• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.53-60
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• 2008

This paper proposes a new multiobjective optimization method for discriminative training of hidden Markov models (HMMs) used as the recognizer for automatic lipreading. While the conventional Baum-Welch algorithm for training HMMs aims at maximizing the probability of the data of a class from the corresponding HMM, we define a new training criterion composed of two minimization objectives and develop a global optimization method of the criterion based on simulated annealing. The result of a speaker-dependent recognition experiment shows that the proposed method improves performance by the relative error reduction rate of about 8% in comparison to the Baum-Welch algorithm.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.5-9
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• 2003

장주기 격자 필터를 이용한 EDFA용 이득평탄화 필터 설계에는 대역폭에 따라 한 개에서 세 개까지의 평탄화가 가능하다 이러한 필터 설계는 EDFA의 고유의 중심 파장, 크기, 대역폭에 대한 각 장주기 광섬유 격자의 중심 파장, 크기, 대역폭을 설정하여 이득평탄화를 최적화시킨다. 이득평탄화 필터의 설계를 위한 방법으로써 수동 설계통한 이득평탄화를 했으나, 신속하고 편리함을 위해 반자동 설계, 자동 설계 프로그램을 구현하였다. 이를 통한 이득평탄화 정도는, 수동이 0.38dB, 반자동 0.57dB, 자동 0.62dB 정도로 정밀한 이득평탄화를 얻을 수 있는 설계가 가능하였다.

• Geophysics and Geophysical Exploration
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• v.23 no.3
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• pp.157-167
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• 2020

With the recent advancement of computer hardware and the contribution of open source libraries to facilitate access to artificial intelligence technology, the use of machine learning (ML) and deep learning (DL) technologies in various fields of exploration geophysics has increased. In addition, ML researchers have developed complex algorithms to improve the inference accuracy of various tasks such as image, video, voice, and natural language processing, and now they are expanding their interests into the field of automatic machine learning (AutoML). AutoML can be divided into three areas: feature engineering, architecture search, and hyperparameter search. Among them, this paper focuses on hyperparamter search with Bayesian optimization, and applies it to the problem of facies classification using seismic data and well logs. The effectiveness of the Bayesian optimization technique has been demonstrated using Vincent field data by comparing with the results of the random search technique.

• Aerospace Engineering and Technology
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• v.7 no.1
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• pp.61-67
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• 2008

To design flight control law of an unmanned aerial vehicle, automated control gain determination program was developed. The procedure for determination of control gain was formulated as the control gains were designed from the optimal solutions of the optimization problem. PSO algorithm, which is one of the evolutionary computation method, and SQP algorithm, which is one of the nonlinear programming method, are used as optimization problem solver. Thru this technique, computation time required for finding the optimal solution is decreased to 1/5 of that of PSO algorithm and more accurate optimal solution is obtained.

• Proceedings of the KIPE Conference
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• 2014.11a
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• pp.152-154
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• 2014

본 논문에서는 단상 5kVA의 용량을 갖는 3-레그 방식의 고효율 자동전압조정기에 최적화된 방열설계가 제안된다. 3-레그 자동전압조정기의 경우 스위칭 알고리즘에 따라 스위칭 횟수가 줄어들어 효율이 좋은 장점이 있다. 스위칭 소자로 IGBT를 사용하여 열 분배가 중요함으로 전력변환 장치의 신뢰성과 안전성을 높일 수 있도록 최적화된 방열설계안을 제시하고 설계의 타당성을 위해 시뮬레이션을 통한 검증을 수행하였다.

• The Transactions of the Korea Information Processing Society
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• v.4 no.8
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• pp.2152-2162
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• 1997

We developed an approach to automatically synthesize time-stationary controllers for a given pipelined data path of Application Specific Integrated Circuits (ASICs). This work consists of automated production of control specifications and Finite State Machine (FSM) Optimization. A FSM controller is implemented by performing horizontal partitioning so as to minimize the total controller area. We compared our approach to published work on FSM generation and optimization, and the results indicate large savings in total controller area.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.1
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• pp.17-28
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• 2010

This paper presents a new automatic TFT-LCD image quality optimization system using DSP for the first time. Since conventional manual method depends on experiences of LCD module developers, it is highly labor-intensive and requires several correction steps providing large gamma correction error. The proposed system optimizes automatically gamma adjustment and power setting registers in mobile TFT-LCD driver IC to reduce gamma correction error, adjusting time, and flicker. It contains module-under-test (MUT, TFT-LCD module), PC installed with program, multimedia display tester for measuring luminance and flicker, and control board for interface between PC and TFT-LCD module. We have developed a new algorithm using 6-point programmable matching technique with reference gamma curve and applying automatic power setting sequence. Developed algorithm and program are generally applicable for most of the TFT-LCD modules. It is realized to calibrate gamma values of 1.8, 2.0, 2.2 and 3.0, and reduce flicker level. The control board is designed with DSP and FPGA, and it supports various interfaces such as RGB and CPU. Developed automatic image quality optimization system showed significantly reduced gamma adjusting time, reduced flicker, and much less average gamma error than conventional manual method. We believe that the proposed system is very useful to provide high-quality TFT-LCD and to improve developing process using optimized gamma-curve setting and automatic power setting.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.754-757
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• 2007

This paper presents automatic LCD gamma control system using gamma curve optimization. It controls automatically gamma adjustment registers in mobile LCD driver IC to reduce average gamma error and adjusting time. The proposed gamma system contains module-under-test (MUT, LCD module), PC installed with program, multimedia display tester for measuring luminance, and control board for interface between PC and LCD module. We have developed a new algorithm using 6-point programmable matching technique with reference gamma curve. Developed algorithm and program are generally applicable for most of the LCD modules.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2009.04a
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• pp.400-403
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• 2009

본 연구에서는 평판 스페이스 프레임 구조물의 크기 및 형상최적화 기법을 개발하고자 한다. 이를 위해 평판 스페이스 프레임의 물량에 영향을 미치는 요소인 격자분할 수와 상 하부 평판사이의 높이를 주요 설계변수로 선정함으로써 부재크기 최적화뿐만 아니라 형상최적화 방안도 제시하였다. 또한 평판 스페이스 프레임의 절점 및 부재 자동생성방안이 고려되며 감도해석기법을 이용하여 개발된 최적화 프로그램을 예제모델에 적용하여 설계변수 변화에 따른 구조시스템의 최적의 대안을 강구하고자 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.36 no.3
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• pp.229-237
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• 2008

In this research, a MDO(multi-disciplinary design optimization) framework, which integrates aerodynamic and structural analysis to design an aircraft wing, is constructed. Whole optimization process is automated by a parametric-modeling approach. A CFD mesh is generated automatically from parametric modeling of CATIA and Gridgen followed by automatic flow analysis using Fluent. Finite element mesh is generated automatically by parametric method of MSC.Patran PCL. Aerodynamic load is transferred to Finite element model by the volume spline method. RSM(Response Surface Method) is applied for optimization, which helps to achieve global optimum. As the design problem to test the current MDO framework, a wing weight minimization with constraints of lift-drag ratio and deflection of the wing is selected. Aspect ratio, taper ratio and sweepback angle are defined as design variables. The optimization result demonstrates the successful construction of the MDO framework.