• Title/Summary/Keyword: process of knowledge generation

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Advanced Design Environmental With Adaptive And Knowledge-Based Finite Elements

  • Haghighi, Kamyar;Jang, Eun
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.1222-1229
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    • 1993
  • An advanced design environment , which is based on adaptive and knowledge -based finite elements (INTELMESH), has been developed. Unlike other approaches, INTEMMESH incorporates the information about the object geometry as well as the boundary and loading conditions to generate an ${\alpha}$-priori finite element mesh which is more refined around the critical regions of the problem domain. INTEMMESH is designed for planar domains and axisymmetric 3-D structures of elasticity and heat transfer subjected to mechanical and thermal loading . It intelligently identifies the critical regions/points in the problem domain and utilize the new concepts of substructuring and wave propagation to choose the proper mesh size for them. INTEMMESH generates well-shaped triangular elements by applying trangulartion and Laplacian smoothing procedures. The adaptive analysis involves the intial finite elements analyze and an efficient ${\alpha}$-posteriori error analysis involves the initial finite element anal sis and an efficient ${\alpha}$-posteriori error analysis and estimation . Once a problem is defined , the system automatically builds a finite element model and analyzes the problem though automatic iterative process until the error reaches a desired level. It has been shown that the proposed approach which initiates the process with an ${\alpha}$-priori, and near optimum mesh of the object , converges to the desired accuracy in less time and at less cost. Such an advanced design/analysis environment will provide the capability for rapid product development and reducing the design cycle time and cost.

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The Role of Sketches in Fashion Design -Focus on a Case Study of a Professional Designer's Process-

  • Lee, Jung Soo
    • Journal of Fashion Business
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    • v.21 no.3
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    • pp.58-66
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    • 2017
  • This study investigated the key role of sketches in creative fashion design by observing the cognitive process of idea development through a professional's design problem solving using the medium of hand sketching. The three-part semi-constrained design experiment with a professional designer, in which the participant designer was provided a source of inspiration image and asked to design a small collection of outfits, identified a fashion designer's idea development process as involving two phases of sketch processes: lateral and vertical transformation. Analysis of the video/audio recording and corresponding interviews validated lateral transformation in the designer's use of sketches to represent interpretation of the provided inspiration source. Through sketching, the designer transferred fuzzy ideas onto paper. Vertical transformation was observed through the designer's modification of previous ideas after reflecting on earlier sketches, with various ideas divided, manipulated, discarded, regrouped, and combined through sketching activities. The designer's sketching process is valuable design knowledge that facilitates the idea development process and ultimately triggers generation of creative ideas. Understanding it may benefit practitioners and educators.

Human Resource Management Implementation as a Process of Sensemaking and Sensegiving (센스형성과 센스전달의 과정으로서 인적자원관리 실행)

  • Han, Sujin;Park, Owwon
    • Knowledge Management Research
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    • v.15 no.1
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    • pp.65-84
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    • 2014
  • Organization's innovation capability is strongly tied to its intellectual capital or knowledge utilization. Employees play a key role in generation of intellectual capital and utilization of knowledge in a firm. Thus, the importance of human resource management (HRM) system for enhancing competency of employees and facilitating knowledge sharing between employees is getting its significance. In this paper, we highlighted the effect of HRM implementation to explain the reason of performance differences among firms, adopting the same ideal HRM system. The successful implementation of HRM system as well as the contents of HRM system was critical to enhance firm performance through HRM system. To investigate the effect of HRM implementation on firm performance, we proposed the three components of HRM implementation (i.e.; TMT philosophy, HR department capability and communication) in perspective of sense making and sense giving theory. Then, we analyzed the moderating effect of HRM implementation on the high commitment HRM - firm performance relationship. Empirical results showed that each component of HRM implementation positively strengthened the relationship between high commitment HRM and firm performance. In addition, the composite index of HRM implementation calculated by average value of three components revealed more significant moderating effect between the two. Furthermore, We discussed the academical and practical implications, and suggested future research directions.

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Investigating Science-Talented Students' Understandings and Meaning Generation about the Earth Systems Based on Their Geological Field Trip Reports (야외지질답사 보고서에 나타난 과학영재학생들의 지구계 이해와 지구계 의미 생성 탐색)

  • Yu, Eun-Jeong;Lee, Sun-Kyung;Kim, Chan-Jong
    • Journal of the Korean earth science society
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    • v.28 no.6
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    • pp.673-685
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    • 2007
  • The purpose of this study was to investigate Earth Systems Understandings (Mayer, 1991) and Earth Systems meaning generation reported by science-talented students who participated in a geological field trip. The eight (4 female and 4 male students) field trip reports were randomly selected among all the reports written by twenty eighth-grade students who joined Shiwha-Lake field trip in Korea. The three-step program, including preparation, field trip, and summary, was provided to the students in order to facilitate meaningful learning through outdoor teaming activities. Seven Earth Systems Understandings and thematic types (Keys, 1999) were used to analyze the reports. The results of this study indicated thai aesthetic views and stewardship toward the Earth, which were the most distinguishing characteristics in Earth Systems Education, were reflected on most of the reports. The results also showed that the students tried to represent their understandings in such a type as meaning extension, meaning enhancement, or meaning elaboration. Overall, many students used 'knowledge-telling' process with a long list of observations and facts, whereas a few students used higher-order 'knowledge-transforming' process by coordinating their findings with interpretations and reasoning in their writings.

Framework for Determining Requirements in the Weapons systems Acquisition Process (무기 획득과정에서의 요구사항 결정 프레임워크)

  • Yun, Ha-Neul;Ok, Young-Ho;Wang, Ji-Nam
    • Journal of the Korean Society of Systems Engineering
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    • v.8 no.1
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    • pp.77-82
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    • 2012
  • In Weapons acquisition process, if the requirements are not clear, it leads to confusion and conflict in business. In the development of next-generation weapons, to define and derive requirements has to start from decision of operational concept. It is difficult task and has many uncertainties. This paper has goal about development of knowledge acquisition process that derive military operational scenario-based requirements acquisition process and framework that classify and save the derived requirements for next project. That framework can generate new class and category, also suggest that verification of requirements. It help to derive and manage the requirements, and make it easy to grasp the requirements. Accordingly, it can help make military requirement plan and weapon acquisition process.

Social Network Approach for Sharing Knowledge: How Can the Structure and Characteristics of Social Networks Support for Sharing Knowledge? (지식 공유에 대한 소셜 네트워크 접근법 : 어떻게 소셜 네트워크의 구조와 특징이 지식 공유를 지원하는가?)

  • Lee, Jeong-Soo
    • Journal of the Korean Society for information Management
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    • v.27 no.2
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    • pp.61-74
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    • 2010
  • The knowledge sharing in a knowledge management process is much affecting generation and distribution of knowledge. Especially, the knowledge distribution is being revitalized with the center of social media service like twitter and library service 2.0 in the knowledge-based IT (Information Technology) environment. The present research analyzed the structure and characteristics of a social network inside an organization that is growing like an organism through self-organization through tools for SNA (Social Network Analysis) and multiple regression analysis of independent variables such as 1) a relationship between social network's structure and knowledge sharing, 2) a relationship between structural holes and knowledge sharing influence of centrality, 3) a relationship between individual ability and knowledge sharing of information technology and work recognition.

A Study on the Environmentally Conscious Machining Technology Cutting Fluid Atomization and Environmental Impact in Grinding Operation (I) (환경 친화적 기계가공 기술에 관한 연구 연삭공정에서의 절삭유 미립화와 환경영향(I))

  • Hwang Joon;Chung Eui-Sik
    • Journal of the Korean Society for Precision Engineering
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    • v.22 no.6 s.171
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    • pp.61-69
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    • 2005
  • This paper presents the experimental results to analyze the atomization characteristics and environmental impact of cutting fluid in grinding process. Grinding is a major machining process to improve surface quality with different machining mechanism which is compared with turning or milling process. The environmental impact due to aerosol generation via grinding process is a major concern associated with environmental consciousness. Experimental results show that the generated fine aerosol which particle size less than 10 micron appears near working zone under given operational conditions. The aerosol concentration is much higher enough to affect human health risk with its generated aerosol quantities. This study can be provided a basic knowledge fur further research of environmental consciousness machining development.

Fault Detection, Diagnosis, and Optimization of Wafer Manufacturing Processes utilizing Knowledge Creation

  • Bae Hyeon;Kim Sung-Shin;Woo Kwang-Bang;May Gary S.;Lee Duk-Kwon
    • International Journal of Control, Automation, and Systems
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    • v.4 no.3
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    • pp.372-381
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    • 2006
  • The purpose of this study was to develop a process management system to manage ingot fabrication and improve ingot quality. The ingot is the first manufactured material of wafers. Trace parameters were collected on-line but measurement parameters were measured by sampling inspection. The quality parameters were applied to evaluate the quality. Therefore, preprocessing was necessary to extract useful information from the quality data. First, statistical methods were used for data generation. Then, modeling was performed, using the generated data, to improve the performance of the models. The function of the models is to predict the quality corresponding to control parameters. Secondly, rule extraction was performed to find the relation between the production quality and control conditions. The extracted rules can give important information concerning how to handle the process correctly. The dynamic polynomial neural network (DPNN) and decision tree were applied for data modeling and rule extraction, respectively, from the ingot fabrication data.

A Study on Ontology Instance Generation Using Keywords (키워드를 활용한 온톨로지 인스턴스 생성에 관한 연구)

  • Han, Kwang-Rok;Kang, Hyun-Min;Sohn, Surg-Won
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.5
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    • pp.1-11
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    • 2010
  • The success of semantic web depends largely on the semantic annotation which systematizes knowledge for the construction and production of ontology. Therefore, the efficiency of semantic annotation is very important in order to change many knowledge expressions and generate into ontology instances. In this paper, we presents a generation system of rule-based ontology instances which are produced accurately and efficiently via semantic annotation in conventional web sites. In conventional studies, the manual process is necessary for finding relevant information, comparing it with ontology, and entering information. We propose a new method that manages keyword data regarding extracted information and rule information separately. Thus, it is quite practical to extract information efficiently from various web documents by adding a small number of keywords and rules. The proposed method shows the possibility of ontology instance generation which reuses the rules and keywords from the various websites.

Development and Validation of a Knowledge Scale for Patients with Breast Cancer (KS-Br) (환자교육을 위한 유방암 환자의 지식측정 도구개발)

  • Lee, Keon-Suk;Lee, Ran;Kim, Soo-Hyun
    • Asian Oncology Nursing
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    • v.10 no.1
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    • pp.59-67
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    • 2010
  • Purpose: The purpose of this study was the development and validation of knowledge scale for patients with breast cancer (KS-Br) in Korea. Methods: The process included the construction of a conceptual framework, generation of preliminary items, and the test of validity and reliability of the scale. Thirty-seven items were developed through an evaluation process by 10 experts and 24 items were finally confirmed through item analysis. Psychometric testing was performed with a convenient sample of 303 women with breast cancer. The data was analyzed using independent t-test, Pearson's correlation, and calculation of KR-20. Results: Participants averaged 70.8% correct on the test. The KS-Br has 24 items consisting of 5 categories: incidence of breast cancer, diagnosis and treatment, symptom management, sexuality, and maintenance of daily life. Validity was supported by the use of content validity, known-group technique, and criterion-related validity. Women who had undergone education intervention scored significantly higher than women who had not (p<.001). KS-Br scores were significantly correlated with those of Mishel's Illness Uncertainty Scale (r=-.214, p<.001). Internal consistency of the KS-Br was appropriate (KR20=.805). Conclusion: This study reveals that the KS-Br is reliable and valid scale to measure the knowledge of breast cancer. Therefore, this scale can be effectively utilized to assess the knowledge of patients with breast cancer regarding their disease.