• Journal of the Korean Professional Engineers Association
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• v.45 no.3
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• pp.18-22
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• 2012

Main purpose of this paper is to describe what is radwastes and spent fuel of radioisotope and nuclear power plants. Although this term is well adapted among the people nowadays but it is necessary to know more clear definition in accordance with atomic energy promotion law. By various means of scientific knowledge and engineering techniques, we can shield harmful radiation from radwastes and spent fuel, also could know how we can take benefits from radioisotope applications for human health care and other applications. It is realized that problem of spent fuel is not easy task to solve at the moment because we have to consider many sides.

• Journal of the Korean Professional Engineers Association
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• v.16 no.2
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• pp.11-17
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• 1983

This work presents a method for the determination of the safety factor of a slope based on the theory of the calculus of variations. The method allows for the determination of the critical sliding line (The one giving the minimum safety factor) without the necessity of guessing about its shape, which leads to a considerable economy of time and effort. Furthermore it gives the actual safety factor of the slape and consequently a more complete knowledge of the safety of the slope is obtained.

• Journal of the Korean Professional Engineers Association
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• v.44 no.5
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• pp.36-41
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• 2011

Design of blast resistant structures (protective structures) require the adequate design and construction practices as well as the knowledge of characteristics of the blast loads, behavior of structures and their components under these loads. This paper focuses on how to design and evaluate the structures for blast resistance, and provides principles and discussion on analysis and design capability in protective technology and recommendations.

• Journal of Advanced Marine Engineering and Technology
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• v.27 no.1
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• pp.42-48
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• 2003

In general many engineers can diagnose the fault condition using the abnormal ones among data monitored from a diesel engine, but they don't need the system modelling or identification for the work. They check the abnormal data and the relationship and then catch the fault condition of the engine. This paper proposes the construction of a fault diagnosis engine through malfunction data gained from the data fault detection system of neural networks for diesel generator engine, and the rule inference method to induce the rule for fuzzy inference from the malfunction data of diesel engine like a site engineer with a fuzzy system. The proposed fault diagnosis system is constructed in the sense of the Malfunction Diagnosis Engine(MDE) and Hierarchy of Malfunction Hypotheses(HMH). The system is concerned with the rule reduction method of knowledge base for related data among the various interactive data.

• International Journal of Automotive Technology
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• v.8 no.3
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• pp.327-335
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• 2007

A new optimization scheme and some key techniques are proposed in the development of a vehicle glass drop design software system. The key issues of the design system are how to regenerate the glass surface and make the vehicle glass drop down along the glass channels. To resolve these issues, a parameterized model was created at first, in which the optimizing method and Knowledge Fusion techniques were adopted the optimized process was then written into the glass drop design system by coding with C language and UGS/Open Application Programme Interface functions etc. Therefore, the designer or engineer can simulate the process of glass dropping along the channels to assess the potential interference between glass and door accessory by using this software system. All of the testing results demonstrate the validity of the optimizing scheme, and the parametric design software effectively solves the key issues on development of the door accessory package.

• Proceedings of the KIEE Conference
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• 1993.11a
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• pp.53-55
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• 1993

This paper describes the development of a software that has the man expert knowledge, experience and inference. This software is helpful for selecting the motors and driving systems which are best fit for the applications. Developed software can automatically select the most reasonable motor driving systems, only if a semi-skilled engineer inputs the performance criteria for the applications and mechanical data. Expert system inference engine and knowledge-base are implemented by C programming language. Data-base was implemented from manufacturer's catalogues for DC motors and brushless DC motors. Efficiencies of the various motor driving systems are compared reference on the average efficiency depends on the operating profiles. Developed expert system was tested in various of applications to verify the reliability, quick and easy selecting of the motor driving systems.

• Journal of the Korean Professional Engineers Association
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• v.39 no.1
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• pp.70-73
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• 2006

New human sense of value in Knowledge Society of 21th Century is reestablished by that it demanded new thinking for changed today's stage. Reestablishment of new human sense of value is considered by tradition and custom, and now then today's social standard due to focus. Productive human sense of value do to recreate for all round human relations and fertility human life demand it. Korea National Statistical Office(http://www.nso.go.kr-Dec 20. 2005) was officially announced it. that Korean Life Table(2003) presented the reminder of human life and roughly equation model of 'the reminder of human life' is 'Korean average longevity of human life-Present Korean age=About the reminder of human life' on the basic 2003 year. And then we will live a life worth living for our remaining day

• Asia pacific journal of information systems
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• v.9 no.1
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• pp.115-142
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• 1999

Legacy applications are valuable assets that should be integrated into next generation business systems. To gain this advantage, progressive companies can reverse engineer the legacy business operations. This paper presents a form-driven object-oriented reverse engineering(FORE) methodology by the use of business forms to recover semantics of legacy applications. They retain the user-oriented contents of business and thus are easily understandable. Our form driven object-oriented reverse engineering methodology consists of five phases: form and usage analysis, form object slicing, object structure modeling, scenario design, and model integration. Knowledge about form structure and user interaction with legacy applications is used to capture the design semantics. An object model, which consists of an object structure model and scenario results from such form knowledge. The resulting object model is more likely to help reverse engineers understand and reuse legacy systems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.2
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• pp.231-238
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• 1993

A rules of fuzzy control is to represent an expert‘s and engineer‘s ambiguous control knowledge of system with some lingustic rules. This rule is very difficult to represent perfectly because expert‘s knowledge is not precise and the rule is not perfect. We propose the fuzzy reasoning and learning to upgrade precision of imperfect rules successively after system running. In the proposed method, the precision of the backward part of a fuzzy rule is improved by back propagation learning method. Also, the method reasons the compatibility degree of the forward part of fuzzy rule by associative memory method. This method this is successfully applied to design auto-parking fuzzy controller in which expert‘s technology and knowledge are required in the limited area.

• Journal of Korea Multimedia Society
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• v.13 no.9
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• pp.1263-1271
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• 2010

Ontologies, the important implementation tools for semantic web, are widely used in various areas such as search, reasoning, and knowledge representation. Developing well-defined ontologies, however, requires a lot of resources in terms of time and materials. There have been efforts to construct ontologies automatically to overcome these problems. In this paper, ontologies are automatically constructed from the natural languages sentences directly. To do this, the analysis of morphemes and a sentence structure is performed at first. then, the program finds predicates inside the sentence and the predicates are transformed to the corresponding ontology predicates. For matching the corresponding ontology predicate from a predicate in the sentence, we develop the "predicate ontology". An experimental comparison between human ontology engineer and the program shows that the proposed system outperforms the human engineer in an accuracy.