색상 정보를 이용한 영상 검색 기법

조재훈,이상호,김영섭,Cho, Jae-Hoon,Lee, Sang-Ho,Kim, Young-Seop 한국반도체디스플레이기술학회 2008 반도체디스플레이기술학회지 Vol.7 No.2

Recently, as the multimedia processing application increases rapidly by going on increasing multimedia data, the efficient retrieval method of image information is required in many fields of application and becoming the matter of major concern. Furthermore, in the last few years rapid improvements in hardware technology have made it possible to process, store and retrieve huge amounts of data in a multimedia format. As a result, Content-Based Image Retrieval (CBIR) has been receiving widespread interest during the last decade. This paper propose the content-based retrieval system as a method for performing image retrieval through the effective feature analysis of the object of significant meaning by using YCbCr channel merging on the basis of the characteristics of man's visual system.

육미지황탕(六味地黃湯)이 아토피피부염을 유발한 NC/Nga mouse에 미치는 영향

조재훈,김윤범,Cho, Jae-Hoon,Kim, Yoon-Bum 대한한방안이비인후피부과학회 2009 한방안이비인후피부과학회지 Vol.22 No.1

Objective : Yukmijihwang-tang is one of the important medicines for blood- deficiency and yin-deficiency. Atopic dermatitis usually shows dampness-heat pattern in its acute stage and blood-deficiency or yin-deficiency pattern in its chronic stage. Therefore, I hypothesized that Yukmijihwang-tang is effective on atopic dermatitis and investigated the effects of Yukmijihwang-tang on NC/Nga mice's atopic dermatitis induced by DNCB. Methods : The NC/Nga mice with atopic dermatitis were divided into four groups: three experimental groups and one control group. The experimental groups were respectively put on 2.5g(YM-2.5), 5g(YM-5) and 10g(YM-10) of Yukmijihwang-tang extract per their weight once a day for 10 days while the control group was fed normal saline. After 10 days, I measured TEWL(transepidermal water loss), observed scratching behaviors, conducted a skin biopsy and checked levels of Total IgE, IL-4 and $IFN-\gamma$ on NC/Nga mice. Results : 1. Yukmijihwang-tang significantly suppressed skin dryness. In particular, YM-5 and YM-10 had better skin hydration than YM-2.5. 2. Yukmijihwang-tang significantly suppressed pruritus while there was no significant difference among the experimental groups. 3. Yukmijihwang-tang retained skin structure(epidermis, dermis and subcutaneous fat). 4. Yukmijihwang-tang reduced Total IgE level while there was no significant difference between the control group and the experimental groups. 5. Yukmijihwang-tang did not reduce IL-4(Th2 cytokine) level. 6. Yukmijihwang-tang significantly reduced $IFN-\gamma$(Th1 cytokine) level. In particular, YM-2.5 and YM-5 had lower $IFN-\gamma$ level than YM-10. Conclusion : The results suggest that Yukmijihwang-tang suppresses skin dryness and pruritus, retains skin structure and is effective on chronic atopic dermatitis which is associated with Th1 cytokines in the immune response.

JPEG2000기반 검색 알고리즘 개발

조재훈,김영섭,Cho, Jae-Hoon,Kim, Young-Seop 한국반도체디스플레이기술학회 2007 반도체디스플레이기술학회지 Vol.6 No.2

In this paper, a new content-based color image retrieval method is proposed, in which both the color content and the spatial relationship of image have been taken into account. In order to represent the spatial distribution information of image, a disorder matrix, which has the invariance to the rotation and translation of the image content, has been designed. This is based on multi-resolution color-spatial information. We present our algorithm in the following section, and then verified the search results with comparison to other methods, such as color histogram, wavelet histogram, correlogram and wavelet correlogram. Experimental results with various types of images show that the proposed method not only achieves a high image retrieval performance but also improve the retrieval precision.

면역 알고리즘의 개선된 클론선택에 의한 퍼지 뉴로 네트워크와 교통경로선택으로의 응용

조재훈(Jae-Hoon Cho),김동화(Dong-Hwa Kim),오성권(Sung-Kwun Oh) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.4

본 논문에서는 복잡하고 비선형적인 시스템을 위하여 최적 면역 알고리즘의 개선된 클론선택에 기반을 둔 최적FNN 설계 방법을 제안한다. FNN은 퍼지추론의 간략추론과 학습방법으로는 오류역전파 알고리즘을 하였고 멤버쉽함수의 파라미터, 학습률 및 모멘텀 계수들을 선정하기 위하여 개선된 클론 선택을 사용하는 방법을 도입하였다. 제안한 알고리즘은 생체의 면역반응에 기초를 둔 면역알고리즘의 클론선택을 기본으로 분화율을 조절하여 성능을 개선하였다. 그 과정을 통하여 다양한 항체들을 생성하고 목적함수나 제한조건과 같은 항원들에 대하여 가장 높은 친화도를 가지는 항체를 최적 항제로 선택하였다. 제안된 알고리즘의 성능을 평가하기 위하여 가스로공정과 교통경로선택 공정을 사용한다. In this paper, an optimal design method of clonal selection based Fuzzy-Neural Networks (FNN) model for complex and nonlinear systems is presented. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. Also Advanced Clonal Selection (ACS) is proposed to find the parameters such as parameters of membership functions, learning rates and momentum coefficients. The proposed method is based on an Immune Algorithm (LA) using biological Immune System and The performance is improved by control of differentiation rate. Through that procedure, the antibodies are producted variously and the parameter of FNN are optimized by selecting method of antibody with the best affinity against antigens such as object function and limitation condition. To evaluate the performance of the proposed method, we use the time series data for gas furnace and traffic uor choice process.

박테리아 생존전략기반 최적화 기법을 이용한 자기부상 이송장치의 전자석 설계

조재훈(Jae-Hoon Cho),김용태(Young-Tae Kim) 대한전기학회 2016 전기학회논문지 Vol.65 No.6

This paper introduces a new optimal design method using a bacterial survival strategies for a ectromagnet of Maglev transportation vehicle. Usually, an electromagnetic suspension which has more advantages than electro dynamic suspension is used in Maglev systems. However, the structural constraints must be considered in the optimal design of an electromagnet for electromagnetic suspend system. In this paper, the optimal design method of a electromagnet based on a bacterial survival strategies optimization algorithm to design the electromagnet satisfying the structural constraints. The effectiveness of the proposed method was verified by Matlab simulations and the simulation results show that the proposed method is more efficient than conventional methods.

지능형 최적화 기법 이용한 하이브리드 자기부상 시스템의 설계

조재훈(Jae-Hoon Cho),김용태(Yong-Tae Kim) 대한전기학회 2017 전기학회논문지 Vol.66 No.12

In this paper, an optimal design of hybrid magnetic levitation(Maglev) system using intelligent optimization algorithms is proposed. The proposed maglev system adopts hybrid suspension system with permanent-magnet(PM) and electro magnet(EM) to reduce the suspension power loss and the teaching-learning based optimization(TLBO) that can overcome the drawbacks of conventional intelligent optimization algorithm is used. To obtain the mathematical model of hybrid suspension system, the magnetic equivalent circuit including leakage fluxes are used. Also, design restrictions such as cross section areas of PM and EM, the maximum length of PM, magnetic force are considered to choose the optimal parameters by intelligent optimization algorithm. To meet desired suspension power and lower power loss, the multi object function is proposed. To verify the proposed object function and intelligent optimization algorithms, we analyze the performance using the mean value and standard error of 10 simulation results. The simulation results show that the proposed method is more effective than conventional optimization methods.

신재생에너지원의 LCL필터 설계를 위한 지능형 최적화 기법

조재훈(Jae-Hoon Cho),박진일(Jin-il Park),전명근(Myung-Geun Chun) 한국정보기술학회 2010 한국정보기술학회논문지 Vol.8 No.11

This paper proposes a new approach for designing LCL filter parameters for renewable energy sources by using intelligent optimization method. Generally, the renewable energy sources connected to power converter system can cause high-order harmonics with the fundamental frequency around the switching frequency. On the other hand, an LCL filter is known as an effective method on reducing harmonic distortion at the switching frequency. However, design of an LCL filter requires effective ways to achieve good filtering effect because it is not simple to choose the proper LCL filter parameters. This paper presents a design method by using advanced bacterial foraging optimization and a new object function. In order to verify the performance of the proposed method, a photovoltaic system modeled by Matlab/simulink is used in this simulation. The simulation results show that the proposed method is 3% more effective than conventional methods.

최적 퍼지PID제어기를 이용한 자기부상시스템의 부상제어기 설계

조재훈(Jae-Hoon Cho),김용태(Yong-Tae Kim) 한국지능시스템학회 2014 한국지능시스템학회 학술발표 논문집 Vol.24 No.1

차량 구동용 매입형 영구자석 동기 전동기의 코깅 토크 분석

조재훈(Jae-Hoon Cho),배수빈(Su-Bin Bae),정상용(Sang-Yong Jung) 대한전기학회 2021 대한전기학회 학술대회 논문집 Vol.2021 No.7

EV(Electric Vehicle)와 FCEV(Fuel Cell Electric Vehicle) 등의 친환경 차량은 주행 중 발생하는 소음과 진동이 문제가 된다. 이에 따른 구동용 전동기의 NVH의 특성과 원인을 분석하는 연구가 활발히 진행되고 있다. 전동기의 소음, 진동의 발생 원인 중 하나인 코깅 토크는 모터 회전자의 영구자석과 고정자 슬롯 사이의 릴럭턴스가 최소인 방향으로 유지하려는 경향에 의해 발생하는 맥동 토크이다. 본 연구에서는 구동용 전동기의 코깅 토크의 주기 특성과 Mesh의 관계성을 통해 변수에 대한 코깅 토크의 경향성을 확인한다.

개선된 수업-학습기반 최적화 알고리즘을 이용한 자기부상 제어기의 최적 설계

조재훈(Jae-Hoon Cho),김용태(Yong-Tae Kim) 대한전기학회 2015 전기학회논문지 Vol.64 No.1

In this paper, an advanced teaching-learning based optimization(TLBO) method for the magnetic levitation controller of Maglev transportation system is proposed to optimize the control performances. An attraction-type levitation system is intrinsically unstable and requires a delicate control. It is difficult to completely satisfy the desired performance through the methods using conventional methods and intelligent optimizations. In the paper, we use TLBO and clonal selection algorithm to choose the optimal control parameters for the magnetic levitation controller. To verify the proposed algorithm, we compare control performances of the proposed method with the genetic algorithm and the particle swarm optimization. The simulation results show that the proposed method is more effective than conventional methods.