• IE interfaces
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• v.7 no.3
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• pp.125-135
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• 1994

This thesis reports the development of a Computer-Aided Process Planning system for rotational parts. The developed system ultimately generates process plans for rotational parts through a knowledge-base. The knowledge-base and decision-making algorithms are represented by Pascal computer programming language. We have developed a process planning system which adjusts the sequence of processes by itself to ensure the quality of the parts. This system generates more detailed job sequence and descriptions than other well-known process planning systems. We present realistic and efficient process plans through the integration of process planning and scheduling. This system optimizes flow time of parts by decreasing the number of machine set-ups.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.156-162
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• 2013

Social manufacturing architecture is based on information delivery through social media and SNS, PLM and social platform, crowd source and knowledge base on whole phase of product life cycle. Although advanced social manufacturing issues are rising globally, its technology emerging into domestic industry is likely to be slow. We focused to review technological changes and R&D trend, patent issues, and then suggest assignments and advices to be practiced for social manufacturing modeling.

• Journal of Ocean Engineering and Technology
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• v.21 no.6
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• pp.115-119
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• 2007

Inference rules of the knowledge base, generated by experts or optimization, may be often inconsistent and incomplete. This paper suggests a systematic and automatic method which extracts inference rules not from experts' subject but from data. First, input/output linguistic variables are partitioned into several properties by the fuzzy equalization algorithm and each combination of their properties comes to premise of inference rule. Then, the conclusion which is the mast suitable for the premise is selected by evaluating consistent measure. This method, automatically from data, derives inference rules from experience. It is shown through application that extracts new inference rules between hull dimensions and hull performance.

• Proceedings of the KSR Conference
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• 1999.11a
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• pp.242-255
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• 1999

In order to manufacture high quality goods, the engineers who will design them has to have board technical experience as well as profound engineering knowledge. The engineers also be able to design and manufacture well development goods base on new advanced technology. Design process can be defined as transforming activity raw material into finished producted for human needs. The wealth of nation depend on its ability to retrieve natural resources and manufacture goods. Its ability, creation of goods, is most fundamental component of economic wealth of rich country. The rich countries have combine their own design knowledge with computer technology and create new effective design process. In this paper, one of the useful and practice design process created for railway industry is introduced. Base on the concept of this design process, the automatic wheelchair lifter design for railway vehicle is performed.

• Journal of the Korea Society of Computer and Information
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• v.23 no.11
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• pp.25-30
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• 2018

Pattern classification system is often an important component of intelligent systems. In this paper, we present a pattern classification system consisted of the feature selection module, knowledge base construction module and decision module. We introduce a feature impact evaluation selection method based on fuzzy cluster analysis considering computational approach and generalization capability of given data characteristics. A fuzzy neural network, OFUN-NET based on unsupervised learning data mining technique produces knowledge base for representative clusters. 240 blemish pattern images are prepared and applied to the proposed system. Experimental results show the feasibility of the proposed classification system as an automating defect inspection tool.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.768-769
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• 2016

To prevent occupational disasters and build a pleasant work environment, it is necessary to develop a monitoring system to keep operators safe from the hazards. A variety of practical studies must be performed on application services designed to freely provide context-aware monitoring services in USN environments. This paper proposes a system in which work environment monitoring information can be monitored using a mobile phone and inference engine. The structure of a mobile work environment monitoring system is designed first. The proposed system is consisted of data manager, inference engine, database, and application knowledge base.

• Cross-Cultural Studies
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• v.19
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• pp.295-311
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• 2010

The concept of frame in semantics has implications for our understanding of such problematic terms as "meaning" and "concept". It is conventional to say that a particular word corresponds to a particular "concept" and to assume that concepts are essentially identical across speakers. In contrast, the notion of frame accepts that the frame for a particular word can vary across speakers as a function of their particular life experience. To say, instead of thinking in terms of words as expressing "concepts", we should think of them as tools, like frames, that cause listeners to activate certain areas of their knowledge base, with different areas activated to different degrees in different contexts of use. This notion is Fillmore's most crucial contribution to current cognitive linguistic theories, and his frame semantics is built on such a notion. This paper discusses the basic assumptions and goals of frame semantics, and examines the notion of frame and illustrates various framing words of English and Korean under such a notion.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.10
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• pp.112-122
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• 1996

In order to monitior machine tool condition and diagnose alarm states due to electrical and mechanical faults, and expert system using diagnostic parameters of NC machine tools was developed. A model-based knowledge base was constructed via searching and comparing procedures of diagnostic parameters and state parameters of the machine tool. Diagnostic monitoring results generate through a successive type inference engine were graphically displayed on the screen of the console. The validity and reliability of the expert system was rcrified on a vertical machining center equipped with FANUC OMC through a series of experiments.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.10
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• pp.58-67
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• 1997

Generally, die polishing process occupies about 30 .approx. 50% of the whole die manufacturing time. However, die polshing has not been automated yet, since it needs a great deal of experience and skill. This study aims at development of an expert system for die polishing which gives such optimal parameters as tool and polishing conditions. Through experiments, polishing characteristics such as surface roughness, stock removal and scratch were analyzed quantitatively for each polishing tool, and a knowledge base for the expert system was established. Evaluation tests show that the developed system works well to suggest the optimal polishing conditions and it is very promising.

• Journal of Korean Society for Quality Management
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• v.18 no.2
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• pp.18-24
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• 1990

The location of inspection stations is a significant component of production systems. In this paper, a prototype expert system is designed for deciding the optimal location of inspection stations. The production system is defined as a single channel of n serial operation stations. The potential inspection station can be located after any of the operation stations. Nonconforming units are generated from a compound binomial distribution with known parameters at any given operation station. Traditionally Dynamic programming, Zero-one integer programming, or Non-linear programming techniques are used to solve this problem. However a problem with these techniques is that the computation time becomes prohibitively large when t be number of potential inspection stations are fifteen or more. An expert system has the potential to solve this problem using a rule-based system to determine the near optimal location of inspection stations. This prototype expert system is divided into a static database, a dynamic database and a knowledge base. Based on defined production systems, the sophisticated rules are generated by the simulator as a part of the knowledge base. A generate-and-test inference mechanism is utilized to search the solution space by applying appropriate symbolic and quantitative rules based on input data. The goal of the system is to determine the location of inspection stations while minimizing total cost.