발효, 세포배양, 생물공정 유산균 발효에 의한 십전대보탕의 발효 전 후 성분 변화 연구

양민철 ( Min Cheol Yang ),정상원 ( Sang Won Jeong ),마진열 ( Jin Yeul Ma ) 한국미생물생명공학회 2011 한국미생물·생명공학회지 Vol.39 No.4

The purpose of this study was to investigate changes in the contents of constituents in Sipjundaebo-tang (SJ) and its fermentations (FSJ) with 8 species of lactic acid bacteria. Eight strains of lactic acid bacteria, Lactobacillus casei KFRI129, L. plantarum KFRI 144, L. curvatus KFRI 166, L. hilgardii KFRI 229, L. delbruekil subsp. lactis KFRI 442, L. casei KFRI 692, L. gasseri KCTC 3163, and Bifidobacterium breve KFRI 744, were utilized for the fermentation of Sipjundaebo-tang. As a result we identified three constituents which increased and two constituents which decreased. The increased constituents were isolated by chromatographic techniques and then their structure elucidated using NMR and MS. The decreased constituents were confimed by comparing standard compounds. These compounds were quantitatively analyzed using the HPLC/DAD system. The increased constituents were identified to be cinnamyl alcohol (1), liquiritigenin (3), and nodakenetin (5), while the decreased constituents were liquiritin (2) and nodakenin (4). Generally, liquiritin (2) and nodakenin (4) were noted as having decreased in fermented Sipjundaebo-tangs (FSJs), while cinnamyl alcohol (1), liquiritigenin (3), and nodakenetin (5) were seen to have increased. Sipjundaebo-tang fermented by L. plantarum KFRI144 exhibited the most remarkable changes in all of fermentations. The eight lactic acid bacteria all demonstrated differing decomposable rates on the five maker compounds in fermented Sipjundaebo-tang (FSJ).

예제 기반 챗봇을 위한 기계 학습 기반의 발화 간 유사도 측정 방법

양민철(Yang, Min-Chul),이연수(Lee, Yeon-Su),임해창(Rim, Hae-Chang) 한국산학기술학회 2010 한국산학기술학회논문지 Vol.11 No.8

예제 기반 챗봇은 사용자 발화와 가장 유사한 예제 발화를 대화 예제 데이터베이스로부터 검색하여 응답을 생성한다. 가장 유사한 발화를 찾는 것은 응답의 적절성과 직결되는 것임에도 불구하고, 유사 발화 검색을 위해 어 떠한 자질을 사용할 것인지, 어떠한 방식이 좋은 지에 대한 기존 연구는 부족하였다. 본 연구에서는 검색의 정확도 와 예제의 활용도를 높이기 위해 다양한 어휘적, 의미적 자질을 이용한 기계 학습 방법을 제안한다. 실험 결과 1) 대화 예제 데이터베이스의 활용도 2) 예제 발화의 매칭의 정확률 3) 답변의 질적인 측면에서 제안하는 방법은 기존 의 방법에 비해 더 나은 성능을 보였다. Example-based chatBot generates a response to user’s utterance by searching the most similar utterance in a collection of dialogue examples. Though finding an appropriate example is very important as it is closely related to a response quality, few studies have reported regarding what features should be considered and how to use the features for similar utterance searching. In this paper, we propose a machine learning framework which uses various linguistic features. Experimental results show that simultaneously using both semantic features and lexical features significantly improves the performance, compared to conventional approaches, in terms of 1) the utilization of example database, 2) precision of example matching, and 3) the quality of responses.

비숙련자를 위한 CNC 조각기 시스템의 개발 방안 연구

양민철(Min Cheol Yang),정연찬(Yunchan Chung) 대한기계학회 2017 大韓機械學會論文集A Vol.41 No.7

DIY(Do It Yourself) 중심의 창작 활동이 확산되면서 일반 사용자들이 손쉽게 아이디어를 구체화할 수 있는 환경이 마련되고 있다. 3D 프린터를 비롯한 디지털 기술과 도구의 대중화가 급속도로 진행되고 있는 반면, CNC 조각기의 경우 전문 지식의 부족과 복잡한 사용 절차로 인해 사용이 원활하지 않다. 이에 본 연구에서는 3D 형상 모델 파일만 선택하면 자동으로 가공이 가능한 CNC 조각기의 시스템을 개발하였다. 피삭재와 공구의 크기 및 종류를 제한하고, 생산성의 배제를 통해 공정 계획 및 공구경로 생성, 피삭재 고정, 피삭재 좌표계 파악을 자동화하였다. 그 결과 비숙련자도 혼자 충분히 사용 가능한 CNC 조각기의 시스템이 개발되었다. 이를 통해 기존보다 넓은 범위에서 다양한 사용자들이 사용할 수 있는 CNC 조각기의 발전이 기대된다. As the culture of making things based on “do-it-yourself” (DIY) activity is increasingly promoted, the use of recent digital technologies and tools, including the 3D printer, have become widespread. However, the use of computerized numerical control (CNC) engraving machine is considered difficult because of the complicated procedures and specialized knowledge required for its operation. Therefore, this study aims to resolve the issue that limits the usability of the CNC engraving machine. This paper presents a novel CNC engraving machine system for non-experts based on human-centered design. First, the size and type of the workpiece and tool are reduced. Second, computer-aided process planning (CAPP) steps such as tool path generation, workpiece clamping, and corresponding coordinate system are automated by compromising productivity and efficiency. As a result, a CNC engraving machine system that can be easily used by non-experts was developed. This development has great significance in that it opens up the possibility of using the CNC engraving machine for a wider range of DIY activities.

치주건강에 대한 주관적 인식과 현존영구치수와의 관련성에 관한 연구

양민철 ( Min Cheol Yang ),조아영 ( A Young Jo ),이병진 ( Byoung Jin Lee ),김병옥 ( Byung Ock Kim ) 조선대학교 구강생물학연구소 2012 Oral Biology Research (Oral Biol Res) Vol.36 No.2

Purpose: periodontal health index is a dentist-centered index in which dentists perform examination and evaluation. Therefore, it is not appropriate for evaluation subjective symptoms and satisfaction levels of patients. To compensate for this shortcoming, we made use of a subjective index of periodontal health status with which patients can evaluate their oral health status. This research evaluated the usefulness of Periodontal age index in examining subjective consciousness of periodontal health status, estimated the number of existing permanent teeth, which is the objective index for oral health, and compared the relationships between them. Materials and Methods: The number of subjects was 2,198, consisting of 1,115 (50.7%) men and 1.083 (49.7%) women. The periodontal age increased in the 18-24 and 40-44 age groups. There were no significant differences between the 40-44 and 55-59 age groups. Further, periodontal age decreased in those aged over 60-64. Results: In this study, periodontal age index increased to age 40 when teeth are lost to periodontal disease and decreased with a decline in the number of permanent teeth. Conclusion: Therefore, the periodontal age index reflects the periodontal state rather than hypofunction by tooth loss.

비숙련자를 위한 프로토타이핑 CNC 조각기 개발의 주요 이슈

양민철(Yang, Min-Cheol),정연찬(Chung, Yun-Chan) 한국디자인학회 2016 한국디자인학회 학술발표대회 논문집 Vol.2016 No.5

유산균 발효에 의한 소청룡탕의 발효 전 후 성분 변화 연구

양민철(Min-cheol Yang),김동선(Dong-seon Kim),정상원(Sang-won Jeong),마진열(Jin-yeul Ma) 한국한의학연구원 2011 한국한의학연구원논문집 Vol.17 No.3

Objective : The purpose of this study was to investigate the changes in the contents of constituents in Socheongryong-tang (CY) and its fermentations (FCY) with 10 species of lactic acid bacteria. Methods : Ten strains of lactic acid bacteria, Lactobacillus casei 127, L. acidophilus 128, L. casei 129, L. plantarum 144, L. amylophilus 161, L. curvatus 166, L. delbruekil subsp. lactis 442, L. casei 693, B. breve 744, and B. thermophilum 748, were used for the fermentation of Socheongryong-tang. The increased and decreased constituents were identified using HPLC/DAD and various liquid chromatographic techniques, and the structure was elucidated using NMR and MS. These compounds were quantitatively analyzed using an HPLC/DAD system. Results : The increased constituents were identified to be liquiritigenin (1) and cinnamyl alcohol (2), and the decreased constituent was determined to be liquiritin (3). Liquiritigenin (1) and cinnamyl alcohol (2) were increased in all of the FCYs, while liquiritin (3) was decreased. The fermentation of the ten lactic acid bacteria demonstrated that the decomposable rate of these three compounds in FCYs were different. Socheongryong-tang fermented by L. plantarum 144 and L. amylophilus 161 showed the most remarkable changes. Conclusions : CY could be increased antibacterial, neuroprotective, or antiinflammatory effect by fermentation with lactic acid bacteria, especially with L. plantarum and L. amylophilus, considering their known biological activities. In addition, it is expected that this study will help to establish quality control parameters for FCY.

그늘쑥의 Seszuiterpene Lactone성분

권학철(Hak Cheol Kwon),최상진(Sang Zin Choi),이원빈(Won Bin Lee),민용득(Yong Deuk Min),양민철(Min Cheol Yang),정애경(Ae Kyung Chung),이규하(Kyu Ha Lee),이강노(Kang Ro Lee) 대한약학회 2001 약학회지 Vol.45 No.2

The phytochemical study of the aerial parts of Artemisia slyvatica(Asteraceae) led to the isolation of nine sesquiterpene lactones, 1-alpha-hydroperoxy-rupicolin A acetate(1), rupicolin B acetate(2), rupicolin A acetate(3), 1-alpha-hydroxy-4-alpha-hydroperoxy-bishopsolicepolide(4), 1-alpha-hydroperoxy-4-beta-hydroxy-8-alpha-acetoxy-guaia-2,9,11(13)-triene-6-alpha,12-olide(5), 1-alpha-hydroperoxy-4-alpha-bishoplicepolide(6), 1-alpha-4-beta-dihydroxy-8-alpha-acetoxy-guaia-2,9,11(13)-triene-6-alpha-12-olide(7), rupicolin A(8) and 1-alpha-4-alpha-dihydroxybisphopsolicedpolide(9). Their structures were established by chemical and spectroscopic methods.

강의평가 문항분석을 통한 사이버대학교의 학습자의 학습목적 탐색

최동규(Dong-Kyu CHOI),양민철(Min-Cheol YANG),정상모(Sang-Mo Jeong),현순안(Soon-An HYUN) 한국수산해양교육학회 2021 水産海洋敎育硏究 Vol.33 No.6

스마트폰 진동 패턴의 인지 및 표현에 관한 연구

예수진(Sujin,Ye),양민철(Mincheol, Yang),김현지(Hyeonji, Kim),정연찬(Yunchan Chung) 한국HCI학회 2016 한국HCI학회 학술대회 Vol.2016 No.1

의견 어구의 구문 관계를 고려한 트위터 의견 검색

김윤성(Yoonsung Kim),양민철(Min-Chul Yang),이승욱(Seung-Wook Lee),임해창(Hae-Chang Rim) 한국정보과학회 2014 정보과학회 컴퓨팅의 실제 논문지 Vol.20 No.9

본 연구에서는 대중적인 소셜 네트워크 서비스 중 하나이며 많은 사람들이 다양한 의견을 공유하는 트위터를 대상으로 질의어(또는 주제어)에 적합한 의견을 지닌 트윗을 검색하는 방법론을 제안한다. 기존의 의견 검색 시스템은 의견을 지닌 구절이 주어진 질의어나 화자와 관련이 없음에도 불구하고 그런 구절의 유무를 중요한 요소로 여겼다. 이와 같은 문제를 해결하기 위하여 본 연구에서는 1) 의견 어구-질의어 관계, 2) 의견 어구-화자 관계, 그리고 3) 의견 어구의 의존 구문 역할 등의 구문 요소를 반영하는 방법을 고안하였다. 또한, 의견을 가진 트윗을 검색하기 위하여 질의어와의 적절성, 텍스트 정보, 사용자 정보, 트위터 특화 자질에 기반한 랭킹 학습 방법을 이용하였다. 실제 데이터를 이용한 실험 결과, 본 시스템은 기존 연구들보다 더 좋은 성능을 보이고 있다. In this paper, we propose a method of retrieving opinioned tweets in Twitter, which is the one of the popular Social Network Services and shares diverse opinions among various users. In typical opinion retrieval systems, they may consider the presence of sentiment phrases (subjectivity) as the important factor even if the subjective phrases are not related to a given query or speaker. To alleviate these problems, we utilized the syntactic structure of a sentence to identify the relationships between 1) subjectivity-query and 2) subjectivity-speaker and 3) the syntactic role of subjectivity. Besides, our learning-to-rank approach is trained to retrieve opinioned tweets based on queryrelevance, textual features, user information, and Twitter-specific features. Experimental results on real world data show that our proposed method can achieve better performance than several baseline methods in terms of precision and nDCG.