• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1101-1108
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• 2015

This study provides the importance and value of selection and dissemination of Korean proven bulls by analyzing an economic impact. The results of economic impact analysis show that selection and dissemination of Korean proven bulls have a significant role in development of Korean bulls industry. The results of this study we found that the economic effect was 498.49billion won based on the condition of over grade 1. And the economic effect was 521.22 billion won based on the condition of over grade 2. It also insists that a continuous research and development of selection and dissemination of Korean proven bulls is needed for development of Korean bulls industry.

• Environmental and Resource Economics Review
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• v.12 no.4
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• pp.611-635
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• 2003

This study deals with the "Dissemination Stage", the final step in the R&D process consisting of R&DDD($R&D^3$ : Research & Development, Demonstration, Dissemination). At the "Dissemination Stage", the newly configured technical design is compared with other alternatives to come up with the most desirable selection. The assessment conducted at this stage is not a simple procedure. It goes through the complex evaluation process in which various elements including economic effects and technical characteristics are considered. The reason for taking such a complex procedure is that the assessment, selection and application of the desirable technical alternative is critical for the company's competitive edge in every field of industrial sectors, thus influencing its survival and continuous growth. This study reviews the AHP method for assessing technical alternatives of the heat supply system design. And, to show the practical validity of the AHP method, it is applied to the evaluation of waste heat system alternatives in the field of energy supply system technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.543-548
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• 2017

In the conventional algorithm, the D2D message dissemination algorithm based on the Epidemic routing protocol frequently causes a problem of duplication of the received messages due to the overlaps of D2D transmission coverages. It is because all D2D devices that receive the messages perform relaying the message replicas to other D2D devices within their transmission range. Therefore, we herein propose the farthest-k relay selection algorithm to mitigate this message duplication problem. In the farthest-k relay selection algorithm, less than k devices within the D2D transmission range perform message relay. Furthermore, we perform comparative performance analysis between the conventional D2D data dissemination algorithm and our farthest-k relay selection algorithm. By using intensive MATLAB simulations we prove the performance excellency of our farthest-k relay algorithm compared with the conventional algorithm with respect to coverage probability, the total number of initially and duplicately received messages, and transmission efficiency.

• ETRI Journal
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• v.31 no.1
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• pp.31-41
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• 2009

Optical burst switching is a promising switching paradigm for the next IP-over-optical network backbones. However, its burst loss performance is greatly affected by burst contention. Several methods have been proposed to address this problem, some of them requiring the network to be flooded by frequent state dissemination signaling messages. In this work, we present a traffic engineering approach for path selection with the objective of minimizing contention using only topological information. The main idea is to balance the traffic across the network to reduce congestion without incurring link state dissemination protocol penalties. We propose and evaluate two path selection strategies that clearly outperform shortest path routing. The proposed path selection strategies can be used in combination with other contention resolution methods to achieve higher levels of performance and support the network reaching stability when it is pushed under stringent working conditions. Results show that the network connectivity is an important parameter to consider.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.317-326
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• 2016

The main purposes of this study were to segment Chinese consumers who purchase fashion products through internet commerce according to internet shopping values, to compare their online word-of-mouth acceptance and dissemination behavior, and to examine the demographic characteristics and purchase behavior of the segments. 715 questionnaires were collected through internet survey from January $19^{th}$ to March $16^{th}$, 2015 and a total of 488 were used for the final data analysis. The respondents were twenty to thirty nine years old men and women living in all over China. Hedonic and utilitarian shopping values were identified through factor analysis and based on the shopping values, the respondents were categorized into four groups-ambivalent shopping value group, hedonic shopping value group, utilitarian shopping value group and indifferent group. Among these groups, there were significant differences in terms of online word-of-mouth acceptance as well as dissemination level and motivation. In overall, ambivalent shopping value group showed high online word-of-mouth acceptance as well as dissemination motivation. The groups also showed significant differences in clothing selection criteria, frequently purchased internet shopping sites, online clothing shopping frequency and information sources. The groups also differed in terms of age, residential area, education level, occupation and income. However, there were no significant differences in gender and marital status among the groups.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.287-292
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• 2015

In this paper, we evaluated the performance of D2D advertisement dissemination algorithms with maximum-distance and transmission-efficiency based relay selections with respect to the total number of successfully received users and transmission efficiency. To assume more practical environment, we took into account pre-defined target-areas based on the information of user density and the limit for the maximum number of relay users. Through the simulations we compared the performance results of both D2D advertisement dissemination algorithms with maximum-distance and transmission-efficiency based relay selections according to increment of the number of sectors. And then, we analysed the superiority of algorithm with transmission-efficiency based relay selections more than maximum-distance based relay selections.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.4
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• pp.721-727
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• 2016

In this paper, in order to resolve the problem of reduction for D2D (device to device) advertisement dissemination efficiency of conventional dissemination algorithms, we here propose several clustering algorithms (modified single linkage algorithm (MSL), K-means algorithm, and expectation maximization algorithm with Gaussian mixture model (EM)) based advertisement dissemination algorithms to improve advertisement dissemination efficiency in D2D communication networks. Target areas are clustered in several target groups by the proposed clustering algorithms. Then, D2D advertisements are consecutively distributed by using a routing algorithm based on the geographical distribution of the target areas and a relay selection algorithm based on the distance between D2D sender and D2D receiver. Via intensive MATLAB simulations, we analyze the performance excellency of the proposed algorithms with respect to maximum number of relay transmissions and D2D user density ratio in a target area and a non-target area.

• Environmental and Resource Economics Review
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• v.15 no.3
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• pp.451-477
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• 2006

At the "Dissemination Stage", the newly configured technical design is compared with other alternatives to come up with the most desirable selection. The assessment conducted at this stage is not a simple procedure. It goes through the complex evaluation process in which various elements including economic effects and technical characteristics are considered. The reason for taking such a complex procedure is that the assessment, selection and application of the desirable technical alternative is critical for the company's competitive edge in every field of industrial sectors, thus influencing its survival and continuous growth. This study reviews the MAUT method for assessing technical alternatives of the thermal supply system design. And, to show the practical validity of the MAUT method, it is applied to the evaluation of thermal supply system alternatives in the field of energy supply system technology.

• IEMEK Journal of Embedded Systems and Applications
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• v.5 no.1
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• pp.39-45
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• 2010

As wireless sensor network are being deployed in a wide variety of application areas, the number of sensor nodes in a sensor filed becomes larger and larger. In the past, ISP (In-System Programming) method have been generally used for code update but the large number of sensor nodes requires a new code update method called network reprogramming. There are many challenging issues for network reprogramming since it can make an impact on the network lifetime. In this paper, a new sender selection scheme for network reprogramming protocol is proposed to decrease energy consumption for code update by minimizing overlapped area between sender nodes and reducing data contention. Simulation results show that the proposed scheme can reduce the amount of message traffic and the overall data transmission time.

• Journal of Computing Science and Engineering
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• v.6 no.3
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• pp.227-242
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• 2012

Vehicular Ad Hoc Networks (VANETs) are highly dynamic and unstable due to the heterogeneous nature of the communications, intermittent links, high mobility and constant changes in network topology. Currently, some of the most important challenges of VANETs are the scalability problem, congestion, unnecessary duplication of data, low delivery rate, communication delay and temporary fragmentation. Many recent studies have focused on a hybrid mechanism to disseminate information implementing the store and forward technique in sparse vehicular networks, as well as clustering techniques to avoid the scalability problem in dense vehicular networks. However, the selection of intermediate nodes in the store and forward technique, the stability of the clusters and the unnecessary duplication of data remain as central challenges. Therefore, we propose an adaptable destination-based dissemination algorithm (DBDA) using the publish/subscribe model. DBDA considers the destination of the vehicles as an important parameter to form the clusters and select the intermediate nodes, contrary to other proposed solutions. Additionally, DBDA implements a publish/subscribe model. This model provides a context-aware service to select the intermediate nodes according to the importance of the message, destination, current location and speed of the vehicles; as a result, it avoids delay, congestion, unnecessary duplications and low delivery rate.