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장한별,이준영 한국해양수산개발원 2023 해양정책연구 Vol.38 No.2

North Korea had engaged in whaling for several decades until the 1980s, impacting whale resources in East Asian waters. However, few studies have attempted to examine the economic and political relationships that North Korea has built with whale resources. In this respect, this study conducted a content analysis of North Korean newspapers to explore the changing utilization patterns of whale resources in North Korea. Analyzing 138 articles spanning from 1957 to 2021, we found that North Korea engaged in whaling between the 1950s and the early 1970s. While relevant articles did not appear between 1974 and 1999, they began to reappear after 2000 with different focal points compared to the earlier period. Specifically, recent articles no longer document North Korea’s past whaling records. Instead, they emphasize whales as part of the global commons, criticize Japan for its continued whaling activities, and advocate for sustainable whale management and conservation. Research findings call for more attention to be paid to examining North Korea’s role in shaping the past, present, and future of whale resources in East Asia. Furthermore, North Korea’s recent realignment towards advocating whale conservation suggests that whales could serve as an effective platform for maritime cooperation with other concerned countries.

A Relativistic Magnetohydrodynamic Code Based on an Upwind Scheme

장한별,류동수,Jang, Hanbyul,Ryu, Dongsu 한국천문학회 2012 天文學會報 Vol.37 No.2

Building a relativistic magnetohydrodynamic (RMHD) code based on upwind schemes has been a challenging project, because of the absence of analytic expressions of eigenvalues and eigenvectors. We found analytic expressions of eigenvalues and eigenvectors for adiabatic RMHD flows which are relatively simple and manageable. Especially, our eigenvectors can handle all degenerate points. Using these analytic forms, we built a code based on the total variation diminishing (TVD) scheme, and successfully performed one-dimensional shock tube tests.

일본의 ‘재난위험경감’ ODA에 대한 비판적 검토

장한별,부백 한양대학교 일본학국제비교연구소 2019 비교일본학 Vol.45 No.-

재난 발생으로 인해 세계적으로 많은 지역이 피해를 입고 있으며, 국제사회는 재난에 대처 하기 위한 노력을 지속해왔다. 본 연구는 국제사회의 ‘재난위험경감(DRR)’ ODA 사업에서 일본과 일본 민간부문의 영향력이 커지는 상황에 주목하였다. DRR 사업에서 민간부문 참여 를 분석하기 위해 ‘재난자본주의’를 그 개념적 틀로 설정하였다. 재난자본주의란 재난이 새로 운 부의 창출 수단으로 인식되면서 재난 복구 사업에 민간부문이 개입하게 됨을 비판적으로 바라본 개념이다. 분석 결과는 다음과 같다. 유엔재난위험경감전략기구(UNISDR)를 중심으로 한 국제사회의 재난대응 공조체제에서 일본의 개입 정도는 다른 공여국들보다 높은 것으로 파악된다. 이것 은 DRR 사업에 대한 일본의 원조규모, 3회에 걸친 ‘세계재난위험경감회의(WCDRR)’ 개최를 통해서 드러난다. 둘째, 일본의 DRR 사업에서 민간부문의 참여가 두드러진다. UNISDR에서 민간부문의 ODA 참여를 담당하는 ARISE의 회원사 중 일본기업의 참여비중이 가장 높다. 또 한 ARISE 내부에 조직된 ‘ARISE Network Japan’을 통해 일본은 민간부문의 DRR 사업 진출 을 위한 유관기관과의 연대를 구성하고 있다. DRR 사업에 대한 일본정부, 민간부문의 적극적인 참여는 기존의 일본 ODA의 패러다임인 국익추구 전략의 연장선으로 평가할 수 있다. 인도주의적 목적이 우선시되어야 할 DRR 사업 에서 이러한 일본의 ‘민간부문 참여 확대’는 재난피해 지역의 회복, 재건에 걸림돌로 작용할 수 있는 ‘재난자본주의’의 양상을 초래할 수 있다. Disasters have damaged a number of regions in the world, and the international community has continued its endeavors to resolve this issue. This study focuses on the growth of the private sector in the “Disaster Risk Reduction (DRR)” ODA projects and the increase of Japan’s influence on the DRR ODA projects. “Disaster Capitalism” was adopted as a conceptual framework to understand and analyze the involvement of the private sector in the DRR ODA. Disasters are now considered as a new form of capital and the consequent engagement of the private sector has been critically viewed in Disaster Capitalism. The results of the analysis are as follows. Firstly, Japan's involvement in the international community and the DRR, which is led by the United Nations Office for Disaster Risk Reduction (UNISDR), is higher than that of any other of the major donor countries. This has been revealed through the three time “World Conference on Disaster Risk Reduction (WCDRR)” and by Japan’s aid budget on the DRR projects. Secondly, the private sector’s participation in Japan’s DRR projects has also been marked. The participation of Japanese businesses is ranked highest among members of ARISE (which is in charge of the association of private sectors in UNISDR). In addition, the “ARISE Network Japan,” (which was organized in ARISE), encourages Japan’s private sector to form alliances with related organizations to enhance business involvement in DRR projects. The active involvement of the government of Japan and the private sector in the DRR projects can be regarded as a national interest seeking strategy, which is a paradigm of Japan's ODA. In the DRR project, where humanitarian purposes should be prioritized, Japan's expansion of the private sector’s involvement can lead to a revealing of the aspects of disaster capitalism. This can hinder disaster damaged regions from recovery and reconstruction.

Sterilization effect of UV laser with different concentrations of TiO₂ on Bacillus atrophaeus

장한별,원미지,노소정,정희수,이기주,김정권 한국분석과학회 2020 학술대회논문집 Vol.2020 No.11

UVC-lamp sterilization of Bacillus atrophaeus spores on glass and tile

장한별,임진아,김정권 한국분석과학회 2021 학술대회논문집 Vol.2021 No.11

Ultraviolet-C (UV-C) radiation (100-280 nm) is a disinfection method to kill or inactivate microorganisms such as viruses, bacteria, and other pathogens. In this study, UVC-lamp sterilization of Bacillus atrophaeus on glass and tile was investigated. Bacillus atrophaeus spores were diluted with 10<SUP>6</SUP> CFU/mL in PBS buffer and 50 μL of spore solution was loaded on a 1×1 cm glass piece or vitrified ceramic tile. After the sample was dried overnight, UVC-lamp irradiated on a each sample with 1 hr. Then, the sample was desorbed using a razor blade and repeated pipetting of 50 μL PBS containing 0.2% Tween 20. The desorbing solution was spreaded on agar plate, and incubated for 24 h at 37 ℃. As a result, bacteria appeared in UVC-lamp sterilization using glass piece, but all bacteria were killed in UVC-lamp sterilization using tiles. Sterilization of UVC-lamp using tile was more effective than sterilization of UVC-lamp using glass. In further research, we plan to reduce the UVC-lamp irradiation duration to confirm the tendency of sterilization effect on tile.

Double Metal Cyanide-Catalyzed Polycarbonate Polyols with Different End Functionalities

장한별,김일,이민웅 한국고분자학회 2019 한국고분자학회 학술대회 연구논문 초록집 Vol.44 No.1

Novel Complexing Agents Mediated Double Metal Cyanide Catalyzed Ring-Opening Polymerization of Propylene Oxide

장한별,김일 한국고분자학회 2019 한국고분자학회 학술대회 연구논문 초록집 Vol.44 No.2

Effect of catalyst TiO₂ on UV laser sterilization of Bacillus atrophaeus

장한별,원미지,노소정,원유광,정희수,김정권 한국분석과학회 2020 학술대회논문집 Vol.2020 No.6

내륙 복합화력발전소에 적용되는 열폐기 시스템 최적 진공도 시뮬레이션

장한별,이중용 한국에너지학회 2023 한국에너지공학회 학술발표회 Vol.2023 No.4

행동인식을 위한 다중 영역 기반 방사형 GCN 알고리즘

장한별,이칠우 (사)한국스마트미디어학회 2022 스마트미디어저널 Vol.11 No.1

In this paper, multi-region based Radial Graph Convolutional Network (MRGCN) algorithm which can perform end-to-end action recognition using the optical flow and gradient of input image is described. Because this method does not use information of skeleton that is difficult to acquire and complicated to estimate, it can be used in general CCTV environment in which only video camera is used. The novelty of MRGCN is that it expresses the optical flow and gradient of the input image as directional histograms and then converts it into six feature vectors to reduce the amount of computational load and uses a newly developed radial type network model to hierarchically propagate the deformation and shape change of the human body in spatio-temporal space. Another important feature is that the data input areas are arranged being overlapped each other, so that information is not spatially disconnected among input nodes. As a result of performing MRGCN's action recognition performance evaluation experiment for 30 actions, it was possible to obtain Top-1 accuracy of 84.78%, which is superior to the existing GCN-based action recognition method using skeleton data as an input. 본 논문에서는 딥러닝을 기반으로 입력영상의 옵티컬 플로우(optical flow)와 그래디언트(gradient)를 이용하여 종단간 행동인식이 가능한 다중영역 기반 방사성 GCN(MRGCN: Multi-region based Radial Graph Convolutional Network) 알고리즘에 대해 기술한다. 이 방법은 데이터 취득이 어렵고 계산이 복잡한 스켈레톤 정보를 사용하지 않기 때문에 카메라만을 주로 사용하는 일반 CCTV 환경에도 활용이 가능하다. MRGCN의 특징은 입력영상의 옵티컬플로우와 그래디언트를 방향성 히스토그램으로 표현한 후 계산량 축소를 위해 6개의 특징 벡터로 변환하여 사용한다는 것과 시공간 영역에서 인체의 움직임과 형상변화를 계층적으로 전파시키기 위해 새롭게 고안한 방사형 구조의 네트워크 모델을 사용한다는 것이다. 또 데이터 입력 영역을 서로 겹치도록 배치하여 각 노드 간에 공간적으로 단절이 없는 정보를 입력으로 사용한 것도 중요한 특징이다. 30가지의 행동에 대해 성능평가 실험을 수행한 결과 스켈레톤 데이터를 입력으로 사용한 기존의 GCN기반 행동인식과 동등한 84.78%의 Top-1 정확도를 얻을 수 있었다. 이 결과로부터 취득이 어려운 스켈레톤 정보를 사용하지 않는 MRGCN이 복잡한 행동인식이 필요한 실제 상황에서 더욱 실용적인 방법임을 알 수 있었다.