• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.19 no.2
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• pp.99-108
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• 2014

One year long time-series current data were obtained at two stations (K1 and K2) located in the Usan Trough in the area north of Ulleungdo in the East Sea from September 2006. The observed data reveal enhanced seafloor flows in both stations with variabilities of about 20 days which is possibly governed by the topographic Rossby wave. After February 2007, strong flow in the upper layer in St. K1 appears throughout the mooring period and this is due to the passage of the warm eddy comparing with satellite sea surface temperature data. During this period, no significant correlation between the current in the upper layer and those in two deep layers is shown indicating the eddy does not affect flows in the deep ocean. It is also observed that the flow direction rotates clockwise with depth in both stations except for the upper of the K1. This implies that the deep flow does not parallel to the isobaths exactly and it has a downwelling velocity component. The possibility of the flow from the Japan Basin to the Ulleung Basin across the Usan Trough is not evidenced from the data.

• Korean Journal of Plant Resources
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• v.19 no.2
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• pp.331-335
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• 2006

This experiment was conducted to investigate the effect of deep sea water on fruit quality and yield of tomato. In the deep sea water treatments, fruit growth and weight were decreased as the concentration of deep sea water increased. Especially, the fresh weight of second truss was decreased significantly than first truss. Soluble solid content was increased significantly in higher concentration treatment especially at 30mM and 40mM treatment. That was increased more in the first than in the second truss fruits. Most of hexose in fruits were glucose and fructose. The reason of increased glucose and fructose contents was the decline of growth because of salinity stress by deep sea water treatment. however deep sea water treatment increased the lycopene content, especially in 20mM treatment. It is assumed that deep sea water treatment cause induction and promotion of ethylene. The higher concentration of deep sea water to the solution, the eater fruit quality improvement was noticed. However, proportional yield reduction accompanied concentration, 20mM deep sea water improved fruit quality without a significant yield reduction. The Re content was the highest among ginsenosides in all treatments. The contents total of ginsenosides in all treatments, except EC 8 treatment, was higher than those in the controlled treatment. The PT/PD value was 1.31 of the lowest in the EC 8 treatment and was 2.52 of the highest in the EC6 treatment. Rf contents in high increase was detected at all treated ginseng roots.

• Journal of the Korean Geographical Society
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• v.35 no.4
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• pp.565-583
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• 2000

레지오 접근법을 토대로 한 구성주의적 지리교육이 현실적 적실성을 갖기 위해서는, 첫째, 도식적 언어를 통한 상징적 표상을 지식 구성의 결과가 아닌 과정적 도구로, 또는 토론의 매개체로 전환하여야 한다. 둘째, 주제(선도) 개념을 중심으로 연계성과 위계성을 가진 개념을 조직하고, 이를 토대로 여러 차시의 내용을 연계하여 수업해야한다. 섯째, 개인적 구성보다 사회적 구성이 보다 고차적이고 심층적인 지식 구성을 가능케 한다. 따라서 구성주의 수업은 협동적.토론적인 모습일 때가 바람직하다. 넷째, 수업의 방향성과 학습의 목적성을 위해 안내자, 조력자로서 교사의 역할을 다하여야 한다. 이때 안내는 학습자 스스로 자신의 학습 목적과 방향을 판단하는 매개체로서, 그리고 사고력을 증진시키는 디딤돌로써의 안내이어야 한다. 다섯째. 선행학습에서의 구성과정과 구성맥락을 재 상기시키고, 이를 통해 구서의 지속성과 심층성을 강화하는 나선형적 구성의 절차를 반드시 밟도록 해야 한다.

• Journal of Engineering Education Research
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• v.18 no.1
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• pp.54-60
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• 2015

The purposes of the study are to investigate the effects on academic of the self-directed learning and in-depth interviewing program in engineering underachieved students. 17 students participated in program and the grade points average(GPA) of participants are less than 2.5. First, we focus on the change of academic achievement after the self-directed learning and in-depth interviewing program. According to results, it is very effective not only in improving academic achievement of the participation subject but also in increasing GPA. Second, the pre-survey and the post-survey were conducted to the participants. We found some facts from the difference between the pre and post surveys. The expectation and satisfaction about learning have improved after self-directed learning, and the participants' recognition showed the meaningful change in important factors about learning.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.1-26
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• 2017

This study aims to provide the efficient sharing and utilization method of disasters scattered by each institution and develop automated collection algorithm using web crawler for disaster information in deep web accounts. To achieve these goals, this study analyzes the logical structure of the deep web and develops algorithms to collect the information. With the proposed automatic algorithm, it is expected that disaster management will be helped by sharing and utilizing disaster safety information.

• Journal of IKEEE
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• v.25 no.1
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• pp.139-147
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• 2021

This paper introduces an image decomposition-based deep learning method and loss function to improve low-light images. In order to remove color distortion and halo artifact, illuminance channel of an input image is decomposed into reflectance and luminance channels, and a decomposition-based multiple structural deep learning process is applied to each channel. In addition, a mixed norm-based loss function is described to increase the stability and remove blurring in reconstructed image. Experimental results show that the proposed method effectively improve various low-light images.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.11a
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• pp.230-231
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• 2023

This study proposes a deep reinforcement learning-based algorithm to automatically generate a ship's passage plan. First, Busan Port and Gwangyang Port were selected as target areas, and a container ship with a draft of 16m was designated as the target vessel. The experimental results showed that the ship's passage plan generated using deep reinforcement learning was more efficient than the Q-learning-based algorithm used in previous research. This algorithm presents a method to generate a ship's passage plan automatically and can contribute to improving maritime safety and efficiency.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.273-274
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• 2017

선원의 다국적화가 이루어짐에 따라서 해기사들의 외국인 선원관리에 대한 리더십이 날로 중요시 되고 있다. 효과적인 리더와 리더십은 교육을 통해 양성되고 향상될 수 있다. 본 연구는 선원의 다국적화가 증가되고 있는 현실을 감안하여 해기사 양성 대학의 리더십 교육체계 정립을 위한 기초연구로서, 학생들이 실습시 경험한 자료를 토대로 설문 분석을 하였다. 향후 확대된 자료의 수집과 심층분석을 통해 지속적으로 심층 연구를 하고자 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.19-20
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• 2017

본 논문은 사용자제작콘텐츠 (User Created Contents, UCC)를 이용한 가상현실 (virtual reality, VR) 음향 재구성을 위한 스마트폰의 주파수응답 정규화에 관한 연구이다. 서로 다른 스마트폰들로 취득한 음향들을 연결할 때, 부자연스러운 음향이 발생하며, 이것은 주로 스마트폰별로 다른 주파수 응답에 기인한다. 이러한 문제를 해결하기 위하여 스마트폰의 주파수응답을 정규화 하는 과정이 필요하며, 본 연구에서는 심층신경망 (deep neural network)을 이용하는 방법을 제안한다. 심층신경망의 입력은 처리하고자 하는 스마트폰 음향의 스펙트럼이고 출력은 이것과 기준 스마트폰 음향의 스펙트럼과의 비율이다. 실험결과, 서로 다른 스마트폰으로 취득한 음향신호가 연결되었을 때, 객관적 및 주관적 평가를 통해 음향의 자연성이 개선됨을 확인 하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.5-8
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• 2019

단일 영상 초해상도 (Single Image Super-Resolution - SISR)기법은 카메라로 획득된 저해상도 영상에 필터 기반의 연산을 적용하여 좋은 화질의 고해상도 영상을 복원하는 과정이다. 최근에 심층 합성곱 신경망 학습의 발전에 따라 단일 영상 초해상도에 적용되는 심층 학습 기법들은 좋은 성과를 보여 주고 있다. 본 논문은 단일 영상 초해상도 성능을 개선하기 위해 웨이블릿 예측 네트워크를 효율적으로 적용하는 방법에 대해 연구하였으며, 저해상도 입력 영상의 특징을 잘 추출해내기 위해 네트워크 내부에 RDB를 적용하여 기존 방식보다 효율적으로 고해상도 영상 복원하는 기법을 제안한다. 모의실험을 통해 제안하는 방법이 기존 방법보다 화질은 약 PSNR 0.18dB만큼 우수하며 속도는 1.17배 빠른 것을 확인하였다.