• 방사성폐기물학회지
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• 제17권4호
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• pp.447-457
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• 2019

일본에서는 2000년 고준위방사성폐기물의 심층처분을 위한 「특정방사성폐기물의 최종 처분에 관한 법률」을 제정하고 부지선정을 착수하였으나, 부지선정 절차에 참여를 원하는 지자체가 존재하지 않았다. 따라서, 일본 정부는 2015년 문헌조사 단계에 새로운 부지선정을 절차를 개발하고, 지자체의 공모를 촉진하고자 2017년 6월 28일 심층처분을 위한 전국규모 과학적 특성 지도를 발간하였다. 이 지도는 심층처분장 초기 혹은 개념단계에 고려되는 요건 및 기준 등을 제공하고 심층처분을 위한 적합성을 분석함으로써, 공공의 이해도 증진과 지자체와의 의견교환 등을 위해서 유용하게 활용되고 있다.

• 한국환경복원기술학회지
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• 제18권1호
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• pp.103-113
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• 2015

Korean pines(Pinus koraiensis) are one of the major plantation species in the Republic of Korea and their natural habitats range from Japan and China to Siberia. The seed of Korean pines, pine nuts, are well know for good food reserves. Due to the global changes which drive the Korean peninsula into the semi-tropical climate, current plantations and natural habitats of Korean pines are faced with the change in the environmental conditions to some extent. To anticipate suitable sites for Korean pines in the future, the location of Korean pines were extracted from the 'Map of suitable trees on a site' that provides the map of suitable trees on a site considering tree species for timber and special uses, and then MaxEnt modelling was used for generating a prediction map on the basis of statistical analysis. As a result, the order of predicted suitable sites were Kangwon-do, Kyungsangbuk-do and Chungcheongbuk-do provinces and sites with high elevation within those provinces were considered most suitable in common. The prediction map of suitable sites for Korean pines presented that suitable sites in the future decreased by 72.2% by 2050's and almost disappeared with a decrease of 92.1% by 2070's on a nationwide scale. In relation to the major production regions of pine nuts in South Korea - Gapyung gun and Yangpyung gun, Kyunggi province and Hongcheon gun, Kangwon province, suitable sites within their areas were predicted to increase by 2050's but become extinct in South Korea by 2070's. To establish a long-term countermeasures against the improvement on forest productivity quality in terms of managing national food security, the result from this study can be considered as a firm basis of predicting plantation suitability. Also, it can be used to predict the changes in supply of forest products and thereby market values in accordance with climate change scenarios.

• 대한인간공학회지
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• 제36권4호
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• pp.343-353
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• 2017

Objective: This study aims to evaluate the efficiency of two representative subway map design types, namely a diagram type and a geographical type using physiological metrics, performance metrics, and self-reported metrics, which are representative usability metrics. Background: Subway maps need to be designed in order for users to quickly search and recognize subway line information. Although most cities' subway maps currently use the diagram type designed by Henry Beck, New York City's subway map has recently been changed to the subway map type combined with the geographical type designed by Michael Hertz. However, not many studies on its efficiency are found, and the studies that are available mainly depend on questionnaire surveys or take on a subjective behavioral study type based on experts' experiences. In this regard, evaluation through a more objective method is needed. Method: This study employed usability metrics as a method to evaluate the efficiency of information search targeting the diagram type and geographical type subway maps used mostly as subway maps. To this end, physiological metrics obtained through eye tracking, task completion time, representative metric of task performance, and subjective evaluation metrics were used for the suitability evaluation of subway map designs. Results: In the result of gaze movement distance analysis, no significant difference was shown in the two design types in terms of a process finding a departure station from the starting point and a process finding a transfer station between the departure station and arrival station (destination). However, the gaze movement distance in the process finding the arrival station at the departure station was significantly shorter in the geographical type, rather than in the diagram type. The analysis of task completion time showed a result similar to the gaze movement distance analysis result. Task completion time was significantly shorter in the geographical type, rather than in the diagram type, which is in the process finding the arrival station at the departure station. In other information search processes, no significant difference was shown. As a result of subjective evaluation metrics analysis, no significant difference was revealed in the two design types. Conclusion: An analysis on the two representative subway map design types was carried out via the adoption of usability metrics. As a result, although no significant difference was shown in some information search processes, it was revealed that information search was easier in the geographical type overall. Also, it was found that usability metrics can be effectively used to evaluate the design types of subway maps. Application: The study results can be used to set design direction to offer ease in information search on subway lines. The study also can be used as a method to evaluate a subway map's design type.

• ETRI Journal
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• 제42권4호
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• pp.619-632
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• 2020

Highly dispersive S-boxes are desirable in cryptosystems as nonlinear confusion sublayers for resisting modern attacks. For a near optimal cryptosystem resistant to modern cryptanalysis, a highly nonlinear and low differential probability (DP) value is required. We propose a method based on a piecewise linear chaotic map (PWLCM) with optimization conditions. Thus, the linear propagation of information in a cryptosystem appearing as a high DP during differential cryptanalysis of an S-box is minimized. While mapping from the chaotic trajectory to integer domain, a randomness test is performed that justifies the nonlinear behavior of the highly dispersive and nonlinear chaotic S-box. The proposed scheme is vetted using well-established cryptographic performance criteria. The proposed S-box meets the cryptographic performance criteria and further minimizes the differential propagation justified by the low DP value. The suitability of the proposed S-box is also tested using an image encryption algorithm. Results show that the proposed S-box as a confusion component entails a high level of security and improves resistance against all known attacks.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.100-102
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• 2003

This system is capable of obtaining quantitative information from images using natural features on the ortho-image maps that correspond with those from topographical maps. However, the qualitative information can also be obtained because because of the excellent visibility of ortho-image maps. There are plenty of promise for the use of ortho-image maps in the next generation topographic technology because of its wider applicability within the field. In keeping with the cutting edge, we produced ortho-image maps by scanning a specified area in narrow sections using the PKNU 2: a multispectral digital aerial photographing system made by ourselves. We evaluated the precision of the ortho-image maps, and performed an evaluation of the PKNU 2 system's capacity to improve the equipment of the PKNU 2. Ortho-image maps were made using Ground Control Points (GCPs) which were obtained from digital maps and aerial photographs of the PKNU 2. Thus, we demonstrated that it was possible to produce the ortho-image maps, which has a good constant level rate of less than 1m. The PKNU 2 system needs to be improving in the sensitivity of level maintenance equipment in the evaluation in terms of performance. It is thus required to survey the GCPs precisely for an accurate study.

• 한국도로학회논문집
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• 제14권1호
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• pp.1-8
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• 2012

도로의 평면 선형은 도로의 안정성과 교통 용량과 관계가 깊다. 도로의 효율적인 유지 관리와 기준에 대한 적합성 평가를 위해서는 도로의 평면 선형을 정확하게 분석하는 방법이 필요하다. 최근 Lidar자료나 GPS를 이용한 도로의 평면 선형 연구가 진행되고 있으나 넓은 지역에서의 평면 선형 곡선 반경을 분석하기에는 여러 가지 문제점을 가지고 있다. 본 연구에서는 수치지형도의 도로중심선을 이용하여 곡선 반경이 도로 구조 시설기준에 적합한지 여부를 평가하는 도구를 GIS 상에서 구현하고자 한다. 또한 $ESRI^{(R)}$ $ArcObject^{TM}$와 프로그래밍 언어인 비주얼 베이직(Visual Basic)을 사용해 도로의 평면선형을 자동적으로 산정할 수 있는 인터페이스를 설계 구현하였다.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제1권1호
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• pp.74-82
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• 2020

Predictions of suitable habitat areas can provide important information pertaining to the risk assessment and management of alien plants at early stage of their establishment. Here, we predict the invasion potential of Muhlenbergia capillaris (pink muhly) in South Korea using five bioclimatic variables. We adopt four models (generalized linear model, generalized additive model, random forest (RF), and artificial neural network) for projection based on 630 presence and 600 pseudo-absence data points. The RF model yielded the highest performance. The presence probability of M. capillaris was highest within an annual temperature range of 12 to 24℃ and with precipitation from 800 to 1,300 mm. The occurrence of M. capillaris was positively associated with the precipitation of the driest quarter. The projection map showed that suitable areas for M. capillaris are mainly concentrated in the southern coastal regions of South Korea, where temperatures and precipitation are higher than in other regions, especially in the winter season. We can conclude that M. capillaris is not considered to be invasive based on a habitat suitability map. However, there is a possibility that rising temperatures and increasing precipitation levels in winter can accelerate the expansion of this plant on the Korean Peninsula.

• 한국농림기상학회지
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• 제18권3호
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• pp.127-134
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• 2016

사과 및 배의 재배적지 구분을 토양환경정보시스템을 통한 토양조건에 의한 재배적지값과 국립원예특작과학원에서 제작한 미래 상세 전자기후도 제공 시스템을 통한 기후조건에 의한 재배적지값을 최대저해인자법을 이용하여 통합된 적지 구분을 하였다. 사과 및 배 모두에서 통합된 적지구분은 토양의 적지 구분의 패턴과 상당히 유사하였다. 기후조건에 의거한 구분도에 비해서 토양조건에 의한 구분도가 전체적으로 상대적으로 적지의 등급이 낮은 것이 그 이유로 여겨진다. 토양조건에 있어서 적지등급을 결정하는 최종구간 값들이 상당히 높게 형성되어 있어 전체적으로 등급이 낮게 결정된 것으로 사료되어 최종구간값들의 정확도에 대한 보정이 요구된다. 최대저해인자법은 이렇게 하나의 인자의 값들이 저평가되었을 때, 그 값들이 대표화되어 전체적으로 등급의 영향을 미치는 단점을 가지고 있다고 여겨진다. 세부적 인자에 대한 최대저해인자법의 적용 및 계층분석방법(Analytic Hierarchy Process, AHP) 등의 다양한 방법론과 토양 및 기후의 세부적 요소에 근거한 실제 단위면적 당 생산량 혹은 경제적 수익 등의 실제 현장관측값들과의 보정을 통해 재배적지구분의 정확도 및 정보의 실효성을 높일 수 있을 것으로 사료된다.

• 한국측량학회지
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• 제36권5호
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• pp.423-432
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• 2018

Surface water mapping has been widely used in various remote sensing applications. Water indices have been commonly used to distinguish water bodies from land; however, determining the optimal threshold and discriminating water bodies from similar objects such as shadows and snow is difficult. Deep learning algorithms have greatly advanced image segmentation and classification. In particular, FCN (Fully Convolutional Network) is state-of-the-art in per-pixel image segmentation and are used in most benchmarks such as PASCAL VOC2012 and Microsoft COCO (Common Objects in Context). However, these data sets are designed for daily scenarios and a few studies have conducted on applications of FCN using large scale remotely sensed data set. This paper aims to fine-tune the pre-trained FCN network using the CRMS (Coastwide Reference Monitoring System) data set for surface water mapping. The CRMS provides color infrared aerial photos and ground truth maps for the monitoring and restoration of wetlands in Louisiana, USA. To effectively learn the characteristics of surface water, we used pre-trained the DeepWaterMap network, which classifies water, land, snow, ice, clouds, and shadows using Landsat satellite images. Furthermore, the DeepWaterMap network was fine-tuned for the CRMS data set using two classes: water and land. The fine-tuned network finally classifies surface water without any additional learning process. The experimental results show that the proposed method enables high-quality surface mapping from CRMS data set and show the suitability of pre-trained FCN networks using remote sensing data for surface water mapping.

• 한국수자원학회논문집
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• 제38권11호
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• pp.927-935
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• 2005

강우에 따른 토사유실은 호소내 저수용량 감소 및 탁수 등의 수질오염을 유발하기 때문에 유역관리 측면에서 중요한 인자가 된다. 최근 GIS를 활용한 토사유실평가 연구가 진행되고 있으나, 토사유실 원인지역에 대한 검토는 고려하지 않고 있다. 본 연구에서는 GIS 기반 토사유실모델을 활용하여 임하호 유역의 토사유실량을 산정하였으며, SPOT 5 고해상도 위성영상과 토지피복도 자료를 활용하여 토사유실원인지역을 검토하였다. 분석결과 토사유실이 높게 나타나는 지역의 대부분이 밭으로 확인되었으며 그 위치를 영상에서 효과적으로 확인할 수 있었다. 또한 위성영상에서 경계를 확인하기 곤란했던 밭과 과수원이 공통으로 나타나는 지역은 현장확인을 통해 그 적정성을 검토할 수 있었다.