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密度差에 따른 毛編織物의 收縮率에 관한 硏究 : It's Dependence Upon Fabric Structure and Tightness
崔聖姬 이화여자대학교 가정대학 의류직물학과 1971 의류직물연구 Vol.- No.1
This study was carried out on the washing of Fabrics knitted from wool and wool/ manmade fibre blends. Two of them were all wool and the rest were wool/ man-made fibre blends. Each of them- had two kinds of knit structure, plain, and rib stitch, and all the structures had three level of compactness. The washing was operated by the wash wheel method. In order to find out the dimensional changes of the fabrics during washing, it was measured the area shrinkage of all the specimen which was marked with indiable color thread. Besides, the tests of wear, thickness, strength and air permeability was carried to find out the relation of structure compactness and other properties. There were three significant interaction between the factors for the data. These showed that the shrinkage rates of, the fabrics was decreased, by increasing cover, factor the shrinkage rates between plain and rib stitch were very close together when cover factor was constant, and thickness and strength of the fabrics were increased by increasing cover factor, on the other hand wear and air permeability of the fabrics were decreased by increasing cover factor.
키워드 네트워크 분석을 통한국내 AAC 연구 동향 분석
최성희,전병운,신지은 한국보완대체의사소통학회 2019 보완대체의사소통연구 Vol.7 No.2
Background and objectives: Recently, in the educational and socio-scientific fields, Keyword Network Analysis has been widely used to analyze research trends. This study also analyzes the research trend related to the AAC by using the Keyword Network Analysis. Method: The study identified the released dates of the AAC-related research recorded in the registered list and waiting list of the KCI 2000-2018, analyzed the keyword network on keywords suggested in the thesis paper and examined how the ego network is formed in the field of disorders which showed high frequency. Result: First, 20000-2018, a total number of 151 AAC-related thesis papers were released, and this figure has steadily increased and more than doubled in 2014 compared to 2013. Second, ‘AAC’ was most frequently found in keywords, followed by ‘severe or multiple disabilities’, ‘brain lesions’, and ‘Autism Spectrum Disorder’. Third, the Ego Network Analysis shows that studies related to severe and multiple disabilities are mainly focused on communication behavior and high tech AAC, studies related to brain lesions are mainly focused on improving communication, studies related to severe and multiple disabilities are mainly focused on PECS, and studies related to intellectual disabilities are mainly based on animation. Discussion and results: The study has significance in that it identified a specific tendency in regards to the trend and major research topics of the AAC studies. 배경 및 목적: 최근에 교육과 사회과학 분야에서 연구의 동향을 분석하기 위하여 키워드 네트워크 분석을 많이 사용하고 있다. 본 연구도 이러한 키워드 네트워크 분석을 활용하여 AAC 관련 연구동향을 분석하였다. 방법: 2000년부터 2018년까지 KCI 등재지와 등재후보지에 발표된 AAC 관련 논문의 시기를 파악하고 논문에 제시된 주제어에 대한 키워드 네트워크 분석하고, 논문 키워드 중 빈도가 높은 장애 영역의 에고 네트워크는 어떠한가를 살펴보았다. 결과: 첫째, 2000년부터 2018년 사이 총 151편의 AAC 관련 논문이 게재되었으며, 꾸준히 증가추세를 보였으며 2014년에는 전년 대비 2배 이상 논문이 작성된 것으로 나타났다. 둘째, 키워드는 ‘AAC’가 가장 높은 빈도를 나타냈으며, ‘중도·중복 장애’, ‘뇌병변장애’, ‘자폐 범주성 장애’ 등의 순으로 높은 빈도를 보였다. 셋째, 에고 네트워크를 분석한 결과 중도·중복 장애와 관련한 연구들은 주로 의사소통 행동과 하이테크 AAC를 중심으로, 뇌병변장애와 관련한 연구들은 주로 의사소통 능력 신장을 중심으로, 자폐 범주성 장애와 관련된 연구들은 주로 그림 의사소통체계를 중심으로, 지적장애와 관련한 연구들은 주로 애니메이션을 중심으로 연구가 이루어졌음을 알 수 있다. 논의 및 결론: 본 연구는 AAC 연구의 동향 및 핵심 연구주제에 대한 구체적인 경향성을 파악하였다는 데 의의가 있다.
최성희,김향희,이원용,최홍식,Choi, Seong-Hee,Kim, Hyang-Hee,Lee, Won-Yong,Choi, Hong-Shik 한국음성학회 2005 음성과학 Vol.12 No.3
Tremor is a main factor of parkinsonism. Voice tremor may be the first, later or the only symptom of a neurological disease and its frequency, amplitude, and regularity may differ among the diseases of different neural subsystems. Differential diagnosis between idiopathic Parkinson's disease (IPD) and multiple system atrophy (MSA) has been difficult. This study included three groups: (1) 6 IPD patients; (2) 6 MSA patients; and (3) 20 ageand sex-matched normal controls. The MDVP (Multidimensional Voice Program) was used to analyze the sustained /a/phonation. The results were as follows: (1) frequency perturbation parameters (jitter, sPPQ, Vf0) and FTRI of tremor parameter of two patient groups were statistically different from those of the controls (p < .01); (2) measures were higher in short-term and long-term f0 and amplitude perturbation in MSA than IPD; (3) however, any acoustic parameters between IPD and MSA were not statistically different; except for the rate of frequency tremor, 4$\sim$5 Hz in IPD, 5$\sim$11 Hz in MSA and (4) the pattern of regularity for voice tremor through histogram indicated that amplitude of IPD was irregular while both f0 and amplitude of MSA were irregular. In conclusion, F0, rate of frequency tremor, and pattern of f0 regularity may be predictors for differential diagnosis. These findings might signify that voice tremor of parkinsonism was resulted from modulation of f0.