• Korean Journal of Computational Design and Engineering
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• v.14 no.6
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• pp.382-389
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• 2009

Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.

• Design & Manufacturing
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• v.9 no.2
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• pp.6-9
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• 2015

The objective of manufacturing knowledge sharing platform is to convert the production experience like a worker's know-how into quantitative values, to construct database of the process technologies and to share the technologies systematically via web portal service. In addition, the knowledge sharing platform contains the total production processes of automobile and mobile products such as information of experts, facilities, and cutting-edge R&D outputs. Automobile, telecommunication mobile, and semiconductors account for a large amount of Korea's export industry rate. These industries need production technology which is a result of converting worker's know-how and R&D. Manufacturing knowledge portal aims to enable transforming production experience such as worker's know-how into standardized form for constructing database and sharing technologies systematically. Manufacturing knowledge portal can contribute to small and mid-sized manufacturing companies with further improvements.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.4
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• pp.95-114
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• 2019

The digitization of traditional medical knowledge in Tanzania will greatly enhance its preservation and dissemination. This is especially important given the challenges facing the current methods of preserving and managing such knowledge. This study presents the requirements engineering approaches and requirements for a web-mobile application that would successfully digitize indigenous knowledge of phytomedicine and relevant practitioners licensing and registration processes. To establish the requirements of such a digital system application, the study sought the opinion of 224 stakeholders whose suggestions were used to analyze and model the requirements for designing such a web-mobile tool. The study was carried out in Arusha, Kagera and Dar es Salaam regions of Tanzania which involved ethnobotanical researchers, herb practitioners, curators from herbaria and registrar officers from Traditional and Alternatives Health Practice Council. Structured interview, survey, observation and document review were employed to find out the basic functional and non-functional requirements for possible designing and implementation a web-mobile application that would digitize indigenous knowledge of medicinal plants. The requirements were modelled using the use case and context diagrams. Finally, the study came up with a list of items for both functional and non-functional requirements that can be used as guidelines to develop a web-mobile application that will capture and document traditional medical knowledge of medicinal plants in Tanzania and, enabling relevant authorities to regulate and manage stakeholders.

• Korean Journal of Construction Engineering and Management
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• v.3 no.1 s.9
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• pp.65-73
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• 2002

By its nature, software part of the construction industry such as engineering and so forth has been kept secret to outside, as it determines a company$^{\circ}{\phi}s$ competitiveness. As a result, construction field knowledge usually disappears with the end of a project. The objective of this study is to develop the knowledge management (BM) learning model tuned in to construction area in order to manage project-related knowledge and promote the knowledge management. This study presented a learning model for knowledge management in the construction field, with the aim to integrate a series of processes. The model is composed of EIP, EDMS, knowledge and failure cases management, CoP and e-Learning.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.50-57
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• 2021

Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

• Korean Journal of Construction Engineering and Management
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• v.6 no.5 s.27
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• pp.166-176
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• 2005

The purpose of this paper is to develop a framework for construction knowledge management. Three variables of proposed framework includes knowledge class, strategic business function, and engineering data form. Several different techniques for evaluating the variables are developed in order to develop a strategic action plan for engineering knowledge management systems. The proposed framework for an action plan will contribute to develop knowledge management systems related to strategic engineering functions for construction companies.

• Korean Institute of Interior Design Journal
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• no.7
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• pp.70-78
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• 1996

Artificial Intelligence is generally concerned with tasks whose execution appears to involve some intelligence if done by humans, and knowledge-based system ( in other word, expert system) is the research about the specific domain. This concept also can be applied to interior design field. So the purpose of this study is in reconstructing the accomplishment of artificial Intelligence and knowledge engineering, searching basic theories and cased to knowledge engineering , searching basic theories and cases to formulate knowledge -based design system, and testing the posibilities how the design information can be dealt in computer system. Given that recognition , two major problems must be solved before knowledge-based CAD systems could be come practical : Firstly , identification of the interior of designers use .Secondly , representing this knowledge in a computationally effective manner. I had discussed the basic concepts on which to base a knowledge- based design model, knowledge representation schemes, and problem solving, I could find the possibility which the knowledge-based system can be applied to the interior design according to this study. But there are non-deductive, often irrational and now easily computerized design process in interior design. Those are problems which are relevant to the machine learning and the creativity in design. So there should be a lot of research about the machine learning and the creatively in design in order to construct successfully intelligent knowledge-based design system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.2
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• pp.36-48
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• 2019

As the importance of Knowledge Management System (KMS) in the military increases, Republic of Korea Army (ROK Army) developed Army Knowledge Portal. Although the members in the military are encouraged to use the portal, few members currently use it. This study was conducted to find variables to predict the user's intention to use the portal, which contributes to activating the use of Army Knowledge Portal in the army. On the basis of Technology Acceptance Model (TAM), ten variables such as perceived ease of use, general information security awareness, information security awareness, expectation for external rewards, expectation for relationships, sense of self-worth, attitude toward compliance with security policy, attitude toward knowledge sharing, intention of non-combat knowledge sharing, and intention of combat knowledge sharing were considered as independent variables. 105 participants on active duty who currently use or have experience to use the portal participated in this study. The results indicated that general information security awareness and information security awareness increases compliance with the information security policy. In addition, the attitude toward knowledge sharing is enhanced by expectations for relationship and sense of self-worth. Based on the results, the authors propose the need for policy alternatives to reinforce the reward system and security policy, which activates the use of Knowledge Portal Service for ROK Army.

• Journal of Information Technology and Architecture
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• v.11 no.3
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• pp.333-345
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• 2014

Knowledge management system (KMS) is an information system that helps an organization manage its knowledge assets effectively as well as maximize their values within the organization. In engineering fields, because the expertise and know-how of experts are so critical, KMS can play an important role to store and share the experts' knowledge within the organization. This paper adopts an object-oriented approach to analyze and design an engineering knowledge management system required to manage and share engineering knowledge effectively. A field study is conducted against construction and automobile engineers to draw critical success factors to successfully implement and adopt an engineering KMS and based on this study, the engineering KMS has been analyzed and designed. Also, this paper proposed a flexible system architecture that can be applied to various engineering fields.

• Journal of Engineering Education Research
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• v.15 no.5
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• pp.8-13
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• 2012

Faculty of engineering, Niigata University has been executing start-up engineering education programs for the first-year students to educate his or her ability to solve engineering problems. They are divided into teams and tackle a task that they expect to easily accomplish. The expected results are hardly obtained. Then they try to seek the gap between the results and their knowledge. They analyze the phenomena and improve the approach. They evaluate the results of second trial and the effectiveness of the measures. That is, the project requires so-called PDCA cycles for students to solve engineering problems. The start-up engineering project is one of the compulsory subjects and seven departments have given the students several tasks based on their technicality. The students exchange their knowledge, ideas and learn how to use knowledge to solve the problems. Their reports and questionnaire survey proved that the projects are highly effective to improve his or her ability to solve engineering problems and give them strong motivation to learn engineering. We introduce the some tasks and the outcomes of the projects set by seven departments; mechanical and production engineering, electrical and electronic engineering, information engineering, biocybernetics, chemistry and chemical engineering, civil engineering and architecture, and material science and engineering.