• 대한의용생체공학회:의공학회지
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• 제11권1호
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• pp.65-70
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• 1990

The phenomenon of color sensory has been mainly studied on the relation with the stimulus source of light source color according to dispersed energy of light. However, it has not been definitely found that the phenomenon of color sensory be collcerned with evoked potentials stimulated by object color. This paper proposes the method that evoked potentials stimulated by object colors are analyzed and examined on the phenomemon of color sensory. The model of evoked potentials is assumed that it is consisted of an additive noise and a transient signal caused by stimulus. The method which is used to estimate the signal is time-varying filtering.

• 정보처리학회논문지D
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• 제12D권7호
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• pp.957-964
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• 2005

웹 환경이 급변함에 따라 인간과 컴퓨터간의 복잡한 상호작용을 지원하기 위한 인터페이스에 대한 설계가 필요하게 되었다. 본 논문에서는 사용자 인터페이스의 품질 향상을 위하여 객체 모델링 기법을 제시한다. 사용자 인터페이스의 가시적 응집도 향상을 위하여 비즈니스 이벤트객체 모델링, 태스크 객체 모델링, 트랜잭션 객체 모델링, 폼 객체 모델링과 같은 4 가지의 비즈니스 이벤트 객체를 제안한다. 본 논문에서 제시하는 4단계 설계를 통하여 사용자 인터페이스 프로토타입의 가시적 응집도를 향상시킬 수 있다. 이것은 비즈니스 이벤트의 가시적 응집도를 향상시킬 수 있도록 하고, 비숙련된 설계자도 향상된 사용자 인터페이스 프로토타입을 개발할 수 있도록 한다 또한 비즈니스 태스크의 이해도를 증진시키고 프로토타입 시스템 개발 회수를 줄일 수 있다.

• 대한원격탐사학회지
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• 제23권3호
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• pp.153-160
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• 2007

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.

• 한국정밀공학회지
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• 제17권10호
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• pp.56-62
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• 2000

A fast and precise technique to make 3-dimensional object which is called direct metal shaping process is processed. It is very useful technique in design and inspection. Using this developed system, a solid object is made. In experiment, test parts are built by varying three factors, laser power, scan path, scan speed. This process used device, which is different from the widely used in rapid prototyping in that powder feeding device is used. Spraying powder directly at the focused laser beam and then three dimensional object is made by the deposit of melted metal powder. The optimum scanning path is found to be zigzag path, which had little thermal affection on base metal. As a result of these experiments, it was found that optimum scanning speed is 15mm/sec laser power is 50W. This constructed 3-dimensional object could be used in mold manufacturing directly.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1377-1381
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• 2003

This paper describes real time object tracking of 3D objects in 2D image sequences. The moving objects are segmented from the image sequence using morphological operations. The moving objects are segmented by the method of differential image followed by the process of morphological dilation. The moving objects are recognized and tracked using statistical moments. The direction of moving objects are determined by the Hough transform. The straight lines in the moving objects are found with the help of Hough transform. The direction of the moving object is calculated from the orientation of the straight lines in the direction of the principal axes of the moving objects. The direction of the moving object and the displacement of the object in the image sequence is used to calculate the velocity of the moving objects. The simulation results of the proposed method are promising on the test images.

• 한국CDE학회논문집
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• 제13권3호
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• pp.187-199
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• 2008

This paper describes a C++ class hierarchy of implicit objects for geometry modeling and processing. This class structure provides a software kernel for integrating many various models and methods found in current implicit modeling areas. The software kernel includes primitive objects playing a role of unit element in creating a complex shape, and operator objects used to construct more complex shape of implicit object formed with the primitive objects and other operators. In this paper, class descriptions of these objects are provided to better understand the details of the algorithm or implementation, and its instance examples to show the capabilities of the object classes for constructive shape geometry. In addition, solid modeling system shown as an application example demonstrates that the proposed implicit object classes allow us to carry out modern solid modeling techniques, which means they have the capabilities to extend to various applications.

• 아동학회지
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• 제7권1호
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• pp.85-95
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• 1986

The purpose of the present research was to study effects of experimental conditions and developmental tendency in the use of external cues in memory-for-object location in toddlers. This study consisted of two experiments. In study 1, the subjects were 12 toddlers, 18 to 23 months old ; in study 2, 30 toddlers, 24 to 41 months old. The findings showed that memory-for-object location in toddlers was different in accordance with experimental conditions; that is, memory-for-object location in the natural condition was significantly better than in the artificial condition. Effects of external cues were found ; that is, memory-for-object location was best in the condition of spatial cues, and next best in the condition of picture cues, and least good in the no cue condition.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1994년도 춘계공동학술대회논문집; 창원대학교; 08월 09일 Apr. 1994
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• pp.58-66
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• 1994

The philosophy of object-oriented has found its role in various applications such as programming languages, databases, distributed systems, etc. Discussed in this paper is an experience of the object-oriented programming technique obtained while developing a particular CAD/CAM system. It has been well-known that the object-oriented programming language has good features enabling the improved reusability and extensibility of an existing code. The features include data abstraction, encapsulation, inheritance, polymorphism, and so on. This paper presents how these features of the object-oriented programming language, C++ in particular, can be applied to the implementation of geometric algorithms as well as graphical user interfaces.

• 대한임베디드공학회논문지
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• 제9권1호
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• pp.53-59
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• 2014

In multiple object tracking, accurate detection for each of objects that appear sequentially and effective tracking in complicated cases that they are overlapped with each other are very important. In this paper, we propose a multiple object tracking system that has a concrete detection and tracking characteristics by using multi-lateral histogram and SIFT feature extraction algorithm. Especially, by limiting the matching area to object's inside and by utilizing the location informations in the keypoint matching process of SIFT algorithm, we advanced the tracking performance for multiple objects. Based on the experimental results, we found that the proposed tracking system has a robust tracking operation in the complicated environments that multiple objects are frequently overlapped in various of directions.

• 디지털산업정보학회논문지
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• 제12권4호
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• pp.115-121
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• 2016

Recently, it has become an important problem to extract semantic objects from videos, which are useful for improving the performance of video compression and video retrieval. In this thesis, an automatic extraction method of moving objects of interest in video is suggested. We define that an moving object of interest should be relatively large in a frame image and should occur frequently in a scene. The moving object of interest should have different motion from camera motion. Moving object of interest are determined through spatial continuity by the AMOS method and moving histogram. Through experiments with diverse scenes, we found that the proposed method extracted almost all of the objects of interest selected by the user but its precision was 69% because of over-extraction.