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탄소원 종류에 따른 환경친화성 생물소재인 세균 섬유소의 생산 및 특성
박성진,최승훈,박민주,이오미,손홍주,Park, SungJin,Choi, Seunghoon,Park, MinJoo,Lee, O-Mi,Son, Hong-Joo 한국환경과학회 2020 한국환경과학회지 Vol.29 No.8
Production of Bacterial Cellulose (BC) by Gluconacetobacter sp. A5 was studied in shaken culture using different cost-effective carbon sources and its structural and mechanical properties were evaluated. Glycerol showed the highest level (7.26 g/l) of BC production, which was about three times higher than the yield in glucose medium. BC production depended not only on the decrease in pH, but also on the ability of Gluconacetobacter sp. A5 to synthesize glucose from different carbon sources and then polymerize it into BC. All BC produced from different carbon sources exhibited a three-dimensional reticulated structure consisting of ultrafine cellulose fibriles. Carbon sources did not significantly change the microfibrile structure of the resulting BC. BC produced from glucose medium had the lowest water-holding capacity, while BC from molasses medium had the highest. XRD data revealed that all BC were cellulose type I, the same as typical native cellulose. The crystalline strength of BC produced in glucose medium was the highest, and that in molasses medium was the lowest. Our results suggest that glycerol could be a potential low-cost substrate for BC production, leading to the reduction in the production cost, and also to produce BC with different mechanical properties by selecting appropriate carbon source.
1994년~2014년 한국생활환경학회지의 연구동향 분석
박성진(Sungjin Park),하정윤(Jeong-Yoon Ha),이주영(Joo-Young Lee) 한국생활환경학회 2015 한국생활환경학회지 Vol.22 No.3
This study investigated original articles published in the Journal of the Korean Society of Living Environmental System (JKSLES), Journal of Physiological Anthropology (JPA), and Journal of Human-Environment System (JHES) from 1994 to 2014. Quantitative, qualitative, and historical analyses were conducted through the analysis of authors, affiliations, tables, figures, references, and key words. Based on the data, the main difference among journals was the average number of authors per article mapped over time. It was 2.7±1.5 authors in JKSLES having dominant articles with 2 authors, 2.9±1.6 authors in JHES having dominant articles with 3 authors, and 4.3±2.2 authors in JPA having dominant articles with 4 authors, respectively. ‘Thermal comfort’ was the main key word in JKSLES throughout the whole year. Periodically, ‘skin temperature’ (1994~1995), ‘thermal comfort’ (1996~2000), ‘thermal comfort’ (2001~2005), ‘physical activity’ (2006~2010), and ‘elderly’ (2011~2014) were the most frequently appeared key words in the JKSLES articles. We analysed the network among authors in terms of degree centrality, betweenness centrality, and closeness centrality. The findings showed that JKSLES made noticeable progress in the development of knowledge but interdisciplinary collaborative researches among the following four major areas, ‘construction, sports science, health science, and clothing science’ were not actively accomplished.
세계 모바일 통신 분야 연구의 의미망 분석을 통한 연구동향 분석
박성진(Sungjin Park),백승철(Seungcheol Baek),문혜정(Hyejung Moon) 한국경영학회 2017 한국경영학회 통합학술발표논문집 Vol.2017 No.08
이 연구는 곧 다가오는 5g 기술이 4차 산업혁명에 어떠한 영향을 미치는가에 대한 의문으로부터 시작한다. 미래를 마주하기 위해서는 과거의 데이터를 주의 깊게 볼 필요성이 있으므로 60년대부터 2017년 현재까지 세계 이동통신분야 선행연구를 토대로 빅 데이터 분석을 통한 동향분석 및 세대 별 기술을 중심으로 분석 하는 것이 목적이다. 이론적 배경에서 기술을 결합도와 상호연결성에 따라 구분한 GE 매트릭스를 바탕으로 세계 통신관련 연구를 분석하였다. 연구절차는 Atteveldt(2008)의 의미망분석 방법론을 준수하여, 의미망 분석하고 네트워크 분석으로 나온 기술들을 분석하였다. 기존의 논문들은 주로 차세대 기술에 대해 조사하고, 시나리오 분석과 기초 원리를 분석 또는 기술을 설명한 반면에, 본 연구는 과거의 통신 기술부터 현재 5g까지 총망라한 데이터를 수집하해 그 데이터를 전처리하고 빅데이터 분석을 하여 동향을 조사하는 연구를 한다. 1960년부터 2017년 6월 까지 ’mobile’ 키워드를 갖는 학제를 web of science의 약18만 여건의 연구 데이터를 대상으로 사용하였다. 전처리 과정을 거쳐 khcoder와 NodeXL를 사용해 동시출현성 분석, 연관성 분석, 연결성 분석 등을 수행하였다. 연구결과, 주된 연구 분야는 Network, Robot, Phone, Channel 네 가지 분야이다. Network분야의 주요 과제는 network, wireless, ad_hoc, mobility 등 이다. Robot 분야의 주된 과제는 control, vehicle, environment 등 이다. Phone 분야의 주요 연구는 cell, exposure, radiation 등 이다. Channel 분야의 주요 연구는 radio, performance, evaluation 등 이다. 이 결과 Network와 Health 분야에서 융합연구가 활발하게 수행된 것으로 확인되었으며, 다른 분야도 상대적으로 두 분야에 비해 상대적으로 낮을 뿐 90년대 이후로 활발하게 연구가 이루어져 있었다. 또한 56년간 장기간의 시계열 분석을 통해 신규로 대두되는 연구 분야를 탐색할 수 있고, 세대별 주요 이슈와 5G의 떠오르는 핵심 기술을 살펴 볼 수 있다. The study starts with questions about how the upcoming 5g technology will affect the Fourth Industrial Revolution. In order to face the future, it is necessary to pay close attention to past data. Therefore, it is aimed to analyze trends through big data analysis based on previous researches of world mobile communication from the 60’s to 2017, The theoretical background is based on the GE Matrix, which is based on the combination of technology and interconnectivity. The research procedure follows the Atteveldt (2008) semantic analysis methodology, analyzing the semantic network and analyzing the techniques of network analysis. While existing papers mainly investigate the next generation technologies, analyze the scenarios, analyze the basic principles, or describe the technology, this study collects data from the past communication technology to the current 5g, preprocesses the data, Do research to investigate trend by doing. From 1960 to June 2017, we used a database of about 180,000 web of sciences with the keyword ‘mobile’. Simultaneous appearance analysis, associativity analysis, and connectivity analysis were performed using khcoder and NodeXL after preprocessing. As a result of research, the main fields of research are Network, Robot, Phone, and Channel. The main challenges in the network are network, wireless, ad_hoc, and mobility. The main tasks in the robot field are control, vehicle, and environment. Major researches in the field of phone are cell, exposure, and radiation. Radio, performance, and evaluation are the main research areas in the channel field. As a result, it has been confirmed that the convergence researches are actively performed in the network and health fields, and the other fields are relatively low compared to the two fields and have been actively studied since the 1990s. In addition, through a 56-year long-term time-series analysis, we can explore new emerging research fields and look at major issues by generations and emerging key technologies of 5G.