• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.596-599
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• 2008

본 연구에서는 MicroTec을 이용하여 MOSFET 전송 특성을 분석하였다. MicroTec의 Semsim은 디바이스 시뮬레이터로써 입력 바이어스에 의해 공정 시뮬레이션인 SiDif와 디바이스 조립인 MergIC에 의해 소자를 시뮬레이션 한다. 소자에 대한 스케일링은 정전압 스케일링을 사용하였고, 채널의 길이는 100nm, 50nm, 25nm로 변화하면서 비교 분석하였다. MicroTec의 이동도 모델중 Lombardi, Constant, Yamaguchi 모델을 선택하여 이동도 모델을 비교하였다. 전류-전압 특성 곡선을 비교하였을때 Lombardi 모델과 Yamaguchi 모델보다 Constant 모델에서 결과값이 높게 나타는 것을 알 수 있었다. 또한 MicroTec의 유용성을 조사하여 시뮬레이터로서 적합함과 나노구조 소자의 스케일링 이론의 적합함을 보았다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.4
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• pp.393-401
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• 1999

Non-point source pollution poses a serious threat to river. therefore non-point pollution model was developed. This non-point pollution model requires detailed spatial data for accurate predictions Geo-spatial Information System(GSIS) is well suited to those needs. The parameters for these models provided by the GSIS were slope, slope shape, field slope length and SCS run off curve number. Hence, this study presents an application of GSIS processing tools for AGNPS model developed by the ARS(Agricultural Research Service) in cooperation with the MPCA(Minnesota Pollution Control Agency) and has developed interface that construct the input data of ASCII type in the AGNPS model using GSIS.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.383-386
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• 2019

4 차산업혁명의 발달은 전 세계가 건강한 삶에 관련된 스마트시티 및 맞춤형 치료에 큰 관심을 갖게 하였고, 특히 기계학습 기술은 암을 극복하기 위한 유전체 기반의 정밀 의학 연구에 널리 활용되고 있어 암환자의 예후 예측 및 예후에 따른 맞춤형 치료 전략 수립 등을 가능케하였다. 하지만 암 예후 예측 연구에 주로 사용되는 유전자 발현량 데이터는 약 17,000 개의 유전자를 갖는 반면에 샘플의 수가 200 여개 밖에 없는 문제를 안고 있어, 예후 예측을 위한 신경망 모델의 일반화를 어렵게 한다. 이러한 문제를 해결하기 위해 본 연구에서는 고차원의 유전자 발현량 데이터를 신경망 모델이 효과적으로 학습할 수 있도록 2D 이미지로 표현하는 기법을 제안한다. 길이 17,000 인 1 차원 유전자 벡터를 64×64 크기의 2 차원 이미지로 사상하여 입력크기를 압축하였다. 2 차원 평면 상의 유전자 좌표를 구하기 위해 유전자 네트워크 데이터와 Node2Vec 이 활용되었고, 이미지 기반의 암 예후 예측을 수행하기 위해 합성곱 신경망 모델을 사용하였다. 제안하는 기법을 정확하게 평가하기 위해 이중 교차 검증 및 무작위 탐색 기법으로 모델 선택 및 평가 작업을 수행하였고, 그 결과로 베이스라인 모델인 고차원의 유전자 벡터를 입력 받는 다층 퍼셉트론 모델보다 더 높은 예측 정확도를 보여주는 것을 확인하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.3
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• pp.35-42
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• 2007

We describe the problem of reducing the key material in the Even-Mansour cipher without security degradation. Even and Mansour proposed a block cipher based on XORing secret key material just prior to and after applying random oracle permutation P such that $C=k_2\bigoplus P(M\bigoplus k_1)$. Recently, Gentry and Ramzan showed that this scheme in the random permutation oracle can be replaced by the four-round Feistel network construction in the random function oracle and also proved that their scheme is super-pseudorandom. In this paper we reduce the key size from 2n to n, which is the optimal key size of Even-Mansour cipher in the random function oracle model and also give almost the same level of security.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.292-292
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• 2021

최근 데이터 과학의 획기적인 발전으로 딥러닝(Deep Learning) 알고리즘이 개발되어 다양한 분야에 널리 적용되고 있다. 본 연구에서는 인공신경망 중 하나인 LSTM(Long-Short Term Memory) 네트워크를 기반으로 정확한 댐유입량 예측을 수행하는 SWLSTM 모델을 제안하였다. SWLSM은 모델의 정확도를 개선하기 위해 세 가지 주요 아이디어를 채택하였다. (1) 통계적 속성 (PACF) 및 교차 상관 함수(CCF)를 사용하여 적절한 입력 변수와 시퀀스 길이를 결정하였다. (2) 선택된 입력 예측 변수 시계열을 웨이블릿 변환(WT)을 사용하여 하위 시계열로 분해한다. (3) k-folds cross validation 및 random search 기법을 사용하여 LSTM의 하이퍼 매개변수들을 효율적으로 최적화하고 검증한다. 제안된 SWLSTM의 효과는 한강 유역 5개 댐의 시단위/일단위/월단위 유입량을 예측하고 과거 자료와 비교함으로써 검증하였다. 모델의 정확도는 다양한 평가 메트릭(R2, NSE, MAE, PE)이 사용하였으며, SWLSTM은 모든 경우에서 LSTM 모델을 능가하였다. (평가 지표는 약 30 ~ 80 % 더 나은 성능을 보여줌). 본 연구의 결과로부터, 올바른 입력 변수와 시퀀스 길이의 선택이 모델 학습의 효율성을 높이고 노이즈를 줄이는 데 효과적임을 확인하였다. WT는 홍수 첨두와 같은 극단적인 값을 예측하는 데 도움이 된다. k-folds cross validation 및 random search 기법을 사용하면 모델의 하이퍼 매개변수를 효율적으로 설정할 수 있다. 본 연구로부터 댐 유입량을 정확하게 예측한다면 정책 입안자와 운영자가 저수지 운영, 계획 및 관리에 도움이 될 것이다.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.11a
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• pp.169-172
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• 2008

Longitudinal elongation develops in reinforced concrete beams that exhibit flexural yielding during cyclic loading. The longitudinal elongation can decrease the shear strength and deformation capacity of the beams. In the present study, nonlinear truss model analysis was performed to study the elongation mechanism of reinforced concrete beams. The results showed that residual tensile plastic strain of the longitudinal reinforcing bar in the plastic hinge is the primary factor causing the member elongation, and that the shear-force transfer mechanism of diagonal concrete struts has a substantial effect on the magnitude of the elongation. Based on the analysis results, a simplified method for evaluating member elongation was developed. The proposed method was applied to test specimens with various design parameters and loading conditions..

• Journal of Dental Rehabilitation and Applied Science
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• v.31 no.3
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• pp.186-194
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• 2015

Purpose: To evaluate the effects of implant location and length on stress distribution and displacement in osseointegrated-implants that were associated with mandibular distal extension removable partial dentures (DERPD). Materials and Methods: A sagittally cut model with the #33, #34 teeth and a removable partial denture of the left mandible was used. Seven models were designed with NX 9.0. Models A, B, C had implants with lengths of 11, 6, 4 mm, respectively, under the denture base of the #37 artificial tooth. Models D, E, F had implants with lengths of 11, 6, 4 mm, respectively, under the denture base of the #36 artificial tooth. Model G did not have any implants. Axial force (250 N) was loaded on #36 central fossa. The finite element analysis was performed with MSC Nastran. Von Mises stress maps were plotted to visualize the results. Results: The models of #37 implant placement showed much lower stress concentration on the surrounding bone of the implant compared with #36. The #36 implant position tended to reduce displacement more than #37. Conclusion: When an IARPD is designed, the distal positioning of implant placement has more advantages in the edentulous bone of DERPD on the prognosis of short implants and the stress distribution of edentulous alveolar bone. Using implants with longer lengths are important for stress distribution. However, Additional studies are necessary of the effects of length on implant survival.

• Nuclear Engineering and Technology
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• v.26 no.3
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• pp.401-410
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• 1994

Validation study of two radionuclide migration models for single fracture developed in geologic medium the hydrodynamic dispersion diffusion model(HDDM) and the channeling dispersion diffusion model(CDDM), was studied by migration experiment of tracers through an artificial granite fracture on the labolatory scale. The tracers used were Uranine and Sodium lignosulfonate know as nonsorbing material. The flow rate ranged 0.4 to 1.5 cc/min. Related parameters for the models were estimated by optimization technique. Theoretical breakthrough curves with experimental data were compared. In the experiment, it was deduced that the surface sorption for both tracers did not play an important role while the diffusion of Uranine into the rock matrix turned out to be an important mass transfer mechanism. The parameter characterizing the rock matrix diffusion of each model agreed well The simulated result showed that the amount of flow rate could not tell the CDDM from the HDDM quantitatively. On the other hand, the variation of fracture length gave influence on the two models in a different degree. The dispersivity of breakthrough curve of the CDDM was more amplified than that of the CDDM when the fracture length was increased. A good agreement between the models and experimental data gave a confirmation that both models were very useful in predicting the migration system through a single fracture.

• The Journal of the Korea Contents Association
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• v.20 no.5
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• pp.46-57
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• 2020

The dissemination of smart devices has made a lot of changes in overall social activities. In particular, people use various types of smart devices in their spare time, such as watching video clips, but there is a lack of research on external factors influencing the attitude toward using such devices. Therefore, in this study, the effects of video viewing environmental factors (e.g. screen size and video length) and personal factors (e.g. gender and need for entertainment) on perceived ease of use, perceived usefulness, and attitude to use devices based on technology acceptance model. As a result of analyzing 660 users having different smart devices, the attitude to use smart devices is more positive as the screen size increases, but there is no difference according to gender. In addition, while the length of video clips does not affect the attitude to use, the need for entertainment positively affects the attitude to use. Based on the results of this study, we expect that it can be used for optimized customer marketing and management strategy that integrates product development and video content production in consideration of factors such as video viewing environmental factors and personal factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.24-35
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• 2018

In wireless communications environments, a link adaptation technique that selects the proper rate from among several transmission rates is adopted to cope with variations in channel status. In block coded modulation, the frame time and/or the block length can be adjusted to the channel status. A smaller frame time can cause inter-frame interference (IFI), however, a larger frame time can reduce the data rate. Therefore, frame time is the design factor decided by a tradeoff between performance and the data rate. This paper presents a method to determine the frame time based on the processing gain for the channel model, CM1~CM4, recommended by IEEE 802.15a. Also, a link adaptation technique for block coded modulation is proposed for efficient communications by varying the frame time and the block length. Through simulation, link adaptation can be carried out with a step size of 2~5 nsec in a frame time range of 14~ 50 nsec for channel models CM1~CM4.