• Annual Conference of KIPS
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• 2018.10a
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• pp.478-479
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• 2018

수부는 일상생활동작(ADL, activities of daily living)을 위한 중요 부위로 손상이나 장애가 있는 경우 재활치료를 통해 과제수행능력을 향상시킨다. 그러나 치료 과정은 주관적으로 진행되어 정확한 치료 성과를 위한 객관적 지표가 필요하다. 본 논문에서는 실제 수부 움직임을 추적할 수 있는 동작인식 장비인 립모션 컨트롤러와 Unity3D로 가상공간 상에서 구현된 Box&Block Test를 이용하여 수부 움직임에 대한 객관적인 데이터를 얻었다. 기존 Box&Block Test와 제안한 모션인식과 추적에 의한 수지손상 환자용 진단 및 치료시스템의 성능을 T검정 수행한 결과 통계적으로 유의미한 차이가 없음을 보였으며 수부 움직임의 정량적인 데이터를 통해 정확한 치료성과 판단의 가능성을 확인하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.204-204
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• 2017

WRF 모형은 실제 자연에서 나타나는 대기 현상의 원인을 물리적 동적 방정식들의 항으로 표현한 수치예보모형으로 전세계의 상업적 비상업적인 수치예보모형 안에서 성능이 뛰어나다고 평가되어지고 있다. WRF 모형은 오픈소스 기반의 비상업적 모형으로 사용 및 수정이 자유로운 특징이 있으며, 위성 및 레이더와 같은 고도화된 다양한 기상관측자료를 입력자료로 활용할 수 있는 장점이 있다. WRF-HYDRO 모형은 WRF 모형이 갖는 공간적인 저해상도 문제를 해결할 수 있는 고해상도의 격자를 구축할 수 있으며 유출량과 수문 변량을 추정할 수 있는 추적 모형을 추가하여 수문학적 예측 능력을 향상하고자 개발되었다. 기존 모형과의 차별성으로는 기상인자로 인하여 도출된 지표면의 수문인자들이 시간의 변동에 따라서 다음 시간의 기상인자에 영향을 미치는 피드백 구조로 구성되어 기상과 지표면이 양방향으로 연결되는 특징이 있다. 기존 모형에 비하여 향상된 구조적인 특징은 수문학적 순환과정을 자연스럽게 재현함으로서 신뢰성 있는 결과를 도출할 수 있을 것으로 판단된다. 본 연구에서는 만경강 유역의 실제 유출 사상에 대하여 WRF-HYDRO 모형을 적용하고, 홍수통제소 관할 만경강 유역내 수문 관측소 자료와의 비교를 통해 WRF-HYDRO 모형의 적용성을 검토하였다. 수문 관측소를 통한 검토 결과를 기반으로 WRF-HYDRO 모형에서 제시된 수문-기상 정보를 통하여 만경강 유역의 홍수 사상의 발생 과정에 대한 추적 및 미계측 변량의 추정에 유용하게 사용할 수 있을 것으로 판단된다.

• Korean Journal of Optics and Photonics
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• v.3 no.3
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• pp.143-147
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• 1992

1)iscussed in this paper are the effects of phase modulation on the line spread functions (LSF) and MTFs of ;I binocular objective system. The binocular objective lens is made in Korea. It has rotationally symmetric aberrations. The LSFs and MTFs are measured experimentally. The phase modulation is carried out by applying phase retardation $\pi$ on the aperture. The area where the phase is not retarded presents a double annular type. The OTF curves of phase modulated aperture are compared with that of unmodulated aperture. The comparison shows that there is the aberration compensation effect in aberration loaded system. Therefore the performance of many optical system can be improved without any loss of light energy by properly modulating the phase on the aperture.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.161-175
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• 2022

Oscillatory magnetic fields produced in the brain due to neuronal activity can be measured by the sensor. Magnetoencephalography (MEG) is a non-invasive technique to record such neuronal activity due to excellent temporal and fair amount of spatial resolution, which gives information about the brain's functional activity. Potential utilization of high spatial resolution in MEG is likely to provide information related to in-depth brain functioning and underlying factors responsible for changes in neuronal waves in some diseases under resting state or task state. This review is a comprehensive report to introduce statistical models from MEG data including graphical network modelling. It is also meaningful to note that statisticians should play an important role in the brain science field.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.581-583
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• 2022

우리나라 교육통계에 따르면 외국인 가정 및 국제결혼 가정의 자녀 수는 138,227명에 달하며(교육부, 2020), 결혼이민자는 169,005명에 이른다(법무부, 2022). 이들 중 대다수는 의사소통의 어려움을 호소하며, 의사소통 문제는 학교 및 사회생활 부적응으로 이어진다. 이에 대하여, 지방자치단체와 다문화 유관기관 등에서 다양한 한국어교육 프로그램을 진행하고 있지만, 대부분이 단편적인 학습지 교육이나 문화 체험 수업에 그치거나 코로나19 등으로 인하여 수업이 중단되는 등 효과적이고 체계적인 교육이 제공되지 못하고 있는 실정이다. 본 연구에서는 한국에서 적응하고 생활해야 하는 다문화 가정 구성원들을 대상으로 한국어교육을 체계적으로 실시하기 위해 가상현실(VR)을 활용한 교육 프로그램을 제안한다. 이는 시공간의 제약을 받지 않아 일반 교재나 PC 활용 수업에 비해 접근성이 좋고 실재감과 몰입감을 높여 학습자의 흥미와 참여도를 향상시킬 수 있다. 특히 다자간 동시 참여가 가능한 메타버스 공간에서는 학습자 간 활발한 상호작용 및 소통이 가능하여 언어 능력과 더불어 사회 적응력을 기르는 데에 기여할 수 있다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.217-223
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• 2009

Vocabulary recognition system of Mobile terminal is executed statistical method for vocabulary recognition and used statistical grammar recognition system using N-gram. If limit arithmetic processing capacity in memory of vocabulary to grow then vocabulary recognition algorithm complicated and need a large scale search space and many processing time on account of impossible to process. This study suggest vocabulary recognition optimize using MLHF System. MLHF separate acoustic search and lexical search system using FLaVoR. Acoustic search feature vector of speech signal extract using HMM, lexical search recognition execution using Levenshtein distance algorithm. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%, represent recognition speed of 1.61 second.

• Korean Journal of Ecology and Environment
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• v.49 no.1
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• pp.42-50
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• 2016

The purpose of this study is to set the direction to manage national parks to cope with climate change, and offer basic data to establish the relevant policies. Towards this end, this study analyzed the current and future climate change vulnerability of national parks using the 24 proxy variables of vulnerability in the LCCGIS program, a tool to evaluate climate change vulnerability developed by the National Institute of Environmental Research. To analyze and evaluate the current status of and future prospect on climate change vulnerability of national parks, the proxy variable value of climate exposure was calculated by making a GIS spatial thematic map with $1km{\times}1km$ grid unit through the application of climate change scenario (RCP8.5). The values of proxy variables of sensitivity and adaptation capability were calculated using the basic statistics of national parks. The values of three vulnerability evaluation items were calculated regarding the present (2010s) and future (2050s). The current values were applied to the future equally under the assumption that the current state of the proxy variables related to sensitivity and adaptation capability without a future prediction scenario continues. Seoraksan, Odaesan, Jirisan and Chiaksan National Parks are relatively bigger in terms of the current (2010s) climate exposure. The national park, where the variation of heat wave is the biggest is Wolchulsan National Park. The biggest variation of drought occurs to Gyeryongsan National Park, and Woraksan National Park has the biggest variation of heavy rain. Concerning the climate change sensitivity of national parks, Jirisan National Park is the most sensitive, and adaptation capability is evaluated to be the highest. Gayasan National Park's sensitivity is the lowest, and Chiaksan National Park is the lowest in adaptation capability. As for climate change vulnerability, Seoraksan, Odaesan, Chiaksan and Deogyusan National Parks and Hallyeohaesang National Park are evaluated as high at the current period. The national parks, where future vulnerability change is projected to be the biggest, are Jirisan, Woraksan, Chiaksan and Sobaeksan National Parks in the order. Because such items evaluating the climate change vulnerability of national parks as climate exposure, sensitivity and adaptation capability show relative differences according to national parks' local climate environment, it will be necessary to devise the adaptation measures reflecting the local climate environmental characteristics of national parks, rather than establishing uniform adaptation measures targeting all national parks. The results of this study that evaluated climate change vulnerability using climate exposure, sensitivity and adaptation capability targeting Korea's national parks are expected to be used as basic data for the establishment of measures to adapt to climate change in consideration of national parks' local climate environmental characteristics. However, this study analyzed using only the proxy variables presented by LCCGIS program under the situation that few studies on the evaluation of climate change vulnerability of national parks are found, and therefore this study may not reflect overall national parks' environment properly. A further study on setting weights together with an objective review on more proper proxy variables needs to be carried out in order to evaluate the climate change vulnerability of national parks.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.51-68
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• 2015

Recently, it has been emphasized that 'marine special economic zone' need to be designated and developed. Therefore, the purpose of this paper is to analyse on successful growth factors of 'marine special economic zone'. This study deals with the terms of three connection success factors which are a firm's subjective factors, a industrial environment factors, and a governmental policy factors. According to analysis results of the three successful growth factors, a firm's subjective factors(4.11 score) are scored at the most ones of the three successful growth factors, to be compared with a industrial environment factors(3.89 score). with a government policy factors(3.72 score). Therefore, first of all, it is important to enhance competitiveness of 'marine special economic zone' through as follows, a firm's subjective factors : (1) to procure concentrated market strategy and real market capacity, (2) to promote customer service, (3) to procure speedy satisfaction of customer needs and confidence, (4) to enhance competitiveness through standing in a trio of connection growth model. And, the next, we have to enhance competitiveness of 'marine special economic zone' through considering a industrial environment factors, that is, sustainable growth of marine industry, clustering of marine industry, expansion of infrastructure, etc., and a government policy factors, that is, leading law improvement and policy of leading 'marine special economic zone' designation and development, etc.,

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.7-16
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• 2008

There are unique aspects of truck vehicle movements compared with the personal travel in trip chaining. This paper reports an analysis on the truck vehicle trip chaining which intercity/metropolitan/intraregional trips are classified. Data collected from the travel dairy survey is used the truck trip-chaining analysis. The pattern of trip chaining classes is classified by the GIS mapping based on orgin-destination trip information. The physical index and efficiency index for each trip diary is used to the truck vehicle activity. Truck trips lengths and time differs from its truck type, service type and travel patterns. It is shown that the efficiency of the truck trip chaining depends on vehicle types and its delivery patterns. There are many other topics for research on trip chaining modeling such as the classification of trip chain, time use and mode choice by trip chaining.

• Journal of Korean Tunnelling and Underground Space Association
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• v.10 no.1
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• pp.1-15
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• 2008

Recently, because of the various factors by uncertainty of underground, the risks in tunnelling have been occurred increasingly. Therefore, it is very important to estimate and control the risks considering geotechnical conditions for tunnel stability and environmental problems by tunnel construction. In this study, the risk analysis for tunnel stability was carried out by classifying the risk factors such as ground support capacity, ground settlement, the inflow of groundwater into the tunnel and the damage by the earthquake. Also, the risk assessment for the environmental problems was performed by calculating the vibration and noise by blasting and the drawdown of the groundwater level caused by tunnel construction. Each risk factor was evaluated quantitatively based on the probabilistic and statistic technique, then it was analyzed the distribution characteristic along overall tunnel site. Finally, it was evaluated that how much each risk factor influences on the construction cost with a period for tunnel construction, so it is possible to perform reasonable tunnel design which was capable of minimizing the risks in the tunnel construction.