• 마케팅과학연구
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• 제17권3호
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• pp.1-19
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• 2007

본 연구에서는 농촌관광 방문객에게 제공되는 편의시설을 유형화하고 어떤 특징을 가진 방문객이 어떤 편의시설을 선호하는지를 규명하기 위한 방법과 그 분석결과를 제시하였다. 이를 위하여 우선 2단계 군집분석법을 사용하여 농촌관광 편의시설을 유형화하였다. 그 다음으로 군집분석에 사용되는 변인이 범주형 변인이 있을 경우 전통적인 군집분석 방법을 적용할 수 없기 때문에 2단계 군집분석을 하였다. 본 연구는 2단계 군집분석법이 범주형 변인으로 측정된 농촌관광의 편의시설을 유형화하는 데 매우 유용하다는 것을 보여 주고 있다. 다중로짓 모형을 사용하여 특정 편의시설 유형을 선호할 확률에 영향을 미치는 농촌관광 방문자의 사회인구학적 특성과 여행특성을 규명하였다. 즉, 다중로짓 모형을 통해 참조항(일반농가형)으로 설정된 편의시설 유형에 비해 특정 편의시설을 선호할 확률에 영향을 미치는 소비자의 특성을 규명할 수 있다는 것이 본 연구의 특징이다.

• 한국항공우주학회지
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• 제31권10호
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• pp.1-9
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• 2003

컴퓨팅 그리드 환경에서는 컴퓨팅 그리드 시스템을 구성하는 단위 시스템들의 성능이 균일하지 않기 때문에, 영역을 균등하게 분할하는 일반적인 로드밸런싱 기법을 적용하기가 적절하지 않다. 본 연구에서는 그래프 분할기법을 기반으로 하여, 컴퓨팅 그리드 시스템을 구성하는 단위 시스템들의 성능가중치를 계산하여 분할하는 2단계 영역 분할 기법을 제시하였다. 2단계 영역 분할 기법 시 발생하는 통신량의 증가는 그래프 분할기법인 WEVM을 적용하여 최소화 할 수 있었으며, 멀티 클러스터 환경과 WAN에서 타당성과 효율성을 검증해 보았다.

• 한국학교ㆍ지역보건교육학회지
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• 제21권1호
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• pp.75-89
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• 2020

Objects: The purpose of this study was to examine the differences of college students' big-five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Methods: The participants of this study were 190 college students. All variables were evaluated by self-report of college students. The data were analyzed by one-way ANOVA and two-step clustering statistics using SPSS 21.0. Results: First, a cluster analysis on a sample of 190 college students revealed four clusters: the more highly grit group, higher tenacity group, higher consistency of interests, and the less grit group. Second, there were significant differences of 190 college students' big five personality factors, academic adaptation, and psychological well-being according to cluster types based on the grit. Conclusions: These findings can be used as an important contribution to further research and educational practices for promoting the grit in college students. Also it suggests the need for health education to increase the psychological well-being of college students.

• International Journal of Costume and Fashion
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• 제17권1호
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• pp.41-57
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• 2017

The purpose of this research was to develop a typology of fair-trade apparel consumers and present a clear overview of the influence of product knowledge on consumer behaviors. A two-step cluster analysis was used to classify respondents into sub-groups based on their level of self-perceived knowledge and purchase experience. In addition, ANOVA was used to test the predictive validity of the cluster solution. Income was the only demographic variable that significantly differed across groups. The more familiar and more experienced group had higher income than the other groups. Psychographic data showed that attitudes and moral norms varied across groups. The more familiar and more experienced group had more positive attitudes and higher level of moral norms than the less familiar and less experienced group. In terms of behavioristic data, groups differed significantly in purchase intentions and willingness to pay more for fair-trade apparel. That is, the more familiar and more experienced group was willing to pay more and had higher purchase intentions than the less familiar and less experienced group. Overall, the level of product knowledge and purchase experience were considerably low. This study thus confirmed the need to increase consumers' familiarity related to fair-trade apparel products.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제33권2호
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• pp.35-40
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• 2022

Objectives: Restricted and repetitive behaviors (RRBs) are a core symptom in the diagnosis of autism spectrum disorder (ASD). The complexity of behavioral patterns has called for the creation of phenotypically homogeneous subgroups among individuals with ASD. The purpose of this study was 1) to investigate the different types of RRBs and 2) to explore whether subgroups created by RRBs would show unique levels of functioning in toddlers and young children with ASD. Methods: A total of 313 children with ASD, aged 12-42 months were included in the analysis. The Autism Diagnostic Interview-Revised was used to obtain information on the different types of RRBs by grouping 15 items into six categories. The Vineland Adaptive Behaviors Scale, a parent-reported questionnaire, was used to measure adaptive functioning. A portion of the children were analyzed separately for verbal-related RRBs based on their expressive language level. Two-step cluster analysis using RRB groups as features was used to create subgroups. Analysis of covariance while covarying for age and language was performed to explore the clinical characteristics of each cluster group. Results: Sensory-related RRBs were the most prevalent, followed by circumscribed interests, interest in objects, resistance to change, and repetitive body movements. A subset of the children was analyzed separately to explore verbal-related RRBs. Four cluster groups were created based on reported RRBs, with multiple RRBs demonstrating significant delays in adaptive functioning. Conclusion: Heterogeneity of RRBs emerges at a young age. The different patterns of RRBs can be used as valuable information to determine developmental trajectories with better implications for treatment approaches.

• 센서학회지
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• 제24권4호
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• pp.258-263
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• 2015

In order to prevent drink-driving by detecting concentration of alcohol from driver's exhale breath, twenty chemical sensors fabricated. The one of purposes for sensor array which consists of those sensors is to discriminate between target gas(alcohol) and interference gases($CH_3CH_2OH$, CO, NOx, Toluene, and Xylene). Wilks's lambda was presented to achieve above purpose and optimal sensors were selected using the method. In this paper, step-wise sensor elimination based on Euclidean distance was investigated for selecting optimal sensors and compared with a result of Wilks's lambda method. The selectivity and sensitivity of sensor array were used for comparing performance of sensor array as a result of two methods. The data acquired from selected sensor were analyzed by pattern analysis methods, principal component analysis and Sammon's mapping to analyze cluster tendency in the low space (2D). The sensor array by stepwise sensor elimination method had a better sensitivity and selectivity compared to a result of Wilks's lambda method.

• 한국정밀공학회지
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• 제33권8호
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• pp.635-640
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• 2016

The shell body is the main exterior part of a compressor, and production of shell bodies has increased along with a growing demand for air conditioners, refrigerators, air compressors, and so on. Cracks frequently occur in the process of welding a shell body. In this study, a deep drawing process for creating a shell body from a blank is developed. The technique consists of a four-step deep drawing and a two-step trimming process. Analysis is performed by DEFORM software to examine the safety of the deep drawing and trimming processes. The deep drawing process for the shell body developed in this study would have wide application in many industrial fields.

• Korean Journal of Acupuncture
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• 제29권3호
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• pp.431-440
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• 2012

Objectives : Recently, network science is very popular topic in various scientific fields and many studies have reported that it gives meaningful results on studying characteristics of a complex system. In this study, based on network theory, we made acupoints network using data of combined acupoints which appeared at "Beijiqianjinyaofang". We focused to find out the distinctive roles of remote and local combinations on the network. Furthermore, we aimed to identify the possibility of numerical and quantitative application to acupuncture researches. Methods : Based on examples of combined acupoints in "Beijiqianjinyaofang", the network consisted of 291 nodes and 2,431 links. The spatial distances between combined acupoints were calculated by the human dummy model. We removed the links step by step for the three cases - remote, local, and random cases, and observed the characteristic changes by calculating path lengths, similarity indices, and clustering coefficients. Also cluster analysis was carried out. Results : The network had a small number of remote links, and a large number of local links. These two links had the distinct characteristics. Whereas the local links formed a cluster of nearby nodes, remote links played a role to increase the correlation between the clusters. Conclusions : These results suggest that acupoints network increases the connectivity between the distal part and the trunk of human body, and enables various combinations of the acupoints. This finding conclusively showed that mechanism of combined acupoints could be interpreted meaningfully by applying network theory in acupuncture researches.

• 디지털융복합연구
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• 제14권4호
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• pp.459-469
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• 2016

본 연구는 학교폭력 가해 학생의 심리적 특성에 따른 유형을 알아보기 위한 것이다. 이를 위하여 문헌 조사를 통해 6요인(인지충동성, 무계획충동성, 우울, 불안, 또래동조성, 주장성), 19문항의 설문지를 구성하여, 86명의 가해 학생들을 대상으로 설문을 실시하여 최종 74명의 자료로 2단계 군집분석을 실시하였다. 분석 결과, 3개의 군집으로 구분되었으며 각각 '충동적 취약성 유형(군집1)', '정서적 취약성 유형(군집2)', 그리고 '사회적 취약성 유형(군집3)'으로 명명하였다. 각 군집의 특성은 첫째, 군집1은 다른 집단에 비해서 인지충동성과 무계획충동성의 점수는 높은 반면, 우울과 불안 점수는 낮았다. 둘째, 군집2는 다른 집단에 비해서 우울과 불안 점수는 높은 반면, 인지충동성과 무계획충동성 점수는 낮았다. 셋째, 군집3은 다른 집단에 비해서 또래동조성 점수는 가장 높았으며 동시에 주장성 점수는 가장 낮은 반면, 인지충동성과 무계획충동성, 우울과 불안은 낮았다. 본 연구 결과는 현장에서 가해학생들을 지도하고 상담하는 교사들 및 상담자들과 보호자에게 가해학생들의 심리적인 특성을 이해하고 개입할 수 있는 유용한 기초 자료가 될 것이다.

• Journal of Korean Neurosurgical Society
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• 제48권6호
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• pp.506-517
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• 2010

Objective : We investigated whether Disability Evaluation (DE) situations influence patients' neuropsychological test performances and psychopathological characteristics and which variable play a role to establish an explanation model using statistical analysis. Methods : Patients were 536 (56.6%) brain-injured persons who met inclusion and exclusion criteria, classified into the DE group (DE; n = 300, 56.0%) and the non-DE group (NDE; n = 236, 44.0%) according to the neuropsychological testing's purpose. Next, we classified DE subjects into DE cluster 1 (DEC1; 91, 17.0%), DE cluster 2 (DEC2; 125; 23.3%), and DE cluster 3 (DEC3; 84, 15.7%) via two-step cluster analysis, to specify DE characteristics. All patients completed the K-WAIS, K-MAS, K-BNT, SCL-90-R, and MMPI. Results : In comparisons between DE and NDE, the DE group showed lower intelligence quotients and more severe psychopathologic symptoms, as evaluated by the SCL-90-R and MMPI, than the NDE group did. When comparing the intelligence among the DE groups and NDE group, DEC1 group performed worst on intelligence and memory and had most severe psychopathologic symptoms than the NDE group did. The DEC2 group showed modest performance increase over the DEC1 and DEC3, similar to the NDE group. Paradoxically, the DEC3 group performed better than the NDE group did on all variables. Conclusion : The DE group showed minimal "faking bad" patterns. When we divided the DE group into three groups, the DEC1 group showed typical malingering patterns, the DEC2 group showed passive malingering patterns, and the DEC3 group suggested denial of symptoms and resistance to treatment.