• 한국자기공명학회논문지
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• 제5권2호
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• pp.130-137
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• 2001

Backbone dynamics of the catalytic residues in free and steroid-bound $\Delta$$^{5}$ -3- ketosteroid isomerase from Pseudomonas testosteroni has been examined by $^{15}$ N relaxation measurements. The relaxation data were analyzed using the model-free formalism to extract the model-free parameters (S$^2$, $\tau$$_{e}$, and R$_{ex}$). Tyr-34 and Asp-99 exhibit enhanced high-frequency (pico- to nanosecond) internal motions in the free enzyme, which are restricted upon ligand binding, while Asp-38 experiences severe restriction of the internal motions in the fee enzyme, suggesting that Tyr-14 and Asp-99 are more actively involved in the ligand binding than Asp-38. The results also indicate that the H-bond network in the catalytic cavity might be slightly strengthened upon ligand binding, which may have some implications on the enzyme mechanism.he enzyme mechanism.m.

• 대한화학회지
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• 제20권4호
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• pp.251-259
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• 1976

고분자의 graft site 분포를 통계적 방법으로 구하고 그 이론치를 GPC를 사용한 실험에 의하여 증명하였다. 결과에 따르면 고분자의 metalation (Li+ion)은 통계이론에 따르고 anionic graft 반응결과는 homopolymer(side chain과 backbone 고분자) 및 graft site가 통계적으로 분포되어 있는 graft polymer로 구성되어 있다

• 센서학회지
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• 제30권5호
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• pp.290-294
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• 2021

Experts have designed popular and successful model architectures, which, however, were not the optimal option for different scenarios. Despite the remarkable performances achieved by deep neural networks, manually designed networks for classification tasks are the backbone of object detection. One major challenge is the ImageNet pre-training of the search space representation; moreover, the searched network incurs huge computational cost. Therefore, to overcome the obstacle of the pre-training process, we introduce a network adaptation technique using a pre-trained backbone model tested on ImageNet. The adaptation method can efficiently adapt the manually designed network on ImageNet to the new object-detection task. Neural architecture search (NAS) is adopted to adapt the architecture of the network. The adaptation is conducted on the MobileNetV2 network. The proposed NAS is tested using SSDLite detector. The results demonstrate increased performance compared to existing network architecture in terms of search cost, total number of adder arithmetics (Madds), and mean Average Precision(mAP). The total computational cost of the proposed NAS is much less than that of the State Of The Art (SOTA) NAS method.

• 천문학논총
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• 제20권1호
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• pp.63-71
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• 2005

e-VLBI was invented to enhance the efficiency of VLBI (Very-Long-Baseline Interferometry) system by transmitting the data via high speed network. Korean VLBI Network (KVN) has a plan to construct e-VLBI system named e-KVN. High speed backbone network and efficient network model are essential to implement successful e-VLBI system. This paper introduces a network model based on PC cluster technology. The present status of high speed backbone network in Korea is overviewed. We suggest that the network link via Korea Advanced Research Network (KOREN) is one of feasible way for e-KVN. We also describe the principles of e-VLBI and protocol for network transmission such as VSI-E (VLBI Standard Interface - Electronic), RTP (Real-Time Transport Protocol) and RTCP (Real-Time Transport Control protocol).

• 대한전자공학회논문지TC
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• 제40권10호
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• pp.67-78
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• 2003

인터넷 트래픽의 폭발적인 증가로 인한 높은 대역폭의 요구와 광 네트워크 기술이 발전되면서 DWDM 네트워크가 국가적 혹은 범세계적인 차세대 광 인터넷(NGOI) 백본망의 대안으로 인식되고 있다. 이러한 DWDM 네트워크 기반의 NGOI에서는 RWA(Routing and Wavelength Assignment) 문제와 생존성이 중요한 이슈가 되고 있다. 특히 높은 데이터 전송율을 가지는 DWDM 네트워크에서 일어나는 짧은 서비스 파괴는 막대한 트래픽 손실을 야기하므로, AOTN에서의 fault/attack 검출, 지역화, 그리고 회복시킴은 가장 중요한 이슈 중 하나가 된다. 본 논문에서는 다양한 광 백본망 소자들의 fault/attack 취약성 분석을 통한 fault/attack 관리 모델을 제안하고, IP/GMPLS over DWDM 내의 제어프로토콜인 Extended-LMP (Link Management Protocol)와 RSVP-TE+(Resource Reservation Protocol-Traffic Engineering)를 이용하여 fault/attack 회복 절차를 제시한다.

• 한국지반공학회논문집
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• 제25권11호
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• pp.27-38
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• 2009

본 연구에서는 조밀한 포화 사질토 지반과 느슨한 포화 사질토 지반에 근입된 모형말뚝을 대상으로 다양한 말뚝휨 강성과 입력 가속도 진폭, 그리고 입력 가속도 진동수 조건에서 1g 진동대 실험을 수행하였다. 그 결과로, 조밀한 포화 사질토 지반조건에 대해, 각 실험 p-y 곡선 상 최대 지반 반력이 나타나는 꼭지점들을 연결하여 등가정적해석에 적용할 수 있는 동적 p-y 중추곡선을 쌍곡선 함수로 나타내었으며, 중추곡선을 쌍곡선 함수로 나타내는데 필요한 초기 기울기($k_{ini}$)와 극한 저항력($p_u$)을 결정하기 위한 경험식을 마찰각과 구속압의 함수로 제안하였다. 제안한 동적 p-y 중추곡선의 적용성을 기존 문헌에 발표된 원심모형실험 결과와 비교하여 검증하였으며, 실제 설계에 적용되고 있는 기존의 p-y 곡선들과도 비교, 분석하였다. 또한 느슨한 포화 사질토 지반조건에서, 진동 중 발생하는 과잉간극수압에 따라 지반 저항이 감소하는 정도를 나타내는 동적 지반 저항 감소 계수($S_F$)를 제안하였다.

• 한국공간구조학회논문집
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• 제18권2호
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• pp.25-34
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• 2018

This study investigated a bio-tensegrity structural system that combines the characteristics of a general tensegrity structural system with a biological system. The final research objective is to accomplish a changeability for the structural system as like the movement of the natural bio-system. In the study, we present a shape finding procedure for the two stage bio-tensegrity system model inspired by the movement pattern of animal backbone. The proposed system is allowing a dynamic movement by introducing the concept of "saddle" for the variable bio-tensegrity structure. Several shape finding analysis example and results are presented and shows a efficient validation and suitability.

• 한국자기공명학회논문지
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• 제25권3호
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• pp.39-44
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• 2021

The CRISPR-Cas system provides adaptive immunity for bacteria and archaea against invading phages and foreign plasmids. In the Class 1 CRISPR-Cas system, multi-subunit Cas proteins assemble with crRNA to bind to DNA targets. To disarm the bacterial defense system, bacteriophages evolved anti-CRISPR (Acr) proteins that actively inhibit the host CRISPR-Cas function. Here we report the backbone resonance assignments of AcrIF7 protein that inhibits the type I-F CRISPR-Cas system of Pseudomonas aeruginosa using triple-resonance nuclear magnetic resonance spectroscopy. We employed various computational methods to predict the structure and binding interface of AcrIF7, and assessed the model with experimental data. AcrIF7 binds to Cas8f protein via flexible loop regions to inhibit target DNA binding, suggesting that conformational heterogeneity is important for the Cas-Acr interaction.

• 한국공간구조학회논문집
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• 제20권4호
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• pp.35-44
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• 2020

In the study, a shape finding procedure for the tensegrity system model inspired by the movement pattern of animal backbone was presented. The proposed system is allowing a dynamic movement by introducing the concept of "saddle" for the variable tensegrity structure. Mathematical process and an algorithm for movable tensegrity to specified points were established. Several examples have applied with in established shape finding analysis procedure. The final tensegrity structures were determined well to a object shape.

• 한국산업융합학회 논문집
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• 제25권4_2호
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• pp.687-697
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• 2022

An automated system is needed for the effectiveness of non-destructive testing. In order to utilize the radiographic testing data accumulated in the film, the types of welding defects were classified into 9 and the shape of defects were analyzed. Data was preprocessed to use deep learning with high performance in image classification, and a combination of one-stage/two-stage method and convolutional neural networks/Transformer backbone was compared to confirm a model suitable for welding defect detection. The combination of two-stage, which can learn step-by-step, and deep-layered CNN backbone, showed the best performance with mean average precision 0.868.