• 지식경영연구
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• 제15권3호
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• pp.95-120
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• 2014

In order to successfully adapt in ever-changing social and economic environment, organizational members need to get a capacity to be open to accepting change, effectively leverage the knowledge assets accumulated inside and outside the company for pursuing new values. In this study, we defined such competence as generativity capacity and demonstrated mechanism for forming generativity capacity and an impact on job performance. We suggested absorptive capacity, tertius iungens orientation, use of information technology as antecedent variables of generativity capacity. For empirically verifying the proposed model, we collected sample data from 201 workers and conducted analysis using a structural equation modeling. The empirical analysis results revealed that all of the proposed antecedent variables significantly impacted on generativity capacity, which in turn had a significant effect on job performance. We expect that this study will provide researchers and managers who want to get a broader perspective on knowledge management beyond the boundaries with useful theoretical and practical implications.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2018년도 추계학술대회
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• pp.46-46
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• 2018

The Platycodon grandiflorum (balloon flower) has been used as food material and traditional medicine in Asia. The roots have been used in traditional medicine to treat coughs, upper respiratory infections, and sore throats. Using 1,603 valid patents from 6 countries, we analyzed the patent trend based on year, countries, applicants, and technology. The technologies are categorized into 6 groups which include material, additives, manufacture, cultivation, breeding and seed. The technology competitiveness of countries were analyzed with quantitative factors such as cites per patent, patent impact index, patent family size and technology strength. In comparison with other countries in the patent index, South Korea shows an increasing trend in patent numbers and total leverage ability, although the individual technology is lower than Japan and USA. Our study provides information on technical trend to support the performance of new projects on balloon flower.

• IMMUNE NETWORK
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• 제14권2호
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• pp.73-80
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• 2014

Because autoimmune diseases (AIDs) result from a complex combination of genetic and epigenetic factors, as well as an altered immune response to endogenous or exogenous antigens, systems biology approaches have been widely applied. The use of multi-omics approaches, including blood transcriptomics, genomics, epigenetics, proteomics, and metabolomics, not only allow for the discovery of a number of biomarkers but also will provide new directions for further translational AIDs applications. Systems biology approaches rely on high-throughput techniques with data analysis platforms that leverage the assessment of genes, proteins, metabolites, and network analysis of complex biologic or pathways implicated in specific AID conditions. To facilitate the discovery of validated and qualified biomarkers, better-coordinated multi-omics approaches and standardized translational research, in combination with the skills of biologists, clinicians, engineers, and bioinformaticians, are required.

• 한국군사과학기술학회지
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• 제12권3호
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• pp.290-298
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• 2009

This paper proposes a novel process which can develop the system requirements in defense R&D programs. As the weapon systems become more complicated, the success and effectiveness of R&D outcome heavily depend on the application and tailoring of systems engineering process and methods. And, the accuracy and quality of system requirements are essential prerequisite to leverage the systems engineering process. To produce the artifacts of systems engineering such as OCD, ORD, and the systems requirements, the system user can write out requirement document using the proposed implementation process and templates without expending heavy work loads.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2004년도 제5회 정기학술발표대회 논문집
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• pp.89-94
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• 2004

Many innovative management processes, which are also termed as best practices or value improving practice, have been proven to successfully improve the value of capital facility projects. With a lack of any guidance on how to implement the most suitable value management process for a particular project, the objective of this paper is to facilitate the VMP implementation. A CII (Construction Industry Institute)'s recent study, titled as 'Development of the Value Management Toolkit,' encompasses a comprehensive structure of value management and provides a new methodology in optimizing the implementation of the value management processes in order to leverage the unique project circumstances, such as project objectives, resource availability, and site limitations, etc. As a pioneering study, the findings contribute to the expedition of implementing value management processes in the industry and maximize the potential benefits in applying the most benefiical value management process for a particular capital facility project.

• 한국전자거래학회지
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• 제7권1호
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• pp.141-152
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• 2002

Data dictionary is a collection of meta-data, which describes data produced and consumed while performing business processes. Data dictionary is an essential element for business process standardization and automation, and has a fundamental role in ERP application management and customization. Also, data dictionary facilitates B2B processes by enabling painless integration of business processes between various enterprises. We implemented data dictionary support in SEA＋, a component- based scalable ERP system developed in ETRI, and found out that it's a plausible feature of business information system. We discovered that data dictionary promotes semantic, not syntactic, data management, which can make it possible to leverage viability of the tool in the coming age of more meta-data oriented computing world. We envision that business data dictionary is a firm foundation of adapting business knowledge, applications and processes into the semantic web based enterprise infra-structure.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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• pp.633-636
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• 2003

An Ethernet passive optical network(EPON) is a point-to-multipoint optical network. EPONs leverage the low cost, high performance curve of Ethernet systems to provide reliable data, voice and video to end user at bandwidths far exceeding current access technologies. In this paper, we propose the economical and flexible structure of optical network unit(ONU) converting optical format traffic to the customer's desired format(Ethernet, VDSL, T1, IP multicast, etc.). A unique feature of EPONs is that in addition to terminating and converting the optical signal the ONU provide Layer 2-3 switching functionality, which allows internal routing of enterprise traffic at the ONU.

• 대한화학회지
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• 제58권6호
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• pp.543-552
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• 2014

A quantitative structure activity relationship (QSAR) study is performed for modeling and prediction of oral bioavailabilities of 216 diverse set of drugs. After calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regression (MLR), artificial neural network (ANN), support vector machine (SVM) and random forest (RF) techniques. Comparison between statistical parameters of these models indicates the suitability of SVM over other models. The root mean square errors of SVM model were 5.933 and 4.934 for training and test sets, respectively. Robustness and reliability of the developed SVM model was evaluated by performing of leave many out cross validation test, which produces the statistic of $Q^2_{SVM}=0.603$ and SPRESS = 7.902. Moreover, the chemical applicability domains of model were determined via leverage approach. The results of this study revealed the applicability of QSAR approach by using SVM in prediction of oral bioavailability of drugs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2217-2229
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• 2015

Since the variations of illumination, the irregular changes of human shapes, and the partial occlusions, multiple person tracking is a challenging work in computer vision. In this paper, we propose a graph clustering method based on spatio-temporal information of moving objects for multiple person tracking. First, the part-based model is utilized to localize individual foreground regions in each frame. Then, we heuristically leverage the spatio-temporal constraints to generate a set of reliable tracklets. Finally, the graph shift method is applied to handle tracklet association problem and consequently generate the completed trajectory for individual object. The extensive comparison experiments demonstrate the superiority of the proposed method.

• 품질경영학회지
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• 제24권3호
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• pp.50-64
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• 1996

This article is concerned with procedures for detecting multiple y outliers in linear regression. The outward-testing procedure, which is controled by the initial subset and the minimum residuals, is suggested by two phases. The performance of this procedure is compared with others by Monte Carlo techniques and found to be superior. The procedure, however, fails in detecting y outliers that are on high-leverage cases in Phase 1. Thus, we proposed ELMS algorithm for a set of suspect observations, in Phase 1. In Phase 2, the proposed testing is conducted using the studentized residuals to see which of the suspect cases are outliers. Several examples are analyzed.