• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1193-1200
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• 2000

A network topology has been an important factor for an efficient network management, but data collection for the network configuration has been done manually or semi automatically by a network administrator or an expert. Requirements to generate an intro-domain network topology ar usually either all IP addresses with subne $t^ernet mask or the network identification of all IP addresses. The amounts of traffic are generally high in the semi-automatic system due to using large number of low-level protocols and commands to get rather simple data. In this paper, we propose an algorithm which can be executed with only publicly available input. It can find all IP addresses as well as the network boundary of an intra-domain by using an intelligent method developed in this algorithm. The collected data will be used to draw a network map automatically by using a proposed network topology generation algorithm.hm.

• Journal of Korea Society of Industrial Information Systems
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• v.3 no.1
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• pp.49-65
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• 1998

The trend toward globalization and competitive advantage is increasing the importance of international data communication . The more companies attempt to be globalized and competitive, the more critical the problems of the computer networks are. To improve computer networks in the business world, it is believed that the network shoud be approached from the viewpoint of service quality : we need to understand what network quality means to network users, those who use the network. The purpose of this study is to develop a dimension that captures the aspects of network quality that are important to network users. Many articles show that speed is very important factor in network systems. But the more important thing is that speed is just one of the factors contributing to network quality. It is suggested that a quality network meet nine dimensions : (1) speed (2) accessibility (3) connectivity (4) security (5) compatibility, (6) government restrictions (7) complexity (8) sustainability and (9) sharability.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.171-188
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• 2015

Logistics network has been increasingly acknowledged as one of the important driving force for economic development in China. With the scope of logistics effect broadening and the development of logistics infrastructure, both logistics network and economy in terms of GDP in China has experienced rapid development hand in hand. This paper investigates the relationship between logistics network and economic growth, using a dataset covering 31 provinces over the period from 2003 to 2012 in China. Factor analysis is applied to obtain a total evaluation of logistics function defining the impact of logistics network on the national economy growth. According to fixed effect panel data approach, a significant and positive impact of logistics network on economic growth in China is found, meanwhile, a comparative analysis regarding economic development between coastal provinces and interior provinces is also conducted. The results suggest that the impact of logistics network on economic growth is higher in eastern provinces than that in western provinces. The policy implication for other nations, in particular for developing nations, is logistics network should be regarded as an important driving force for economic development, and investment should be made in advance to achieve the best efficiency in economic development and planning.

• International Commerce and Information Review
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• v.9 no.2
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• pp.257-283
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• 2007

As Global industrial structure is diversified, multinational corporations accomplished fast internationalization to introduction of new management policy by development of an IT technology. Enterprise' business environment is changing transcending border. To overcome raging waves of change accident and to be secured enterprise's future, the logistics is recognized the third profit source joining in curtailment of sale enlargement, production cost. To seek cost saving or reform in logistics class that is last area of pursuit of profits within ancient city life in the fast lane from these viewpoint, importance of study that integrates and manages international logistics bases supply neck walk is emphasized. Specially, to meet on in terms of competitive power security regarding curtailment of logistics cost is available through link between logistics bases, various consumer's request, merchandise and service logistics management that supply fixed quantity as is reliable in right place at good season was embossed by point game plan of business management, and SCM efficiency anger of mortification international logistics activity importance of study that see at that dominate competitive advantage point bring. This study analyzes interrelation and presents model for integration of international logistics bases supply network with supply network habit at factor and supply chain, and supply network activity in integration of supply chain process and production. Also, it establishes following method of study to achieve study purpose for actual proof analysis for integration sequence of international logistics bases supply network. Specially, immersion of network and supply network, very high interrelation appeared by thing which is with international logistics base supply network integration. The integration of international logistics base supply network means that the enterprises which give trust and sincerity deal with market environment change positively and can decide proceeding of various cooperative work. Also, it means the possibility by necessity of cooperative relation and interdependence to continuous immersion and normative immersion, for the maintain of long business relations.

• The Korean Journal of Physiology and Pharmacology
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• v.14 no.3
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• pp.139-144
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• 2010

In this study, we evaluated the role of apurinic/apyrimidinic endonuclease1/redox factor-1 (Ref-1) on the tumor necrosis factor-$\alpha$ (TNF-$\alpha$) induced cyclooxygenase-2 (COX-2) expression using A549 lung adenocarcinoma cells. TNF-$\alpha$ induced the expression of COX-2 in A549 cells, but did not induce BEAS-2B expression. The expression of COX-2 in A549 cells was TNF-$\alpha$ dose-dependent (5~100 ng/ml). TNF-$\alpha$-stimulated A549 cells evidenced increased Ref-1 expression in a dose-dependent manner. The adenoviral transfection of cells with AdRef-1 inhibited TNF-$\alpha$-induced COX-2 expression relative to that seen in the control cells ($Ad{\beta}gal$). Pretreatment with $10\;{\mu}M$ of SB203580 suppressed TNF-$\alpha$-induced COX-2 expression, thereby suggesting that p38 MAPK might be involved in COX-2 expression in A549 cells. The phosphorylation of p38 MAPK was increased significantly after 5 minutes of treatment with TNF-$\alpha$, reaching a maximum level at 10 min which persisted for up to 60 min. However, p38MAPK phosphorylation was markedly suppressed in the Ref-1-overexpressed A549 cells. Taken together, our results appear to indicate that Ref-1 negatively regulates COX-2 expression in response to cytokine stimulation via the inhibition of p38 MAPK phosphorylation. In the lung cancer cell lines, Ref-1 may be involved as an important negative regulator of inflammatory gene expression.

• Journal of Advanced Navigation Technology
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• v.22 no.1
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• pp.37-42
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• 2018

Recently, there have been many studies on the IoT environment in which the sensors attached to the equipment automatically transmit and process the site information in real time through the network to control the equipment. The core of such a system is a network for data transmission and reception, and a wired network with wide transmission distance is a priority. However, in the case of a wired network, there is a problem that the time and cost consumed to configure the communication is higher than that of the wireless. In this paper, we propose LPWA - based wireless data transmission system using LPWA and BLE communication to solve this problem. The proposed system collects data from equipment through BLE and transmits data to the server using LPWA. Experimental results show that the spreading factor of maximum length of LPWA is 8, and the minimum length is 9.

• The KIPS Transactions:PartD
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• v.10D no.7
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• pp.1207-1212
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• 2003

As development of the e-commerce, the distributing network for a logistics currency is more complicated. A management of the distributing network (DN) is important factor in distribution planning. The DN can be expressed to distribution center (DC) and the interaction of DC. An internal factor of DC and an external factor to occur by an interaction of DC have many influences on the DN. Therefore, for an efficient DN management plan, analysis of the DN that considered DC and an interaction of DC is required. Until now a study on a viewpoint of supply chain management as resources assignment was performed, but the study on analysis of the distribution network was not performed. This paper propose the distribution network analysis technique that considered DC and an interaction of DC. A proposed technique consists of two steps largely. First of all a DN is expressed with the graph that included an interaction of DC and DC. It uses a reachibility tree, and the following, a DN expressed with a graph is analyzed. Also we presented an example model, and show an usefulness of proposal technique with the analysis of this model.

• Korean Journal of Materials Research
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• v.11 no.2
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• pp.146-150
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• 2001

Electromagnetic simulation was compared to the measurement with a network analyzer in the cavity resonator method which has been used for determining microwave quality factor. Scattering matrix $S_{12}$ obtained from the network analyzer was compared to the $S_{12}$ obtained from the simulation. The effects of the pore and the secondary phase of the dielectric resonator on the microwave quality factor were studied. From the simulated results, the dominant resonant $TE_{01\delta}$ mode was determined and the quality factor was observed to decrease with the pore and the secondary phase in the dielectrics.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.2
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• pp.77-86
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• 2004

In general, small-sized neural networks, even though they show good generalization performance, tend to fail to team the training data within a given error bound, whereas large-sized ones learn the training data easily but yield poor generalization. Therefore, a way of achieving good generalization is to find the smallest network that can learn the data, called the optimal-sized neural network. This paper proposes a new scheme for network pruning with ‘impact factor’ which is defined as a multiplication of the variance of a neuron output and the square of its outgoing weight. Simulation results of function approximation problems show that the proposed method is effective in regression.