• 한국축산식품학회지
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• 제43권2호
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• pp.374-381
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• 2023

In a previous study, 'response surface methodology (RSM) using a fullest balanced model' was proposed to improve the optimization of food processing when a standard second-order model has a significant lack of fit. However, that methodology can be used when each factor of the experimental design has five levels. In response surface experiments for optimization, not only five-level designs, but also three-level designs are used. Therefore, the present study aimed to improve the optimization of food processing when the experimental factors have three levels through a new approach to RSM. This approach employs three-step modeling based on a second-order model, a balanced higher-order model, and a balanced highest-order model. The dataset from the experimental data in a three-level, two-factor central composite design in a previous research was used to illustrate three-step modeling and the subsequent optimization. The proposed approach to RSM predicted improved results of optimization, which are different from the predicted optimization results in the previous research.

• 한국멀티미디어학회논문지
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• 제19권3호
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• pp.603-611
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• 2016

Educational games offer an opportunity to engage and inspire students to take an interest in every subject material in school. The "fun" obtain when playing games become a trigger for the use of games in learning. However, there are doubts whether the players actually learn while they are having fun. Vidyanusa is an Online Mathematics Education Game being developed by Crayonpedia Education Ecosystem in Indonesia. The learning goal of Vidyanusa is to engage junior high school students in learning mathematics. In this paper, we design the Vidyanusa game material Functions and Relations by using Balanced Design Approach. This approach has three models in succession; the Content Model outlines the purpose of the game, the Task Model maps out the mission, and the Evidence Model outlines student measurement. This paper will then discusses the quality of games produced in term of Usability factor for effective results and objective. The measurement of the game was carried out based on International Standard ISO/IEC 9126-1 FDIS about Software Quality Product.

• Journal of the Korean Statistical Society
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• 제32권2호
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• pp.175-191
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• 2003

An empirical Bayesian approach is discussed for estimation of characteristics from the two-way balanced rotation sampling design which includes U.S. Current Population Survey and Canadian Labor Force Survey as special cases. An empirical Bayesian estimator is derived for monthly effect under presence of two types of biases and correlations It is shown that the marginal distribution of observation provides more general correlation structure than that frequentist has assumed. Consistent estimators are derived for hyper-parameters in Normal priors.

• 한국콘텐츠학회논문지
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• 제16권12호
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• pp.600-621
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• 2016

본 연구는 드림스타트에 참여하는 저소득 가정의 유아들을 위해 균형적 언어교육 프로그램 모형을 개발하고 적용하는 데 목적이 있다. 프로그램 개발은 균형적 언어교육의 기본 관점 및 교수학습방법의 특징을 기초로 하였으며 교수체제 개발의 일반적인 모형인 ADDIE에 근거하여 분석-설계-개발-실행-평가의 절차에 따라 진행되었다. 개발된 프로그램은 균형적 언어교육 접근법의 관점에서 총체적 그림책 읽기와 구조화된 읽기, 쓰기 프로그램을 포함하는 프로그램의 내용, 교수학습 원리, 교수학습 전략 등의 교수학습방법, 교수학습평가체제가 제시되었다. 프로그램의 적용은 2015년 6월부터 11월 초반까지 드림스타트에 참여하는 유아 20명을 대상으로 이루어졌으며 유아 읽기 발달 검사, 교사 저널, 부모 만족도 조사를 통해 적용된 프로그램을 평가하였다. 적용결과, 유아들의 읽기 발달에 있어서 향상되는 경향성을 보였으며 교사저널의 질적 분석 결과 책 선호도, 글자에 대한 관심, 개별화된 언어교수법의 효과성 등 문해 발달의 기초적 능력의 향상에서 프로그램의 우수성을 찾을 수 있었다. 본 연구는 균형적 언어교육 접근법의 관점에서 저소득 가정 유아의 문해 발달을 지원하는 구체적인 프로그램의 실행방법을 제시했다는 점에서 그 의의를 찾을 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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• pp.34-39
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• 1991

In this paper, we provide a treatment of the $H^{\infty}$-mixed sensitivity optimization approach to feedback system design. With compromising between the effect of a disturbance at the plant output and the effect of plant perturbations, we propose an algorithm to design robust controller. A $H^{\infty}$-optimization problem is to be equivalent to a Hankel-approximation, this enables the problem to be solved using state-space methods based on balanced realizations.s.

• 제어로봇시스템학회논문지
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• 제5권6호
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• pp.667-675
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• 1999

In this paper, we propose a robust controller design of RTP(Rapid Thermal Processing) system using structured uncertainty approach. Using the weighted mixed sensitivity function, we solve the robust stability problem against disturbance and temperature variation, and design a $\mu$ controller using curve fitting method against structured uncertainty. Also the reduction method should be requried because of the difficulty of implementaion with the obtained high order controller. We dal with robust stability and performance of RTP system by the design of $\mu$ controller for original model and Schur balanced reduced model. Finally the simulation results are proposed to show the validity of the proposed method.

• 품질경영학회지
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• 제23권3호
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• pp.126-139
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• 1995

We describe a formal approach to the construction of optimal classification rule for the two-group normal classification with equal population mean problem. Based on the utility function of Bernardo, we suggest a balanced design for the classification and construct the optimal rule under the balanced design condition. The rule is characterized by a constrained minimization of total risk of misclassification, the constraint of which is constructed by the process of equation between expected utilities of the two group conditional densities. The efficacy of the suggested rule is examined through numerical studies. This indicates that, in case little is known about the relative population sizes, dramatic gains in accuracy of classification result can be achieved.

• Journal of Information Processing Systems
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• 제10권2호
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• pp.314-333
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• 2014

When analyzing default predictions in real estate companies, the number of non-defaulted cases always greatly exceeds the defaulted ones, which creates the two-class imbalance problem. This lowers the ability of prediction models to distinguish the default sample. In order to avoid this sample selection bias and to improve the prediction model, this paper applies a minority sample generation approach to create new minority samples. The logistic regression, support vector machine (SVM) classification, and neural network (NN) classification use an imbalanced dataset. They were used as benchmarks with a single prediction model that used a balanced dataset corrected by the minority samples generation approach. Instead of using prediction-oriented tests and the overall accuracy, the true positive rate (TPR), the true negative rate (TNR), G-mean, and F-score are used to measure the performance of default prediction models for imbalanced dataset. In this paper, we describe an empirical experiment that used a sampling of 14 default and 315 non-default listed real estate companies in China and report that most results using single prediction models with a balanced dataset generated better results than an imbalanced dataset.

• 한국ITS학회 논문지
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• 제2권2호
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• pp.97-101
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• 2003

본 논문에서는 Ku-band용 주파수 하향변환기에 사용할 수 있는 MMIC (monolithic microwave integrated circuit) mixer를 InGaAs/GaAs p-HEMT 공정의 Schottky diode를 이용하여 설계 및 제작하였다. 일반적인 double balanced mixer의 구조에서 IF단자와 LO 단자를 서로 바꾸어 설계함으로써 mC chip의 크기를 크게 줄일 수 있었다. 설계된 MMIC mixer는 RF(14.0 - 14.5 GHz)와 IF(12.252 - 12.752 GHz)의 주파수 대역에서 사용할 수 있다. 제작된 초소형의 MMIC mixer chip은 크기가 3.3 m X 3.0 m이고, on-wafer측정 결과 9.8 dB 이하의 변환손실과 23 dB 이상의 RF-to-IF 격리도 및 38 dB 이상의 LO-to-IF 격리도의 특성을 각각 얻었다.

• 대한기계학회논문집
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• 제18권2호
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• pp.339-350
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• 1994

This paper presents a method for automatic generation of line balanced assembly sequences based on disassemblability and proposes a method of evaluating an assembly work time using neural networks. Since a line balancing problem in flexible assembly system requires a sophisticated planning method, reasoning about line balanced assembly sequences is an important field of concern for planning assembly lay-out. For the efficient inference of line balanced assembly sequences, many works have been reported on how to evaluate an assembly work time at each work station. However, most of them have some limitations in that they use cumbersome user query or approximated assembly work time data without considering assembly conditions. To overcome such criticism, this paper proposes a new approach to mathematically verify assembly conditions based on disassemblability. Based upon the results, we present a method of evaluating assembly work time using neural networks. The proposed method provides an effective means of solving the line balancing problem and gives a design guidance of planning assembly lay-out in flexible assembly application. An example study is given to illustrate the concepts and procedure of the proposed scheme.