본 연구는 대구광역시를 사례지로 선정하여 도시의 토지유형별 저항정도를 파악하고 연결성을 분석함으로써 녹지네트워크 계획의 방향성을 제시하는데 가장 큰 의의를 두었다. 이를 위해 우선 거점지역을 추출하고, 생태계서비스 중 종⋅보전을 위한 가치를 저항 값으로 계산하여 저항표면을 작성하였다. 또한 최소비용거리분석을 활용하여 녹지 간 연결성을 확인하였다. 주요결과를 요약하면 다음과 같다. 먼저 거점지역 추출결과 연구대상지의 10ha 이상의 거점녹지지역은 총 131개 지역이 추출되었으며 이는 대구광역시 총 녹지면적의 약 72%에 해당한다. 저항표면 작성 결과 도시 내 자연형 산림을 포함하고 있는 두류공원, 학산공원 등은 주변 도시개발로 인해 고립도가 상당히 큰 것으로 측정이 되었다. 비용표면을 적용한 거점지역 간 인접성 확인결과 총 326쌍이 인접된 것으로 확인 되었으며 이는 단순 직선거리를 적용한 것에 비해 30쌍이 줄어든 것을 확인 할 수 있었다. 최소비용 거리계산 결과 총 383개의 Link가 확인 되었으며, 이들의 평균거리는 약 3.59km로 단순 직선거리 보다 약 3배가량 증가한 것으로 나타났다. 본 연구의 결과는 차후 공원녹지 기본계획 시 중요한 기초자료를 제공 해줄 수 있을 것이며 특히, 현재 기능이 떨어진 연결지점 및 중요 거점녹지 파악에 있어 실효를 거둘 수 있을 것으로 예상된다.

목적 : 지역사회 거주하는 뇌졸중 환자들을 대상으로 ICF core set-vocational rehabilitation을 사용하여 직업복귀를 제한하는 요인을 분석하고자 한다. 연구 방법 : 2017년 7월 1일부터 8월 31일까지 전국에 지역사회 거주하고 있고, 기관에 외래치료를 받으러 다니는 무직인 뇌졸중 환자를 대상으로 실시하였다. 설문지는 ICF core set-vocational rehabilitation 및 Kim(2007)의 설문지를 수정 보완하여 평가하였다. 총 200부 설문지 중 144부(72.00%)를 수거 하였다. 결과 : 뇌졸중 환자들의 직업복귀를 제한하는 요인을 분석하기 위해 활동과 참여 영역 요인들과 상관관계 를 보였던 요인들을 비교하였을 때, b1(정신 기능), b7(신경근육 골격 및 운동과 관련 기능), e3(지원과 관계) 요인에서 모두 양의 상관관계를 보였다. 결론 : 뇌졸중 환자들의 직업복귀를 통해 지역사회 참여를 이끌어 내기 위해서는 가족, 치료사 및 사회적 지지와 응원을 바탕으로 신체적, 정신적 기능향상을 시킬 수 있는 작업치료의 중재가 필요한 것을 확인 하였다.

본 연구를 통해 지역 이벤트 참가 관광객의 감정과 태도를 통해 만족 요인을 파악하여 지역 이벤트가 지속적으로 발전하기를 위한 방안을 제시하고자 한다. 또한, 본 연구에서 지역 이벤트의 관광객을 대상으로 그들이 지각하는 경험적 가치, 감정반응, 태도의 개념 및 특성을 파악하고 각 변수 간 영향 관계를 알아보았다. 조사대상의 특성을 파악하기 위하여 빈도분 석을 실시하였으며, 경험적 가치에 대한 분석 결과 아이겐 값(Eigen value) 1.0 이상을 기준으로 5개의 요인이 추출되었으며, 누적분산 값도 60%를 넘어 요인분석 결과가 상당히 타당하다는 것을 보여 주고 있다. 감정반응에 대한 긍정적인 감정반응이 Cronbach's α 0.913, 태동에 대한 탐색적 요인분석 결과 Cronbach's α 0.884로 높은 것으 로 나타났다. 본 연구에서는 지역 이벤트 관광객이 지각하는 경험적 가치는 감정반응과 태도에 각각 유의미한 영향을 미치는 것으로 나타났으며, 본 연구의 결과로 도출된 시사 점이 지역 이벤트를 기획하고 운영하는 데 있어 방향성을 제시할 수 있는 기초자료가 될 것이다.

Research on cosmetic behavior has developed significantly since the 2000s. Reviewing cosmetic behavior research can be meaningful because it can grasp trends in the domestic cosmetics market, and it can also illuminate how domestic consumers’ interest in makeup has changed over time. The purpose of this study is to investigate the links between major keywords and the keywords which affect makeup behavior of different age groups through network analysis. In this study we analyzed thesis and journal data based on makeup behavior through network analysis using Nodexl. We analyzed 10 years of journals and theses - from 2000 to 2017, and investigated age-related differences in variables related to makeup behavior. Research subjects were divided into age-based groups: 10, 20-40, and over 50. The total number of theses collected was 82. In order to perform network analysis using the Nodexl program, we extracted the frequency of representative words using the KrKwic program. The extracted core words were analyzed for degree centrality, betweenness centrality and eigenvector centrality using Nodexl. The expected result is that the network analysis using keywords will lead to different variables depending on age and the main goal of the cosmetics market, and it is expected to be used as the basis for follow-up research related to cosmetic behavior.

As the spread of the health and wellness trend continues worldwide, many consumers are spending much time on sports activities and expressing their individuality through sportswear. This study analyzes the trade networks of major exporters and importers of athleisure wear to provide an exporting policy for Korean apparel companies. As a result, The USA was found to import the most athleisure wear. On the other hand, China had the largest number of athleisure wear exports, and India’s exports, which are becoming increasingly important as apparel producers were notable. Next, using the concept of the centrality of social network analysis, it was found that the USA was the largest importer and the center of athleisure wear’s export network, but its influence has decreased gradually since 2010. China has the highest out-degree and betweenness centrality and center in the export of athleisure wear. The centrality of Asian countries such as India and Vietnam has increased. In Korea, the import of athleisure wear has increased greatly, but the export of athleisure wear has continuously decreased. Korea has less price competitiveness than other developing countries in Asia, but many Korean athleisure wear clothing brands are now attracting popularity not only in Korea but also in other countries with their excellent technology and design. In the future, the exporting policy of Korea’s athleisure wear should focus on high value-added and differentiated products.

목적 : 다양한 종류의 안경렌즈로 유발된 부등상시도를 측정하고 안경렌즈의 요소들이 부등상시도에 미치는 영향을 비교분석 하고자 하였다. 방법 : 안질환의 병력이 없는 성인 41명을 대상으로 우세안에 +2.00 D에서 –2.00 D까지 1.00 D 간격으로 굴절률과 설계가 상이한 구면렌즈와 비구면렌즈를 착용하고, Awaya 부등상시 검사법으로 정량적 부등상시도를 측정하여 그 결과를 비교분석하였다. 결과 : 부등상시도는 중심두께(p<0.001)가 두꺼워질수록, 전면굴절력(p<0.001)이 높아질수록 부등상시도가 높아졌으며, 굴절률은 높을수록 부등상시도가 감소하였고(p<0.001), 구면렌즈에 비하여 비구면렌즈에 의한 부등상 시도가 작게 나타났다. 부등상시도와의 상관관계는 중심두께가 가장 높은 연관성을 나타냈고, 전면굴절력, 굴절률의 순으로 연관성을 보였으며(p<0.001), 인과관계는 중심두께의 영향이 가장 큰 것으로 나타났으며(p<0.001), 전면굴절력(p<0.010), 굴절률 순으로 영향을 미치는 것으로 나타났다. 결론 : 부등시의 교정을 일반 안경렌즈로 교정하고자 할 때, 부등상시도와 안경렌즈 각 요소와의 관계를 고려하여 교정렌즈 종류를 선택하면 부등상시도 감소에 참고가 되리라 사료된다.

A trend analysis of research articles in a field of knowledge is significant because it can help in finding out the structural characteristics of the field and the future direction of research through observing change in a time series. We identified the structural characteristics and trends in text data (keywords) gathered from research articles which in itself is an important task in various research areas. The titles and keywords were crawled from research articles published from 2016 to 2018 in the Research Journal of the Costume Culture (RJCC), one of the representative Korean journal in the field of clothing and textile. After we extracted data comprising English titles and keywords from 195 published articles, we transformed it into a 1-mode matrix. We used measures from network analysis (i.e., link, strength, and degree centrality) for evaluating meaningful patterns and trends in the research on clothing and textile. NodeXL was used for visualizing the semantic network. This study observed change in the clothing and textile research trend. In addition to covering the core areas of the field, the subjects of research have been diversifying with every passing year and have evolved onto a developmental direction. The most studied area in articles published by the RJCC was fashion retailing/consumer psychology while aesthetic/historic and fashion industry/policy studies were covered to a more limited extent. We observed that most of the studies reflecting the identity of RJCC share subject keywords to a significant extent.

“W si wo le” and “W si wo suanle” are two constructions commonly used in modern Chinese spoken language, and they all have a high degree of meaning. The two constructions can sometimes be used interchangeably, there will be some subtle differences in semantics after the switchover; but in some cases, the two are not interchangeable. According to the corpus survey, we found that “W si wo le” is much more commonly used than“W si wo suanle” . “W si wo suanle” as a new construction is used only in a specific context in spoken Chinese, “suanle”as an extremely important component of the construction “W si wo suanle” must affect the choice of the variable W, the meaning of this construction and the syntactic features of this construction. This paper intents to compare the similarities and differences of “W si wo le” and “W si wo suanle” on the use and characteristics of the variable W, the construction meaning and the syntactic features ,we also try to analyze and explain the causes of these differences.

국제적으로 신품종과 품종 육성자의 권리가 지적 재산권으로 보호됨에 따라 화훼작물의 경우 국내 민간종묘에서 품종 개발이 거의 이루어지지 않아 농촌진흥청 원예시험장(구 국립 원예특작과학원) 화훼과에서 1992년부터 본격적으로 품종육성 연구가 시작되었다. 2017년 재배면적 44ha, 판매액 93.6억원 인 주요 난류의 하나인 심비디움은 다른 화종에 비해 육종년 한이 길어 2002년에 ‘뷰티프린세스’ 등 4품종이 육성된 후 2017년까지 51품종이 육성되었고, 농촌진흥청 연구비 지원으로 지산영농조합법인에서도 ‘핑크레이스’ 등 26품종이 육성된 바 있다. 이렇게 개발된 품종은 농가에 보급되어 분화나 절화 로 유통되고 있어 최근에는 국산 품종에 대한 재배농가의 인지도가 높아지고 있다. 2009년부터 2017년까지 aT화훼공판장 에서 거래되고 있는 국산 심비디움 품종들의 분화 거래내역을 조사한 결과, 농촌진흥청 개발 51품종 중 21품종이 지산영농 조합 개발 26품종 중 7품종이 1년에서 5년동안 거래된 것을 확인하였다. 국산 품종 거래 수는 2010년과 2015년을 제외하고는 2,568~5,693분으로 총 심비디움 판매량의 1.5~2.1%를 차지하였다. 심비디움 거래량의 65.2~97.6%를 차지하는 꽃대 2, 3, 4대 가격을 비교한 결과, 국산 품종이 외국산 품종에 비하 여 최고가는 낮았지만 평균가는 높았고, 최저가는 훨씬 높았다. 결론적으로 aT화훼공판장 거래가를 기준으로 국산 품종이 외국산 품종과 비교할 때 품질이 양호하였음을 알 수 있었다.

The growth and employment effects of R&D investment were analyzed according to business size, export value and manufacturing sectors so as to suggest improvement directions for effective industry policies. The effect of R&D investment was considered simultaneously from the two perspectives of growth and employment effect, and the causality analysis was carried out by using a path analysis. The result of the path analysis confirmed significant differences in the growth effect of R&D investment depending on business size. However, the effect of increasing employment was difficult to obtain statistically significant results for any various combinations of business size and export value. This is a mixture of directions for the effects of R&D investment on employment, which could be due to the failure to consider appropriate time lags between investment and effect. Efficiency analysis by industry sectors confirmed significant differences in efficiency depending on business size, but differences depending on export value were difficult to identify. In order to derive improvement policy by industry sector according to business size and export value, the direction of selective support policy and universal support policy was derived for six industry groups by combining the return to scale in the efficiency analysis and R&D concentration. Hirschman-Herfindahl index is used for calculating R&D concentration.

The process control methods based on the statistical analysis apply the analysis method or mathematical model under the assumption that the process characteristic is normally distributed. However, the distribution of data collected by the automatic measurement system in real time is often not followed by normal distribution. As the statistical analysis tools, the process capability index (PCI) has been used a lot as a measure of process capability analysis in the production site. However, PCI has been usually used without checking the normality test for the process data. Even though the normality assumption is violated, if the analysis method under the assumption of the normal distribution is performed, this will be an incorrect result and take a wrong action. When the normality assumption is violated, we can transform the non-normal data into the normal data by using an appropriate normal transformation method. There are various methods of the normal transformation. In this paper, we consider the Box-Cox transformation among them. Hence, the purpose of the study is to expand the analysis method for the multivariate process capability index using Box-Cox transformation. This study proposes the multivariate process capability index to be able to use according to both methodologies whether data is normally distributed or not. Through the computational examples, we compare and discuss the multivariate process capability index between before and after Box-Cox transformation when the process data is not normally distributed.

Network externalities are essentially dynamic in that the value consumers feel about a product is affected by the size of the existing customer base that uses that product. However, existing studies on network externalities analyzed the effects of network externalities in a static way, not dynamic. In this study, unlike previous studies, the impact of network externalities on price competition in a vertically differentiated market is dynamically analyzed. To this end, a two-period duopoly game model was used to reflect the dynamic aspects of network externalities. Based on the game model, the Nash equilibria for price, sales volume, and revenue were derived and numerically analyzed. The results can be summarized as follows. First, if high-end product has strong market power, the high-end product vendor takes almost all benefits of the network externality. Second, when high-end product has strong market power, the low-end product will take over most of the initial sales volume increase. Third, when market power of high-end product is not strong, it can be seen that the effects of network externalities on the high and low-end products are generally proportional to the difference in quality. Lastly, if there exists a strong network externality, it is shown that the presence of low-end product can be more profitable for high-end product vendor. In other words, high-end product vendor has incentive to disclose some technologies for the market entrance of low-end product, even if it has exclusive rights to the technologies. In that case, however, it is shown that the difference in quality should be maintained significantly.