• The Journal of Information Systems
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• v.30 no.3
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• pp.177-199
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• 2021

Purpose This study explores the development direction of the artificial intelligence curriculum as a universal education that enhances the ability of college students to flexibly use artificial intelligence these days, where artificial intelligence education is spreading, and the educational components based on this are subdivided according to the characteristics of each major. Design/methodology/approach In order to develop the educational purpose of the subject and the detailed educational curriculum suitable for the subject of education, we first analyzed domestic and foreign prior research related to artificial intelligence liberal arts education. As the main components derived by experts, the basic concept of artificial intelligence converges to literacy to read and write for everyday problem solving, as well as problem-solving ability to manipulate real data and software. Findings The results showed that In the artificial intelligence literacy module, trends and prospects of artificial intelligence and necessary competencies were checked, and cases applied to major fields were examined. In the AI utilization and application part, basic data analysis items and content composition were composed through creative thinking, logical thinking, and intelligence. In order to design the curriculum, a software development language suitable for each major area was first selected, and AI education content areas, elements, and packages were defined and designed for each major area to meet the objectives of the subject.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.385-391
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• 2008

Robotics has emerged as an important field for the future. It is our vision that robots in future will be able to transcend these precincts and work side by side humans for the greater good of mankind. We developed a face robot for this purpose. However, Life like robots demands a certain level of intelligence. Some scientists have proposed an event based learning approach, in which the robot can be taken as a small child and through learning from surrounding entities develops its own personality. In fact some scientists have proposed an entire new personality of the robot itself in which robot can have its own internal states, intentions, beliefs, desires and feelings. Our approach should not only be to develop a robot personality model but also to understand human behavior and incorporate it into the robot model. Human's personality is very complex and rests on many factors like its physical surrounding, its social surrounding, and internal states and beliefs etc. This paper discusses the development of this platform to evaluate this and develop a standard by a society based approach including the cultural paradigm. For this purpose the fuzzy control theory is used. Since the fuzzy theory is very near human analytical thinking it provides a very good platform to develop such a model.

• Korean System Dynamics Review
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• v.2 no.1
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• pp.5-28
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• 2001

The advent of Electronic Commerce is raising two hypothetical questions conflicting each other in economic point of view. The one is that cyberspace will eventually resolve the problem of economic disparity by presenting equal opportunities to local companies through the removal of barriers in terms of time and space. The other is that the problem of economic disparity will be amplified by the vicious cycle of reproduction on an enlarged scale residing in the new rules of digital economy. As an initial attempt to tackle the questions listed above, by introducing systems thinking and adopting the systems dynamics simulation technique this paper puts an effort to find some tentative answers to the questions possibly raised about the impact of electronic commerce on local economy on which little research has been conducted so far. The general scheme for the dynamism of systems where two groups of electronic malls compete each other and the findings presented in the paper would perhaps provide some ideas and directions for further study.

• Korean System Dynamics Review
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• v.13 no.3
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• pp.67-98
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• 2012

This study suggests a set of Causal Loop Diagram (CLD) of Causality Mechanism which integrates the matter of characteristics of emerging market and its expansion strategies. In order to make CLD more objective, all causalities are articulated from recent 55 studies (2000~2012) of SSCI Top Journals. This approach is valuable in that it is a first try to draw all the causalities from rigorous literature review regarding emerging market strategy. The 5 CLDs will show and clarify the strategies of how to expand into emerging market for MNCs. In sum, political activity and institutional void is a critical factor related to characteristics of emerging market, and CSV and cultural distance should be considered as a leverage point. For all this study's contribution to clarify the causality of emerging market strategies with abundant literature review, the study has its limits in integrating and testing CLD.

• Korean System Dynamics Review
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• v.4 no.2
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• pp.131-151
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• 2003

Traffic congestion stems from the widespread desires of people to purse certain goals that inevitably overload existing roads every day. he a transportation policy, congestion toll system has been implemented in Seoul, since 1996. The growing concerns on whether the system would achieve sustained results in the future motivated us to investigate the effectiveness of this policy. Developing and running the congestion toll simulation model, we find that this policy is not an effective policy in the long m. The paper indicates the power of system dynamics approach as a tool for evaluating complex policy like a congestion toll, and suggest that city transportation policy maker should approach the problem with systems thinking and analyze the effectiveness of policy on the basis of understanding the dynamic relationships among subsystems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.11a
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• pp.448-451
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• 2000

Fuzzy control has been researched for application of industrial processes which have no accurate mathematical model and could not controlled by conventional methods because of a lack of quantitative input-output data. Intelligent control approach based on fuzzy logic could directly reflex human thinking and natural language to controller comparing with conventional methods. In this paper, the tested system is constructed for sending a ball to the goal position using wind from two DC motors in the path. This system contains non-linearity and uncertainty because of the characteristic of aerodynamics inside the path. The system used in this experiment could be hardly modeled by mathematic methods and could not be easily controlled by linear control manners. The controller, in this paper could control the system containing non-linearity and uncertainty because it is designed based on the input-output data and experimental knowledge obtained by trials.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.4 no.5
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• pp.73-83
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• 1981

The purpose of value analysis is to assist each to approach nearer enough to this goal to provide substantial competitive and profit advantages. It provides planned and disciplined thought and act ion which hel ps identify unnecessary cost throughout the product or process cycle. Value analysis is a precise, disciplined, one-purpose thinking process. Its one purpose is to retain all the performance and aesthetic factors which now exist In the product, process or services, which the customer wants and is willing to pay for : and through disciplined thinking procedures, to put together Practical alternatives which will accomplish them at still lower cost. Value in a product or service is the reward for appropriate performance and appropriate cost Value analysis must therefore employ techniques which will sensitize any "lacking" area so that the need can be identified and satisfied. As the business begins to see the benefit of the activity, additional value analysts consultants may be added. This will provide more penetration in the three identified areas, of top managers group, individual value analysis consultants and senior member who organizes value analysis work, and besides, additional abilities will be secured.e secured.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.459-468
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• 2007

The u-City construction project has become a hot topic in the construction market because it seems economic value-added field for construction firms. However, construction firms don't willingly participate in the u-City construction market because environments of the future business for the u-City are very uncertain. Scenario planning is a very powerful method in managing this uncertain planning situation and is based on scenarios that help each enterprise appropriately adapt itself to its own business environments. Therefore it is based on the main principles of systems thinking and multiple futures. For the purpose of dealing with such uncertainties, this paper attempts to develop the possible market scenarios of the u-City construction market in S.Korea through a scenario planning approach. From this perspective, we considered various aspects of the u-City construction such as market demands, technology development, policy level and management environment. After considering the relevant issues, we identified the main trends and key uncertainties. Finally, we developed three coherent u-City construction market scenarios. Construction firms can use these scenarios as a basic reference for market analysis and business strategy. Therefore, this paper is able to enhance the participation of construction firms in the u-City construction market.

• Journal of Korean Dental Hygiene Science
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• v.5 no.2
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• pp.113-121
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• 2022

Background: This study aimed to create and present content that can be used in the dental hygiene ethics process to help dental hygiene students develop desirable work ethics and ethical values. Methods: In order to operate the dental hygiene ethics course in all academic systems, one three-year dental hygiene professor and one four-year dental hygiene professor participated in setting core competencies and learning goals for the dental hygiene ethics course. The class consisted of two credits, two hours of theoretical classes, and class activity sheets developed according to the learning contents and learning topics for each week that can be operated for 15 weeks. Results: The contents of the dental hygiene ethics subject were developed to be conducted as theoretical education and case-oriented discussion classes. The 15-week class consisted of a theory lecture on dental hygiene work ethics (eight weeks), discussions and presentations for ethical decisions based on actual cases related to dental hygiene ethics (four weeks), and the design and presentation of individual professional mission statements and codes of conduct (three weeks). The class data for each week consisted of four stages: "Learning goal-thinking," "open-thinking," "learning content-thinking," and "according to learning goal." Conclusions: In order to establish desirable workplace ethics and ethical values for dental hygiene students, it is necessary to approach education in a way that values understanding and application of dental hygiene practices, legal and ethical standards, ethical decision-making models, and ethical principles.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.1
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• pp.82-86
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• 2008

The article presents ARTMAP and Fuzzy BK-Product approach underwater obstacle avoidance for the Autonomous underwater Vehicles (AUV). The AUV moves an unstructured area of underwater and could be met with obstacles in its way. The AUVs are equipped with complex sensorial systems like camera, aquatic sonar system, and transducers. A Neural integrated Fuzzy BK-Product controller, which integrates Fuzzy logic representation of the human thinking procedure with the learning capabilities of neural-networks (ARTMAP), is developed for obstacle avoidance in the case of unstructured areas. In this paper, ARTMAP-Fuzzy BK-Product controller architecture comprises of two distinct elements, are 1) Fuzzy Logic Membership Function and 2) Feed-Forward ART component. Feed-Forward ART component is used to understanding the unstructured underwater environment and Fuzzy BK-Product interpolates the Fuzzy rule set and after the defuzzyfication, the output is used to take the decision for safety direction to go for avoiding the obstacle collision with the AUV. An on-line reinforcement learning method is introduced which adapts the performance of the fuzzy units continuously to any changes in the environment and make decision for the optimal path from source to destination.