• Title/Summary/Keyword: Knowledge cluster

Search Result 327, Processing Time 0.027 seconds

A Study on the Spatial Characteristics of the Business Services Cluster in Metropolitan Seoul (대도시 사업서비스업클러스터의 공간적 특성에 관한 연구)

  • Pak Rae-Hyeon;Jeong Byeong-Sun
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.8 no.2
    • /
    • pp.195-215
    • /
    • 2005
  • This study was carried into execution to analyze Spatial Characteristics of Seoul Business Services Cluster in circumstance of local economic development led by knowledge-intensive business services. The analysis was performed for industrial agglomeration and companies' linkage and network. As the result, there are three business services cluster, including the largest one in Gang-Nam Gu, Seoul, and for last 10 years, there has been increasing development of business services cluster. In the meanwhile, their linkage and network have not been performed briskly. Therefore, from now on, a plan that can help companies' linkage and network performed inside of cluster to have active and international structure has to be considered in cluster policy.

  • PDF

Recent Clinical Research on Acupuncture Therapy for Cluster Headache (군발성 두통에 대한 최근 침치료 연구 동향)

  • Sung-eun Kim;Ae-ri Lee;In Lee
    • The Journal of Internal Korean Medicine
    • /
    • v.44 no.6
    • /
    • pp.1197-1211
    • /
    • 2023
  • Objectives: This study presents evidence by analyzing the research trends in acupuncture treatment for cluster headache in the last 10 years. Methods: Randomized controlled trials (RCTs) about acupuncture for cluster headache were searched from the China National Knowledge Infrastructure, PubMed, Cochrane Library, Oriental Medicine Advanced Searching Integrated System, ScienceON, Korean Studies Information Service System, and Research Information Sharing Service. The search terms were the combinations of "cluster headache", "acupuncture", and "needle therapy", and the articles were restricted to those published between 2013 and 2023. Only RCTs were selected. The risk of bias (RoB) was assessed according to the revised Cochrane RoB2 criteria. Results: Six RCTs were selected and analyzed in this review. All selected studies were conducted in China. All RCTs comprised 628 participants. Manual acupuncture was used in all studies. Acupuncture targeting the sphenopalatine ganglion was performed in two papers published after 2020. ST8, Ex-HIN3, and GB14 were the most frequently used acupoints in acupuncture treatment. The most commonly used indicators for evaluation were headache attack frequency, clinical efficacy, and the visual analog scale. In each study, adding acupuncture treatment to conventional therapy had significant effects in relieving the symptoms of cluster headaches. Conclusion: The results suggest that acupuncture is an effective treatment for cluster headache. To ensure objective evidence for the effectiveness of acupuncture treatment in cluster headache, it is important to continue large-scale case reports and RCTs.

A Study on the Development of Effective Regional IT Cluster (효과적인 지역IT 클러스터의 구축방안에 관한 연구)

  • Kim, Hee-Dae;Yoo, Sang-Jin;Kim, Kap-Sik
    • Information Systems Review
    • /
    • v.5 no.2
    • /
    • pp.241-256
    • /
    • 2003
  • This empirical study is to explain critical success factors for building effective regional IT cluster from the literature reviews which have some limitations, and is to suggest new key factors from the views of Regional Innovation System and Sectoral Systems of Innovation. For building successful cluster, the new key factors not only stress on regional networks, the spill-over of tacit knowledge through learning by interacting, institutions which contain regional custom, norms, established practices, culture, and characteristics from the Regional Innovation System, but also emphasize on heterogeneous agents who are interacting by each others from Sectoral Systems of Innovation. From these factors we suggest some strategies for building effective "Daegu IT Cluster" as following; making characterized IT brands which are selected and concentrated based on regional and IT sectoral characteristics, strengthening learning competence of tacit knowledge built in multiple heterogeneous agents network, establishing strong agent networks which are composed of universities, companies, institutes and government, and sharing the institution of mind-opening culture in order to correspond with environmental changes and link to other industrial clusters. By putting above strategies in force, the compatabilities of Daegu region are reinforced. Tacit knowledges spill over and the regional innovation competence are accumulated. Also IT cluster plays core role of employment in Daegu for long term. Especially, "Daegu IT Cluster" changes city's image from medium and small manufacturing city to new industrial city based on high technologies.

Development of the KnowledgeMatrix as an Informetric Analysis System (계량정보분석시스템으로서의 KnowledgeMatrix 개발)

  • Lee, Bang-Rae;Yeo, Woon-Dong;Lee, June-Young;Lee, Chang-Hoan;Kwon, Oh-Jin;Moon, Yeong-Ho
    • The Journal of the Korea Contents Association
    • /
    • v.8 no.1
    • /
    • pp.68-74
    • /
    • 2008
  • Application areas of Knowledge Discovery in Database(KDD) have been expanded to many R&D management processes including technology trends analysis, forecasting and evaluation etc. Established research field such as informetrics (or scientometrics) has utilized techniques or methods of KDD. Various systems have been developed to support works of analyzing large-scale R&D related databases such as patent DB or bibliographic DB by a few researchers or institutions. But extant systems have some problems for korean users to use. Their prices is not moderate, korean language processing is impossible, and user's demands not reflected. To solve these problems, Korea Institute of Science and Technology Information(KISTI) developed stand-alone type information analysis system named as KnowledgeMatrix. KnowledgeMatrix system offer various functions to analyze retrieved data set from databases. KnowledgeMatrix's main operation unit is composed of user-defined lists and matrix generation, cluster analysis, visualization, data pre-processing. Matrix generation unit help extract information items which will be analyzed, and calculate occurrence, co-occurrence, proximity of the items. Cluster analysis unit enable matrix data to be clustered by hierarchical or non-hierarchical clustering methods and present tree-type structure of clustered data. Visualization unit offer various methods such as chart, FDP, strategic diagram and PFNet. Data pre-processing unit consists of data import editor, string editor, thesaurus editor, grouping method, field-refining methods and sub-dataset generation methods. KnowledgeMatrix show better performances and offer more various functions than extant systems.

Protein-ligand interactions from the perspective of binding specificity

  • Ahmad, Shandar
    • Proceedings of the Korean Society for Bioinformatics Conference
    • /
    • 2003.10a
    • /
    • pp.4-4
    • /
    • 2003
  • A large number of in-vitro experiments on the inhibition of kinases and pretenses are reported in literature, and compiled by ProLINT database. Using this powerful wealth of knowledge, we have carried our an analysis of ligand specificity of these two classes of proteins. Each of the pretenses and kinases included in the database has been assigned a consensus ligand fragment signature, based on the available information about its interaction with different ligands. A set of 43 fragments efficiently represent every ligand. We have then organized the consensus fragment signatures for every protein in form of a cluster-tree diagram. This tree is also constructed from other sequence, structure and physical considerations. Cluster-cluster comparison between these analyzes provide a valuable information about ligand specific interactions and similarities between proteins.

  • PDF

Knowledge Towards HPV infection and HPV Vaccines among Syrian Mothers

  • Alsaad, Mohammed A.;Shamsuddin, Khadijah;Fadzil, Fariza
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.13 no.3
    • /
    • pp.879-883
    • /
    • 2012
  • Cervical cancer is caused by HPV infection and can be prevented by early vaccination. Objective: To assess Syrian women's level of knowledge and determinants of good knowledge of cervical cancer, HPV infection and its vaccines. Methods: A cross sectional survey was undertaken among mothers with daughters in sixth grade classes enrolled in primary schools in Aleppo city, Syria. Samples were selected through cluster sampling and data collected using a self-administered questionnaire. Results: Less than a third of the mothers had heard of HPV infection and vaccines against cervical cancer and levels of knowledge were generally low. Good knowledge was associated with high education level, higher family monthly income, having few - less than four children, positive history of cervical cancer screening, and working or having relatives working in the medical field. The main source of information was television and few reported health care providers as a source of knowledge on HPV infection and vaccine. Conclusion: Since knowledge of HPV infection and its connection with cervical cancer and its vaccine are low, more efforts must be made to educate Syrians prior to introduction of any HPV vaccination programme. Public health efforts must focus on educating mothers, the public as well as health care providers.

Relationship among Activities, Knowledge, and Skills of Information System Practitioners (IS 실무자의 업무 활동과 IS 지식 및 소프트웨어 전문 기술 간의 관계에 대한 실증 연구)

  • Koh, Seok-Ha;Lee, Hyun-Woo;Kyung, Won-Hyun
    • Journal of Information Technology Applications and Management
    • /
    • v.15 no.1
    • /
    • pp.153-181
    • /
    • 2008
  • Cluster analysis according to the activities IS practitioners perform shows that IS practitioners can be broadly categorized into two groups, generalists and specialists: generalists allocate their work time relatively evenly across the activities while specialists allocate more time on some specific activities than on other activities. Empirical findings also show that generalists and specialists are required to possess different configurations of IS knowledge and skills respectively to do their work successfully and that they possess different configurations of IS knowledge and skills. Empirical findings reveal that specialists change the activities they do mainly as their carrier evolves while generalists do not.

  • PDF

Determination of Optimal Cluster Size Using Bootstrap and Genetic Algorithm (붓스트랩 기법과 유전자 알고리즘을 이용한 최적 군집 수 결정)

  • Park, Min-Jae;Jun, Sung-Hae;Oh, Kyung-Whan
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.13 no.1
    • /
    • pp.12-17
    • /
    • 2003
  • Optimal determination of cluster size has an effect on the result of clustering. In K-means algorithm, the difference of clustering performance is large by initial K. But the initial cluster size is determined by prior knowledge or subjectivity in most clustering process. This subjective determination may not be optimal. In this Paper, the genetic algorithm based optimal determination approach of cluster size is proposed for automatic determination of cluster size and performance upgrading of its result. The initial population based on attribution is generated for searching optimal cluster size. The fitness value is defined the inverse of dissimilarity summation. So this is converged to upgraded total performance. The mutation operation is used for local minima problem. Finally, the re-sampling of bootstrapping is used for computational time cost.

Generic Document Summarization using Coherence of Sentence Cluster and Semantic Feature (문장군집의 응집도와 의미특징을 이용한 포괄적 문서요약)

  • Park, Sun;Lee, Yeonwoo;Shim, Chun Sik;Lee, Seong Ro
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.16 no.12
    • /
    • pp.2607-2613
    • /
    • 2012
  • The results of inherent knowledge based generic summarization are influenced by the composition of sentence in document set. In order to resolve the problem, this papser propses a new generic document summarization which uses clustering of semantic feature of document and coherence of document cluster. The proposed method clusters sentences using semantic feature deriving from NMF(non-negative matrix factorization), which it can classify document topic group because inherent structure of document are well represented by the sentence cluster. In addition, the method can improve the quality of summarization because the importance sentences are extracted by using coherence of sentence cluster and the cluster refinement by re-cluster. The experimental results demonstrate appling the proposed method to generic summarization achieves better performance than generic document summarization methods.

A Study on the Success Factors of Innovation Cluster: A Case of the Pangyo Techno Valley in South Korea (혁신클러스터의 성공 요인에 관한 연구 : 판교테크노밸리 사례를 중심으로)

  • Chung, Giduk;Im, Jongbin;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
    • /
    • v.20 no.4
    • /
    • pp.970-988
    • /
    • 2017
  • As an innovation cluster has become an important policy tool for attaining regional and national competitiveness, many nations and regions are making great efforts to foster innovation clusters. In the case of Korea also, many innovation clusters have been established and some of them are recently receiving a lot of attention due to their performance. In fact, there have been lots of investment by the central and regional governments. However, there have been no in-depth analyses on Korean successful innovation clusters. This study investigates some of the success factors of a Korean representative innovation cluster, Pangyo Techo Valley. We find out that the Pangyo Techno Valley has four groups of success factors: innovative environment, consistent policy support by regional government, knowledge networks, and good feed-back system of innovation. Our findings would have some theoretical and practical implications for innovation cluster research and policy practice.