• 실천공학교육논문지
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• 제7권1호
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• pp.25-30
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• 2015

가상현실은 프로그래밍, 시뮬레이션, 컴퓨터 그래픽스 등 다양한 학문의 종합체이며 이러한 형태의 새로운 문화적 패러다임의 등장은 우리에게 새로운 개념의 콘텐츠 개발 방법과 정보교류방식을 요구하고 있다. 본 연구에서는 3D 가상현실 기술을 이용하여 I-Bench Mobile 이라는 새로운 장비를 통해 사용자와 인터렉티브가 가능한 가구배치 시뮬레이션을 제안한다. 이것은 3D로 제작이 되며 물리 및 중력을 적용한다는 점에 강점을 두며, 또한 스냅샷 기능을 통해 고객들이 가구를 자신이 원하는 장소에 배치하여 궁극적으로 고객 만족도 향상을 목표로 하고 있다. 가상증강현실기술을 이용한 소프트웨어를 개발하는 본 연구 과정은 공학계열의 컴퓨터학과와 예술계열의 영상 예술 디자인학과, 시각 디자인 학과와 같은 다양한 학과들에서 다루는 교육과정의 작업이 필요하므로 단지 코딩 기술이 아닌 여러 학문의 기술들이 함께 어우러진 융합 IT기술 교육의 좋은 사례라고 할 수 있다.

• 한국수소및신에너지학회논문집
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• 제21권2호
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• pp.81-88
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• 2010

Hydrogen energy applications have recognized clean materials and high energy carrier. Accordingly, Hydrogen energy applies for fuel cell by Mg and Mg-based materials. Mg and Mg-based materials are lightweight and low cost materials with high hydrogen storage capacity. However, commercial applications of the Mg hydride are currently hinder by its high absorption/desorption temperature, and very slow reaction kinetics. Therefore one of the most methods to improve kinetics focused on addition transition metal oxide. Addition to transition metal oxide in $MgH_x$ powder produce $MgH_x$-metal oxide composition by mechanical alloy and it analyze XRD, EDS, TG/DSC, SEM, and PCT. This report considers kinetics by transition metal oxide rate and Hydrogen pressure. In this research, we can see behavior of hydriding/dehydriding profiles by addition catalyst (transition metal oxide). Results of PCI make a excellent showing $MgH_x$-5wt.% Sc2O3 at 623K, $MgH_x$-10wt.% $Sc_2O_3$ at 573K.

• 대한기계학회논문집A
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• 제37권12호
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• pp.1453-1463
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• 2013

본 연구에서는 유한요소해석과 압입시험으로 압입자 형상이 압입균열특성에 미치는 영향을 조사했다. 본 논문에서는 Lee 등(2012)이 제시한 cohesive zone 모델특성 및 균열생성, 진전을 위한 해석조건에 기초해 다양한 균열해석을 수행했다. 우선, 사각뿔 및 삼각뿔 압입균열 시험과 해석을 비교해 해석모델의 유효성을 검증했다. 아울러 비대칭 압입자에 의한 압입시, 압입하부에서 비대칭 균열의 발생여부를 해석적으로 관찰했다. 최종적으로 압입발생 균열수와 균열길이 관계를 조사했다. 균열수와 균열길이 관계 및 동일 압입자형상(압입자 모서리수)에서 압입자각에 따른 균열길이 변화를 이용하면, 특정 압입자 형태의 압입시험에서 얻은 균열길이 만으로 다양한 압입자 형태의 균열길이를 예측할 수 있다.

• 한국정보통신학회논문지
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• 제24권1호
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• pp.50-56
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• 2020

현재 심층 신경망 이론 및 응용 연구의 빠른 개발로 얼굴 인식의 효과가 향상되고 있다. 그러나 심층 신경망 계산의 복잡성과 탐지 환경의 복잡성으로 인해 얼굴을 빠르고 정확하게 감지하는 방법이 주요 문제가 된다. 이 논문은 FDDB, LFW 및 FaceScrub 공개 데이터 세트를 훈련 표본을 사용하는 단순한 MTCNN 모델을 기반으로 둔다. MTCNN 모델을 분류하고 소개하면서 학습 훈련 속도를 높이고 성능을 향상하는 방법을 모색합니다. 본 논문에서는 다이내믹 이미지 피라미드 기술을 이용하여 기존 이미지 Pyramid 기술을 대체하여 샘플을 분할하고 MTCNN 모델의 OHEM을 훈련에서 제거하여 훈련 속도를 향상시켰다.

• 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 Periodontal and Implant Science
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• 제49권5호
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• pp.319-329
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• 2019

Purpose: Direct application of atmospheric-pressure plasma jets (APPJs) has been established as an effective method of microbial decontamination. This study aimed to investigate the bactericidal effect of direct application of an APPJ using helium gas (He-APPJ) on Porphyromonas gingivalis biofilms on sandblasted and acid-etched (SLA) titanium discs. Methods: On the SLA discs covered by P. gingivalis biofilms, an APPJ with helium (He) as a discharge gas was applied at 3 different time intervals (0, 3, and 5 minutes). To evaluate the effect of the plasma itself, the He gas-only group was used as the control group. The bactericidal effect of the He-APPJ was determined by the number of colony-forming units. Bacterial viability was observed by confocal laser scanning microscopy (CLSM), and bacterial morphology was examined by scanning electron microscopy (SEM). Results: As the plasma treatment time increased, the amount of P. gingivalis decreased, and the difference was statistically significant. In the SEM images, compared to the control group, the bacterial biofilm structure on SLA discs treated by the He-APPJ for more than 3 minutes was destroyed. In addition, the CLSM images showed consistent results. Even in sites distant from the area of direct He-APPJ exposure, decontamination effects were observed in both SEM and CLSM images. Conclusions: He-APPJ application was effective in removing P. gingivalis biofilm on SLA titanium discs in an in vitro experiment.

• BMB Reports
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• 제40권3호
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• pp.341-348
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• 2007

Herpesvirus saimiri (HVS), a member of the $\delta$-herpesvirus family, encodes an oncoprotein called Saimiri Transforming Protein (STP) which is required for lymphoma induction in non-human primates. Previous study has shown that STP-C, an oncoprotein of HVS, activates NF-$\kappa$B signaling pathway. However, the detailed mechanism of STP-Cmediated NF-$\kappa$B activation has not been reported yet. We first report that STP-C interacts with TRAF6 protein in vivo and in vitro and further investigation shows that $Glu_{12}$ residue of STP-C is critical for binding to TRAF6. Introduction of ubiquitin together with STP-C augments NF-$\kappa$B activity compared to that of STP-C expression alone. STP-C expression further induces ubiquitination of endogenous TRAF6. In addition, either a deubiquitination enzyme, CYLD or a dominant negative E2-conjugation enzyme reduced NF-$\kappa$B activity in spite of the presence of STP-C, supporting that the interaction between STP-C and TRAF6 induces ubiquitination of TRAF6. NF-$\kappa$B activation by STP-C through the ubiquitinated TRAF6 causes the increased production of IL-8, an inflammatory chemokine and the enhanced expression of costimulatory molecule ICAM, which might ultimately contribute cellular transformation by the exposure of HVS-infected cells with inflammatory microenvironment and chronic activation.

• 한국해양공학회지
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• 제31권4호
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• pp.315-323
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• 2017

This paper presents an integrated navigation system that combines ultra-short baseline (USBL), Doppler velocity log (DVL), and heading measurements for a deep-sea remotely operated vehicle, Hemire. A navigation model is introduced based on the kinematic relation of the position and velocity. The system states are predicted using the navigation model and corrected with the USBL, DVL, and heading measurements using the Kalman filter. The performance of the navigation system was confirmed through re-navigation simulations with the measured data at the Southern Mariana Arc submarine volcanoes. Based on the characteristics of the measurements, the design process for the parameters of the system modeling error covariance, measurement error covariance, and initial error covariance are presented. This paper reviews the influence of the outliers and blackout of the USBL and DVL measurements, and proposes an outlier rejection algorithm that is robust to USBL blackout. The effectiveness of the method is demonstrated with re-navigation for the data that includes USBL blackouts.

• 디지털융복합연구
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• 제14권2호
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• pp.271-278
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• 2016

산학협력은 단기적 문제해결뿐만 아니라 대한민국 경제의 지속 성장에도 필수불가결한 요소이다. 이를 구체화하고 실행하기 위해 우리 정부는 지난 10년간 산학협력 진흥을 위해 각종 재정지원 프로그램과 제도를 마련하여 추진하고 있으며, 재단법인 산학협동재단에서는 학술 및 연구개발 지원, 창의인재 육성 및 장학금 지원, 국제교류 지원 등 다양한 사업을 수행하고 있다. 따라서 본 논문에서는 창의형 산학융합사례 및 IT 기반 국내외 융합 기술 선진사례를 분석하고, 기업연계형 대학의 산학 협력 지원책 강구 및 모델을 수립하였다. 이 모델을 기반으로 최신 IT 기술을 활용한 산업계, 학계, 근로자간 협업 시스템 구축 방안을 제안하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권4호
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• pp.1989-2011
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• 2019

Vehicle detection based on aerial images is an interesting and challenging research topic. Most of the traditional vehicle detection methods are based on the sliding window search algorithm, but these methods are not sufficient for the extraction of object features, and accompanied with heavy computational costs. Recent studies have shown that convolutional neural network algorithm has made a significant progress in computer vision, especially Faster R-CNN. However, this algorithm mainly detects objects in natural scenes, it is not suitable for detecting small object in aerial view. In this paper, an accurate and effective vehicle detection algorithm based on Faster R-CNN is proposed. Our method fuse a hyperactive feature map network with Eltwise model and Concat model, which is more conducive to the extraction of small object features. Moreover, setting suitable anchor boxes based on the size of the object is used in our model, which also effectively improves the performance of the detection. We evaluate the detection performance of our method on the Munich dataset and our collected dataset, with improvements in accuracy and effectivity compared with other methods. Our model achieves 82.2% in recall rate and 90.2% accuracy rate on Munich dataset, which has increased by 2.5 and 1.3 percentage points respectively over the state-of-the-art methods.