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서영민,정지혜,이순형 한국영유아교원교육학회 2016 유아교육학논집 Vol.20 No.6
The purposes of this study were to analyze when and how children express their spontaneous music expression in an early childhood education center. To solve criteria, 10 children from a kindergarten in South Korea participated in this study. The collected data included a field observation diary, interviews with teachers and parents. Main results are as follows. Children do not have the time or inclination to outline the activities, and musical expression appeared voluntarily. Musical expression included expression with play, approaching to music, playing with music and expressing with living. In our results, it follows that Results show that expression with play is divided into drawing with singing, dancing with singing, and talking with singing. Second, children approach to music with song, instruments and movement. Third, playing with music is divided into composing words of a song with peer, music playing about rhythm and being immersed of music. Fourth, expression with living is singing over eating snack, singing over eating lunch and singing over brushing teeth. This study has shown that the nature of voluntarily was provided musical expressions and provided understanding of children’s inner voluntarily musical expressions with living is not a expression of education. 본 연구는 유아의 자발적 음악 표현을 탐색하기 위해 어린이집의 만 3세 유아 10명을 관찰하였고, 담임교사와 면담을 실시하였다. 분석 자료는 자유놀이시간의 관찰일지와 동영상 전사자료이다. 유아들의 자발적 음악 표현은 네 가지의 하위 범주인 놀이와 함께 표현하기, 음악에 다가가기, 음악과 함께 놀이하기, 하루 일과를 통해 표현하기로 나타났다. 첫째, 놀이와함께 표현하기는 그림 그리며 노래하기, 춤추며 노래하기, 이야기하며 노래하기로 나타났다. 둘째, 음악에 다가가기는 노래로 다가가기, 악기로 다가가기, 율동으로 다가가기로 나타났다. 셋째, 음악과 함께 놀이하기는 또래와 함께 가사 만들기, 음악에 맞춰 리듬 연주하기, 음악에나를 맡기기로 나타났다. 넷째, 하루 일과를 통해 표현하기는 간식 먹으며 노래하기, 점심 먹으며 노래하기, 이 닦으며 노래하기로 나타났다. 본 연구는 유아의 자발적 음악표현에 관한근본적 속성을 밝혔으며, 교육이 아닌 삶으로 나타내는 유아들의 내부에 있는 자발적 음악표현을 이해하는데 도움을 얻을 수 있을 것이다.
트리아세틴이 셀룰로스아세테이트/폴리에틸렌글리콜 블렌드 필름의 물성에 미치는 영향
서영민,이해성,이성준,정상원,김현철,김은주,최진현,이세근,Seo, Young Min,Lee, Hae Sung,Lee, Sung Jun,Jung, Sang Won,Kim, Hyun-Chul,Kim, Eun Joo,Choi, Jin Hyun,Lee, Se Guen 한국섬유공학회 2013 한국섬유공학회지 Vol.50 No.3
Cellulose acetate (CA)/polyethylene glycol (PEG)/triacetin (TA) blend films with different composition ratios were prepared by solution casting method to evaluate the effect of TA on the secondary structure and mechanical properties CA/PEG blend films. The cast CA/PEG blend films were drawn under various zone-drawing conditions determined by rheometry. Maximum draw ratio, degree of orientation, crystallinity, surface morphology, and mechanical properties were studied at different TA concentrations. CA/PEG/TA films had higher drawability and degree of orientation than CA/PEG and CA/TA films. Also, the mechanical properties of CA/PEG/TA films were better owing to their ordered structure. TA acted as a compatibilizer to facilitate the extension of polymers in the direction of zone-drawing, when CA or CA/PEG blend films were drawn. This could be a potential solution to the problem of low tensile strength in melt-spun CA/PEG fibers.
서영민,최수정,박찬규,김민철,신동훈 한국식품과학회 2018 Food Science and Biotechnology Vol.27 No.4
Many edible plant extracts exhibit biological activities. For example, the ethanol extract of Pueraria montana var. lobata (P. montana) inhibits acetylcholinesterase (AChE), and red ginseng is well known for promoting health. In this study the authors investigated the synergistic effect of P. montana and red ginseng extracts on AChE activity in vitro and in mouse brain tissues and trimethyltin (TMT)-induced cognitive impairment in a mouse model of TMT-induced neurodegeneration. A diet containing a mixture of P. montana and red ginseng extracts reversed learning and memory impairments in Y-maze and passive avoidance behavioral tests. In addition, the mixture inhibited AChE activity and lipid peroxidation synergistically.
서영민,오현수,서화숙,김화순 한국간호과학회 2006 Journal of Korean Academy of Nursing Vol.36 No.8
Comprehensive Predictors of Fatigue for Cancer Patients Seo, Young Min1)․Oh, Hyun Soo2)․Seo, Wha Sook2)․Kim, Hwa Soon2) 1) Nurse, Inha University Hospital, 2) Professor, Department of Nursing, Inha University Purpose: This study was conducted to identify comprehensive predictors of fatigue in cancer patients. Methods: One hundred ten cancer patients visiting in-patient or out-patient clinics of a university hospital located in Incheon participated in this study. Results: The hematologic indicators (WBC and Hemoglobin) were significant for explaining fatigue. The psychological factors of fatigue were statistically significant. Both anxiety and depression, included as psychological factors, were significant in explaining fatigue in cancer patients. The influence of physical factors on fatigue was also statistically significant. Among the variables included as physical factors, pain, nausea/vomiting/anorexia, and sleep disturbance were significant whereas, dyspnea was not significant. The influence of the daily activity factor on fatigue was statistically significant. Among the variables included as daily activity factors, regular exercise or not and the usual activity level were significant in explaining fatigue of cancer patients, while the level of rest was not statistically significant. Conclusions: From the study results fatigue of cancer patients appeared to be influenced by multidimensional factors, such as physiological, physical, psychological, and activity related factors.
Multistep-Ahead Flood Forecasting Using Wavelet and Data-Driven Methods
서영민,김성원,Vijay P. Singh 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.2
Accurate forecasting of floods is vital for developing a flood warning systems, flood prevention, flood damage mitigation, soilerosion reduction and soil conservation. The objective of this study is to apply two hybrid models for flood forecasting andinvestigate their accuracy for different lead times. These two models are the Wavelet-based Artificial Neural Network (WANN) andthe Wavelet-based Adaptive Neuro-Fuzzy Inference System (WANFIS). Wavelet decomposition is employed to decompose theflood time series into approximation and detail components. These decomposed time series are then used as inputs of ArtificialNeural Network (ANN) and adaptive Neuro-Fuzzy Inference System (ANFIS) modules in the WANN and WANFIS models,respectively. The WANN and WANFIS models yielded better results than the ANN and ANFIS models for different lead times. TheWANN and WANFIS models performed almost similarly. However, in terms of model efficiency, the WANFIS model was superiorto other models for lead times of 1 to 6 hours, and the WANN model was superior to other models for lead time of 8 to 10 hours. Theresults obtained from this study indicate that the combination of wavelet decomposition and data-driven models, including ANN andANFIS, can improve the efficiency of data-driven models. Results also indicate that the combination of wavelet decomposition anddata-driven models can be a potential tool for forecasting flood stage more accurately.