• 기술혁신학회지
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• 제6권2호
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• pp.175-190
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• 2003

This paper deals with the methods for selecting the key research areas, which fit for the large, multi-disciplinary, and long-term programs by making use of Technology Cluster Analysis. This method is applied to mano-technology field at the level of national R&D program. 56 nano-technologies are analyzed and grouped into three main clusters based on the survey data from 180 experts. Three main clusters are \circled1 naro-materials related cluster, \circled2 naro-device related cluster, and \circled3 naro-bio related cluster. These three clusters are coincided with the focused areas of nano-technology in Korea. Each cluster is analyzed in view of its competence position.

• Human Ecology Research
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• 제56권6호
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• pp.603-617
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• 2018

This study analyzed research trends in the field of Practical Arts (Technology & Home Economics) education. From 958 articles published between 2010 and 2018 in the Journal of Korean Practical Arts Education (JKPAE), Journal of Korean Home Economics Education Association (JHEEA), and Korean Journal of Technology Education Association (KJTEA), 958 keywords were extracted and analyzed using NetMiner 4. When the general network structure was analyzed, keywords such as practical arts education, curriculum, textbook, home economics education, and students were high in the degree centrality and closeness centrality, and textbook, practical arts education, curriculum, student, home economics education, and invention were high in the node betweenness centrality. The cluster analysis showed that a four-cluster solution was most appropriate: cluster 1, technology and experiential learning activities; cluster 2, curriculum studies and practical problem; cluster 3, relationships; and cluster 4, creativity and character education. The three journals showed differences in the knowledge network structure: The topics of JKPAE and JKHEEA focused on general content knowledge and curriculum, while the topics of KJTEA were spread across invention and creativity education, and curriculum studies.

• 한국정보전자통신기술학회논문지
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• 제15권5호
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• pp.308-314
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• 2022

본 연구는 국내에 출원된 헬스케어 특허의 기술 융복합 분석에 관한 것으로 사회 연결망 분석(Social Network Analysis)을 이용하여 핵심 기술간 관계를 시각화하였다. 헬스케어 특허의 서브클래스 수준에서 복합 IPC 코드를 가지는 특허는 1,155건(49.4%)으로 조사되었고, 이를 대상으로 사회 연결망 분석을 실시한 결과 연결 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이고, 매개 중심성이 가장 큰 IPC 코드는 A61B, G16H, G06Q 순이다. 또한 헬스케어 특허는 두 개의 큰 기술 집합(Cluster)으로 구성되어 있다는 것을 확인할 수 있었다. Cluster-1은 A61B와 G16H 및 G06Q를 중심으로 헬스케어 인포매틱스 관련 기술을 이용한 진단, 수술 등 관련 비즈니스 모델에 해당하고, Cluster-2는 H04L과 H04W 및 H04B로 구성된 디지털 통신 기반의 헬스케어 사물인터넷 기술이다. 헬스케어 특허의 기술 융복합 핵심 쌍은 Cluster-1에서 [G16H-A61B]와 [G16H-G06Q] 이고, Cluster-2에서는 [H04L-H04W] 이다. 본 연구는 헬스케어 특허의 기술 개발 동향과 앞으로의 특허 출원에 기여할 수 있다.

• 한국산학기술학회논문지
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• 제13권8호
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• pp.3477-3485
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• 2012

본 논문은 혁신클러스터 추진의 전략방향 설정을 위해서 클러스터 현황을 클러스터분석을 통하여 살펴보았다. 클러스터 분석은 클러스터 내에서 일어나는 다양한 형태의 협력을 파악하고 정책적인 대안의 도출을 위해 활용되는 실제적인 분석도구이다. 이에 본 논문에서는 광교테크노밸리의 발전단계에 따른 협력현황 분석을 위하여 산학연협력체계 분석과 진단을 위한 클러스터분석(Cluster Analysis)을 실시하였다. 클러스터 분석결과 광교테크노밸리내 입주기업의 산학연 협력경험은 67.3%로 매우 높은 것으로 나타났다. 대학과 기업과는 연구개발, 연구기관과는 장비활용 중심으로 협력하고 있었다. 또한, 산학연 협력의 지원정책수요는 협력기관 현황제공, 기술별 정보취득 지원 등 다양한 부문에서 협력의 수요가 존재하고 있었다. 이러한 분석결과를 토대로 혁신클러스터 구성단계를 넘어서 확장단계로 발전하기 위해서는 첫째, 혁신클러스터 발전을 위한 새로운 비전을 조속히 제시하고 단지인근에서 입주기업의 산학연협력의 활성화를 위한 지원을 추진해야 한다. 둘째, 혁신클러스터 단계별 발전을 위한 통합적인 지원역량 강화가 필요하다. 마지막으로 인근의 타 혁신거점과 정책적 네트워크 구축을 통해서 타 혁신클러스터의 자원과 역량을 활용할 수 있는 지원망 구축이 필요하다.

• 기술혁신학회지
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• 제6권3호
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• pp.373-390
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• 2003

With limited resources, proper allocation of the national R&D budget is very crucial matter for reinforcing the national competence, and the importance of selecting strategic R&D fields have been increasingly emphasized by technology policy-makers and CTOs. This paper deals with technology relevance/cluster analysis, which measures technological dependency and relevancy among technologies, and how it can be used for selecting the strategic R&D fields especially satisfying SMEs(small and medium enterprises)' specific needs. As a result of this study, technology-product tree composed of 7 major technology fields, 22 clusters, 41 groups, 335 core-need technologies and hundreds of related business items are produced that can be used for designing SMEs' R&D/business portfolio as well as R&D investment decision-making of the Ministry of Small and Medium Business Administration.

• The Journal of Asian Finance, Economics and Business
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• 제3권2호
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• pp.51-57
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• 2016

The aim of this study is to examine of the cluster approach to ensure high rates of innovation, information and communication enterprises of information technology cluster in order to enhance the competitiveness of regions. Keeping with the previous literature, the present research determined that the novelty of the problem, concerning of the creation IT clusters as drivers of new generation, i.e. a kind of platform of "startup accelerators" through the creation of previously not existing in the country high-tech industries and sectors of the economy. The study employs system approach involves to determine prospective directions of the formation of clusters of IT industry, also applies structured approach to shows relationships between elements of cluster systems (participants of cluster), as well as focusing on some aspects of cluster development such as networking. Based on this analysis we have proposed to create clusters in regions, which can play the role of translator's innovations at the periphery of the country. This research shows that formation of IT clusters is one of the most successful tools to avoid of dependence of Kazakhstan from raw materials.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.998-1007
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• 2018

The advent of Wireless Sensor Networks (WSN) has led to their use in numerous applications. Sensors are autonomous in nature and are constrained by limited resources. Designing an autonomous topology with criteria for economic and energy conservation is considered a major goal in WSN. The proposed honey-hive clustering consumes minimum energy and resources with minimal transmission delay compared to the existing approaches. The honey-hive approach consists of two phases. The first phase is an Intra-Cluster Min-Max Discrepancy (ICMMD) analysis, which is based on the local honey-hive data gathering technique and the second phase is Inter-Cluster Frequency Matching (ICFM), which is based on the global optimal data aggregation. The proposed data aggregation mechanism increases the optimal connectivity range of the sensor node to a considerable degree for inter-cluster and intra-cluster coverage with an improved optimal energy conservation.

• 반도체디스플레이기술학회지
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• 제15권2호
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• pp.20-25
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• 2016

The parallel computer cluster system has been known as the powerful tool to solve a complex physical phenomenon numerically. The numerical analysis of large size of Li-ion battery pack, which has a complex physical phenomenon, requires a large amount of computing time. In this study, the numerical analyses were conducted for comparing the computing efficiency between the single workstation and the parallel cluster system both with multicore CPUs'. The result shows that the parallel cluster system took the time 80 times faster than the single work station for the same battery pack model. The performance of cluster system was increased linearly with more CPU cores being increased.

• Journal of Microbiology and Biotechnology
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• 제21권11호
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• pp.1127-1142
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• 2011

The aim of this investigation was to select effective Pseudomonas sp. strains that can enhance the productivity of soybean-wheat cropping systems in Vertisols of Central India. Out of 13 strains of Pseudomonas species tested in vitro, only five strains displayed plant growth-promoting (PGP) properties. All the strains significantly increased soil enzyme activities, except acid phosphatase, total system productivity, and nutrient uptake in field evaluation; soil nutrient status was not significantly influenced. Available data indicated that six strains were better than the others. Principal component analysis (PCA) coupled cluster analysis of yield and nutrient data separated these strains into five distinct clusters with only two effective strains, GRP3 and HHRE81 in cluster IV. In spite of single cluster formation by strains GRP3 and HHRE81, they were diverse owing to greater intracluster distance (4.42) between each other. These results suggest that the GRP3 and HHRE81 strains may be used to increase the productivity efficiency of soybean-wheat cropping systems in Vertisols of Central India. Moreover, the PCA coupled cluster analysis tool may help in the selection of other such strains.

• International Journal of Contents
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• 제16권4호
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• pp.39-49
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• 2020

The goal of this research was to understand the patterns of multidimensional engagement in MOOCs. An email with an online survey link was sent to enrollees in an MOOC course. The survey included 35 questions asking about engagement, teaching presence, and learning persistence. The items were validated in the literature, revised for the MOOC setting, reviewed by four professionals in the field of educational technology, and used in the study. A heterogeneous group of 170 individuals gathered through convenience sampling participated in the study. With cluster analysis of the engagement data, three groups were identified: Cluster1, 2, and 3. Cluster 1 scored high on behavioral, emotional, and cognitive engagement. Cluster 2 scored high on behavioral aspects but low on emotional and cognitive engagement. Cluster 3 scored low on behavioral and cognitive engagement but high on emotional aspects. The study addressed cluster-specific learner characteristics and differences in perceived teaching presence and learning persistence. Design strategies pertaining to each cluster were further discussed. These strategies may guide instructors and practitioners in the design and management of MOOCs and should be further validated through future studies.