• 제목/요약/키워드: Sites classification

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조사 대상 부지 신규 분류 체계 제안 및 개황조사 강화를 통한 토양정밀조사 방법 개선 연구 (Improvement of Detailed Soil Survey Guidance through the New Site Classification System and Reinforcement of Exploratory Soil Survey)

  • 권지철;이군택;황상일;김태승;윤정기;김지인
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제20권7호
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    • pp.53-60
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    • 2015
  • This study suggested the new site classification system according to land use, type of contamination and contaminants. Because the present site classification system can not cover all the areas, we changed the concept of land use to more detail one and enlarged the concept of other areas to cover all the areas not defined as certain land use. In case of the present industrial area, it was merged as other areas to avoid the confusion with oil and toxic material storage tank farm area. Accident area was separated from other areas and defined as only accident area caused by the mobile storage facility. In addition to classify the sites according to the basic land use, we classify the sites again in lower level according to the type of contamination and contaminants. With this classification system, we proposed different soil sampling strategy with the consideration of the origin of contamination and the interactions between soil and contaminants. We removed the surface soil sample (0~15 cm depth) around above storage tank because it was not a effective sample to assess whether that area contaminated or not. We also proposed to take the deeper soil samples at minimum three sampling points to confirm the depth of contamination in exploratory soil survey. We also proposed to remove the one point of 15 m depth sampling because it is not effective to confirm contaminated soil depth and needs the exhausted labor and cost. Instead of doing this, we added the continuous sampling to uncontaminated subsoil. Soil sampling points and depth in detailed soil survey is determined based on the results of exploratory soil survey. Therefore, effectiveness and reinforcements of exploratory soil survey would play an important role in improving the reliability of detailed soil survey.

기반암 깊이와 토층 평균 전단파속도를 이용한 국내 지반분류 방법 및 지반 증폭계수 개선 (Development of Site Classification System and Modification of Site Coefficients in Korea Based on Mean Shear Wave Velocity of Soil and Depth to Bedrock)

  • 김동수;이세현;윤종구
    • 대한토목학회논문집
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    • 제28권1C호
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    • pp.63-74
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    • 2008
  • 본 논문에서는 국내 125개 지반에 대한 지층 구성, 전단파속도 주상도, 기반암 깊이 등을 기존 자료의 수집 및 부분 시험 수행을 통해 확보하여 지진응답해석을 수행하였고, 이를 바탕으로 기반암이 얕아 대부분의 지반조사가 기반암까지 이루어지는 국내 지반조건에 적합하도록 기반암 깊이와 토층 평균 전단파속도를 동시에 고려하는 2-매개변수 지반분류 방법을 새롭게 제안하였다. 우선, 기반암 깊이(H)에 대해 10m와 20m를 경계 값으로 설정하여 $H_1$ 지반(H<10m), $H_2$ 지반($10m{\leq}H<20m$) 그리고 $H_3$ 지반($H{\geq}20m$)으로 분류하고 이후, 토층 평균 전단파속도($V_{s,soil}$)를 추가 변수로 하여 총 7개의 지반그룹으로 세분화 하였다. 또한 각 지반그룹에 대하여, 지진응답해석 결과로부터 획득한 지반 증폭계수의 경향성과 그 분산정도를 분석하여 새로운 지반분류 방법의 타당성을 입증하고, 각 지반그룹별 대표 지반 증폭계수 및 설계응답스펙트럼도 함께 제안하였다. 제안된 지반 증폭계수와 이를 대표하는 추세선은 암반노두 가속도의 변화에 따른 지반의 비선형성을 일정한 경향성과 함께 효율적으로 표현하고 있다. 또한 지진응답해석으로부터 획득한 스펙트럴 가속도의 평균값과 제안된 설계응답스펙트럼을 비교한 결과, 일부 지반그룹에서 차이가 발생하였고, 추후 지반 증폭계수 계산을 위한 적분구간을 국내 지반조건에 적합하도록 개선할 필요가 있음을 확인하였다.

피에조콘을 이용한 국내 지반 흙의 분류 (Soil Classification from Piezocone Penetration Test in Korea)

  • 이선재;정충기;김명모
    • 한국지반공학회지:지반
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    • 제14권4호
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    • pp.163-176
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    • 1998
  • 피에조콘 관입시험을 흙의 분류에 활용할 목적으로 그 결과와 흙의 기본적 특성 치와의 상관관계를 이용한 여러 분류도표들이 개발되었다. 그러나. 이 도표들은 외국의 제한된 지역의 시험결과들을 토대로 만들어졌기 때문에 검증없이 국내 지반에 적용하기에는 무리가 있다. 이 연구에서는 국내 여러 지역에서 총 41회의 피에조콘 관입시험을 실시하였으며, 그 결과와 흙의 종류별 특성과의 상관관계를 분석하고 기존 분류도표에 대한 적용성을 검토한 후, 이를 보완하여 국내 지반의 지역성에 맞는 퍼에조콘 시험을 위한 새로운 분류도표를 통일분류법에 근거하여 개발하였다.

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내진설계기준의 지반분류체계 및 설계응답스펙트럼 개선을 위한 연구 - (I) 데이터베이스 및 지반응답해석 (Site Classification and Design Response Spectra for Seismic Code Provisions - (I) Database and Site Response Analyses)

  • 조형익;;김동수
    • 한국지진공학회논문집
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    • 제20권4호
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    • pp.235-243
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    • 2016
  • Korea is part of a region of low to moderate seismicity located inside the Eurasian plate with bedrock located at depths less than 30 m. However, the spectral acceleration obtained from site response analyses based on the geologic conditions of inland areas of the Korean peninsula are significantly different from the current Korean seismic code. Therefore, suitable site classification scheme and design response spectra based on local site conditions in the Korean peninsula are required to produce reliable estimates of earthquake ground motion. In this study, site-specific response analyses were performed at more than 300 sites with at least 100 sites at each site categories of $S_C$, $S_D$, and $S_E$ as defined in the current seismic code in Korea. The process of creating a huge database of input parameters - such as shear wave velocity profiles, normalized shear modulus reduction curves, damping curves, and input earthquake motions - for site response analyses were described. The response spectra and site coefficients obtained from site response analyses were compared with those proposed for the site categories in the current code. Problems with the current seismic design code were subsequently discussed, and the development and verifications of new site classification system and corresponding design response spectra are detailed in companion papers (II-development of new site categories and design response spectra and III-Verifications)

The Annual Averaged Atmospheric Dispersion Factor and Deposition Factor According to Methods of Atmospheric Stability Classification

  • Jeong, Hae Sun;Jeong, Hyo Joon;Kim, Eun Han;Han, Moon Hee;Hwang, Won Tae
    • Journal of Radiation Protection and Research
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    • 제41권3호
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    • pp.260-267
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    • 2016
  • Background: This study analyzes the differences in the annual averaged atmospheric dispersion factor and ground deposition factor produced using two classification methods of atmospheric stability, which are based on a vertical temperature difference and the standard deviation of horizontal wind direction fluctuation. Materials and Methods: Daedeok and Wolsong nuclear sites were chosen for an assessment, and the meteorological data at 10 m were applied to the evaluation of atmospheric stability. The XOQDOQ software program was used to calculate atmospheric dispersion factors and ground deposition factors. The calculated distances were chosen at 400 m, 800 m, 1,200 m, 1,600 m, 2,400 m, and 3,200 m away from the radioactive material release points. Results and Discussion: All of the atmospheric dispersion factors generated using the atmospheric stability based on the vertical temperature difference were shown to be higher than those from the standard deviation of horizontal wind direction fluctuation. On the other hand, the ground deposition factors were shown to be same regardless of the classification method, as they were based on the graph obtained from empirical data presented in the Nuclear Regulatory Commission's Regulatory Guide 1.111, which is unrelated to the atmospheric stability for the ground level release. Conclusion: These results are based on the meteorological data collected over the course of one year at the specified sites; however, the classification method of atmospheric stability using the vertical temperature difference is expected to be more conservative.

뽕나무속 식물의 ITS 영역 염기서열 분석 (Analysis of ITS Nucleotide Sequences in Ribosomal DNA of Morus Species)

  • 성규병;류근섭;김호락;남학우;구태원
    • 한국잠사곤충학회지
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    • 제43권1호
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    • pp.1-8
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    • 2001
  • Nucleotide sequence in internal transcribed spacer (ITS) regions of ribosomal DNA among mulberry varieties (Morus species) were analyzed in order to identify the possibility of classification for the species. The variations in the ITS regions were compared among 9 mulberry varieties and one variety of Cudrania species as an outgroup. ITS 1 region of the varieties ranging from 219 to 220 bp in length was 49-50 bp shorter than ITS 2 region. Of 510 sites in the ITS 1 and 2 regions, 148 sites were potentially variable, of which 52% and 48% sites were distributed in ITS 1 and ITS 2 regions, respectively. By pairwise comparisons on the nucleotide sequences in the ITS 1 and 2 regions among 9 mulberry varieties, they were classified into 5 groups. Divergence values of the sequences, however, were considerably low ranging from 0 to 1.3%. Especially, there was no divergence among Backasipmunja, Chungilppong and Milsungpong and Jungyasang, Ssarigol II and Yulbon, respectively.

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다중이용시설에서의 실내공기 중 미생물 분포에 관한 연구 (Distribution and Classification of Indoor Concentration of Microorganisms in Public Buildings)

  • 김윤신;이은규;엽무종;김기영
    • 한국환경보건학회:학술대회논문집
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    • 한국환경보건학회 2002년도 춘계 국제 학술대회
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    • pp.3-5
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    • 2002
  • A measurement of indoor microorganism using Reuter Centrifugal Air Sampler(RCS) was undertaken during October 1991-February 1999 and 6-Stage Cascade Air Sampler was undertaken during May 2001-June 2001 in Seoul. The results were as follows : 1. The average of total microorganism collected on the agar strip GK-A media were, in the order, subway station, hospital, underground shopping center, department store, book store, theater, sports facility, educational institution, office building in sites. 2. The average of staphylcocci collected on the agar strip GK-S media, in the order, were subway station, underground shopping center, hospital and department store, department store, theater, office building, sports facility and educational institution in sites. 3. The average of fungus collected on the agar strip GK-HS media, in the order, were Underground hospital, shopping center, theater, subway station, department store, book store, sports facility, educational institution, and office building in sites

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웹문서분류체계의 분석 및 새로운 설계 (Analysis and Design for the System of Korean Web Document Classification)

  • 남영준
    • 한국문헌정보학회지
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    • 제32권3호
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    • pp.207-230
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    • 1998
  • 인터넷에 존재하는 웹문서와 사이트들은 충분히 학술적 가치를 갖고 있기 때문에 중요한 정보원으로 간주된다. 도서관은 이 새로운 정보원을 대상으로 도서관 이용자를 위한 새로운 검색기법과 관리기법을 개발할 필요가 증대되었다. 왜냐하면 현재 웹검색엔진에서 제공하는 분류체계는 도서관학적 관점에서 개발되지도 않았으며 또한 웹검색엔진간 분류체계의 설계원칙도 없기 때문이다. 본 논문에서는 이점에 착안하여 웹 문서를 효율적으로 검색할 수 있는 실험적인 새로운 웹문서 분류체계를 설계하였다. 설계는 해당 분류항목과 연관된 웹문서의 수와 접속비율에 근거하였으며, 설계의 수준은 1차적으로 류${\cdot}$강항목까지 제한하였다.

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토공현장 디지털맵 시계열 변화분석 프레임워크 기술개발 (Development of Framework for Digital Map Time Series Analysis of Earthwork Sites)

  • 김용건;박수열;김석
    • 한국BIM학회 논문집
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    • 제13권1호
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    • pp.22-32
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    • 2023
  • Due to the increased use of digital maps in the construction industry, there is a growing demand for high-quality digital map analysis. With the large amounts of data found in digital maps at earthwork sites, there is a particular need to enhance the accuracy and speed of digital map analysis. To address this issue, our study aims to develop new technology and verify its performance to address non-ground and range mismatch issues that commonly arise. Additionally, our study presents a new digital map analysis framework for earthwork sites that utilizes three newly developed technologies to improve the performance of digital map analysis. Through this, it achieved about 95% improvement in analysis performance compared to the existing framework. This study is expected to contribute to the improvement of the quality of digital map analysis data of earthworks.

건설 현장 CCTV 영상에서 딥러닝을 이용한 사물 인식 기초 연구 (A Basic Study on the Instance Segmentation with Surveillance Cameras at Construction Sties using Deep Learning based Computer Vision)

  • 강경수;조영운;류한국
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2020년도 가을 학술논문 발표대회
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    • pp.55-56
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    • 2020
  • The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

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