• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.224-230
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• 2016

Recently, CCN(Content Centric Network) has been extensively interested in the literature to transfer data traffic efficiently according to the rapid growth of multimedia services on the Internet. CCN is a new networking paradigm to deliver contents efficiently based on the named content not the named or addressed host. This paper presents a mathematical approach for analyzing CCN-caching systems with two routers. Considering the stochastic characteristics of communication networks, the caching system is modeled as a two dimensional Markov chain. This paper analyzes the structural feature of the transition rate matrix in the Markov chain and presents a numerical solution for the CCN-caching performance of the two router system. In addition, various numerical examples are presented.

• Journal of Korea Multimedia Society
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• v.7 no.11
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• pp.1540-1549
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• 2004

In this paper, we propose an algorithm to detect semantic events in golf video using Hidden Markov Model. The purpose of this paper is to identify and classify the golf events to facilitate highlight-based video indexing and summarization. In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on MPEG-7 visual descriptors to acquire parameters of HMM for each event. Experimental results showed that the proposed algorithm provided reasonable detection performance for identifying a variety of golf events.

• The Journal of the Acoustical Society of Korea
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• v.21 no.7
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• pp.641-647
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• 2002

In this paper, we propose the reduction method of the number of parameters in the segmental-feature HMM using trend quantization method. The proposed method shares the trend information of the polynomial trajectories by quantization. The trajectory is obtained by the sequence of feature vectors of speech signals and can be divided by trend and location information. The trend indicates the variation of consequent frame features, while the location points to the positional difference of the trajectories. Since the trend occupies the large portion of SFHMM, if the trend is shared, the number of parameters maybe decreases. To exploit the proposed system the experiments are performed on TIMIT corpus. The experimental results show that the performance of the proposed system is roughly similar to that of previous system. Therefore, the proposed system can be considered one of parameter reduction method.

• Journal of Advanced Navigation Technology
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• v.24 no.6
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• pp.549-556
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• 2020

This paper proposes several suboptimal methods of designing a controller for a networked control system with state feedback where delay due to transmission error and transmission delay is modeled as a Markov process. A stability condition for a control system with Markov delay is found through an equivalent relationship that corresponding delay-dependent Lyapunov-Krasovskii functional has the same form of the Lyapunov function of an augmented control system. Several suboptimal methods of designing a controller from the stability condition are proposed to reduce complexity. A simple numerical experiment shows that a restricted subspace method which limits the search space of a matrix variable to a block diagonal form provides the best tradeoff between the complexity and performance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.266-266
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• 2019

Marine accidents are increasing year by year, and various accidents occur such as engine failure, collision, stranding, and fire. These marine accidents present a risk of large casualties. It is important to prevent accidents beforehand. In this study, we propose a modeling to predict the occurrence of marine accidents by applying the Markov Chain Process that can predict the future based on past data. Applying the proposed modeling, the probability of future marine accidents was calculated and compared with the actual frequency. Through this, a probabilistic model was proposed to prepare a prediction system for marine accidents, and it is expected to contribute to predicting various marine accidents.

• Korean Journal of Cognitive Science
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• v.7 no.2
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• pp.57-73
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• 1996

• 전기의세계
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• v.61 no.1
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• pp.37-41
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• 2012

• Proceedings of the Korea Water Resources Association Conference
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• 2002.05a
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• pp.239-244
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• 2002

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1992.06a
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• pp.186-192
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• 1992

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1991.10a
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• pp.160-160
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• 1991