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      • KCI등재

        타액선 다형성 선종에서 Glycosaminoglycan의 발현

        김성주,김철환,김경욱,Kim, Seong-Joo,Kim, Chul-Hwan,Kim, Kyung-Wook 대한악안면성형재건외과학회 2006 Maxillofacial Plastic Reconstructive Surgery Vol.28 No.2

        Pleomorphic adenoma is the most common benign tumor in salivary glands, and occurred in frequency of 60% in parotid gland tumors, and 50% in submandibular gland tumors, and 25% in sublingual gland tumors. Histopathologically, pleomorphic adenoma is composed of epithelial cells and mesenchymal tissues, and called 'mixed tumor' because of morphological divergency. The cell structures of luminal area are composed of polyhedral and cuboidal secretory epithelial cells and modified myoepithelial cells around it, and mesenchymal tissue is composed of some myoepithelial cells and stromal tissue. In stromal tissue, myxoid change, chondroid change, or hyalinization can be seen even if bone tissue. In many studies, tumor cells of pleomorphic adenoma containing modified myoepithelial cell participate in synthesis of glycosaminoglycans. In this study, tissue sample of pleomorphic adenoma of human salivary gland were obtained from 20 surgical specimens, and all specimens were routinely fixed in 10% formalin and embedded. Serial 4-8${\mu}m$ thick sections were cut from paraffin blocks. The histopathologic evaluation was done with light microscopy. And, with immunohistochemical staining, characteristics of glycosaminoglycan were observed. And, for biochemical analysis of glycosaminoglycan, isolation of crude glycosaminoglycan from tumor tissue and immuno-blot analysis were carried out. With transmission electromicroscopy, tumor cells and biologic behavior of pleomorphic adenoma were observed with distribution and expression of glycosaminoglycan in tumor cells, The results were obtained as follows: 1. In immunohistochemical study, chondroitin 4-sulfate is highly postively stained in myxoid stromal tissue, and chondroitin 6-sulfate is highly positively stained in chondroid mesenchymal tissue, both glycosaminoglycans are positively stained in non-luminal cell of ductal area. 2. Dermatan sulfate and keratan sulfate is positively stained in periductal non-luminal tumor cells. 3. In immunohistochemical study, heparan sulfate is weakly stained in luminal cells and non-luminal cells around duct, and chondroid mesenchymal tissue. 4. In transmission electromicroscopic view, the tumor cells are composed of modified myoepithelial cells, and contain many microfilaments and well developed rough endoplasmic reticulum. 5. In Immuno-Blot analysis, the expression of glycosaminoglycans is expressed mostly in chondroitin 6-sulfate and chondroitin 4-sulfate. From the results obtained in this study, tumor cells of pleomorphic adenoma are composed of modified myoepithelial cells, and glycosaminoglycans of chondroitin 4-sulfate and chondroitin 6-sulfate mostly participate in the development of pleomorphic adenoma, but dermatan sulfate, keratan sulfate and heparan sulfate glycosaminoglycans were expressed variably.

      • 직교 기저함수 기반의 혼합 신경회로망 구조

        김성주,서재용,조현찬,김성현,김홍태,Kim, Seong-Joo,Seo, Jae-Yong,Cho, Hyun-Chan,Kim, Seong-Hyun,Kim, Hong-Tae 대한전자공학회 2002 電子工學會論文誌-CI (Computer and Information) Vol.39 No.6

        웨이블릿 함수의 경우 스케일링 함수에서 비롯되었으며, 스케일과 중심을 결정함으로써 신경회로망의 노드로 구성된다. 본 논문에서는 웨이블릿 함수를 이용하여 망을 구성하는 과정에 스케일링 함수를 은닉층의 노드로 복합 구성한 구조를 제안하고자 한다. 제안한 구조의 특징은 스케일링 함수를 이용하여 대강 근사(rough approximation)를 행한 다음, 웨이블릿 함수를 이용하여 미세 근사(fine approximation)를 행하도록 신경회로망의 은닉층을 복합 구성하는 데 있다. 또한, 복합 신경회로망을 구성하는 과정에서 미세 근사에 필요한 웨이블릿 함수의 개수를 유전 알고리즘을 이용하여 결정하는 초기 구조의 최적화를 도모하고자 한다. The wavelet functions are originated from scaling functions and can be used as activation function in the hidden node of the network by deciding two parameters such as scale and center. In this paper, we would like to propose the mixed structure. When we compose the WNN using wavelet functions, we propose to set a single scale function as a node function together. The properties of the proposed structure is that while one scale function approximates the target function roughly, the other wavelet functions approximate it finely. During the determination of the parameters, the wavelet functions can be determined by the global search algorithm such as genetic algorithm to be suitable for the suggested problem. Finally, we use the back-propagation algorithm in the learning of the weights.

      • KCI등재

        타액선 다형성 선종에서 Glycosaminoglycan의 발현

        김성주,김철환,김경욱,Kim, Seong-Joo,Kim, Chul-Hwan,Kim, Kyung-Wook 대한악안면성형재건외과학회 2006 Maxillofacial Plastic Reconstructive Surgery Vol.28 No.1

        Pleomorphic adenoma is the most common benign tumor in salivary glands, and occurred in frequency of 60% in parotid gland tumors, and 50% in submandibular gland tumors, and 25% in sublingual gland tumors. Histopathologically, pleomorphic adenoma is composed of epithelial cells and mesenchymal tissues, and called 'mixed tumor' because of morphological divergency. The cell structures of luminal area are composed of polyhedral and cuboidal secretory epithelial cells and modified myoepithelial cells around it, and mesenchymal tissue is composed of some myoepithelial cells and stromal tissue. In stromal tissue, myxoid change, chondroid change, or hyalinization can be seen even if bone tissue. In many studies, tumor cells of pleomorphic adenoma containing modified myoepithelial cell participate in synthesis of glycosaminoglycans. In this study, tissue sample of pleomorphic adenoma of human salivary gland were obtained from 20 surgical specimens, and all specimens were routinely fixed in 10% formalin and embedded. Serial 4-8${\mu}m$ thick sections were cut from paraffin blocks. The histopathologic evaluation was done with light microscopy. And, with immunohistochemical staining, characteristics of glycosaminoglycan were observed. And, for biochemical analysis of glycosaminoglycan, isolation of crude glycosaminoglycan from tumor tissue and immuno-blot analysis were carried out. With transmission electromicroscopy, tumor cells and biologic behavior of pleomorphic adenoma were observed with distribution and expression of glycosaminoglycan in tumor cells, The results were obtained as follows: 1. In immunohistochemical study, chondroitin 4-sulfate is highly postively stained in myxoid stromal tissue, and chondroitin 6-sulfate is highly positively stained in chondroid mesenchymal tissue, both glycosaminoglycans are positively stained in non-luminal cell of ductal area. 2. Dermatan sulfate and keratan sulfate is positively stained in periductal non-luminal tumor cells. 3. In immunohistochemical study, heparan sulfate is weakly stained in luminal cells and non-luminal cells around duct, and chondroid mesenchymal tissue. 4. In transmission electromicroscopic view, the tumor cells are composed of modified myoepithelial cells, and contain many microfilaments and well developed rough endoplasmic reticulum. 5. In Immuno-Blot analysis, the expression of glycosaminoglycans is expressed mostly in chondroitin 6-sulfate and chondroitin 4-sulfate. From the results obtained in this study, tumor cells of pleomorphic adenoma are composed of modified myoepithelial cells, and glycosaminoglycans of chondroitin 4-sulfate and chondroitin 6-sulfate mostly participate in the development of pleomorphic adenoma, but dermatan sulfate, keratan sulfate and heparan sulfate glycosaminoglycans were expressed variably.

      • KCI등재

        성인에서 눈꺼풀속말림과 눈꺼풀겉말림 환자에서 발생원인과 치료방법에 대한 분석

        강선아,박태성,이정혜,장재우,김성주,최혜선,Sunah Kang,MD,Tae Seong Park,MD,Jung Hye Lee,MD,Jae Woo Jang,MD,Sung Joo Kim,MD,Hye Sun Choi,MD 대한안과학회 2014 대한안과학회지 Vol.55 No.7

        <b>Purpose:</b> To evaluate the causes and treatments of entropion and ectropion in adults. <b>Methods:</b> A retrospective review was performed of 397 patients (490 eyes) with entropion and 109 patients (138 eyes) with ectropion who underwent corrective surgery at Kim's Eye Hospital from January 2009 to December 2012. <b>Results:</b> The surgical correction of entropion was 3.5 times greater than that of ectropion. The causes of entropion were classified as senile (98.4%), cicatricial (1.4%) and spastic (0.2%). The causes of ectropion were classified as cicatricial (60.1%), paralytic (23.2%) and senile (16.7%). <b>Conclusions:</b> The main causes of entropion and ectropion were senile and cicatricial, respectively. Specifically, senile entropion was more common than senile ectropion, which is considered to be related to the lid anatomy of Asian patients. J Korean Ophthalmol Soc 2014;55(7):953-957

      • KCI등재

        소프트 컴퓨팅에 의한 지능형 자동변속 시스템

        김성주(Seong-Joo Kim),최우경(Woo-Kyung Choi),전홍태(Hong-Tae Jeon) 한국지능시스템학회 2005 한국지능시스템학회논문지 Vol.15 No.1

        결정된 변속선도에 의한 자동변속 패턴은 운전자에게 편리한 변속을 제공한다. 하지만, 운전자의 운전 성향이 개인마다 다양함으로 고정된 변속선도를 여러 운전자에게 동일하게 제공하는 것은 불만의 요소로 인식되고 있다. 이에, 본 논문에서는 운전자의 성향을 결정할 수 있는 입력을 이용한 학습 모듈을 설계하여 운전 성향을 판단하고자 한다. 판단된 운전 성향을 이용하여 변속선도를 조정함으로써 운전자의 의지에 부합되는 변속패턴을 제공하고자 한다. 실제 주행시 얻은 데이터를 이용하여 제안된 모듈의 성능의 우수함을 보인다. An automatic transmission pattern with the fixed standard shift map can provide comfortable shift to driver. However it may be a complain to provide shift by the same shift pattern for driver because the inclination of a driver may be various. Therefore, in this paper, we design the decision module, which can decide the driving style using input to decide the inclination of the driver and driving manner. The goal of this paper is to calibrate the shift map according to the inclination of the driver using the decided driving manner from the proposed module. As a result, the proposed intelligent automatic transmission system can provide a suitable shift point and time to the driver. To verify the performance of the proposed system, the real data that is obtained from the road test will be used.

      • KCI등재

        감정평가에 기반한 환경과 행동패턴 학습을 위한 궤환 모듈라 네트워크

        김성주(Seong-Joo Kim),최우경(Woo-Kyung Choi),김용민(Yong-Min Kim),전홍태(Hong-Tae Jeon) 한국지능시스템학회 2004 한국지능시스템학회논문지 Vol.14 No.1

        감정은 지능을 지닌 존재의 이성판단에 영향을 준다. 그래서 주변 환경정보에 의해 평가된 기본적이고 보편적인 감정을 로봇에 가미하면 더욱 인간과 가까운 지능 로봇이 될 것이다. 그러나 인간의 감정을 학습하기 위해서는 다양한 감각정보의 학습과 패턴 분류가 선행되어야 하고 이를 위해서 적합한 네트워크 구조가 요구된다. 신경망은 시스템의 특징을 추출하는데 매우 우수한 능력을 발휘하고 있다. 그러나 일시적 혼선현상과 지역 최소치에 수렴하는 단점이 있다. 그래서 복잡한 문제를 단순한 여러 개의 부분적인 문제로 나누어 해결하는 모듈라 설계방법이 관심의 대상이 되고 있다. 본 논문에서는 수많은 감정평가와 학습 데이터 패턴들을 학습하기 위해서 재결합과 재구성에 탁월한 성능을 지닌 Jacobs와 Jordan이 제안한 모듈라 네트워크와 상황의 재 표현이 가능하고 예측값과 모델링에 적합한 특징을 지닌 궤환 신경망을 결합하였다. 구성된 구조는 기존의 모듈라 네트워크의 학습결과와 비교 검토하였다. Rational sense is affected by emotion. If we add the factor of estimated emotion by environment information into robots, we may get more intelligent and human-friendly robots. However, various sensory information and pattern classification are prescribed for robots to learn emotion so that the networks are suitable for the necessity of robots. Neural network has superior ability to extract character of system but neural network has defect of temporal cross talk and local minimum convergence. To solve the defects, many kinds of modular neural networks have been proposed because they divide a complex problem into simple several sub-problems. The modular neural network, introduced by Jacobs and Jordan, shows an excellent ability of re-composition and re-combination of complex work. On the other hand, the recurrent network acquires state representations and representations of state make the recurrent neural network suitable for diverse applications such as nonlinear prediction and modeling. In this paper, we applied recurrent network for the expert network in the modular neural network structure to learn data pattern based on emotional assessment. To show the performance of the proposed network, simulation of learning the environment and behavior pattern is proceeded with the real time implementation. The given problem is very complex and has too many cases to learn. The result will show the performance and good ability of the proposed network and will be compared with the result of other method, general modular neural network.

      • 두뇌 기능 구현을 위한 지능형 정보 레이어 설계

        김성주(Seong-Joo Kim),김종수(Jong-Soo Kim),전홍태(Hong-Tae Jeon) 한국지능시스템학회 2004 한국지능시스템학회 학술발표 논문집 Vol.14 No.2

        인간의 뇌와 같이 다양한 정보들을 구분하고 처리하며 기억할 수 있는 능력을 지닌 시스템은 현재 지능 기법이 적용되고 있는 제어, 통신, 인터넷 응용 기술, 경영 분야, 분석 및 예측 등의 분야에 응용될 수 있으며 그 성능을 효과적으로 향상시킬 것이다. 이러한 다양한 분야에 활용될 수 있는 통합 모델을 제시하고 점차 발전시켜나감으로써 미래에 기대되는 다양한 인간형 시스템, 친환경적 시스템, 인간보조 시스템 등의 공학적 시스템 측면과 인간을 대신할 수 있으면서 인간과 유사한 능력을 지닌 학습 시스템, 추론 시스템, 판단 시스템 등의 지능형 시스템 측면에서 활용 가능한 모델로 성장시켜 나갈 수 있다. 이에, 본 논문에서는 생물학적인 두뇌의 정보처리 메커니즘을 해석하고 공학적인 개념의 정립과 정보처리 흐름을 규명하고 정의함으로써 출력에 반영할 수 있는 모듈을 설계하고 최종적으로, 뇌 정보처리 메커니즘에 기반한 레이어를 설계하여 범용으로 사용될 수 있도록 하고자 한다. 본 논문에서 설명되는 레이어 구조는 공학적인 분야는 물론 생물학적 뇌 연구에도 활용될 수 있을 것으로 기대된다.

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