• Proceedings of the Korea Information Processing Society Conference
• /
• 2018.05a
• /
• pp.381-383
• /
• 2018

이 논문은 스마트 폰에서 터치 스트로크를 이용하여 지속적 인증을 할 수 있는 딥 러닝 네트워크인 스태킹 커널 릿지 리그레션 네트워크 (Stacking Kernel Ridge Regression Network: SKRRN)에 대한 연구이다. SKRRN 은 여러 개의 커널 릿지 리그레션 (Kernel Ridge Regression: KRR) 으로 구성되어있고, 계층적이며 모든 KRR 은 해석적이고 독립적으로 훈련된다. SKRRN 은 다른 딥 러닝 네트워크와는 다르게 비가공 터치 스트로크 데이터로부터 특징을 배우지 않고 Hand-Crafted 피처와 같이 추출된 데이터로부터 재학습을 한다. 이러한 재학습은 기존 데이터 셋을 더 구별 하기 쉽고 풍부하게 만들어준다. SKRRN 은 HMOG 데이터 셋을 사용하여 4.295%의 동일 오류율을 달성하였다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.4
• /
• pp.327-333
• /
• 2015

Wind turbines, in the case of less than rated wind speed, is controlled to achieve maximum power. MPC(Maximun Power Control) method, by controlling the rotational speed of the generator, is a method to achieve maximum power but should know the wind speed. However, for several reasons, there have been proposed methods of estimating the wind speed rather than measuring wind speed. TSR(Tip Speed Ratio) is needed to know to estimate the wind speed. However, a complex interaction formula has to be solved to find a TSR. Therefore, many methods have been suggested to solve a complex interaction formula. In this paper, the new method has been proposed to simplify the complicated interaction formula by using the regression method. Matlab/Simulink is used to simulate and to verify the proposed method.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.42 no.1
• /
• pp.59-65
• /
• 2005

This paper proposes a novel TSK fuzzy modeling algorithm. Various approaches to fuzzy modeling when noise or outliers exist in the data have been presented but they are approaches to degrade effects of outliers or large noise by using loss function in the cost function mainly. The proposed algorithm is the modified version of noise clustering algorithm, and it adopts the method that does not use loss function, but method to cluster noise in a class. Noise clustering is a prototype-based clustering algorithm and it has no capability to regress. It conducts clustering of data first, and then conducts fuzzy regression. There are many algorithms to obtain parameters of premise and consequent part simultaneously, but they need to adapt the parameters obtained for more accurate approximation. In this paper, fuzzy regression is conducted with clustering by modifying noise clustering algorithm. We propose the algorithm that parameters of the premise part and the consequent part are obtained simultaneously, and the parameters obtained are not needed to adapt. We verify the proposed algorithm through simple examples and evaluate the test results compared with existing algorithms. The proposed algorithm shows robust performance against noise and it is easy to implement.

• The KIPS Transactions:PartD
• /
• v.10D no.2
• /
• pp.293-300
• /
• 2003

As Internet has grown rapidly and been more complex by technology in connection with Web and requirement of business, qualify and reliability of Web application are getting important. It is necessary to study about testing method along with design technique specially in Web application. This paper explains automation method of user interface test to make test cases about user input form with HTML pages using by built-in browser objects. Examples shows the possibility of testing automation with Javascript objects get mapped. Overhead of writing Javascript can be reduced by making script generator. Generated test scripts are repeatedly used in regression testing Web-based application.