• 전기저널
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• 4호통권112호
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• pp.24-29
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• 1986

• 원자력산업
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• 제7권1호통권47호
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• pp.88-93
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• 1987

• 기술사
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• 제26권3호
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• pp.69-79
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• 1993

This paper explains about general considerations and project management for a State of the Art utility supervisory systems. [1] The implementation and management of a supervisory system design project requires both a dedication of resources and application of good communications in order to be suc-cessful. [2] Success is on time delivery of a system to a satisfied customer at the proposal cost, [3] The recent experience of a company plus the collected comments from a number of ex-perienced control center project management provide a guideline for the company who is considering such a project. The Comments reflect typical situations or decision points faced by the project Manage.[2] This paper also attempts to help engineers in the task of specifying buying, and instal-ling a supervisory system[1]

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권8호
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• pp.305-314
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• 2017

Clustering is a method that collects data objects into groups based on their similary. Performance of the state-of-the-art clustering methods is different according to the data characteristics. There have been numerous studies that performed experiments to compare the accuracy of the state-of-the-art clustering methods by applying various kinds of datasets. A common problem of these studies is that they only consider clustering algorithms that yield the most accurate results for a particular dataset. They do not consider what factors affect the execution time of each clustering method and how they are affected. Nevertheless, execution time is an important factor in clustering performance if there is no significant difference in accuracy. In order to solve the problems of the existing research, through a series of experiments using various types of datasets, we compare the accuracy of four representative clustering methods. In addition, we perform practical clustering performance comparisons by deriving time complexity and identifying factors that influences to its performance.

• 패션비즈니스
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• 제14권5호
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• pp.112-127
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• 2010

Primitivism is a concept that expresses and organizes natural feelings of human beings which is hard to be identified by a rigid definition. It means "staying in the beginning or the initial state, not evolving or developing, and not affected by human beings from the intact natural state". Based on this meaning, the artistic style features inherent natural beauties, as well as plain and inornate design. These features have been reflected in a variety of art pieces. The aesthetic features shown in the primitivism art pieces can be categorized into four different aspects: naturalness, folksiness, sentimentality, and humorousness. These features, influencing modern fashion, have been reinvented by a number of fashion designers. They also adopted ideas from the fancy clothes and ornaments created in carefree life style of the regions retaining their primitive cultures, such as Africa, Oceania, and Pacific coasts, and applied those ideas to various silhouette, colors, patterns, and textiles. Particularly as for textile expressions, they tried printing techniques using the patterns motivated from primitive folk symbols or the nature, applied objet of primitive materials and elaborated ornaments that represent folk and primitive feelings, and employed the primitive techniques such as knotting, crude cutting, or natural draping, to reinvent them as textile expressions in modern fashion.

• Wind and Structures
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• 제10권2호
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• pp.153-176
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• 2007

The Proper Orthogonal Decomposition (POD) is a statistical method particularly suitable and versatile for dealing with many problems concerning wind engineering and several other scientific and humanist fields. POD represents a random process as a linear combination of deterministic functions, the POD modes, modulated by uncorrelated random coefficients, the principal components. It owes its popularity to the property that only few terms of the series are usually needed to capture the most energetic coherent structures of the process, and a link often exists between each dominant mode and the main mechanisms of the phenomenon. For this reason, POD modes are normally used to identify low-dimensional subspaces appropriate for the construction of reduced models. This paper provides a state-of-the-art and some prospects on POD, with special regard to its framework and applications in wind engineering. A wide bibliography is also reported.

• International Journal of Contents
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• 제11권2호
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• pp.1-8
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• 2015

In this paper, we describe a novel method for document layout analysis that is based on a Fuzzy Energy Matrix (FEM). A FEM is a two-dimensional matrix that contains the likelihood of text and non-text and is generated through the use of Fuzzy theory. The key idea is to define an Energy map for the document to categorize text and non-text. The proposed mechanism is designed for execution with a low-resolution document image, and hence our method has a fast processing speed. The proposed method has been tested on public ICDAR 2009 datasets to conduct a comparison against other state-of-the-art methods, and it was also tested with Korean documents. The results of the experiment indicate that this scheme achieves superior segmentation accuracy, in terms of both precision and recall, and also requires less time for computation than other state-of-the-art document image analysis methods.

• Ocean Systems Engineering
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• 제5권2호
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• pp.55-76
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• 2015

Of all the six degrees of freedom, the roll motion of a ship is the most poorly understood and displays complicated phenomena. Due to the low potential wave damping at the natural frequency, the effective analysis of ship roll dynamics comes down to the accurate estimation of the viscous roll damping. This paper provides overview of the importance of roll damping and an extensive literature review of the various viscous roll damping prediction methods applied by researchers over the years. The paper also discusses in detail the current state of the art estimation of viscous roll damping for ship shaped structures. A computer code is developed based on this method and its results are compared with experimental data to demonstrate the accuracy of the method. While some of the key references describing this method are not available in English, some others have been found to contain typographic errors. The objective of this paper is to provide a comprehensive summary of the state of the art method in one place for future reference.

• 대한조선학회지
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• 제8권1호
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• pp.103-118
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• 1971

Ferro-cement is a composite material made of portland cement mortar and wire(or chicken wire) reinforcement. In most cases, as a shipbuilding material, reinforcing steel rods and steel pipes are also used. This report will review the technique of ferro-cement boat building and will guide the working details. Beyond these, this report will present some test results of the ferro-cement test pannels and will compare those with the other well known shipbuilding material. As a matter of fact ferro-cement application to the shipbuilding material is quite not a new theory. There were already lots of case studies and actual ship building applications. But the technique to do this is not easily available to the interested persons and amateur shipbuilders. Therefore this report will stress most its "state-of-the-art review" and give kind guidance in using ferro-cement as a shipbuilding material. For the more interested research worker, technical references as much as listable are printed in the bibliography section on this report.

• 한국CDE학회논문집
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• 제3권1호
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• pp.68-85
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• 1998

Solid modeling refers to techniques for unambiguous representations of three-dimensional objects. Feature recognition is a sub-discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in stolid modeling for many years, and is considered to be a critical component for CAD/CAM integration. This paper gives a technical overview of the state of the art in feature recognition research. Rather than giving an exhaustive survey, I focus on the three currently dominant feature recognition technologies: graph-based algorithms, volumetric decomposition techniques, and hint-based geometric reasoning. For each approach, I present a detailed description of the algorithms being employed along with some assessments of the technology. I conclude by outlining important open research and development issues.