• 한국콘텐츠학회논문지
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• 제18권2호
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• pp.269-279
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• 2018

본 연구는 초등 영어 우수 수업으로 선정되어 교육포털사이트에 업로드 되어 있는 수업 동영상을 전사하고, COLT 2부와 TALOS 저추론 분석법을 사용하여 이를 분석하여 의사소통성과 수업의 특징을 파악한 연구이다. 그동안 COLT를 사용하여 초등 영어 수업의 의사소통성을 파악한 연구는 많았지만, TALOS 분석을 한 연구는 부족했다. 또한, 대부분의 연구가 초등 영어 수업이 의사소통적이지 않다는 결론이 대다수였다. 이에, COLT 2부와 TALOS를 사용하여 초등 영어 수업을 분석하여 의사소통성을 파악하고, 초등영어의 성격과 관련하여 나타나는 특징을 알아보았다. 서울교육포털사이트에 우수 수업 동영상으로 업로드되어 있는 1개의 수업 동영상을 COLT(Communitive Orientation of Language Teaching)와 TALOS(Target Language Observation Scheme)를 활용하여 분석한 결과, 이 수업은 높은 학생 발화의 양과 질, 학생의 높은 참여, 주도적인 발화의 시작, 예상 불가 정보 발화의 높은 비율, 확장 비율이 높은 발화 지속의 양태 등으로 의사소통중심 수업임을 확인하였다. 수업에서 두드러지게 나타난 학생의 높은 참여, 정의적 요소의 중시, 재미있게 몰입하는 활동 속에서 무의식적으로 충분한 반복을 통한 내재화 등은 초등 영어 특성과 관련된 본 수업의 특징이다.

• 한국자기공명학회논문지
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• 제11권1호
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• pp.30-41
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• 2007

The backbone molecular dynamics of the C-terminal part of the mouse Cdt1 protein (tCdt1, residues 420-557) was studied by high field NMR spectroscopy. The Secondary structure of this protein was suggested by analyzing of chemical shift of backbone atoms with programs TALOS and PECAN, together with NOE connectivities from 3D $^{15}N-HSQC-NOESY$ data. Measurement of dynamic parameters $T_1,\;T_2$ and NOE and limited proteolysis experiment provided information for domain organization of tCdt1(420-557). Analysis of the experimental data showed that the C-terminal part of the tCdt1 has well folded domain for residues 455-553. The residues 420-453 including ${\alpha}-helix$ (432-441) are flexible and probably belong to other functional domain in intact full length Cdt1 protein.

• 한국자기공명학회논문지
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• 제20권2호
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• pp.50-55
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• 2016

Backbone $^1H$, $^{13}C$ and $^{15}N$ resonance assignments are presented for the anticodon binding domain (residues 557-674) of human glycyl-tRNA synthetase (GRS). Role of the anticodon binding domain (ABD) of GRS as an anticancer ligand has recently been reported and its role in other diseases like Charcot-Marie-Tooth (CMT) and polymyositis have increased its interest. NMR assignments were completed using the isotope [$^{13}C/^{15}N$]-enriched protein and chemical shifts based secondary structure analysis with TALOS+ demonstrate similar secondary structure as reported in X-ray structure PDB 2ZT8, except some C-terminal residues. NMR signals from the N-terminal residues 557 to 571 and 590 to 614 showed very weak or no signals exhibiting dynamics or conformational exchange in NMR timescale.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2002년도 제18회 학술발표대회 논문초록집
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• pp.57-58
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• 2002

램제트는 다른 여러 추진시스템에 비하여 획기적으로 증가된 사거리를 가지므로 가용범위의 확대는 물론, 목표물 타격 시 높은 명중률과 낮은 격추율을 가지는 효과적인 추진 시스템이다. 램제트 엔진을 장착한 미사일로는 프랑스의 Griffon, ASMP, 미국의 Bomarc, Talos, 영국의 Bloodhound, Sea dart, 소련의 SA4, SA6 등을 비롯하여 많은 종류가 개발되어 실전 배치되었다. 근래 들어 램제트는 군사전략과 전술적인 목적 이외에도 민간용으로도 그 실용성이 강조되고 있어 그 중요성은 날로 더할 것으로 예측된다. 램제트는 일반적인 공기흡입식 엔진과는 달리 엔진 내부에 기계적으로 구동되는 부분이 없이 충격파를 통과하면서 공기의 압력이 높아지는 현상인 램압축 현상을 이용하여 공기를 압축하게 되므로 엔진의 구조가 간단하고, 상대적으로 높은 비추력과 추력/중량비를 가진다. 램제트는 정지 상태에서는 작동되지 않으며 사용 가능한 최소의 압력비를 줄 수 있는 비행 마하수에 도달해야 램제트가 작동하게 된다. 따라서 이러한 비행속도를 줄 수 있는 별도의 추진장치가 필요하게 되는데 이와 같은 보조 추진장치로 부스터를 사용한다. 부스터가 엔진의 내부에 장착된 램제트를 일제형 램제트 (IRR: integral Rocket Ramjet)라 부르며, 현대의 전략미사일과 민간용 초음속 항공기의 엔진에 도입되어 활발한 연구가 진행 중이다. 램압력을 이용하여 압축하므로 램제트의 설계시 설계점 비행 속도에서 전압력 손실이 최소가 되도록 설계되어야 하며, 이를 실험이나 수치해석을 통해 확인하여야 한다.

• 한국자기공명학회논문지
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• 제17권1호
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• pp.59-66
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• 2013

BldD, a developmental transcription factor from Streptomyces coelicolor, is a homodimeric, DNA-binding protein with 167 amino acids in each subunit. Each monomer consists of two structurally distinct domains, the N-terminal domain (BldD-NTD) responsible for DNA-binding and dimerization and the C-terminal domain (BldD-CTD). In contrast to the BldD-NTD, of which crystal structure has been solved, the BldD-CTD has been characterized neither in structure nor in function. Thus, in terms of structural genomics, structural study of the BldD-CTD has been conducted in solution, and in the present work, mainchain NMR assignments of the recombinant BldD-CTD (residues 80-167 of BldD) could be achieved by a series of heteronuclear multidimensional NMR experiments on a [$^{13}C/^{15}N$]-enriched protein sample. Finally, the secondary structure prediction by CSI and TALOS+ analysis using the assigned chemical shifts data identified a ${\beta}-{\alpha}-{\alpha}-{\beta}-{\alpha}-{\alpha}-{\alpha}$ topology of the domain. The results will provide the most fundamental data for more detailed approach to the atomic structure of the BldD-CTD, which would be essential for entire understanding of the molecular function of BldD.

• 한국자기공명학회논문지
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• 제14권2호
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• pp.105-116
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• 2010

SH3YL1, a novel protein containing one Src homology 3 domain at the carboxyl terminus was first detected in mouse anagen skin cDNA. This protein had a significant homology with YHRO 16c/Ysc 84, the yeast Src homology 3 domain-containing protein. The sequence identity was remarkable at the carboxyl and amino-terminal Src homology 3 domain, suggesting that the novel protein is a mouse homolog of the yeast protein and thus was termed as SH3YL1. SH3YL1 is composed of two domains, a DUF500 at N-termini and a SH3 domain at C-termini. In our study we cloned the SH3 domain in bacterial expression system in Escherichia coli using pET32a vector with TEV protease cleavage site and purified as a monomer using affinity chromatography. The N-terminal poly-Histidine tag was cleaved with TEV protease and target protein was used for backbone studies. Our study showed that SH3 domain primarily consists of $\beta$-sheet which is in consistence with previous result performed on the truncated SH3 domain of SH3YL1.

• 시스템엔지니어링학술지
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• 제16권2호
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• pp.67-77
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• 2020

Traditionally nuclear thermal hydraulic and nuclear safety has relied on numerical simulations to predict the system response of a nuclear power plant either under normal operation or accident condition. However, this approach may sometimes be rather time consuming particularly for design and optimization problems. To expedite the decision-making process data-driven models can be used to deduce the statistical relationships between inputs and outputs rather than solving physics-based models. Compared to the traditional approach, data driven models can provide a fast and cost-effective framework to predict the behavior of highly complex and non-linear systems where otherwise great computational efforts would be required. The objective of this work is to develop an AI algorithm to predict the peak fuel cladding temperature as a metric for the successful implementation of FLEX strategies under extended station black out. To achieve this, the model requires to be conditioned using pre-existing database created using the thermal-hydraulic analysis code, MARS-KS. In the development stage, the model hyper-parameters are tuned and optimized using the talos tool.

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.75-93
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• 2022

Machine learning (ML) data-driven meta-model is proposed as a surrogate model to reduce the excessive computational cost of the physics-based model and facilitate the real-time prediction of a nuclear power plant's transient response. To forecast the transient response three machine learning (ML) meta-models based on recurrent neural networks (RNNs); specifically, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), and a sequence combination of Convolutional Neural Network (CNN) and LSTM are developed. The chosen accident scenario is a control element assembly withdrawal at power concurrent with the Loss Of Offsite Power (LOOP). The transient response was obtained using the best estimate thermal hydraulics code, MARS-KS, and cross-validated against the Design and control document (DCD). DAKOTA software is loosely coupled with MARS-KS code via a python interface to perform the Best Estimate Plus Uncertainty Quantification (BEPU) analysis and generate a time series database of the system response to train, test and validate the ML meta-models. Key uncertain parameters identified as required by the CASU methodology were propagated using the non-parametric Monte-Carlo (MC) random propagation and Latin Hypercube Sampling technique until a statistically significant database (181 samples) as required by Wilk's fifth order is achieved with 95% probability and 95% confidence level. The three ML RNN models were built and optimized with the help of the Talos tool and demonstrated excellent performance in forecasting the most probable NPP transient response. This research was guided by the Systems Engineering (SE) approach for the systematic and efficient planning and execution of the research.