• Title/Summary/Keyword: slope management

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Compensation Characteristics of WDM Signals Depending on RDPS Slope of Fiber Span in Dispersion Managed Optical Transmission Links (분산 제어 광전송 링크에서 중계 구간의 RDPS 기울기에 따른 WDM 신호의 보상 특성)

  • Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.17 no.2
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    • pp.208-217
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    • 2013
  • The optimal residual dispersion per span (RDPS) slope is induced through the analyses of the compensation characteristics of the wavelength division multiplexed (WDM) channels depending on RDPS slope in the optical links with a dispersion management (DM) and an optical phase conjugation. The simulation results show that the effective launch power of WDM is more increased and the performance difference between the channels is more decreased as RDPS slope is more increased. The simulation results also show that the effective net residual dispersion (NRD) range is more increased as RDPS slope is more increased, and consequently, it is more advantageous to use the large RDPS slope for implementing the flexible optical links.

Research on the Production of Risk Maps on Cut Slope Using Weather Information and Adaboost Model (기상정보와 Adaboost 모델을 이용한 깎기비탈면 위험도 지도 개발 연구)

  • Woo, Yonghoon;Kim, Seung-Hyun;Kim, Jin uk;Park, GwangHae
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.663-671
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    • 2020
  • Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

A Class of Multi-Factor Designs for Estimating the Slope of Response Surfaces

  • Park, Sung H.
    • Journal of Korean Society for Quality Management
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    • v.14 no.1
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    • pp.26-32
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    • 1986
  • A class of multi-factor designs for estimating the slope of second order response surfaces is presented. For multi-factor designs the variance of the estimated slope at a point is a function of the direction of measurement of the slope and the design. If we average the variance over all possible directions, the averaged variance is only a function of the point and the design. By choice of design, it is possible to make this variance constant for all points equidistant from the design origin. This property is called "slope-rotatability over all directions", and the necessary and sufficient conditions for a design to have this property are given and proved. The class of design with this property is mainly discussed.

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Economic Evaluation of Investigation Method Using Cost-Benefit Analysis (비용편익분석을 이용한 사면조사기법의 경제성 평가)

  • Kim, Yong-Soo;Jung, Soo-Jung;Ahn, Sang-Ro
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.03a
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    • pp.1076-1085
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    • 2009
  • Recent heavy rains and typhoons broke down road slopes, which caused a hazard to safety. As a result, interests in the effective investment for disaster prevention is increasing. Measures of investigation method for slope have been taken, but the financial costs have never been analysed. This study applied the cost-benefit analysis theory used in public economics to the evaluation of the financial reasonability of management for slope. By applying cost-benefit analysis to road slope investigation method, the reduction of safety costs and resulting financial benefits can be seen and it also clarifies the reasonability and investment effects of slope management.

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WEB-BASED GEOGRAPHIC INFORMATION SYSTEM FOR CUT-SLOPE COLLAPSE RISK MANAGEMENT

  • HoYun Kang;InJoon Kang;Won-Suk Jang;YongGu Jang;GiBong Han
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1260-1265
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    • 2009
  • Topographical features in South Korea is characterized that 70% of territory is composed of the mountains that can experience intense rainfall during storms in the summer and autumn. Efficient planning and management of landscape becomes utmost important since the cutting slopes in the mountain areas have been increased due to the limited construction areas for the roadway and residential development. This paper proposed an efficient way of slope management for the landslide risk by developing Web-GIS landslide risk management system. By deploying the Logistic Regression Analysis, the system could increase the prediction accuracy that the landslide disaster might be occurred. High resolution survey technology using GPS and Total-Station could extract the exact position and visual shape of the slopes that accurately describe the slope information. Through the proposed system, the prediction of damage areas from the landslide could also make it easy to efficiently identify the level of landslide risks via web-based user interface. It is expected that the proposed landslide risk management system can support the decision making framework during the identification, prediction, and management of the landslide risks.

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A Study on the Domestic Cut Slope Management Plan Reflecting Quality according to Rock Types (암종별 특성이 고려된 국내절취사면의 유지관리방안에 관한 연구)

  • Shin, Chang-Gun;Lee, So-Young;Lee, Song
    • Journal of the Korean Geotechnical Society
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    • v.24 no.2
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    • pp.37-44
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    • 2008
  • The collapse of the cut slope occurs owing to mixed effect of many variable factors such as geological, geographic, and hydraulic factors. Nevertheless, it is very difficult to evaluate the influence of the complicated geological factors on the stability of the cut slope during various management stages. This study proposes a management plan for domestic cut slope for a series of the rock masses, based on the collapse charateristics of various rock masses and management case studies.

Efficiency Evaluation of Vegetative Filter Strip for Non-point Source Pollutant at Dense Upland Areas - Focused on Non-point Source Management Area Mandae, Gaa, and Jaun Basins - (고랭지밭 밀집지역 초생대의 비점오염 저감 효율 평가 - 비점오염원 관리지역을 중심으로 (만대지구, 가아지구, 자운지구) -)

  • Jeong, Yeonji;Lee, Dongjun;Kang, Hyunwoo;Jang, Won Seok;Hong, Jiyoung;Lim, Kyoung Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.64 no.4
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    • pp.1-10
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    • 2022
  • A vegetative filter strip (VFS) is one of the best management practices (BMPs) to reduce pollutant loads. This study aims to assess the effectiveness of VFS in dense upland field areas. The study areas are agricultural fields in the Maedae (MD), Gaa (GA), and Jaun (JU) watersheds, where severe sediment yields have occurred and the Korean government has designated them as non-point management regions. The agricultural fields were divided into three or four clusters for each watershed based on their slope, slope length, and area (e.g., MD1, MD2). To assess the sediment trapping (STE) and pesticide reduction efficiency (PRE) of VFS, the Vegetative Filter Strip Modeling System (VFSMOD) was applied with three different scenarios (SC) (SC1: VFS with rye vegetation; SC2: VFS with rye vegetation and a gentle slope in VFS range; and SC3: VFS with grass mixture). For SC1, there were relatively short slope lengths and small areas in the MD1 and GA3 clusters, and they showed higher pollutant reduction (STE>50%, PRE>25%). For SC2 and SC3, all clusters in GA and some clusters (MD1 and MD3) in MD show higher pollutant reduction (>25%), while the uplands in JU still show a lower pollutant (<25%). With correlation analysis between geographic characteristics and VFS effectiveness slope and slope length showed relative higher correlations with the pollutant efficiency than a area. The results of this study implied that slope and slope length should be considered to find suitable upland conditions for VFS installations.

Correlation Analysis between Inventory data and danger grade of Cut slope in Chungcheongdo (충청도 내 일반국도 절토사면의 현황자료와 위험도간의 상관성분석)

  • Kim, Jin-Hwan;Rhee, Jong-Hyun;Kim, Seung-Hyun;Lee, Jung-Yup;Koo, Ho-Bon
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.980-983
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    • 2008
  • KICT has been carrying out inventory research on the cut slopes of national roads. Inventory research results are basic data used in cut slope management system. Inventory data are classified by general status, cut slope characteristics and inspector opinion. Cut slope inventory data are utilized to figure out dangerous slopes and decide survey ranking of detailed safety diagnostication. This paper will draw dangerous cut slope and more important inventory data in Chungcheongdo via correlation analysis.

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Development of Database System(DB/SLOPE) for Management of Cut Slope in Highway (고속도로 절토사면 관리를 위한 데이타베이스 프로그램 개발)

  • 유병옥;황영철
    • Tunnel and Underground Space
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    • v.11 no.3
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    • pp.206-216
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    • 2001
  • Many failures in cut slopes occur during and following road construction. Failures are caused, in part, by a lack of understanding of the characteristics of rock mass including its geologic structure. The stability of rock slopes is closely related to factors that include the type of rock, development of geological structures, weathering, characteristics of rock, and the shape of the geologic features. Therefore, it is very important to consider these characteristics of rock mass in the evaluation of rock slope stability. In spite of investigation from many slope failures, these information data were not systematically stored and not efficiently utilized. In this study, a Database system named DB/SLOPE was developed using Oracle for systematic management of cut slopes. The developed database system can be used to estimate of slope stability and to predict of slope failure.

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