• Title/Summary/Keyword: MDS analysis

Search Result 260, Processing Time 0.021 seconds

A Comparison Analysis of Various Approaches to Multidimensional Scaling in Mapping a Knowledge Domain's Intellectual Structure (지적 구조 분석을 위한 MDS 지도 작성 방식의 비교 분석)

  • Lee, Jae-Yun
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.41 no.2
    • /
    • pp.335-357
    • /
    • 2007
  • There has been many studies representing intellectual structures with multidimensional scaling(MDS) However MDS configuration is limited in representing local details and explicit structures. In this paper, we identified two components of MDS mapping approach; one is MDS algorithm and the other is preparation of data matrix. Various combinations of the two components of MDS mapping are compared through some measures of fit. It is revealed that the conventional approach composed of ALSCAL algorithm and Euclidean distance matrix calculated from Pearson's correlation matrix is the worst of the compared MDS mapping approaches. Otherwise the best approach to make MDS map is composed of PROXSCAL algorithm and z-scored Euclidean distance matrix calculated from Pearson's correlation matrix. These results suggest that we could obtain more detailed and explicit map of a knowledge domain through careful considerations on the process of MDS mapping.

A Study on the Analysis Method of City Image : Focusing on the Image Comparison between Cities by MDS (도시 이미지 분석 기법에 관한 연구 : MDS(Multidimensional Scaling)에 의한 도시 간 이미지 비교)

  • 임승빈;최형석;변재상
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.32 no.1
    • /
    • pp.47-56
    • /
    • 2004
  • Rapid economic development in Korea caused functions of city functions such as concentration of population, deterioration of the quality of living environment and traffic congestion. Korean cities have lost their identity becausr they are merged functionally and physically with neighboring cities, forming one mesa-city. Unified shape and disorganized streets of cities often cause confusion among foreigners and visitors. It is very difficult for them to find their image in strange cities. It is, however, important to correctly analyze the image and meaning of cities for understanding its identity. The purpose of this study is to develop a method to analyze the city image by focusing on some of the main cities in Korea. For this purpose, the adjective questionnaire and multi-dimension scaling (MDS) are applied to the analysis of city image. Image analysis graph by MDS can visually present the general and integrate images. The results of this study are summarized as follows: The important factors for interpretation of city image are historical and industrial character. Seoul, Taegu and Pusan have industrial and complex city images. Kongju has historical city image, while Changwon has a modern image. Chuncheon belongs to a soft and small image. Each city has an alternative solution against a negative image, according to the image analysis graph.

An Application of MDS(Multidimensional Scaling) Methods to the Study of Furniture Usage and Behavior in the Living Room (MDS 분석방법을 이용한 거실의 가구사용행태연구)

  • SungHeuiCho
    • Journal of the Korean housing association
    • /
    • v.1 no.2
    • /
    • pp.1-11
    • /
    • 1990
  • A study of domestic furniture arrangements may reveal the living style relevant to the room as conceived and coded by occupants and the effects of the physical environment on the structure of behavior settings. The purpose of this study was to investigate, through analizing the furniture usage and behavior as a non-reactive and activity oriented behavioral measures, the occupants` domestic habits as a living style using MDS. MDS(multidimensional scaling technique) is a statistical technique for creating a spatial representation of data. It Is a particularly appropriate technique for analizing qualitative data such as the furniture usage and behavior because it takes into account all of the relationships between items. For the MDS analysis, the furniture usage and behavior examined by housing types based on 114 households in Seoul. The result of spatial configuration by MDS has three dimensions : recogn;lion of room function, pattern of room organization, understanding of room meaning. The effect of housing types for dimensions is identical but configuration of furniture items is different.

  • PDF

Development of Molecular Diagnostic Innovation System in India: Role of Scientific Institutions

  • Singh, Nidhi
    • Asian Journal of Innovation and Policy
    • /
    • v.11 no.1
    • /
    • pp.87-109
    • /
    • 2022
  • The study attempts to examine the system-building activities of scientific institutions in developing the Molecular Diagnostic (MDs) Innovation System in India. Scientific Institutions are the precursor of any technological development with their capabilities in generating new ideas. MDs are advanced and accurate diagnostic technology with considerable scope to serve the diagnostic needs and requirements of the healthcare system. We adopted a System framework and analyzed the development of MDs in terms of the Technological Innovation System (TIS) functions, and the systematic challenges are assessed through the System Failure Framework (SFF). Based on the secondary and primary survey of prominent science base actors, the study finds that the role of government is crucial for facilitating technological development within a science base through the mobilization of resources. In India, the MDs technological development gained significant momentum over the last decade with the development of specialized human resources and dedicated research institutes. However, we do find that the innovative capabilities in attaining need-based TIS are sub-optimal owning to the specific diagnostic needs of highly burdened diseases in the society. The system analysis reveals that the TIS functions are underperforming because of the absence of a well-defined funding mechanism and goal-oriented targeted policy regime of the government. Since MDs have a transformative effect on the present healthcare system, we argue that the government has to address the system-based challenges and issues for developing a need-based technological innovation system for MDs in the country.

A Study for Factors Influencing the Usage Increase and Decrease of Mobile Data Service: Based on The Two Factor Theory (모바일 데이터 서비스 사용량 증감에 영향을 미치는 요인들에 관한 연구: 이요인 이론(Two Factor Theory)을 바탕으로)

  • Lee, Sang-Hoon;Kim, Il-Kyung;Lee, Ho-Geun;Park, Hyun-Jee
    • Asia pacific journal of information systems
    • /
    • v.17 no.2
    • /
    • pp.97-122
    • /
    • 2007
  • Conventional networking and telecommunications infrastructure characterized by wires, fixed location, and inflexibility is giving way to mobile technologies. Numerous research reports point to the ultimate domination of wireless communication. With the increasing prevalence of advanced cell-phones, various mobile data services (hereafter MDS) are gaining popularity. Although cellular networks were originally introduced for voice communications, statistics indicate that data services are replacing the matured voice service as the growth engine for telecom service providers. For example, SK Telecom, the Korea's largest mobile service provider, reported that 25.6% of revenue and 28.5% of profit came from MDS in 2006 and the share is growing. Statistics also indicate that, in 2006, the average revenue per user (ARPU) for voice didn't change but MDS grew seven percents from the previous year, further highlighting its growth potential. MDS is defined "as an assortment of digital data services that can be accessed using a mobile device over a wide geographic area." A variety of MDS have been deployed, with a few reaching the status of killer applications. Many of them need to access the Internet through the cellular-phone infrastructure. In the past, when the cellular network didn't have acceptable bandwidth for data services, SMS (short messaging service) dominated MDS. Now, Internet-ready, next-generation cell-phones are driving rich digital data services into the fabric of everyday life, These include news on various topics, Internet search, mapping and location-based information, mobile banking and gaming, downloading (i.e., screen savers), multimedia streaming, and various communication services (i.e., email, short messaging, messenger, and chaffing). The huge economic stake MDS has on its stakeholders warrants focused research to understand associated dynamics behind its adoption. Lyytinen and Yoo(2002) pointed out the limitation of traditional adoption models in explaining the rapid diffusion of innovations such as P2P or mobile services. Also, despite the increasing popularity of MDS, unexpected drop in its usage is observed among some people. Intrigued by these observations, an exploratory study was conducted to examine decision factors of MDS usage. Data analysis revealed that the increase and decrease of MDS use was influenced by different forces. The findings of the exploratory study triggered our confirmatory research effort to validate the uni-directionality of studied factors in affecting MDS usage. This differs from extant studies of IS/IT adoption that are largely grounded on the assumption of bi-directionality of explanatory variables in determining the level of dependent variables (i.e., user satisfaction, service usage). The research goal is, therefore, to examine if increase and decrease in the usage of MDS are explained by two separate groups of variables pertaining to information quality and system quality. For this, we investigate following research questions: (1) Does the information quality of MDS increase service usage?; (2) Does the system quality of MDS decrease service usage?; and (3) Does user motivation for subscribing MDS moderate the effect information and system quality have on service usage? The research questions and subsequent analysis are grounded on the two factor theory pioneered by Hertzberg et al(1959). To answer the research questions, in the first, an exploratory study based on 378 survey responses was conducted to learn about important decision factors of MDS usage. It revealed discrepancy between the influencing forces of usage increase and those of usage decrease. Based on the findings from the exploratory study and the two-factor theory, we postulated information quality as the motivator and system quality as the de-motivator (or hygiene) of MDS. Then, a confirmative study was undertaken on their respective role in encouraging and discouraging the usage of mobile data service.

A study on the efficiency of multidimensional scalin using bootstrap method (붓스트랩을 이용한 다차원척도법의 효율성 연구)

  • Kim, Woo-Jong;Kang, Kee-Hoon
    • Journal of the Korean Data and Information Science Society
    • /
    • v.20 no.2
    • /
    • pp.301-309
    • /
    • 2009
  • Multidimensional scaling(MDS) is a statistical multivariate analysis technique that is often used in information visualization for exploring similarities or dissimilarities in data. In order to analyse and visualize data, MDS measures the dissimilarities between objects and uses them or their mean if they are repeatedly measured. When there exist outliers or when the variation of data is too large, we can hardly get reliable results on the research using MDS. In this paper, we consider the MDS based on bootstrap method when the variation of data is large. Standardized residual sum of squares is considered as measuring goodness-of-fit of the model. A real data analysis is include to examine our approach.

  • PDF

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
    • /
    • v.2 no.2
    • /
    • pp.105-119
    • /
    • 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.

Multidimensional Scaling of Asymmetric Distance Matrices

  • Huh, Myung-Hoe;Lee, Yong-Goo
    • The Korean Journal of Applied Statistics
    • /
    • v.25 no.4
    • /
    • pp.613-620
    • /
    • 2012
  • In most cases of multidimensional scaling(MDS), the distances or dissimilarities among units are assumed to be symmetric. Thus, it is not an easy task to deal with asymmetric distances. Asymmetric MDS developed so far face difficulties in the interpretation of results. This study proposes a much simpler asymmetric MDS, that utilizes the notion of "altitude". The analogy arises in mountaineering: It is easier (more difficult) to move from the higher (lower) point to the lower (higher). The idea is formulated as a quantification problem, in which the disparity of distances is maximally related to the altitude difference. The proposed method is demonstrated in three examples, in which the altitudes are visualized by rainbow colors to ease the interpretability of users.

A Study the Health Problems of the Living-alone Elderly Using MDS-HC 2.0 (MDS-HC 2.0을 이용한 일부 독거노인의 건강문제 조사연구)

  • Park, Kyung-Min;Jaung, Ae-Hwa
    • Research in Community and Public Health Nursing
    • /
    • v.17 no.1
    • /
    • pp.74-82
    • /
    • 2006
  • Purpose: This study used MDS-HC 2.0 to identify health problems in the elderly who live alone. Method: The subjects of this study were 100 living-alone elders aged over 65 in Daegu city. This study was performed through home visiting interviews during the period from the 1st of September to the 30th of September 2005. Analysis in this study was made using SPSS Version 11.0. Results: Frequent health problems in the living-alone elderly were: preventive heath measure (90), health promotion (80), social function (78), visual function (75), depression and anxiety (61), pain and communication disorder (60), cognition (55), environmental assessment (48) and oral health (45) in order of frequency. Informal services were provided to 73% of the subjects for emotional support. IADL services were provided to 57% of the subjects, and ADL services to 66%. Conclusion: Nursing intervention programs based on health problems from MDS-HC 2.0 should be provided in order to cope with individual health problems and living-alone elders needs. The results of this study suggest that MDS-HC 2.0 is applicable to help decide nursing interventions for the elderly who live alone in community.

  • PDF

In My Opinion: Modality in Japanese EFL Learners' Argumentative Essays

  • Pemberton, Christine
    • Asia Pacific Journal of Corpus Research
    • /
    • v.1 no.2
    • /
    • pp.57-72
    • /
    • 2020
  • This study seeks to add to the current understanding of learners' use of modality in argumentative writing. A learner corpus of argumentative essays on four topics was created and compared to native English speaker data from the International Corpus Network of Asian Learners of English (ICNALE). The relationship between learners' use of modal devices (MDs) and the devices' appearance in the school's curriculum was also examined. The results showed that learners relied on a very narrow range of MDs compared to those in previous studies. The frequency of use of MDs varied based on the topic and did not seem to be driven by cultural factors as has been previously suggested. Learners used more hedges than boosters on all topics, contradicting most previous studies. Curriculum was determined to have a direct correlation with MD use, and other important factors may include perception of topic and overreliance on certain MDs over others (the One-to-One principal). This research implies that learners' perception of topic should be explored further as a variable affecting MD use. Curricula should be designed based on frequency of MD use by English native speakers, and learners should receive instruction that teaches the norms of MD use in academic writing. The methodology used in the study to determine correlations between MD use and the curriculum has a wide range of potential applications in the field of Contrastive Interlanguage Analysis.