• 대한산업공학회지
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• 제23권4호
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• pp.669-686
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• 1997

In this research, an object-oriented Petri net model for representing a flexible process plan is proposed, which is hierarchically multi-faceted for supporting planning, scheduling, and shop floor control functions. The multi-faceted process plan model consists of the following: a) an object model which represents on object-oriented data model, b) a static model which represents a process flow model with process alternatives, and c) a dynamic model which represents a process activity model with resources alternatives, of a flexible process plan. Petri nets allow the static and the dynamic process plan models to be represented in a unified formalism with an ease of model transformation. The multi-faceted process plan model suggested in this paper, is illustrated with a prismatic port in comprehensive detail.

• Spatial Information Research
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• 제3권2호
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• pp.191-204
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• 1995

데이타 모델(data model)이란 실세계에 대한 공간 및 비공간적 특성(feature)을 추상화한 시스템 모델이다. 각 시스템들을 고유한 데이타 모델을 통해 외부 세계에 대한 내부 표현및 외부 세계와의 접속관계에 대한 틀(framework)을 정의하게 되며, 공간 질의어는 지리 정보시스템에서 정의하고 있는 외부 세계화의 접속 관계를 우한 효과적인 틀의 하나이다. 기존의 지리 정보 시스템에서는 관계형 데이타 모델에 기반한 공간 데이타 모델들이 주로 사용되었으므로 데이타 추상화(abstraction)및 상속 (inheritance)을 통한 복합 객체의 표현에 문제점이 있었다. 본 논문에서는 ODMG의 객체 모델을 기반으로 평면 위상 모델 (planar topological model)을 수용하여 객체지향 데이타 모델인 위상 객체 모델(Topological Object Model : TOM)을 제안하고, 이를 기반으로 객체지향 공간 질의어인 OQL/Geo을 설계하였다. OQL/Geo은 ODMG에 의해 개발된 질의어인 OQL을 기반으로 하여 위상 객체 모델을 효과적으로 표현할 수 있도록 확장하였으며, 기하연산, 위상연산및 가시연산등의 풍부한 연산자들을 제공하고 있으며, 복잡한 공간 분석에 대한 요구 뿐 아니라 질의 결과에 대한 출력 형식도 다양하게 표현할 수 있도록 하였다.

• 제어로봇시스템학회논문지
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• 제14권1호
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• pp.54-61
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• 2008

This paper proposes a new algorithm for detecting and recognizing overlapped objects among a stack of arbitrarily located objects using a signature representation scheme. The proposed algorithm consists of two processes of detecting overlap of objects and of determining the boundary between overlapping objects. To determine overlap of objects, in the first step, the edge image of object region is extracted and those areas in the object region are considered as the object areas if an area is surrounded by a closed edge. For each object, its signature image is constructed by measuring the distances of those edge points from the center of the object, along the angle axis, which are located at every angle with reference to the center of the object. When an object is not overlapped, its features which consist of the positions and angles of outstanding points in the signature are searched in the database to find its corresponding model. When an object is overlapped, its features are partially matched with those object models among which the best matching model is selected as the corresponding model. The boundary among the overlapping objects is determined by projecting the signature to the original image. The performance of the proposed algorithm has been tested with the task of picking the top or non-overlapped object from a stack of arbitrarily located objects. In the experiment, a recognition rate of 98% has been achieved.

• 한국정보처리학회논문지
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• 제6권5호
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• pp.1241-1252
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• 1999

It is proposed in TINA, the open information telecommunication network architecture, that the definition of object group which is collection of objects provides a decrease of complex networking and a facility of object managing by service executing of application on distributed computing environment. Based on a new distributed object group model[13] we have been researched according to TINA specification, this paper proposed the object group model with the scheduler object and objects management mechanisms that can support real-time services on CORBA. To do this, we described the definition of object grouping and the requirements to suggest the object group model supporting real-time service, designed the object group structure and functional components containing in an object group using James Rumbaugh's modelling[12], and showed a class diagram of components in an object group. This paper designed IDLs of an object group manager and scheduler among the components, and finally showed the procedures of management and service interconnections between objects in the different object groups vi ETD.

• 대한기계학회논문집A
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• 제27권5호
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• pp.697-704
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• 2003

In this paper, the visual tracking system for arbitrary shaped moving object is proposed. The established tracking system can be divided into model based method that needs previous model for target object and image based method that uses image feature. In the model based method, the reliable tracking is possible, but simplification of the shape is necessary and the application is restricted to definite target mod el. On the other hand, in the image based method, the process speed can be increased, but the shape information is lost and the tracking system is sensitive to image noise. The proposed tracking system is composed of the extraction process that recognizes the existence of moving object and tracking process that extracts dynamic characteristics and shape information of the target objects. Specially, active contour model is used to effectively track the object that is undergoing shape change. In initializatio n process of the contour model, the semi-automatic operation can be avoided and the convergence speed of the contour can be increased by the proposed effective initialization method. Also, for the efficient solution of the correspondence problem in multiple objects tracking, the variation function that uses the variation of position structure in image frame and snake energy level is proposed. In order to verify the validity and effectiveness of the proposed tracking system, real time tracking experiment for multiple moving objects is implemented.

• 드라이브 ㆍ 컨트롤
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• 제16권2호
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• pp.22-29
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• 2019

This study presented a model predictive tracking control algorithm of autonomous truck based on object state estimation using extended Kalman filter. To design the model, the 1-layer laser scanner was used to estimate position and velocity of the object using extended Kalman filter. Based on these estimations, the desired linear path for object tracking was computed. The lateral and yaw angle errors were computed using the computed linear path and relative positions of the truck. The computed errors were used in the model predictive control algorithm to compute the optimal steering angle for object tracking. The performance evaluation was conducted on Matlab/Simulink environments using planar truck model and actual point data obtained from laser scanner. The evaluation results showed that the tracking control algorithm developed in this study can track the object reasonably based on the model predictive control algorithm based on the estimated states.

• 디지털산업정보학회논문지
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• 제13권1호
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• pp.125-133
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• 2017

Color in an image is determined by illuminant and surface reflectance. So, to recover unique color of object, estimation of exact illuminant is needed. In this study, the illumination models suggested to get the object color constancy with the physical illumination model based on physical phenomena. Their characteristics and application limits are presented and the necessity of an extended illumination model is suggested to get more appropriate object colors recovered. The extended illumination model should contain an additional term for the ambient light in order to account for spatial variance of illumination in object images. Its necessity is verified through an experiment under simple lighting environment in this study. Finally, a reconstruction method for recovering input images under standard white light illumination is experimented and an useful method for computing object color reflectivity is suggested and experimented which can be induced from combination of the existing illumination models.

• 전산구조공학
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• 제8권3호
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• pp.123-133
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• 1995

본 연구는 통합 구조설계 시스템의 구축에서 객체지향적인 방법론을 도입하여 건축 구조물을 객체모델링하고, 구조해석 객체모델(Structural Analysis Object Model, SAOM)과 구조설계 객체모델(Structural Design Object Model, SDOM)을 개발하여 통합 구조설계 시스템의 원형(Prototype)을 제시한다. 구조해석 객체모델은 구조부재를 모델링한 것으로 유한요소법을 이용하역 구조물의 해석을 실시하며, 구조설계 객체모델은 한국 강구조 기준에 의해 구조부재의 적합성을 검토하도록 모델링 하였다. 이 두 모델은 통합 구조설계 시스템을 구축하는데 유용하도록 의미 추상적이고, 캡슐화되고, 재사용성이 높다.

• ETRI Journal
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• 제34권3호
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• pp.399-409
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• 2012

In this paper, we propose a new color histogram model for object tracking. The proposed model incorporates the color arrangement of the target that encodes the relative spatial distribution of the colors inside the object. Using the color arrangement, we can determine which color bin is more reliable for tracking. Based on the proposed color histogram model, we derive a mean shift framework using a modified Bhattacharyya distance. In addition, we present a method of updating an object scale and a target model to cope with changes in the target appearance. Unlike conventional mean shift based methods, our algorithm produces satisfactory results even when the object being tracked shares similar colors with the background.

• 대한임베디드공학회논문지
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• 제17권5호
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• pp.289-296
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• 2022

In this paper, we developed a deep learning-based recyclable object detection model. The model is developed based on YOLOv5 that is a one-stage detector. The deep learning model detects and classifies the recyclable object into 7 categories: paper, carton, can, glass, pet, plastic, and vinyl. We propose two methods for recyclable object detection models to solve problems during training. Bounding Box CutMix solved the no-objects training images problem of Mosaic, a data augmentation used in YOLOv5. Standardized Distance-based IoU replaced DIoU using a normalization factor that is not affected by the center point distance of the bounding boxes. The recyclable object detection model showed a final mAP performance of 0.91978 with Bounding Box CutMix and 0.91149 with Standardized Distance-based IoU.