• Journal of Broadcast Engineering
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• v.19 no.1
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• pp.3-13
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• 2014

This study as an exploratory study, investigates personal cloud service use which has been developed and distributed rapidly. Focusing on the user's characteristics and use behaviors, the influences of connected uses of platform and contents are empirically figured out. The results show that the contents which need small-data capacity like pictures and musics have been used very frequently in a cloud service. Second, 'platform-connected use' has been found out as the most influential factor in cloud service. SNS, e-mail, and personal innovativeness are also proved as significant factors. As a leading study analyzing theoretically the personal cloud service, it implies that it is necessary to consider the user's characteristics and use behaviors in developing cloud service in the market and making policy for promoting relevant industry.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.55-63
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• 2020

Recently, people have come to enjoy using movies and music applications, such as YouTube, Netflix, and Watcha Play, on their smart devices while riding public transportation. However, they sometimes miss their destination stations because of these activities. Therefore, in this paper, we propose a disembarking notification system for public city buses using smart devices and high frequencies generated via the buses' speakers. The high frequencies are generated by the public buses' station information broadcasters. Smart devices then analyze the high-frequency signals with their inner microphones, and the proposed application displays a disembarking notification to the user when the user's destination or stop-over station's signal is the same. To evaluate this system's performance, we tested 1,000 real-time disembarking notifications, and the test results showed 98.9% accuracy. Moreover, we compared these results to those using only OpenAPI, and our proposed system featured far better outcomes. Thus, this proposed notification system can prove a useful technology for many people who often use public city buses, as it can notify specific users of their destination stations. Furthermore, this system will become innovative technology for global public transportation by informing users of their desired stations using speakers.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.131-145
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• 2012

During the 1980s and 1990s, most of the old industrial cities of advanced countries have experienced serious de-industrialisation. This has caused many problems, such as economic decline, increasing unemployment, environmental degradation and social unrests. Since the mid-1980s, some of these cities have started to tackle the problems by urban regeneration programs with cultural and artistic activities, new industries, and implementing housing projects. The cities of Newcastle and Gateshead in Northeastern England were the examples of the ones which have created major development projects, such as building condominiums, renovating old factory building, and promoting cultural and art activities. This paper introduces policies and programs of the cities' urban regeneration, analyses their governance structure, and articulates factors contributing to the success of the policies and programs.

• Korean Journal of Childcare and Education
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• v.1 no.1
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• pp.59-81
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• 2005

The purpose of this study was to examine how Montessori-education program, one of different early-childhood education programs, was tied into the multiple intelligences of young children and how Montessori education program affected their multiple intelligences. It's basically meant to determine the efficiency of Montessori-education program. The major findings of the study were as follows: First, the Montessori-education program turned out to have a favorable effect on the development of the young children's multiple intelligences. Second, among the subfactors of multiple intelligences, the musical and bodily-kinesthetic intelligences of the preschoolers were little affected by the Montessori-education program, but that had a good impact on their logical-mathematical, spatial, linguistic, interpersonal, intrapersonal, and naturalist intelligences. The above-mentioned findings suggested that Montessori-education program was one of efficient teaching methods to step up the development of young children's multiple intelligences.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.4
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• pp.265-290
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• 2014

The aim of the study is to examine the applicability of FRBRoo / CIDOC CRM to conceptualize information resources for localities. It attemps to establish the conceptual structure and the relationship of them and seeks ways to apply the model. For this purpose, almost 30 articles specially in localities research were analysed and categories of information resources for localities were identified. After examining conceptual model in cultural information management sectors (library, museum, archive), 6 case of conceptualization were attempted based on FRBRoo / CIDOC CRM. In conclusion, it presented that FRBRoo / CIDOC CRM could be applied to various type of information resources for localities and that it could be possible to represent information resources based on particular space(place, local) through the conceptualization.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.371-380
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• 2020

This study is a systematic review study to confirm the effectiveness of the health promotion program for the elderly in the community. The research method was to search for published papers using the domestic databases RISS, KISS, DBpia, and KoreaMed, analyze a total of 10 studies, and code them for 2 researchers. As a result, the characteristics of intervention in the health promotion program were often applied to the frequency of intervention more than twice a week, and the intervention time of more than 12 weeks, approximately 60 minutes once. In the composition of intervention, the study that applied exercise and education together and the study that mixed the types of exercise were mainly. The outcome measurement variables were muscle strength, body mass index, depression, self-efficacy, health promotion lifestyle, and quality of life. Through this study, it is necessary to develop a sustainable health promotion program and verify effectiveness in the lives of the elderly in the community.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.670-679
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• 2015

With a rapid development of internet, many users these days refer to various recommender sites when buying items, movies, music and more. However, there are malicious users (Sybil) who raise or lower item ratings intentionally in these recommender sites. And as a result, a recommender system (RS) may recommend incomplete or inaccurate results to normal users. We suggest a recommender algorithm to separate ratings generated by users into normal ratings and outlier ratings, and to minimize the effects of malicious users. Specifically, our algorithm first ensures a stable RS against three kinds of attack models (Random attack, Average attack, and Bandwagon attack) which are the main recent security issues in RS. To prove the performance of the method of suggestion, we conducted performance analysis on real world data that we crawled. The performance analysis demonstrated that the suggested method performs well regardless of Sybil size and type when compared to existing algorithms.

• 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.

• (The) Research of the performance art and culture
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• no.32
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• pp.333-370
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• 2016

This study examines self-reflexive scenes of Changgeuk [창극; Korean classical opera] Seopyenje [서편제]. This show deals with Pansori [판소리; a kind of Korean folk play] and its singers. The uniqueness of this show is that although it is a new creative work of Changgeuk, the traditional Pansori music is used intactly. These characteristics are related to some self-reflexive scenes in the show: the narcissistic reference of Pansori makes to seem that this show inherits a artistry of Pansori; a play within a play and a role-play reinforce a reality on the action and characters of outer play; an intertextuality, bringing the narrative and music of Pansori Simcheong-ga [심청가] in this show, it makes audiences spontaneously discover a connection between the cited original text and the hypertext. Namely, the self-reflexivity of Changgeuk Seopyenje doesn't destroy an illusion, but rather it presents a kind of conservative self-reflexivity which uncovers a part of tricks for the illusion in order to create new illusion.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.53-60
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• 2021

LOD-based recommender systems usually leverage the data available within LOD datasets, such as DBpedia, in order to recommend items(movies, books, music) to the end users. These systems use a semantic similarity algorithm that calculates the degree of matching between pairs of Linked Data resources. In this paper, we proposed a new approach to measuring semantic distance in an LOD-based recommender system by assigning weights converted from user ratings to links in the LOD graph. The semantic distance measurement model proposed in this paper is based on a processing step in which a graph is personalized to a user through weight calculation and a method of applying these weights to LDSD. The Experimental results showed that the proposed method showed higher accuracy compared to other similar methods, and it contributed to the improvement of similarity by expanding the range of semantic distance measurement of the recommender system. As future work, we aim to analyze the impact on the model using different methods of LOD-based similarity measurement.