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권혁준 ( Kwon Hyeokjoon ),홍다혜 ( Hong Dahye ),변상돈 ( Byeon Sangdon ),임경재 ( Lim Kyoungjae ),김종건 ( Kim Jonggun ),남창동 ( Nam Changdong ),홍은미 ( Hong Eunmi ) 한국농공학회 2021 한국농공학회논문집 Vol.63 No.3
The Doam Lake Watershed is one of Gangwon-do’s non-point source management areas. This area has a lot of snowfall in winter, and it is expected that there will be a lot of soil erosion in early spring due to snow melting. In this study, snow melting was monitored in the Doam Lake watershed from February to 3, 2020. It was conducted to analyze the water quality changes by calculating the concentration of non-point source pollution caused by snowmelt, and to compare the concentration of water quality during snowmelt event with rainfall and non-rainfall event. As a result of water quality analysis, Event Mean Concentration (EMC) at the first monitoring was SS 33.9 mg/L, TP 0.13 mg/L, TN 4.33 mg/L, BOD 1.35 mg/L, TOC 1.84 mg/L. At the second monitoring, EMC were SS 81.3 mg/L, TP 0.15 mg/L, TN 3.12 mg/L, BOD 1.32 mg/L, TOC 3.46 mg/L. In parameter except SS, it showed good water quality. It is necessary to establish management measures through continuous monitoring.
앙상블 학습 알고리즘과 인공지능 표정 인식 기술을 활용한 사용자 감정 맞춤 힐링 서비스
양성연 ( Yang Seong-yeon ),홍다혜 ( Dahye Hong ),문재현 ( Jaehyun Moon ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.2
The keyword ‘healing’ is essential to the competitive society and culture of Koreans. In addition, as the time at home increases due to COVID-19, the demand for indoor healing services has increased. Therefore, this thesis analyzes the user's facial expression so that people can receive various 'customized' healing services indoors, and based on this, provides lighting, ASMR, video recommendation service, and facial expression recording service.The user's expression was analyzed by applying the ensemble algorithm to the expression prediction results of various CNN models after extracting only the face through object detection from the image taken by the user.
엄기열(Kiyol Eom),강민구(Minkoo Kang),홍다혜(Dahye Hong),김문현(Mynhyun Kim) 한국지능시스템학회 2008 한국지능시스템학회 학술발표 논문집 Vol.18 No.1
본 연구에서는 특징점을 이용하여 지문정합을 할 때 퍼지 소속함수를 이용하여 유사정도의 정확성을 높이는 방법을 제안한다. 특징점 기반 정합 방식은 지문 정합에서 가장 널리 알려지고 널리 사용되는 방법 중에 하나이다. 그렇지만, 입력장치를 통해서 지문이 입력이 될 때 누르는 세기, 피부의 마른 정도, 피부 질환, 땅, 더러움, 기름, 공기의 습기, 뒤틀림 등과 같은 상태에 따라서 특징점들이 변형이 되거나 없어질 수 있다. 그렇지만 이러한 외부적인 원인으로 인해 특징점이 추출되지 않거나 왜곡된 특징점들이 추출되어 정확성을 떨어뜨리는 문제점이 발생할 수 있다. 따라서 본 논문에서는 퍼지 소속 함수를 이용하여 소속도를 부여함으로서 정확도를 향상시키고자 한다. This paper presents the fuzzy minutiae-based matching to improve the accuracy of the difference between template and imput fingerprint image. Minutiae-based matching method is the most well-known and widely used method for fingerprint matching. However, fingerprint pressure, dryness of the skin, skin disease, sweat, dirt, grease, and humidity in the air cause the noisy fingerprint images and the distortion is produced by users moving their fingers on the scanner surface. The input image may be rejected from the Fingerprint Recognition System, because the distorted fingerprint image is very different from the original image. Large tolerence boxes and fuzzy discriminant function is required to improve the accuracy.