• Nuclear Engineering and Technology
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• 제52권8호
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• pp.1784-1791
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• 2020

The 14 MeV neutron generator facility is being developed by the Institute for Plasma Research India to conduct the lab scale experiments related to Indian breeding blanket system for ITER and DEMO. It will also be utilized for material testing, shielding experiments and development of fusion diagnostics. Occupational radiation exposure control is necessary for the all kind of nuclear facilities to get the operational licensing from governing authorities and nuclear regulatory bodies. In the same way, the radiation exposure for the 14 MeV neutron generator facility at the occupational worker area and accessible zones for general workers should be under the permissible limit of AERB India. The generator is designed for the yield of 10¹² n/s. The shielding assessment has been made to estimate the radiation dose during the operational time of the neutron generator. The facility has many utilities and constraints like ventilation ducts, accessible doors, accessibility of neutron generator components and to conduct the experiments which make the shielding assessment challenging to provide proper safety for occupational workers and the general public. The neutron and gamma dose rates have been estimated using the MCNP radiation transport code and ENDF -VII nuclear data libraries. The ICRP-74 fluence to dose conversion coefficients has been used for the assessment. The annual radiation exposure has been assessed by considering 500 h per year operational time. The provision of local shield near to neutron generator has been also evaluated to reduce the annual radiation doses. The comprehensive results of radiation shielding capability of neutron generator building and local shield design have been presented in the paper along with detailed maps of radiation field.

• Journal of Radiation Protection and Research
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• 제44권4호
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• pp.149-155
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• 2019

Background: Magnetic resonance (MR) image guided radiation therapy system, enables real time MR guided radiotherapy (RT) without additional radiation exposure to patients during treatment. However, MR image lacks electron density information required for dose calculation. Image fusion algorithm with deformable registration between MR and computed tomography (CT) was developed to solve this issue. However, delivered dose may be different due to volumetric changes during image registration process. In this respect, synthetic CT generated from the MR image would provide more accurate information required for the real time RT. Materials and Methods: We analyzed 1,209 MR images from 16 patients who underwent MR guided RT. Structures were divided into five tissue types, air, lung, fat, soft tissue and bone, according to the Hounsfield unit of deformed CT. Using the deep learning model (U-NET model), synthetic CT images were generated from the MR images acquired during RT. This synthetic CT images were compared to deformed CT generated using the deformable registration. Pixel-to-pixel match was conducted to compare the synthetic and deformed CT images. Results and Discussion: In two test image sets, average pixel match rate per section was more than 70% (67.9 to 80.3% and 60.1 to 79%; synthetic CT pixel/deformed planning CT pixel) and the average pixel match rate in the entire patient image set was 69.8%. Conclusion: The synthetic CT generated from the MR images were comparable to deformed CT, suggesting possible use for real time RT. Deep learning model may further improve match rate of synthetic CT with larger MR imaging data.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.903-906
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• 2015

최근 산업 전반에 걸쳐 가상세계와 현실세계, 방송과 통신, IT 기술과 전통산업 등 다양한 분야에서 융합연구가 진행되고 있다. 그리고 교육 분야에서는 주입식 교육을 탈피하는 창의력 중심으로의 교육 패러다임이 변하고 있다. 또한, 자기주도형 미래 인재를 육성하기 위한 고품질의 인터랙티브한 교육콘텐츠 기술이 요구되고 있는 실정이다. 이미 스마트 폰의 시장규모가 PC를 추월하고 있으며, 스마트 디바이스와 이러닝 신기술이 융합된 새로운 형태의 교육시스템으로 '스마트 러닝'이라는 새로운 서비스가 나타나고 있다. 본 논문에서는 직접 개발한 콘텐츠 저작 애플리케이션과 웹 사이트, 클라우드 환경을 기반으로 학습자 패턴 수집 및 분석을 하고자 한다. 이러한 정보를 활용하여 학습자의 취향에 맞는 적절한 콘텐츠를 추천해주는 큐레이션 서비스 제공 방안에 대해 연구하였다.

• 한국화재소방학회논문지
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• 제30권6호
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• pp.92-98
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• 2016

본 논문은 Charge-Coupled Device (CCD) 카메라를 이용한 열화상의 실시간 추정과 화재경보에 대하여 논한 것으로 각도 및 위치에 따른 특징점 분석과 동일 형상의 벡터 성분 좌표점 설정에 따른 이미지 융합이 잘 되었다. 영상을 Display하는 픽셀의 데이터 값은 0~255, 센서 출력값은 0~5,000로 하여 정확성이 높았다. 시험결과 시험체로부터 500 m, 1000 m, 1500 m 거리에서 화염에 의한 시험체의 작동시간은 각각 7초, 26초, 62초 소요 되었고 화면이미지 생성이 효과적으로 이루어졌다. 화재 발생 진단은 주의/경보/화재의 3단계로 프로그램하여 Alarm의 순차적 동작과 SNS 전송이 이루어졌다. 비화재보시험을 위해 백열등, 형광등에 대해 시험하였으나 모두 비화재보를 발생하지 않았다. 시간대별 화염의 변화영상과 진행방향 및 확산속도의 분석은 화재진행상황 예측이나 열화상 실시간 추정과 경보로 비화재보 감소가 가능함을 확인하였다.

• Journal of Microbiology and Biotechnology
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• 제20권3호
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• pp.550-557
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• 2010

Escherichia coli (E. coli) heat-labile enterotoxin B subunit (LTB) was regarded as one of the most powerful mucosal immunoadjuvants eliciting strong immunoresponse to coadministered antigens. In the research, the high-level secretory expression of functional LTB was achieved in P. pastoris through high-density fermentation in a 5-1 fermentor. Meanwhile, the protein was expressed in E. coli by the way of inclusion body, although the gene was cloned from E. coli. Some positive yeast and E. coli transformants were obtained respectively by a series of screenings and identifications. Fusion proteins LTB-6$\times$His could be secreted into the supernatant of the medium after the recombinant P. pastoris was induced by 0.5% (v/v) methanol at $30^{\circ}C$, whereas E. coli transformants expressed target protein in inclusion body after being induced by 1 mM IPTG at $37^{\circ}C$. The expression level increased dramatically to 250-300 mg/l supernatant of fermentation in the former and 80-100 mg/l in the latter. The LTB-6$\times$His were purified to 95% purity by affinity chromatography and characterized by SDS-PAGE and Western blot. Adjuvant activity of target protein was analyzed by binding ability with GMI gangliosides. The MW of LTB-6$\times$His expressed in P. pastoris was greater than that in E. coli, which was equal to the expected 11 kDa, possibly resulted from glycosylation by P. pastoris that would enhance the immunogenicity of co-administered antigens. These data demonstrated that P. pastoris producing heterologous LTB has significant advantages in higher expression level and in adjuvant activity compared with the homologous E. coli system.

• 한국의류학회지
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• 제39권2호
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• pp.233-246
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• 2015

Focus on Digital Fashion Image, the conceptual framework for the thesis is established from Virtuality in Digital Art. Formative characteristics and aesthetic characteristics were studied by classifying the Digital Fashion Image applied and expressed by digital media and technology. A detective research method was used for a case study. A literature study for case-by-case data was analyzed with focus on the works expressing fashion that utilized digital media and technology since the 2000s. Through this study, the Digital revolution has created the socio-cultural impact of a Virtual representation to implement technology and fashion culture that finds ways to take advantage of the image shown in a Digital Fashion Media by understanding Virtuality. The results are as follows. First, it was a re-formation of the fashion culture through the experience of virtuality with mental zone parameters between the media 'Mediation Code'. Reflect the reality of the virtual environment as represented by a cultural image of fashion brands and fashion that reset the team relationship and formed a Homo Ludens cultural code. Second, 'Interactive Exchange' acts on the exchange interaction between the method of digital technology, the human and the machine as well as the technical interoperability of network elements and techniques. This exchange is applied to fashion images that express emotion. Forming personalized fashion items and the user interactively storage that expresses the interactive exchange to forward the identity of the emotional fashion by a change in the message delivery system fashion. Third, the emphasis on intuitive artistic expression 'Synesthesia Immersion' induces a sense of immersion and excitement through the fusion of the interconnected. Enhance a visual image in fashion sensory representation and maximize a tactile and visual virtual reality involvement.

• 한국안전학회지
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• 제27권3호
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• pp.57-62
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• 2012

The purpose of this paper is to find dangerous factors of a water purifier when water leaks due to inappropriate use and analyze the patterns of damaged parts in order to provide data for the examination of the cause of the problem. If the water purifier is inspected and managed by a non-specialist, when the FLC(Float Level Controller) at the top is inclined, water leakage may occur to the water purifier. The leaked water flows onto the cables and hoses and enters the thermostat terminal, heater, PCB, power supply connection connector, etc., becoming a dangerous factor that may cause a system failure, fire, etc. Due to the water that entered the input terminal, low noise and white smoke were generated at first. However, the flame gradually propagated due to the continuous inflow of moisture. It was found that when moisture reached the PCB, a carbonized conductive path was formed at the varistor terminal, input terminal, semiconductor device terminal, etc., and the flame became larger, which might result in a fire. From the metal microscope analysis of a damaged condenser terminal, it was found that the amorphous structure unique to copper cable disappeared, and voids, boundary surface and disorderly fine particles occurred. Also, in the case of the connector into which moisture penetrated, fusion and deformation occurred at the cable connection clips. The result of analysis of the power supply cable connector using a thermal image camera showed that most of the heat was generated from the cable connection clips and the temperature at the connection center was normal.

• 디지털융복합연구
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• 제12권3호
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• pp.383-390
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• 2014

최근에는 IT와 관광을 융합하는 IT관광 융합학문이 미래학문으로 떠오르고 있다. 융합학문은 소셜 데이터 분석에 열을 올리고 있다. 소셜 네트워크 서비스는 마케팅 분야에서 많은 활용되고 있으며 학습에 적용하는 사례도 증가하고 있다. 본 연구는 u-스마트 관광정보 시스템을 이용한 모바일 학습 콘텐츠를 설계한다. 이것은 관광정보 패턴 템플리트 라이브러리에 있는 관광정보 콘텐츠를 학습의 효과를 증대하기 위해서 모바일 학습 콘텐츠로 변환하는 것이다. 모바일 학습 콘텐츠 설계는 u-스마트 관광정보를 이용한 스마트폰 앱(App)과 XMI를 활용하여 열 개의 설계 과정을 거친다. 향후 이 설계과정을 거쳐 모바일 학습 콘텐츠를 구현함으로써 관광정보 콘텐츠 정보품질에 맞는 모바일 학습 콘텐츠를 생성하고 관광정보콘텐츠를 실시간으로 학습 할 수 있는 것이 최대 장점이다.

• 디지털융복합연구
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• 제13권5호
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• pp.169-176
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• 2015

가상사설망(VPN)은 마치 전용선으로 사설망을 구축한 것처럼 사용할 수 있는 방식을 말한다. 가상사설망의 보안성의 품질은 보안감사성, 암호지원, 사용자 데이터의 보호, 접근통제 등에 좌우되며 효율성의 품질은 패킷처리량, 전송지연, 처리할 수 있는 세션의 수 등에 좌우된다. 본 논문에서는 가상사설망의 보안성을 고려한 효율성에 관한 품질 수준을 평가하기 위해 CC(ISO/IEC 15408)와 ISO/IEC 25000 시리즈의 품질평가 표준을 근간으로 평가모델을 구성하였다. 본 연구를 통해 최근 중요성이 더욱 부각되고 있는 지식정보보안 시스템의 하나인 가상사설망의 품질수준을 CC와 ISO 품질평가 표준에 입각하여 평가할 수 있는 융합 평가체계 구축에 기여할 수 있을 것이라 사료된다.

• 한국융합학회논문지
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• 제11권5호
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• pp.9-17
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• 2020

스마트폰을 이용한 인간 활동 인식은 컴퓨터 지능 분야에서 뜨거운 연구 주제이다. 스마트폰에는 다양한 센서가 장착되어 있다. 이러한 센서의 데이터를 융합하면 응용프로그램에서 많은 활동을 인식할 수 있다. 그러나 이러한 장치는 활용 가능한 센서 수가 제한되기 때문에 리소스가 적으며, 최적의 성능과 효율적인 특징 추출을 달성하기 위해서는 특징 선택 및 분류 방법이 필요하다. 이 논문에서는 이러한 요구사항에 따라 스마트폰-기반 HAR 체계를 제안한다. 이 논문에서 제안된 방법은 가속도 센서, 자이로 센서, 기압 센서에서 시간-도메인 특징을 추출하며, 커널 판별 분석(KDA)과 SVM을 적용하여 높은 정확도로 활동을 인식한다. 이 방법은 각 활동에 대해 각 센서에서 가장 관련성이 높은 특징을 선택한다. 우리의 비교 결과는 제안된 시스템이 이전의 스마트폰-기반 HAR 시스템보다 성능이 우수함을 보여준다.