• Title/Summary/Keyword: Multidimensional analysis

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A research on the emotion GUI design of touch mobile for Grooming user by using a multidimensional standard analysis (다차원 척도 분석법을 통한 Grooming 사용자의 터치폰 감성 GUI 디자인에 대한 연구)

  • Kim, Ji-Hye;Whang, Min-Cheol;Kim, Yong-Woo;Lim, Joa-Sang
    • Science of Emotion and Sensibility
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    • v.12 no.4
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    • pp.501-510
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    • 2009
  • This study is to establish GUI (graphic user interface) in mobile touch phone for grooming user by using two dimensional emotion model determined by multi-dimensional scale method. The processes conducted in the research were as the followings: First of all, visceral, behavioral, and reflective factors of emotion (Norman, 2002) was defined from investigating the life styles of the Grooming users. Secondly, factor analysis was performed to extract the representative emotional words. In the third step, they were mapped into the two-dimensional emotion model through multi-dimensional scaling. Finally, the mapped emotional words were tried to be related to GUI factors of touch phones and normalizing their relation degree between 0 and 1. This study determined GUI factors significantly related to representative emotions described as special, self-centered, sophisticated, free, passionate, neat for application to mobile touch phone. This study determined the major emotion factors that should be considered the most important while designing the GUI factors.

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The Study of Summer Season in Jinhae Bay - Short-term Changes of Community Structure and Horizontal Distribution Characteristics of Phytoplankton - (하계 진해만 광역조사 - 식물플랑크톤 군집구조의 단기변화와 수평적 분포특성 -)

  • Baek, Seung-Ho;Kim, Young-Ok
    • Korean Journal of Environmental Biology
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    • v.28 no.3
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    • pp.115-124
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    • 2010
  • In order to find out the short-term phytoplankton dynamics during summer season in Jinhae Bay, we investigated the environmental factors and phytoplankton population densities at 16 stations. A total of 66 phytoplankton species were appeared, diatoms occupied more than 80% of total species, and the others were dinoflagellates and raphidophyceaes. The dominant species were diatoms Chaetoceros affinis, C. didymus, C. pseudocurvisetus, Leptocylindrus danicus, Pseudonitzchia pungens, Skeletonema costatum and dinoflagellates Cochlodinium polykrikoides, Gymnodinium impudicum, Karenia mikimotoi, Prorocentrium minimum, Protoperidinium bipes and Scrippsiella trochoidea. According to multidimensional scaling (MSD) and cluster analysis based on phytoplankton community data from each station, the Jinhae bay was divided into two groups. The first group included stations in the inner part of Masan Bay, which is strongly influenced by high nitrogen loading and low salinity by river discharge. The second group included the other remained stations. Based on canonical correspondence analysis (CCA), small-size dinoflagellates K. mikimotoi, P. minimum, P. bipes and S. trochoidea and centric diatom C. pseudocurvisetus and S. costatum, which is dominanted in the inner area of bay, were related with DIN (ammonium, nitrate, nitrite). These results imply that the study area was grouped into the two water masses (inner and outer water of Masan Bay) and inner waters had higher phytoplankton abundances and Chl.a concentration than outer waters. As a result, summer phytoplankton peaks in the inner shallow bay were stimulated by increases in nitrogen and temperature.

Validation of the Korean Version of the Lesbian, Gay, and Bisexual Identity Scale (한국판 동성애자/양성애자 다차원 정체성 척도 타당화)

  • Lee, Sojeong;Kim, Eunha
    • Korean Journal of Culture and Social Issue
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    • v.28 no.2
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    • pp.133-161
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    • 2022
  • The purpose of this study was to translate and validate the Lesbian, Gay, and Bisexual Identity Scale(LGBIS), which is a scale measuring the multidimensional identities of sexual minorities. For this, we conducted an exploratory factor analysis using a sample of 201 LGBs(homosexuals and bisexuals). Identical to the original scale, eight factors were extracted from the translated scale(i.e., concealment motivation, identity uncertainty, internalized homonegativity, difficult process, acceptance concerns, identity superiority, identity centrality, and identity affirmation), but one item was removed. In addition, the reliability coefficients of the eight factors except for concealment Motivation were satisfactory. The Confirmatory factor analysis revealed that the 8-factor model had a good fit to the data. Finally, to verify the criterion validity, correlation among each eight factor and the scales measuring the identity related scale and the psychological-functioning scale were analyzed. In conclusion, the Korean version of the LGBIS consists of 8 factors and 26 items in total. Also it was found to be a valid measure for LGBS in Korea as well.

A Study on the Method of Scholarly Paper Recommendation Using Multidimensional Metadata Space (다차원 메타데이터 공간을 활용한 학술 문헌 추천기법 연구)

  • Miah Kam;Jee Yeon Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.1
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    • pp.121-148
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    • 2023
  • The purpose of this study is to propose a scholarly paper recommendation system based on metadata attribute similarity with excellent performance. This study suggests a scholarly paper recommendation method that combines techniques from two sub-fields of Library and Information Science, namely metadata use in Information Organization and co-citation analysis, author bibliographic coupling, co-occurrence frequency, and cosine similarity in Bibliometrics. To conduct experiments, a total of 9,643 paper metadata related to "inequality" and "divide" were collected and refined to derive relative coordinate values between author, keyword, and title attributes using cosine similarity. The study then conducted experiments to select weight conditions and dimension numbers that resulted in a good performance. The results were presented and evaluated by users, and based on this, the study conducted discussions centered on the research questions through reference node and recommendation combination characteristic analysis, conjoint analysis, and results from comparative analysis. Overall, the study showed that the performance was excellent when author-related attributes were used alone or in combination with title-related attributes. If the technique proposed in this study is utilized and a wide range of samples are secured, it could help improve the performance of recommendation techniques not only in the field of literature recommendation in information services but also in various other fields in society.

A study of the multicomponent therapeutic recreation function intervention strategy by analysis on the operating condition of the cognitive rehabilitation program in dementia care center

  • Moon-Sook Lee;Byung-Jun Cho;Jae-Sik Yang
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.12
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    • pp.155-166
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    • 2023
  • This study was conducted with 50 elderly people each (5) participating in the cognitive rehabilitation treatment program at the Dementia Care Center in D City to derive the development direction and contents of a multidimensional therapeutic recreation program and a revitalization plan through analysis of the current status and actual conditions of the cognitive rehabilitation program at the Dementia Care Center. aperture) was selected, and 9 people were selected as the subject of expert group opinion collection. The collected data was SPSS ver. Using the 18.0 statistical program, descriptive statistics and the importance and priority of each component were analyzed by hierarchical structure analysis. First, unlike the needs of users, the cognitive rehabilitation support programs currently being provided are not sufficient and require considerable experience. It was found to be low, and the areas for improvement were the expansion of care and protection facilities and the development of various programs to meet the needs of users. Second, the importance and priority of each component of therapeutic recreation were categorized into 6 major categories: exercise therapy , middle category (16 items) behavior-centered approach to exercise therapy, small category (47 items) strength and brain gymnastics, and silver health gymnastics were the highest. This result shows that a multidimensional program plan that considers the priorities of each area must be made when developing a therapeutic recreation program.

The Identification of Generation Mechanism of Noise and Vibrtaion and Transmission Characteristics for Engine System - The Source Identification and Noise Reduction of Compartment by Multidimensional Spectral Analysis and Vector Synthesis Method - (엔진의 소음.진동발생기구 및 전달특성 규명 -다차원해석법과 벡터합성법에 의한 차실소음원 규명 및 소음저감 -)

  • O, Jae-Eung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.21 no.7
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    • pp.1127-1140
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    • 1997
  • With the study for identifying the transmission characteristics of vibration and noise generated by operating engine system of a vehicle, recently many engineers have studied actively the reduction of vibration and noise inducing uncomfortableness to the passenger. In this study, output noise was analyzed by multi-dimensional spectral analysis and vector synthesis method. The multi-dimensional analysis method is very effective in case of identification of primary source, but this method has little effect on suggestion for interior noised reduction. For compensation of this, vector synthesis method was used to obtain effective method for interior noise reduction, after identifying primary source for output noise. In this paper, partial coherence function of each input was calculated to know which input was most coherent to output noise, then with simulation of changes for input magnitude and phase by vector synthesis diagram, the trends of synthesized output vector was obtained. As a result, the change of synthesized output vector could be estimated.

A Study on Comparison of Intellectual Structure in Records Management and Archives Using Author Cocitation Analysis (저자 동시인용분석에 의한 국내외 기록관리학 분야의 지적구조 비교에 관한 연구)

  • Kim Hee-Jung
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.3
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    • pp.207-224
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    • 2005
  • This study investigated the intellectual structure of records management and archives field in Korea and America using author cocitation analysis. Major journals in the field from 2000 to 2004 are used to select frequent cited authors. Cocited authors are analyzed in details by means of multi-variate statistical techniques such as multidimensional scaling. To the analysis of this intellectual structure, main research topics in Korea were laws and policies related to records management and archives whereas information technology based electronic records management in America.

Semantic Network Analysis on the MIS Research Keywords: APJIS and MIS Quarterly 2005~2009

  • Lee, Sung-Joon;Choi, Jun-Ho;Kim, Hee-Woong
    • Asia pacific journal of information systems
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    • v.20 no.4
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    • pp.25-51
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    • 2010
  • This study compares and contrasts the intellectual development of the MIS field in Korea from 2005 to 2009 to that of international trends by using a keyword co-occurrence network analysis of the two flagship journals: APJIS and MIS Quarterly. From 316 research articles in these two journals, 132 unique and most frequently co-occurred keywords were put into analysis. The results of structural equivalence show a mild correlation between APJIS and MIS Quarterly. The e-commerce, trust, and technology adoption are the high frequency keywords in both journals. In Korea e-learning, purchasing, and recommendation systems turn out to be important keywords while outsourcing, research method, quantitative method, design research, information theory, and empirical research are in average international journals. This connotes that the Korean scholarship tends to focus more on practically oriented topics, but the clustering and relational mapping of research topics in each journal show a mild level of overlap with distinctive orientations due to intrinsic disparities depending on the concerned journals' geographical scopes, namely domestic or global.

The Analysis of the Developmental Approaches in Science, Health and Technology (DASH) Program Using Posner's Curriculum Model

  • Son, Yeon-A;Chae, Dong-Hyun;Min, Byeong-Mee
    • Journal of The Korean Association For Science Education
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    • v.23 no.4
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    • pp.386-400
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    • 2003
  • This paper presents an analysis of the Developmental Approaches in Science, Health and Technology (DASH) program, a K-6 curriculum developed by the Curriculum Research & Development Group (CRDG) at the University of Hawaii employing the curriculum analysis framework created by Posner. Using this framework the analyst found that the DASH design is based on the research on learning, teaching, and assessment now driving efforts to reform science education at the elementary level. DASH embraces the constructivist idea that learning is a personal and social process and the recapitulation model that new concepts are built out of theories previously learned. DASH provides an understandable, exciting, and memorable experience in the operations of science, health, and technology, and develops their capacity to use the skills and knowledge of science, health, and technology both in and outside school. A number of studies of DASH have examined its functionality, effectiveness of pedagogy and what students learn. The innovative nature of DASH necessitated a multidimensional assessment that included both quantitative and qualitative research techniques. Ongoing development of the DASH program in the research setting of a university laboratory school permits ever deeper connections with emerging curriculum theory and curriculum practice, and allows new linkages as ideas are tested in research classrooms.

HIERARCHICAL CLUSTER ANALYSIS by arboART NEURAL NETWORKS and its APPLICATION to KANSEI EVALUATION DATA ANALYSIS

  • Ishihara, Shigekazu;Ishihara, Keiko;Nagamachi, Mitsuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.195-200
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    • 2002
  • ART (Adaptive Resonance Theory [1]) neural network and its variations perform non-hierarchical clustering by unsupervised learning. We propose a scheme "arboART" for hierarchical clustering by using several ART1.5-SSS networks. It classifies multidimensional vectors as a cluster tree, and finds features of clusters. The Basic idea of arboART is to use the prototype formed in an ART network as an input to other ART network that has looser distance criteria (Ishihara, et al., [2,3]). By sending prototype vectors made by ART to one after another, many small categories are combined into larger and more generalized categories. We can draw a dendrogram using classification records of sample and categories. We have confirmed its ability using standard test data commonly used in pattern recognition community. The clustering result is better than traditional computing methods, on separation of outliers, smaller error (diameter) of clusters and causes no chaining. This methodology is applied to Kansei evaluation experiment data analysis.

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