• Proceedings of the Korean Society for Information Management Conference
• /
• 2010.08a
• /
• pp.3-6
• /
• 2010

연구동향 분석이나 연구영역 분석에서 널리 사용되고 있는 다차원척도법은 표현할 개체의 수가 많을 경우에 군집분석 결과와 잘 결합되지 못하는 단점이 있다. 이를 해결하기 위해서 군집분석과 다차원척도법을 결합하는 새로운 방법을 제안하고 실제 사례에 적용해보았다.

• Proceedings of the Korean Nuclear Society Conference
• /
• 2005.10a
• /
• pp.59-60
• /
• 2005

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.2
• /
• pp.409-418
• /
• 2015

With the development of mobile devices and Internet, information exchange has actively been made through SNS and Blogs. Blogs are widely used as a space where people share their experience after their visit to tourist attractions. We propose a method of recommending associated tourist attractions based on tourists' opinions using issue analysis, association analysis, and sentimental analysis for various online reviews including news in order to help to develop tour products and policies. The result shows that north area of Chungbuk province has been selected as issue attractions, and associated attractions/keywards have been identified for given well-known attraction. Positive/negative opinion for review texts has been analyzed and user can grasp the reason for the sentiments. Multidimensional analysis technique has been integrated to derive additional sophisticated insights and various policy proposal for smart tourism.

• Bulletin of the Korean Chemical Society
• /
• v.33 no.10
• /
• pp.3298-3302
• /
• 2012

Although offline enrichment of phosphorylated peptides is widely used, enrichment for phosphopeptides using $TiO_2$ is often performed manually, which is labor-intensive and can lead to irreproducible results. To address the problems associated with offline enrichment and to improve the effectiveness of phosphopeptide detection, we developed an automated online enrichment system for phosphopeptide analysis. A standard protein mixture comprising BSA, fetuin, crystalline, ${\alpha}$-casein and ${\beta}$-casein, and ovalbumin was assessed using our new system. Our multidimensional system has four main parts: a sample pump, a 20-mm $TiO_2$-based column, a weak anion-exchange, and a strong cation-exchange (2:1 WAX:SCX) separation column with LC/MS. Phosphorylated peptides were successfully detected using the $TiO_2$-based online system with little interference from nonphosphorylated peptides. Our results confirmed that our online enrichment system is a simple and efficient method for detecting phosphorylated peptides.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.8
• /
• pp.3689-3696
• /
• 2011

In decision support system, knowledge workers require aggregation operations of the large data and are more interested in the trend analysis rather than in the punctual analysis. Therefore, it is necessary to provide fast approximate answers rather than exact answers, and to research approximate query answering techniques. In this paper, we propose a new approximation query answering method which is based on Fuzzy C-means clustering (FCM) method and Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed method using FCM-ANFIS can compute aggregate queries without accessing massive multidimensional data cube by producing the KR model of multidimensional data cube. In our experiments, we show that our method using the KR model outperforms the NMF method.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.7 no.2
• /
• pp.21-30
• /
• 2019

Purpose - In this work, we categorize the 21 shopping items which foreign tourists purchase in South Korea and monitor the level of dissimilarity (or similarity) between each item by utilizing distance matrix, and both hierarchical and k-means cluster analyses, respectively, based on several purpose of visit attributes in 2017. In addition, multidimensional scaling (MDS) method is applied for mining visual appearance of proximities among shopping items based on purpose of visit attributes. Research design and methodology - This study is carried out in 2017 by Ministry of Culture, Sports and Tourism and conduct a face-to-face survey of foreign tourists from 20 countries who purchase shopping items in South Korea. CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0 are used to perform this work. Results - We ascertain that 21 shopping items can be classified into five similar groups which have homogeneous traits by going through two-step cluster analysis. We can position homogeneous places of cluster and shopping items joining each cluster. Conclusions - We can relatively assess patterns and characteristics of each shopping item, come by useful information in activating shopping tour based on the actual state of recognition of foreign tourists and practically apply to each tourism industry on underlying results.

• Journal of the Korean Society for information Management
• /
• v.23 no.4 s.62
• /
• pp.215-231
• /
• 2006

Recently there are many bibliometric studies attempting to utilize Pathfinder networks(PFNets) for examining and analyzing the intellectual structure of a scholarly field. Pathfinder network scaling has many advantages over traditional multidimensional scaling, including its ability to represent local details as well as global intellectual structure. However there are some limitations in PFNets including very high time complexity. And Pathfinder network scaling cannot be combined with cluster analysis, which has been combined well with traditional multidimensional scaling method. In this paper, a new method named as Parallel Nearest Neighbor Clustering (PNNC) are proposed for complementing those weak points of PFNets. Comparing the clustering performance with traditional hierarchical agglomerative clustering methods shows that PNNC is not only a complement to PFNets but also a fast and powerful clustering method for organizing informations.

• Applied Chemistry for Engineering
• /
• v.18 no.4
• /
• pp.366-370
• /
• 2007

New product development requires information on customers' emotions such as vision, auditory, olfactory, gustatory, or tactile perceptions. In this study, tactile sense which has not been well studied compared to other senses, was measured and statistically analysed for different surface roughnesses of plastic samples. The emotional responses of 37 pairs of positive and negative adjectives describing tactile senses were collected and analysed through the questionnaire to find the correlation between adjectives and surface roughness. Frequency of the first preference for each adjective on four different roughness is obtained, and used for the statistical studies such as factor analysis, multidimensional scaling, or clustering.

• Korean Journal of Ecology and Environment
• /
• v.53 no.1
• /
• pp.22-30
• /
• 2020

In this study, we investigated the relationships between benthic macroinvertebrate assemblages and various environmental factors in Iancheon (NIA) and Bukcheon (NBC) streams, Korea. We collected benthic macroinvertebrates and 33 environmental factors in April 2017 at 9 sites (5 sites in NIA and 4 sites in NBC). We identified 93 species(5 phyla, 9 classes, 16 orders, and 53 families) and 69 species(5 phyla, 9 classes, 17 orders, and 47 families) in NIA and NBC streams, respectively. Considering benthic macroinvertebrate index (BMI), NIA (88.2) and NBC (80.2) streams were in "very good" status. Upstream areas showed the highest scores, 95.5 (NIA1) and 94.2 (NBC1), whereas BMI score was the lowest in downstream areas of both streams, especially in NBC4 (51.0 "bad" status). Cluster analysis and non-metric multidimensional scaling analysis represented the differences of benthic macroinvertebrate assemblages according to spatial and anthropogenic gradients. Our findings provide reference data and highlight the need for the continued monitoring to maintain the good status and manage macroinvertebrate diversity in these two streams, in Sangju-si, Korea.

• Journal of Fashion Business
• /
• v.7 no.4
• /
• pp.43-56
• /
• 2003

The main purpose of this study was to investigate the difference of perceptional degree of imported make-up cosmetics brand and importance of brand image attributes, and the evaluation of brand image attributes of imported make-up cosmetics according to fashion involvement and to provide positioning the imported make-up cosmetics brands according to brand image attributes. Survey was conducted to 301 people from age 20 to 30 year female woman who is leaving in Seoul and Kyunggee Inchon using convenience editing. Material analyzing was done using t-test, factor analysis, cluster analysis, multidimensional scaling. The results were as follows. 1. The perceptional degree of brand and the importance brand image attributes showed significant difference according to fashion involvement. 2. The evaluation of brand image attributes of imported make-up cosmetics were different between high involvement group and low involvement group. 3. As a result of multidimensional scaling, the imported make-up cosmetics brands were positioned different according to brand image attributes between high involvement group and low involvement group.