• International Journal of Precision Engineering and Manufacturing
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• v.1 no.2
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• pp.35-42
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• 2000

To save time and cost in assembly process and to improve th quality of products, it is very important to choose and optimal assembly sequence. In this paper, we propose a methodology that generates an optimal assembly sequence by using various methods and the knowledge of experts. To illustrate the effectiveness of the proposed methodology, a knowledge-based system is developed, The built system is applied to the case of UBR(Unit Bath Room). The applying result showed the applicability of the developed system.

• Journal of the Korea Society for Simulation
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• v.1 no.1
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• pp.25-30
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• 1992

A knowledge based hybrid simulation environment has been established which supports the simulation procedure from the modeling step to the experimentation step by providing various tools, query, and advisory. The knowledge base in the established environment uses the If-Then Rule to transfer the fact input from the user to the act for the execution of the simulation process. Simulation non-experts are the user target and non-specific area is the application target.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.36-39
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• 1998

It is very difficult for the large-scale retailers, who deal with tens of thousands of items, to price all the items dynamically reflecting all the constraints and policies. In spite of its importance, the prices are determined by human experts because the process of setting the prices of all the items is not established yet. To solve this problem, we adopt a mixed model that combines three typical pricing models: cost-plus model, competition-oriented model, and demand-oriented model. Since each model an be converted to a set of constraints in point and interval forms, solving the pricing problem with the three groups of models requires an algorithm which can solve the problem with weighted constraints of intervals and points. So we have devised an algorithm named “Point Determination Algorithm”. From the rules that represents tile models, the constraints are extracted to be solvable by tile Point Determination Algorithm. A prototype KAPA (Knowledge Assisted pricing Advisor) is developed with this idea using the expert system environment UNIK - a tool developed by KAIST. According to the experiment with 76 items in comparison with 53 human pricing experts we confirmed that the KAPA can perform highly consistent with human experts. This implies KAPA system is applicable to pricing millions of items dynamically.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.3
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• pp.336-348
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• 2011

Purpose: This methodological study was done to develop a telephone consultation algorithms and practice guidelines for patient discharged with ophthalmic diseases. Methods: The ophthalmic problems of the patients were identified and expert knowledge on managing the problems was acquired. Algorithms and practice guidelines were developed based on the expert knowledge. The content validity of algorithms and practice guidelines was evaluated by the experts. Results: The preliminary algorithms and practice guidelines were developed from 60 detailed signs and symptoms and 45 nursing interventions. The experts agreed that 57 detailed signs and symptoms linked with nursing interventions were valid, with the content validity index over 80%. Meeting with nurse experts and ophthalmologists was convened to review the rest of the 3 detailed signs and symptoms linked with nursing interventions. Finally, 60 detailed signs and symptoms and 46 nursing interventions were confirmed. Conclusion: This study suggests that the algorithms and practice guidelines are effective decision-making tools and utilization of these algorithms and practice guidelines is expected to improve the quality of clinical nursing and patient satisfaction.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.3
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• pp.63-79
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• 2021

The KJC and KCI services operated by the National Research Foundation of Korea (NRF) need to refer to the global citation index database to set the service direction that researchers want and develop new functions. Therefore, in this study, the usability of Korea's KJC and KCI web databases was evaluated. In addition, FGI verification was performed for a group of experts on KJC and KCI improvement measures derived by academic information experts. The evaluation committee consisted of the researcher group, the society related group, the publisher (academic information distribution organization) group, and the policy-making organization group. A total of 16 experts performed usability evaluation and service improvement proposals for KJC and KCI services. As a result of usability evaluation of KJC and KCI web database using SUS measurement tool, KJC service was evaluated as 73.44, and KCI service was evaluated as good as 64.38. KJC improvement proposals were evaluated positively with 4 points or more for all improvement items, and KCI improvement proposals were positively evaluated with 3.5 points or more for all improvement items. Overall, KJC and KCI error improvements were evaluated with a score of 4 or more, showing strong affirmations. In the future, it is hoped that the improvement proposals and improvements proposed in this study will be applied to the development of KJC and KCI services, so that more quality services will be used by domestic researchers.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.879-888
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• 2018

This research was done to develop a standard management checklist for duck farmers. To this end, experts in commercial duck farming participated in making a blueprint for a standard management checklist. This expert group consisted of ten members which included the researcher, a professor, an extension advisor and leading farmers in commercial duck farming. By collecting knowledge on commercial duck farming from these experts, a management performance index was made, and checking factors were designated. As a result of this expert survey, management outcome indicators and subdivision evaluation indicators were established. To confirm these results, a first stage Delphi expert survey was carried out. As a result, the experts were not in agreement with the farming scale of 1 - 4 levels and 2 levels in the management outcome indicators. Additionally, the experts were not in agreement on the choice of feed in the feeding management and the cooperative management system as well as the utilization of agricultural information in managing the business. The factors that did not have the same opinion among experts were surveyed by a second Delphi survey asking whether experts approve the requested value. As a result of the second Delphi survey, all factors have an approval rate that have a value of more than 90%. Finally, a standard management checklist was established based on the research result.

• 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.

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.3-9
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• 2003

The task for chromosome analysis and diagnosis by experienced cytogenetists are being concerned as repetitive, time consuming job and expensive. For that reason, intelligent agent based on chromosome knowledge base has been established to be able to analyze chromosomes and obtain necessary advises from the knowledge base instead of human experts. That is to say, knowledge base by IF THEN production rule was implemented to a knowledge domain with normal and abnormal chromosomes, and then the inference results by knowledge base could enter the inference data into the database. Experimental data were composed of normal chromosomes of 2,736 patients 'cases and abnormal chromosomes of 259 patients' cases that have been obtained from GTG-banding metaphase peripheral blood and amniotic fluid samples. The completed intelligent agent for chromosome knowledge base provides variously morphological information by analysis of normal or abnormal chromosomes and it also has the advantage of being able to consult with user on chromosome analysis and diagnosis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.8 no.1
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• pp.117-134
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• 1997

This study proves that the quoted legal text functions as the index which represents the contents of the text because of the characteristics of legal information, the automatic indexing in the secondary legal full-text databases can be possible without the assitance of the experts. In case of the establishment, amendment or repealing of law, change of words of index can be possible through revising the legal text quoted in the secondary legal full-text databases. Even when we dont input the full-text about retrospective documents, automatic indexing is also possible, and the establihment and the practice of expert knowledge and integrated databases are possible in case of the retrospective documents. This study indicates that it is necessary to have characteristic information the information experts recognize - that is to say, experimental and inherent knowledge only human being can have - built-in into the system rather than to approach the information system by the linguistic, statistic or structuralistic way, and it can be more essential and intelligent information system.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.12
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• pp.3124-3134
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• 1993

Diagnosis is composed of two different but interrelated steps ; retrieving the sensory responses f the system and reasoning the state of the system through the given sensor data. This paper explains the probabilistic nature of reasoning involved in the diagnosis when the uncertainties are inevitably included in experts' diagnostic decision making. Uncertainties in decision making are experts' personal experiences, preferences, and system's coherent characteristics. In order to ensure a consistent decision based on the same responses from the system, expert system technology is adopted with the Bayesian reasoning scheme.