• Journal of Digital Convergence
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• v.10 no.5
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• pp.185-191
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• 2012

This study deals with the technical approach related to the protection of digital video contents copyright, which has currently become a major issue in the digital contents market. With the production and distribution of digital video contents rapidly increasing, various policies and technical approaches are being made in relation to the protection of intellectual property rights. The technical approach from a DRM (Digital Rights Management) perspective was made from various angles, but its limitations have also been exposed in terms of convenience and quality. In this study, rather than the existing encoding certification and watermark technologies, it introduces technical approaches from a content-based copy detection method, while suggesting a copy detection method using the representative color sequence. In particular, this study takes into consideration the distribution environment of the domestic video market and deals with the technical approach in a direction that can control the illegal distribution of high quality videos.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.91-103
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• 2015

This research aimed to investigate the benefits of incorporating Problem-Based Learning(PBL) approach in Business English classes in a Korean university. This study focused on student experiences of learning in a PBL environment. The study examined the feasibility of cultivating students' key job competencies, that of their learning achievement and their satisfaction with the PBL approach. Data on student experiences were gathered from questionnaires. The analysis of the data showed, first, that the PBL could cultivate students' key job competencies. Second, the PBL could have a positive effect on students' acquisition of business content knowledge and their English language development. Third, the PBL approach achieved above moderate level of student satisfaction.

• Safety and Health at Work
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• v.14 no.2
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• pp.201-206
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• 2023

Background: Despite workplaces having policies on fire evacuation, many employees still fail to evacuate when there is a fire alarm. The Reasoned Action Approach is designed to reveal the beliefs underlying people's behavioral decisions and thus suggests causal determinants to be addressed with interventions designed to facilitate behavior. This study is a uses a Reasoned Action Approach salient belief elicitation to identify university employees' perceived advantages/disadvantages, approvers/disapprovers, and facilitators/barriers toward them leaving the office building immediately the next time they hear a fire alarm at work. Methods: Employees at a large public United States Midwestern university completed an online cross-sectional survey. A descriptive analysis of the demographic and background variables was completed, and a six-step inductive content analysis of the open-ended responses was conducted to identify beliefs about leaving during a fire alarm. Results: Regarding consequence, participants perceived that immediately leaving during a fire alarm at work had more disadvantages than advantages, such as low risk perception. Regarding referents, supervisors and coworkers were significant approvers with intention to leave immediately. None of the perceived advantages were significant with intention. Participants listed access and risk perception as significant circumstances with the intention to evacuate immediately. Conclusion: Norms and risk perceptions are key determinants that may influence employees to evacuate immediately during a fire alarm at work. Normative-based and attitude-based interventions may prove effective in increasing the fire safety practices of employees.

• Journal of KIISE:Software and Applications
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• v.35 no.3
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• pp.197-206
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• 2008

In the mobile Internet environment, frequent communications between a mobile device and a content server are required for searching or downloading learning materials. In this paper, we propose an efficient prefetching technique to reduce the network cost and to improve the communication efficiency in the mobile dictionary. Our prefetching-based approach can be explained as follows. First, we propose an overall framework for the prefetching-based mobile dictionary. Second, we present a systematic way of determining the amount of prefetching data for each of packet-based and flat-rate billing cases. Third, by focusing on the English-Korean mobile dictionary for middle or high school students, we propose an intuitive method of determining the words to be prefetched in advance. Fourth, based on these determination methods, we propose an efficient prefetching algorithm. Fifth, through experiments, we show the superiority of our prefetching-based method. From this approach, we can summarize major contributions as follows. First, to our best knowledge, this is the first attempt to exploit prefetching techniques in mobile applications. Second, we propose a systematic way of applying prefetching techniques to a mobile dictionary. Third, using prefetching techniques we improve the overall performance of a network-based mobile dictionary. Experimental results show that, compared with the traditional on-demand approach, our prefetching based approach improves the average performance by $9.8%{\sim}33.2%$. These results indicate that our framework can be widely used not only in the mobile dictionary but also in other mobile Internet applications that require the prefetching technique.

• ETRI Journal
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• v.36 no.5
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• pp.741-751
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• 2014

Smart TV is expected to bring cloud services based on virtualization technologies to the home environment with hardware and software support. Although most physical resources can be shared among virtual machines (VMs) using a time sharing approach, allocating the proper amount of memory to VMs is still challenging. In this paper, we propose a novel mechanism to dynamically balance the memory allocation among VMs in virtualized Smart TV systems. In contrast to previous studies, where a virtual machine monitor (VMM) is solely responsible for estimating the working set size, our mechanism is symbiotic. Each VM periodically reports its memory usage pattern to the VMM. The VMM then predicts the future memory demand of each VM and rebalances the memory allocation among the VMs when necessary. Experimental results show that our mechanism improves performance by up to 18.28 times and reduces expensive memory swapping by up to 99.73% with negligible overheads (0.05% on average).

• ETRI Journal
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• v.24 no.1
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• pp.1-11
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• 2002

A video summary abstracts the gist from an entire video and also enables efficient access to the desired content. In this paper, we propose a novel method for summarizing news video based on multimodal analysis of the content. The proposed method exploits the closed caption data to locate semantically meaningful highlights in a news video and speech signals in an audio stream to align the closed caption data with the video in a time-line. Then, the detected highlights are described using MPEG-7 Summarization Description Scheme, which allows efficient browsing of the content through such functionalities as multi-level abstracts and navigation guidance. Multimodal search and retrieval are also within the proposed framework. By indexing synchronized closed caption data, the video clips are searchable by inputting a text query. Intensive experiments with prototypical systems are presented to demonstrate the validity and reliability of the proposed method in real applications.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.560-573
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• 2016

Endeavors have been made for the last decades to make resources of local myths and legendary tales among local culture contents. Jeju as well has made efforts to develop diverse legendary tales as content products. However, there has yet to yield any visible outcome in any region, and they still remain as mascots only for festivals and/or local events. This is because there is a lack of culture content development infrastructure, and that there is absence of strategic approach to regional culture content development plans. Based on these problems, this study establishes development strategies for legendary tale resources focusing on Chasabonpuri, one of Jeju legendary tales, and explores as what types of popular culture contents it can be developed.

• Environmental Engineering Research
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• v.25 no.1
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• pp.80-87
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• 2020

Landfill waste decomposition generates a dark effluent named, leachate which is characterized by high organic matter content. To minimize these polluting effects, it becomes necessary to develop an effective landfill leachate treatment process. The objective of this study was to evaluate the performance of an innovative approach based on air stripping, anaerobic digestion (AD) and aerobic activated sludge treatment. A reduction of 80% of ammonia and an increase of carbon to nitrogen ratio to 25 were obtained, which is a suitable ratio for AD. This latter AD was performed in fixed bed reactor with progressive loading rate that reached 2 and 3.2 g COD/L/d for the raw and diluted leachate (1:2), respectively. The anaerobic treatment led to significant removal of chemical oxygen demand (COD) and biogas production, especially for the diluted leachate. The COD removal was of 78% for the raw leachate and a biogas production of 4 L/d with 70% methane content. The use of the diluted leachate led to 81% of COD removal and 7 L/d biogas with 75% methane content. It allowed a removal of 77% COD and more than 97% of the organic compounds present in the initial leachate sample.

• Journal of Sport and Applied Science
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• v.4 no.3
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• pp.1-10
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• 2020

Purpose: This study is to explore which genre of sports culture contents will show the most consistent growth in the future and analyse the development outlook based on those results. Research design, data, and methodology: Case study was used for this research as it seemed to be the most appropriate approach in order to obtain the most complete and meaningful information from a particular phenomenon. A total of 15 participants were chosen to participate in a semi-structured in-depth interview and the recordings were typed out as text. In order to ensure validity and credibility of findings, peer and member check were conducted. Results: As a result, the sports culture content that is most likely to consistently grow in the future is games. Additionally, it is expected that sports culture contents will develop as new categories of sports culture contents emerge, as the evolution of sports culture content occurs through the combination with technology, as well as the activation of sensual sports contents, and the production of sports culture contents utilizing big data. Conclusions: It is concluded that convergence of sport, cultural contents, and technology will promptly progress, and it will promote the development of sport culture contents and related industry.

• Journal of Korea Game Society
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• v.20 no.2
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• pp.113-122
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• 2020

This study is the research tendency(2016~2019) on the content and the intelligent information technology. After the IIT emerged as a social topic, related research increased, and interest in VR and AR was the highest. In games, more research has been done on VR and AR. In the case of big data technology, it was a tendency to pay attention to the study of movie contents. Many studies have attempted a technological approach to IIT. With regard to artificial intelligence technology, there were differences by technology and content area, mainly viewed from a legal and institutional perspective.