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Jong H. Park

dblp:37/3323 · DBLP profile ↗
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11ranked-venue papers
5as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 5 first-authorSystems, architecture and hardware · 5 · 4 first-authorApplied, interdisciplinary, general and emerging computing · 2Databases, data management, data science and information retrieval · 1Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Motion planning and robot control · 73% Legged, aerial and field robots · 27%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%

Topics — the 15 heaviest of 15, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular evolution
coevolution analysis
0.012004
Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP) · Bioinform. 2004
Bioinformatics and computational biology
protein-protein interaction prediction
0.012004
Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP) · Bioinform. 2004
Bioinformatics and computational biology › protein analysis › protein-protein interaction › protein-protein interaction network analysis
protein interaction network visualization
0.012003
Visualization and analysis of protein interactions · Bioinform. 2003
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network analysis
0.012003
Visualization and analysis of protein interactions · Bioinform. 2003
Robotics › Motion planning and robot control › teleoperation
bilateral teleoperation
0.012001
Sliding-Mode-Based Impedance Controller for Bilateral Teleoperation under Varying Time-Delay · ICRA 2001
Robotics › Motion planning and robot control
teleoperation
0.012001
Sliding-Mode-Based Impedance Controller for Bilateral Teleoperation under Varying Time-Delay · ICRA 2001
Robotics › Motion planning and robot control › teleoperation › bilateral teleoperation
variable time-delay
0.012001
Sliding-Mode-Based Impedance Controller for Bilateral Teleoperation under Varying Time-Delay · ICRA 2001
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control › locomotion control › legged robot control
bipedal robot control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Legged, aerial and field robots
legged robots
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Motion planning and robot control
robot control
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Robotics › Legged, aerial and field robots › gait generation
walking pattern generation
0.011998
Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control · ICRA 1998
Bioinformatics and computational biology › protein analysis › protein-protein interaction
domain-domain interaction
0.012004
Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP) · Bioinform. 2004
Robotics › Motion planning and robot control › robot control
impedance control
0.012001
Sliding-Mode-Based Impedance Controller for Bilateral Teleoperation under Varying Time-Delay · ICRA 2001

Methods — techniques the papers use, named apart from their topics

phylogenetic tree similarity · 0.0co-evolution analysis · 0.0graph drawing · 0.0sliding mode control · 0.0impedance control · 0.0inverted pendulum mode · 0.0computed torque control · 0.0
YearPublicationVenuePosition
2004 Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP)
abstract
MOTIVATION: Interacting pairs of proteins should co-evolve to maintain functional and structural complementarity. Consequently, such a pair of protein families shows similarity between their phylogenetic trees. Although the tendency of co-evolution has been known for various ligand-receptor pairs, it has not been studied systematically in the widest possible scope. We investigated the degree of co-evolution for more than 900 family pairs in a global protein structural interactome map (PSIMAP--a map of all the structural domain-domain interactions in the PDB). RESULTS: There was significant correlation in 45% of the total SCOPs Family level pairs, rising to 78% in 454 reliable family interactions. Expectedly, the intra-molecular interactions between protein families showed stronger co-evolution than inter-molecular interactions. However, both types of interaction have a fundamentally similar pattern of co-evolution except for cases where different interfaces are involved. These results validate the use of co-evolution analysis with predictive methods such as PSIMAP to improve the accuracy of prediction based on "homologous interaction". The tendency of co-evolution enabled a nearly 5-fold enrichment in the identification of true interactions among the potential interlogues in PSIMAP. The estimated sensitivity was 79.2%, and the specificity was 78.6%. AVAILABILITY: The results of co-evolution analysis are available online at http://www.biointeraction.org
Wan Kyu Kim, Dan M. Bolser, Jong H. Park
Bioinform.3
2003 Visualization and analysis of protein interactions
abstract
SUMMARY: We have developed a new program called InterViewer for drawing large-scale protein interaction networks in three-dimensional space. Unique features of InterViewer include (1) it is much faster than other recent implementations of drawing algorithms; (2) it can be used not only for visualizing protein interactions but also for analyzing them interactively; and (3) it provides an integrated framework for querying protein interaction databases and directly visualizes the query results. AVAILABILITY: http://wilab.inha.ac.kr/protein/
Byong-Hyon Ju, Jong H. Park, Kyungsook Han
Bioinform.3
2002 InterViewer: Dynamic Visualization of Protein-Protein Interactions
Kyungsook Han, Byong-Hyon Ju, Jong H. Park
GD3
2001 Sliding-Mode-Based Impedance Controller for Bilateral Teleoperation under Varying Time-Delay
abstract
In the previous works, we have proposed new control schemes based on the sliding mode control and impedance control in order to cope with varying time delays. However, the previous controller needs local compliance to reduce contact forces between the slave and environment. In this paper, we modify the previous one to have a sliding surface for the slave include an impedance model. Since the nonlinear gain of the sliding controller is independent of the time delay as in the previous proposed controllers, it is not necessary to measure or estimate the time delay to implement the controller. The validity of the proposed control scheme is demonstrated by experiments with a 1-DOF master/slave system connected through the Internet.
Hyun C. Cho, Jong H. Park, Kyunghwan Kim, Jong O. Park
ICRA2
2000 Sliding mode control of bilateral teleoperation systems with force-reflection on the Internet
abstract
The authors previously (1999) showed that a regular sliding-mode controller is difficult to be used in bilateral teleoperation systems with varying time delay in that its nonlinear gain should be set based on the worst time delay. As an alternative to the regular sliding-mode controller, a modified sliding-mode controller was proposed to compensate the varying time delay and to guarantee its nonlinear gain to be independent of the magnitude of the time delay. In this paper, the validity of the proposed control scheme is demonstrated by a series of experiments with a 1-DOF master/slave teleoperation system. In the experiments, it is shown that the proposed controller effectively compensates the effects of the varying time delay even when the magnitude of the delay, i.e., RTT (round-trip time) in the communication line becomes as large as 4.0 s, while the performance of the regular sliding-mode controller deteriorates, especially with a large value of the force scaling factor.
Jong H. Park, Hyun C. Cho
IROS1
1999 Hybrid Control for Biped Robots Using Impedance Control and Computed-Torque Control
abstract
Proposes a hybrid control method of using the impedance control and the computed-torque control for biped robot locomotion. The computed-torque control is used for the supporting (constrained) leg. For the free leg, impedance control is used, where different values of impedance parameters are used depending on the gait phase of the biped robot. To reduce the magnitude of an impact and guarantee a stable footing when a foot contacts with the ground, the paper proposes to increase the damping of the leg drastically and to modify the reference trajectory of the leg. Computer simulations with a 3 DOF environment model for which a combination of a nonlinear and a linear compliant contact models is used, show that the proposed controller is superior to the computed-torque controllers in reducing impacts and stabilizing the footing.
Jong H. Park, Ho A. Chung
ICRA1
1999 A new approach to similarity retrieval of 2-D graphic objects based on dominant shapes
Jong H. Park, Bong S. Um
Pattern Recognit. Lett.1
1998 Biped Robot Walking Using Gravity-Compensated Inverted Pendulum Mode and Computed Torque Control
abstract
This paper proposes a model called the gravity-compensated inverted pendulum mode (GCIPM) to generate a biped locomotion pattern that is similar to the one generated by the linear inverted pendulum mode, but accommodates the free leg dynamics based upon its predetermined trajectory. When the biped locomotion based upon the linear inverted pendulum mode is applied to real biped robots, the stability of the robot is disturbed due to the fact that the neglected dynamics of free legs is not actually negligible, moving the ZMP (zero moment point) away from the presumed fixed point. The GCIPM includes the effect of the dynamics of the free leg in a simple manner This paper also presents a control method for biped robots based upon the computed torque. Simulation results show that the biped robot is more stable with the walking pattern generated by the proposed method combined with the controller than with the one by the inverted pendulum mode.
Jong H. Park, Kyong D. Kim
ICRA1
1998 ZMP trajectory generation for reduced trunk motions of biped robots
abstract
Trunk motions are typically used to stabilize the locomotion of biped robots, which can be very large in some leg trajectories. This paper proposes a method to reduce the motion range of the trunk by generating a desired trajectory of the zero-moment point (ZMP). The trajectory is determined by a fuzzy logic based upon the leg trajectories that are arbitrary selected. The resulting ZMP trajectory is similar to human's one and the ZMP continuously moves forward. The proposed scheme is simulated on a 7-degree-of-freedom biped robot. Its results indicate that the proposed ZMP trajectory increases the stability of the locomotion and thus resulting in reduction of motion range of the trunk.
Jong H. Park, Yong K. Rhee
IROS1
1991 An integrated system for knowledge sharing among heterogeneous knowledge derivation systems
Stanley Y. W. Su, Jong H. Park
Appl. Intell.2
1990 A Knowledge Representation Scheme and a Knowledge Derivation Mechanism for Achieving Rule Sharing among Heterogeneous Expert Systems
Stanley Y. W. Su, Jong H. Park
DEXA2