• 한국방재학회 논문집
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• 제8권1호
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• pp.103-108
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• 2008

Riverbed change is greatly influenced by artificial factors such as dam construction, gravel collection, and river improvement. This study simulated a long-term bed change based on the GSTARS3 model using actual data from the area downstream of the Geum River Daecheong Dam and compared the estimation with a section of the actual measurement. As a result, it was found that the section of the actual measurement was far lower than the result of the simulation in terms of long-term bed change. While the area downstream of Daecheong Dam displayed approximately an average of 2.29 m of streambed degradation on average while the upper stream area showed approximately 0.63 m of bed degradation over 24 years. In the simulation of the area downstream of Daecheong Dam based on the GSTARS3 model, similar bed degradation was observed. However, a great difference was detected between the result and the actual measurement. According to the cause analysis, the riverbed in the area downstream of Daecheong Dam has continuously degraded due to the dam construction and mass collection of gravel. The mass collection of gravel was the main cause of riverbed change. It was found that about 76% of all riverbed degradation was caused by the mass collection of gravel.

• 정보처리학회논문지D
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• 제15D권3호
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• pp.375-386
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• 2008

최근 정보시스템 개발 패러다임이 객체지향 및 컴포넌트 기반으로 변해가고 있으며 이러한 방법론이 소프트웨어 산업계를 주도하고 있다. 소프트웨어 비용측정 분야도 이러한 변화에 적응하기 위해서 OO 환경에 적합한 비용 측정 모델로의 전환이 요구되고 있으며 실제 UCP 기법 등 객체지향 개념의 기능점수 연구가 진행되고 있다. 특히 객체지향 기능점수 측정 기법은 사용사례 중심으로 개발 프로젝트 초기에 적용 가능하고, 개발 진행 단계별 소프트웨어 산출물에 따라 생명주기 전체에 걸쳐서 적용 가능하고, UML 표기법에 의한 사용자와 의사소통으로 이해가 항상 가능하기 때문에 LOC 및 기존 기능점수 측정 기법의 한계를 극복하는 장점이 있다. 따라서 본 논문은 최근 객체지향 정보시스템 개발 환경에서 널리 사용되고 있는 UML 표기법 및 국방 CBD 방법론 절차에 의한 정보시스템 개발 프로젝트 진행에 따라 초기단계 시점(ROFP)과 분석단계 시점(AOFP)에서 기능점수를 측정하며, 전통적인 FPA 모델과 객체지향 FPA 모델을 통해 UML 모델링과 산출물을 기반으로 한 유스케이스와 클래스의 상관도 분석에서 서비스 기능과 객체/클래스 기능을 식별하고 기능점수를 구하는 측정기법을 제안한다. 무엇보다 전통적인 기능점수 측정 기법인 IFPUG-CPM 및 소프트웨어 대가기준의 기능점수 측정기법을 개선하여 객체지향 정보시스템 개발에 적합한 기능점수 측정 프로세스를 제시하고 사례연구를 통한 적합성 평가 결과를 제시한다.

• Smart Structures and Systems
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• 제19권6호
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• pp.679-694
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• 2017

The complexity, enlargement and irregularity of structures and multi-directional dynamic loads acting on the structures can lead to unexpected structural behavior, such as torsion. Continuous torsion of the structure causes unexpected changes in the structure's stress distribution, reduces the performance of the structural members, and shortens the structure's lifespan. Therefore, a method of monitoring the torsional behavior is required to ensure structural safety. Structural torsion typically occurs accompanied by displacement, but no model has yet been developed to measure this type of structural response. This research proposes a model for measuring dynamic torsional response of structure accompanied by displacement and for identifying the torsional modal parameter using vision-based displacement measurement equipment, a motion capture system (MCS). In the present model, dynamic torsional responses including pure rotation and translation displacements are measured and used to calculate the torsional angle and displacements. To apply the proposed model, vibration tests for a shear-type structure were performed. The torsional responses were obtained from measured dynamic displacements. The torsional angle and displacements obtained by the proposed model using MCS were compared with the torsional response measured using laser displacement sensors (LDSs), which have been widely used for displacement measurement. In addition, torsional modal parameters were obtained using the dynamic torsional angle and displacements obtained from the tests.

• 대한전기학회논문지:시스템및제어부문D
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• 제50권10호
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• pp.494-501
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• 2001

In this study, the effects of vascular parameter changes and electrodes on VOP measurement based on IPG were simulated mathematically. For the evaluation of the effects of hemodynamic changes on VOP, a mathematical model, which consists of cardiovascular system model and venous occlusion model, was developed and the model solution representing the blood flow and pressure in measuring point was found by 2nd order Runge-Kutta method. And, with sensitivity coefficients obtained from finite element solution of electric field in measuring point, the effects of electrode system on measurement were evaluated. As increasing the resistance, the venous capacitance was not changed but the venous outflows were decreased and the decreased compliance reduced the venous capacitance. And, for several configurations of round electrodes and band electrodes, the sensitivity coefficients were computed using the electric field distribution along deep vein. In conclusion, the proposed mathematical cardiovascular model could be applied to the simulation study on the effects of hemodynamic parameters on DVT diagnosis with IPG. And, also the sensitivity coefficients could provide effective electrode configuration for exact measurement of VOP.

• 한국콘텐츠학회논문지
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• 제19권5호
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• pp.115-127
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• 2019

본 연구는 지방자치단체가 수행하는 다양한 보조사업 중 장애인편의시설설치촉진사업에서 효과적이고 효율적인 성과관리 평가체계구축의 필요성과 실효성에 대해 논의하였다. 이와 함께 사회서비스 영역에서 성과평가시스템을 도입하면서 논리적 구조로 활용되는 논리모형을 적용하여 사회복지시설평가영역에 포함되지 않는 장애인편의시설설치촉진사업의 성과관리 평가지표를 개발함을 목적으로 한다. 이를 위해 문헌검토와 초점집단인터뷰를 통해 성과관리 평가지표를 개발하고 시범평가를 통해 평가지표의 타당성 및 평가용이성 분석을 실시한 후, 시범평가결과를 바탕으로 현장의견조사 및 전문가를 통한 타당성 검토를 진행하여 최종지표를 개발하였다. 최종 개발된 평가지표는 전체 8개 영역, 39개 문항으로 구성되었다. 장애인편의시설설치촉진사업 성과관리 평가체계 구축을 통해 장애인편의시설설치촉진사업 전반의 합리화를 추구하고자 하였으며, 본 연구에서 제시된 성과관리 평가지표의 개념틀과 평가접근 방식은 공공부문의 다양한 사회서비스 유형과 특성에 적합하게 활용될 수 있을 것이다.

• Journal of Astronomy and Space Sciences
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• 제32권4호
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• pp.387-393
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• 2015

This study presents a precise relative navigation algorithm using both laser and Global Positioning System (GPS) measurements in real time. The measurement model of the navigation algorithm between two spacecraft is comprised of relative distances measured by laser instruments and single differences of GPS pseudo-range measurements in spherical coordinates. Based on the measurement model, the Extended Kalman Filter (EKF) is applied to smooth the pseudo-range measurements and to obtain the relative navigation solution. While the navigation algorithm using only laser measurements might become inaccurate because of the limited accuracy of spacecraft attitude estimation when the distance between spacecraft is rather large, the proposed approach is able to provide an accurate solution even in such cases by employing the smoothed GPS pseudo-range measurements. Numerical simulations demonstrate that the errors of the proposed algorithm are reduced by more than about 12% compared to those of an algorithm using only laser measurements, as the accuracy of angular measurements is greater than $0.001^{\circ}$ at relative distances greater than 30 km.

• Geomechanics and Engineering
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• 제22권1호
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• pp.81-95
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• 2020

Measurement of the unconfined compressive strength (UCS) of the rock is critical to assess the quality of the rock mass ahead of a tunnel face. In this study, extensive field studies have been conducted along 3,885 m of the new Nagasaki tunnel in Japan. To predict UCS, a hybrid model of artificial neural network (ANN) based on genetic algorithm (GA) optimization was developed. A total of 1350 datasets, including six parameters of the Measurement-While- Drilling data and the UCS were considered as input and output parameters respectively. The multiple linear regression (MLR) and the ANN were employed to develop contrast models. The results reveal that the developed GA-ANN hybrid model can predict UCS with higher performance than the ANN and MLR models. This study is of great significance for accurately and effectively evaluating the quality of rock masses in tunnel engineering.

• 디지털융복합연구
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• 제11권3호
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• pp.101-113
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• 2013

기존의 방법론 관련 문헌에서는 반영적 지표를 기반으로 다측정 지표들의 개발과 타당성 검정에 관한 다양한 문헌적 고찰을 수행하였음에도 불구하고 형성적 지표에 대한 관심은 부족하였다. 본 연구의 목적은 형성적 지표를 사용함에 있어서 필요한 접근법에 대한 연구자들의 이해를 돕기 위함이다. 또한 연구자들이 자신의 모델을 위해 필요한 적합한 지표의 선택에 도움을 제공하기 위해 형성적 지표의 본질에 대해서도 살펴보고자 한다. 이를 위해 형성적 지표에 대한 기반이론을 살펴보고 다음으로 실증 분석에서 사용된 사례를 통해 형성적 지표의 접근법과 연구수행 절차에 대해 살펴본다. 마지막으로 실증 연구에서 지표의 사용에 관한 제언을 하고자 한다.

• 시스템엔지니어링학술지
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• 제8권1호
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• pp.41-49
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• 2012

Recently, the LISI(Level of Information System Interoperability) model has been used to measure level of interoperability in the Ministry of National Defense. This study is proposed for improvement of interoperability level measurement method. The MND has been devoting a lot of effort to ensure defense weapon system interoperability. They enacted related regulations and developed SITES for measuring the level of interoperability. However, the LISI model has problems with using just only DITA and applying MND-AF based on Architecture development. To overcome these problems, this paper proposes how to apply reference model to LISI Model and how to apply LISI Model to MND-AF architecture development.

• Journal of Electrical Engineering and Technology
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• 제13권5호
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• pp.2107-2115
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• 2018

Over recent years, high-concentration of particulate matters (e.g., a.k.a. fine dust) in South Korea has increasingly evoked considerable concerns about public health. It is intractable to track and report $PM_{10}$ measurements to the public on a real-time basis. Even worse, such records merely amount to averaged particulate concentration at particular regions. Under this circumstance, people are prone to being at risk at rapidly dispersing air pollution. To address this challenge, we attempt to build a predictive model via deep learning to the concentration of particulates ($PM_{10}$). The proposed method learns a binary decision rule on the basis of video sequences to predict whether the level of particulates ($PM_{10}$) in real time is harmful (>$80{\mu}g/m^3$) or not. To our best knowledge, no vision-based $PM_{10}$ measurement method has been proposed in atmosphere research. In experimental studies, the proposed model is found to outperform other existing algorithms in virtue of convolutional deep learning networks. In this regard, we suppose this vision based-predictive model has lucrative potentials to handle with upcoming challenges related to particulate measurement.