• Journal of the Korean Data and Information Science Society
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• v.14 no.2
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• pp.237-245
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• 2003

MDS(multi-dimensional scaling) for preference data is a graphical tool which usually figures out how consumers recognize, evaluate certain products. This article is mainly concerned with an optimal scaling for MDS when target configuration is available. Rotation of axis and SUR(seemingly unrelated regression) methods are employed to get a new configuration which is obtained as close to the target as we can. Methodologies developed here are also illustrated via a real data set.

• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.433-438
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• 2007

This paper presents a distance mapping-based localization method with incomplete data which means partially observed data. We make three contributions. First, we propose the use of Multi Dimensional Scaling (MDS) for multi-robot localization. Second, we formulate the problem to accomodate partial observations common in multi-robot settings. We solve the resulting optimization problem using #Scaling by Majorizing a Complicated function (SMACOF)#, a popular algorithm fur iterative MDS. Third, we not only verify the performance of MDS-based multi-robot localization by computer simulations, but also implement a real world localization of multi-robot team. Using extensive empirical results, we show that the accuracy of the proposed method is almost similar to that of Monte Carlo Localization(MCL).

• Membrane and Water Treatment
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• v.2 no.2
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• pp.105-119
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• 2011

This study presents the tests of an Immersed Membrane BioReactor (IMBR) equipped with a draft tube and focuses on the influence of hydrodynamic conditions on membrane fouling in a pilot-scale using a hollow fiber membrane module of ZW-10 under ambient conditions. In this system, the cross-flow velocities across the membrane surface were induced by a cylindrical draft-tube. The relationship between cross-flow velocity and aeration strength and the influence of the cross-flow on fouling rate (under various hydrodynamic conditions) were investigated using Multi-Dimension Scaling (MDS) analysis. MDS technique is especially suitable for samples with many variables and has relatively few observations, as the data about Membrane Bio-Reactor (MBR) often is. Observations and variables are analyzed simultaneously. According to the results, a specialized form of MDS, CoPlot enables presentation of the results in a two dimensional space and when plotting variables ratio (output/input) rather than original data the efficient units can be visualized clearly. The results indicate that: (i) aeration plays an important role in IMBR performance; (ii) implementing the MDS approach with reference to the variables ratio is consequently useful to characterize performance changes for data classification.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.1
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• pp.333-340
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• 2014

We analyzed pedestrian preference and features of preferential space by MDS (Multi Dimensional Scaling). As the result, features of pedestrian space in dimension 1 could be interpreted as "Segregation of Pedestrian and Vehicle", and features of pedestrian space in dimension 2 could be read like "Natural-City". And as a result of vector analysis about preferential of pedestrian, a pedestrian mall between housing complex, pedestrian space in pocket park, pedestrian space in neighborhood park, and pedestrian space around public facilities was the best preferential space. On the other hand, pedestrians tended to dislike pedestrian space between detached.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.165-176
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• 2018

With the development of information and communication technology, the possibility of utilizing 3D virtual reality in education has been sought. Especially, the screen composition in the virtual reality has the possibility of inducing the emotion of the user which may affect the learning. However, there is little research on what aspects of the screen can cause emotions. The purpose of this study is to analyze the user's perception of screen components inducing emotion in virtual reality learning environment. Using Multi Dimensional Scaling (MDS), the user's perception of the main screen in a representative virtual reality learning environment platform was investigated. As a result, the dimension of depth on the screen and the dynamics of the avatar related to the movement were confirmed. This study is meaningful to explore technical variables that can induce emotions among screen elements in virtual reality contents.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.60-83
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• 2014

This paper aims to propose a research framework of analyzing voting activities of a national assembly on the basis of member-level voting similarity and provides a case study in the $18^{th}$ national assembly in South Korea. First, we propose a bill contentiousness measure that gives a higher score to bills for which ayes and noes are more diversified in both conservative and progressive parties. Based on the bill contentiousness measure, the top 5%, 10%, and 20% bills were identified and used for further analyses. Moreover, we propose a member-level voting similarity measure that compensates for the lower frequency of noes, and evaluate the pair-wise voting similarities for all lawmakers. Then, voting similarity differences to the affiliated/non-affiliated parties were analyzed for the members in the two major parties according to some internal/external key factors. Finally, similar voting groups were identified and their affiliations were investigated based on the multi-dimensional scaling (MDS) and network analysis techniques. A case study on the $18^{th}$ national assembly of South Korea showed that the cohesion of the members in the 'Hanara' party becomes higher than that of the 'Minju' party as the bill contentiousness increases, whereas the number of elected, local constituency versus proportional representation, and the competition intensity in a local constituency were found to be partially influential to the voting activities of lawmakers. In addition, MDS and network analysis showed that there is a distinctive difference between two parties when all bills are analyzed, whereas the diversity of parties increases in the same group as the bill contentiousness increases.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.4
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• pp.187-191
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• 2012

In these days, there are huge increases of concerning underwater acoustic sensor networks (UWASNs) to explore marine resources and to monitor climate change. To collect information from sensor nodes which are randomly deployed in underwater, Multi-Dimensional Scaling (MDS) based locating methods have been recently introduced, which consider sound speed to be constant in underwater. However, underwater sound speed tends to vary depending on underwater environment factors, such as depth, temperature, and salinity. In this paper, we propose a method considering environment factors, can influence upon sound speed in underwater, and introduce experimental setup which can follow up environmental factors.

• Speech Sciences
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• v.8 no.2
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• pp.181-191
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• 2001

The acoustic quality of a vowel is known to be mostly determined by the frequencies of the first formant(Fl) and the second formant(F2). The perceptual(or psychological) dimensions of vowel perception were examined in this study. Also the relationships among perceptual dimensions, acoustical dimensions(Fl & F2), and articulatory gestures of vowel were discussed. Using multi-dimensional scaling(MDS) technique, the experiment was performed in order to identify the perceptual dimensions of the perception of Korean vowel. In the experiment 8 Seoul standard speakers performed the similarity rating task of 10 synthesized Korean vowels. Two-dimensional MDS solution based. on the similarity rating scores was obtained. The results showed that two perceptual dimensions, D1 and D2 were correlated strongly with F2 and F1(r = -.895 and .878 respectively), and were so interpreted as 'vowel advancement' and 'vowel height' respectively. The relationship between the perceptual dimensions of vowel and the articulatory positions of tongue suggested that perception may be directly linked to production. Further research problems were discussed in the .final section.

• Korean Institute of Interior Design Journal
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• v.14 no.5 s.52
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• pp.185-192
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• 2005

The purpose of this study was to clarify spatial composition of the staffs at nursing homes for the elderly with dementia. For this, the data was taken from the staffs in 2 nursing homes in Tokyo by the questionnaire from December4 to 28 in 2004. Replicated MDS (Multi-dimensional Scaling) was employed for data analysis. The results of the study were following. Staffs perceived nursing home by four spatial compositions; facility spaces as like sanitation room, laundry, bathroom, washroom, washbowl, social interaction spaces as like training room, inner court/balcony, living room, staff related spaces as like room for staff, treatment room, fundamental living spaces as like bedroom, dining room. According to two-dimensional perceptual map, sanitation room was wanted near by laundry, treatment room was wanted near by room for staff, bedroom was wanted near by dining room, and training room, living room were wanted near by inner court/balcony. On the other hand, washbowl and washroom were desired somewhere near by every spaces. Therefore, simple shaped washbowls are desired to install in dining room, living room, hallways. And sanitation room and laundry were desired somewhere remote by dining room, bedroom, and living room. Responding upper results, it is recommended planning for visual and sense of smell isolation in case of having difficulty in floor structure and circulation.

• Journal of the Korean Society for information Management
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• v.24 no.4
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• pp.73-96
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• 2007

In this study, the characteristics of scholarly communication through the Web and scientific journals are explored, and scholarly communication patterns in two scientific disciplines are compared to reveal the difference. Economics and Computer Science-Information Systems are selected as two disciplines to be analyzed. In the data collection process, 10 keywords are extracted from a database for each subject field, and scholarly Web pages and journal articles related to these keywords are collected and analyzed. Our investigation includes the characteristics of scholarly Web pages, Multi-Dimensional Scaling (MDS) analysis of co-linked Web pages as well as co-cited journal articles, and changes in the scholarly communication activities occurring on the Web and in scientific journals respectively over time. We found certain differences as well as common features in scholarly communication patterns between the Web and scientific journals for both fields of Economics and Computer Science. We also found that scholarly communication occurring on the Web displays unique features for each subtopic within the same field of study.