• Nuclear Engineering and Technology
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• 제49권5호
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• pp.989-995
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• 2017

Distributed Control System (DCS) communication networks, which use Fast Ethernet with redundant networks for the transmission of information, have been installed in digitalized nuclear power plants. Normally, failover tests are performed to verify the reliability of redundant networks during design and manufacturing phases; however, systematic integrity tests of DCS networks cannot be fully performed during these phases because all relevant equipment is not installed completely during these two phases. In additions, practical verification tests are insufficient, and there is a need to test the actual failover function of DCS redundant networks in the target environment. The purpose of this study is to verify that the failover functions works correctly in certain abnormal conditions during installation and commissioning phase and identify the influence of network failover on the entire DCS. To quantify the effects of network failover in the DCS, the packets (Protocol Data Units) must be collected and resource usage of the system has to be monitored and analyzed. This study introduces the use of a new methodology for verification of DCS network failover during the installation and commissioning phases. This study is expected to provide insight into verification methodology and the failover effects from DCS redundant networks. It also provides test results of network performance from DCS network failover in digitalized domestic nuclear power plants (NPPs).

• 경영과학
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• 제34권2호
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• pp.15-33
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• 2017

This paper considers a Bayesian Network analysis for understanding the heterogeneous cross-category effects of different promotion activities and developing an efficient overall promotion strategy for a large retail store. More specifically we differentiate price reduction promotion and floor promotion and study their heterogeneous effect on consumer purchase behavior under a market basket setting. We then utilize Bayesian networks in identifying complex association structure in market basket dataset by analyzing the effects of different promotional activities and also include the effects of time, family income and size. We find from our Bayesian network analysis that the dominant cross-category promotion effect of price promotion is the indirect effect whereas the dominant cross-category promotion effect of floor promotion is the direct effect. Also, among the demographic variables we find that family size of the household is linked with more product categories compared to income and see that there are differences in the extent of the effects by product category. Finally, we also show the existence of products acting as a network hub and how they can be utilized by retailers faced with a limited marketing budget and suggest a more efficient promotion strategy.

• 가정과삶의질연구
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• 제14권3호
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• pp.151-166
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• 1996

This study examined the effects of social support on the perceived life satisfaction of middle-aged wives. To better understand the effects of social support on the perceived life satisfaction of middle-aged wives this study considered the following four different types of social support: emotional material informational and companionshp support. In addition each type of social support from the following five sources-the family of origin network the family of husband network friends neighbors and social organization-were examined separately in relation to the perceived life satisfaction of middle-aged wives. The data for his study were collected in the winter of 1995 from 417 housewives in Pusam wholse youngest child has graduated from elementary schools. Analyses of these data proved that (1) contrary to the classical "middle-age cristis" theory the average level of the perceived life satisfaction of middle-aged wives is relatively high; (2) there is a strong positive correla ion between the global level of social support and the overall life satisfaction of middle-aged wives; (3) the family of origin network is the most important provider of social support to middle-aged wives; and (4) the effects of social support on the perceived life satisfaction of middle-aged wives differ across types and sources of support. Findings showed that emotional informational and companionship support from the family of origin network have significantly positive effects on the perceived life satisfaction of middle-aged wives. On he other hand the material support from the family of origin network proved to have little effect.le effect.

• 근관절건강학회지
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• 제29권1호
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• pp.18-27
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• 2022

Purpose: A network meta-analysis was conducted to assess the comparative effects and ranks of repositioning for pressure ulcer prevention in adults. Methods: A network meta-analysis was performed in a frequency method, using the "netmeta" package of R software version 4.1. The effects of repositioning intervention were confirmed by the odds ratio. The comparative ranking of the repositioning effects was confirmed using the cumulative probability (P-score). Results: Seven intervention studies were included in this study. Based on the P-score, the use of the repositioning system was ranked as the most effective among all interventions (P-score 78.7%). Next was 3~4-hour repositioning combined with memory foam mattress use (P-score 77.2%), use of wearable sensor (P-Score 61.4%), 2-hour repositioning combined with memory foam mattress use (P-score 59.1%), 2-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%), and 4-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%). Conclusion: This study provides information on the relative comparative value of various repositioning interventions to prevent pressure ulcers using network meta-analysis. This is expected to be useful for nurses' decision-making when applying repositioning interventions in clinical practice

• 지식경영연구
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• 제14권3호
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• pp.87-100
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• 2013

As the external knowledge networks of firms have become more and more important to their product and service innovations, many global leading companies such as P & G, IBM, and Samsung Electronics have formulated and implemented their open innovation strategy. This study attempts to empirically analyze the effects of CEOs' supports for external knowledge networks, external knowledge network-oriented cultures and inter-organizational knowledge management systems as the major antecedents to external knowledge networks by using the data based on organizational members' perceptions about them. Based on 847 samples collected from employees in three companies in the medical, the construction and the IT service industries, this study performed a structural equation modeling (SEM) analysis about the effects of the antecedents to the external knowledge networks on product and service innovations through Partial Least Squares (PLS). The empirical findings of this study show that CEOs' supports for external knowledge network positively influence product and service innovations, partially mediated by external knowledge network-oriented cultures and inter-organizational knowledge management systems. And they also show that external knowledge network-oriented cultures and inter-organizational knowledge management systems have a positive effect on product and service innovations, respectively, partially mediated by external knowledge networks. With these new findings, academic and practical implications are discussed.

• 한국정보통신학회논문지
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• 제14권9호
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• pp.2150-2156
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• 2010

본 논문에서는 효율적이고 효과적인 정보 흐름을 가능하게 해주는 네트워크와 네트워크의 잠재력에 집중하고자 한다. 네트워크 중심 환경하에서 운용되는 군 지휘 통제 시스템을 포함하는 모든 네트워크들은 복잡하게 얽혀있다. 따라서 복잡도의 특성을 이해하고, 그에 따른 효과는 무엇이며, 어떻게 측정할 수 있을지에 대해서 알아본다. 우리는 정보의 접근성에 의한 효과와 네트워크화에 기반하는 중복성에 의한 효과에 대해서 결과를 제시하였다.

• 전자공학회논문지S
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• 제34S권11호
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• pp.148-155
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• 1997

Ths signal processing technqiue of FET type electrolyte sensors using the back propagation neural network was studied to reduce the interference effects of the different electrolytes. The FET-type electrolyte sensors, pH-ISFET, K-ISFET, and Ca-ISFET, were prepared to measure the pH, K, and Ca electrolytes. Neural network consisted of three layers was learned with 8 patterns and 9 patterns. The sensor output obtained with arbitrary concentrations was processed by the learned neural network. The errors obtained from calibration curve for pH, K, and Ca were .+-.0.039 pH, .+-.2.508 mmol/l, and .+-.1.807 mmol/l, respectively, without considering the interference effects. The errors of the network output for pH, K, and Ca were reduced to .+-.0.005 pH, .+-.0.436 mmol/l, and .+-.0.381 mmol/l in case of 9 patterns, respectively. the signal processing using the neural network can reduce the errors ofthe electrolyte sensor outputs caused by the interference effect, thereby providing effectiveness in the improvement of the sensor selectivity.

• 한국콘텐츠학회논문지
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• 제18권4호
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• pp.575-585
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• 2018

의약품 부작용과 같이 국민의 건강과 밀접한 관련이 있고, 전문적인 이슈의 경우 언론 보도는 국민들의 위기 대응과 정부의 위기관리에 영향을 미칠 수 있다는 점에서 중요하다. 이 연구는 의약품 부작용과 관련된 언론 보도를 주요 주제, 정보원, 위기 책임 귀인, 프레임을 분석하고 언론의 주목을 받은 의약품 부작용보도에 대해 네트워크 분석을 실시해 정부의 위기관리 방안을 제시했다. 일간지, 경제지, 전문지의 보도에 차이가 있었는데, 일간지는 부작용 발생과 같은 위기 발생을 중심으로, 경제지는 제약업계 관련된 기사를, 전문지는 의약품 정책을 비판하는 기사 중심으로 보도했다. 의약품 부작용과 관련된 주요 정보원은 국회의원이었다. 위기의 책임을 언급한 기사는 적었지만, 위기 해결의 주체에 대해서는 의약품을 생산한 업체가 해결해야 한다는 기사가 많았지만 전문지의 경우에는 정부가 문제를 해결해야 한다고 했다. 네트워크 분석을 통해 기사에서 중요하게 언급된 단어를 찾고, 단어와 단어의 관계 분석으로 기사에서 전달하고자 하는 의미를 찾았다. 이 연구는 내용분석과 네트워크 분석을 통해 의약품 부작용 기사를 분석하고 정부의 위기 커뮤니케이션 관점에서 공중별 정부의 위기 대응 방안을 고려해봤다는 데 의의가 있다.

• Tribology and Lubricants
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• 제20권1호
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• pp.27-32
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• 2004

This paper presents unsteady oil flow behaviors in the engine lubrication network to clarify the differences between continuous and discontinuous oil supply crankshaft system. Using commercial network analysis program, Flowmaster2, engine lubrication network system analysis were carried out. And effects of crankshaft speed and supplied oil pressure on pressure fluctuation in oil groove and oil flow rate to each bearing were analyzed.

• 기술혁신연구
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• 제25권4호
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• pp.211-238
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• 2017

본 연구는 혁신주체 간 협력이 기술혁신 성과에 미치는 영향을 알아보기 위해 사회네트워크분석 및 분산분석 그리고 회귀분석을 실시하였다. 2009년부터 2012년까지 한국 특허청의 공동 출원인 자료를 토대로 네트워크 구조 변수 및 특성 변수를 도출하였다. 이를 통해 전체 네트워크의 구조적 유형, 혁신주체 별 역할 그리고 혁신 성과에 영향을 미치는 네트워크 특성 변수가 무엇인지를 실증 분석하였다. 분석결과를 요약하면 다음과 같다. 첫째, 특허 공동출원인 네트워크는 비교적 소규모 그룹들이 산재해 있는 분산집중형 좁은세상 네트워크 구조이며 혁신주체들이 비교적 느슨하게 연결되어 있었다. 둘째, 특허 공동출원인 네트워크에서 가장 중심적인 역할을 하는 것은 대학교로 밝혀졌으나 협력 파트너의 다양성은 모든 혁신주체가 비슷하였다. 셋째, 익숙한 몇몇 협력 파트너로부터 얻는 신속하고 정확성이 높은 지식이 다양한 분야의 협력 파트너로부터 얻는 생소한 지식보다 성과를 창출하는 데에 보다 긍정적이었다.