• Journal of Environmental Health Sciences
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• v.26 no.2
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• pp.116-121
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• 2000

This study was performed to investigate the heavy metal contents and distribution in bioorganisms from the estuary area of Mankyeong-Dongjin river. In paddy plant, the average contents of heavy metals were in order of Zn>Cu>Pb>Cr>Cd in all parts. Those of Cd, Cr, Pb and Cu were all highest in the leaf while lowest in the brown rice. The average content of Zn was almost similar in all parts. In the dried muscular parts of shellfish, the average contents of heavy metals were in the range of 1.06~1.95 mg/kg for Cd, 2.93~4.98 mg/kg for Cr, 0.90~1.17 mg/kg for Pb, 8.41~18.58 mg/kg for Cu and 29.81~67.31 for Zn, respectively, In fish(Acanthogobius hasta), the average contents of heavy metals in the dried body parts were in the range of 0.05~0.43 mg/kg for Cd, 0.65~4.59 mg/kg for Cr, 1.01~4.75 mg/kg for Pb and 1.34~4.19 mg/kg for Cu, with high accumulation in bone and head overally.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.643-646
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• 2005

In this paper, we present a service model which serves multimedia contents to end consumer(End-user) that have various mobile communication terminals under a communication & broadcasting converged environment that broadcasting and communication networks are linked. A main feature of this service model is that it has a distribution structure that deliver to end consumer via adaptation of content from production of contents offering End to End (E2E) media QoS and personalized contents consumption. The proposed service model may be used as a reference model for distribution of multimedia content in communication & broadcasting converged environment in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1279-1284
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• 2009

With the advance of multimedia technology, multimedia sharing among multiple devices has become the main issue. This allows users to expect the peer-to-peer distribution of unprotected and protected contents over public network. Inevitably, this situation has caused an incredible piracy activity and Web sites have begun to provide copyrighted A/V data for free. In order to, protect the contents from illegal attacks and distribution, digital right management (DRM) is required. In this paper, we present the minimal cost scrambling scheme for securing the copyrighted multimedia using the data encryption standard (DES) encryption technique. Experimental results indicate that the proposed scrambling techniques achieve a very good compromise between several desirable properties such as speed, security, and file size.

• International Journal of Contents
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• v.2 no.2
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• pp.17-24
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• 2006

The work presented in this paper is divided into two parts. The first part presents finite urn problems which generate truncated negative binomial random variables. Some combinatorial identities that arose from the negative binomial sampling and truncated negative binomial sampling are established. These identities are constructed and serve important roles when we deal with these distributions and their characteristics. Other important results including cumulants and moments of the distributions are given in somewhat simple forms. Second, the distributions of the maximum of two chi-square variables and the distributions of the maximum correlated F-variables are then derived within the negative binomial sampling scheme. Although multinomial theory applied to order statistics and standard transformation techniques can be used to derive these distributions, the negative binomial sampling approach provides more information and deeper insight regarding the nature of the relationship between the sampling vehicle and the probability distributions of these functions of chi-square variables. We also provide an algorithm to compute the percentage points of these distributions. We supplement our findings with exact simple computational methods where no interpolations are involved.

• International Journal of Contents
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• v.3 no.1
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• pp.1-8
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• 2007

The distributions of the minimum correlated F-variable arises in many applied statistical problems including simultaneous analysis of variance (SANOVA), equality of variance, selection and ranking populations, and reliability analysis. In this paper, negative binomial sampling technique is employed to derive the distributions of the minimum of chi-square variables and hence the distributions of the minimum correlated F-variables. The work presented in this paper is divided in two parts. The first part is devoted to develop some combinatorial identities arised from the negative binomial sampling. These identities are constructed and justified to serve important purpose, when we deal with these distributions or their characteristics. Other important results including cumulants and moments of these distributions are also given in somewhat simple forms. Second, the distributions of minimum, chisquare variable and hence the distribution of the minimum correlated F-variables are then derived within the negative binomial sampling framework. Although, multinomial theory applied to order statistics and standard transformation techniques can be used to derive these distributions, the negative binomial sampling approach provides more information regarding the nature of the relationship between the sampling vehicle and the probability distributions of these functions of chi-square variables. We also provide an algorithm to compute the percentage points of the distributions. The computation methods we adopted are exact and no interpolations are involved.

• Journal of Distribution Science
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• v.18 no.3
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• pp.25-36
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• 2020

Purpose: Based on previous researches on social factors of digital item purchase in digital contents distribution platforms such as SNS, we aim to develop the integrated model that accounts for the dynamic and interactive relationship between social structure indicators and digital item purchase. Research design, data and methodology: A PVAR model was used to capture endogenous and dynamic relationships between digital item purchase and network indicators. Results: We find that there exist considerable endogenous and dynamic relationships between digital item purchase and network structure variables. Not only lagged in-degree and out-degree but also in-closeness and out-closeness centrality have significant and positive impacts on digital item purchase. Lagged clustering has a significant and negative effect on digital item purchase. Lagged purchase has a significant and positive impact just on the present in-closeness and out-closeness centrality; but there is no significant effect of lagged purchase on the other two degree variables and clustering coefficient. We also find that both closeness centralities have much higher carryover effect on digital item purchase and that the elasticity of both closeness centralities on the purchase of digital items is even higher than that of other network structure variables. Conclusions: In-closeness and out-closeness are the most influential factors among social structure variables of this study on digital item purchase.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.627-632
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• 2005

The online distribution systems under the wireless environment include many different factors from the conventional offline and wired networks. Furthermore, the multimedia content may be propagated more easily and illegally. The scheme to protect the rights and profits of people related to the copyrights of digital content Is needed. In this paper a framework for content distribution under the wireless environment based on MPEG-21 and UCI application process are proposed. This model can be applied to the digital rights management system and utilized to protect the rights of trading entities in online distribution of electronic commerce.

• Journal of Distribution Science
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• v.20 no.11
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• pp.121-129
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• 2022

Purpose: Artificial intelligence is widely used, particularly in the popular neural network theory called Deep learning. The improvement of computing speed and capability expedited the progress of Deep learning applications. The application of Deep learning in education has various effects and possibilities in creating and managing educational content and services that can replace human cognitive activity. Among Deep learning, Deep fake technology is used to combine and synchronize human faces with voices. This paper will show how to develop e-Learning content videos using those technologies and open-source tools. Research design, data, and methodology: This paper proposes 4 step development process, which is presented step by step on the Google Collab environment with source codes. This technology can produce various video styles. The advantage of this technology is that the characters of the video can be extended to any historical figures, celebrities, or even movie heroes producing immersive videos. Results: Prototypes for each case are also designed, developed, presented, and shared on YouTube for each specific case development. Conclusions: The method and process of creating e-learning video contents from the image, video, and audio files using Deep fake open-source technology was successfully implemented.

• Journal of Distribution Science
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• v.21 no.1
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• pp.107-117
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• 2023

Purpose: This study attempted to confirm the mediating effect of brand experience and to travel brand community satisfaction in the relationship between the characteristics of brand community contents and travel product purchase intention. This study also investigated the moderating role of consumer characteristics. Research design, data and methodology: Based on a total of 381 bytes of data, hypothesis verification was conducted using Smart-PLS 3.2.8 statistical package programs. Results: First, the content community travel brand attributes, personal affordability and creativity are a lingering fragrances on the intended consumers ' shopping trip. Second, information provision, interaction, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through brand community satisfaction. Third, playfulness, vitality, and creativity, which are the characteristics of travel brand community content, influenced consumers' intention to purchase travel products through double mediation of the experience and community satisfaction of brand. Conclusions: Tourism industry managers should be able to market content by forming their own brand community. It is necessary to create an environment in which tourism industry managers can use social media travel brand community content to give discounts to consumers, provide creative, playful and vivid travel information.

• Journal of the Korea Furniture Society
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• v.24 no.1
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• pp.104-112
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• 2013

Monitoring for moisture contents of wooden post member of Un-bong confucian school was performed in 6 months and analyzed to conserve scientifically the wooden culture building and open for common people. In inner post member of the building, variation of moisture contents was very small and upper part had relatively higher moisture contents. In outer post member, moisture contents were changed according to the weather conditions and was relatively high in bottom and upper part. Southern post has lower moisture content than eastern. These results were related to air ventilation in interior, depth of eaves and orientation of the building. In the design, construction and maintenance of wooden building, characteristics of wood should be considered like moisture contents.