• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.135-148
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• 2023

The Code of Ethics for Newspaper Advertising in Korea, first implemented in 1976 and subsequently revised in 1976, 1996, and 2021, is a critical regulatory instrument for the country's advertising sector. However, the specialized domain of "advertising ethics," particularly the "code of advertising ethics," remains under-explored. This research addresses this scholarly gap, providing an empirical analysis of the 2021 amendment's revision trajectory. This study employs a robust methodological approach, integrating expert interviews and small-group AHP-based surveys. This approach allows for a comprehensive understanding of the revision needs, referencing existing ethical codes studies, and comparing similar ethics codes nationally and internationally. The research further investigates key challenges such as personal data protection and copyright issues in the rapidly evolving digital media landscape, while preserving the existing code's inherent value. The findings are expected to significantly contribute to the emerging field of advertising ethics in Korea, offering practical implications for future code revisions.

• Journal of the Korean Society for Precision Engineering
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• v.11 no.1
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• pp.211-218
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• 1994

Grinding is considered as a very effective machining technology to attain high production rates and a good surface quality of hard and brittle components. However, the grinding operations till needs the skill and the experience of an operator because of a lack of scientific knowledge and engineering principles. This is the reason why grinding operations are not completley intergrated in CIMS(Computer Intergrated Manufacturing System. Recent develop- ment focus on expert system which deals with domain specific knowledge in order to solve this problem. Firstly, in this study, a basic strategy to develop the grinding knowledge-base for grinding is discussed. Next, the architecture of knowledge-base and management of the grinding knowledge-base(GKB) is described.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.214-217
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• 1996

Early decision support systems (DSS) were the "passive" decision support systems in the sense that the systems only able to do what the users explicitly direct them to do. But some researchers such as Raghav Rao et al. [51 showed architectures to suggest general idea of the innovative DSS systems which offer active form of decision support, say, "active Intelligent Decision Support Systems(active IDSS)". The system can perform not only what the users want to do but some voluntary (or involuntary) intelligent works. This paper presents the issues in the design of the active IDSS in the domain of investment evaluation, a domain area where few researchers have suggested frameworks or architectures to discriminate good investment from bad one. We propose a new paradigm, by utilizing historical investment results using neural network and Multivariate Discriminant Analysis(MDA), to identify goodness of investment. A new active IDSS architecture which consists of neural network, expert system and three components of the traditional passive DSS is suggested with some scenario based results.nario based results.

• Management & Information Systems Review
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• v.3
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• pp.179-199
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• 1999

Case-Based Reasoning(CBR) offers a new approach for developing knowledge based systems. In case-based approach the problem solving experience of the domain expert is encoded in the form of cases. CBR has successfully been applied to many kinds of problems such as design, planning, diagnosis and forecasting. In this paper, CBR was applied for forecasting default risk. The applied result was successful in spite of the small casebase. Generally, CBR requires large casebase. So, if the number of data was large, the result was better. But in this paper, what financial variable was more forecastable was not tested. Next, this should be tested.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.738-747
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• 2022

The purpose of this study is to construct a knowledge structure for the application of physical education in ecological marine sports. As specific exercises, a volleyball game (beach volleyball) and open water swimming were set, and a knowledge structure analysis framework was used for the study. Expert consultation was conducted to secure the validity of the study. The study results are as follows. First, a knowledge structure based on the 2022 revised physical education curriculum was prepared. Second, the basis for the application of physical education classes for ecological marine sports was prepared. Third, learning contents in the knowledge·understanding domain, process·functional domain, and value·attitude domain of beach volleyball were proposed. Fourth, learning contents of knowledge·understanding domain, process·function domain, and value·attitude domain of sea swimming were proposed. This study is meaningful in that it prepared in advance for the realization of the 2022 revised physical education curriculum to be introduced in the future.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.57-69
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• 2001

Expert system is one of AI area. It simulates the human's way of thinking to give solutions of problem in many applications. Most expert system consists of many components such as inference engine, knowledge base, and so on. Especially the performance of expert system depend on the control of efficiency of inference engine. Inference engine has to get features; first, if possible to minimize restrictions when it constructed the knowledge base. second, it has to serve various kinds of inferencing methods. In this paper we propose knowledge scheme for representing domain knowledge in ease, knowledge implementation technique for inferencing, and integrated knowledge-base engine with blackboard and inference engine. And we describe a expert system prototype that implemented in this paper using proposed methods, it perform diagnose about heavy industrial device. The fault diagnosis system prototype has been studied in this paper will be practical foundation in the research area of knowledge based system.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.3 s.180
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• pp.22-31
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• 2006

This paper introduces an approach to an ontology-based knowledge framework for product life cycle management (PLM). Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects. Therefore, we suggest an ontology-based knowledge framework including knowledge maps, axioms and specific knowledge far domain. The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so that ambiguity of the semantics can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain common knowledge and guides engineers to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and product item level for PLM. The top level is specialized knowledge fer a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of unambiguous knowledge for PLM and is represented with first-order logic to maintain a uniform representation.

• Journal of Engineering Education Research
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• v.18 no.3
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• pp.13-23
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• 2015

This paper attempts to take an in-depth study of the importance of teams and their creativity according to changes of recent design paradigm in engineering and to draw conclusions of the sub-domains and their element extraction. For this purpose, theoretical consideration was reviewed to present the definition of creativity and its sub-domains and elements. Besides, the two steps of expert validation test were conducted to extract the definition of creativity and its sub-domains and elements. The team creativity is defined as a team ability to come up with fresh and useful ideas and to lead them to get meaningful results through cooperative interactions among team members to solve problems given to them based on each member's creativity. Totally, 4 subs -domains and 16 sub-elements were extracted to get to know their influence on the team creativity. This includes a team size, characteristics of team members, and a team structure in team organization domain. To evaluate team atmosphere, elements such as sensibility, fellowship, teamwork, reliability, autonomy and open minded feature are included. In the team activity domain, strategies for solving problems, activities for divergent thinking, activities for convergence thinking and team interaction are included. Also, the sub-domain for team management includes a task, process and conflict management.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.97-109
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• 2020

It is expected that the Fourth Industrial Revolution will have a great impact on the manufacturing industry, especially as it will cause big changes in industry, economy as well as socio-cultural. To cope with this situation, each country is promoting the policy of cultivating its manufacturing. This study derives the effect of the fourth industrial revolution on product lifecycle management for smart manufacturing through expert's cognitive analysis. The knowledge area of product lifecycle management is divided into Project Portfolio Management, Collaborative Product Design, Customer Needs Management, Direct Material Sourcing, Product Data Management, Digital Manufacturing & Engineering, R&D Foundation, New Product Development through academic research. The expert survey was conducted in five different perspectives: Importance, Insufficiency. Then, using the results of the survey and the academic research the implication about Product Lifecycle Management were derived. The significance of this study is that it derives the change areas and factors of the product life cycle management knowledge domain in preparation for the fourth industrial revolution according to the perspective of importance and insufficiency.

• Nuclear Engineering and Technology
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• v.22 no.2
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• pp.128-138
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• 1990

This paper presents a prototype expert system (ESRCP) for Reactor Coolant Pumps. The purpose of this system is to diagnose RCP failures and to offer corrective operational guides to plant operators. The first symptoms for the diagnosis are the alarms which are related to the RCP domain. Alarm processing is required to find a primary causal alarm when multiple alarms occur. The system performs the alarm processing by rule-based deduction or priority factor operation. To diagnose the RCP failure, the system performs rule-based deduction or Bayesian inference. Various sensor readings are required as symptoms to infer a root cause. When the symptoms are insufficient or uncertain to diagnose accurately, Bayesian inference is performed.