• Title/Summary/Keyword: 특징점클러스터

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A Study On Clusters and Ecosystem In Distribution Industry Using Big Data Analysis (빅데이타 분석을 통한 유통산업 클러스터의 형성과 생태계 연구)

  • Jung, Jaeheon
    • The Journal of the Korea Contents Association
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    • v.19 no.7
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    • pp.360-375
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    • 2019
  • This paper tries to study the ecosystem after constructing the network of the continuing transactions associated with distribution industry with the data of more than 50 thousands firms provided by the Korean enterprise data (KED) for 2015. After applying the clustering method, one of social network analysis tools, we find the firms in the network grouped into 732 clusters occupying about 80% of whole distribution industry sales in KED data. The firms in a cluster have most of their transactions with other firms in the cluster. But the clusters have smaller firm numbers in the cluster and sales portion of the biggest firms in the industry than the case of the manufacturing industry. The Input-output analysis for the biggest distribution firms show that the small and medium size enterprise(SME)s have very high sale dependency on a main firm in some clusters. This fact implies more efficient fair transaction policies within the clusters. And small number of big distribution firms have very high rear production linkage effects on SMEs or on the 10th or 31th group with high portion of SME employment. They should be considered important in the SME growth and employment policies.

Features Extraction Method of Segmented pixels for Handwritten Numeral Recognition (필기체 숫자인식을 위한 분절된 화소들의 특징추출 방법)

  • Choi, Yong-Ho;Cho, Beom-Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.557-560
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    • 2002
  • 본 논문에서 제안하는 분절된 화소들의 특징추출 방법은 이진화 영상에서 수직/수평 화소들의 분절점을 탐색하여 추출하는 특징 탐색기이다. 숫자의 구조적인 면을 고려하여 사소한 부분들도 명확한 특징으로 탐지하여 추출하였고, 이러한 방법은 일반적으로 사용하여지는 특징추출 방법 몇가지를 선택하여 이용하였고, 제안하는 방법과 결합하여 필기체 숫자를 인식하였다. 인식기를 구현하기 위하여 3 개층 구조를 갖는 클러스터 MLP 신경망을 사용하였다. 실험 결과 단순히 일반적인 특징만을 활용하여 얻는 인식률 보다 훨씬 향상됨을 보여주었다.

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The Opportunities and Limitations of Building an Innovation Cluster Based on Large Scale Research Facilities: Implications for Developing and Advancing the Korean International Science-Business Belt (거대연구장비 기반 혁신클러스터 건설의 가능성과 한계: 국제과학비즈니스벨트 조성 및 발전을 위한 시사점)

  • Ji, Ilyong;Kim, Byung-Keun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.165-174
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    • 2016
  • This paper examined opportunities and limitations of building an innovation cluster based on large scale research facilities (LSRF). For this purpose, success factors of innovation clusters were drawn from the literature, and categorized into knowledge & technology, transaction cost & agglomeration economies, hardware & software infrastructure, and government policy & strategy. Utilizing the categorization as an analytic framework, case studies of CERN and SPring-8 were performed. The results showed that there were various innovation processes for both cases, creating opportunities for developing innovation clusters in terms of knowledge and technology. On the other hand, in the case of SPring-8, there were disadvantages in the transaction cost and agglomeration economies, being located in a remote area due to the nature of the facility. Software & hardware infrastructure of SPring-8 limited its potential for innovation clusters. Regarding government policy and strategy, CERN, as a multinational institution, did not consider an innovation cluster in a specific region despite some advantages. An innovation cluster around SPring-8 was promoted by government policy despite some disadvantages. In other words, the advantages and disadvantages were enhanced or complemented by software & hardware infrastructure and government policy & strategy. Based on the results, this paper provides the implications for the Korean International Science-Business Belt.

Regionalism and Globalism of the Animation Industry : The Case Study of Chuncheon Animation Cluster (애니메이션 산업의 지역화와 국제화 : 춘천 애니메이션 클러스터에 관한 사례연구)

  • Kwon, Jae-Woong
    • Cartoon and Animation Studies
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    • s.12
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    • pp.56-72
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    • 2007
  • The purpose of this study is to analyze the characteristics of animation cluster in Chuncheon. It has been over 10 years since Chuncheon was designated as the cluster raising the animation industry. The Chuncheon cluster is trying to differentiate through managing several unique strategies. In order to realize the micro-regionalism, it focuses on co-production not with domestic companies but with foreign companies. Especially, for establishing the whole concrete production pipe-line, it concerns to make co-production contracts dealing with not only for the main production part but also pre- and post-production parts. Based on these production experience, it is building the production complex in the name of ICT convergence cluster. The changed role of the policy-management organization(Gangwon Information & Multimedia Corporation, GIMC) enables these differentiated strategies by itself. The establishment of the Asian Animation Round(AAR) is recognized as the characteristic of macro-regionalism. Starting from the year of 2006, the AAR tries to place Chuncheon as the hub of animation production in Asia and focuses on constructing the network of animation production countries that have developed their production capabilities through sub-contracts. This type of production and market bloc has not been made before.

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Advanced Mountain Clustering Method (개선된 산 클러스터링 방법)

  • 이중우;손세호;권순학
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.1
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    • pp.1-8
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    • 2001
  • 본 논문에서는 정규화된 데이터 공간과 가우스함수에 의한 산 함수 형성 그리고 형성된 산의 기울기를 이용한 산봉우리 붕괴를 특징으로 하는 개선된 산 클러스터링 방법을 제안한다. 이 개선된 방법은 기존의 Yager 등에 의하여 제안된 방법이 조정해야 하는 매개변수가 3개이고 발견된 클러스터 중심 주위에 원치 않는 다른 중심이 발생할 수 있는데 반하여 단지 하나의 매개변수 $\omega$의 조정으로 더욱 타당한 중심을 찾아내는 점에서 유용하다 할 수 있다. 또한 매개변수 $\omega$에 대한 적절한 선정 방법을 제시하고, 수치 자료에 대한 컴퓨터 모의실험을 통하여 개선된 산 클러스터링 방법의 유용성을 입증한다.

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A Study on the Outcome Analysis of the Local Cluster Based on the Animation Industry (지역 애니메이션 산업 클러스터의 진흥 성과 진단 연구)

  • Seo, Jeong-Soo
    • Cartoon and Animation Studies
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    • s.28
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    • pp.209-233
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    • 2012
  • The animation cluster in Korea has begun as a part of the local cultural cluster in the late 1990s with components of companies, local governments, educational institutions, and human resources, which were necessary to run the cluster. And, the animation cluster was initiated for the purpose of encouraging regional economies, but the basic unit was the local on a small scale. Because of this inherent weakness in the local cluster, it was needed to add some additional strategies that could expand the local animation industry into the formal leading industry. That is why the development policy was set up, and the local promotion agency based on this policy was established. It has been several years to manage the local promotion agency, and it is reported that there have been some visible effects. But, it is found out that analyzing the outcome of small unit cluster on the basis of existing criteria on a large scale is not reliable, which means it is not possible to evaluate the outcome of local cluster in a material way. Some examples of problems are as follows. First, the local cluster was made not autonomously but deliberately. Second, the animation cluster of each province has the same market as its target. Therefore, this research - on the basis of the diamond model - focuses on analyzing the existence and role of local promotion agencies rather than evaluating the outcome itself. Through the cases of two provincial cities, Chuncheon and Bucheon, this research examines if it is possible to evaluate the outcome of local clusters managed by promotion agencies.

Interaction between Innovation Actors in Innovation Cluster: A Case of Daedeok Innopolis (혁신클러스터 내에서의 혁신주체들 간 상호작용의 변화: 대덕연구개발특구를 중심으로)

  • Lee, Sunje;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.17 no.4
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    • pp.820-844
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    • 2014
  • Various innovation theories, such as innovation system, innovation cluster, triple helix model, are different in their focus. However they all emphasize the interaction between innovation actors in order to generate, diffuse, and appropriate technological innovations successfully. This study analyzes how the interaction of innovation actors in Daedeok Innopolis has been changed since the introduction of innovation cluster policy like the designation of Daedeok Innopolis. Based on the analysis of survey data, Innopolis statistics, and patent joint-application data, we come to the conclusions that the Daedeok Innopolis has characteristics of multi-level governance structure, in which innovation cluster, i.e. Daedeok Innopolis, regional innovation system, and national innovation system directly overlap under the framework of innovation system. In addition, from the perspectives of triple helix model, we are able to verify that the inter-domain interactions between innovation actors, such as tri-lateral network, have been constantly increased in the Daedeok Innopolis. Based on our analysis, we identify some policy suggestions in order to strengthen the competitiveness of the Daedeok Innopolis as well as other innovation clusters in Korea. First, the network activities between innovation actors within innovation cluster should be strengthened based on the geographical accessibility. Second, private intermediate organizations should be established and their roles should be extended. Third, the entrepreneurial activities of universities within innovation cluster should be strengthened. In other words, the roles of universities within the Innopolis should be activated. Finally, the government should provide relevant policy supports to activate the interactions between innovation actors within innovation cluster.

A Kafka-based Data Sharing Method for Educational Video Services (교육 동영상 공유 서비스의 카프카 기반 데이터 공유 방안)

  • Lee, Hyeon sup;Kim, Jin-Deog
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.574-576
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    • 2021
  • It is necessary to introduce micro-service techniques when constructing large-scale operating systems or systems that take into account scalability. Kafka is a message queue with the pub/sub model, which has features that are well applied to distributed environments and is also suitable for microservices in that it can utilize various data sources. In this paper, we propose a data sharing method for educational video sharing services using Apache's Kafka. The proposed system builds a Kafka cluster for the educational video sharing service to share various data, and also uses a spark cluster to link with recommendation systems based on similarities in educational videos. We also present a way to share various data sources, such as files, various DBMS, etc.

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Cluster-Based Similarity Calculation of IT Assets: Method of Attacker's Next Targets Detection

  • Dongsung Kim;Seon-Gyoung Shon;Dan Dongseong Kim;Huy-Kang Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.5
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    • pp.1-10
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    • 2024
  • Attackers tend to use similar vulnerabilities when finding their next target IT assets. They also continuously search for new attack targets. Therefore, it is essential to find the potential targets of attackers in advance. Our method proposes a novel approach for efficient vulnerable asset management and zero-day response. In this paper, we propose the ability to detect the IT assets that are potentially infected by the recently discovered vulnerability based on clustering and similarity results. As the experiment results, 86% of all collected assets are clustered within the same clustering. In addition, as a result of conducting a similarity calculation experiment by randomly selecting vulnerable assets, assets using the same OS and service were listed.

Mutual Authentication Mechanism for Secure Group Communications in Sensor Network (센서 네트워크에서의 안전한 그룹통신을 위한 상호 인증 기법)

  • Ko, Hye-Young;Doh, In-Shil;Chae, Ki-Joon
    • The KIPS Transactions:PartC
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    • v.17C no.6
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    • pp.441-450
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    • 2010
  • Recently, a lot of interest is increased in sensor network which gathers various data through many sensor nodes deployed in wired and wireless network environment. However, because of the limitation in memory, computation, and energy of the sensor nodes, security problem is very important issue. In sensor network, not only the security problem, but also computing power should be seriously considered. In this paper, considering these characteristics, we make the sensor network consist of normal sensor nodes and clusterheaders with enough space and computing power, and propose a group key rekeying scheme adopting PCGR(Predistribution and local Collaborationbased Group Rekeying) for secure group communication. In our proposal, we enhance the security by minimizing the risk to safety of the entire network through verifying the new key value from clusterheader by sensor nodes. That is, to update the group keys, clusterheaders confirm sensor nodes through verifying the information from sensor nodes and send the new group keys back to authentic member nodes. The group keys sent back by the clusterheaders are verified again by sensor nodes. Through this mutual authentication, we can check if clusterheaders are compromised or not. Qualnet simulation result shows that our scheme not only guarantees secure group key rekeying but also decreasesstorage and communication overhead.