• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.4
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• pp.1024-1034
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• 1998

Most public cryptosystem widely used in communication network are based on the exponentiation-arithmetic. But, cryptosystem has to use bigger and bigger key parameter to attain an adequate level of security. This situation increases both computation and time delay. Montgomery, yang and Kawamura presented a method by using the pre-computation, intermediately computing and table look-up on modular reduction. Coster, Brickel and Lee persented also a method by using the pre-computation on exponentiation. This paper propose to reduce computation of exponentiation with spare prime. This method is to enhance computation efficiency in cryptosystem used discrete logarithms.

• Journal of the Korea Institute of Military Science and Technology
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• v.2 no.1
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• pp.159-169
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• 1999

Recently a firewall is being employed to protect hacking by controlling the traffics. The security services in the firewall include authentication, access control, confidentiality, integrity, and audit trail. A token is adapted for authentication to the firewall. A token has a small battery within which has restricted power capacity, This paper proposes a novel cost-effective firewall token for hacking protecting on transmission control protocol/internet protocol (TCP/IP) based network. This paper proposes a fast exponentiation method with a sparse prime that take a major operation for a public-key crypto-system and a major power consumption in the token. The proposed method uses much less amount of modular operations in exponentiation that is reduced of battery's capacity or CPU's price in the token.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4B
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• pp.394-402
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• 2009

In this paper, we present a new analytical model for estimating the blocking performance of multi-fiber WDM networt:s with sparse and limited wavelength conversion (SLWC). The proposed model is a reduced-load approximation model that can obtain accurate estimates of blocking probability of such networks. Our model employs three new recurrence formulae to obtain the free wavelength distribution on a multi-fiber link, the free wavelength distribution after limited-range wavelength conversion and the end-to-end blocking probability of a multi-hop path, respectively. From the numerical results on the NSFNET, we demonstrate that the blocking performance of two-fiber NSFNET with three wavelength-convertible nodes, each of which translates an input wavelength to its adjacent output wavelengths, closely approximates the blocking performance of full wavelength conversion.

• Journal of Broadcast Engineering
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• v.27 no.4
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• pp.487-498
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• 2022

Depth map is an image that contains distance information in 3D space on a 2D plane and is used in various 3D vision tasks. Many existing depth estimation studies mainly use narrow FoV images, in which a significant portion of the entire scene is lost. In this paper, we propose a technique for generating 360° omnidirectional RGBD images from a sparse set of narrow FoV images. The proposed generative adversarial network based image generation model estimates the relative FoV for the entire panoramic image from a small number of non-overlapping images and produces a 360° RGB and depth image simultaneously. In addition, it shows improved performance by configuring a network reflecting the spherical characteristics of the 360° image.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.5
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• pp.15-24
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• 2009

Compressed sensing addresses the recovery of a sparse vector from its few linear measurements. Recently, the success for the vector case has been extended to the matrix case. Compressed sensing of low-rank matrices solves the ill-posed inverse problem with fie low-rank prior. The problem can be formulated as either the rank minimization or the low-rank approximation. In this paper, we survey recently proposed efficient algorithms to solve these two formulations.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.501-514
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• 2023

When analyzing high dimensional data such as text data, if we input all the variables as explanatory variables, statistical learning procedures may suffer from over-fitting problems. Furthermore, computational efficiency can deteriorate with a large number of variables. Dimensionality reduction techniques such as feature selection or feature extraction are useful for dealing with these problems. The sparse principal component analysis (SPCA) is one of the regularized least squares methods which employs an elastic net-type objective function. The SPCA can be used to remove insignificant principal components and identify important variables from noisy observations. In this study, we propose a dimension reduction procedure for text data based on the SPCA. Applying the proposed procedure to real data, we find that the reduced feature set maintains sufficient information in text data while the size of the feature set is reduced by removing redundant variables. As a result, the proposed procedure can improve classification accuracy and computational efficiency, especially for some classifiers such as the k-nearest neighbors algorithm.

• Applied Microscopy
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• v.14 no.2
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• pp.29-37
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• 1984

Morphological changes of the epithelium of the endometrium by prolonged treatment of $17{\beta}$-estradiol or progesterone in ovariectomized rats was studied at the ultrastructural level. The epithelium of the endometrium in ovariectomized rats was characterized by the appearance of a number of vacuoles which was contained with the membraneous structures, lipid droplets and the others. The epithelium was low cuboidal, and a few short microvilli were present at the cell surface. Secretory granules are rarely found. After estradiol treatment, the epithelium was high columnar in shape. The mitochondria was appeared throughout the cytoplasm, however, long or swelling mitochondria was often found. Golgi apparatus and rER were relatively well-developed. Relatively long and sparse microvilli were present at the cell surface. After progesterone treatment, the epithelium was characterized by the appearance of numerous vesicles at the apical region and numerous lipid droplets at the subnuclear region. At the cell surface a number of short and blunt microvilli were found. These data indicated that the endometrium was dependent on estrogen and progesterone for changes in both its morphological and functional state and suggested that each hormone exerted a unique effect on the epithelial cells.

• Korean Journal of Plant Taxonomy
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• v.42 no.1
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• pp.76-79
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• 2012

An unrecorded species, Poa tuberifera Faurie ex Hack., was found in Saryeoni forest, Jocheon-eup, Jeju-si, Jeju-do. It can be distinguished from P. acroleuca Steud. and P. acroleuca var. submoniliformis Makino by its morphological characteristics, with panicle branches bearing sparse spikelets and lemmas not wavy-haired at the base. P. tuberifera is known to be an endemic plant of Japan, but its distribution in South Korea is confirmed through the present study.

• Applied Microscopy
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• v.31 no.2
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• pp.157-165
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• 2001

Sertoli cells in the normal adult testis are nondividing cells, which are relatively inconspicuous on cross section of the seminiferous tubule and comprise about 10% to 15% of the tubular cellular elements. Ultrastructurally, Sertoli cells have characteristic nucleoli, plasma membrane, and cytoplasmic components. The plasma membrane has two types of intercellular junctions which are developed at puberty: junctions between adjacent Sertoli cells and Sertoli cell-germ ceil junction. However, the ultrastructural findings of Sertoli cells in human fetus is not fully elucidate yet. In the present study, human fetal testes ($14\sim27$ weeks) obtained from artificially induced abortions legally without gross malformation were studied using transmission electron microscopy to make clear the differentiation process of Sertoli cells in human. In human fetal testes from 14 weeks to 27 weeks, the cell junctions of Sertoli-germ cells and Sertoli-Sertoli cells are desmosome like structure and not tight junction or desmosome. The Overall intracytoplasmic organelles of Sertoli cells are relatively sparse. The mitochondrias are relatively abundant but no developed cristae. And the rough endoplasmic reticuli are abundant and smooth endoplasmic reticuli are sparse. The amount of lipid droplets are regularly observed in human fetal Sertoli cells. No microfilaments or Charcot-Bottcher's crystalloids are present. From the results, Sertoli cells in human fetal testes are somewhat different ultrastructural findings with puberty or adult. However, to make clear the differentiation process of Sertoli cells in human, further study for 28 weeks to puberty is required.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.1-7
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• 2021

In this paper, we propose a feature selection technique for multi-label classification. Many existing feature selection techniques have selected features by calculating the relation between features and labels such as a mutual information scale. However, since the mutual information measure requires a joint probability, it is difficult to calculate the joint probability from an actual premise feature set. Therefore, it has the disadvantage that only a few features can be calculated and only local optimization is possible. Away from this regional optimization problem, we propose a feature selection technique that constructs a low-rank space in the entire given feature space and selects features with sparsity. To this end, we designed a regression-based objective function using Nuclear norm, and proposed an algorithm of gradient descent method to solve the optimization problem of this objective function. Based on the results of multi-label classification experiments on four data and three multi-label classification performance, the proposed methodology showed better performance than the existing feature selection technique. In addition, it was showed by experimental results that the performance change is insensitive even to the parameter value change of the proposed objective function.