• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.508-508
• /
• 2016

하천은 지형학적으로 청?장년기에 상 중 하류부가 구별되고 유량과 하상경사의 곱으로 표현되는 유수력(stream power)에 따른 반응으로서 구간별 수리 및 하도특성이 형성된다. 산지가 국토면적의 약 70%를 차지하고 노년기 지형인 유역을 기반으로 하며, 장마 및 태풍 내습시 집중호우에 따른 홍수발생으로 말미암아 대부분 국내의 하천은 상류는 산지, 중류는 곡저평야, 하류는 충적평야를 유하함으로서 구간별로 수리 및 하도 특성이 뚜렷이 구별된다. 홍수 예방을 위한 제방 축조와 용수공급을 위한 보 등 하천 구조물이 설치되어 있으며, 하천 주변에는 배산임수의 취락형성에 따라 주거지 및 대규모 도시가 발달하면서 많은 하천교란이 유발되고 있다. 우리나라 하도 및 수리적 특성인 여울과 소 등의 미지형과 하상매몰도 등 서식환경의 특성 및 하안에 적용되고 있는 다양한 형태의 하천횡단 형상과 하도개수 등 교란 특성을 중점적으로 고려하여 하천의 물리적 특성을 정량적으로 평가할 수 있는 평가체계를 개발하였다. 하도의 물리적 특성은 유량과 하상경사를 매개변수로 하는 유수력에 의하여 변화하므로 하천 유형을 하상경사에 따라 세그먼트 분류법을 적용하여 세그먼트 M, 세그먼트 1 및 세그먼트 2,3으로 구분하고 세그먼트별 하도 및 수리 특성, 하안 및 하천교란 영역에 대한 총 10개의 정량적 평가지표를 개발하였다. 각 지표는 5등급으로 설정되어 있으며, 평가지표의 근거는 미국(EPA) 및 독일(LAWA)의 평가지표를 바탕으로 우리나라 실정에 맞게 수정하였다. 본 연구에서는 하천분류체계에 의한 하천유형의 차이를 고려할 수 있도록 개발된 하천 물리적 평가체계를 남강, 내성천, 갑천, 유등천에 적용하여 검증하고, 적용성을 평가하였다. 우리나라 하천환경의 고유한 특성을 고려한 물리적 하천환경 평가체계는 하천사업을 위한 현재의 하천환경의 진단 및 하천사업의 효과 및 분석 등에 활용할 수 있으며, 하천관리를 위한 지구지정의 정량적 기준 및 관리목표 설정 등 하천계획 설계의 실무과정에서 매우 유용하게 적용될 수 있을 것으로 판단된다.

• Journal of Broadcast Engineering
• /
• v.25 no.6
• /
• pp.854-860
• /
• 2020

Deep neural networks have shown remarkable performance in various areas, including image classification and speech recognition. The variety of data generated by augmentation plays an important role in improving the performance of the neural network. The transformation of data in the augmentation process makes it possible for neural networks to be learned more generally through more diverse forms. In the traditional field of image process, not only new augmentation methods have been proposed for improving the performance, but also exploring methods for an optimal augmentation policy that can be changed according to the dataset and structure of networks. Inspired by the prior work, this paper aims to explore to search for an optimal augmentation policy in the field of sound data. We carried out many experiments randomly combining various augmentation methods such as adding noise, pitch shift, or time stretch to empirically search which combination is most effective. As a result, by applying the optimal data augmentation policy we achieve the improved classification accuracy on the environmental sound classification dataset (ESC-50).

• Journal of the Korea Institute of Building Construction
• /
• v.22 no.5
• /
• pp.497-506
• /
• 2022

In recent years, the specialized construction industry has undergone major construction and major industries, and without considering the technical expertise of construction works, the construction industry is promoting the integration and establishment of specialized construction industries according to convenience and abolition of their own industries. As the reorganization plan causes confusion in the production structure and lacks persuasive power by aiming only for industry simplification, it is judged to be desirable to review it according to the detailed characteristics of the specialized construction industry. In this study, -to review the reorganization of a rational classification system that considers the specific nature of the specialization of specialized construction projects, the classification of construction works, major work contents and characteristics, technical expertise, and problems of largescale industry in the case of painting construction and landscaping construction was analyzed. Based on this, aspects to be considered when reorganizing the current professional construction industry classification system are identified and reasonable improvement plans for each industry are suggested.

• Journal of Korea Entertainment Industry Association
• /
• v.14 no.2
• /
• pp.237-247
• /
• 2020

Purpose: The study aimed to explore the stress experience of nursing college students. Methods: A Q-methodology to analyze the subjectivity of each item was used. 57 statements were derived from a literature review and interviews. 40 nursing college students were classified into a shape of normal distribution using a 13-point scale. Collected data were analyzed by the PC QUANL program. Results: Four types have been identified for the stress experience of nursing college students. Type I was "curriculum burden", Type II was "goal-oriented", Type III was "outsider frustration" and Type IV was "growth stagnation" Conclusion: These results can be useful for developing education programs based on the type of stress in nursing college students.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.2
• /
• pp.95-115
• /
• 2022

The purpose of this study is to transform the sub-categorization terms of the National Science and Technology Standards Classification System into technical keywords by applying a machine learning algorithm. For this purpose, AttentionMeSH was used as a learning algorithm suitable for topic word recommendation. For source data, four-year research status files from 2017 to 2020, refined by the Korea Institute of Science and Technology Planning and Evaluation, were used. For learning, four attributes that well express the research content were used: task name, research goal, research abstract, and expected effect. As a result, it was confirmed that the result of MiF 0.6377 was derived when the threshold was 0.5. In order to utilize machine learning in actual work in the future and to secure technical keywords, it is expected that it will be necessary to establish a term management system and secure data of various attributes.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.501-508
• /
• 2023

This research endeavors to categorize a diverse range of hairstyles for both men and women in South Korea using hair images and subsequently generate 3D hair models based on this classification. The classification process relies on prominent visual features, resulting in the division of hairstyles into 14 distinct categories, including six styles for men and eight styles for women. By accurately matching the most appropriate hairstyle to the given hair image, the study aims to provide recommendations for the necessary hair models required for metaverse authoring tools, thus enabling realistic hair styling. This capability can be effectively utilized on platforms like metaverse, allowing users to seamlessly find and apply the 3D hair model that closely resembles their remotely captured or pre-existing hair images. Through this innovative approach, users can be presented with the most similar 3D hair model, enhancing their virtual hairstyling experience.

• The Journal of the Korea Contents Association
• /
• v.20 no.4
• /
• pp.582-590
• /
• 2020

This paper aims to analyze and introduce the primary English curriculum of North Korea reformulated according to the New Educational Program. Sources for analysis are the 4th and 5th primary school English syllabus based on the New Educational Program, explanations of the New Educational Program appeared in People's Education and Kim, Jeong-Il's selected writings. The analytical sources are classified into characteristics, objectives, contents, methods and evaluation. The findings are as follows: The primary English education aims to reach to the basis of middle school English by learning English alphabets and basic English expressions. 4th graders learn basic oral English such as pronunciation, stress and intonation for the first semester and learn English alphabets and their sounds for the second semester. 5th graders learn familiar topics in English and repeatedly practice the important components of English such as pronunciation, vocabulary and grammar. The method is to maintain students' interests in English and encourage students to use classroom English. Also, structural practice is an important part of the method. Evaluation is primarily process-oriented and must motivate students to excel in English rather than fail in English.

• The Journal of Korean Academy of Sensory Integration
• /
• v.17 no.2
• /
• pp.56-68
• /
• 2019

Objective : The purpose of this study is to provide evidence for a systematic analysis of occupational therapy interventions for the activity and participation of children and adolescents with developmental disabilities. Methods : The articles used in this study were collected from the RISS, KISS, and DBpia databases. The key words used were "children and occupational therapy" "children and sensory integration," "adolescent and occupational therapy," "adolescent and sensory integration," "developmental disorder and occupational therapy," and "developmental disorder and sensory integration." The research period was limited to January 2008 to August 2018. Seven articles in total were selected for systematic analysis. Results : Most of the included works were single-case studies, and most subjects dealt with the autism spectrum disorder. The majority of the interventions used involved sensory integration. Occupational therapy interventions were self-care (33%), major life area (33%), learning and application (11%), communication (11%), and mobility (11%). Conclusion : This study will help with understanding the current state of occupational therapy interventions for the activity and participation. On the basis of this understanding, various studies on this subject are expected to be conducted in the future.

• Journal of the Korea Institute of Building Construction
• /
• v.18 no.6
• /
• pp.595-602
• /
• 2018

Network-based scheduling methods can be classified into CPM method and PERT method. In the network scheduling chart, critical path can be estimated by performing the forward calculation and the backward calculation though the paths in the network chart. In PERT method, however, it is unreasonable to simply estimate the critical path by adding the sum of the activity durations in a specific path, since it does not incorporate probabilistic concept of PERT. The critical path of a PERT network can change according to the target period and deviation, and in some cases, the expected time of the critical path may not be the path with longest expected time. Based on this concept, this study proposes a technique to derive the most-likely critical path by comparing the sum of estimated time with the target time. It also proposes a method of systematically deriving all alternate paths for a network of repetitive activities. Case studies demonstrated that the most-likely critical path is not a fixed path and may vary according to the target period and standard deviation. It is expected that the proposed method of project duration forecasting will be useful in construction environment with varying target date situations.

• Education of Primary School Mathematics
• /
• v.24 no.1
• /
• pp.1-20
• /
• 2021

Factors influencing mathematics academic achievement are constantly changing and have direct and indirect effects on mathematics achievement, so longitudinal studies that can predict and analyze their growth are needed. This study uses longitudinal data on students from 2011 (5th grade of elementary school) to 2015 (2nd grade of middle school) of the Seoul Education Longitudinal Study, and divides them into groups with similar longitudinal changes in mathematics academic achievement. The direct and indirect effects of learning attitudes and achievement goals were examined. As a result of the study, it was found that learning effort and learning attitude had a direct effect on mathematics achievement in 1 group (2277 students, 67.7%), and learning attitude had a direct effect on mathematics achievement in 3 groups (958 students, 28.5%). And it was found that learning effort h ad an indirect effect. In addition, it was found that both learning attitudes, learning efforts, and achievement goals had no effect on the academic achievement of mathematics in the second group (127 students, 3.8%).