tracking, and pointing. Conference | 2000

Mathematical treatment of aircraft maneuvers

Dai Hyun Kim; Andrew A. Kostrzewski; Sookwang Ro; Wenjian Wang; Gajendra D. Savant; Daniel A. Erwin; Michael P. Snow

This work addresses the problem faced by an aircraft that is off its nominal flight path. The goal is to find the optimal trajectory to safely and efficiently return the aircraft to its proper path in rugged terrain. The authors approach to this problem is to consider the space of possible trajectories as a series of linked maneuvers, so that a particular trajectory can be described by the ordered list of parameters specifying the maneuvers. A penalty function is minimized with respect to variations of the maneuver parameter list. The work considered trajectories of up to three straight flight segments linked by turns. The penalty function includes terms penalizing elapsed time for the measure, distance climbed, and closest approach to the ground as well as distance from the nominal flight path at the end of the maneuver. Minimization is performed by means of an adaptive fuzzy-logic-enhanced genetic algorithm.


Archive | 2004

Panoramic video system with real-time distortion-free imaging

Andrew A. Kostrzewski; Sookwang Ro; Ii Ya Agurok; Mark Bennahmias


Archive | 2001

Multimedia sensor network

Andrew A. Kostrzewski; Sookwang Ro; Tomasz P. Jannson; Chih-Jung Judy Chen


Archive | 2011

FUNCTION-CENTRIC DATA SYSTEM

Andrew A. Kostrzewski; Sookwang Ro; Kang Lee; Thomas Forrester; Tomasz Jannzon

Collaboration


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Tomasz P. Jannson

Warsaw University of Technology

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Dai Hyun Kim

City University of New York

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Tomasz Jannson

University of Southern California

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D. Starodubov

University of Southern California

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Daniel A. Erwin

University of Southern California

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David O. Miller

Pennsylvania State University

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Igor V. Ternovskiy

Air Force Research Laboratory

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Michael P. Snow

Air Force Research Laboratory

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