• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.53-59
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• 2017

This study was attempted to identify the domestic research related to depression and stress. The subjects of the analysis were 1,875 college degree theses thrown in the National Assembly Library searched by the depression and stress keyword as of November 30, 2016. The analysis method visualizes atypical data with Word Cloud, which is one of the text mining techniques. We also used the R'LDA package and LDA to classify treatment and subjects. As a result of the analysis, 233(12.4%) of the total papers with therapeutic keywords were found. Application of treatment methods was art therapy, music therapy, horticultural therapy, cognitive behavior therapy, clinical art therapy, cognitive therapy, psychological therapy, depression treatment, group therapy, laughter treatment sequence. The study subjects were adolescents, elderly, patient, mother, child, female, parents, and college students in order. The results of LDA topic analysis for adolescents were classified into four topics: self-support, treatment program, relationship effect, and variable study.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.5-23
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• 2016

It has been shown that in the modern society, teenagers do not read a lot of books. As basic research in order to attract teenagers to reading activities, the effectiveness of booktrailers in affecting reading motivation of teenagers has been studied. As such, 121 middle school and high school students were surveyed with respect to their (1) basic awareness of reading and booktrailers, (2) awareness thereof after watching booktrailers, and (3) reader behaviour reaction applied to AIDMA & AISAS sub-elements. Results show booktrailers to be much more effective in reading motivation than printed media such as book reviews. The preferred booktrailer type is the storyline type. The preferred elements of booktrailers are the storyline, background music, video effects, with their preference in descending order. Also, in terms of the reader behaviour reaction of the teenagers, very positive responses appear across all areas including attention and interest in the book, memories of the book, desire to read the book, search for information, and production of booktrailers. These results indicate that booktrailers can be utilized very effectively in providing reading motivation and in reading expression activities.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.534-546
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• 2009

Query by humming is an effective and intuitive querying mechanism when a user wants to find a song without knowing lyrics. The query by humming system takes a user-hummed melody as input, compares it with melodies in a music database, and returns top-k similar melodies to the input. In this paper, we propose a novel algebra for query by humming, and design and implement a real query by humming system called HummingBase by exploiting the algebra. By analyzing existing similarity search techniques, we derive 10 core operators for the algebra. By using the well-defined algebra, we can easily implement such a system in a extensible and modular way. With two case studies, we show that the proposed algebra can easily represent the query processing processes of existing query-by-humming systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.669-671
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• 2010

IStorage is a technology, which can use resources of server PC by using Android Phone supporting wireless internet access. IStorage utilizes resources of server PC through WebDAV protocol. And with GUI interface, Users upload their resources to the server PC and They can perform various kinds of works like Opening, Searching, Deleting and Downloading files. Since it is possible for them to use resources of server PC as if they are originally stored in their mobile devices, there is no limit on using the functions such as watching movies, listening musics and opening document files in real time. We expect this study can to overcome the limitation of storage space and also be a useful technology in the smart phone market.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1523-1537
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• 2018

The AI speaker is a simple operation that provides users with useful functions such as music playback, online search, and so the AI speaker market is growing at a very fast pace. However, AI speakers always wait for the user's voice, which can cause serious problems such as eavesdropping and personal information exposure if exposed to security threats. Therefore, in order to provide overall improved security of all AI speakers, it is necessary to identify potential security threats and analyze them systematically. In this paper, security threat modeling is performed by selecting four products with high market share. Data Flow Diagram, STRIDE and LINDDUN Threat modeling was used to derive a systematic and objective checklist for vulnerability checks. Finally, we proposed a method to improve the security of AI speaker by comparing the vulnerability analysis results and the vulnerability of each product.

• Journal of Practical Engineering Education
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• v.11 no.1
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• pp.133-141
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• 2019

The purpose of this study was to analyze the current status and effects of health-related intervention for children and adolescents in multicultural families and to provide a evidence of nursing educational intervention. The Scoping strategy was applied, the 12 published literature were analyzed according to the selection criterion and exclusion criterion among 604 published literature retrieved through 8 electronic databases. The results of this present study showed that most research was conducted on elementary school students, and types of intervention programs were art therapy, music activities, psychotherapy, and physical activities. This study suggests the need for intervention to prevent and promote health problems among children and adolescents in multicultural families, and the necessity of preparing intervention strategies including physical, psychological, and developmental areas.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.293-298
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• 2020

The purpose of this study is to confirm the use of smartphones by children aged 3 to 5 years old and to propose a plan for prevention of overdependence. To this end, the data of 909 people aged 3 to 5 years old were used in the study from the raw data of the '2019 Smartphone Overdependence Survey' conducted by the National Information Society Agency. The research results are as follows : Infants aged 3 to 5 were using their smartphone for an average of more than an hour a day, it was found that smartphones were used in the order of video services and games, listening to music, educational contents and search services. Parents were found to be tolerant of their children's smartphone usage time and dependence. In particular, despite the fact that most infants and toddlers use smartphones to watch videos and use game content, they are not concerned. Therefore, parental education content for the use of smartphones by infants and toddlers needs to include comprehensive content on media use.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.46-63
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• 2022

With the rapid development of digital technology and the growing trend to integrate it into the medical field, recent studies suggest language rehabilitation for people with aphasia using virtual reality (VR), augmented reality (AR) and mobile applications. This study conducted a scoping review to summarize the features of digital technology-based language rehabilitation for aphasia in the last four years (2018-2021) and draw implications for future research. A total of 20 papers met the selection criteria among the documents retrieved from the Web of Science, CINAHL, and RISS. This review demonstrates that digital technology could offer unique treatment content by gamification, individualization, and creating a realistic communication environment, and by utilizing them in various ways. Therefore, we expect digital technology-based language rehabilitation for aphasia could supplement the limitations of conventional language rehabilitation and provide a novel perspective on development of treatment content.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.540-550
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• 2017

To investigate a variety of nonpharmacologic interventions have confirmed what the symptoms and effects, mainly interventions by acting on behavioral and psychological symptoms of dementia was conducted a meta-analysis. Data were collected from online search engines using search words from domestic and foreign article database. The researcher independently and among the pre-post experimental studies published from January 2000 to June 2016, recalled applying for the elderly with dementia presents the effect of treatment group and the control group RCT in this study were included in the study. The results of this meta-analysis showed that, effect size of the nonpharmacologic interventions of total -0.33, occupational therapy - 0.26, multi-sensory stimulation intervention -0.65 was significant beneficial effects to elderly with dementia(p<.05). According to interventions as a major affected the symptoms associated with behavioral problems, mainly aggression, memory-related problem behavior in the home-based program. Also, reminiscence therapy and occupational therapy is generally apathy, multi-sensory stimulation and music therapy was confirmed that there was a major change in behavior anxiety or agitation. The results of this study confirmed that various nonpharmacologic interventions were effective on behavioral psychological symptoms of dementia patients and confirmed the main symptoms of intervention.

• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.