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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.
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.
조재훈 ( Jae Hoon Cho ),김미연 ( Mi Yeon Kim ),박영민 ( Young Min Park ),김형옥 ( Hyung Ok Kim ) 대한피부과학회 2006 대한피부과학회지 Vol.44 No.7
Chemotherapy-induced acral erythema ia a rare cutaneous reaction to high dose chemotherapy, clinically presenting with painful erythema on the palms and soles. Docetaxel-induced acral erythema is unique in that it usually occurs on atypical sites, the dorsum of hands and peri-maleolar area. Recently, we experienced three patients with internal malignancy such as lung or ovary cancer who developed painful erythematous to violaceous patches of the dorsum of both hands and feet. The erythema began to develop 2~3 days after the 3rd~5th schedule of docetaxel chemotherapy and evolved to blister and desquamated over time. They didnt intake no other suspicious drug to induce cutaneous reactions and there was no symptom of herpes infection. Histopathological examination commonly revealed epidermal dysmaturation, vacuolar degeneration of basal layer, scattered necrotic keratinocytes and lymphohistiocytic infiltration in the upper dermis. Based on the recent medical history of docetaxel intravenous injection, the characteristic clinical features and histological findings, our three cases were all diagnosed with docetaxel-induced acral erythema. The skin lesion resolved with residual brownish discoloration after 2 weeks treatment with topical steroid. (Korean J Dermatol 2006;44(7):847~851)
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.
고차원을 갖는 생체 스펙트럼 데이터의 특징추출 및 분류기법
조재훈(Jae Hoon Cho),박진일(Jin Il Park),이대종(Dae Jong Lee),전명근(Myung Geun Chun) 한국지능시스템학회 2009 한국지능시스템학회논문지 Vol.19 No.3
본 논문에서는 비선형 변환에 의해 입력신호를 고차원의 확장공간으로 변환한 후, 주성분분석기법(PCA)에 의해 신호의 특징을 추출하는 기법을 제안한다. 특징추출을 위해 사용되는 기존의 주성분분석기법은 입력데이터가 비선형 특성을 갖는 경우 최적의 변환행렬을 구할 수 없다는 문제점을 가지고 있다. 이러한 문제점을 해결하기 위해, 확장공간상에서 구간별로 입력데이터를 분할한 후 주성분분석기법에 의해 구간별 특징을 추출하는 서브패턴기반 주성분분석기법(SpPCA)을 적용하였다. 다음 단계인 분류단계에서는 MLP 비선형분류기를 이용하여 구간마다 추출된 특징벡터를 이용하여 기준패턴과의 유사도를 산출한다. 최종 분류단계에서는 MLP에 의해서 산출된 유사도에 기반을 둔 융합법칙에 의하여 생체 스펙트럼 패턴을 분류한다. 제안된 방법의 유용성을 보이기 위한 실험결과에서 기존의 방법들에 비해서 향상된 인식결과를 보임을 확인하였다. In this paper, we propose the biomedical spectral pattern classification techniques by the fusion scheme based on the SpPCA and MLP in extended feature space. A conventional PCA technique for the dimension reduction has the problem that it can't find an optimal transformation matrix if the property of input data is nonlinear. To overcome this drawback, we extract features by the SpPCA technique in extended space which use the local patterns rather than whole patterns. In the classification step, individual classifier based on MLP calculates the similarity of each class for local features. Finally, biomedical spectral patterns is classified by the fusion scheme to effectively combine the individual information. As the simulation results to verify the effectiveness, the proposed method showed more improved classification results than conventional methods.