• Journal of the Chungcheong Mathematical Society
• /
• v.29 no.1
• /
• pp.123-135
• /
• 2016

In this article, we introduce the transforms of Pythagorean and quadratic means of weighted shifts. We then explore how the transforms of weighted shifts behaves, in comparison with the Aluthge transform.

• Journal of the Chungcheong Mathematical Society
• /
• v.30 no.1
• /
• pp.21-29
• /
• 2017

We review a partial trace alternatively defined by the composition of positive linear maps, and see how the partial trace acts on the matrix geometric means. We also study the quantum Tsallis relative entropy under partial trace related with the fidelity.

• Bulletin of the Korean Mathematical Society
• /
• v.38 no.1
• /
• pp.93-100
• /
• 2001

Author proves weak type estimates of the maximal function associated with the Bochner-Riesz means while it is claimed p=2n/(n+1+$2\delta) and 0<\delta\leq(n-1)/2$ that the maximal function is bounded on L^p-{rad}$.

• Proceedings of the KIPE Conference
• /
• 1998.10a
• /
• pp.458-463
• /
• 1998

The paper describes the methods and means of measurement and study of vibrations, stresses and shocks affecting electronic equipment during its use and in the testing stage as well as original units to determine shapes and frequencies of vibrations of functional boards. Particular attention has been given to the development of methods and means to protect sturctures against vibrations and shocks.

• Journal of the Korean Society of Costume
• /
• v.40
• /
• pp.25-35
• /
• 1998

This thesis is a study of Kas ya, robes of buddhist monk, which is having peculiarity among human clothes. I kept my attention mainly on the symbolism of the color of Kas ya. To elucidate this, I chose the principle of T -chi and Yin-yang and Wu-shing as a frame-work of interpretation. In the first place, the original meaning of Kas ya mean a name of peculiar color. The concrete names of the color are color of persimmons juice, brown, yellow tinged with red, radish brown, non-primary color etc. The main motive to dye three robes of buddhist monk from white or primary color to the color of Kas ya was to differentiate buddhist monks from heathen or laymen. Therefore, as luxurious and primary colored cloths was donated to the buddhist monks, they are necessary to discolor them. Accordingly. they established 'non-primary color' as well-mate one for a ascetic. The non-primary color is called discolored color' as a result of discoloring primary colors. The discolored color is a synonym of Kas ya and the process of discoloring is necessary for making robes of buddhist monk. Secondly, discoloring means to mash five primary color. That is say, the process of discoloring means to return five primary colors back to 'profoundity·abstruseness·obscurity, namely darkness' as the source of them. Darkness as a condition amalgamated and not appeared all materials is the source and at the same time the terminus of all colors. Therefore, color of Kas ya symbolizes 'profound color' as the ultimate meaning of discoloring. Thirdly, discoloring garments of buddhist monk symbolize to destroy evil passions and haughtiness arising in ascetic's mind as well as means don't attach to the shaped materials'. Fourthly, discoloring means to return 'color'. namely 'all kinds of shaped material' to the inherent nature. Process of discoloring means to reture to the empty. nya. nya essentially do not make any colors, but over and over again come into being and become extinct as becoming colors. R pa, by one time Yin and the other time Yang'. R pa, color is a metaplasia of nya and nya is discoloring one of all colors. Then, discoloring means R pa is nya, R pa is nya at the same time and Because this is another expression of Dharma the original meaning of Kas ya symbolize true robes. Consequently, Kas ya means truth and beyond time and space do not be changed and conserve the color of the first till now.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.5
• /
• pp.518-523
• /
• 2017

This paper proposes a novel denoising method based on non-local(NL) means. The NL-means algorithm is effective for removing an additive Gaussian noise, but the denoising parameter should be controlled depending on the noise level for proper noise elimination. Therefore, the proposed method optimizes the denoising parameter according to the noise levels. The proposed method consists of two processes: off-line and on-line. In the off-line process, the relations between the noise level and the denoising parameter of the NL-means filter are analyzed. For a given noise level, the various denoising parameters are applied to the NL-means algorithm, and then the qualities of resulting images are quantified using a structural similarity index(SSIM). The parameter with the highest SSIM is chosen as the optimal denoising parameter for the given noise level. In the on-line process, we estimate the noise level for a given noisy image and select the optimal denoising parameter according to the estimated noise level. Finally, NL-means filtering is performed using the selected denoising parameter. As shown in the experimental results, the proposed method accurately estimated the noise level and effectively eliminated noise for various noise levels. The accuracy of noise estimation is 90.0% and the highest Peak Signal-to-noise ratio(PSNR), SSIM value.

• Management & Information Systems Review
• /
• v.31 no.2
• /
• pp.253-272
• /
• 2012

One of the fastest growing sectors in tourism industry is the use of applications from the MICE industry in various parts including business, politics, and cultural exchange due to globalization among the countries. The means-end chain theory suggests that convention participants perceive and judge convention destination as the means to achieving a desired end-state in a given destination selection situation. This study aims at establishing a convention destination's attributes, the benefits of consequences of using it, and the personal values it satisfies. A laddering interview was conducting in order to provide in-depth probing and to elicit responses from 96 visitors. This study presents the unique pyramid-structure of the means-end chain; a model linking perceived convention destination attributes to values. Understanding these concepts provides opportunities for convention destinations to target market segmentation and advertising based on the participants' desired end-states. In conclusion, the major correlations of attributions of the visitors, consequences, and the values are; informativeness(A), activity(A), tourist attraction(A) - sympathy(C), human relations(C) - self-development(V), and fellowship(V).

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.5
• /
• pp.495-503
• /
• 2014

In recent days, a study of the intrusion detection system collecting and analyzing network data, packet or logs, has been actively performed to response the network threats in computer security fields. In particular, Bayesian network has advantage of the inference functionality which can infer with only some of provided data, so studies of the intrusion system based on Bayesian network have been conducted in the prior. However, there were some limitations to calculate high detection performance because it didn't consider the problems as like complexity of the relation among network packets or continuos input data processing. Therefore, in this paper we proposed two methodologies based on K-menas clustering to improve detection rate by reforming the problems of prior models. At first, it can be improved by sophisticatedly setting interval range of nodes based on K-means clustering. And for the second, it can be improved by calculating robust CPT through applying weighted-leaning based on K-means clustering, too. We conducted the experiments to prove performance of our proposed methodologies by comparing K_WTAN_EM applied to proposed two methodologies with prior models. As the results of experiment, the detection rate of proposed model is higher about 7.78% than existing NBN(Naive Bayesian Network) IDS model, and is higher about 5.24% than TAN(Tree Augmented Bayesian Network) IDS mode and then we could prove excellence our proposing ideas.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.5
• /
• pp.57-70
• /
• 2009

A CAD design drawing based on vector data that is very important art work in industrial fields has been considered to content that the copyright protection is urgently needed. This paper presents a watermarking scheme based on k-means++ for CAD design drawing. One CAD design drawing consists of several layers and each layer consists of various geometric objects such as LINE, POLYLINE, CIRCLE, ARC, 3DFACE and POLYGON. POLYLINE with LINE, 3DFACE and ARC that are fundamental objects make up the majority in CAD design drawing. Therefore, the proposed scheme selects the target object with high distribution among POLYLINE, 3DFACE and ARC objects in CAD design drawing and then selects layers that include the most target object. Then we cluster the target objects in the selected layers by using k-means++ and embed the watermark into the geometric distribution of each group. The geometric distribution is the normalized length distribution in POLYLINE object, the normalized area distribution in 3DFACE object and the angle distribution in ARC object. Experimental results verified that the proposed scheme has the robustness against file format converting, layer attack as well as various geometric editing provided in CAD editing tools.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.16 no.2
• /
• pp.371-378
• /
• 2021

In this study, in order to analyze the spatial distribution of cold water occurred in the Southeast Sea of Korea, the K-means clustering method was used to analyze the ocean observatory buoy of Gori and Yangpo and GHTSST Level 4 from 2016 to 2018. The buoy data was used to identify the change in sea water temperature and the cold water occurrence at Gori and Yangpo in the Southeast Sea. As a result, the sea water temperature of Gori and Yangpo decreased equally at the cold water occurrence. Therefore, the reciprocal of the sea water temperature and the variance of SST were compared to see the changes of SST when the cold water occurs. When the reciprocal of the sea water temperature increases, the dispersion of SST also increases. Through this, it can be seen that there is a change in the water temperature distribution of SST in the sea when the cold water occurs. After that, K-means clustering was used to classify the cold water. After analyzing the optimal K value for clustering by using the Elbow method, it was possible to classify a region with cold water. Through this, it is estimated that the spatial distribution and diffusion range of the cold water, and it can be estimated and used in future studies to identify damage caused by the cold water and predict spatial spread.