• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.3 no.3
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• pp.178-186
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• 2022

In order to support biomimicry technology development, it is necessary to develop an omnidirectional service platform which can recommend principles of biomimicry and business ideas, providing experts' networks and carrying out their relevant education and promotion on the ground of baseline data and application research materials related to biomimicry. This study was conducted to establish any probable plans for construction and utilization of the future open-platform which will collect and serve the technology of biomimicry. Accordingly, biological and ecological information databases were examined along with the appreciation of construction and management of major biomimicry DB, and, based on the materials from the interview of related experts, a customer journey map was schematized. Lastly, in order to suggest a mid-to-long-term target-model, the roles of a future biomimicry knowledge service-platform were determined along with the potential plans for its construction and management based on case analysis and customers' needs.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.40.6-40
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• 2001

Fuzzy controls are widely used in industrial fields using experts knowledge base for its high degree of performance. Genetic Algorithm(GA) is one of the numerical method that has an advantage of optimization. In this paper, we present an acquisition method of fuzzy rules using genetic algorithm. Knowledge of the system is the key to generating the control rules. As these rules, a system can be more stable and it reaches the control goal the faster. To get the optimal fuzzy control rules and the membership functions, we use the GA instead of the experts knowledge base. Information of the system is coded the chromosome with suitable phenotype. Then, it is operated by genetic operator, and evaluated by evaluation function. Passing by the decoding process with the fittest chromosome, the genetic algorithm can tune the fuzzy rules and the membership functions automatically ...

• Journal of Advanced Navigation Technology
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• v.2 no.1
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• pp.61-67
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• 1998

In this paper, we have described the Ramp Activity Coordination Expert System (RACES) which can solve aircraft parking problems. RACES includes a knowledge-based scheduling problem which assigns every daily arriving and departing flight to the gates and remote spots with the domain specific knowledge and heuristics acquired from human experts. RACES processes complex scheduling problem such as dynamic inter-relations among the characteristics of remote spots/gates and aircraft with various other constraints, for example, custome and ground handling factors at an airport. By user-driven modeling for end users and knowledge-driven near optimal scheduling acquired from human experts, RACES can produce parking schedules of aircraft in about 20 seconds for about 400 daily flights, whereas it normally takes about 4 to 5 hours by human experts. Scheduling results in the form of Gantt charts produced by the RACES are also accepted by the domain experts. RACES is also designed to deal with the partial adjustment of the schedule when unexpected events occur. After daily scheduling is completed, the messages for aircraft changes and delay messages are reflected and updated into the schedule according to the knowledge of the domain experts. By analyzing the knowledge model of the domain expert, the reactive scheduling steps are effectively represented as rules and the scenarios of the Graphic User Interfaces (GUI) are designed. Since the modification of the aircraft dispositions such as aircraft changes and cancellations of flights are reflected to the current schedule, the modification should be notified to RACES from the mainframe for the reactive scheduling. The adjustments of the schedule are made semi-automatically by RACES since there are many irregularities in dealing with the partial rescheduling.

• Nutrition Research and Practice
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• v.16 no.6
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• pp.801-812
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• 2022

BACKGROUND/OBJECTIVES: Diet planning in childcare centers is difficult because of the required knowledge of nutrition and development as well as the high design complexity associated with large numbers of food items. Artificial intelligence (AI) is expected to provide diet-planning solutions via automatic and effective application of professional knowledge, addressing the complexity of optimal diet design. This study presents the results of the evaluation of the utility of AI-generated diets for children and provides related implications. MATERIALS/METHODS: We developed 2 AI solutions for children aged 3-5 yrs using a generative adversarial network (GAN) model and a reinforcement learning (RL) framework. After training these solutions to produce daily diet plans, experts evaluated the human- and AI-generated diets in 2 steps. RESULTS: In the evaluation of adequacy of nutrition, where experts were provided only with nutrient information and no food names, the proportion of strong positive responses to RL-generated diets was higher than that of the human- and GAN-generated diets (P < 0.001). In contrast, in terms of diet composition, the experts' responses to human-designed diets were more positive when experts were provided with food name information (i.e., composition information). CONCLUSIONS: To the best of our knowledge, this is the first study to demonstrate the development and evaluation of AI to support dietary planning for children. This study demonstrates the possibility of developing AI-assisted diet planning methods for children and highlights the importance of composition compliance in diet planning. Further integrative cooperation in the fields of nutrition, engineering, and medicine is needed to improve the suitability of our proposed AI solutions and benefit children's well-being by providing high-quality diet planning in terms of both compositional and nutritional criteria.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.261-264
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• 2002

There is growing importance for intellectual capital, so corporations are developing Knowledge Management System (KMS) for Knowledge Management. There are two way in performing Knowledge Management, that is, Information Technology(IT) approach and Non-IT approach. IT approach focuses on developing KMS, and Non-IT approach people, business process, organizational culture and policy. According to interviews with experts and people in charge of knowledge management divisions, the IT approach and Non-IT approach should be adopted simultaneously for effective knowledge management. And, more focus should be placed especially on the Non-IT approach than IT approach for successful knowledge management. This research analyzed success and failure factors in knowledge management by questionnaire for experts and employees.

• 제어로봇시스템학회:학술대회논문집
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• 1987.10b
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• pp.277-281
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• 1987

This paper describes the development of an expert system for control system designs. Our CACSD expert system consists of 2 parts; one is the knowledge manager and the other is the CACSD package. The knowledge manager contains the inference engine and the control experts' knowledge. The CACSD package consists of the control algorithms used by the knowledge manager. The prototype system of our CACSD expert system is implemented on the IBM PC/AT and the results of tests are given in this paper.

• Korean Journal of Computational Design and Engineering
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• v.11 no.2
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• pp.88-96
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• 2006

This paper introduces an approach to ontology-based framework for knowledge management in a product development domain. The participants in a product life cycle want to share the product knowledge without any heterogeneity. However, previous knowledge management systems do not have any conceptual specifications of their knowledge. We suggest the three levels of knowledge framework. First level is an axiom, which specifies the semantics of concepts and relations. Second level is a product development knowledge map. It defines the common domain knowledge which domain experts agree with. Third level is a specialized knowledge for domain, which includes three knowledge types; expert knowledge, engineering function and data-analysis-based knowledge. We propose an ontology-based knowledge framework based on the three levels of knowledge. The framework has a uniform representation; first order logic to increase integrity of the framework. We implement the framework using prolog and test example queries to show the effectiveness of the framework.

• Journal of the Korean Society for information Management
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• v.16 no.2
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• pp.165-182
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• 1999

Knowledge and Knowledge Management have emerged as a current 'hot issue' for many organizations. This paper starts by exploring the definition of knowledge and knowledge management. It then analyzes the process of knowledge management and suggests the recommendations for effective knowledge management. Finally, it considers the pahership for knowledge management, and especially how librarians as knowledge professionals, users, and technology experts can contribute to effective knowledge management. These suggestions of the study will be used to implement knowledge management system that can organize, transfer, and share explicit and implicit knowledge.

• Acta Via Serica
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• v.7 no.2
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• pp.65-88
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• 2022

With the expansion of the Russian Empire southward in the nineteenth century, connoisseurs, art historians, and scholars in Russia began to pay attention to carpet traditions in the new territories of the Russian Empire in Turkestan. In journals and other specialty publications, they underscored a need to establish claims to authority over the knowledge of the traditional craft. They were highly attuned to parallel accounts of carpet weaving from regions that had a longer history of research and collecting of carpets. In contrast to the situation in Western Europe or the United States, commentators bemoaned the fact that the public and even professed experts in Russia did not properly appreciate carpets from the Caucasus and Central Asia. These scholars articulated a need to establish authority over the carpet weaving traditions of Russia's colonial possessions, resulting in a push toward a serious study of carpet weaving as a legitimate field of inquiry. This paper uses published sources on early carpet scholarship from the late nineteenth and early twentieth centuries to examine how carpet weaving traditions in Central Asia entered an imperial discourse of knowledge. It argues that attempts to understand and categorize carpet weaving as an art form occurred along two fronts. Intellectuals and scholars attempted to wrest control over the locus of knowledge from experts in the West as well as from local weavers. In the process, they established a distinctly imperial vision of carpet weaving in contrast to competing imperial discourses and over traditional forms of knowledge.

• Journal of Information Science Theory and Practice
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• v.11 no.2
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• pp.12-21
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• 2023

This study aims to develop ontologies regarding cultural knowledge of Thai-Khmer textiles by applying the Knowledge Engineering Methodology to build upon the ontologies. The process includes 1) generating the ontologies' objectives, 2) building ontologies, and 3) evaluating the ontologies. The researchers used OntOlogies Pitfall Scanner (OOPS!) to minimize defects and asked two experts to evaluate the ontologies' design. Protégé was used to design the ontologies, and WIDOCO was used to present the ontologies through the World Wide Web. It was found that the developed ontology consists of two classes, 16 sub-classes, and 16 relationships. The ontologies assessment found that there were seven items to fix according to the OOPS! software. Apart from the assessment program, the experts mentioned that all five aspects were suitable; namely, the ontology design was evaluated at 4.51 (Likert), the process of identifying scopes of definitions and objectives of development was 4.61, the applications and guidelines for further development was 4.58, the process of forming classes was 4.53, and the process of generating class's properties was 4.50.