명저의 초점:레이몽 아롱의 지식인의 아편

김준희 북한연구소 1985 北韓 Vol.- No.157

Hesitant fuzzy sets applied to BCK/BCI-algebras

김준희,임평기,이정곤,허걸 원광대학교 기초자연과학연구소 2019 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.18 No.3

We dene a hesitant fuzzy BCK=BCI-algebra and obtain some of its properties. Next, we introduce the concept of hesitant fuzzy ideal and obtain some of its properties and give some examples. Finally, we dene a hesitant fuzzy positive implicative ideal, a hesitant fuzzy im- plicative ideal, a hesitant fuzzy commutative ideal and investigate some of its properties, respectively and their relations. In particular, we give char- acterizations of hesitant fuzzy positive implicative ideal, a hesitant fuzzy implicative ideal and a hesitant fuzzy commutative ideal, respectively.

MEDLINE 검색을 통한 산업안전보건 분야에서의 인간공학 연구동향 : 워드임베딩을 활용한 초록 단어 모델링을 중심으로

김준희,황의재,안선희,곽경태,정성훈,Kim, Jun Hee,Hwang, Ui Jae,Ahn, Sun Hee,Gwak, Gyeong Tae,Jung, Sung Hoon 한국안전학회 2021 한국안전학회지 Vol.36 No.5

This study aimed to analyze the research trends of the abstract data of ergonomic studies registered in MEDLINE, a medical bibliographic database, using word embedding. Medical-related ergonomic studies mainly focus on work-related musculoskeletal disorders, and there are no studies on the analysis of words as data using natural language processing techniques, such as word embedding. In this study, the abstract data of ergonomic studies were extracted with a program written with selenium and BeutifulSoup modules using python. The word embedding of the abstract data was performed using the word2vec model, after which the data found in the abstract were vectorized. The vectorized data were visualized in two dimensions using t-Distributed Stochastic Neighbor Embedding (t-SNE). The word "ergonomics" and ten of the most frequently used words in the abstract were selected as keywords. The results revealed that the most frequently used words in the abstract of ergonomics studies include "use", "work", and "task". In addition, the t-SNE technique revealed that words, such as "workplace", "design", and "engineering," exhibited the highest relevance to ergonomics. The keywords observed in the abstract of ergonomic studies using t-SNE were classified into four groups. Ergonomics studies registered with MEDLINE have investigated the risk factors associated with workers performing an operation or task using tools, and in this study, ergonomics studies were identified by the relationship between keywords using word embedding. The results of this study will provide useful and diverse insights on future research direction on ergonomic studies.

Electrospun badger (Meles meles) oil/Ag nanoparticle based anti-bacterial mats for biomedical applications

김준희,김철상,박찬희,Afeesh Rajan Unnithan,kim han joo,Arjun Prasad Tiwari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.30 No.-

In this study, silver nanoparticles and badger oil were embedded into nanofibrous polyurethane (PU)mat via electrospinning. Badger oil is mainly composed of fatty acids and is used as a traditional medicine to heal wounds and the silver nanoparticles contribute to the wound healing process by reducing wound contamination. The composite mats exhibited good bactericidal activity against both of Gram positive and Gram negative bacteria. with better cell attachment and proliferation. The results of this study indicate that the proposed composite mats can be used for various biomedical purposes, including as dressing for burn wounds or to treat skin disease.

워드임베딩을 활용한 복압성 요실금 관련 연구 동향에 관한 융합 연구

김준희,안선희,곽경태,원영수,유화익,Kim, Jun-Hee,Ahn, Sun-Hee,Gwak, Gyeong-Tae,Weon, Young-Soo,Yoo, Hwa-Ik 한국융합학회 2021 한국융합학회논문지 Vol.12 No.8

본 연구의 목적은 '복압성 요실금'을 키워드로 검색된 연구들의 경향과 특성을 단어 빈도를 통해 분석하고, 워드 임베딩을 사용하여 그 관계를 모델링 하고자 하였다. 의학 서지 데이터베이스인 MEDLINE에 등록되어 있는 복압성 요실금 연구 9,868개 논문들의 초록 문자 데이터를 Python 프로그램을 이용하여 추출하였다. 그런 다음 빈도 분석을 통해 10개의 키워드를 선택하였다. 키워드 관련 단어들의 유사도는 Word2Vec 머신러닝 알고리즘으로 분석하였다. 그리고, t-SNE 기법을 사용하여 단어의 위치와 거리가 시각화하였고, 이에 따라 그룹을 분류하여 이를 분석하였다. 복압성 요실금과 관련된 연구는 1980년대 이후 빠르게 증가했다. 키워드 분석을 통해 논문 초록에서 가장 많이 사용된 키워드는 '여성', '요도', '수술'로 나타났다. Word2Vec 모델링을 통해 복압성 요실금 관련 연구에서 주요 키워드들과 가장 높은 연관성을 나타내는 단어들에는 '여성', '절박', '증상' 등이 있었다. 그리고, t-SNE 기법을 통해 키워드와 관련 단어들은 복압성 요실금의 증상, 신체 기관의 해부학적 특성, 그리고 수술적 중재를 중심으로 하는 3개의 그룹으로 분류될 수 있었다. 본 연구는 초록을 구성하는 단어들의 키워드 빈도 분석 및 워드임베딩 방식을 이용하여 복압성 요실금 관련 연구들의 동향을 살펴본 최초의 연구이다. 본 연구의 결과는 향후 연구자들이 복압성 요실금 관련 연구 분야의 주제와 방향성을 선택하는 데 있어 기초자료로 활용될 수 있을 것이다. The purpose of this study was to analyze the trends and characteristics of 'stress urinary incontinence' research through word frequency analysis, and their relationships were modeled using word embedding. Abstract data of 9,868 papers containing abstracts in PubMed's MEDLINE were extracted using a Python program. Then, through frequency analysis, 10 keywords were selected according to the high frequency. The similarity of words related to keywords was analyzed by Word2Vec machine learning algorithm. The locations and distances of words were visualized using the t-SNE technique, and the groups were classified and analyzed. The number of studies related to stress urinary incontinence has increased rapidly since the 1980s. The keywords used most frequently in the abstract of the paper were 'woman', 'urethra', and 'surgery'. Through Word2Vec modeling, words such as 'female', 'urge', and 'symptom' were among the words that showed the highest relevance to the keywords in the study on stress urinary incontinence. In addition, through the t-SNE technique, keywords and related words could be classified into three groups focusing on symptoms, anatomical characteristics, and surgical interventions of stress urinary incontinence. This study is the first to examine trends in stress urinary incontinence-related studies using the keyword frequency analysis and word embedding of the abstract. The results of this study can be used as a basis for future researchers to select the subject and direction of the research field related to stress urinary incontinence.

회전기와 첩 광섬유 격자를 이용한 가변 분산 보상기

김준희,배준기,한영근,김상혁,이상배,정제명 한국광학회 2004 한국광학회지 Vol.15 No.2

본 논문에서는 첩 광섬유 격자를 이용한 가변 분산 보상기를 소개한다. 개발된 가변 분산 보상기는 금속판의 벤딩에 의해 유도되는 인장력과 수축력에 대한 분석을 기반으로 첩광섬유 격자의 분산 값을 제어할 수 있도록 설계되었으며, 제작된 분산 보상기는 단순히 금속 원판의 회전만으로 광섬유 격자에 선형적인 인장력과 수축력을 유도하곤 중심파장의 이동이 없이 분산 값을 변화시킬 수 있었다. 분산 값은 회전각의 변화에 따라 228.04 ㎰/nm∼1430.7 ㎰/nm의 범위에서 분산 값을 제어할 수 있었다. 그리고 중심 파장의 이동은 0.03 nm미만이었다. A systematic method for tunable dispersion compensation based on chirped fiber Bragg gratings without a center wavelength shift is proposed. The specially designed mechanical rotator can flexibly control the chirping ratio along the fiber grating and the corresponding dispersion value. The group delay can be linearly controllable since the proposed method can induce a linear strain gradient with the rotation angle change. The dispersion value could be controlled from 228.04 ㎰/nm to 1430.7 ㎰/nm with small center wavelength shift, which was less than 0.03 nm.

Hesitant fuzzy subgroups and subrings

김준희,임평기,이정곤,허걸 원광대학교 기초자연과학연구소 2019 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.18 No.2

We define a hesitant fuzzy subgroupoid and obtain some of its properties. Next, we introduce the concepts of hesitant fuzzy subgroups, hesitant fuzzy ideals and hesitant fuzzy normal subgroups, and obtain some of its properties, respectively (In particular, see Theorems 4.5, 4.7 and 4.16, and Propositions 4.23 and 4.24). Finally, we define a hesitant fuzzy subring and investigate some of its properties. In particular, we give a characteristic of a (usual) field by a hesitant fuzzy ideal (See Proposition 5.9).

The category of hesitant $H$-fuzzy sets

김준희,전영배,임평기,이정곤,허걸 원광대학교 기초자연과학연구소 2019 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.18 No.1

We redefine the hesitant fuzzy empty set, the hesitant fuzzy whole set, the intersection and the union of two hesitant fuzzy sets, and prove that the family $HS(X)$ of all hesitant fuzzy sets in a set $X$ is a Boolean algebra. Next, we introduce the category ${\bf HSet}(H)$ consisting of hesitant $H$-fuzzy spaces and preserving mappings between them and study the category ${\bf HSet}(H)$ in the sense of a topological universe and prove that it is Cartesian closed over $\bf Set$, where $\bf Set$ denotes the category consisting of ordinary sets and ordinary mappings between them.

전기회로 과제에서 초등학생들의 귀인성향에 따른 인지갈등과 개념변화

김준희,김연수,권재술 한국과학교육학회 2005 한국과학교육학회지 Vol.25 No.7

구조물 현장 진동실험에 기초한 데이터기반 유한요소모델 추정 기법

김준희 한국구조물진단유지관리학회 2014 한국구조물진단유지관리공학회지 Vol.18 No.2