Results 101 to 110 of about 1,787,905 (209)

Reconstructing Gap-Free Daily Remote Sensing Reflectance in the Marginal Seas Using the DINEOF Method

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ocean color remote sensing has provided extensive datasets of various bio-optical parameters, which are essential for studying marine biogeochemical processes and ecosystems. However, factors such as the clouding cover, sun glint, and wide sensor viewing
Shuyan Lang   +4 more
doaj   +1 more source

Application of GOCI to the Derivation of Ocean Fronts and Surface Currents around the Korean Peninsula

open access: yes, 2013
The Geostationary Ocean Color Imager (GOCI), the world’s first geostationary ocean color observation satellite, can be utilized efficiently and accurately to observe subtle changes in oceanic environments because it receives ocean color data around the ...
박영제, 양현, 한희정, 최종국
core  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

Seasonal and spatial variability in the absorption properties of the Korean waters and tis influence for the ocean color algorithms

open access: yes, 2015
Understanding for the light field of sea water is very important in Ocean Color Remote Sensing (OCRS) because it brings immense information concerning the ocean environmental properties. The signal recorded on the sensor is an energy leaving from the sea
민지은, 박영제, 유주형
core  

Clean Ocean Advocate, February 2009

open access: yes, 2009
The monthly Clean Ocean Advocate newsletter informs citizens about critical ocean pollution issues, important meeting dates, proposed legislation, special events, and other notes of interest.

core   +1 more source

Multirobot Aerial Soft Manipulator for Floating Litter Collection

open access: yesAdvanced Intelligent Systems, EarlyView.
A multirobot aerial manipulator enables autonomous floating litter collection by controlling the shape of a flexible rope equipped with a hook‐based tool. Adaptive rope‐shape planning enhances grasping performance while reducing tension, demonstrating the potential of aerial robots for floating litter removal. Removing floating litter from water bodies
Antonio González‐Morgado   +8 more
wiley   +1 more source

Analysis of watet-leaving reflectance models for turbid waters in the coverage of Geostationary Ocean Color Imager (GOCI)

open access: yes, 2013
The standard atmospheric correction algorithm for clear oceanic waters assumes that water-leaving radiances can be negligible at near-infrared (NIR) wavelengths. Therefore all of satellite measured radiances are assigned to aerosol radiances.
이보람, 박영제, 안재현
core  

A Bioinspired Underwater Soft Robot for Active Intravesical Liquid Delivery and Mixing

open access: yesAdvanced Intelligent Systems, EarlyView.
A bioinspired underwater soft robot is reported that integrates an elastic strain energy‐driven soft robotic pump with a programmable flexible magnetic valve, enabling remotely controlled, programmable, and sustained liquid release and mixing. This functionality is enabled by the synergistic integration of elastic strain energy‐driven pumping and ...
Jacob Katona   +7 more
wiley   +1 more source

IN-ORBIT RADIOMETRIC CALIBRATION AND PERFORMANCE ASSESSMENT OF GEOSTATIONARY OCEAN COLOR IMAGER

open access: yes, 2010
Geostationary Ocean Color Imager (GOCI) is the one of the three main payloads in Communication, Ocean and Meteorological Satellite(COMS), and it was successfully co-developed by Korea Aerospace Research Institute (KARI) and EADS Astrium in France by the ...
조성익   +3 more
core  

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

open access: yesAdvanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne   +5 more
wiley   +1 more source

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