• Title/Summary/Keyword: Link importance

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An Empirical Study on the Relationship among Social Capital, Knowledge Application, and Product Innovation Performance in Technology Cooperation Network (기술협력 네트워크에서의 사회적자본, 지식활용, 제품혁신성과의 관계에 대한 실증연구)

  • Kang, Seok-Min;Kim, Dae-Won
    • Knowledge Management Research
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    • v.15 no.4
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    • pp.207-221
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    • 2014
  • Due to the awareness for the importance of social capital, many researches have investigated that social capital contributes to the successful implementation of product innovation. Although most researchers tried to model the effect of social capital on product innovation as a linear relation, we consider it too simplistic and fuzzy because knowledge utilization which ultimately leads to product innovation should exist in the relationship between social capital and product innovation. Using 107 survey data, this study found there is a partial mediating effect of knowledge utilization on the link between structure aspect of social capital and product innovation (i.e., new product development and improvement in existing products). Next, this study reported knowledge utilization does act as a perfect mediating variable on the link between awareness aspect of social capital and improvement of existing products, but act as a partial mediating variable on the link between awareness aspect of social capital and new product development. Finally, this study found that knowledge utilization does not act as a mediating variable on the link between relation aspect of social capita and product innovation.

An Impletation of FPGA-based Pattern Matching System for PCB Pattern Detection (PCB 패턴 검출을 위한 FPGA 기반 패턴 매칭 시스템 구현)

  • Jung, Kwang-Sung;Moon, Cheol-Hong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.5
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    • pp.465-472
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    • 2016
  • This study materialized an FPGA-based system to extract PCB patterns. The Printed Circuit Boards that are produced these days are becoming more detailed and complex. Therefore, the importance of a vision system to extract defects of detailed patterns is increasing. This study produced an FPGA-based system that has high speed handling for vision automation of the PCB production process. A vision library that is used to extract defect patterns was also materialized in IPs to optimize the system. The IPs materialized are Camera Link IP, pattern matching IP, VGA IP, edge extraction IP, and memory IP.

Formal Verification and Performance Analysis of New Communication Protocol for Railway Signaling Systems (철도 신호시스템을 위한 새로운 통신 프로토콜의 성능해석 및 검증)

  • 이재호;황종규;박용진;박귀태
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.6
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    • pp.380-387
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    • 2004
  • In accordance with the computerization of railway signaling systems, the interface link between the signaling systems has been replaced by a digital communication channel. At the same time, the importance of the communication link has become increasingly significant. However, there are some questionable matters in the current state of railway signaling systems in KNR. First, different communication protocols have been applied to create an interface between railway signaling systems although the protocols have the same functions. Next, the communication protocols currently used in the railway fields have some illogical parts such as structure, byte formation, error correction scheme, and so on. To solve these matters, the standard communication protocol for railway signaling systems is designed. The newly designed protocol is overviews in this paper. And the simulation is performed to analysis the performance of data link control for designed protocol. According to this simulation, it is identified that the link throughput of new protocol is improved about 10% and the frame error rate is improved than existing protocol. And it is verified the safety and liveness properties of designed protocol by using a formal method for specifying the designed protocol. It is expected that there will be an increase in safety, reliability and efficiency in terms of the maintenance of the signaling systems by using the designed communication protocol for railway signaling.

Link-State Routing Security Mechanism based on Double Hash Chain (이중 해쉬체인에 기반을 둔 Link-State 라우팅 보안 메커니즘)

  • 유병익;임정미;유선영;박창섭
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.13 no.2
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    • pp.31-40
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    • 2003
  • The current security issue for the Internet is focused on the security for user data. On the other hand, the research on the security for routing protocols is not so active, considering the importance of its role for the harmonious and accurate operation of the Internet. In this paper, we investigate the security problems of the link-state routing protocol which has been employed in the Internet, and suggest a new authentication mechanism for routing messages which complements and extends the previous ones. For this purpose, a concept of dual hash chains is newly introduced, which is provably secure, and we explain how to provide both the integrity and source authentication service for routing messages based on the session hash chains.

Predicting Reports of Theft in Businesses via Machine Learning

  • JungIn, Seo;JeongHyeon, Chang
    • International Journal of Advanced Culture Technology
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    • v.10 no.4
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    • pp.499-510
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    • 2022
  • This study examines the reporting factors of crime against business in Korea and proposes a corresponding predictive model using machine learning. While many previous studies focused on the individual factors of theft victims, there is a lack of evidence on the reporting factors of crime against a business that serves the public good as opposed to those that protect private property. Therefore, we proposed a crime prevention model for the willingness factor of theft reporting in businesses. This study used data collected through the 2015 Commercial Crime Damage Survey conducted by the Korea Institute for Criminal Policy. It analyzed data from 834 businesses that had experienced theft during a 2016 crime investigation. The data showed a problem with unbalanced classes. To solve this problem, we jointly applied the Synthetic Minority Over Sampling Technique and the Tomek link techniques to the training data. Two prediction models were implemented. One was a statistical model using logistic regression and elastic net. The other involved a support vector machine model, tree-based machine learning models (e.g., random forest, extreme gradient boosting), and a stacking model. As a result, the features of theft price, invasion, and remedy, which are known to have significant effects on reporting theft offences, can be predicted as determinants of such offences in companies. Finally, we verified and compared the proposed predictive models using several popular metrics. Based on our evaluation of the importance of the features used in each model, we suggest a more accurate criterion for predicting var.

Importance Assessment of Multiple Microgrids Network Based on Modified PageRank Algorithm

  • Yeonwoo LEE
    • Korean Journal of Artificial Intelligence
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    • v.11 no.2
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    • pp.1-6
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    • 2023
  • This paper presents a comprehensive scheme for assessing the importance of multiple microgrids (MGs) network that includes distributed energy resources (DERs), renewable energy systems (RESs), and energy storage system (ESS) facilities. Due to the uncertainty of severe weather, large-scale cascading failures are inevitable in energy networks. making the assessment of the structural vulnerability of the energy network an attractive research theme. This attention has led to the identification of the importance of measuring energy nodes. In multiple MG networks, the energy nodes are regarded as one MG. This paper presents a modified PageRank algorithm to assess the importance of MGs that include multiple DERs and ESS. With the importance rank order list of the multiple MG networks, the core MG (or node) of power production and consumption can be identified. Identifying such an MG is useful in preventing cascading failures by distributing the concentration on the core node, while increasing the effective link connection of the energy flow and energy trade. This scheme can be applied to identify the most profitable MG in the energy trade market so that the deployment operation of the MG connection can be decided to increase the effectiveness of energy usages. By identifying the important MG nodes in the network, it can help improve the resilience and robustness of the power grid system against large-scale cascading failures and other unexpected events. The proposed algorithm can point out which MG node is important in the MGs power grid network and thus, it could prevent the cascading failure by distributing the important MG node's role to other MG nodes.

The Analysis and Implication of Link Integrity of Korean Public Institution Website from a Web Usability Perspective (웹 사용성 관점에서 공공기관 웹 사이트의 링크 유효성 분석 및 개선 과제)

  • Moon, Hyun Ju;Kim, Suk Il
    • 재활복지
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    • v.17 no.4
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    • pp.291-309
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    • 2013
  • Web usability is utilized as a standard for constructing and managing website to be useful by people of all abilities and disabilities. Link integrity is one of main criteria for web usability evaluation. Links that are found to be broken or pointing to irrelevant information lead gradual degradation of link integrity over time. This study has conducted investigation for link integrity of Korean public institution website. Among 49 website that are accessible by an automatic link checker software, 91.8% of the website has more than one broken links. Also average number of broken links is 50.5 that is 0.33% of the number of links. 29 websites consist of internal broken links. And 22 website do not provide any information on the missing page. Broken links enlower website confidence by reducing web usability as well as they prohibit web search engine not to provide information on the website. Therefore, web developers and managers need to be aware of importance of link integrity and prohibit web usability degradation by performing link validation as a web management task or periodically.

Machine-Learning-Based Link Adaptation for Energy-Efficient MIMO-OFDM Systems (MIMO-OFDM 시스템에서 에너지 효율성을 위한 기계 학습 기반 적응형 전송 기술 및 Feature Space 연구)

  • Oh, Myeung Suk;Kim, Gibum;Park, Hyuncheol
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.27 no.5
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    • pp.407-415
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    • 2016
  • Recent wireless communication trends have emphasized the importance of energy-efficient transmission. In this paper, link adaptation with machine learning mechanism for maximum energy efficiency in multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) wireless system is considered. For reflecting frequency-selective MIMO-OFDM channels, two-dimensional capacity(2D-CAP) feature space is proposed. In addition, machine-learning-based bit and power adaptation(ML-BPA) algorithm that performs classification-based link adaptation is presented. Simulation results show that 2D-CAP feature space can represent channel conditions accurately and bring noticeable improvement in link adaptation performance. Compared with other feature spaces, including ordered postprocessing signal-to-noise ratio(ordSNR) feature space, 2D-CAP has distinguished advantages in either efficiency performance or computational complexity.

LSU Message Count Controlled Link State Update Algorithm in QoS Routin (LSU 메시지 수를 제어 가능한 QoS 라우팅 링크 상태 갱신 알고리즘)

  • Cho, Kang-Hong;Kim, Nam-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.6
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    • pp.75-81
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    • 2012
  • This paper has proposed Message Count Control Mechanism based Link State Update(LSU) Algorithm that has not had a strong influence on the depreciation of QoS routing performance. Most existing LSU algorithms have the limit that cannot control the count of LSU message. Especially, adaptive algorithms have a bad performance when traffic are excessive and fickle. We classify as the importance of LSU message that have a influence on available bandwidth and determine the transmission of the message according to update rate per a unit of time. We have evaluated the performance of the proposed model and the existing algorithms on MCI simulation network using the performance metric as the QoS routing blocking rate and the mean update rate per link, it thus appears that we have verified the performance of this algorithm.

Formal Verification Network-based Protocol for Railway Signaling Systems

  • Hwang, Jong-Gyu;Lee, Jae-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.354-357
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    • 2004
  • According to the computerization of railway signaling systems, the interface link between the signaling systems has been replaced by the digital communication channel. At the same time, the importance of the communication link is more pronounced than in the past. In this paper, new network-based protocol for Korean railway signaling has designed between CTC and SCADA system, and the overview of designed protocol is briefly represented. Using the informal method for specifying the communication protocol, a little ambiguity may be contained in the protocol. To clear the ambiguity contained in the designed protocol, we use LTS model to design the protocol for this interface link between CTC and SCADA, the LTS is an intermediate model for encoding the operational behavior of processes. And then, we verify automatically and formally the safety and the liveness properties through the model checking method. Especially, the modal ${\mu}$-calculus, which is a highly expressive method of temporal logic that has been applied to the model checking method. It will be expected to increase the safety, reliability and efficiency of maintenance of the signaling systems by using the designed protocol for railway signaling in Korea.

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