• Journal of Distribution Science
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• v.11 no.3
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• pp.13-22
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• 2013

Purpose - Product purpose for optimal values solution for synthesize evaluative criteria and optimize product design values. In addition, product designer has to consider the product design to conform to project, laws and regulations, authentication, from the product design stage. Research design, data, methodology - How to use an evaluative criteria model's imprecise market data by evaluative criteria research design; product mapping relationships between design parameters and customer requirements using product predicted value method. An evaluative criteria model and their associated criteria status, product evaluative criteria model of results. Results - Therefore, after the enterprise product design project analysis, effectiveness and the customer degree of satisfaction must be appraised to obtain the maximum value for the benefit on behalf of the implementation goals, the promotion product level and market competition strength. Conclusions - In multi criterion decision making (MCDM), using its searching software capacity to obtain the optimal solution.

• Communications of the Korean Mathematical Society
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• v.11 no.3
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• pp.725-742
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• 1996

In this paper we give some sharp expressions of the weakly convergent sequence coefficient WCS(X) of a Banach space X. They are used to prove fixed point theorems for involution mappings T from a weakly compact convex subset C of a Banach space X with WCS(X) > 1 into itself which $T^2$ are both of asymptotically nonexpansive type and weakly asymptotically regular on C. We also show that if X satisfies the semi-Opial property, then every nonexpansive mapping $T : C \to C$ has a fixed point. Further, some questions for asymtotically nonexpansive mappings are raised.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.5
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• pp.141-148
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• 1994

Both the neural network classifier utilizing multi-layer perceptron and the linear tree classifier composed of hierarchically structured linear discriminating functions can form arbitrarily complex decision boundaries in the feature space and have very similar decision making processes. In this paper, a new method for automatically choosing the number of neurons in the hidden layers and for initalzing the connection weights between the layres and its supporting theory are presented by mapping the sequential structure of the linear tree classifier to the parallel structure of the neural networks having one or two hidden layers. Experimental results on the real data obtained from the military ship images show that this method is effective, and that three exists no siginificant difference in the classification acuracy of both classifiers.

• Journal of The Korean Digital Architecture Interior Association
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• v.9 no.3
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• pp.47-57
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• 2009

The purpose of this study is to propose the design elements useful to give place identity to street space. The theory for place identity is studied and the components-Physical element, Sense, Program, Activity, Context-for identity of place is created. In the case study of SamcheongdongGil, the qualitative research method of Free Picturing Technique and Cognitive Mapping is executed and the samples gathered from the research are analyzed. In the process of analysis, the contents of qualitative evaluation by users is put in order as components for identity of place. Moreover, the design elements for street space are extracted from the case study and theories of urban design. The design elements are summarized as the followings: street pattern with high permeability, various streetscapes, greenscapes, semi public(private) spaces, the third places, public arts, transparent facades, and outdoor activities. Finally, the fruits and boundary of this study are described and the importance of place identity is.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.973-980
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• 1988

This two-part paper presents a control method that allows for stable interaction of a robot manipulator with the environment. In part 1, we focus on the input ouput relationships (unstructured modeling) of the robot and environment dynamics. This analysis leads to a general condition for stability of the robot and environment taken as a whole. This stability condition, for stable maneuver, prescribes a finite sensitivity for robot and environment where sensitivity of the robot(or the environment) is defined as a mapping forces into displacement. According to this stability condition, smaller sensitivity either in robot or in environment leads to narrower stability range. In the limit, when both systems have zero sensitivity, stability cannot be guaranteed. These models do not have any particular structure, yet they can model a wide variety of industrial and research robot manipulators and environment dynamic behavior. Although this approach of modeling may not lead to any design procedure, it will allow us to understand the fundamental issues in stability when a robot interacts with an environment.

• Language and Information
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• v.4 no.1
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• pp.43-65
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• 2000

Along with the flourishign development of computational linguistics, research on the meanings of individual words has started to resume. Polyusemous words are especially brought into focus since their multiple senses have placed a real challenge to linguists and computer scientists. This paper mainly concerns the following three questions with regard to the treatments of such polysemous nouns and verbs in English and Korean. Firstly, what types of information should be represented in individual lexical entries for those polysemous words\ulcorner Secondly, how different are corresponding polysemous lexical entries in both languages\ulcorner Thirdly, what does a mental lexicon look like with regard to polysemous lexical entries\ulcorner For the first and second questions, Pustejosky's (1995) Generative Lexicon Theory (hereafter GLT) will be discussed in detail: the main focus falls on developing alternative way of representing (polysemous) lexical entries. For the third question, a brief discussion is made on mapping between concepts and their lexicalizations. Furthermore, a conceptual graph around conept 'bake' is depicted in terms of Sowa(2000)

• Nuclear Engineering and Technology
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• v.33 no.5
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• pp.457-467
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• 2001

It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.

• Publications of The Korean Astronomical Society
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• v.19 no.1
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• pp.65-70
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• 2004

An imaging spectrograph concept optimized for extended far-ultraviolet emission sources is presented. Although the design was originally developed for FIMS aboard the first Korean science satellite STSAT-l launched on September 27, 2003, no rigorous theoretical background of the spectrograph design has been published. The spectrograph design employs an off-axis parabolic cylinder mirror in front of a slit that guides lights to a diffraction grating. The concave grating provides moderate spatial resolution over a large field of view. This mapping capability is absent in most astronomical instruments but is crucial to the understanding of the nature of a variety of astrophysical phenomena. The aberration theory presented in this paper can be extended to holographic gratings in order to improve the spatial as well as the spectral resolutions.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2004.11a
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• pp.245-250
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• 2004

The purpose of this study is to understand the classified advantages and weak points of each landscape predictable simulation methods & techniques and to examine the suitability of through or selecting the predictable method suitable for present skill range and on studying the case of resident district unit plan. Therefore, we examined and evaluated through the case study of two sites. The results are as follows. It was very available to process the skill of mapping and picture combining method together at once. But, there was a limitation that is not flexible in the range of error on accuracy, so it was necessary to practically use the equipment and to study the theory. Providing the standard suitable for regional landscape character in each evaluation standard was also necessary.

• Communications of the Korean Mathematical Society
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• v.9 no.3
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• pp.565-570
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• 1994

In this article we prove a version of the Perron-Frobenius Theorem in linear algebra using the Brouwer's Fixed Point Theorem in topology. We will mostly concentrate on he qualitative aspect of the Perron-Frobenius Theorem rather than quantitative formulas, which would be enough for theoretical investigations in ergodic theory. By the nature of the method of the proof, we do not expect to obtain a numerical estimate. But we may regard it worthwhile to see why a certain type of result should be true from a topological and geometrical viewpoint. However, a geometric argument alone would give us a sharp numerical bounds on the size of the eigenvalue as shown in Section 2. Eigenvectors of a matrix A will be fixed points of a certain mapping defined in terms of A. We shall modify an existing proof of Frobenius Theorem and that will do the trick for Perron-Frobenius Theorem.