• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.11a
• /
• pp.989-1018
• /
• 2017

본 연구에서는 내 외부 환경, 혁신활동이 기업성과에 어떠한 영향을 미치는지를 파악하기 위해 탐색적 요인분석(Exploratory Factor Analysis), 군집분석(Cluster Analysis), 구조방정식모형(Structural Equation Modeling)을 이용하여 실증분석을 실시하였다. 탐색적 요인분석을 통해 7개의 요인이 추출하였으며, 추출된 요인을 기반으로 군집분석을 시도하였더니 총 4개의 군집(n=1,022)이 형성되었다. 군집 4개의 대해 구조방정식 모형을 활용하여 실증분석을 한 결과, 기술 경쟁 환경에 민감하며, 혁신적인 성향을 가진 군집1은 자체기술개발만이 기업성과에 긍정적 영향을 미치는 것으로 나타났다. 시장 환경에 민감하며, 내향적인 성향을 가진 군집2는 자체기술개발과 공동연구를 통해서만 기업성과에 긍정적 영향을 미치는 것으로 나타났다. 경쟁적인 환경에 민감하며, 혁신적이고 정부/관련기관과의 협력적 성향을 가진 군집3은 공동연구 그리고 매개변수인 정부지원프로그램 활용을 통해 기업성과에 긍정적 영향을 미치는 것으로 나타났으며, 기술도입은 기업성과에 부정적 영향을 미치는 것으로 나타났다. 개방적이고 외부협력적 성향이 강한 군집4는 자체기술개발과 매개변수인 네트워크 활용 및 정부지원프로그램 활용이 기업성과에 긍정적 영향을 미치는 것으로 나타났다.

• Journal of the Korean Applied Science and Technology
• /
• v.37 no.5
• /
• pp.1418-1429
• /
• 2020

This study was conducted on men and women in their teens and 50s living in Seoul, Incheon and Gyeonggi-do to find out the relevance between demographic characteristics of lifestyle clusters and the characteristics of beauty salon use. To analyze the data of a total of 522 people collected, statistical processing was performed with analysis of frequency, analysis of factor, analysis of reliability, analysis of cluster, analysis of variance and analysis of cross. As a result, lifestyle group types were classified as fashion and social focus types, family-oriented types, and family-free types. These types were highly related to age, final education, and marital status among demographic characteristics, and were also found to be highly relevant to the characteristics of beauty salon use, such as beauty salon location and frequently used beauty services. The results of this study are thought to be the basic data that can be used for beauty salon marketing.

• The Journal of Korean Association of Computer Education
• /
• v.23 no.1
• /
• pp.77-90
• /
• 2020

The purpose of the study is to provide educational implications for more effective Problem-based learning(PBL) by investigating students' learning types based on their online learning behaviors. A total of 1,341 students participated in the study, and they engaged in a six-week-long PBL program run by K University. For the study, participants' online activity data were collected. From the data, a total of 48 variables that represent their various online learning behaviors were extracted. Based on the variables, hierarchical cluster analysis was conducted to analyze learning types. Also, the differences in learning characteristics and achievements were investigated by considering types of learning. As a result, the learning types in online PBL were classified as 'high-level participation (cluster 1)', 'medium-level participation (cluster 2)', and 'low-level participation (cluster 3)'. In addition, the achievement level was found to be highest in 'high-level participation (cluster 1)' and lowest in 'low-level participation (cluster 3)'. Based on the results, the implications for improving online PBL were suggested.

• Korean Journal of Environment and Ecology
• /
• v.12 no.2
• /
• pp.119-130
• /
• 1998

The purposes of this study were to investigate vegetation structure and to present management plan of mountain type green space in Kangwhado, Inchon. The actual vegetation in survey sites(11,331ha) was divided into 19 community types. It was consisted of secondary forest(92.32%) which was Quercus acutissima, Pinus densiflora-Q. acutissima, and Q. mongolica community so on. Artificial planting forest area, such as Robinia pseudoacacia and Pinus rigida forest and others, was 5.40%(612ha) and it was less than cases in other cities in the Metropolitan area. According to the classification by TWINSPAN, 57 survey plots were divided into seven community types; P rigida(community A), Q. acutissima(community B) P. densiflora-Q. acutissima(community C), Q. acutissima-P. densiflora (community D), P. densiflora-Carpinus laxiflora-Q. serrata-Q. acutissima(community E), Q. serrata-Q. mongolica(community F), and Zelkova serrata-Acer mono(community G). From this result, ecological succession trend of vegetation in this area seems to be change from P. densiflora forest through Q. acutissima forest to Q. mongolica, Q. serrata, and C. laxiflora forest. It was similar to the ordinary successional trend of temperate deciduous forest in middle area, Korea. In addition, this study area was showed acid soil(pH 4.17). Therefore, there is a need for managing the soil environment for effective vegetation management.

• Journal of Wetlands Research
• /
• v.16 no.3
• /
• pp.303-313
• /
• 2014

The spatial distribution characteristic of fish community were investigated at the 10 habitat types in the Nonsan stream from August, 2008 to June, 2009. The collected species during the surveyed period were 26 species belong to 6 families. Korean endemic species were Sarcocheilichthys nigripinnis morii, Squalidus japonicus coreanus, Hemiculter eigenmanni, Pseudobagrus koreanus, and Odontobutis interrupta which showed 19.2% ratio of total species. Dominant species was Zacco platypus, and subdominant species was Tridentiger brevispinis. Dominant species according to habitat types were Micropterus salmoides(substrate type pool and rock type pool), Lepomis macrochirus(channel connected pool and channel unconnected pool/abandoned type pool), T. brevispinis(channel unconnected pool/overflow type and run) and Z. platypus(riffle, meander type pool, side channel, and dam type pool). As a results of community analysis in side channel, diversity index showed relatively high values, indicating that habitat types in the Nonsan stream have relatively stable community structure. Bray-curtis cluster analysis indicated that the meander type pool and riffle showed the most similar values(80.8%). Moreover, cluster and principal component analysis were classified as 2 groups(lotic and lentic habitats).

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.05a
• /
• pp.217-220
• /
• 2003

본 논문에서는 특정 매개변수의 입력 없이 속성(attribute)에 따른 목적속성(class)값의 분포를 고려하여 연속형(conti-nuous) 값을 범주형(categorical)의 형태로 변환시키는 새로운 방법을 제안하였다. 각각의 속성에 대해 목적속성의 분포를 1차원 공간에 사상(mapping)하고, 각 목적속성의 밀도, 다른 목적속성과의 중복 정도 등의 기준에 따라 구간을 군집화 한다. 이렇게 생성된 군집들은 각각 목적속성을 예측할 수 있는 확률적 수치에 기반한 것으로, 각 속성이 제공하는 정보의 손실을 최소화하는 이산화 경계선을 갖고 있다. 제안된 데이터 이산화 방법의 향상된 성능은 C4.5 알고리즘과 UCI Machine Learning Data Repository 데이터를 사용하여 확인할 수 있다.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.39 no.1
• /
• pp.146-153
• /
• 2010

The objectives of this study were to explore food-related lifestyle segments of the older consumers, to identify its socio-demographic characteristics, and to investigate the differences in variables regarding health beliefs. A survey was conducted of adults 55 years of age and older living in Seoul, South Korea from March 28 to April 10, 2007. Out of the 500 distributed questionnaires, 361 were retained for final analysis: a response rate of 72.2%. As a result of cluster analysis, five consumer segments were identified; health-managing group, diet-unconcerned group, convenience-oriented group, taste-oriented group, unpracticed group. Significant differences were found among the five segments in terms of socio-demographic characteristics and variables regarding health beliefs (i.e., perceived self-efficacy, perceived barriers, perceived benefits). In the health-managing group and taste-oriented group, mean scores of perceived self-efficacy (p<0.001) and perceived benefits (p<0.001) were significantly higher than other groups. However, in the diet-unconcerned group and convenience-oriented group, the mean scores of perceived barriers (p<0.01) were significantly high. This study shows that foodservice operators targeting the older consumers should consider characteristics of each segment to develop a customized program.

• The Korean Journal of Applied Statistics
• /
• v.33 no.6
• /
• pp.683-696
• /
• 2020

The aim of this research is to find an optimal gene set that provides highly accurate multi-class classification with a minimum number of genes. A two-stage procedure is proposed: Based on minimum redundancy and maximum relevance (mRMR) framework, several statistics to rank differential expression genes and K-means clustering to reduce redundancy between genes are used for data filtering procedure. And a particle swarm optimization is modified to select a small subset of informative genes. Two well known multi-class microarray data sets, ALL and SRBCT, are analyzed to indicate the effectiveness of this hybrid method.

• Korean Journal of Microbiology
• /
• v.35 no.1
• /
• pp.65-71
• /
• 1999

This study was carried out utilzing ability of sole carbon sources in soil microbial communities used by Biolog GN microplate. Cluster analysis showed that soil microbial cornmuties were categorized into three groups as forest, non-forest soil and naked soil of microbial group. Soil microbial commutites in a forest soil of Qirercus mongoIica was divided into another group microbial communites in Qirercus dendata vegetation soil and Pinus dnzsqlora vegetation soil by Multidimensional scaling(MDS). Generally, sole carbon utilzing abilties were higher in order of polymer, amino acids and carboxylic acids, but it was lower in amides substrates carbon group. From the result: it was supposed that metabolic diversity of microbial communities was corresponded to vegetation succession.

• Annual Conference on Human and Language Technology
• /
• 2015.10a
• /
• pp.240-245
• /
• 2015

일반영역 음성인식은 n-gram 희소성 문제로 인해 대용량의 언어모델이 필요하다. 대용량 언어모델은 분산형 모델로 구현될 수 있고, 사용자 입력에 대한 동적 언어모델 보간 기술을 통해 음성인식 성능을 개선할 수 있다. 본 논문은 동적 언어모델 보간 기술에 대한 새로운 접근방법을 시도한다. 텍스트 군집화를 통해 주제별 언어모델을 생성한다. 여기서 주제는 사용자 입력 영역에 대응한다. 본 논문은 사용자 입력에 대하여 실시간으로 주제별 언어모델의 보간 가중치 값을 계산하는 접근 방법을 제시한다. 또한 언어모델의 보간 가중치 값 계산의 부담을 감소하기 위해 언어모델 군집화를 통해 대용량 언어모델 보간 접근 방법의 연산 부담을 해소하기 위한 시도를 한다. 주제별 언어모델에 기반하고 언어모델 군집화를 통한 동적 언어모델 보간 기술의 실험 결과 음성인식 오류 감소율 6.89%를 달성했다. 또한 언어모델 군집화 기술은 음성인식 정확도를 0.09% 저하시켰을 때 실행 시간을 17.6% 개선시키는 실험결과를 보였다.