• Journal of the Korea Society of Computer and Information
• /
• v.26 no.4
• /
• pp.213-221
• /
• 2021

In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of 'League of Legends (LOL).' The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the '2020 League of Legends Worlds Championship' utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --- 'Dragon Gap', 'Level Gap', 'Blue Rift Heralds', and 'Tower Kills Gap,' and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2008.11a
• /
• pp.914-917
• /
• 2008

This paper was to discuss the case and cause of debonding defect of wood floor board in apartment house by investigating actual survey. Most frequent defect in wood floor board was debonding of floor board. Scratch, gap and crack of floor board were also found in floor board installment work. Causes of debonding of floor board is shrinkage of cement mortar beneath floor board and expansion of floor board. Haste in floor board work did not provide enough time to dry cement mortar fully, which led to continue to dry after the installment of floor board. It caused moisture movement toward wood floor board. Accordingly, Before floor board work, careful consideration on moisture condition of cement mortar and enough curing time to eliminate the effect of moisture are taken into.

• Environmental and Resource Economics Review
• /
• v.23 no.3
• /
• pp.409-434
• /
• 2014

This paper estimates household demand for electricity using a micro-level household expenditure data set. A two-stage estimation method where the endogenous block price estimates are obtained from a discrete block choice model is used. This method successfully identifies a downward sloping conditional demand function with the data, while both the usual two-stage method with instrumental variable estimation and the Hewitt-Hanemann discrete-continuous model fail to do that. The paper simulates the impacts of two hypothetical pricing reforms that reduce the number of blocks and make the price gap smaller. It is shown that the reform may increase the overall consumer benefit, but is regressive.

• Journal of the Korean School Mathematics Society
• /
• v.26 no.2
• /
• pp.87-110
• /
• 2023

This study aimed to proposed repeated reading aloud, which combines repetitive reading and reading aloud, as a method for teaching and learning mathematics. We investigated the effect of repeated reading aloud on students' academic achievement and cognitive load, and explored the implications of repeated reading aloud as a method for teaching and learning mathematics. To this end, we conducted a case study involving repeated reading aloud for two units: the limit of a function and the number of cases. The study targeted four 9th-grade students and four 10th-grade students, analyzing how their academic achievement and cognitive load changed. As a result, the eight students showed positive changes in academic achievement and cognitive load as the repeated reading aloud accumulated. When comparing the units, the academic achievement was lower for the limit of function than the number of cases. In terms of cognitive load, students exhibited higher cognitive load in the unit on the limit of function. When compared cognitive load by grade, there was no significant difference after 3rd repeated reading. However, in both units, the academic achievement of four 10th-grade students was higher than that of four 9th-grade students. Nonetheless, the gap narrowed as the reading aloud was repeated.

• The Journal of Information Systems
• /
• v.16 no.1
• /
• pp.1-21
• /
• 2007

신용평점을 위한 부도예측의 분류 문제를 다루는데 있어서 통계적 판별분석 및 인공신경망 및 유전자알고리즘 등을 이용한 데이터 마이닝의 방법들이 일반적으로 고려되어왔다. 이 연구에서는 수리계획법을 응용하여 classification gap을 고려한 이단계 수리계획 접근방법을 신용평가에 적용하는 방법론을 제안하여 수리계획법을 통한 신용평가모형 구축의 가능성을 제시한다. 1단계에서는 선형계획법을 이용해서 대출 신청자에게 대출을 허가할 것 인지의 여부를 결정하게 되는 대출 심사 filtering으로의 적용단계이고, 2단계에서는 정수계획법을 이용하여 오분류 비용이 최소가 되도록 하는 판별점수를 찾는 과정으로 모형을 구성한다. 개인 대출 신청자의 데이터(German Credit Data)에 대하여 피셔의 선형 판별함수, 로지스틱 회귀모형 및 기존의 수리계획 기법들과의 비교를 통해서 제안된 모델의 성능을 평가한다. 이단계 수리계획 접근법의 평가 결과를 통하여 신용평가모형에의 적용가능성을 기존 통계적인 접근방법 및 수리계획 접근법과 비교하여 제시하고 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2007.12a
• /
• pp.63-64
• /
• 2007

대양 항행하는 거의 모든 선박에서 항해사를 도와 선박의 회두각 유지 및 변침을 목적으로 사용되는 일반적인 오토파일럿 시스템용 대부분 PID형 제어기가 장착되어 있다. 오토파일럿 시스템의 제어상수는 운항 경제성 관점에서 선박의 추진 에너지 손실량(연료소비량)으로써 평가해야 한다. 본 논문에서는 선박 자동 조타 시스템의 정량적인 평가함수를 바탕으로 추진 에너지 손실량이 최소가 되도록 오토파일럿의 제어상수를 구하고자 한다. 이 때 제약조건, 즉 설계사양을 고려한 RCGA를 이용하여 제어상수를 탐색하고, 제안한 방법을 시뮬레이션을 통해 검증한다.

• Journal of the Korean Magnetics Society
• /
• v.6 no.4
• /
• pp.258-263
• /
• 1996

Air gap flux density and d, q axis inductances of the Interior Permanent Magnet Synchronous Motor obtained by equivalent magnetic circuit method are compensated using results from Finite Element Method. For optimal design, the efficiency of the motor is taken as the objective function, and Genetic Algorithm finds the value of design parameters which maximize the objective function. The result of optimal designed motor is examined by comparison with proto-type motor.

• ETRI Journal
• /
• v.13 no.4
• /
• pp.42-51
• /
• 1991

MBE 성장시 기판 표면에서의 성장과정을 운동론적 지배과정과 열역학적 지배과정으로 나누어 성장모델을 제시하였으며, 화학적 평형상태에서의 열역학이 III-V compound의 성장속도와 composition 에 미치는 영향을 기존의 보고된 결과 데이터와 비교 분석하였다. 특히 miscibility gap 내에 존재하는 III-V ternary compound의 경우 박막의 성질 및 소자의 특성에 영향을 미치는 alloy clustering은 저온 성장시 surface kinetics에 의해, 고온성장시에는 열역학적 spinodal decomposition에 의해 결정됨을 알수 있었다. 열역학적 모델에서는 기판과 layer사이의 lattice mismatch와 재료의 elastic coefficient의 함수인 additive strain Gibbs free energy, 그리고 ternary solid solution의 regular behavior를 가정하여 ternary alloy의 mixing에 기인한 excess Gibbs free energy를 고려하였다.

• Proceedings of the KIEE Conference
• /
• 2003.07b
• /
• pp.855-857
• /
• 2003

A slotless Permanent Magnet Linear Synchronous Motor (PMLSM) has good control ability but thrust density is low. So, this paper proposes inserted core type of slotless PMLSM to improve its low thrust density. Inserting the core between windings of each phase, detent force is generated by the difference of magnetic resistance in an air gap. To minimize detent force and maxize thrust, this paper applies the neural network to inserted core type of slotless PMLSM.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2006.11a
• /
• pp.279-282
• /
• 2006

본 논문은 시간지연을 갖는 이산 비선형 시스템에 대한 점근적 안정화 및 $H_{\infty}$ 성능을 갖는 퍼지 제어기 설계 방법을 제안한다. 시간지연을 갖는 이산 Takagi-Sugeno 퍼지 모델에 대한 점근적 안정화 및 $H_{\infty}$ 성능을 만족하는 제어기 존재조건을 선형행렬부등식으로 나타낸다. 리아프노프 함수에 조정파라미터를 도입함으로써 제어기 존재조건을 조정파라미터를 포함하는 선형행렬 부등식으로 나타낸다. 선형행렬부등식에 있는 조정 파라미터를 조정함으로써 시스템의 응답속도 및 오버슈트 등의 동적 성능을 개선시킬 수 있다.