• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.2
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• pp.171-176
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• 2002

This paper describes a new automated analysis system for model plane engine. An automatic finite element (FE) mesh generation technique, which is based on the fuzzy knowledge processing and computational geometry technique, is incorporated into the system, together with one of commercial FE analysis codes, ANSYS, and one of commercial solid modelers, Designbase, The system allows a geometry model of concern to be automatically converted to different FE models, depending on physical phenomena of plane engine to be analyzed, i.e. deformation analysis, thermal analysis and so on. The FE models are then automatically analyzed by the FE analysis code. Among a whole process of analysis, the definition of a geometry model, the designation of local node patterns, the assignment of material properties and boundary conditions onto the geometry model are only the interactive processes to be done by a user. The interactive operations can be processed in a few minutes. The other processes which are time consuming and labour-intensive in conventional CAE systems are fully automatically performed in a personal computer environment. The proposed analysis system is successfully applied to evaluate a model plane entwine.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.73-94
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• 2000

The main objective of this research is to examine the spillover effects of technological knowledge from IT industry to other industrial sectors and, based on empirical findings, to draw policy implications and suggest policy directions. To this end, we divide IT industry into IT equipment and IT service, assuming that these two sub-sectors are considerably different each other in terms of technology knowledge flow. Other industries are classified into 17 different sectors based on the KSIC of 1990. As the proxy measure of technological knowledge, the notion of R&D stock is employed. The Input/output(I/O) Table is used to define the inter-industrial flow pattern and to draw the knowledge flow matrix. As the research methodology, cost function model is employed to gauge the spillover effects of technological knowledge of IT industry. Based on the results of analysis, it is found that the economic impact of technology diffusion also exhibits a different pattern between IT equipment and IT service. The diffusion of IT equipment tends to show labor-substitution effect whereas IT service displays labor-creation effect. This fact should be considered in devising industry, education, and labor policy. The expectations from this research are as follows. First, the sectoral pattern, difference between IT equipment and service in particular, identified from this research may shed light on the sector-specific policy direction. It is emphasized that a sector-specific approach, rather than an aggregate approach, is relevant for formulating IT policy. Second, it is expected that the importance of technology diffusion programs and policy measures are recognized among policy makers in IT industry.

• Journal of dental hygiene science
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• v.11 no.3
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• pp.135-154
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• 2011

Dental hygiene was originated from dentistry and dental hygiene knowledge was a component of dental knowledge body. Since the late 1980s dental hygiene theory was began to develop. Nursing theories such as metaparadigm, nursing process and human need theory affected theory development as dental hygiene process. Dental hygiene process provides a framework for high quality dental hygiene care. Dental hygiene process include five phases; assessment, dental hygiene diagnosis, dental hygiene planning, implementation, evaluation. Dental hygiene process of care is recognized as standard for dental hygiene education and clinical dental hygiene practice. Dental hygiene practice has moved from auxiliary model to professional model. Critical thinking skill and disposition are necessary to provide evidence-based dental hygiene care using dental hygiene process as clinical process and critical thinking process. Critical thinking, problem solving and evidence-based practice must be integrated into dental hygiene process for quality dental hygiene care.

• Knowledge Management Research
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• v.20 no.3
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• pp.173-193
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• 2019

Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

• Journal of Software Engineering Society
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• v.24 no.1
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• pp.9-17
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• 2011

Software reuse the concept of developing software by using existing software assets, rather than developing it from scratch. Developers may face difficulties of reusing existing software assets because existing assets are normally developed by other developers for different purposes. Developers tend to seek appropriate knowledge about effectively reusing software assets from the developers who have faced and solved similar problems in reusing software assets previously. In other words, the reuse-related knowledge of domain experts or other developers usually provides important clues to solve reuse-related problems. Such reuse-relalted knowledge can help developers to reduce the time and effort to identify and solve the difficulties and problems that may arise in reusing software assets and in minimizing the risks of reusing them by allowing them to reuse reliable software assets in an appropriate way and by recognizing similar requirements or constraints of resuing the assets. In this paper, we describe a model to represent reuse-related knowledge in a formal way, and explain the architecture and a prototype implementation of Software Reuse Wiki (SRW) that enables collaborative organization and sharing of software reuse-related knowledge. We have conducted an experiment pertaining to problem solving in reusing assets based on reuse-related knowledge. We also discuss about our evaluation plan for showing the benefits and contributions of reuse knowledge representation model and management methods in SRW. We expect that SRW can contribute to facilitate users' participations and make efficient sharing and growing of reuse-related knowledge. In addition, the representation model of reuse-related knowledge and management methods can make developers acquire more reliable and useful reuse-related knowledge in a straightforward manner without spending additional efforts to find solutions to solve reuse-related problems.

• Korean Journal of Computational Design and Engineering
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• v.10 no.1
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• pp.1-10
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• 2005

This paper presents an embodiment of design integration framework corresponding to changes in the latest manufacturing environment. The embodied system is named by 'WEB-KBE System' because it supports a product design with a KBE technique based on web environment. The final purpose of the work is to implement a web-based integration design environment with a KBE technique to support non-skillful designers. The framework of the system Is designed to support necessary items in user-centric design environment. Two case studies were applied to the WEB-KBE system to evaluate the efficiency, flexibility, extensibility, and reusability of the system. The examples are [1] CART integration design environment construction and (2) Exhaust Duct Saddle Support integration design environment construction. In the former case, it took a period of 8 months for modeling and implementation of the WEB-KBE prototype system. However, with the high extensibility and reusability of WEB-KBE system, the second case required only a period of one month for modeling and implementation of the system. We conclude that the presented WEB-KBE system can bring fair effects on implementing a knowledge based design environment in aspect of time and expense.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.798-803
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• 2005

The increasing complexity of modem products requires the effective management of design knowledge, which partly resides in the product itself on the one hand. On the other hand, a lot of knowledge is gathered and/or generated during the design process, but disappears as the design project concludes. This paper describes a knowledge representation method to accommodate the implicit design knowledge. The method is based on the FBS(Function-Behavior-Structure) model and extends the object ontology with constraint entity. An example to represent the injection mold design knowledge is given to show its applicability.

• Asia pacific journal of information systems
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• v.15 no.3
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• pp.9-39
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• 2005

Recently, knowledge transfer has been recognized as one of the major factors for success of IT projects but little investigated in Information Systems research. IT project, which needs collaboration between organization's IT project team and external partner, is an critical source for a firm to acquire external knowledge and to achieve its competitive advantage. Based on this recognition on knowledge transfer under IT project, we investigate a mediation role of knowledge transfer to IT project performance after identifying its antecedents such as project team capabilities and partner capabilities. The research model is tested by analyzing 161 sample data gathered from firms' employees who have participated IT projects within last two years. The results reveal that knowledge transfer has full-mediation effect between its antecedents and IT project performance. Moreover, project team capabilities have more impacts on knowledge transfer than partner capabilities do.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.27-38
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• 2023

In this paper, we propose a conversational AI agent based on continual learning that can continuously learn and grow with new data over time. A continual learning-based conversational AI agent consists of three main components: Task manager, User attribute extraction, and Auto-growing knowledge graph. When a task manager finds new data during a conversation with a user, it creates a new task with previously learned knowledge. The user attribute extraction model extracts the user's characteristics from the new task, and the auto-growing knowledge graph continuously learns the new external knowledge. Unlike the existing conversational AI agents that learned based on a limited dataset, our proposed method enables conversations based on continuous user attribute learning and knowledge learning. A conversational AI agent with continual learning technology can respond personally as conversations with users accumulate. And it can respond to new knowledge continuously. This paper validate the possibility of our proposed method through experiments on performance changes in dialogue generation models over time.

• Korean Journal of Adult Nursing
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• v.27 no.6
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• pp.684-694
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• 2015

Purpose: The purpose of this study was to explain fall prevention behaviors of community-dwelling elderly with osteoarthritis based on the Health Belief Model. Methods: A total of 200 older adults with osteoarthritis residing in community was recruited from July 10 to August 30, 2013. The direct and indirect effects of perceived fall risk, perceived benefits and barriers, and self efficacy of fall prevention were examined on fall prevention behaviors. Data were collected with structured questionnaires and analyzed using SPSS/WIN 20.0 and AMOS 20.0 program. Results: The hypothetical model was a good fit for the data based on the model fit indices. Among socio-demographic variables, age and fall knowledge showed significant direct effects on fall prevention behaviors. The constructed model explained 34.2% of the variance of fall prevention behaviors, including perceived fall risk and efficacy of fall prevention behaviors as significant predictors. Conclusion: The findings revealed the need to develop an effective nursing intervention to promote fall prevention behaviors of community-dwelling elderly with osteoarthritis by focusing on perceived fall risk and efficacy of fall prevention behaviors. Knowledge about fall can also be increased by an age-based education program.