• Title/Summary/Keyword: Multi-Dimensional Scaling

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Fixed-point optimization utility for digital signal processing programs (디지탈 신호처리용 고정 소수점 최적화 유틸리티)

  • 김시현;성원용
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.9
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    • pp.33-42
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    • 1997
  • Fixed-point optimization utility software that can aid scaling and wordlength determination of digital signal processign algorithms written in C or C$\^$++/ language is developed. This utility consists of two programs: the range estimator and the fixed-point simulator. The former estimates the ranges of floating-point variables for automatic scaling purpose, and the latter translates floating-point programs into fixed-point equivalents for evaluating te fixed-point performance by simulation. By exploiting the operator overloading characteristics of C$\^$++/ language, the range estimation and the fixed-point simulation can be conducted just by modifying the variable declaration of the original program. This utility is easily applicable to nearly all types of digital signal processing programs including non-linear, time-varying, multi-rate, and multi-dimensional signal processing algorithms. In addition, this software can be used for comparing the fixed-point characteristics of different implementation architectures.

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Enhancing the corporate image through social media: An approach based on multi-dimensional scaling (다차원척도법에 의한 기업이미지 제고를 위한 소셜미디어 활용방안)

  • Kim, Suhyun;Lee, Hanjun;Suh, Yongmoo;Han, Jinyoung
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.3
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    • pp.427-436
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    • 2013
  • Social media is drawing attention among companies for its potential as a marketing tool. There are many types of social media and their characteristics are varied, and thus choosing the appropriate social media considering the purpose of the company is important. In this paper, we conduct comparative analysis on the popular social media such as Facebook, Twitter, Naver blog, Youtube, Cyworld and Me2day using multidimensional scaling method. The result shows that there are differences in the effectiveness of enhancing diverse dimensions of corporate image among social media. This result can be used in developing social media based marketing strategy.

Multi-Dimension Scaling as an exploratory tool in the analysis of an immersed membrane bioreactor

  • Bick, A.;Yang, F.;Shandalov, S.;Raveh, A.;Oron, G.
    • 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.

A Case Study on the Spatial Composition of the staffs at Nursing Homes for the Elderly with Dementia according to Ideal Distance between spaces - Focused on $K\;\cdot\;Y$ Nursing Home in Tokyo, Japan - (공간간의 이상적 거리를 통한 치매노인시설 직원의 공간구성 요구에 대한 사례 연구 - 일본 동경소재 노인전문 요양시설$K\;\cdot\;Y$시설을 대상으로 -)

  • Yoon Young-Sun;Byun Hea-Ryung
    • 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.

Determination of Installation Priority of Washlands Using Multi-Dimensional Scaling Method (다차원척도법을 이용한 강변저류지 설치 우선순위 선정)

  • Ahn, Tae-Jin;Kim, Do-Hyeon;Baek, Chun-Woo
    • Journal of Korea Water Resources Association
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    • v.44 no.7
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    • pp.565-576
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    • 2011
  • Within a basin, there are potentially multiple locations that can be used as a washland, given their relatively small size when compared with other hydraulic facilities such a dam. However, it is unreasonable to install washlands in all these potential locations due to economic and environmental considerations. In this study, a new methodology for determination of installation priority of washlands is presented. How to integrate the decision variables in this decision making problem has been a key issue in previous studies because a washland can provide many benefits such as flood reduction, agricultural benefit and recreational benefit. In particular, a methodology is needed to integrate all decision variables realistically, properly and reasonably, in situations where there is not sufficient data for direct integration of all these decision variables such as construction cost or benefits a washland can provide. This new methodology aims to suggest how to integrate methodologies used in previous studies. The suggested methodology uses four different rankings which are determined based on a flood reduction effect, a relative significance index, an economic analysis, and a space planning suitability index. These rankings are integrated to determine a final installation priority ranking of washlands by a multi-dimensional scaling method. The new methodology has been applied to the Anseong river basin, to show its applicability, and the application result compared with those of previous studies.

A Study on the Cognition Distance of Separately Shelved Items by Multi-dimensional Scaling Analysis in Children's Libraries (다차원척도법을 이용한 어린이도서관 별치 자료에 대한 인지 거리 연구)

  • Kim, Hyoyoon;Cho, Jane
    • Journal of the Korean Society for information Management
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    • v.34 no.1
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    • pp.51-71
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    • 2017
  • This study conducted a survey to measure recognition distance between the materials which are located separately in a children's library targeting 200 elementary school lower grade students, higher grade students, and school parents(adults). And compared recognition distance between the elements of materials of individual visitor group with multidimensional scaling and K-mean group analysis. Multidimensional Scaling (MDS) is a technique for projecting the cognitive state in space by evaluating the similarity or attribute of the analysis target. Even though it is mainly used for market diagnosis in marketing, It can also be applied to present an ideal physical layout plan by analyzing the distance. As a result of analysis, the main discoveries are as follows. First, elementary school students cognize child, baby and computer materials should be adjacent as a same group. But recognition of adults(school parents) is reflected by differing from elementary school students vastly. They cognize that computer materials should be formed as a special group separated from child and baby's materials. Second, elementary school higher graders and adults(school parents) groups also want to separate their main reading materials from baby's book, therefore They both want to secure silent reading space separating from baby. Third, as a result to confirming how this recognition distance system of materials is reflected in a real children's library through three children's libraries in Y-gu, Incheon, there is no library with structure according perfectly with a recognition system of a particular class, but a recognition system of adults and elementary school students is partially reflected because baby, child and computer materials, and baby and child materials are commonly separated and placed. It is difficult to insist that a recognition system of a visitor group, especially a recognition system of children is absolute consideration conditions in material placement of a children's library. However, understanding cognition of the user groups can be an important evidentiary factors to offer differentiated service space according to visitors and effective placement of the elements of library resources.

A study on the typology of the medical claims review in terms of hospital department (진료과목 관련성을 중심으로 분석한 의학적클레임검토 유형론에 관한 연구)

  • Lee, Sin-Hyung
    • The Journal of the Korean life insurance medical association
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    • v.27 no.1
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    • pp.33-36
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    • 2008
  • BACKGROUND : The medical claims review(MCR) is unique methodology of medical consultation in terms of insurance claim administration in Korean insurance market. The most important practical matter in the MCR is formatted question. In Korea, medical specialty is composed of 26 legally defined hospital departments. It is worth of studying to investigate type of MCR by hospital departments. METHODS : Fifty Cases of the MCR were selected randomly by statistical program SPSS among 1,032 cases which were performed between April 1, 2006 and March 31 2007. All of selected cases were evaluated one insurance doctor and made a score points from 0 to 10 in terms of hospital department. RESULTS : Multidimensional scaling was performed. The MCR types - diagnosis, malignancy and cause of death are located in the same 2-dimensional configuration area. It can be called as verification of benefit. Others are advice. - such as causality, interpretation, translation, independent medical examination, and so on. DISCUSSION : We can conclude the classification of MCR typology are two main subjects, verification and advice. Theses results are same as previous article which was based on experience.

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A study on the User Satisfaction of Travel behavior (관광지 선택행동에 따른 만족도에 관한 연구)

  • 박신자
    • Journal of Applied Tourism Food and Beverage Management and Research
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    • v.10
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    • pp.139-158
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    • 1999
  • This study is concerned with analysis of user satisfaction for travel behavior. It is aimed at investigating the socioeconomic characteristics, motivation, and use pattern of the visitors at tour. For tourists' perception and preference analysis, multi-dimensional scaling was used. It is left that this type of marketing analysis of tourism and travel offers great potentional for those concerned with the developement and management of tourist vacation areas. First, the study demanstrated clearly that different tourist and portential visitors to a tourist area seek different benefit bundles from their vacation in a particular tourist areas. Second, it demonstrated that a benefit segmentation approach to tourism and travel would be the most effective that the demographic segmentation approach usually pursued in the tourism and travel industry. Form a methodological viewpoint, it has demonstrated an application of multidimensional scaling techniques to marketing in an important industry.

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A study on automatic wear debris recognition by using particle feature extraction (입자 유형별 형상추출에 의한 마모입자 자동인식에 관한 연구)

  • ;;;Grigoriev, A.Y.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 1998.04a
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    • pp.314-320
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    • 1998
  • Wear debris morphology is closely related to the wear mode and mechanism occured. Image recognition of wear debris is, therefore, a powerful tool in wear monitoring. But it has usually required expert's experience and the results could be too subjective. Development of automatic tools for wear debris recognition is needed to solve this problem. In this work, an algorithm for automatic wear debris recognition was suggested and implemented by PC base software. The presented method defined a characteristic 3-dimensional feature space where typical types of wear debris were separately located by the knowledge-based system and compared the similarity of object wear debris concerned. The 3-dimensional feature space was obtained from multiple feature vectors by using a multi-dimensional scaling technique. The results showed that the presented automatic wear debris recognition was satisfactory in many cases application.

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A Study on Automatic wear Debris Recognition by using Particle Feature Extraction (입자 유형별 형상추출에 의한 마모입자 자동인식에 관한 연구)

  • ;;;A. Y. Grigoriev
    • Tribology and Lubricants
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    • v.15 no.2
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    • pp.206-211
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    • 1999
  • Wear debris morphology is closely related to the wear mode and mechanism occured. Image recognition of wear debris is, therefore, a powerful tool in wear monitoring. But it has usually required expert's experience and the results could be too subjective. Development of automatic tools for wear debris recognition is needed to solve this problem. In this work, an algorithm for automatic wear debris recognition was suggested and implemented by PC base software. The presented method defined a characteristic 3-dimensional feature space where typical types of wear debris were separately located by the knowledge-based system and compared the similarity of object wear debris concerned. The 3-dimensional feature space was obtained from multiple feature vectors by using a multi-dimensional scaling technique. The results showed that the presented automatic wear debris recognition was satisfactory in many cases application.