과천종합사회복지관

권민희,김민 경기대학교 사회과학부 사회복지전공 1999 사회복지실습 평가보고서 Vol.2 No.-

중소기업 최고경영자의 컨설턴트 역량이 기업의 혁신성과 및 경영성과에 미치는 영향에 대한 연구

권민희,이상복,유연우 대한산업경영학회 2022 산업융합연구 Vol.20 No.11

경영환경이 급변함에 따라 기업 운영에 어려움을 겪으며 특히 대기업에 비해 중소기업의 경영에 최고경영자의 역할이 막중함에 따라 상대적으로 최고경영자의 역량이 경영성과에 많은 영향을 주고 있다. 이로 인해 중소기업의 경쟁력 제고를위해서는 최고경영자의 역량이 중요하다. 한편 컨설턴트란 기업과 조직이 당면한 다양한 이슈에 대하여 객관적이고 합리적의사 결정을 유도하여 경영활동에 직간접적으로 참여하는 주체로 정의된다. 컨설턴트가 필수적으로 갖추어야 하는 경영적 전문 지식, 문제해결 능력, 의사소통 능력, 통찰력, 리더십 등은 컨설턴트의 역량이라고 할 수 있으며, 이는 특정 기간 동안의 계약 유무를 제외하면 최고경영자가 기업의 경영과 경쟁력 제고를 위해 갖추어야 하는 역량과 동일하다. 따라서 본 연구는 선행연구를 통하여 최고경영자의 컨설턴트 역량으로서 4가지 변수인 직무역량, 커뮤니케이션 역량, 학습역량, 혁신역량으로 구분, 해당 변수가 각각 기업의 혁신성과에 미치는 영향과 혁신성과가 기업의 경영성과에 미치는 영향을 파악하고자 하였다. 조사는 제조 및 서비스업의 중소기업을 대상으로 진행하였으며 분석기법은 신뢰성 및 타당성 분석, 확인적 요인분석과 구조방정식 분석을 실시하였다. 연구결과 첫째, 최고경영자의 직무역량, 커뮤니케이션 역량, 학습역량, 혁신역량은 각각 기업의 혁신성과에 유의한 영향을 미치는 것으로 나타났다, 둘째, 기업의 혁신성과는 경영성과에 유의한 영향을 미치는 것으로 나타났다. 이를 통해 본 연구는 중소기업 최고경영자의 역량을 컨설턴트 역량과의 공통적 요소를 도출하였으며 중소기업의 성과를향상할 때 필요한 최고경영자의 역량 특성의 시사점을 도출하였다.

Optimization of One-step Extraction and Transesterification Process for Biodiesel Production from the Marine Microalga Nannochloropsis sp. KMMCC 290 Cultivated in a Raceway Pond

권민희,염승호 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.2

Biodiesel production from microalgal biomass by a one-step direct process was investigated, and optimal conditions for this process were determined. The one-step direct process comprises the extraction of lipids from microalgae and the simultaneous transesterification of the unpurified lipids with methanol. The lipid content of Nannochloropsis sp. KMMCC 290, which was cultivated in a raceway pond, was determined to be 16.1% by pretreatment using a bead beater and conventional lipid measurement by the Bligh and Dyer method. Among the combinations of catalysts and organic extraction solvents evaluated, sulfuric acid with chloroform showed the highest lipid extraction efficiency and biodiesel conversion. Contrary to previous reports, the effect of shaking on lipid extraction and biodiesel conversion during biodiesel production was not significant. The optimal temperature and reaction time were determined to be 70°C and 90 min, respectively. Under the optimal conditions, the biodiesel conversion based on the total lipid content and the convertible lipid content was 84.2 and 96.7%, respectively. The highest biodiesel production was 155.7 mg/g-dry cell.

수학외적관련성문제 해결 ( 의뢰인 : 박순관 )

권민희,박순관 영남대학교 통계연구소 2000 통계처리상담사례집 Vol.4 No.-

2P-63:Optimization of algal oil extraction from Nannochlorosis sp. using organic solvents for biodiesel production

권민희,박흠기,염승호 한국공업화학회 2012 한국공업화학회 연구논문 초록집 Vol.2012 No.1

잣기름을 활용한 혼합유의 지방산 분석

권민희,정상미,정봉환,김송근,변상직,라문진 강원대학교 농업생명과학연구원 2021 강원 농업생명환경연구 Vol.33 No.-

Among fatty acids, omega-3 and omega-6 fatty acids are called polyunsaturated fats because they have several double bonds. Both are biologically active and play an important role in immune system and metabolism processes in the body. The intake of omega-3 and omega-6 fatty acids in a ratio of 1:4–5, which is recommended by the World Health Organization for a balanced nutrition, can help prevent the onset of insulin resistance, depression, high blood pressure, stroke, and obesity. However, in modern diets, people consume too much omega-6 fatty acids. One reason is the consumption of mostly vegetable oils, which contain a high amount of omega-6 fatty acids. We hypothesized that a proper mix of oil extracted from pine nuts and general oils could provide the desirable functional benefits through ensuring a 1:4–5 ratio of omega-3 to omega-6 fatty acids. Therefore, this study investigated whether mixing pine nut oil with general oils could provide the ideal composition ratio of 1:4–5 of omega-3 to omega-6 fatty acids. Perilla, hazelnut, olive, avocado, and hemp seed oils were selected as the candidates for mixing with pine nut oil. The individual profiles of fatty acids and the omega-3:omega-6 fatty acids ratio in the mixtures were analyzed using a GC-FID system. Our results showed that the mixture of 85% pine nut oil and 15% perilla oil had an optimal omega-3 to omega-6 fatty acids ratio of 1:4–5. These findings suggest that the proportioned mixture of pine nut oil and perilla oil has the potential to develop oil blends with improved functionality.

Biodiesel Production from Wet Marine Microalgae via a One-step Direct Process in the Presence of an Adsorbent

권민희,염승호 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.3

To decrease the cost of biodiesel production from microalgae, biodiesel was produced from wet marine microalgae by a one-step direct process. In this process, simultaneous lipid extraction from the wet microalgae and transesterification of the lipid with methanol was conducted. Among the combinations of catalysts and organic extraction solvents that were evaluated, sulfuric acid and chloroform represented the optimum combination. The degree of water content for wet microalgae significantly influenced biodiesel production: in the presence of 348.4% water content in intact wet microalgae, lipid extraction efficiency (LEE) was 73.2% and biodiesel conversion (BC) was 50.5%, but at a lower water content of 185.7%, LEE increased to 84.7% and BC to 69.9%. Increasing the amount of chloroform by 50% relative to the standard amount increased LEE and BC to 81.2 and 56.1%, respectively. Of the adsorbents evaluated, zeolite noticeably increased LEE to 98.7%. Increasing the amount of chloroform by 50% in the presence of zeolite caused a further significant increase in LEE and BC to 98.3 and 75.3%, respectively. These results indicated that biodiesel production from wet microalgae could be enhanced markedly by the addition of adsorbents with increased amounts of organic extraction solvents.

나는 승현이를 ‘교사로’ 만났는가? - van Manen의 사유에 비추어 바라 본 한 교사의 자전적 성찰 -

권민희 초등교육학회 2017 初等敎育學硏究 Vol.24 No.2

Phenethyl Isothiocyanate Improves Lipid Metabolism and Inflammation via mTOR/PPARγ/AMPK Signaling in the Adipose Tissue of Obese Mice

권민희,윤정미 한국식품영양과학회 2021 Journal of medicinal food Vol.24 No.6

Obesity is defined as excess adipose mass that causes serious health problems. Phenethyl isothiocyanate (PEITC) is a major and relatively nontoxic compound of the isothiocyanates. Although many studies have demonstrated that PEITC is a potent substance with physiological activities, such as anticancer activity, the precise mechanism for the effects of PEITC on inflammation and lipid metabolism in adipose tissue is not clear. Our study aimed to clarify the effects of PEITC supplements on the adipose tissue in obesity induced with a high-fat/cholesterol diet, and the underlying mechanisms. We induced obesity by feeding the mice with high fat with 1% cholesterol diet (HFCD) for 13 weeks. Mice were divided into five groups: normal diet (CON), HFCD, HFCD with 3 mg/(kg·d) gallic acid (HFCD+G), and HFCD with 30 and 75 mg/(kg·d) PEITC (HFCD+P30 and HFCD+P75, respectively). Using western blotting and quantitative polymerase chain reaction (qPCR) analysis of the adipose tissue, we determined the expression of lipid metabolism-related genes and inflammation-related genes. In the HFCD, the expression level of nuclear factor-κB (NF-κB), lectin-like oxidized low-density lipoprotein receptor 1 (LOX-1), and cyclooxygenase-2 (COX-2), was higher compared with that in the CON. Moreover, in the HFCD, the expression of p-mechanical targets of the rapamycin (mTOR) was increased, whereas that of p-AMP-activated protein kinase (AMPK) was decreased compared with that in the CON. Nevertheless, these decreased expression levels of p-AMPK and increased levels of LOX-1, p-mTOR, peroxisome proliferator-activated receptor gamma (PPARγ), NF-κB, and COX-2, were alleviated by PEITC supplementation. Therefore, we suggest that PEITC might be a potential preventive agent for ameliorating obesity-induced inflammation and adipogenesis by modulating the mTOR/AMPK/PPARγ pathway.

Xception 과 영상처리를 이용한 분말 공정에서의 과립 분류 방법

이현정(Hyeon Jung LEE),조혜연(Hye Yeon JO),양혜린(Hye Rin YANG),정의현(Eui Hyun JUNG) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11

세라믹 분말 공정 과정에서 과립의 품질은 세라믹 제품의 품질에 큰 영향을 미친다. 전체 과립에서 비정상 과립의 비율이 높을수록 제품의 품질이 떨어질 확률도 높아진다. 따라서 제품의 품질을 높이기 위해서는 제품 공정 전에 전체 과립의 개수에서 비정상 과립의 비율을 파악하는 것이 중요하다. 본 논문에서는 현미경으로 촬영한 과립 이미지에서 영상처리를 통해 개별 과립을 검출하고, 딥러닝 모델인 Xception 을 사용하여 과립의 품질을 분류하는 알고리즘을 제안한다.