• Title/Summary/Keyword: Learning Elements

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Road Extraction from Images Using Semantic Segmentation Algorithm (영상 기반 Semantic Segmentation 알고리즘을 이용한 도로 추출)

  • Oh, Haeng Yeol;Jeon, Seung Bae;Kim, Geon;Jeong, Myeong-Hun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.239-247
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    • 2022
  • Cities are becoming more complex due to rapid industrialization and population growth in modern times. In particular, urban areas are rapidly changing due to housing site development, reconstruction, and demolition. Thus accurate road information is necessary for various purposes, such as High Definition Map for autonomous car driving. In the case of the Republic of Korea, accurate spatial information can be generated by making a map through the existing map production process. However, targeting a large area is limited due to time and money. Road, one of the map elements, is a hub and essential means of transportation that provides many different resources for human civilization. Therefore, it is essential to update road information accurately and quickly. This study uses Semantic Segmentation algorithms Such as LinkNet, D-LinkNet, and NL-LinkNet to extract roads from drone images and then apply hyperparameter optimization to models with the highest performance. As a result, the LinkNet model using pre-trained ResNet-34 as the encoder achieved 85.125 mIoU. Subsequent studies should focus on comparing the results of this study with those of studies using state-of-the-art object detection algorithms or semi-supervised learning-based Semantic Segmentation techniques. The results of this study can be applied to improve the speed of the existing map update process.

Spatial Gap-filling of GK-2A/AMI Hourly AOD Products Using Meteorological Data and Machine Learning (기상모델자료와 기계학습을 이용한 GK-2A/AMI Hourly AOD 산출물의 결측화소 복원)

  • Youn, Youjeong;Kang, Jonggu;Kim, Geunah;Park, Ganghyun;Choi, Soyeon;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.953-966
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    • 2022
  • Since aerosols adversely affect human health, such as deteriorating air quality, quantitative observation of the distribution and characteristics of aerosols is essential. Recently, satellite-based Aerosol Optical Depth (AOD) data is used in various studies as periodic and quantitative information acquisition means on the global scale, but optical sensor-based satellite AOD images are missing in some areas with cloud conditions. In this study, we produced gap-free GeoKompsat 2A (GK-2A) Advanced Meteorological Imager (AMI) AOD hourly images after generating a Random Forest based gap-filling model using grid meteorological and geographic elements as input variables. The accuracy of the model is Mean Bias Error (MBE) of -0.002 and Root Mean Square Error (RMSE) of 0.145, which is higher than the target accuracy of the original data and considering that the target object is an atmospheric variable with Correlation Coefficient (CC) of 0.714, it is a model with sufficient explanatory power. The high temporal resolution of geostationary satellites is suitable for diurnal variation observation and is an important model for other research such as input for atmospheric correction, estimation of ground PM, analysis of small fires or pollutants.

Christian Education and Collective Responsibility for Climate Change (기후변화에 대한 '집합적 책임'과 기독교교육)

  • Lee, Inmee
    • Journal of Christian Education in Korea
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    • v.71
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    • pp.155-179
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    • 2022
  • This study aims to apply Hannah Arendt's concept of 'collective responsibility' to the Christian education on environmental issues around the world, focusing on climate change. This study prepares the concept of 'collective responsibility' and the concept of 'collective guilt' and emphasizes the fact that the current climate change problem should be seen as a political task rather than a task of personal ethics. According to Arendt's theory, Christian education activities applying 'collective responsibility' for climate change can become action. This study has four suggestions for Christian learning to understand and recognize climate change. First, presenting and justifying the anxiety and anger toward climate change in the classroom. Second, transcending self-interest (egocentrism) through "Common Sense (enlarged mentality)" in Kantian terms. Third, building education communities through 'citizen participatory education,' running communication, and conversation. Fourth, encouraging experience and practice in every education community with "faith expressing itself through love (Gal 5:6)." Then, to be sure, this refers to not only love of neighbor in Christianity but also political friendship (philia politikē). The academic significance of this study is that it is the first interdisciplinary research paper in Korea which dealt with Arendt's political theory in relation to Christian education. Although it claims to be a theoretical work that applies Arendt's political theory from a systematic theological perspective to Christian education, the author is proud that it is accompanied by practical elements that can be actualized in the education field.

A Study on the Status and Gap Analysis of Public Library in Chungcheongnam-do (충청남도 공공도서관 현황 및 격차 분석 연구)

  • Oh, Seon-Kyung
    • Journal of Korean Library and Information Science Society
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    • v.53 no.2
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    • pp.215-239
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    • 2022
  • All public libraries are local public goods and cultural infrastructures whose ideological pillars are publicly operated, free, and open to all. This identity is justified when the public library provides various knowledge information, various programs, and community space to local residents within the service area, and ultimately contributes to the cultural development of the nation and society. To this end, the country and local governments must expand the number of individuals that meet legal standards, deploy competent professionals, and provide facilities and spaces that are easy to access and use. However, if there is a gap in infrastructure and services between regional public libraries, it causes inequality in access and use of residents, which inevitably leads to information gap and cultural welfare gap. Therefore, this study was analyzed the relative gap using the location quotient, key infrastructure indicators and service indicators of public libraries of regional government in Korea and basic local government in the Chungnam region from the viewpoint that the balanced development and capacity building of public libraries must precede the establishment of a public library in Chungnam region as a life-friendly knowledge information service institution, culture enjoyment and lifelong learning space. Based on the results, a method to resolve the gap was suggested by dividing the elements of gaps in public libraries into accessibility, core infrastructure, and services, focusing on vulnerable cities and counties in the Chungnam region.

A Study on the Gap Analysis of Public Libraries in Gyeongbuk Region (경북지역 공공도서관 격차분석 연구)

  • Yoon, Hee-Yoon
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.1
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    • pp.5-25
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    • 2022
  • In most countries, public libraries are knowledge information centers, complex cultural spaces, lifelong learning facilities, and third places for local residents. The social homage spoken on the premise of this identity and socio-cultural role is the knowledge and information agora, cultural infrastructure, living room in the city, and the university of the people. However, if there is a significant gap between public libraries regardless of country or region, it will inevitably lead to information gaps, regional gaps, and cultural inequality and cultural welfare gaps among local residents. This study is regarded as the essence of regional cultural facilities and premised that the regional gap in public libraries is a factor of regional cultural gaps. Based on this premise, the gap between the location quotient, input indicators, and output indicators of public libraries of regional governments in Korea and basic local governments in the Gyeongbuk region was analyzed. And this study derived core elements through correlation and regression analysis of input and output indicators of all public libraries nationwide, developed a management model for each indicator, and suggested a plan to resolve the relative gap for public libraries by city and county in Gyeongbuk.

Content Diversity Analysis of Elementary Science Authorized Textbooks according to the 2015 Revised Curriculum: Focusing on the "Weight of an Object" Unit (2015 개정 교육과정에 따른 초등 과학 검정 교과서 내용 다양성 분석 - '물체의 무게' 단원을 중심으로 -)

  • Shin, Jung-Yun;Park, Sang-Woo;Jeong, Hyeon-Ji;Hong, Mi-Na;Kim, Hyeon-Jae
    • Journal of Korean Elementary Science Education
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    • v.41 no.2
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    • pp.307-324
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    • 2022
  • This study examined the content diversity of seven authorized science textbooks by comparing the characteristics of the science concept description and the contents of inquiry activities in the "weight of objects" unit. For each textbook, the flow of concept description content and the uniqueness of the concept description process were analyzed, and the number of nodes and links and words with high connections were determined using language network analysis. In addition, for the inquiry activities described in each textbook, the inquiry subject, inquiry type, science process skill, and uniqueness were investigated. Results showed that the authorized textbooks displayed no more diversity than expected in their scientific concept description method or their inquiry activity composition. The learning elements, inclusion of subconcepts, and central words were similar for each textbook. The comparison of inquiry activities showed similarities in their contents, inquiry types, and scientific process skills. Specifically, these textbooks did not introduce any research topics or experimental methods that were absent in previous textbooks. However, despite the fact that the authorized textbook system was developed based on the same curriculum, some efforts were made to make use of its strengths. Since the sequence of subconcepts to explain the core contents differed across textbooks, this explanation process was divided into several types, and although the contents of inquiry activities were the same, the materials for inquiry activities were shown differently for each textbook to improve and overcome the difficulties in the existing experiments. These findings necessitate the continuation of efforts to utilize the strengths of certified textbooks.

Trustworthy AI Framework for Malware Response (악성코드 대응을 위한 신뢰할 수 있는 AI 프레임워크)

  • Shin, Kyounga;Lee, Yunho;Bae, ByeongJu;Lee, Soohang;Hong, Heeju;Choi, Youngjin;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.5
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    • pp.1019-1034
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    • 2022
  • Malware attacks become more prevalent in the hyper-connected society of the 4th industrial revolution. To respond to such malware, automation of malware detection using artificial intelligence technology is attracting attention as a new alternative. However, using artificial intelligence without collateral for its reliability poses greater risks and side effects. The EU and the United States are seeking ways to secure the reliability of artificial intelligence, and the government announced a reliable strategy for realizing artificial intelligence in 2021. The government's AI reliability has five attributes: Safety, Explainability, Transparency, Robustness and Fairness. We develop four elements of safety, explainable, transparent, and fairness, excluding robustness in the malware detection model. In particular, we demonstrated stable generalization performance, which is model accuracy, through the verification of external agencies, and developed focusing on explainability including transparency. The artificial intelligence model, of which learning is determined by changing data, requires life cycle management. As a result, demand for the MLops framework is increasing, which integrates data, model development, and service operations. EXE-executable malware and documented malware response services become data collector as well as service operation at the same time, and connect with data pipelines which obtain information for labeling and purification through external APIs. We have facilitated other security service associations or infrastructure scaling using cloud SaaS and standard APIs.

A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model (AI모델을 적용한 군 경계체계 지능화 방안)

  • Changhee Han;Halim Ku;Pokki Park
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.57-64
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    • 2023
  • The ROK military faces a significant challenge in its vigilance mission due to demographic problems, particularly the current aging population and population cliff. This study demonstrates the crucial role of the 4th industrial revolution and its core artificial intelligence algorithm in maximizing work efficiency within the Command&Control room by mechanizing simple tasks. To achieve a fully developed military surveillance system, we have chosen multi-object tracking (MOT) technology as an essential artificial intelligence component, aligning with our goal of an intelligent and automated surveillance system. Additionally, we have prioritized data visualization and user interface to ensure system accessibility and efficiency. These complementary elements come together to form a cohesive software application. The CCTV video data for this study was collected from the CCTV cameras installed at the 1st and 2nd main gates of the 00 unit, with the cooperation by Command&Control room. Experimental results indicate that an intelligent and automated surveillance system enables the delivery of more information to the operators in the room. However, it is important to acknowledge the limitations of the developed software system in this study. By highlighting these limitations, we can present the future direction for the development of military surveillance systems.

Development of an Automatic Tempo-Regulating Smartphone Application Using MIDI Playback Functions For Musical Instrument Practice (스마트폰 MIDI 재생 기능을 활용한 속도 증가 악기 연습 애플리케이션 개발)

  • Shim, In-Sup
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.8
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    • pp.143-150
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    • 2019
  • Playing musical instruments has long been a hobby enjoyed by many, whether amateur or professional. However, a lot of long and arduous practice is required if one wants to acquire the skills of musical artist and truly enjoy the pleasure of playing. This repetitive and tedious practice is often a hindrance to the process of learning a musical instrument, and numerous educators have put a lot of research and effort into making the process easier and more fun for students. In addition, various media practice tools are being developed to keep the students engaged and having fun. The core elements of this content primarily include controlling the speed of backing tracks in accordance with the skill level of students and providing a backing ensemble that enables them to enjoy the fun of playing. This paper studies and compares various MIDI playback techniques capable of controlling speed and pitch in smartphone applications. Modern applications of these techniques are seen in music educational contents, as well as entertainment contents. It also discusses the development and launching of Upbeat, a drum-loop metronome that automatically increases speed by applying different techniques to its respective smartphone operating systems, Android OS and iOS.

Job Analysis of Visiting Nurses in the Process of Change Using FGI and DACUM (변화의 과정에 있는 방문간호사의 직무분석: FGI와 DACUM을 적용하여)

  • Kim, Jieun;Lee, Insook;Choo, Jina;Noh, Songwhi;Park, Hannah;Gweon, Sohyeon;Lee, kyunghee;Kim, Kyoungok
    • Research in Community and Public Health Nursing
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    • v.33 no.1
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    • pp.13-31
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    • 2022
  • Purpose: This study conducted a job analysis of visiting nurses in the process of change. Methods: Participants were the visiting nurses working for the Seoul Metropolitan city. On the basis of the Public Health Intervention Wheel model, two times of the focus group interview (FGI) with seven visiting nurses and one time of the Developing a Curriculum (DACUM) with 34 visiting nurses were performed. A questionnaire survey of 380 visiting nurses was conducted to examine the frequency, importance and difficulty levels of the tasks created by using the FGI and DACUM. Results: Visiting nurses' job was derived as the theme of present versus transitional roles. The present role was categorized as 'providing individual- and group-focused services' and 'conducting organization management', while the transitional role was categorized as 'providing district-focused services' and 'responding to new health issues'. The job generated 13 duties, 28 tasks, and 73task elements. The tasks showed the levels of frequency (3.65 scores), importance (4.27 scores), and difficulty (3.81 scores). All the tasks were determined as important, exceeding the average 4.00 scores. The group- and district-focused services of the tasks were recognized as more difficult but less frequent tasks. Conclusion: The visiting nurses exert both present and transitional roles. The transitional roles identified in the present study should be recognized as an extended role of visiting nurses in accordance with the current changing healthcare needs in South Korea. Finally, the educational curriculum for visiting nurses that reflects the transitional roles from the present study is needed.