• Title/Summary/Keyword: site selection

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A Case Study on Suitability Analysis of Solid Waste Landfill Site utilizing GIS (GIS를 활용한 폐기물 매립지의 적지분석 사례연구)

  • Lee, Jin-Duk;Yeon, Sang-Ho;Kim, Sung-Gil
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.4
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    • pp.33-49
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    • 2000
  • This research demonstrates the application of GIS to the selection of the waste landfill site through the case study of a urban area. The estimation factors for the suitability analysis of the waste landfill site were determined. The database was built through collection, input, and transformation of data. The recent land cover classification data and NDVI data which were obtained through processing of satellite imagery were incorporated into GIS data as estimation factors. The relative weights of importance among 2nd category estimation factors were determined by the pairwise comparison method. Also relative weights of 1st category estimation factors which are divided into the social-economical factor and the natural environmental factor were combined with those of 2nd category estimation factors. As the results of this case study, the suitability analysis was conducted in accordance with various estimation criteria. The highest suitability index was obtained in the case where we considered the relative weights of 2nd category estimation factors as different in the viewpoint which regards the social economical factor as important.

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Magnetic separation device for paramagnetic materials operated in a low magnetic field

  • Mishima, F.;Nomura, N.;Nishijima, S.
    • Progress in Superconductivity and Cryogenics
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    • v.24 no.3
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    • pp.19-23
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    • 2022
  • We have been developing a magnetic separation device that can be used in low magnetic fields for paramagnetic materials. Magnetic separation of paramagnetic particles with a small particle size is desired for volume reduction of contaminated soil in Fukushima or separation of iron scale from water supply system in power plants. However, the implementation of the system has been difficult due to the needed magnetic fields is high for paramagnetic materials. This is because there was a problem in installing such a magnet in the site. Therefore, we have developed a magnetic separation system that combines a selection tube and magnetic separation that can separate small sized paramagnetic particles in a low magnetic field. The selection tube is a technique for classifying the suspended particles by utilizing the phenomenon that the suspended particles come to rest when the gravity acting on the particles and the drag force are balanced when the suspension is flowed upward. In the balanced condition, they can be captured with even small magnetic forces. In this study, we calculated the particle size of paramagnetic particles trapped in a selection tube in a high gradient magnetic field. As a result, the combination of the selection tube and HGMS (High Gradient Magnetic Separation-system) can separate small sized paramagnetic particles under low magnetic field with high efficiency, and this paper shows its potential application.

A Study on the Selection and Modification of Ground Motion Based on Site Response Analysis (부지응답해석에 기반한 지반운동 선정 및 보정에 관한 고찰)

  • Hwang, Jung-Hyun;Mauk, Ji-Wook;Son, Hyeon-Sil;Ock, Jong-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.5
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    • pp.103-110
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    • 2020
  • In the recent seismic design code KDS 41 17 00, selection and modification procedures of ground motions which are used for nonlinear dynamic analyses were adopted. However, its practical applications are still limited due to the lack of literatures. This paper introduces case studies which used site-response analyses to select and modify ground motions for nonlinear dynamic analyses. Based on the case studies, design criterion for site-response analyses were reviewed thoroughly in the viewpoint of practical applications. It was found that design requirements related with bedrock motions are too conservative that ground motions are selected and modified in the excessive manner. It is especially true for low-rise building structures with period ranges including acceleration-sensitive regions. Even though surface motions have shown appropriate responses, such building structures have to re-select and re-modify ground motions based on pre-analysis procedures rather than post-ones according to the current seismic design code. Also, it was observed that building structures with soft soils under strong ground motions need more comprehensive investigations on soil properties and efficient analysis methods in order to perform site-response analyses. This is due to the fact that lack of reliabilities on soil properties and analysis methods could result in unstable site-responses.

A Study on Optimal Site Selection for Automatic Mountain Meteorology Observation System (AMOS): the Case of Honam and Jeju Areas (최적의 산악기상관측망 적정위치 선정 연구 - 호남·제주 권역을 대상으로)

  • Yoon, Sukhee;Won, Myoungsoo;Jang, Keunchang
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.18 no.4
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    • pp.208-220
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    • 2016
  • Automatic Mountain Meteorology Observation System (AMOS) is an important ingredient for several climatological and forest disaster prediction studies. In this study, we select the optimal sites for AMOS in the mountain areas of Honam and Jeju in order to prevent forest disasters such as forest fires and landslides. So, this study used spatial dataset such as national forest map, forest roads, hiking trails and 30m DEM(Digital Elevation Model) as well as forest risk map(forest fire and landslide), national AWS information to extract optimal site selection of AMOS. Technical methods for optimal site selection of the AMOS was the firstly used multifractal model, IDW interpolation, spatial redundancy for 2.5km AWS buffering analysis, and 200m buffering analysis by using ArcGIS. Secondly, optimal sites selected by spatial analysis were estimated site accessibility, observatory environment of solar power and wireless communication through field survey. The threshold score for the final selection of the sites have to be higher than 70 points in the field assessment. In the result, a total of 159 polygons in national forest map were extracted by the spatial analysis and a total of 64 secondary candidate sites were selected for the ridge and the top of the area using Google Earth. Finally, a total of 26 optimal sites were selected by quantitative assessment based on field survey. Our selection criteria will serve for the establishment of the AMOS network for the best observations of weather conditions in the national forests. The effective observation network may enhance the mountain weather observations, which leads to accurate prediction of forest disasters.

Marker Genes for in Vitro Selection of Transgenic Plants

  • Brasileiro, Ana C.M.;Aragao, Francisco J.L.
    • Journal of Plant Biotechnology
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    • v.3 no.3
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    • pp.113-121
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    • 2001
  • The use of a marker gene in a transformation process aims to give a selective advantage to the transformed cells, allowing them to grow faster and better, and to kill the non-transformed cells. In general, the selective gene is introduced into plant genome along with the genes of interest. In some cases, the marker gene can be the gene of interest that will confer an agronomic characteristic, such as herbicide resistance. In this review we list and discuss the use of the most common selective marker genes on plant transformation and the effects of their respective selective agents. These genes could be divided in categories according their mode of action: genes that confer resistance to antibiotics and herbicides; and genes for positive selection. The contention of the marker gene flow through chloroplast transformation is further discussed. Moreover, strategies to recover marker-free transgenic plants, involving multi-auto-transformation (MAT), co-transformation, site specific recombination and intragenomic relocation of transgenes through transposable elements, are also reviewed.

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Economic Analysis of Plastic Panels for Formwork Panel Selection (거푸집 패널 선정을 위한 플라스틱 패널 경제성 분석)

  • Kim, Sangyup;Lee, Dongmin;Lim, Hyunsu;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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    • pp.54-55
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    • 2017
  • Recently, plastic panels have replaced plywood panels in formwork. Since, plastic panels have excellent workability, can be re-used for over 50 times, and are lighter than Plywood. This paper aims to perform an economic analysis of plastic panels by considering unit cost, cost of form oil and the number of use. The results showed that plastic panels are more economical than plywood according to an increase in area of construction site. This result of the study can be used as a basic data for the selection of plastic formwork panels.

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Study on the region selection for the creation of the naturally favorable waterfront area (자연친화적 수변공간조성 지역선정을 위한 연구(농지조성 및 농어촌정비))

  • 김선주;양용석;안민우
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2000.10a
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    • pp.96-101
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    • 2000
  • Nowadays, everyone emphasis the important of environment. it is found that try to apply using the naturally favorable method when arrange irrigation and drainage channel. But we have no accurate standard of region selection yet. so it is make a many problem. The purpose of this study is the making of standard which is optimal region selection for the creation of the naturally favorable waterfront area. We surveyed data of twenty site in korea where are managed by the KARICO(Korea Agricultural Rural Infrastructure Corporation). We analysed the data using suitable three method(simple adding point method, subjectivity decision method, checklist method) for purpose of this study.

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Unsupervised learning with hierarchical feature selection for DDoS mitigation within the ISP domain

  • Ko, Ili;Chambers, Desmond;Barrett, Enda
    • ETRI Journal
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    • v.41 no.5
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    • pp.574-584
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    • 2019
  • A new Mirai variant found recently was equipped with a dynamic update ability, which increases the level of difficulty for DDoS mitigation. Continuous development of 5G technology and an increasing number of Internet of Things (IoT) devices connected to the network pose serious threats to cyber security. Therefore, researchers have tried to develop better DDoS mitigation systems. However, the majority of the existing models provide centralized solutions either by deploying the system with additional servers at the host site, on the cloud, or at third party locations, which may cause latency. Since Internet service providers (ISP) are links between the internet and users, deploying the defense system within the ISP domain is the panacea for delivering an efficient solution. To cope with the dynamic nature of the new DDoS attacks, we utilized an unsupervised artificial neural network to develop a hierarchical two-layered self-organizing map equipped with a twofold feature selection for DDoS mitigation within the ISP domain.