• Title/Summary/Keyword: Network level

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The Impact of Corporate Capabilities on Management Performance : Focusing on the Korean Distribution Industry during the COVID-19 Pandemic

  • Kil-Yong SEONG;Byoung-Goo KIM;Chun-Su LEE
    • Journal of Distribution Science
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    • v.22 no.3
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    • pp.105-112
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    • 2024
  • Purpose: This study analyzed the relationship between corporate capacity and management performance in the Korean distribution industry during the COVID-19 pandemic. Research design, data and methodology: The data for this study used the 2021 KOTRA GCL Test Data, and multiple regression analysis was performed using SPSS 26. As corporate competency, human capital and related capital of intellectual capital theory were utilized, and the global network level of social network theory was also utilized. As an additional analysis, corporate characteristics factors were used. Results: First, the level of global mindset of human capital acted as a positive factor in management performance, and the level of professional manpower did not achieve significant results. Second, related capital acted as a positive factor in corporate performance. Third, from the perspective of social network theory, the global network level of companies acted as a positive factor in management performance. Finally, the relationship between corporate characteristics and management performance was marginally significant. Conclusions: In order to improve the business performance of a company in a market shock such as the COVID-19 pandemic, it is required to strengthen the level of network construction with customers and increase the level of intellectual capital that a company has.

Semantic Image Segmentation Combining Image-level and Pixel-level Classification (영상수준과 픽셀수준 분류를 결합한 영상 의미분할)

  • Kim, Seon Kuk;Lee, Chil Woo
    • Journal of Korea Multimedia Society
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    • v.21 no.12
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    • pp.1425-1430
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    • 2018
  • In this paper, we propose a CNN based deep learning algorithm for semantic segmentation of images. In order to improve the accuracy of semantic segmentation, we combined pixel level object classification and image level object classification. The image level object classification is used to accurately detect the characteristics of an image, and the pixel level object classification is used to indicate which object area is included in each pixel. The proposed network structure consists of three parts in total. A part for extracting the features of the image, a part for outputting the final result in the resolution size of the original image, and a part for performing the image level object classification. Loss functions exist for image level and pixel level classification, respectively. Image-level object classification uses KL-Divergence and pixel level object classification uses cross-entropy. In addition, it combines the layer of the resolution of the network extracting the features and the network of the resolution to secure the position information of the lost feature and the information of the boundary of the object due to the pooling operation.

A study on the communication structure of the iron & steel plants (제철 공정에서의 통신체계 분석)

  • 추영열;박중조;이주강;함융희
    • 제어로봇시스템학회:학술대회논문집
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    • 1990.10a
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    • pp.736-740
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    • 1990
  • The communication structure in iron & steel plants are described. The specifications of the management network, the plant network and the field network are investigated. Data link methods between level 1, and level 2 are studied. Several network examples are illustrated.

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A study on service composition for web caching on active network (액티브네트워크상의 웹 캐싱을 위한 서비스 컴포지션에 관한 연구)

  • 홍성준;이용수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.129-134
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    • 2003
  • This paper describes an application level composition mechanism called Generic Modeling Environment(GME) for web caching on an Application Level Active Network(ALAN). Web caching on an ALAN requires the application level composition mechanism and a service composition to support adaptability for self-organization. ALAN was developed to solve the problems of the network level Active Network(AN) ALAN has the features of both AN as well as mobile agents. The efficient composition mechanism for the existing AN Projects has been supported primarily for the network level AN. Conversely, ALAN lacks support for the application level AN The existing web caching technology is inter-connected in a manually configured hierarchical tree. Since a self-organization system is intended to be adaptive, web caching for self-organization does not involve a manual configuration or any low-level tuning of the individual nodes of the entire system but requires service composition to support adapting intelligence and fault-tolerance to enable self-organization.

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The Calculation Method with index for the Transfer Power limit to Capital Area (지수를 적용한 수도권 융통전력한계량 계산)

  • Lee, Woon-Hee;Kang, Myung-Jang;Song, Suk-Ha
    • Proceedings of the KIEE Conference
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    • 2008.11a
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    • pp.50-52
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    • 2008
  • We have limited the transfer power to capital area below a certain level which is called "The Capital Area Transfer Power Limit", and calculated on every Thursday for the application next week. This level is very important in our network operation, because if this level is not set properly, our power network can be fallen under great danger in case of a fault among the transfer power line. But the calculation procedure for the limit level is so complicated and iterative that it mace us spend much time and do much work. So, when a sudden trip of the related facility to the limit level we can't recalculate the limit level fast enough. And this can drop our network reliability below our standards, therefore our network can be dangerous. To avoid this kind of problems, we have figured out a method to calculate simply the limit level. That method uses the index related to the level. We think this method can make short of the calculation procedures for the level. This paper deals with the simplified method for the calculation of the level limit.

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Scheduling Computational Loads in Single Level Tree Network

  • Cui, Run;Sundaram, Suresh;Kim, Hyoung-Joong
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.131-135
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    • 2009
  • This paper is the introduction of our work on distributed load scheduling in single-level tree network. In this paper, we derive a new calculation model in single-level tree network and show a closed-form formulation of the time for computation system. There are so many examples of the application of this technology such as distributed database, biology computation on genus, grid computing, numerical computing, video and audio signal processing, etc.

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A Study on the Factors Influencing the Number of Network Organizations, Network Continuity and Service Continuity of Community Child Centers - Focusing on Chonbuk Province - (지역아동센터의 네트워크 연계기관수 및 네트워크 지속성, 서비스 지속성 영향요인 연구 - 전북지역을 중심으로 -)

  • Kim, Hyeon Suk;Seo, Yoon
    • Korean Journal of Child Studies
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    • v.34 no.6
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    • pp.159-175
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    • 2013
  • The purpose of this study was to explore how the number of network organizations, network continuity and service continuity of community child centers were affected by the charge factors, organizational factors and environmental factors of community child centers. To better understand this, we researched 107 community child centers in Chonbuk Province. The key results are as follows. The interpersonal connections of the charge factors had a strong effect on the number of network organizations, but organizational factors and environmental factors appeared to have no effect on the number of network organizations. The operational type(religious group), organizational support level of the organizational factors and public-private cooperation, regular consultative group operation(no) of the environmental factors appeared to have an effect on the level of network continuity. The region(local), regular consultative group operation(yes) and public-private cooperation of the environmental factors appeared to have an effect on the level of service continuity. It was hoped that the results would enable us to explore how factors related to a network had an effect on the service continuity, the number of network organizations and clients referral network continuity, and they appeared to have an effect on the service continuity.

An Integrated QoS Support Architecture for Wireless Home Network Based on IEEE 802.11 Wireless LAN

  • Hong, Sung-Hwa;Kim, Byoung-Kug;Eom, Doo-Seop
    • Journal of IKEEE
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    • v.11 no.4
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    • pp.227-234
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    • 2007
  • In this paper, to support a QoS level appropriate to the user in Wireless Home Network based Wireless LAN, we propose a QoS support architecture which includes Wired Network and Wireless Network. Actually, an important problem to support QoS in Wireless Home Network is approached not only on a MAC level in Wireless LAN but also on a integrated method to combine Network layer with Datalink layer. By applying the integrated QoS support method, it is possible to provide QoS support architecture using a Wireless LAN terminal with a minimum changing, and the proposed scheme has advantage of QoS support method, which is more superior than a existing scheme to support QoS in MAC level of Wireless LAN. Simulations results show that overall performance of the proposed scheme can be improved.

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Novel Two-Level Randomized Sector-based Routing to Maintain Source Location Privacy in WSN for IoT

  • Jainulabudeen, A.;Surputheen, M. Mohamed
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.285-291
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    • 2022
  • WSN is the major component for information transfer in IoT environments. Source Location Privacy (SLP) has attracted attention in WSN environments. Effective SLP can avoid adversaries to backtrack and capture source nodes. This work presents a Two-Level Randomized Sector-based Routing (TLRSR) model to ensure SLP in wireless environments. Sector creation is the initial process, where the nodes in the network are grouped into defined sectors. The first level routing process identifies sector-based route to the destination node, which is performed by Ant Colony Optimization (ACO). The second level performs route extraction, which identifies the actual nodes for transmission. The route extraction is randomized and is performed using Simulated Annealing. This process is distributed between the nodes, hence ensures even charge depletion across the network. Randomized node selection process ensures SLP and also avoids depletion of certain specific nodes, resulting in increased network lifetime. Experiments and comparisons indicate faster route detection and optimal paths by the TLRSR model.

An Improved Detection Performance for the Intrusion Detection System based on Windows Kernel (윈도우즈 커널 기반 침입탐지시스템의 탐지 성능 개선)

  • Kim, Eui-Tak;Ryu, Keun Ho
    • Journal of Digital Contents Society
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    • v.19 no.4
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    • pp.711-717
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    • 2018
  • The breakthrough in computer and network has facilitated a variety of information exchange. However, at the same time, malicious users and groups are attacking vulnerable systems. Intrusion Detection System(IDS) detects malicious behaviors through network packet analysis. However, it has a burden of processing a large amount of packets in a short time. Therefore, in order to solve these problem, we propose a network intrusion detection system that operates at kernel level to improve detection performance at user level. In fact, we confirmed that the network intrusion detection system implemented at kernel level improves packet analysis and detection performance.