정부차원의 對개발도상국 연수생초청사업이 우리경제에 미치는 유 무형의 파급효과에 관한 연구

한진섭 韓國外國語大學校 世界經營大學院 2005 국내석사

Osteoblast 기능약화 조절 기전에 대한 근 수축 유발 exosome의 역할

한진섭 전북대학교 일반대학원 2022 국내박사

PURPOSE : Exercising muscle increase the secretion of functional vesicles including the exosome which influences the other cell function. These critical factors could change the integrity of the target cell and ameliorate the abnormal function. In this study, we confirmed that exosome is secreted from electrically stimulated-muscle cells and exosome contains functional protein including heat shock protein. It has been reported that exosome from the human cells has the ability to control the function and metabolism of the target cells however the function of exosome from contracted skeletal muscle cell to the target cells are not fully elucidated. To reveal these functions, exosome from contracted skeletal muscle cells are purified and transferred to the palmitate-induced osteoblast disease model and examined the target cells’ functional changes including ER Ca2+ and ER stress-related protein expression. The purpose of this study is to investigate whether the treatment of exercise-induced exosome from skeletal muscle cells to the target cells could change the abnormal osteoblast function and metabolism in particular regarding ER stress mechanism. METHODS : To make the osteoblast disease model, the MC3T3-E1 cell line was treated with palmitate (200uM, 12hours). and examined the ER Ca2+ level and mitochondrial membrane potential (MMP) by confocal microscope. ER stress marker including inositol-requiring enzyme 1α (IRE1α) and endoplasmic reticulum Ca2+-ATPase, (SERCA) expression and osteoblast resorption factors, such as nuclear factor kappa-light-chain-enhancer of activated B cells (NFκb) and Receptor activator of nuclear factor kappa-Β ligand (RANKL) / Osteoprotegerin (OPG) expression are examined by western blotting. Exosome from contracted skeletal muscle cells (C2C12) were prepared by electrical stimulation (5HZ, 5ms, 50V 2hours) and purified by centrifugation. To identify whether exosome have functional proteins, heat shock protein (HSP70), small HSP and Calnexin were examined by western blotting. To examine the function of muscle exosome on MC3T3-E1 cell, 20g / ml exosome were treated to the osteoblast disease model and changes of ER stress marker, bone resorption-realted factor and MMP of target cell were examined. and Exosome transfer to t. he target cells were examined by green fluorescence protein (GFP)-labeled CD63 protein by conforcal microscope RESULTS : In palmitate groups (osteoblast) IRE1α and ER Ca2+ depletion, significantly increased by palmitate (p<0.05), but SERCA, and MMP reduced by palmitate were significantly decreased (p<0.05). such as bone resorption factors NFκb and RANKL expression significantly increased by palmitate (p<0.05), but OPG expression significantly decreased by palmitate (p<0.05). Exosome labeling analyzed heat shock protein (HSP70), small HSP and CD63GFP were observed in the exosome from C2C12 by EPS. but negative control of calnexin not observe. As a result of treating exosome with osteoblast induced ER stress with palmitate, It was observed that αB-crystallin, SERCA, RANKL/OPG expression ER Ca2+ level and MMP reduced by palmitate were significantly increased (p<0.05). Conversely, IRE1α, NFkb and RANKL/OPG expression increased by palmitate showed significant decrease by exosomes treatment (p<0.05). CONCLUSIONS: Summarizing the results of this study, palmitate induced ER stress in the osteoblast. This environment suppresses mitochondrial function, and negatively affects bone resorption factors. However, exosome released due to skeletal muscle cell contraction contains HSP70 and αB-crystallin that control bone resorption indicators by suppressing ER stress in osteoblast, and that exercise can suppress osteoblast dysfunction.

소셜 네트워크 스패머의 효율적인 탐지를 위한 특징 조합 및 추출

한진섭 광운대학교 대학원 2016 국내박사

As the number of users of SNS such as Twitter and Facebook sharply increases, the problem of spammers who pollute SNS by posting messages and contents that general users do not want becomes huge gradually, and becomes one that is difficult to deal with. The more than 302 million users are active in Twitter. Accordingly, because the size of the data necessary to spam detection is increased, the time efficiency for spam detection is an important issue. Therefore, this thesis describes a method to detect spam efficiently in Twitter, a representative SNS. Especially, in situations where the classification accuracy of the existing research(more than 90%) has already reached the apex, this thesis describes a method of feature combination and feature extraction that time efficiency is improved without lowering the performance in the whole processing stages of detecting a spammer. In other words, learning step of generating a classification model searches for a feature combination of the minimum size that classification performance is maintained and can result in improvement in time efficiency through the method of combining existing features and features with the classification discrimination power. The experiments were carried out, such as the application of statistical methods and feature selection algorithms to search a feature combination of the minimum size. A series of experiments measure the each time required for discovered feature combination model and existing models. Experimental results shows that the discovered feature combination model do not deteriorate in the aspect of classification performance such as accuracy and it is possible to sharply reduce the time required for generating a classification model, as compared with conventional one. Besides, this thesis describes a method of efficiently extracting the feature values of new user data in classification prediction step. As the size of arbitrary user data to be detected increases over time, it is inefficient to detect a spammer by extracting the feature values of user’s all data each time. Therefore, this thesis describes an incremental feature extraction method that extracts a user’s feature value by utilizing knowledge information available in the previous process and data increment, not batch processing that It has extracted by using all data. And the improvement in the time efficiency of proposed method is comparatively evaluated through a experiment in comparison with batch processing method. As shown above, spammer detection method described in this thesis provide a means that maintain the accuracy performance and detect more efficiently spammer for social network service provider which deal with a large amount of data. In the future, taking into account the classification performance and time efficiency, there is a need for development about algorithm that automatically build the optimal feature combination model. Also, when extracting a feature of the user data in the classification prediction stage, there is a need for research about incremental feature extraction method for any time interval. 트위터, 페이스북과 같은 소셜 네트워크 서비스 사용자의 수가 크게 증가함에 따라, 일반 사용자가 원치 않는 메시지 및 콘텐츠를 게재해서 소셜 네트워크를 오염시키는 스패머의 문제가 점차 커지고 다루기 힘든 문제가 되고 있다. 3억 2백만 이상의 수많은 사용자가 트위터에서 활발히 활동하고 있고 스패머 탐지를 위하여 처리해야하는 데이터의 양 또한 증가하기 때문에, 스패머 탐지에 있어서 시간 효율성은 중요한 문제이다. 따라서 본 논문은 대표적인 소셜 네트워크 서비스인 트위터에서 스패머를 효율적으로 탐지하기 위한 방법을 기술한다. 특히, 기존 연구들의 분류 정확도가 90%이상으로 이미 그 정점에 이른 상황에서 기존 대비 성능저하는 되지 않고 스패머 탐지의 전체 처리 과정에서의 시간 효율성을 향상 시킬 수 있는 특징 조합과 특징 추출 방법을 기술한다. 즉, 분류 모델을 생성하는 학습 단계에서는 기존 특징과 일정 수준의 분류 변별력을 갖춘 특징과의 조합을 통해서 기존 분류 성능은 유지되고 시간 효율성 향상을 가져올 수 있는 최소 규모의 특징 조합을 탐색한다. 이와 같이 특징 조합을 탐색하기 위하여 통계적 방법론 및 특징 선택 알고리즘 적용 등의 실험을 하였으며 탐색된 특징 조합 모델을 생성하는데 소요되는 시간과 기존 모델의 소요되는 시간을 측정하여 비교하는 등의 실험은 분류 정확도 성능은 저하되지 않고 시간을 대폭으로 줄일 수 있음을 보인다. 분류 예측 단계에서는 탐지할 새로운 사용자 데이터의 특징 값을 효율적으로 추출하는 방법에 대하여 기술한다. 시간이 지남에 따라 탐지할 임의의 사용자 데이터의 크기는 증가하기 때문에, 매번 사용자의 전체 데이터를 대상으로 특징 값을 추출하여 탐지하는 것은 비효율적인 방법이다. 따라서 전체 데이터를 대상으로 처리하는 일괄 처리 방식이 아니라 데이터의 증가분과 이전 처리 과정에서 활용 가능한 지식 정보를 활용하여 사용자의 특징 값을 추출하는 점진적 특징 추출 방법을 기술한다. 그리고 기술한 방법이 일괄 처리한 방법과 비교해서 시간 효율성이 향상되는 것을 실험을 통해 비교 평가한다. 본 논문에서 기술한 스패머 탐지 방법은 대용량의 데이터를 처리하는 소셜 네트워크 서비스 제공자에게 정확도 성능은 저하되지 않고 효율적으로 스패머를 탐지할 수 있는 수단을 제공할 것이다. 향후에는 분류 성능과 시간 효율성을 고려해서 최적의 특징 조합 모델을 자동 생성할 수 있는 알고리즘 개발과 분류 단계에서 사용자 데이터의 특징을 추출할 때, 임의의 시간 구간에 대한 점진적 특징 추출 연구가 필요하다.

탈모자의 두피 유형별 특성과 모낭충 감염 실태에 관한 연구

한진섭 남부대학교 산업정책대학원 2006 국내석사

This study was to find out whether the type of scalp affects hair loss, and to explore the status of demodex infection, a kind of mites which lives in human hair follicles, along with its impact on alopecia. The types of scalps were classified into oily, normal, and dry scalp, and whether the scalp was infected with demodex or not was also investigated. The subjects of this study were 295 people with alopecia or suspecting alopecia who visited hair care centers in Seoul and Gyeonggi-do. Investigation methods were interviews and analysis of scalp photographs taken by a microscope with a magnifying power of 100-200, and the presence or absence of demodex mite, its sex, and its state of eggs, lavae, or imagoes were recorded by observing sebum extracted from parietal region by using a polarizing microscope, after dissolving the sebum with immersion oil for microscopy. As a result, it was found that alopecia prevalence was distributed similarly between male and female among Koreans. According to age, young adult groups aged less than 30 years and in 30’s showed the highest rate of 52.54%. In these age groups, alopecia was seen most frequently in oily scalp both for men and women; it seemed to be caused by high level of D.H.T which is a male hormone due to increased physical metabolism, and acquired factors such as severe stress and changes in diet and living environments. There were seen relationships between hair loss and the type of scalp in male. Of the males with hair loss, 89.8% had the oily type of scalp, suggesting high risk of alopecia in men with oily scalp. In addition, if oily scalp developed into seborrheic scalp, the progress of alopecia accelerated like a domino effect. Even though the oily type of scalp became less severe with age, the decrease width was small, showing still a high rate of oily scalp. In female, 50.8% of the alopecia cases were seen in oily scalp and other types were seen of similar rates, concluding that female alopecia is not related to the type of scalp. In addition, the rate of oily scalp in female showed to greatly decrease with age, becoming normal and dry types. In female alopecia, also young adult groups aged less than 30 years and in 30’s showed high rate of hair loss in oily scalp, and the causes were same in cases of male alopecia. In addition, female hair loss was seen the highest in 40’s of 35.51%. As for the reasons, females over 40 developed hair loss due to endocrine disorders due to the decrease of estrogen and a hormonal imbalance in menopausal period. The rate of demodex infection in people who had hair loss was 64.4%, and it was 11.1% higher than people with no infection, suggesting demodex can be a direct cause of hair loss. Thus, it was confirmed that demodex infection is an important factor to increase hair loss. Demodex infection was seen to increase with age, but gender didn’t affect the infection. Thus, it could be considered to be related to a decreased immunity due to the damage in scalp. Demodex infection was seen to be 67.8% in oily scalp, 64.9% in normal scalp, and 37% in dry scalp, showing a significant difference in the type of scalp. It suggested that the scalp with lots of sebum is good for demodex inhabitation; once the scalp is infected with demodex, sebaceous glands become overgrown so that the scalp develops into oilier condition. In order to prevent or improve hair loss, normalization of sebum secretion is required by neutralizing DHT which induces overgrowth of sebaceous glands and preventing damage in sebaceous glands caused by demodex proliferation, along with improving scalp environment to demodex-free by treating damaged scalp and hair follicles, eliminating the presence of demodex, and increasing immunity. Thus, continuous scalp care is crucial for prevention and improvement of hair loss.

무선 인터넷을 위한 HTML 변환기의 설계 및 구현

한진섭 광운대학교 대학원 2002 국내석사

본 논문은 무선 응용 프로토콜 환경에서 무선 인터넷 액세스를 위한 HTML 변환기의 설계 및 구현에 대해 기술한다. 구현된 HTML 변환기는 콘텐츠 변환, 변환 규칙 셋, WML 화일 생성, 프레임 콘텐츠 재구성 모듈로 구성된다. 일반 텍스트 콘텐츠의 경우, 변한 규칙 셋을 참조하여 콘텐츠 변환 모듈에서 일대일 태그 매핑을 통해 WML 콘텐츠로 변환이 되며, 프레임으로 구성된 콘텐츠는 프레임 콘텐츠 재구성 모듈에서 최초에 받은 프레임 셋 소스를 파싱하여, 포함되어 있는 모든 화일 이름들을 가지고 요구 메세지를 구성하여, 화일 개수만큼 다시 서버에 연결해서 각각의 문서들을 받아 처음에 받은 HTML 문서에 연결 시키고, 일련의 재구성 과정을 거친 후, 테이블 형태의 WML 콘텐츠로 변환이 된다. 그리고, 이미지 맵이 포함된 콘텐츠는 이미지 맵 관련 태그를 파싱한 후, 링크되어 있는 HTML 문서의 이름을 추출해서 WML 콘텐츠 데이터로 대체하고, 해당 콘텐츠로 링크시킴으로써 변환이 가능하게 한다. 제안한 프레임 콘텐츠 변환 방법은 기존 상용 변환기와는 달리 사용자의 편의와 상호 운용성이 고려된 변환 방법이며, 이미지 맵의 경우 상용 변환기에서는 지원되지 않는 부분이다.

지구성 운동에 의한 당뇨병 개선에서 Nitric Oxide, Carbon Monoxide 관련 신호기전 분석

한진섭 전북대학교 일반대학원 2018 국내석사

PURPOSE : In this study, we investigated the role of Nitric oxide and carbon monoxide signaling mechanisms in skeletal muscle of diabetes mice by performing treadmill exercise for 6 weeks (diabetic mice induced by Streptozotocin). And this study is to probe effect of nitric oxide interacted heme oxygenase-1 protein activation and inducible nitric oxide inhibition via carbon monoxide production and nitric oxide formation enzyme different during endurance training in the skeletal muscle. METHODS : Skeletal muscle from gastrocnemius of ICR mice(diabetic mice induced by Streptozotocin 25mg/kg) used treadmill by endurance training(60% VO2 max) of 6 weeks. nitrite and carbon monoxide fluorescence examined by micro plate reader. nitric oxide synthase isotype and heme oxygenase-1 expression by western blotting. RESULTS : in all the groups neuronal nitric oxide synthase, endothelial nitric oxide synthase and heme oxygenase 1 expression increased by endurance training for 6weeks, but inducible nitric oxide synthase decreased by 6weeks endurance training in diabetes mice. in the diabetes model Marker of nitrite and carbon monoxide fluorescence also increased by endurance training for 6weeks. Based on these data changes we can predict in the diabetes group HO-1 increased for nitric oxide production and inducible nitric oxide synthase decreased for carbon monoxide production by endurance training for 6 weeks. CONCLUSIONS: The study can be concluded that role of nitric oxide and carbon monoxide related signaling mechanism improvement diabetes mice during endurance training. and nitric oxide formation by neuronal nitric oxide synthase and endothelial nitric oxide synthase. This signal has regulatory effect to inducible nitric oxide synthase decrease through regulation of heme oxygenase 1 expression and Carbon Monoxide formation.

統一新羅와 高麗時代의 龜趺와 里首에 나타난 造形美 硏究

한진섭 홍익대학교 1981 국내석사

기술준비도와 합리적행위모형에 기반한 핀테크대출 수용결정 예측모델연구

한진섭 경희대학교 경영대학원 2017 국내석사

핀테크는 금융과 기술의 융합으로 기술이 주도하는 금융거래 혁신이다. 핀테크의 주요 유형은 송금, 지급결제, P2P, 금융데이터 분석 등이 있다. 이중 지급결제 분야는 전 세계적으로 많이 확산이 되어가고 있다. 그러나 P2P 대출 분야는 핀테크에 있어서 혁신적인 변화임에도 불구하고 국내에서는 아직 사회적인 인식이 낮아서 제대로 자리 잡지 못하고 있다. 따라서 본 연구에서는 핀테크 유형 중에 혁신적이라 할 수 있는 P2P 대출이 활성화가 되기 위한 결정 요인들이 무엇인지 알아보고자 한다. 본 연구를 위해 핀테크 이용의 의사를 결정하는 모형으로 '합리적행위이론'(TRA)을 바탕으로, 핀테크가 IT기술의 융합이기에 정보기술의 '기술준비도'(TRI) 이론을 융합하여 연구모형을 설정하였다. 분석 결과, 핀테크 대출의 행위에 있어 '합리적행위모형'(TRA)에 따른 '규범'과 '태도'가 행위 의도에 영향을 주는 것으로 확인되었다. 하지만 핀테크 대출에서 '기술준비도'(TRI)가 태도에는 크게 영향을 미치지 못하며, 그 중 '낙관성'과 '불편감'은 영향이 없는 것으로 나타났다. 그리고 '규범'은 자신의 중요한 사람들의 의견에는 크게 영향을 받으나 그 의견을 따라야 한다는 '순응 동기'는 없는 것으로 나타났다. 본 연구 결과가 금융시장에서 기업들이 핀테크 대출의 혁신적인 확산을 위하여 상품개발 및 마케팅 활동의 중요 요인들로 활용되고 발전의 저해요소를 찾아 대처하고 대안을 마련함으로써 핀테크 시장 활성화에 기여할 것으로 기대한다. FinTech is a technology-led financial transaction innovation that is a fusion of finance and technology. The main types of FinTech are remittance, payment, P2P, and financial data analysis. Duplex payments are spreading around the world. However, the P2P loan sector has not been well established due to the low social awareness in Korea despite the innovative change in FinTech. Therefore, in this study, we try to find out what are the determinants of P2P loan activation which can be considered innovative among FinTech types. Based on theory of reasoned action(TRA) , FinTech is a convergence of IT technology, we have set up a research model by converging the ‘Technology readiness index‘(TRI) theory of information technology As a result of the analysis, it was confirmed that the 'Subjective Norm' and 'Attitude Toward Behavior' to the 'Theory of Reasoned Action'(TRA) had an influence on the intention of the act in the act of Fintech lending. However, in the FinTech loan, the ‘Technology readiness index’(TRI) does not significantly affect the attitude, Among them, 'optimism' and 'discomfort' were not affected. And the 'Subjective norm' is heavily influenced by the opinions of his important people, There was no ‘motivation to comply' the opinion. The results of this study are expected to contribute to the revitalization of the FinTech market by exploiting the obstacles to development and making alternatives to be used as important factors of product development and marketing activities for the innovative diffusion of FinTech loans in financial markets .

合成樹脂 建築資材 마아케팅에 관한 實證的 硏究 : 合成樹脂管의 製造業體를 中心으로

한진섭 東國大學校 1993 국내석사

統一新羅와 高麗時代의 龜趺와 이首에 나타난 造形美 硏究

한진섭(韓鎭燮) 弘益大學校 大學院 1981 국내석사