• 보존과학회지
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• 제38권4호
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• pp.334-346
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• 2022

The manufacturing technique was studied through the structure and material characteristics of the walls and the painting layers of the Avalokitesvara Bodhisattva mural of Geungnakjeon Hall, Daewonsa Temple. The mural is painted and connected to the earthen wall and the Junggit, and the wall is composed of wooden laths as a frame, the first and middle layers, the finishing layer, and the painting layer. The first layer, middle layer, and finishing layer constituting the wall were made by mixing weathered soil and sand. It was confirmed that the first layer had a high content of loess below silt, and the finishing layer had a high content of fine-sand and very fine sand. For the painting layer, a ground layer was prepared using soil-based mineral pigments, and lead white, white clay, atacamite, minium, and cinnabar (or vermilion) pigments were used on top of it. The Avalokitesvara Bodhisattva mural was confirmed to belong to a category similar to the soil-made buddhist mural paintings of Joseon Dynasty. However, it shows characteristics such as a high content of fine sand in the finishing layer and overlapping over other colors. Such material and structural characteristics can constitute important information for future mural conservation status diagnoses and conservation treatment plans.

• 로봇학회논문지
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• 제18권3호
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• pp.337-345
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• 2023

In this paper, we propose a 3D LiDAR sensor-based costmap generation and path planning algorithm using it for reliable autonomous flight in complex indoor environments. 3D path planning is essential for reliable operation of UAVs. However, existing grid search-based or random sampling-based path planning algorithms in 3D space require a large amount of computation, and UAVs with weight constraints require reliable path planning results in real time. To solve this problem, we propose a method that divides a 3D space into several 2D spaces and a path planning algorithm that considers the distance to obstacles within each space. Among the paths generated in each space, the final path (Best path) that the UAV will follow is determined through the proposed objective function, and for this purpose, we consider the rotation angle of the 2D space, the path length, and the previous best path information. The proposed methods have been verified through autonomous flight of UAVs in real environments, and shows reliable obstacle avoidance performance in various complex environments.

• 한국군사과학기술학회지
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• 제26권5호
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• pp.422-430
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• 2023

To build an automated system detecting toxic chemicals from Raman spectra, we have to obtain sufficient data of toxic chemicals. However, it usually costs high to gather Raman spectra of toxic chemicals in diverse situations. Tackling this problem, we develop methods to generate synthetic Raman spectra of DMMP and 2-CEES without actual experiments. First, we propose certain mathematical transforms to augment few original Raman spectra. Then, we train deep generative models to generate more realistic and diverse data. Analyzing synthetic Raman spectra of toxic chemicals generated by our methods through visualization, we qualitatively verify that the data are sufficiently similar to original data and diverse. For conclusion, we obtain a synthetic dataset of DMMP and 2-CEES with the proposed algorithm.

• Korean Journal of Radiology
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• 제22권8호
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• pp.1379-1396
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• 2021

Rare neurovascular diseases (RNVDs) have not been well-recognized in Korea. They involve the central nervous system and greatly affect the patients' lives. However, these diseases are difficult to diagnose and treat due to their rarity and incurability. We established a list of RNVDs by referring to the previous literature and databases worldwide to better understand the diseases and their current management status. We categorized 68 RNVDs based on their pathophysiology and clinical manifestations and estimated the prevalence of each disease in Korea. Recent advances in genetic, molecular, and developmental research have enabled further understanding of these RNVDs. Herein, we review each disease, while considering its classification based on updated pathologic mechanisms, and discuss the management status of RNVD in Korea.

• 로봇학회논문지
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• 제19권2호
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• pp.149-158
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• 2024

This paper presents a robust autonomous navigation and reconnaissance system for tracked robots, designed to handle complex multi-floor indoor environments with stairs. We introduce a localization algorithm that adjusts scan matching parameters to robustly estimate positions and create maps in environments with scarce features, such as narrow rooms and staircases. Our system also features a path planning algorithm that calculates distance costs from surrounding obstacles, integrated with a specialized PID controller tuned to the robot's differential kinematics for collision-free navigation in confined spaces. The perception module leverages multi-image fusion and camera-LiDAR fusion to accurately detect and map the 3D positions of objects around the robot in real time. Through practical tests in real settings, we have verified that our system performs reliably. Based on this reliability, we expect that our research team's autonomous reconnaissance system will be practically utilized in actual disaster situations and environments that are difficult for humans to access, thereby making a significant contribution.

• Nuclear Engineering and Technology
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• 제56권1호
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• pp.70-77
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• 2024

A low energy ion irradiation system based on the deuterium arc ion source with a high perveance of 1 µP for a single extraction aperture has been successfully developed for the investigation of ion irradiation on plasma-facing components including the first mirror of plasma optical diagnostics system. Under the optimum operating condition for mirror testing, the ion source has a beam energy of 200 eV and a current density of 3.7 mA/cm². The ion source comprises a magnetic cusp-type plasma source, an extraction system, a target system with a Faraday cup, and a power supply control system to ensure stable long time operation. Operation parameters of plasma source such as pressure, filament current, and arc power with D₂ discharge gas were optimized for beam extraction by measuring plasma parameters with a Langmuir probe. The diode electrode extraction system was designed by IGUN simulation to optimize for 1 µP perveance. It was successfully demonstrated that the ion beam current of ~4 mA can be extracted through the 10 mm aperture from the developed ion source. The target system with the Faraday cup is also developed to measure the beam current. With the assistance of the power control system, ion beams are extracted while maintaining a consistent arc power for more than 10 min of continuous operation.

• 한국지역지리학회지
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• 제14권1호
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• pp.68-83
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• 2008

본 연구는 조선시대의 읍성과 내부 구조가 가장 잘 복원되어 있는 전라남도 순천시의 낙안읍성을 사례로 조선초에 나타난 읍치의 이동과 신읍치의 입지 구조 경관의 특징을 분석해 보았다. 그 결과를 요약하면 다음과 같다. 첫째, 낙안군의 읍치는 1424년 현재의 보성군 벌교읍 고읍리에서 순천시 낙안면 낙안읍성으로 옮겼다. 둘째, 신읍치인 낙안읍성은 입지 구조 경관 등에서 수도인 한양을 거의 그대로 모방하였는데, 중앙 정부의 관여에 의해 철저히 계획적으로 건설되었기 때문으로 볼 수 있다. 셋째, 1451년까지도 낙안군의 토착세력은 신읍치인 낙안읍성을 부정하고 싶어했으며, 1400년대 후반까지도 구읍치의 관성이 강하게 남아 있었다. 넷째, 1700년대 이후의 자료에는 조선시대 읍치의 전형적인 상징 논리인 풍수적 경관이 확실하게 체계화되어 있었다.

• 대기
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• 제25권1호
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• pp.19-30
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• 2015

The Ka-band cloud radar (KCR) has been operated by the National Institute of Meteorological Research (NIMR) of Korea Meteorological Administration (KMA) at Boseong National Center for Intensive Observation of severe weather since 2013. Evaluation of data quality is an essential process to further analyze cloud information. In this study, we estimate the measurement error and the sampling uncertainty to evaluate data quality. By using vertically pointing data, the statistical uncertainty is obtained by calculating the standard deviation of each radar parameter. The statistical uncertainties decrease as functions of sampling number. The statistical uncertainties of horizontal and vertical reflectivities are identical (0.28 dB). On the other hand, the statistical uncertainties of Doppler velocity (spectrum width) are 2.2 times (1.6 times) larger at the vertical channel. The reflectivity calibration of KCR is also performed using X-band vertically pointing radar (VertiX) and 2-dimensional video disdrometer (2DVD). Since the monitoring of calibration values is useful to evaluate radar condition, the variation of calibration is monitored for five rain events. The average of calibration bias is 10.77 dBZ and standard deviation is 3.69 dB. Finally, the statistical characteristics of cloud properties have been investigated during two months in autumn using calibrated reflectivity. The percentage of clouds is about 26% and 16% on September to October. However, further analyses are required to derive general characteristics of autumn cloud in Korea.

• 감성과학
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• 제16권3호
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• pp.311-318
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• 2013

본 연구는 인간의 생리적 지표 중 하나인 안면 피부온도를 활용하여 PMV 지표 값에 기반하여 조성된 쾌적/불쾌 실내 환경을 적절하게 구분할 수 있는지 그 타당성을 살펴보고자 하였다. 이를 위해 쾌적 실내 환경에 해당되는 PMV 지표 값을 기준으로 물리적 환경을 쾌적 실내 환경과 불쾌한 실내 환경으로 각각 구분하고, 구분된 환경내에서 재실자의 안면 피부온도를 측정하였다. 그 결과, PMV 지표 값으로 구분된 쾌적 실내 환경과 불쾌한 실내 환경에서의 재실자의 안면 피부온도가 서로 차이를 보이는 것으로 나타났다. 이는 안면 피부온도가 PMV 지표에 기반한 쾌적한 실내 환경 조성에 있어 활용될 수 있음을 시사한다. 그러나 쾌적한 실내 환경에 비해 불쾌한 실내 환경에서 안면 피부온도가 낮게 나타나는 결과를 통해 오히려 PMV 지표 값에 기반을 두고 조성되는 쾌적/불쾌환경이 타당하지 않을 수 있음도 시사한다.

• 한국환경생태학회지
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• 제24권5호
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• pp.519-538
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• 2010

전라남도 보성의 북부산지를 대표하는 천봉산(608m)일대에 자생하는 관속식물들을 밝히고 주요 식물들을 파악하였다. 2005년 3월부터 2005년 10월까지 총 4차례 현지조사를 통해 밝혀진 소산식물은 104과 307속 446종 3아종 56변종 6품종의 511종류로 조사되었다. 이 중 한반도 특산식물은 총 12분류군이 확인되었으며, 산림청 지정 한국 희귀식물은 8종류가 조사되었다. 환경부 지정 특정 식물종은 V등급 2종류, IV등급 1종류, III등급 8종류, II등급 7종류, I등급에는 28종류 등 총 46종류가 분포하고 있음을 알 수 있었다. 귀화식물은 총 38분류군, 귀화율은 7.4%로 전남지역의 평균 귀화식물분포보다 높게 나타났다.