• Title/Summary/Keyword: convergence project

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The Comparative Analysis of Overseas and Domestic cases of School-based Mental Health Project: Focusing on Singapore, the U.S., and Australia (학교중심 정신건강사업의 해외(싱가포르, 미국, 호주)와 한국의 비교분석)

  • Lee, Ju-Yong;Lee, Eun-Jin;Baik, Hyung-Ui
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.789-802
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    • 2022
  • The purpose of this study is to present implications for effective operation of domestic school-based mental health services by comparing those in Singapore the United States, Australia. Based on reviewing the public data and previous article, researchers conducted a comparative study on the background, history, goal, and managing process of overseas and domestic organizations. The result of comparison in overseas cases suggests that the foundation of school-based mental health project was laid with the national health plan and detailed frame work for implementation. It was also discussed that domestic school-based mental health project is still in introduction stage, while foreign services were delivered efficiently through the leading agency and the cooperation between government ministries and institutions were active. It suggests that cooperation between government ministries, preparation of an effective operating system, and various approaches for students, guardians and teachers are need for domestic school-based mental health project.

Implementation of Git's Commit Message Complex Classification Model for Software Maintenance

  • Choi, Ji-Hoon;Kim, Joon-Yong;Park, Seong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.11
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    • pp.131-138
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    • 2022
  • Git's commit message is closely related to the project life cycle, and by this characteristic, it can greatly contribute to cost reduction and improvement of work efficiency by identifying risk factors and project status of project operation activities. Among these related fields, there are many studies that classify commit messages as types of software maintenance, and the maximum accuracy among the studies is 87%. In this paper, the purpose of using a solution using the commit classification model is to design and implement a complex classification model that combines several models to increase the accuracy of the previously published models and increase the reliability of the model. In this paper, a dataset was constructed by extracting automated labeling and source changes and trained using the DistillBERT model. As a result of verification, reliability was secured by obtaining an F1 score of 95%, which is 8% higher than the maximum of 87% reported in previous studies. Using the results of this study, it is expected that the reliability of the model will be increased and it will be possible to apply it to solutions such as software and project management.

A Study on Efficient Methods of Cadastral Resurvey Responsible Agency Operation (지적재조사 책임수행기관 운영의 효율화 방안 연구)

  • Lee, Jae-Hyuk;Hong, Sung-Eon
    • Journal of Industrial Convergence
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    • v.20 no.8
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    • pp.33-40
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    • 2022
  • In this study, we tried to suggest a plan to improve the efficiency of operation after analyzing the actual conditions by selecting case areas operated by the cadastral resurvey responsible agency system. The research results are as follows. In the evaluation of the selection of a cadastral resurvey agency, a method to raise the qualitative evaluation score was suggested. The expansion of support for the cadastral resurvey agency made it possible to automatically connect and install when the LandyGo program is updated, and suggested that prior training should be stipulated in the related regulations. In the performance of cadastral resurvey surveying and division of duties, the installation of temporary boundary monuments and determine boundary monuments should be integrated. And this suggested the direction of conserving the project cost of the cadastral resurvey agency through joint implementation. Also, in the short-term and long-term perspectives, a plan for realization of project cost distribution in connection with the expansion of the entrustment of the cadastral resurvey responsible agency was presented. If the responsible agency system is operated by reflecting the results of this research, it is expected to improve the satisfaction of the project participants and shorten the project period.

A Study on the Direction of Promoting Self-Reliant Islands Using Ocean Energy (해양에너지를 활용한 에너지 자립 섬 구축방안)

  • Lee, Woong Kyu
    • Journal of Digital Convergence
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    • v.21 no.2
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    • pp.1-7
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    • 2023
  • This study examines the policy direction for energy self-reliant islands using marine energy. In other words, it was suggested that the environmental characteristics of the ocean should be considered by conducting a strategic marine environmental impact assessment when establishing an energy-independent island project plan. It was also suggested to proceed with preemptive site selection. In particular, it was emphasized that continuous monitoring of the marine environment should be carried out during the construction and operation of the marine energy development project. In addition, I emphasized the need to seek ways to expand marine environmental impact data and to actively participate and support the residents of the island, which is important in promoting self-reliant islands using ocean energy. This can be said to have a high probability of success when the government-led smart grid project group and KEPCO collaborate with each other. The results of the study analyzed through literature review are as follows. First, active participation and support for initiatives led by residents are needed. second,. KEPCO must collaborate with specialized public institutions such as the Smart Grid Project Group. Third, a strategic marine environment impact assessment should be introduced. Fourth, continuous marine environmental impact investigations should be conducted.

Digital humanities Research Trends on Marcel Proust (마르셀 프루스트에 관한 디지털인문학적 연구 동향분석)

  • Jinyoung MIN
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.181-188
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    • 2024
  • Fueled by the digital transformation era, the 150th anniversary of Marcel Proust's birth (2021) and 100th anniversary of his death (2022) witnessed a surge in digital humanities research. This goes beyond supplementing traditional methods; it fosters new approaches like Nicolas Lagonneau's 'Proustonomics' website (archiving online/offline Proust discourse) and 'Proustographe' (quantifying and visualizing data related to Proust). The Buffalo Proust Project (2021) provided online access to materials on his life and works, while the Corr-Proust project digitized his correspondence. While Korea lacks established digital Proust research, recent analysis of academic paper vocabulary (through word frequencies and word clouds) reveals significant thematic and quantitative development around 2000, paving the way for future Korean ventures in this exciting field. Digital humanities research offers the potential to unearth new research topics, enhance efficiency, and promote international collaboration, ultimately leading to a deeper understanding of Proust and groundbreaking advancements in the field.

Analysis on Wireless Communications Environment at Lunar Surface for Lunar Exploration (달 탐사를 위한 달 표면에서의 무선통신 환경 분석)

  • Lee, Yong-Min;Lee, Byong-Sun;Ahn, Jae-Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.10
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    • pp.50-54
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    • 2014
  • Evaluation of the possible or probable effects of environmental conditions which are temperature, radiation, dust as well as other possibilities in terms of meteoroids, seismicity, and no global magnetic field has been carried out for wireless communications on the lunar surface in this paper. The results considered in this paper can be utilized as a basic information on making efficient use of the design for wireless communications system in Korean lunar exploration project.

A Study on the Issue Analysis and the IFC Compatibility Review on BIM S/W for Application of BIM in National Road Project (국도 도로공사의 BIM적용을 위한 상용소프트웨어 간 IFC 호환성 검토 및 문제점 분석에 관한 연구)

  • Yang, Jung-Min;Yang, Sung-Hoon;Choi, Won Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1304-1306
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    • 2012
  • 최근 건설 산업에서는 비용 절감과 공기 단축 등 건설 프로세스의 새로운 대안으로 BIM(Building Information Modeling)의 효용성이 널리 알려지며 대형건설사와 건축사사무소를 중심으로 BIM 적용을 위한 다양한 시도가 이뤄지고 있다. 이러한 과정은 다양한 분야의 전문가들의 협업으로 이루어지기 때문에 작업자간의 원활한 설계 정보 공유를 위해서는 각기 다른 BIM 소프트웨어에서 만들어 내는 데이터간의 정보호환이 필요하다. 이에 본 논문에서는 빌딩스마트(buildingSMART International, BSI)가 제시한 건축, 엔지니어링, 시공 분야(AEC)의 데이터 교환을 위한 국제 표준인 IFC(Industry Foundation Classes)를 이용하여 이기종 파일 간 호환성 검토 및 문제점 분석을 통해 정보모델개발의 기반자료로 활용하고자 한다.

A Study on Risk Classification of Small Plant for Safe Management of Hazardous Chemicals (유해화학물질 안전관리를 위한 중소사업장의 위험도 분류에 관한 연구)

  • Lee, Hyo-Eun;Kim, Min-Gyu;Lee, Bong-Woo
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.5
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    • pp.609-615
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    • 2021
  • Chemical accidents can happen anywhere in the world. To prevent chemical accidents, Korea introduced the Chemicals Control Act. However, Small and medium-sized businesses do not meet these regulations. Accordingly, the Ministry of Environment is providing a chemical safety management support project for Small and medium-sized businesses. However, there are many small and medium-sized businesses, and businesses that need support need priority. In this study, the risk of the plants was classified into hig h, medium, and low risk based on four methods. As a result, out of 90 plants subject to the study, high risk was 30% and medium risk was 70%. The industries with the high risk were chemical products manufacturing and paint manufacturing. The plating and printing industries showed relatively medium risk. This risk classification has the advantage that it can obtain intuitive and quick results. These studies can be used as basic data for chemical safety management of local governments and Ministry of Environment.

Chromosome-Centric Human Proteome Study of Chromosome 11 Team

  • Hwang, Heeyoun;Kim, Jin Young;Yoo, Jong Shin
    • Mass Spectrometry Letters
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    • v.12 no.3
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    • pp.60-65
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    • 2021
  • As a part of the Chromosome-centric Human Proteome Project (C-HPP), we have developed a few algorithms for accurate identification of missing proteins, alternative splicing variants, single amino acid variants, and characterization of function unannotated proteins. We have found missing proteins, novel and known ASVs, and SAAVs using LC-MS/MS data from human brain and olfactory epithelial tissue, where we validated their existence using synthetic peptides. According to the neXtProt database, the number of missing proteins in chromosome 11 shows a decreasing pattern. The development of genomic and transcriptomic sequencing techniques make the number of protein variants in chromosome 11 tremendously increase. We developed a web solution named as SAAvpedia for identification and function annotation of SAAVs, and the SAAV information is automatically transformed into the neXtProt web page using REST API service. For the 73 uPE1 in chromosome 11, we have studied the function annotaion of CCDC90B (NX_Q9GZT6), SMAP (NX_O00193), and C11orf52 (NX_Q96A22).

Context-Awareness Cat Behavior Captioning System (반려묘의 상황인지형 행동 캡셔닝 시스템)

  • Chae, Heechan;Choi, Yoona;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • Journal of Korea Multimedia Society
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    • v.24 no.1
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    • pp.21-29
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    • 2021
  • With the recent increase in the number of households raising pets, various engineering studies have been underway for pets. The final purpose of this study is to automatically generate situation-sensitive captions that can express implicit intentions based on the behavior and sound of cats by embedding the already mature behavioral detection technology of pets as basic element technology in the video capturing research. As a pilot project to this end, this paper proposes a high-level capturing system using optical-flow, RGB, and sound information of cat videos. That is, the proposed system uses video datasets collected in an actual breeding environment to extract feature vectors from the video and sound, then through hierarchical LSTM encoder and decoder, to identify the cat's behavior and its implicit intentions, and to perform learning to create context-sensitive captions. The performance of the proposed system was verified experimentally by utilizing video data collected in the environment where actual cats are raised.