• Journal of The Korea Institute of Healthcare Architecture
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• v.21 no.4
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• pp.7-15
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• 2015

Purpose: The definition of healing and treatment is different between the East and the West. I suppose that the different definitions of them affect the notion of healing environment in two cultural area. Therefore the aim of this study is to consider the different perspective in healing environment between the East and the West. Methods: Relevant literature review around domestic and foreign reference in fields of medicine and architecture has been conducted to consider the purpose. Results: First, the perspective that the cause of disease stems from inside of body approaches the body from standpoint of healing for recovery. Healing is the way to conquer imbalance by entering into a connection with nature around body. The concept of healing could analyze that it come from relevant perspective. Second, the healing environment in the East is the place where the flow of Qi between, human and human, and, human and environment, keep a balance. The notion of healing environment in the East is the filed of relations. In the West, the notion of healing environment is the place where arouse fine emotions through sensory stimulations. Implications: Recently the studies of healing environment focus on deducing sensory stimulation factors scientifically in the perspective of the West. But the healing environment couldn't be possible without the notion of place of relations. In the future, the notion of healing environment as the field of relations in the East has to be concerned.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.31-45
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• 2005

In this paper, convert in RDF triple and a RDF document through RDF document converters and design metadata schema about a digital camcorder after use Wrapper technology, and acquiring commodity information of a HTML page about the digital camcorder which these papers are defined so as to be different by electronic commerce stores, and is expressed. Save in digital camcorder domain ontology storage that implemented to relational database to DCC knowledge base ontology as convert to OWL Web ontology based on designed metadata schema. Through compare with rdf and DCCKBO, mapping, and inference process, provide to buyers by DCC information of the store that had the commodity purchasing information which is the best, and proposed a dynamic Web ontology guessed to contents of the best commodity purchasing information, and to define domain ontology saved in DCCKBO.

• Nuclear Engineering and Technology
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• v.25 no.4
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• pp.552-560
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• 1993

In this study, the detailed fuel assembly stress analysis model to evaluate the structural integrity for seismic and blowdown accidents is developed. For this purpose, as the first step, the program MAIN which identifies the worst bending mode shaped fuel assembly(FA) in core model is made. And the finite element model for stress calculation of FA components is developed. In the model the fuel rods (FRs) and the guide thimbles are modelled by 3-dimensional beam elements, and the spacer grid spring is modelled by a linear and relational spring. The constraints come from the results of the program MAIN. The stress analysis of the 16$\times$16 type FA under arbitary seismic load is performed using the developed program and modelling technique as an example. The developed stress model is helpful for the stress calculation of FA components for seismic and blowdown loads to evaluate the structural integrity of FA.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4995-5004
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• 2011

This study was performed to determine the levels of depressive symptoms among community elderlies and to reveal its related factors, specifically aimed at revealing factors such as social support, family support and physical function. The interviews were performed, during the period from April 1st, to June 30th, 2010, to 995 elderlies in Daejeon city. As a results, social support, family support, ADL and IADL was found to be in a positive correlation with depressive symptoms. With the analysis of covariance structure, social support was more influential on the level of depressive symptom than family support and physical function. It was found to have the inter-relational effects that the greater the social support, family support and physical function, the lower the level of depressive symptoms.

• Journal of KIISE
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• v.42 no.7
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• pp.929-938
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• 2015

In opportunistic networks, each message is delivered to the destination by repeating, storing, carrying, and forwarding the message. Recently, with the vitalization of social networks, a large number of existing articles have shown performance improvement when delivering the message and considering its social relational networks. However, these works only deliver messages when they find nodes, assuming that every node cooperates with each other unconditionally. Moreover, they only consider the number of short-term contacts and local social relations, but have not considered each node's average relation with the destination node. In this paper, we propose novel message sending techniques for opportunistic networks using nodes' social network characteristics. In this scheme, each message is delivered to the destination node with fewer copies by delivering it mostly through nodes that have high intimacy with the destination node. We are showing that our proposed scheme presents a 20% performance increase compared to existing schemes.

• The KIPS Transactions:PartD
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• v.16D no.1
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• pp.43-54
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• 2009

The purpose of this study is to explore variables that affect users' perceived value of mobile advertising and actual response intention and to analyze causal relationships among variables. In order to verify the relational significance, we built new research model and hypotheses based on the Ducoffe's model(1996). And we found out four independent variables such as entertainment, information usefulness, convenience, economical efficiency, and advertising impact's value as a mediating variable. Especially, we classified into four multi-age groups to investigate properly moderating effects through SEM(path analysis) and difference test. Therefore, it is academical and practical worth that we developed our model to appropriate on mobile advertising's unique property and that we verified our hypotheses and variables focused on age group, whereas previous research did not. For this, we surveyed 345 samples for conducting structural equation modeling in empirical approach. The results of this study supported the statistical significance of all hypotheses except but convenience.

• Anxiety and mood
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• v.14 no.2
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• pp.99-105
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• 2018

Objective : The purpose of this study was to investigate effects of depression and anxiety on treatment response of social skills training in adolescents with autism spectrum disorders (ASD). Methods : A total of 107 teenagers that participated in the Program for the Education and Enrichment of Relational Skills (PEERS$^{(R)}$) between 2011 and 2015 were analyzed using linear regression. Outcome measures used were the Korean version of Social Responsiveness Scale (SRS), the Test of Adolescent Social Skills Knowledge-Revised (TASSK-R), and the Korean version of Autism Diagnostic Observation Schedule (K-ADOS). Depression and anxiety were assessed by the Korean version of Child Depression Inventory (CDI), the Korean version of State and Trait Anxiety Inventory for Children (STAIC), and the Korean version of Child Behavior Checklist (K-CBCL). Results : As a result, depressive symptoms measured by CDI (p<0.05) and anxiety symptoms measured by STAIC (p<0.05) had significant influence on score change of social interaction domain of ADOS. It remained significant even after the baseline score was adjusted as covariates (p<0.05). Conclusion : We observed that pre-treatment anxiety and depressive symptoms of teenagers had significant effects on the treatment outcome of PEERS$^{(R)}$, especially in terms of face-to-face social interaction.

• Korean Journal of Remote Sensing
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• v.13 no.1
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• pp.31-46
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• 1997

In recent years, as remotly-sensed image processing technologies have been improved and spread widely in the application areas, many new requirements for the image processing technologies have arisen. However, it is difficult and costly to access remotely-sensed image processing systems. Moreover, these systems have thier own processing facilities which are not easily accessible for general users. In this paper, those problems are challenged by adopting Internet as a universal information network for accessing remotly-sensed image DBMS and by allowing users to work remotely on the image processing. A remotly-sensed image processing system which can be accessed via Internet was designed and implemented. This system can be used to manipulate images over remote DBMS. The Illustra object-oriented relational DBMS with CGI(Common Gateway Interface) web interface was used in this project. The client consists of a WWW(World Wide Web) Netscap$e^{TM}$ browser, and the server consists of HTTPD(Web daemon), Illustra DBMS and Java modules in order to process the image being displayed. The developed system was tested on LAN environment and the service response time met the requirements.

• Korean Journal of Remote Sensing
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• v.26 no.3
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• pp.317-324
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• 2010

In recent years, many automatic classification approaches have been employed. An automatic classification method can be effective, time-saving and can produce objective results due to the exclusion of operator intervention. This paper proposes a classification method based on automated training for high resolution multispectral images using ancillary data. Generally, it is problematic to automatically classify high resolution images using ancillary data, because of the scale difference between the high resolution image and the ancillary data. In order to overcome this problem, the proposed method utilizes the classification results of a Landsat image as a medium for automatic classification. For the classification of a Landsat image, a maximum likelihood classification is applied to the image, and the attributes of ancillary data are entered as the training data. In the case of a high resolution image, a K-means clustering algorithm, an unsupervised classification, was conducted and the result was compared to the classification results of the Landsat image. Subsequently, the training data of the high resolution image was automatically extracted using regular rules based on a RELATIONAL matrix that shows the relation between the two results. Finally, a high resolution image was classified and updated using the extracted training data. The proposed method was applied to QuickBird and SPOT-5 images of non-accessible areas. The result showed good performance in accuracy assessments. Therefore, we expect that the method can be effectively used to automatically construct thematic maps for non-accessible areas and update areas that do not have any attributes in geographic information system.

• Korean Journal of Social Welfare Studies
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• v.49 no.3
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• pp.147-177
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• 2018

To form a foundation of basic materials to contribute in improved mental health of one-person households, the purpose of this study is to investigate the association of interpersonal relationships and depression and to identify indirect effect of satisfaction with life. To this end, the study used structural equation modeling, employing data from the 2012 Korean General Social Survey(KGSS), a nationally representative survey and targeted 300 living alone people who is older than 20 years old. The findings are as follows: First, the quality of interpersonal relationships has a negative effect on depression and can relieve depression. It also revealed that one-person households are not isolated from relationships and they utilize not only kin relational resources but non-kin resources while forming a positive relationships. Second, the quality of interpersonal relationships effects one's life satisfaction which ultimately has an effect on depression. It verifies that, within interpersonal relationship and depression, there are indirect effect resulting from satisfaction with life. Based on the result of current study, practical intervention programs to improve life satisfaction and prevent depression were suggested.