• Journal of Korea Multimedia Society
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• v.9 no.10
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• pp.1332-1343
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• 2006

This paper proposes an educational community service system that manages information of good quality intensively without overlapping, and that provides an effective searching function by using a personal community with many user layers. This system raises the efficiency of searching and management by using Metadata and Category. It is a self-leading educational community system that brings merits into relief and improves weak points. We constructed an autogenous Blog chain service as a tool which verifies this system, which is called 'EduLOG(Educational Blog) service' Especially we extracted Metadata suitable for this service, which is on the basis of worldfamous Dublin Core Metadata. And we made a new category on the basis of categories which were proposed by some educational community sites and public educational authorities, and we applied it to this system. To ascertain whether this service system provide adequate function or not, we made a questionnaire on the basis of the appraisal table in websites, and evaluated it at the request of experts. In view of the results so far achieved, it returned good scores (above 3.5/5.0) in accuracy of evaluation, low-end reappearance ratio, easiness of registering and approaching information, and intensive management of a categorical information, confirming the efficiency of the ECSS system. Therefore we believe firmly that the ECSS system will play a efficient information storing and searching roles in the near future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.276-288
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• 2020

This study analyzed the intervention program of smartphone addiction. The literature used for this research analysis was published from Jan. 2010 to Jul. 2019. The foreign literature was searched for in 'Pubmed and Science Direct', and the domestic literature was found in 'RISS, Keris, and KISS'. A total of 310 studies were found and analyzed on the basis of our inclusion and exclusion criteria. Finally, 16 theses were analyzed. Thirteen theses (81%) meet the required evidence level, and three theses (19%) had level III. As a result of analysis on the intervention methods of smartphone addiction, art therapy was found in 6 theses (37.5%), exercise therapy in four theses (25.0%), and cognitive behavior therapy in three theses (18.6%). After the intervention of most of the programs, there were reduced withdrawal symptoms of smartphone addiction, reduced negative feelings like depression, anxiety, and impulsiveness, and increased positive feelings like self-esteem. A smartphone addiction evaluation scale was mostly applied in terms of the evaluated items, along with psychological evaluation. These studies are expected to be effectively used as intervention tools for treating smartphone addiction.

• The KIPS Transactions:PartD
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• v.17D no.2
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• pp.129-146
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• 2010

Nowadays, XML has been favored by many companies internally and externally as a means of sharing and distributing data. there are many researches and systems for modeling and storing XML documents by an object-oriented method as for the method of saving and managing web-based multimedia document more easily. The representative tool for the object-oriented modeling of XML documents is UML (Unified Modeling Language). UML at the beginning was used as the integrated methodology for software development, but now it is used more frequently as the modeling language of various objects. Currently, UML supports various diagrams for object-oriented analysis and design like class diagram and is widely used as a tool of creating various database schema and object-oriented codes from them. This paper proposes an Efficinet Query Modelling of XML-GL using the UML class diagram and OCL for searching XML document which its application scope is widely extended due to the increased use of WWW and its flexible and open nature. In order to accomplish this, we propose the modeling rules and algorithm that map XML-GL. which has the modeling function for XML document and DTD and the graphical query function about that. In order to describe precisely about the constraint of model component, it is defined by OCL (Object Constraint Language). By using proposed technique creates a query for the XML document of holding various properties of object-oriented model by modeling the XML-GL query from XML document, XML DTD, and XML query while using the class diagram of UML. By converting, saving and managing XML document visually into the object-oriented graphic data model, user can prepare the base that can express the search and query on XML document intuitively and visually. As compared to existing XML-based query languages, it has various object-oriented characteristics and uses the UML notation that is widely used as object modeling tool. Hence, user can construct graphical and intuitive queries on XML-based web document without learning a new query language. By using the same modeling tool, UML class diagram on XML document content, query syntax and semantics, it allows consistently performing all the processes such as searching and saving XML document from/to object-oriented database.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.3 no.1
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• pp.57-72
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• 2008

Serve and do so that graft together specialists' view application field of computer and developmental disability diagnosis estimation data to construct developmental disability diagnosis estimation system in this Paper and constructed developmental disability diagnosis estimation system. Developmental disability diagnosis estimation must supply information of specification area that specialists are having continuously. Developmental disability diagnosis estimation specialist system need multimedia data processing that is specialized little more for developmental disability classification diagnosis and decision-making and is atomized for this. Characteristic of developmental disability diagnosis estimation system that study in this paper can supply quick feedback about result, and can reduce mistake on recording and calculation as well as can shorten examination's enforcement time, and background of training is efficient system fairly in terms of nonprofessional who is not many can use easily. But, as well as when multimedia information that is essential data of system construction for developmental disability diagnosis estimation is having various kinds attribute and a person must achieve description about all developmental disability diagnosis estimation informations, great amount of work done is accompanied, technology about equal data can become different according to management. Because of these problems, applied search technology of contents base (Content-based) that search connection information by contents of edit target data for developmental disability diagnosis estimation data processing multimedia data processing technical development. In the meantime, typical access way for conversation style data processing to support fast image search, after draw special quality of data by N-dimension vector, store to database regarding this as value of N dimension and used data structure of Tree techniques to use index structure that search relevant data based on this costs. But, these are not coincided correctly in purpose of developmental disability diagnosis estimation because is developed focusing in application field that use data of low dimension such as original space DataBase or geography information system. Therefore, studied save structure and index mechanism of new way that support fast search to search bulky good physician data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.293-302
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• 2019

This study systematically analyzed computer-based driving intervention programs for seniors, to provide the academic background for driving intervention for seniors. Articles published from January 2009 till December 2018 were researched and analyzed. 'PubMed, Google Scholar, and Science Direct' were used to search articles published overseas, and 'RISS, KERIS, and KISS' searched for articles published in Korea. Based on the inclusion and exclusion criteria, totally 359 papers were retrieved, and 10 articles were finally analyzed; 8 articles (80%) were evidence level I, and 2 articles (20%) were evidence level III. Amongst the computer-based interventions, driving simulators (70%) were the most common, followed by two video image training (20%) and one Nintendo Wii program (10%). In most studies, driving simulators trained the cognitive and visual abilities of seniors and enhanced their abilities to cope with risk situations under various simulated circumstances. Other interventions were also reported to have a positive effect. For evaluating elderly drivers, the driving performance evaluation using a driving simulator was the most common; in addition, evaluations of attention, space-time ability, cognitive function, risk perception, depression and anxiety were also commonly used. We believe that it is appropriate to employ computer-based driving intervention programs for seniors to train and evaluate various domains. We expect that these interventions can be used as an effective tool for safe driving.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.1
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• pp.109-132
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• 2019

The purpose of this study is to examine and propose to improve the features of a simple keyword search box and faceted navigations of KOLIS-NET operated by the National Library of Korea. A record group of '2011-2020 (776)' under 'Publication date' facet, out of 3,702 records retrieved from a search of '김훈', were examined. Major findings are as follows: (1) Five facets including 'Format', 'Publication date', 'Subject', 'Language' and 'Country' are used to limit search results only in the first step, and multiple facets cannot be simultaneously used; (2) With 'Publication date' facet formed in the span of ten years, a separate publication year cannot be identified; (3) 'Subject' facet based on KDC limits the results only in broad subject classes without sub-facets; (4) Under 'Format' facet, a special format such as large print texts cannot be identified; (5) Without 'Author' facet, authors cannot be identified; and (6) 'Publication date missing', 'Language missing', and 'Miscellaneous subject' record groups cannot be clicked and displayed, a navigation to-and-fro between a brief list and bibliographic records is not smooth, etc. Therefore an application of multiple facets in all stages of limiting the search result, a construction of sub-facets for 'Publication date' and 'Subject' facets, an accurate description and coding of 'General Material Designation', etc. are suggested to improve KOLIS-NET's faceted navigation.

• Therapeutic Science for Rehabilitation
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• v.8 no.3
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• pp.31-41
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• 2019

Objective: This study was conducted to comprehensively analyze domestic and international literature on the oral sensorimotor intervention approaches and evaluation/non-instrumental assessment methods for children with cerebral palsy with feeding disorders. Methods: One hundred and seventy-six papers published from January 2009 to December 2018 were screened. Forty-seven papers were selected based on the abstract and title, and five papers were selected through a secondary search. Results: The PEDro scale of the selected papers was high with an average of 7 points, and the therapeutic intervention period was found to be between 2 and 6 months, providing therapeutic interventions once to 5 times a week, at least 15 minutes to 1 hour a day. The treatment approach was used with impairment-based intervention and adaptive-based intervention, and the assessment method was divided into clinical evaluation and non-instrumental assessments. Conclusion: Through this systematic review, we found that there are a variety of oral sensorimotor interventions for children with cerebral palsy with feeding disorders. This study provides support for planning oral sensorimotor intervention programs for occupational therapy in clinical practice for children with cerebral palsy.

• 한국노년학
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• v.37 no.2
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• pp.445-459
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• 2017

The purpose of this study is to provide a systematic review of the nonpharmacological interventions of ADL improvement for dementia published in foreign journals for the past 10 years, and to provide general information on nonpharmacological interventions and effective intervention methods to dementia expert in clinical practice. We searched published studies in the Medline Complete, PubMed Central, and Scopus databases from January 2007 to November 2016. The main keywords used "Dementia AND (ADL OR Activities of daily living) AND Nonpharmacological interventions" and total of 9 studies were selected for analysis from 974 searched articles. The level of evidence were belonged to 3 each studies in I~III level. The mostly provided nonpharmacological interventions were exercise, the study field was variety of areas including rehabilitation(occupational therapy, physical therapy), nursing, and psychology. The Barthel Index(BI) was most frequently used assessment tools to evaluate basic activities of daily living, Cognition was most dependent variables measured with the ADL. Through this study, we provided evidence for the understanding of nonpharmacological interventions of ADL improvement for dementia. In the future, based on this study, helpful intervention needed for ADL training.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.3
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• pp.72-85
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• 2022

Objective : This study was conducted to examine self-selected goals and the outcome measures used in the Cognitive Orientation to daily Occupational Performance (CO-OP) approach for Developmental Coordination Disorder. Methods : Studies published from January 2012 to October 2022 in the PubMed, Embase, ScienceDirect, Cochrance Library databases were searched. Keywords used for search were ('developmental coordination disorder' OR 'DCD') AND ('Cognitive Orientation to daily Occupational Performance' OR 'Cognitive Orientation to Occupational Performance' OR 'CO-OP'). Among 211 searched studies, 7 selected studies that match the thesis of this study were analyzed. Results : The selected studies showed a relatively high level of evidence overall, including two randomized experimental studies, one non-random two-group study, three non-random one-group studies, one single-subject study. The self-selected goals preference of the children was high in the order of play, education, and daily life activities. Most of applicable sessions were conducted 10 times during a 1-h period, and intervention effects showed positive outcomes on the occupation performance motor domain. To measure the effectiveness of CO-OP, the improvement of occupational performance was evaluated using Canadian Occupational Performance Measure (COPM) and Performance Quality Rating Scale (PQRS), and the improvement of motor skills was evaluated using Movement Assessment Battery for Children (M-ABC). Conclusion : This study is expected to be used as basic clinical data when applying the CO-OP approach to Developmental Coordination Disorder.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.197-206
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• 2009

The medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image classification and retrieval system is necessary. The medical image classification and retrieval system can improve efficiency in a medical diagnosis by providing disease-related images and can be useful in various medical practices by checking diverse cases. However, it is difficult to understand the meanings contained in images because the existing image classification and retrieval system has handled superficial information only. Therefore, a medical image classification system which can classify medical images by analyzing the relation among the elements of the image as well as the superficial information has been required. In this paper, we propose the method for learning and classification of brain MRI, in which the superficial information as well as the spatial information extracted from images are used. The superficial information of images, which is color, shape, etc., is called low-level image information and the logical information of the image is called high-level image information. In extracting both low-level and high-level image information in this paper, the anatomical names and structure of the brain have been used. The low-level information is used to give an anatomical name in brain images and the high-level image information is extracted by analyzing the relation among the anatomical parts. Each information is used in learning and classification. In an experiment, the MRI of the brain including disease have been used.