• 한국정보시스템학회지:정보시스템연구
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• 제28권3호
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• pp.39-58
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• 2019

Purpose A digital twin is a digital replication of a physical system. Gartner identified the digital twin as one of the Gartner Top 10 Strategic Technology Trend for three years from 2017. The rapid development of the digital twin market is expected to bring about innovation and change throughout society, and much research has been done recently in academia. In this research, we tried to explore the main research trends for digital twin research. Design/methodology/approach We collected the digital twin research from Web of Science, and analyzed 804 articles that was published during time span of 2010-2018. A total of 41 key authors were selected based on the frequency of citation. We created a co-citation matrix for the core authors, and performed multivariate analysis such as cluster analysis and multidimensional scaling. We also conducted social network analysis to find the influential researchers in digital twin research. Findings We identified four major sub- areas of digital twin research: "Infrastructure", "Prospects and Challenges", "Security", and "Smart Manufacturing". We also identified the most influential researchers in digital twin research: Lee EA, Rajkumar R, Wan J, Karnouskos S, Kim K, and Cardenas AA. Limitation and further research suggestion were also discussed as a concluding remarks.

• 아태비즈니스연구
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• 제11권4호
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• pp.49-63
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• 2020

Purpose - This study aims to assess six aspects of resident satisfaction (satisfaction with room, home, social interaction, meals service, staff care, and resident involvement) and to identify the most influential aspect of satisfaction upon word-of-mouth (WOM) intention in a continuing care retirement community (CCRC). Design/methodology/approach - A total of 293 paper survey questionnaires with a cover letter and postage paid envelopes were mailed to the CCRC residents. To test reliability and validity of the multidimensional resident satisfaction, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. Then, the structural equation modeling technique (SEM) was applied to test causal relationship between resident satisfaction and WOM intention. Multiple regression was used to identify the most influential aspect of resident satisfaction on WOM intention in the CCRC. Findings - The results of EFA and CFA on the 157 responses received out of the total 293 surveys indicated that six dimensions of resident satisfaction were statistically distinct. Among the six dimensions, satisfaction with resident involvement, social interaction, and staff care significantly influenced their WOM intention. Furthermore, the most influential aspect of satisfaction upon WOM intention was resident involvement. Research implications or Originality - This study empirically tested the six dimensions of CCRC resident satisfaction, and identified resident involvement as the most influential factor upon WOM intention in a CCRC where WOM intentions plays a crucial role during the selection process of prospective residents.

• 한국정보시스템학회지:정보시스템연구
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• 제30권2호
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• pp.165-188
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• 2021

Purpose This study was conducted to identify the multidimensional role of institutional mechanisms in the linear relationship of satisfaction, trust and repurchase intention, which are used as an important concept in the research of e-commerce. To this end, a research model was proposed by combining concepts which are the concept of perceived effectiveness of institutional mechanisms for overall e-commerce environment(e.g., PEEIM) and the concep of perceived effectiveness of institutional structures(e.g., PEIS) of a specific marketplace based on the social cognitive theory. Design/methodology/approach This study was conducted by dividing the data into two groups to identify institutional mechanisms and trust-building relationships according to the institutional contexts inherent in e-commerce. The institutional contexts were set up for the top two online companies and the bottom two online companies according to the results of the open market brand assessment from 2018 to 2019 in South Korea. Findings The result of this study found that PEIS had a direct impact on trust in both high and low groups respectively whereas PEEIM presented different paradoxical results in high and low groups. In the relationship between the satisfaction and the trust in the vendor of the high group, PEEIM showed negative moderating effects but in the relationship between the trust and the repurchase intention of the low group PEEIM showed positive moderating effects.

• Journal of Public Diplomacy
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• 제2권1호
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• pp.97-115
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• 2022

What is the relationship between city diplomacy and public diplomacy in the United States? Whilst this question is often raised among scholars and practitioners of public diplomacy, a concrete and systematic response to it seems difficult to locate. This paper addresses the question by relying on earlier research based on empirical analysis of data from semi-structured interviews with city officials with international purview in the United States as well as with current and former officials at the U.S. Department of State who have worked on topics related to city diplomacy. The research and analysis that informs this paper and the diagrams it offers are hinged on design principles and adopt an architecture studio style approach to data analysis. Further, multidimensional scaling and correspondence analysis are used to visualize the convergence and divergence between the functions of public diplomacy, as introduced by Nicholas Cull, and the functions of city diplomacy that this paper introduces. This is done to first, provide a framework for understanding the dynamics between city diplomacy and public diplomacy; and second, uncover the policy intervention space that could guide policies for making U.S. city diplomacy and public diplomacy more strategically aligned.

• 한국환경과학회지
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• 제32권9호
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• pp.627-634
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• 2023

Tire wear particles(TWPs), regarded as a microplastic, is generated in significant quantities each year and exist in various spaces and have a negative impact on the surrounding environment. Particularly, roadside environments fall within the direct influence of TWPs, necessitating proactive investigation for contamination management and response. Therefore, this study aimed to investigate the soil acidity and electrical conductivity(EC) and TWPs in the roadside soil of six sites based on traffic volume. The analysis revealed that the soil in all sites exhibited subacidity, and there were no significant differences in EC. Microscopic and FT-IR analysis revealed the presence of microscopic particles in soil samples that exhibited common visual characteristics of TWPs. In the road with the highest traffic volume, 48,300 TWPs were detected per unit area. Furthermore, a proportional relationship between traffic volume and TWPs particles was established. However, influences other than traffic volume on TWPs particle count within the soil were observed. Therefore, for the management of TWPs contaminated roadside soil, a proactive response is necessary in areas with high traffic volumes. However, in order to effectively address the factors contributing to the generation and dispersion of TWPs, further research is required with a multidimensional approach.

• 한국융합학회논문지
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• 제6권4호
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• pp.33-40
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• 2015

산업과 ICT 기술간의 융합으로 새로운 부가가치를 창출할 수 있는 융합환경이 도래되어짐에 따라 경제성장과 더불어 우리의 삶의 질이 향상 되고 있지만 이러한 융합환경은 다수의 이익만을 제공하는 것이 아니라 융복합적인 보안 위협이 발생됨에 따라 다양한 보안문제를 발생시켰다. 이러한 보안 문제를 해결하기 위해서는 기존의 기술적인 접근으로 단편적인 보안 문제 해결방식이 아닌 통합적인 관점에서 보안문제를 접근할 필요가 있다. 그래서 본 연구에서는 전략적 관점, 관리적/운영적관점, 기술적 관점 등 다차원적인 관점에서 신뢰성 있는 보안 거버넌스 관리를 할 수 있도록 인적측면이 고려되어진 보안 거버넌스 프레임워크를 개발하였다. 그래서 이 프레임워크를 통해 보안 관리에 대한 단일 기준을 제시함으로서 최고 경영진들의 직접적인 관여가 가능하고 조직구성원들이 스스로 보안활동을 수행하고 책임 질수 있는 신뢰성 있는 보안관리체계를 구축할 수 있을 것이다.

• 전기전자학회논문지
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• 제18권1호
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• pp.165-171
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• 2014

본 논문에서는 MIMO 검출기를 위한 저 복잡도 QR 분해 구조를 제시한다. 제안된 접근 방식에서는, QRD 하드웨어의 연산 복잡도를 감소시키기 위해 다양한 코딕 기반 QRD 알고리즘들이 효율적으로 조합된다. 다양한 QRD 알고리즘들에 대한 연산 복잡도 분석에 기초하여, QRD 과정의 매 단계마다 저 복잡도 접근 방식이 선택된다. 제안된 QRD 구조는 어떤 임의의 차원을 갖는 채널 매트릭스에도 적용 될 수 있고, 매트릭스 차원의 증가에 따라 연산 복잡도 감소도 늘어난다. 제안하는 QR 분해 하드웨어는 삼성 $0.13{\mu}m$ 공정을 사용하여 구현되었다. 실험결과, $4{\times}4$ 행렬의 QR 분해에 대한 제안 구조는 기존의 Householder 코딕 기반의 구조에 비해 47%의 QAR(QRD Rate/Gate count) 향상과 28%의 전력을 절감을 이뤄낼 수 있었다.

• Journal of Ginseng Research
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• 제42권1호
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• pp.98-106
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• 2018

Panax ginseng has been used since ancient times based on the traditional Asian medicine theory and clinical experiences, and currently, is one of the most popular herbs in the world. To date, most of the studies concerning P. ginseng have focused on specific mechanisms of action of individual constituents. However, in spite of many studies on the molecular mechanisms of P. ginseng, it still remains unclear how multiple active ingredients of P. ginseng interact with multiple targets simultaneously, giving the multidimensional effects on various conditions and diseases. In order to decipher the systems-level mechanism of multiple ingredients of P. ginseng, a novel approach is needed beyond conventional reductive analysis. We aim to review the systems-level mechanism of P. ginseng by adopting novel analytical framework-network pharmacology. Here, we constructed a compound-target network of P. ginseng using experimentally validated and machine learning-based prediction results. The targets of the network were analyzed in terms of related biological process, pathways, and diseases. The majority of targets were found to be related with primary metabolic process, signal transduction, nitrogen compound metabolic process, blood circulation, immune system process, cell-cell signaling, biosynthetic process, and neurological system process. In pathway enrichment analysis of targets, mainly the terms related with neural activity showed significant enrichment and formed a cluster. Finally, relative degrees analysis for the target-disease association of P. ginseng revealed several categories of related diseases, including respiratory, psychiatric, and cardiovascular diseases.

• 정보처리학회논문지A
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• 제8A권3호
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• pp.245-252
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• 2001

멀티컴퓨터 시스템은 많은 연산 노드들을 이용함으로써 높은 성능을 얻는다. 다차원 매쉬(mash)는 단순함과 효율성 때문에 멀티컴퓨터 구조로 널리 이용되었다. 본 논문은 3차원 토러스(torus) 시스템을 위한 최초 적합(first-fit) 방법에 기반한 효율적인 프로세서 할당 알고리즘을 제안한다. 이 알고리즘은 CST(Coverage Status Table)을 이용하여 3차원 정보를 2차원 정보로 변형하므로써 프로세서 할당 시간을 최소화 한다. 종합적인 컴퓨터 시뮬레이션 결과는 제안한 방법이 최적 적합(best-fit)에 기반한 기존 방법들과 비교해서 프로세서 이용률은 비슷하면서, 프로세서 할당 시간이 항상 짧다는 것을 보여준다. 성능 차이는 입력 부하가 증가함에 따라 더욱 두드러진다. 다른 스케줄링 환경상에서 제안된 방법의 성능을 조사하기 위해서, 전형적인 FCFS 스케줄링 기법과 함께 non-FCFS 스케줄링 기법도 연구된다.

• Safety and Health at Work
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• 제14권4호
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• pp.476-482
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• 2023

Introduction: There is a growing global interest in the issue of precarious employment. We aimed to analyze the characteristics and socio-demographic distribution of precarious employment using a summative score approach. Methods: To operationalize precarious employment, we utilized data from the Korean Working Conditions Survey and focused on three distinct dimensions: employment insecurity, income inadequacy, and a lack of rights and protections. By constructing a summative scale ranging from -16 to 2, with lower scores indicating higher precariousness, we measured employment precariousness among Korean wage workers. To compare employment precariousness according to survey participant characteristics, we employed the Wilcoxon Rank Sum Test. Results: We analyzed a weighted number of 38,432 workers. The overall sample showed a median (Q1, Q3) summative scale score of -3 (-6, -1). The median summative score was lower for women compared to men (men: -2; women: -5; p < 0.001), as well as for young or older workers compared to middle-aged workers (young: -4; middle-aged: -2; older: -5; p < 0.001). Similarly, workers with lower educational levels (middle school or below: -8; high school: -5; college or above: -2; p < 0.001) and non-white collar workers (blue collar: -5; service/sales worker: -6; white collar: -2; p < 0.001) experienced higher levels of employment precariousness. Conclusion: Our findings indicate that certain vulnerable groups, such as women, young or older adults, workers with low educational attainment, and caregiving or low-skilled elementary workers, are disproportionately exposed to high employment precariousness. Active policy interventions are needed to improve the employment quality of vulnerable groups.