• Title/Summary/Keyword: Knowledge Network

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A Study on the Regional Knowledge-Information Service: Focusing on Public Libraries in Korea and Japan (지역 지식정보서비스에 관한 연구 - 한국과 일본의 공공도서관을 중심으로 -)

  • Park, Hyun-Hee;Lee, Sung-Sook
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.3
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    • pp.393-412
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    • 2015
  • The purpose of this study is to suggest development plan of the Regional knowledge information services through the case study analysis between Korea and Japan public libraries. For this purpose, we analyzed literature related to the Regional knowledge information services, performed case study, and carried out a investigation which focuses on a public libraries webpage. According to the analysis, the development plan for the Regional knowledge information services was suggested as follow; that is user-friendly service, internal cooperation, external network cooperative strategy, visible public relations and recognition improvement. This study has aimed to prepare for the basic data which will help Korea public libraries to make better Regional knowledge information services in the future.

Advanced performance evaluation system for existing concrete bridges

  • Miyamoto, Ayaho;Emoto, Hisao;Asano, Hiroyoshi
    • Computers and Concrete
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    • v.14 no.6
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    • pp.727-743
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    • 2014
  • The management of existing concrete bridges has become a major social concern in many developed countries due to the large number of bridges exhibiting signs of significant deterioration. This problem has increased the demand for effective maintenance and renewal planning. In order to implement an appropriate management procedure for a structure, a wide array of corrective strategies must be evaluated with respect to not only the condition state of each defect but also safety, economy and sustainability. This paper describes a new performance evaluation system for existing concrete bridges. The system evaluates performance based on load carrying capability and durability from the results of a visual inspection and specification data, and describes the necessity of maintenance. It categorizes all girders and slabs as either unsafe, severe deterioration, moderate deterioration, mild deterioration, or safe. The technique employs an expert system with an appropriate knowledge base in the evaluation. A characteristic feature of the system is the use of neural networks to evaluate the performance and facilitate refinement of the knowledge base. The neural network proposed in the present study has the capability to prevent an inference process and knowledge base from becoming a black box. It is very important that the system is capable of detailing how the performance is calculated since the road network represents a huge investment. The effectiveness of the neural network and machine learning method is verified by comparing diagnostic results by bridge experts.

The Role of Internal and Network Constraints on Alliance Ambidexterity Decisions in Technology Intensive Industries

  • Vlas, Radu;Vlas, Cristina
    • Asia pacific journal of information systems
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    • v.26 no.2
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    • pp.299-321
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    • 2016
  • Previous studies on strategic alliance formation have largely overlooked the effects that organizations' routine development can have on the relationship between organizations' network position and their alliance ambidexterity strategy. This study extends ambidexterity research by adding internal and network perspectives and examining their cumulative effects on alliance ambidexterity. We first acknowledge the interplay between organizations' internal knowledge exploration/exploitation strategies and organizations' alliance ambidexterity and determine that organizations with a high level of internal knowledge breadth are more likely to make focused alliance decisions. Second, our analysis of 145 US-based information technology organizations with an active alliance behavior reveals that having well-formed routines as a result of previous collaborations strengthens the tendency of brokerage organizations to follow alliances that focus on either exploration or exploitation. Although most alliance studies have commonly argued in favor of an ambidextrous approach, this study provides critical evidence that both internal knowledge exploration/exploitation strategies and development of routines constrain organizations' alliance formation decisions, guiding them towards a more focused approach.

Knowledge Evaluation of Individual Competence for Virtual Project Organization (가상 프로젝트 조직의 개인관점 지식역량 평가)

  • Lee, Kyung-Huy;Kim, Cheol-Han;Woo, Hoon-Shik
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.4
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    • pp.133-141
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    • 2012
  • Virtual project organization may be recognized as one of the promising business models in which many knowledge sources externalize through cross boundaries of knowledge-based organizations. This paper proposes a knowledge competence evaluation of virtual project organization based on the following perspectives: 1) Individual knowledge perspective, 2) Activity-oriented knowledge perspective, and 3) Knowledge-driven social network perspective. In the framework, individual knowledge competence having experienced or learned from knowledge-based activities and virtual networks in the project, should be evaluated according to the assumption that knowledge and collaboration competence depends on the activities and networks acquired proportionally by the past participation to projects. An illustrative SI example is given in order to validate the proposed evaluation and computing procedure.

Online Social Network Interactions: A Cross-cultural Comparison of Network Structure on McDonald's Facebook Sites between Taiwan and USA

  • Chang, Hui-Jung
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.4
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    • pp.5-26
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    • 2017
  • A cross-cultural comparison of social networking structure on McDonald's Facebook fan sites between Taiwan and the USA was conducted utilizing the individualism/collectivism dimension proposed by Hofstede. Four network indicators are used to describe the network structure of McDonald's Facebook fan sites: size, density, clique and centralization. Individuals who post on both Facebook sites for the year of 2012 were considered as network participants for the purpose of the study. Due to the huge amount of data, only one thread of postings was sampled from each month of the year of 2012. The final data consists of 1002 postings written by 896 individuals and 5962 postings written by 5532 individuals from Taiwan and the USA respectively. The results indicated that the USA McDonald's Facebook fan network has more fans, while Taiwan's McDonald's Facebook fan network is more densely connected. Cliques did form among the overall multiplex and within the individual uniplex networks in two countries, yet no significant differences were found between them. All the fan networks in both countries are relatively centralized, mostly on the site operators.

An Optimized Deep Learning Techniques for Analyzing Mammograms

  • Satish Babu Bandaru;Natarajasivan. D;Rama Mohan Babu. G
    • International Journal of Computer Science & Network Security
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    • v.23 no.7
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    • pp.39-48
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    • 2023
  • Breast cancer screening makes extensive utilization of mammography. Even so, there has been a lot of debate with regards to this application's starting age as well as screening interval. The deep learning technique of transfer learning is employed for transferring the knowledge learnt from the source tasks to the target tasks. For the resolution of real-world problems, deep neural networks have demonstrated superior performance in comparison with the standard machine learning algorithms. The architecture of the deep neural networks has to be defined by taking into account the problem domain knowledge. Normally, this technique will consume a lot of time as well as computational resources. This work evaluated the efficacy of the deep learning neural network like Visual Geometry Group Network (VGG Net) Residual Network (Res Net), as well as inception network for classifying the mammograms. This work proposed optimization of ResNet with Teaching Learning Based Optimization (TLBO) algorithm's in order to predict breast cancers by means of mammogram images. The proposed TLBO-ResNet, an optimized ResNet with faster convergence ability when compared with other evolutionary methods for mammogram classification.

Assessment of Implementing Lessons-Learned System to Improve Effectiveness of Intranet at Construction Company (건설정보화의 효율적 활용을 위한 국내 건설업체의 경험지식시스템(LLS) 실태 분석 및 의식조사 연구)

  • Kim, Dae-Young
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.1 s.29
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    • pp.159-167
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    • 2006
  • Better utilization of the knowledge of employees in any organization has long been accepted as a vital component of a corporation's competitiveness. This has been considered even more important in the construction industry due to the dynamic and intermittent nature of construction projects. With the rapid advance of network technologies during the last decade, construction companies quickly shifted their focus of knowledge management to interactive online repositories. However, the efforts of leveraging organizational knowledge has remained fragmented in the construction industry until recent years. In addition, companies have begun to realize that actual returns on this investment in network technologies would be far less than initial expectations if online efforts do not incorporate companies' general offline knowledge management efforts, which are done without the use of computer network. Thus, this paper focused on assessment of implementing current Lessons-Learned Systems at the large construction companies in Korea to provide the foundation for developing a renovated conceptual Lessons-Learned System model.

Building Innovation System of Daeduck Valley Based on Knowledge Production Network (대덕밸리의 지식생산 네트워크 기반의 혁신체제구축)

  • 이승철
    • Journal of the Korean Geographical Society
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    • v.38 no.2
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    • pp.237-256
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    • 2003
  • The main aim of this paper is to provide a plan for building an effective and competitive innovation system of Daeduck Valley in Korea through analysing the process of knowledge production and commercialisation of venture firms in the perspective of industry-(university) research networks. Since 1997, with the willingness of the government aimed at building' second Sillicon Valley', an ostensible innovation system cantered around the existing science technology town has been able to be built in Daeduck Valley. Nonetheless, some fundamental problems with the knowledge production and commercialisation of venture firms were appeared as the results of this study. It is led tv not only the lack of network agents and institutes that are able to facilitate and coordinate the networks of economic actors comprised of the innovation system, but also the impertinent roles of economic actors. In particular, these problems were differentiated in accordance with the growth stage of venture firms and the processes of knowledge production. Therefore, several policy implications for building innovation system are suggested in the perspective of the complement of existing innovation system of Daeduck, rather than constructing a new innovation system. At the same time, they are provided in accordance with different growth stages and knowledge production processes.

A Study on the Network Generation Methods for Examining the Intellectual Structure of Knowledge Domains (지적 구조의 규명을 위한 네트워크 형성 방식에 관한 연구)

  • Lee Jae-Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.40 no.2
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    • pp.333-355
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    • 2006
  • Network generation methods to visualize bibliometric data for examining the intellectual structure of knowledge domains are investigated in some detail. Among the four methods investigated in this study, pathfinder network algorithm is the most effective method in representing local details as well as global intellectual structure. The nearest neighbor graph, although never used in bibliometic analysis, also has some advantages such as its simplicity and clustering ability. The effect of input data preparation process on resulting intellectual structures are examined, and concluded that unlike MDS map with clusters, the network structure could be changed significantly by the differences in data matrix preparation process. The network generation methods investigated in this paper could be alternatives to conventional multivariate analysis methods and could facilitate our research on examining intellectual structure of knowledge domains.

RBFN기법을 활용한 적응적 사례기반 설계

  • Jeong, Sa-Beom;Im, Tae-Su
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.10a
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    • pp.237-240
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    • 2005
  • This paper describer a design expert system which determines the design values of shadow mask using Case-Based Reasoning. In Case-Based Reasoning, it is important to both retrieve similar cases and adapt the cases to meet the design specifications exactly. Especially, the difficulty in automating the adaptation process will prevent the designers from using the design expert systems efficiently and easily. This paper explains knowledge-based design support systems for shadow mask through neural network-based case adaptation. Specifically, we developed 1) representing design knowledge and 2) adaptive case-based reasoning method using RBFN (Radial Basis Function Network).

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