• Proceedings of the IEEK Conference
• /
• 2000.11a
• /
• pp.53-56
• /
• 2000

In this paper, the architecture for the residential gateway is designed for the traffic statistics of home environment. The suitability of 10 Mbps power line communication is investigated for the control and the video data distribution through simulation. The design issues are discussed for a residential gateway and the network design that is based on the power line communication is presented. Traffic models are established from the actual traffic traces. They are used for performance evaluation of residential networks.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
• /
• 2003.10a
• /
• pp.53-59
• /
• 2003

The Study of Hansun(Traditional Fishing Boat of Korea) is based on Fishing Bost Investigation Report which began in 1921. The Report was completed in 1927 with the conclusion of Southern sea Region and Western sea Region studies which included the investigation of the entire region. Based on this report, this paper surveys Hansun's characteristics style of boat and performance. The First couple of chapters are possibility of combining type of Hansun and modern Sailing Boat. As a result we find out that the hull form of Hansun is very similar with that of modern sailing boats and is a good candidate for the mother ship to develop the modern sailing boats for Korean sea.

• Journal of the Korean Data and Information Science Society
• /
• v.21 no.1
• /
• pp.51-59
• /
• 2010

In the case that the regression function has a discontinuity point in generalized linear model, Huh (2009) estimated the location and jump size using the log-likelihood weighted the one-sided kernel function. In this paper, we consider estimation of the unknown number of the discontinuity points in the regression function. The proposed algorithm is based on testing of the existence of a discontinuity point coming from the asymptotic distribution of the estimated jump size described in Huh (2009). The finite sample performance is illustrated by simulated example.

• Journal of the Korean Data and Information Science Society
• /
• v.17 no.2
• /
• pp.569-579
• /
• 2006

Recently, the amount of genome sequence is increasing rapidly due to advanced computational techniques and experimental tools in the biological area. Sequence comparisons are very useful operations to predict the functions of the genes or proteins. However, it takes too much time to compare long sequence data and there are many research results for fast sequence comparisons. In this paper, we propose a hybrid grid system to improve the performance of the sequence comparisons based on the LanLinux system. Compared with conventional approaches, hybrid grid is easy to construct, maintain, and manage because there is no need to install SWs for every node. As a real experiment, we constructed an orthologous database for 89 prokaryotes just in a week under hybrid grid; note that it requires 33 weeks on a single computer.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.11
• /
• pp.5321-5334
• /
• 2019

Data mining technology is frequently used in identifying the intention of users over a variety of information contexts. Since relevant terms are mainly hidden in text data, it is necessary to extract them. Quantification is required in order to interpret user preference in association with other structured data. This paper proposes rating and comments mining to identify user priority and obtain improved ratings. Structured data (location and rating) and unstructured data (comments) are collected and priority is derived by analyzing statistics and employing TF-IDF. In addition, the improved ratings are generated by applying priority categories based on materialized ratings through Sentiment-Oriented Point-wise Mutual Information (SO-PMI)-based emotion analysis. In this paper, an experiment was carried out by collecting ratings and comments on "place" and by applying them. We confirmed that the proposed mining method is 1.2 times better than the conventional methods that do not reflect priorities and that the performance is improved to almost 2 times when the number to be predicted is small.

• Journal of Institute of Control, Robotics and Systems
• /
• v.14 no.8
• /
• pp.740-744
• /
• 2008

In this paper, we propose a new time-to-go estimation filter for PN guided missiles. The proposed estimator is derived based on the approximation of the length of the PNG homing trajectory that we newly introduced using the special coordinate system. The coordinate system is convenient for taking the target movement into account. In addition, compared with the previous time-to-go estimation techniques, the parameters required for evaluating the length can be obtained only with the seeker measurements. Moreover, the seeker measurement error statistics can effectively be considered since our filter is derived based on the Kalman filter theory. Simulation result for a typical anti-ship see-skimming missile homing trajectory shows the excellent performance of the proposed filter.

• Proceedings of the IEEK Conference
• /
• 2001.06a
• /
• pp.317-320
• /
• 2001

Blind adaptive channel identification of communication channels is a problem of important current theoretical and practical concerns. Recently proposed solutions for this problem exploit the diversity induced by antenna array or time oversampling leading to the so-called, second order statistics techniques. And adaptive blind channel identification techniques based on a off-line least-squares approach have been proposed. In this paper, a new approach is proposed that is based on eigenvalue decomposition. And the eigenvector corresponding to the minimum eigenvalue of the covariance matrix of the received signals contains the channel impulse response. And we present a adaptive algorithm to solve this problem. The performance of the proposed technique is evaluated over real measured channel and is compared to existing algorithms.

• Journal of Distribution Science
• /
• v.10 no.11
• /
• pp.55-60
• /
• 2012

Purpose - This study aims to suggest policy directions for small retail markets in Korea by statistical analysis, which would help small retailers who are facing various difficulties. Research design, data, methodology - This study diagnoses the problems faced by small retail industries in Korea based on government statistics. In addition, this study identifies three areas for successful collaboration between the SSMs and traditional markets-information distribution, products, and fair trade. Results - This study makes three recommendations-information distribution, products, and fair trade. This includes activation of the existing mutual collaboration efforts, channels, CSR report writing and publicity, ethical management cooperation seminars, contract systems of no return, establishment of staff outsourcing standards, and support for suppliers' organizations. Conclusions - Our suggestions for a collaborative system (based on the three suggestions) show that collaboration rather than confrontation between large and small markets can lead to a sales increase of 2,258.2 billion Won, which is equivalent to the sales loss in 11 traditional markets in one year in Busan.

• The Korean Journal of Applied Statistics
• /
• v.21 no.6
• /
• pp.997-1006
• /
• 2008

This paper proposes a new model by combining an infinite-server queueing model for multi-task processing software system with a perfect debugging model based on Markov process with two types of faults suggested by Lee et al. (2001). We apply this model for module and integration testing in the testing process. Also, we compute several measure, such as the expected number of tasks whose processes can be completed and the task completion probability are investigated under the proposed model.

• Proceedings of the IEEK Conference
• /
• 2002.07c
• /
• pp.1420-1423
• /
• 2002

The classification and recognition of two-dimensional trademark patterns independently of their position, orientation, size and scale by proposing two feature vectors has been discussed. The paper presents experimentation on two feature vectors showing size- invariance and scale-invariance respectively. Both feature vectors are equally invariant to rotation as well. The feature extraction is based on local as well as global statistics of the image. These feature vectors have appealing mathematical simplicity and are versatile. The results so far have shown the best performance of the developed system based on these unique sets of feature. The goal has been achieved by segmenting the image using connected-component (nearest neighbours) algorithm. Second part of this work considers the possibility of using back propagation neural networks (BPN) for the learning and matching tasks, by simply feeding the feature vectosr. The effectiveness of the proposed feature vectors is tested with various trademarks, not used in learning phase.