Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Hyoun Jin Kim"'
Autor:
Jung Hee Cheon, Kyoohyung Han, Seong-Min Hong, Hyoun Jin Kim, Junsoo Kim, Suseong Kim, Hosung Seo, Hyungbo Shim, Yongsoo Song
Publikováno v:
IEEE Access, Vol 6, Pp 24325-24339 (2018)
Controlling or accessing remotely has become a prevalent form of operating numerous types of platforms and infrastructure. An exploding number of vehicles such as drones or cars, in particular, are being controlled wirelessly or connected through net
Externí odkaz:
https://doaj.org/article/3eff6f23e14c4099bba3842dedbb6a5b
Autor:
Jaehyun Yoo, Hyoun Jin Kim
Publikováno v:
Sensors, Vol 14, Iss 12, Pp 23871-23884 (2014)
Tracking the locations and identities of moving targets in the surveillance area of wireless sensor networks is studied. In order to not rely on high-cost sensors that have been used in previous researches, we propose the integrated localization and
Externí odkaz:
https://doaj.org/article/f719ce75c8ed4553966acc8b670d8910
Publikováno v:
Sensors, Vol 14, Iss 5, Pp 8313-8329 (2014)
This paper introduces a design and implementation of a base station, capable of positioning sensor nodes using an optical scheme. The base station consists of a pulse laser module, optical detectors and beam splitter, which are mounted on a rotation-
Externí odkaz:
https://doaj.org/article/2495eb7e9f5d4482af5a37634171ee71
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 56:1602-1612
In this paper, we propose a guidance law that considers the field-of-view (FOV) limitation as well as the impact angle and time constraints. In order to develop the guidance law, we first design a desired look angle that satisfies the FOV limitation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44e7d6e2a5b5446a5593c47b89fc3ee2
https://doi.org/10.1109/taes.2019.2924175
https://doi.org/10.1109/taes.2019.2924175
Publikováno v:
Journal of Bionic Engineering. 17:229-240
Emulating periodic main wing movement of a bird for generating lift and thrust remains a significant challenge in developing a robotic bird. The sequences of main wing motion are comprised of flapping, folding, bending, and twisting. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87d9c6b2288dc6cbeffcb1a0ff029754
https://doi.org/10.1007/s42235-020-0018-3
https://doi.org/10.1007/s42235-020-0018-3
Autor:
Hyeong-Geun Kim, Hyoun Jin Kim
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:830-845
This paper presents an all-aspect guidance law that allows the missile to achieve the interception of a target at the prescribed impact angle for any initial conditions. The proposed guidance law is designed to intercept a maneuvering target without
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ab78f2b1d11cdc0fb503b52c753008
https://doi.org/10.1109/taes.2018.2865143
https://doi.org/10.1109/taes.2018.2865143
Adaptive control of a shape memory alloy actuator using neural-network feedforward and RISE feedback
Publikováno v:
International Journal of Precision Engineering and Manufacturing. 17:409-418
A This paper presents a position tracking control system for a shape memory alloy (SMA) actuator using neural network (NN) feedforward and robust integral of signum of error (RISE) feedback. Nonlinear control of SMA actuators is difficult due to mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39681db78689993bf4af8f5165256e8
https://doi.org/10.1007/s12541-016-0051-7
https://doi.org/10.1007/s12541-016-0051-7
Publikováno v:
The Journal of Korea Navigation Institute. 19:133-139
This paper surveys vision based autonomous navigation technologies for unmanned systems. Main branches of visual navigation technologies are visual servoing, visual odometry, and visual simultaneous localization and mapping (SLAM). Visual servoing pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b7195034ec12948ebee5722541875f
https://doi.org/10.12673/jant.2015.19.2.133
https://doi.org/10.12673/jant.2015.19.2.133
Publikováno v:
IET Control Theory & Applications. 9:418-427
This study proposes an improved particle filter by incorporating semi-supervised machine learning for location estimation in mobile sensor networks (MSNs). A time-varying prior model is learned online as the likelihood of particle filter in order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b82152f1815d13617b1883b16626c59
https://doi.org/10.1049/iet-cta.2014.0495
https://doi.org/10.1049/iet-cta.2014.0495
Publikováno v:
BMVC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69f89e769c03b03a02dcaa39c3e2be5e
https://doi.org/10.5244/c.31.62
https://doi.org/10.5244/c.31.62