• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.123-125
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• 2005

Many researchers conducted the effort for improving the classification accuracy of satellite image. Most of the study has used optical spectrum information of each pixel for image classification. By applying this method for high resolution satellite image, number of class becomes increase. This situation is remarkable for house, because the roof of house has variety of many colors. Even if the classification is carried out for many classes, roof color information of each house is not necessary. Most of the case, we need the information that object is house or not. In this study, we propose the method for detecting the object by using Genetic Algorithms (GA). Aircraft was selected as object. It is easy for this object to detect in the airport. An aircraft was taken as a template. Object image was taken from QuickBird. Target image includes an aircraft and Haneda Airport. Chromosome has four or five parameters which are composed of number of template, position (x,y), rotation angle, rate of enlarge. Good results were obtained in the experiment.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.9
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• pp.349-358
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• 2021

Recently, a method of finding the attention area or localization area for an object of an image using CAM (Class Activation Map)[1] has been variously carried out as a study of WSOL (Weakly Supervised Object Localization). The attention area extraction from the object heat map using CAM has a disadvantage in that it cannot find the entire area of the object by focusing mainly on the part where the features are most concentrated in the object. To improve this, using CAM and Selective Search[6] together, we first expand the attention area in the heat map, and a Gaussian smoothing is applied to the extended area to generate retraining data. Finally we train the data to expand the attention area of the objects. The proposed method requires retraining only once, and the search time to find an localization area is greatly reduced since the selective search is not needed in this stage. Through the experiment, the attention area was expanded from the existing CAM heat maps, and in the calculation of IOU (Intersection of Union) with the ground truth for the bounding box of the expanded attention area, about 58% was improved compared to the existing CAM.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1439-1446
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• 2011

This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the higher correlation feature information and Principle Component Analysis. Since the suggested method doesn't require a lot of computation than the method using existing geometric information or stereo image, the fact that it is very suitable for building the real-time system has been proved through the experiment. In addition, since the existing point to point method which is a simple distance calculation has many errors, in this paper to improve recognition rate the recognition error could be reduced by using several successive input images as a unit of recognition with K-Nearest Neighbor which is the improved Class to Class method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.12
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• pp.1412-1422
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• 1992

This paper describes an implementation of the document class editor based on ODA(Open Document Architecture). For processing, we divided document structure into generic logical structure and generic layout structure as ODA standard. Also this editor could edit document profile. Using the utility which was implemented to investigate the composed document by object. we confirmed the document. And we could verify the ODIF stream data of the document. We designed this editor based on DAP level 2 of international functional standard. This system was implemented in environment of the X window system and the Motif as graphical user interface. This document class editor will be used to create real document having specific document structure.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.8
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• pp.1231-1238
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• 1990

Though the studies on object-oriented software design which software component corresponds to phrases appearing in sentences of natural language have been going on, the design methodology has not been clearly set up yet. In this paper, the module structure of good quality was found not only by nouns that indicate class of object but also by subdividing sentences. I also suggested objected-oriented methodology observing the interdependency between objects and their relationships, and assessed the control problem of lift as an example.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.197-205
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• 1996

Unification of neural network with a hierarchical pattern recognition is presented for recognizing large set of objects. A two-step identification procedure is developed for pattern recognition: coarse and fine identification. The coarse identification is designed for finding a class of object while the fine identification procedure is to identify a specific object. During the training phase a course neural network is trained for clustering larger set of reference objects into a number of groups. For training a fine neural network, expert neural network is also trained to identify a specific object within a group. The presented idea can be interpreted as two step identification. Experimental results are given to verify the proposed methodology.

• Journal of the Korea Society for Simulation
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• v.6 no.1
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• pp.109-122
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• 1997

The Off-Dock Container Yard (ODCY)s in Pusan are located at 48 different places, and it causes serious problems in the container cargo transport and inland traffic near Pusan district. Hence, the analysis and evaluation of ODCY operation is important. Therefore, this paper proposes a simulation model which evaluates the operation of ODCY. It also proposes a simulation model using an object-oriented approach which includes the system is modeled with object-class hierarchy and SIMPLE++, an object-oriented simulation software, is used to develop the model.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.23-32
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• 2007

Nowadays, XML has been favored by many companies internally and externally as a means of sharing and distributing data, due to its open-architectural structure. XML-GL, a graphical query language for document has the advantage of containing both structuring and defining of itself. By incorporating UML an XML document can become object-oriented and can be represented by graphical means. This paper proposes a XML-GL query modeling solution by using UML class diagrams. In order for the modeled objects to be properly restricted, the Object Constraint Language has been defined. This process converts XML documents into Object-Oriented data and combined with UML class diagrams, searches for XML documents can be increased.

• Bulletin of the Korean Mathematical Society
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• v.39 no.1
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• pp.123-131
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• 2002

Let A(p, k) (p, k$\in$N) be the class of functions f(z) = $z^{p}$ + $a_{p+k}$ $z^{p+k}$+… analytic in the unit disk. We introduce a subclass H(p, k, λ, $\delta$, A, B) of A(p, k) by using the Ruscheweyh derivative. The object of the present paper is to show some properties of functions in the class H(p, k, λ, $\delta$, A, B). B).

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.371-373
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• 1998

이 기종간의 효율적인 문서 교환을 목적으로 생겨난 SGML(Standard Generalized Markup Language)은 현재 여러 많은 연구기관 및 재단에서 문서의 표준으로 잡아가고 있다. 최근에 와서는 SGML, DTD를 모델링 하기 위한 여러 방법이 제시되고 있다. 본 논문은 이런 SGML, DTD를 객체지향 Class Diagram에 기반 한 형태로 변환하는 알고리즘을 제시한다. 이를 통해 우리는 점점 그 규모가 방대해 지고 있는 SGML 문서를 객체지향 DB로 저장할 수 있게 될 것이다.