scispace - formally typeset
H

Hyun Chung

Researcher at Chungnam National University

Publications -  77
Citations -  1266

Hyun Chung is an academic researcher from Chungnam National University. The author has contributed to research in topics: Welding & Gas metal arc welding. The author has an hindex of 16, co-authored 76 publications receiving 974 citations. Previous affiliations of Hyun Chung include KAIST & University of Michigan.

Papers
More filters
Journal ArticleDOI

Nanomaterials for cancer therapy and imaging

TL;DR: A wide range of nanomedicine platforms such as polymeric micelles, liposomes, dendrimers, and polymeric nanoparticles have been extensively explored for targeted delivery of anti-cancer agents, because they can accumulate in the solid tumor site via leaky tumor vascular structures and selectively deliver therapeutic payloads into the desired tumor tissue.
Journal ArticleDOI

Folate receptor-mediated intracellular delivery of recombinant caspase-3 for inducing apoptosis.

TL;DR: The potential of using folate-receptor-mediated delivery of rev-caspase-3 gene for inducing tumor cell death in a target-specific manner is suggested.
Journal ArticleDOI

Energy efficient path planning for a marine surface vehicle considering heading angle

TL;DR: In this article, a deterministic and energy-based 3D path planning method for a marine surface vehicle on a 2-dimensional (2-D: x, y) surface plane that considers ocean environmental effects and the heading angle is proposed.
Proceedings ArticleDOI

Precision calibration of fiber-optics gyroscopes for mobile robot navigation

TL;DR: In the KVH E-Core RD2100 gyros that were examined at the lab, it was found that the nonlinearity of the scale-factor and temperature dependency caused significant errors and a calibration method was proposed that reduces the resulting errors by one order of magnitude.
Journal ArticleDOI

Arctic sea route path planning based on an uncertain ice prediction model

TL;DR: In this paper, an uncertainty-based path planning model is proposed to find an optimal route under time-varying stochastic conditions, and different path planning models (stochastic vs. deterministic) are compared through simulations in two different scenarios for validation of the model.