• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.271-275
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• 2005

Queueing models are good models for fragments of communication systems and networks, so their investigation is interesting for theory and applications. Theses queues may play an important role for the validation of different decomposition algorithms designed for investigating more general queueing networks. So, in this paper we illustrate that the batch size distribution affects the loss probability, which is the main performance measure of a finite buffer queues.

• International Commerce and Information Review
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• v.8 no.4
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• pp.3-22
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• 2006

Recently, the use of digital contents and demand have been increased with expanding users of internet. Thus, the importance of digital contents distribution site's has been increased that deal in commercially. The model that measuring acceptance of web sites is studying lively, however, the web sites that dealing and distributing specific goods to be called digital contents have insufficient theoretical base and model about acceptance of customers. Also, the research that acceptance of existing commercial web sites have limitation to explain systematically which influence on acceptance of digital contents distribution sites. Because, those research connect directly the feature of web sites, the purchase of web sites or the feature of buyers and acceptance. For that reason, it's hard to reflect the feature of digital contents. In this research, to measure customers' acceptance of web sites that distribute digital image, it is based on Technology Acceptance Model by Davis. This research find out the significant cause from survey by users of digital image distribution site. and TAM which has been adapted the analyzation of new site's acceptance can explain the state of digital image distribution site use. This research let us know the evaluation of digital image distribution site and operating strategy as a new business model.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.2
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• pp.19-27
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• 2007

Broadcasting contents protection system for HDTV has many difficult to apply file encryption technology that using the existing DRM systems. Therefore, this system has to be processed as accommodative about broadcasting contents format such as TS and PS and so on. Also, this system must support efficient encryption technology and random access mode. In addition, this system must have suitable key distribution mechanism in broadcasting environment. In this paper, we propose and implement encryption/key distribution scheme applicable to encoder/decoder without changing the existing MPEG system.

• Journal of Distribution Science
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• v.5 no.1
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• pp.57-73
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• 2007

There are more problems in distributing agricultural and special products than industrial products because they have such restrictions as seasonal fluctuation in the quantity, indeterminate and diverse shapes, many farm households, a small amount of shipment, and mandatory guide and maintenance. However, with social atmosphere called well-being, there are increasing concerns about inorganic agricultural products and direct trade with farmers. It is therefore urgent to stabilize the price of agricultural and special products and to correctly grasp and improve logistics activities for those dealing with agricultural and special products in order to supply fresh ones. This study aimed at examining logistics activities and the information technology level for agricultural and special products, determining how these factors affect logistics performance, and eventually suggesting a scheme to improve the logistics achievements for agricultural and special products. For this purpose, it selected information technology and logistics activity levels as independent variables and logistics performance as a dependent variable. The information technology level was measured for utility, holding level, and concern, respectively, and the logistics activity level was tested for the level of using the logistics information system in those companies concerned. From the above-mentioned findings, it is urgent to enhance distribution technology and its level immediately since distribution of agricultural and special products is poor in Korea and good distribution can contribute to a reduction of logistics costs or improvement of customer service.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.935-949
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• 2016

In this paper, we present a novel authenticated group key distribution scheme for large and dynamic multicast groups without employing traditional symmetric and asymmetric cryptographic operations. The security of our scheme is mainly based on the basic theories for solving linear equations. In our scheme, a large group is divided into many subgroups, where each subgroup is managed by a subgroup key manager (SGKM) and a group key generation center (GKGC) further manages all SGKMs. The group key is generated by the GKGC and then propagated to all group members through the SGKMs, such that only authorized group members can recover the group key but unauthorized users cannot. In addition, all authorized group members can verify the authenticity of group keys by a public one-way function. The analysis results show that our scheme is secure and efficient, and especially it is very appropriate for secure multicast communications in large and dynamic client-server networks.

• Journal of Information Technology Applications and Management
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• v.12 no.3
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• pp.1-25
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• 2005

Recently genuine products and good commerce have been threatened by distributing forgery in home and abroad markets. It is because most customers cannot distinguish whether genuine or forgery, so establishing of strict distribution system is needed. Therefore recently Genuine Guarantee System which can confirm genuine products has been developed using the Internet. The object of this system is protecting to purchase forgery by confirming distribution system. This system can provide a reliable environment of consumption. But to be diffused at distribution structure and applied, We require the understanding about not only technical side but behavior side. That is, we need to research the cause and process of using this new information system. in this research, we understand the cause of affection on the system's acceptance and define the suitability about the model according to Technology Acceptance Model by Davis. The above can build the suitable operating strategy and understand the criterion as a new business model.

• Journal of Distribution Research
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• v.3 no.1
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• pp.71-98
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• 1998

This study aimed to investigate how such retailers as department stores, large discount stores, book wholesalers, and clothing wholesalers used information technology for the QR strategy and whether the QR strategy had an effect on performance with a focus on the pipeline strategy. For this purpose, the QR strategy was divided into transaction efficiency, supplier partnership, and customer detail strategy. The differences in performance and information technology were analyzed according to the fit of the pipeline strategy, such as internal focus, supplier focus, and customer focus, the business strategy which were used by the retailers. And, an attempt was made to investigate whether performance was raised according to the level of adopting information technology. The results can be summarized as allows. First, the adaptive level of information technology had an effect on performance. But, seeing that the explanatory power of the regression analysis on the effect of the adaptive level of information technology on performance was shown to be very weak, it is judged that the level of QR information technology in the responding firms was very low compared to that of foreign firms. Second, information technology used by the retailers included universal product code, bar coding, customer database, and information utilities. It was shown that the group of firms seeking the transaction efficiency QR strategy and the internal focus pipeline strategy had the higher level of information technology than the retailers seeking other customer detail QR strategy and the customer focus pipeline strategy and the retailers with inconsistent strategy. This indicates that the firm seeking to raise its internal efficiency has a high level of using information technology. At the end of the paper, managerial implication and future research directions were discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.12
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• pp.4567-4583
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• 2021

This study proposes an analytical approximation algorithm based on extreme value theory (EVT) for the inverse of the power of the incomplete Gamma function. First, the Gumbel function is used to approximate the power of the incomplete Gamma function, and the corresponding inverse problem is transformed into the inversion of an exponential function. Then, using the tail equivalence theorem, the normalized coefficient of the general Weibull distribution function is employed to replace the normalized coefficient of the random variable following a Gamma distribution, and the approximate closed form solution is obtained. The effects of equation parameters on the algorithm performance are evaluated through simulation analysis under various conditions, and the performance of this algorithm is compared to those of the Newton iterative algorithm and other existing approximate analytical algorithms. The proposed algorithm exhibits good approximation performance under appropriate parameter settings. Finally, the performance of this method is evaluated by calculating the thresholds of space-time block coding and space-frequency block coding pattern recognition in multiple-input and multiple-output orthogonal frequency division multiplexing. The analytical approximation method can be applied to other related situations involving the maximum statistics of independent and identically distributed random variables following Gamma distributions.

• Journal of information and communication convergence engineering
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• v.22 no.3
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• pp.221-230
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• 2024

The aim of this study is to investigate the automatic recognition and analysis of Jeju marine-life images using artificial intelligence (AI) technology. The dataset of marine-life images was prepared using tools such as Python, TensorFlow, and Google Colab (Google Colaboratory). We also developed models by training deep learning AI in image recognition to automatically recognize the species found in these images and extract their associated information, such as taxonomy, characteristics, and distribution. This study is innovative in that it uses deep learning technology combined with imagerecognition technology for marine biodiversity research. In addition, these results will lead to the development of the marine-life industry in Jeju by supporting marine environment monitoring and marine resource conservation. Furthermore, this study is anticipated to contribute to academic advancement, specifically in the study of marine species diversity.

• Kyungpook Mathematical Journal
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• v.45 no.3
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• pp.423-431
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• 2005

Some recent inequalities for expectation and cumulative distribution function are improved.