• Title/Summary/Keyword: 망분리

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Development of QGIS plugin GUI for the GRM Model and Free Open (GRM 모형의 QGIS Plugin GUI 개발 및 모형 공개)

  • Choi, Yun Seok;Park, Sang Hoon;Kim, Kyung Tak
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.38-38
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    • 2018
  • 본 논문에서는 분포형 강우-유출 모형인 GRM(Grid based Rainfall-runoff Model)의 확장성과 편의성 향상을 위한 소프트웨어 개발에 대해서 기술하였다. 본 연구에서는 크게 3가지를 수행하였다. 첫 번째는 기존의 GRM은 HyGIS, MapWindow GIS 등과 같은 GIS 소프트웨어 및 Microsoft MDB와 코드 수준에서 통합된 형태로 개발되었으며, 이러한 특성은 GRM을 이용한 다양한 응용시스템 개발시 제약 조건으로 작용하였다. 본 연구에서는 GRM 모형을 GIS 및 데이터베스와 코드 수준에서 분리하여 GRMCore.dll을 개발하였다. GRMCore.dll은 콘솔 모드 및 GUI에서 유출해석을 실행할 수 있는 소프트웨어와 실시간 유출해석시스템 등과 같이 유출 해석을 위한 다양한 응용 소프트웨어 개발에 공통적으로 활용될 수 있다. 두 번째는 최근 들어 세계적으로 가장 많이 사용되고 있는 오픈소스 GIS 인 QGIS의 plugin으로 GRM 모형의 GUI(QGIS-GRM)를 개발하였으며, GRM 모형의 입력자료 구축을 위해 TauDEM을 이용해서 Drainage Tool을 개발하였다. Drainage Tool에서는 격자별 흐름방향, 하천망, 유역 등과 같은 수문학적 공간정보를 DEM을 이용하여 구축할 수 있다. 세 번째는 개발된 소프트웨어를 오픈소스로 공개하였다. 공개 대상은 GRM 모형, QGIS-GRM, Drainage Tool 등이며, 각 소프트웨어에 대한 매뉴얼을 포함하고 있다. 소스코드의 공개는 세계적으로 널리 이용되고 있는 오픈소스 플랫폼인 Github(https://github.com/floodmodel/)를 이용하였다. 본 연구를 통해서 기존에는 특정 소프트웨어에 코드 수준에서 의존적이던 GRM 모형의 독립성을 향상시켰으며, 이를 통해 다양한 응용 소프트웨어 개발에 대한 적용성을 높일 수 있었다. 또한 QGIS 기반의 GUI 개발, 모형 입력자료 구축 도구의 개발, 개발된 소프트웨어의 오픈소스화 등을 통해서 사용자들이 좀 더 쉽게 GRM 모형을 활용할 수 있게 하였다.

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Cyber-Threat Detection of ICS Using Sysmon and ELK (Sysmon과 ELK를 이용한 산업제어시스템 사이버 위협 탐지)

  • Kim, Yongjun;Shon, Taeshik
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.2
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    • pp.331-346
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    • 2019
  • Global cyber threats to industrial control systems are increasing. As a result, related research and cooperation are actively underway. However, we are focusing on strengthening security for physical network separation and perimeter. Internal threats are still vulnerable. This is because the easiest and strongest countermeasure is to enhance border security, and solutions for enhancing internal security are not easy to apply due to system availability problems. In particular, there are many vulnerabilities due to the large number of legacy systems remaining throughout industrial control systems. Unless these vulnerable systems are newly built according to the security framework, it is necessary to respond to these vulnerable systems, and therefore, a security solution considering availability has been verified and suggested. Using Sysmon and ELK, security solutions can detect Cyber-threat that are difficult to detect in unstructured ICS.

A Study on the Safety Improvement of PSA System for Hydrogen Separation and Purification (수소분리 및 정제를 위한 PSA(Pressure Swing Adsorption)시스템 안전성향상에 관한 연구)

  • Oh, Sang-Gyu;Lee, Seul-Gi;Lee, Jun-Seo;Ma, Byung-Chol
    • Journal of the Korean Institute of Gas
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    • v.26 no.1
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    • pp.7-19
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    • 2022
  • Hydrogen purification is generally performed through chemical and physical methods. Among various types of purification method PSA(Pressure Swing Adsorption) is widely used with its purification capacity and economic efficiency. In Korea, most of the hydrogen used in automobiles and power generation fuel cells is purified using PSA. Hydrogen produced in petrochemical complexes has difficulties in transportation. The government is planning to install hydrogen extractors that produce hydrogen directly from consumers in connection with the city gas supply chain, and companies are also installing related research and demonstration facilities one after another. Europe and others have recently established safety standards related to PSA and are making efforts for systematic safety management at the construction and operation stage, but domestic safety standards related to PSA are still insufficient. This study aims to identify problems of existing facilities through surveys and risk assessment by companies operating existing PSA, and to prepare domestic technical standards including them in overseas technical standards to promote the safety of new and existing PSA systems.

Robust Scheme of Segmenting Characters of License Plate on Irregular Illumination Condition (불규칙 조명 환경에 강인한 번호판 문자 분리 기법)

  • Kim, Byoung-Hyun;Han, Young-Joon;Hahn, Hern-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.61-71
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    • 2009
  • Vehicle license plate is the only way to check the registrated information of a vehicle. Many works have been devoted to the vision system of recognizing the license plate, which has been widely used to control an illegal parking. However, it is difficult to correctly segment characters on the license plate since an illumination is affected by a weather change and a neighboring obstacles. This paper proposes a robust method of segmenting the character of the license plate on irregular illumination condition. The proposed method enhance the contrast of license plate images using the Chi-Square probability density function. For segmenting characters on the license plate, binary images with the high quality are gained by applying the adaptive threshold. Preprocessing and labeling algorithm are used to eliminate noises existing during the whole segmentation process. Finally, profiling method is applied to segment characters on license plate from binary images.

Algorithm development for texture and color style transfer of cultural heritage images (문화유산 이미지의 질감과 색상 스타일 전이를 위한 알고리즘 개발 연구)

  • Baek Seohyun;Cho Yeeun;Ahn Sangdoo;Choi Jongwon
    • Conservation Science in Museum
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    • v.31
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    • pp.55-70
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    • 2024
  • Style transfer algorithms are currently undergoing active research and are used, for example, to convert ordinary images into classical painting styles. However, such algorithms have yet to produce appropriate results when applied to Korean cultural heritage images, while the number of cases for such applications also remains insufficient. Accordingly, this study attempts to develop a style transfer algorithm that can be applied to styles found among Korean cultural heritage. The algorithm was produced by improving data comprehension by enabling it to learn meaningful characteristics of the styles through representation learning and to separate the cultural heritage from the background in the target images, allowing it to extract the style-relevant areas with the desired color and texture from the style images. This study confirmed that, by doing so, a new image can be created by effectively transferring the characteristics of the style image while maintaining the form of the target image, which thereby enables the transfer of a variety of cultural heritage styles.

Analysis of Teachers' Awareness and Practice of Infants and Young Children's Health (영유아의 건강에 대한 교사의 인식 및 실천 분석)

  • Yu-Mi Park;Seon-Mi Park
    • Journal of the Health Care and Life Science
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    • v.11 no.2
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    • pp.261-269
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    • 2023
  • The purpose of this study was to analyze the perception and practice of young children's health, which is emphasized in the stories of early childhood teachers. To collect data, telephone interviews were conducted with 15 teachers of kindergartens and daycare centers in Daejeon and Chungnam The collected data was analyzed by text network analysis. The research results are as follows. First, the participants observed the health of young children when they went to school, and contacted parents in case of abnormal signs. Second, the participants considered it important to understand the physical condition of children, proper nutrition intake, and manage health problems according to the characteristics of institutions where many people live together. Third, in relation to the management of infectious diseases, the participants were practicing to separate the child with symptoms from others, conduct disinfection and quarantine, and contact the parentst. Finally, the participants recognized that they should be educated related to safety in preparation for emergency, familiarize themselves with manuals in emergency situations, and know first aid methods according to the situation.

Deep Learning-Based Plant Health State Classification Using Image Data (영상 데이터를 이용한 딥러닝 기반 작물 건강 상태 분류 연구)

  • Ali Asgher Syed;Jaehawn Lee;Alvaro Fuentes;Sook Yoon;Dong Sun Park
    • Journal of Internet of Things and Convergence
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    • v.10 no.4
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    • pp.43-53
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    • 2024
  • Tomatoes are rich in nutrients like lycopene, β-carotene, and vitamin C. However, they often suffer from biological and environmental stressors, resulting in significant yield losses. Traditional manual plant health assessments are error-prone and inefficient for large-scale production. To address this need, we collected a comprehensive dataset covering the entire life span of tomato plants, annotated across 5 health states from 1 to 5. Our study introduces an Attention-Enhanced DS-ResNet architecture with Channel-wise attention and Grouped convolution, refined with new training techniques. Our model achieved an overall accuracy of 80.2% using 5-fold cross-validation, showcasing its robustness in precisely classifying the health states of tomato plants.

Dynamic Network Loading Model based on Moving Cell Theory (Moving Cell Theory를 이용한 동적 교통망 부하 모형의 개발)

  • 김현명
    • Journal of Korean Society of Transportation
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    • v.20 no.5
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    • pp.113-130
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    • 2002
  • In this paper, we developed DNL(Dynamic Network Loading) model based on Moving cell theory to analyze the dynamic characteristics of traffic flow in congested network. In this paper vehicles entered into link at same interval would construct one cell, and the cells moved according to Cell following rule. In the past researches relating to DNL model a continuous single link is separated into two sections such as running section and queuing section to describe physical queue so that various dynamic states generated in real link are only simplified by running and queuing state. However, the approach has some difficulties in simulating various dynamic flow characteristics. To overcome these problems, we present Moving cell theory which is developed by combining Car following theory and Lagrangian method mainly using for the analysis of air pollutants dispersion. In Moving cell theory platoons are represented by cells and each cell is processed by Cell following theory. This type of simulation model is firstly presented by Cremer et al(1999). However they did not develop merging and diverging model because their model was applied to basic freeway section. Moreover they set the number of vehicles which can be included in one cell in one interval so this formulation cant apply to signalized intersection in urban network. To solve these difficulties we develop new approach using Moving cell theory and simulate traffic flow dynamics continuously by movement and state transition of the cells. The developed model are played on simple network including merging and diverging section and it shows improved abilities to describe flow dynamics comparing past DNL models.

Anastomosis Group, Pathogenicity and Growth Characteristics of Rhizoctonia solani Causing Damping-off on Panax ginseng (인삼 잘록병균 Rhizoctonia solani의 균사융합군과 병발생 및 생육 특성)

  • Cho, Dae-Hui;Kang, Je Yong;Yu, Yun-Hyun
    • Journal of Ginseng Research
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    • v.28 no.4
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    • pp.183-190
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    • 2004
  • On May of 2002, the 34 isolates of Rhizoctonia solani were isolated from the symptom of damping-off on basal stems of 2-year-old to 6-year-old Panax ginseng which were cultivated in the 17 fields in Kyunggi-do, Chun­gcheungnam-do and Jeollabuk-do province in Korea. All isolates were identified as anastomosis group 2-1. Pre-emer­gence damping-off occurred on underground part of stem of 2-year-old ginseng in the pot trial with artificial inoculation. However, in the 4-year-old ginseng field with artificial inoculation, post-emergence damping-off occurred. The severe incidence of damping-off was found in the 6-year-old ginseng field in Kimje-si, Jeollabuk-do province on June 5 of 2003, the rate of which showed $18.6{\%}$ of area in the field by spread of the disease since 2-year-old. The sclerotia of R. solani, started to be formed after 7 days incubation on potato dextrose agar at $25^{\circ}C,$ were grayish brown, spherical to irregular and about $500{\mu}m$ in diameter, which became dark brown after 14 days incubation. The temperature range for the myce­lial growth of R. solani isolates was $5\~30^{\circ}C,$ and the optimal temperature was $25^{\circ}C,$ their growth were very poor at $5\;or\;30^{\circ}C$. The isolates grew at the range of pH $4.5\~8.1$ tested and optimal pH for growth was pH 4.5$\~5.8%, whereas their growth were very poor above the pH 7.2.

User-Level Threads for the ARX Real-Time Operating System (ARX 실시간 운영체계를 위한 사용자 레벨 쓰레드)

  • Seo, Yang-Min;Park, Jung-Keun;Hong, Seong-Soo
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10a
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    • pp.65-67
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    • 1998
  • 내장 실시간 시스템이 높은 우선순위의 비동기적 이벤트를 적시에 처리하면서 필수적으로 적은 비용의 선점 다중쓰레드를 지원해야한다. 사용자 레벨 쓰레드는 커널 레벨 쓰레드 보다 적은 비용의 유연한 추상적 기법들을 제공하지만, 기존의 실시간 시스템에서는 스케줄링과 시그날(signal) 처리가 단순하다는 이류로 커널 레벨 쓰레드가 선호 되어왔다. 본 논문에서는 내장 실시간 시스템에 적합한 새로운 사용자 레벨 다중 쓰레드 방식을 제안한다. 이 기법은 가상 쓰레드(virtual threads)와 개선된 스케줄링 이벤트 업콜(scheduling event upcall) 메카니즘을 기반으로 한다. 가상 쓰레드는 사용자 레벨 쓰레드에게 커널 레벨의 실행 환경을 제공할 수 있도록 사용자 레벨 쓰레드를 커널 레벨로 형상화한 것이다. 이 쓰레드는 필요에 의해 잠시동안 사용자 레벨 쓰레드에 묶이는 소동적인 존재이다. 스케줄링 이벤트 업콜 메카니즘은 쓰레드 블록킹과 타이머 만기와 같은 커널 이벤트를 유저 프로세서에게 전달할 수 있게 한다. 본 논문의 개선된 업콜 방식은 scheduler activation과 시그날과 같은 전통적인 업콜 구조에서 예측하기 힘든 요소들을 배제했다. 순간적인 시스템의 과부하 상황에서도 이벤트를 놓치지 않으면서 커널과 유저 프로세서의 비싼 동기화 작업들을 피할 수 있도록 하는 잠금(lock)이 필요 없는 이벤트 큐를 상용한다. 본 기법은 서울대학교 실시간 운영체계 실험실에서 구현한 ARX위에 완벽하게 구현되었다. ARX 사용자 레벨 쓰레드가 사용자 레벨 쓰레드의 장점을 손상하지 않으면서 솔라리스와 윈도즈98과 같은 상용 운영체제의 커널 쓰레드보다 성능이 우수함을 실험적 비교에 의해서 입증한다.분에서 uronic acid를 분리동정하였을 때 점미는 0.90%, 백미는 0.66%, 흑미는 1.8%로서 흑미에서 uronic acid 함량이 두 배 이상으로 나타났다. 흑미의 uronic acid 함량이 가장 많이 용출된 분획은 sodium hydroxide 부분으로서 hemicellulose구조가 polyuronic acid의 형태인 것으로 사료된다. 추출획분의 구성단당은 여러 곡물연구의 보고와 유사하게 glucose, arabinose, xylose 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아이에서 그 주산기사망률(周産基死亡率)이 각각 가장 낮았다. 2. 사산(死産)과 초생

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