• Korea Real Estate Review
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• v.28 no.3
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• pp.21-35
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• 2018

The recent performance of residential mortgages demonstrated how default risk operated separately from prepayment risk. In this study, we investigated the determinants of the borrowers' decisions pertaining to early termination through default from the mortgage performance data released by Freddie Mac, involving securitized mortgage loans from January 2011 to September 2013. We estimated a Cox-type, proportional hazard model with a single risk on fundamental factors associated with default options for individual mortgages. We proposed a mortgage default model that included two specifications of delinquency: one using a delinquency binary variable, while the other using a delinquency probability. We also compared the results obtained from two specifications with respect to goodness-of-fit proposed in the spirit of Vuong (1989) in both overlapping and nested models' cases. We found that a model with our proposed delinquency probability variable showed a statistically significant advantage compared to a benchmark model with delinquency dummy variables. We performed a default prediction power test based on the method proposed in Shumway (2001), and found a much stronger performance from the proposed model.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.1
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• pp.33-38
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• 2020

This paper proposes a technique for counting construction materials by analyzing an image acquired by a Drone. The proposed technique use drone log which includes drone and camera information, RCNN for predicting construction material type, dummy area and Photogrammetry for counting the number of construction material. The existing research has large error ranges for predicting construction material detection and material dummy area, because of a lack of training data. To reduce the error ranges and improve prediction stability, this paper increases the training data with a method of data augmentation, but only uses rotated training data for data augmentation to prevent overfitting of the training model. For the quantity calculation, we use a drone log containing drones and camera information such as Yaw and FOV, RCNN model to find the pile of building materials in the image and to predict the type. And we synthesize all the information and apply it to the formula suggested in the paper to calculate the actual quantity of material pile. The superiority of the proposed method is demonstrated through experiments.

• The Journal of the Acoustical Society of Korea
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• v.20 no.6
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• pp.94-103
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• 2001

The goal of using numerical methods in this study is two-fold: to replicate a set of measured, individualized HRTFs by a computer simulation, and also to visualise the resultant sound field around the head. Two methods can be wed: the Boundary Element Method (BEM) and the Infinite-Finite Element Method (IFEM). This paper presents the results of a preliminary study carried out on a KEMAR dummy-head, the geometry of which was captured with a high accuracy 3-D laser scanner and digitiser. The scanned computer model was converted to a few valid BEM and IFEM meshes with different polygon resolutions, enabling us to optimise the simulation for different frequency ranges. The results show a good agreement between simulations and measurements of the sound pressure at the blocked ear-canal of the dummy-head. The principle of reciprocity provides an effect method to simulate HRTF database. The BEM was also used to investigate the total sound field around the head, providing a tool to visualise the sound field for different arrangements of virtual acoustic imaging systems.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.526-533
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• 2016

The researches protecting user's location in location-based services(LBS) have received much attention. Especially k-anonymity is the most popular privacy preservation method. k-anonymization means that it selects k-1 other dummies or clients to make the cloaking region. This reduced the probability of the query issuer's location being exposed to untrusted parties to 1/k. But query's location may expose to adversary when k-1 dummies are concentrated in query's location or there is dummy in where query can not exist. Therefore, we proposed the dummy system model and algorithm taking the real environment into account to protect user's location privacy. And we proved the efficiency of our method in terms of experiment result.

• Korean Journal of Construction Engineering and Management
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• v.13 no.2
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• pp.91-101
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• 2012

In planning phase of Public Multi-Housing Projects, it is required to develop the methodology and criteria for fair cost prediction with influencing power from planning phase to occupancy phase. Many studies still have focused on the prediction of cost by multiple regression. However, there is no logical explanation about the influence of nonmetric variables for the prediction of cost in planning phase. Accordingly, this research pursues a cost prediction model including nonmetric variables for use in planning phase. There are 3 steps of this research : 1) Finding the factors influencing construction cost and assigning variables for a multiple regression. 2) Conducting a dummy regression analysis with nonmetric variables and model validation by comparing actual cost data. 3) Developing the ratio of RC structure cost to wall structure cost by using cost predection model. The results could establish cost prediction process including the influence of nonmetric variables and the ratio of RC structure cost to wall structure cost.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.1
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• pp.145-152
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• 2004

This paper compares seat vibrations of a small passenger car and a SUV. The results also include the comparison of the human body accelerations and the ride values, such as the component ride values, and SEAT values of 12 axis accelerations obtained at the human body and seat track. The ride comfort evaluation is usually carried out by experiments of real cars which are expensive and sometimes may contain errors by passenger's postures. Simulations by computer, on the other hand, enable to solve these problems when the accuracy is proven. This paper, thus, also shows the correlation of human body vibration between experiments and computer simulations. For the computer simulation, korean dummy models are developed from the Hybrid III models by scaling the body data of Hybrid III to those of Korean men and women. From the comparison between the test data and simulation data, a nice correlation in trends was shown.

• Review of KIISC
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• v.18 no.6
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• pp.43-57
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• 2008

기업 내 정보기술 유출의 대부분은 내부 근무자에서 비롯되고 있다. 본 연구는 기업 내부 근무자들의 사무환경에서 정보기술 유출 예방을 위해 적용하고 있는 기술적 사례들을 4개의 측면(PC내 정보가 PC 인터페이스 장치에 의해 외부로 나가는 방법을 통제, 네트워크를 통해 사외로 나가는 방법을 통제, PC내 정보를 암호화 저장, 개인 PC를 더미 터미널로 사용하고 실 정보는 서버로 저장하는 네트워크 컴퓨팅)으로 고찰하고 그에 따른 최적화 방안으로 복합형 모델을 제시하면서 이를 적용한 사례와 정책적 요소를 제시하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.649-652
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• 2019

최근에 카메라를 사용하여 물체를 인식하고 수량을 측정하는 연구가 진행되고 있다. 하지만 건축 자재와 같이 인접한 동일 물체의 경우, 인식과 측정이 어려우며, 이와 관련된 연구는 부족한 실정이다. 본 논문에서는 이러한 문제를 해결하기 위해 딥러닝과 드론을 사용하는 방법을 통하여 자재 더미의 윗면과 측면의 촬영, 드론 로그를 사용하한 드론 높이와 Yaw값 획득, 영상 내 자재 종류와 영역 정보 등 미리 학습된 딥러닝 모델을 사용한 획득방법, 드론 촬영 시의 Yaw값 차이를 이용해 윗면과 측면이 공통으로 가지는 직선 검색, 자재 더미의 가로, 세로, 높이의 비율 등을 통한 각 화소 비율과 자재 개수의 영역별 가상의 체적값 분석, 드론의 화각, 높이를 사용한 체적 사진측량값 획득, 가상 체적과 사진측량법 사이의 오차 최소화 비율 등을 연구하였다.

• Proceedings of the KAIS Fall Conference
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• 2005.05a
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• pp.83-85
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• 2005

본 연구는 측면 충돌 시 발생하는 상해치를 분석하고 측면 충돌 시 시트윙(seat wing)이 운전자 상해에 미치는 영향을 비교 분석하는데 그 목적이 있으며, 이를 효율적으로 수행하기 위하여 모델(door trim)을 단순화하여 원활한 해석이 가능하도록 해석 모델을 구성하였다. 측면 충돌의 경우 운전석의 에어백과 안전 밸트 사이에서 운전자가 도어에 직접적인 충돌에너지를 받으므로 상해치가 정면충돌에 비해 상당히 높아질 수 있다. 측면 충돌 시 시트윙(seat wing)의 장착 유/무에 따른 차이를 더미 (TNO&JARI)모델을 이용한 Madymo 해석을 통하여 상해치 저감효과를 입증하고자 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.33 no.11
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• pp.95-105
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• 2005

The HAUSAT-2 nanosatellite which is scheduled to launch in 2008 is being developed by SSRL(Space System Research Lab.). The HAUSAT-2 STM(Structural-Thermal Model) was developed as the first system model to verify structural and thermal design margin. The qualification level vibration and thermal tests have been conducted on STM. This paper addresses the comparison of structural analysis and test results of HAUSAT-2 STM. It was shown that the natural frequency of HAUSAT-2 STM satisfies the stiffness requirements without structural damage in the random vibration test. The assembly and integration validity were also checked out through STM.