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기계학습을 통한 주간 반투명 구름탐지 연구: GK-2A/AMI를 이용하여
변유경,진동현,성노훈,우종호,전우진,한경수,Byeon, Yugyeong,Jin, Donghyun,Seong, Noh-hun,Woo, Jongho,Jeon, Uujin,Han, Kyung-Soo 대한원격탐사학회 2022 大韓遠隔探査學會誌 Vol.38 No.6
Clouds are composed of tiny water droplets, ice crystals, or mixtures suspended in the atmosphere and cover about two-thirds of the Earth's surface. Cloud detection in satellite images is a very difficult task to separate clouds and non-cloud areas because of similar reflectance characteristics to some other ground objects or the ground surface. In contrast to thick clouds, which have distinct characteristics, thin transparent clouds have weak contrast between clouds and background in satellite images and appear mixed with the ground surface. In order to overcome the limitations of transparent clouds in cloud detection, this study conducted cloud detection focusing on transparent clouds using machine learning techniques (Random Forest [RF], Convolutional Neural Networks [CNN]). As reference data, Cloud Mask and Cirrus Mask were used in MOD35 data provided by MOderate Resolution Imaging Spectroradiometer (MODIS), and the pixel ratio of training data was configured to be about 1:1:1 for clouds, transparent clouds, and clear sky for model training considering transparent cloud pixels. As a result of the qualitative comparison of the study, bothRF and CNN successfully detected various types of clouds, including transparent clouds, and in the case of RF+CNN, which mixed the results of the RF model and the CNN model, the cloud detection was well performed, and was confirmed that the limitations of the model were improved. As a quantitative result of the study, the overall accuracy (OA) value of RF was 92%, CNN showed 94.11%, and RF+CNN showed 94.29% accuracy.
차량용 콘솔 스위치 설계를 위한 감성평가 방법에 관한 연구
김성경(Seongkyung Kim),노삼종(Samjong Noh),김정한(Junghan Kim),윤상구(Sangkoo Yun),박노훈(Nohhoon Park) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11
Many of the functions on the car, and driver"s attention distraction is on the increases. In normal operation devices, the device to manipulate the functions that are one-to-one correspondence. Many features integrated into operations to manipulate the device showing the benefits in terms of input space utilization and integration into a unified system that is the trend. However, the user"s emotions did not considered in this integration process. The emotion manipulation satisfaction are decreasing. The purpose of this study is on the emotional quality that can be degraded in the process of integrating the operation device. Extract through a comparative evaluation on the existing products that can be commonly applied to the user"s emotional sensibilities indicators. Purpose is to study how to select the elements that can improve the emotional quality devices from the integrated operation designed to reflect through the process. In the future present study will be able to contribute to the evaluation of sensibility for produce a integrated operation applied device for depending on the circumstances and the target.
Sentinel-2A 위성자료를 활용한 선박 및 후류 탐지 개선
전우진 ( Uujin Jeon ),서민지 ( Minji Seo ),성노훈 ( Noh-hun Seong ),최성원 ( Sungwon Choi ),심수영 ( Suyoung Sim ),변유경 ( Yugyeong Byeon ),한경수 ( Kyung-soo Han ) 대한원격탐사학회 2021 大韓遠隔探査學會誌 Vol.37 No.3
최근 증가된 해상 교통량의 영향으로 지속적으로 발생하는 선박사고에 대한 신속한 탐지 및 대처가 필요하다. 이를 위해, 광역 범위로 실시간 모니터링이 가능한 위성영상을 기반으로 선박탐지 연구가 활발히 수행되고 있다. 그러나, 분광특성을 활용하여 선박탐지를 수행한 선행연구에서는 후류(Wake) 제거를 수행하지 않아 후류가 선박으로 오탐지될 가능성이 존재한다. 이에 본 연구에서는 Ship Detection Index (SDI)를 이용하여 Sentinel-2A/Multispectral Instrument (MSI) 위성영상에서 선박탐지를 수행하고 선박과 후류의 분광특성 차이를 기반으로 하는Wake Detection Index (WDI)를 활용하여 후류를 제거하였다. 본 연구의 선박탐지 알고리즘의 정확도 검증을 위해 Probability of detection (POD), False alarm rate (FAR) 지수를 활용하였으며, 검증 결과 SDI만 적용한 결과에 비해 POD는 유사하게 나타나고 FAR는 6.4% 개선되었다. It is necessary to quickly detect and respond to ship accidents that occur continuously due to the influence of the recently increased maritime traffic. For this purpose, ship detection research is being actively conducted based on satellite images that can be monitored in real time over a wide area. However, there is a possibility that the wake may be falsely detected as a ship because the wake removal is not performed in previous studies that performed ship detection using spectral characteristics. Therefore, in this study, ship detection was performed using SDI (Ship Detection Index) based on the Sentinel-2A satellite image, and the wake was removed by utilizing the difference in the spectral characteristics of the ship and the wake. Probability of detection (POD) and false alarm rate (FAR) indices were used to verify the accuracy of the ship detection algorithm in this study. As a result of the verification, POD was similar and FAR was improved by 6.4% compared to the result of applying only SDI.
촉각적 피드백 방식에 따른 Thumbwheel 장치의 조작감 연구
유일선(Ilsun Rhiu),진병기(Byungki Jin),이지환(Jihwan Lee),박노훈(Noh-Hoon Park),공준호(Junho Gohng),윤명환(Myung Hwan Yun) 한국HCI학회 2011 한국HCI학회 학술대회 Vol.2011 No.1
본 연구의 목적은 햅틱 피드백에 기반한 썸휠 디바이스 사용 시 사용자가 느끼는 조작감성을 구조화하고 조작감에 영향을 주는 주요 설계 요소를 파악하는 것이다. 먼저 문헌 조사 및 전문가 리뷰를 통해 조작감 관련 감성 변수를 수집하여 pilot-test 를 통하여 조작감에 영향을 주는 주요 감성 변수 5 개를 추출하였고, 햅틱 피드백의 설계 변수를 파악하여 직교계획법에 기반한 총 16 가지 평가 샘플을 제작하였다. 남녀 30 명을 대상으로 7 점 척도 및 100 점 척도로 설문 평가를 수행하였다. 실험 결과 명확함이 조작 만족도에 가장 긍정적인 영향을 주었고, 힘이 가장 부정적인 영향을 주었음을 알 수 있었다. 본 연구를 통하여 사용상황 및 사용 의도에 대한 요인을 고려하여 보다 구체적인 조작 감성을 파악하여 사용자 감성을 만족 시킬 수 있는 햅틱 썸휠 디바이스 제작에 기여할 수 있을 것이다. The purpose of this study is to identify the affective response of control feel for a haptic thumbwheel device on the steering wheel of an automobile. Variables related to 'satisfaction' which consists of five affective responses were selected. Thirty participants evaluated sixteen different haptic samples using a questionnaire survey with seven-point semantic differential scale and hundred-point magnitude estimation scale. Based on the survey result, 'distinctness' was identified as the most positive affective response factor for satisfaction in a haptic thumbwheel and 'strength' was the most negative affective response. Also, the relationship between 'satisfaction' and its related engineering variables were identified and modeled. It is expected that current results could suggest the suitable combinations of material properties for the maximum satisfaction.