• Proceedings of the Computational Structural Engineering Institute Conference
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• 2008.04a
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• pp.518-523
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• 2008

In this study, we analyzed applicability of object database, designed the concept model based on object-oriented idea for measurement data management, and applied the design model to object database. The concept model composes three sub models Infrastructure managing information model, Infrastructure measurement data model, and Measurement unit model. The process to expand measurement data of new type was executed easily without changing database schema in object database. The process to expand measurement data of new type was executed easily without changing database schema in object database. Therefore, applicability of new technology to infrastructures for building a safety management network of road bridges could be increased with object database system.

• Asia pacific journal of information systems
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• v.9 no.1
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• pp.115-142
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• 1999

Legacy applications are valuable assets that should be integrated into next generation business systems. To gain this advantage, progressive companies can reverse engineer the legacy business operations. This paper presents a form-driven object-oriented reverse engineering(FORE) methodology by the use of business forms to recover semantics of legacy applications. They retain the user-oriented contents of business and thus are easily understandable. Our form driven object-oriented reverse engineering methodology consists of five phases: form and usage analysis, form object slicing, object structure modeling, scenario design, and model integration. Knowledge about form structure and user interaction with legacy applications is used to capture the design semantics. An object model, which consists of an object structure model and scenario results from such form knowledge. The resulting object model is more likely to help reverse engineers understand and reuse legacy systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.1
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• pp.133-139
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• 2002

For efficiently providing distributed services, distributed computing environments are specified the requirements of various services and distributed object platforms applied an object-oriented technology by TINA Consortium and OMG CORBA. Because applications are becoming large and distributing, their servicing and managing interfaces among objects are being complicated. In order to solve these defects, it is necessary to suggest a new object grouping model and specify object service/management requirements can be introduced under the object groups.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.35-43
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• 2001

Imposing electromagnetic field using transmitter of buried metal object in skill that detect underground object sensing person atonement in being widowed on the land being magnetized upside numerical value of buried metal object searching way used most widely current by skill be. This paper proposed about mode and detection system of underground object that sense the changed magnetic and judge real radish buried metal object sign of the cook because this treatise forms magnetic in land and design and composition of display device. Also, through simulation of detection system of underground object, showed that can measure radish judgment sign of the cock of underground object

• Journal of Distribution Science
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• v.15 no.6
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• pp.57-64
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• 2017

Purpose - The purpose of this study is to investigate the effect of brand message type on the object relevance between consumers and brands and to identify the mediation role of the object relevance in the effect of the message type on brand attitude. Research design, data, and methodology - Types of pride are classified into hubristic pride and authentic pride, and brand message types are divided into ability message and warmth message. Restaurant brand was selected by empirical study, and the experiment was performed with 2 (pride type: hubristic versus authentic) × 2 (message type: ability message versus warmth message) between-subjects design. The subjects of the experiment consisted of the undergraduates taking courses related to marketing. A preliminary step was taken to explore the difference in the perceived level of object relevance induced from each type of message between the consumer group that felt hubristic pride and the other group that felt authentic pride. This study analyzed the mediating role of the object relevance in the effects of the message type on brand attitude by means of Bootstrap method for each of the pride groups. Results - The results from the empirical analysis are summed up as follows. Regardless of pride types they felt in advance, consumers perceived their object relevance to be higher in the warmth information message than in the ability information message, and object relevance was analyzed to have a positive effect on brand attitude. It was analyzed that, regardless of pride types, object relevance played full mediation roles in the effect of warmth information versus ability information message on brand attitude. Conclusions - Based on the results, it may be suggested that marketers of a brand should endeavor to develop a warmth information message rather than a ability information message to prompt consumers to perceive the object relevance between their own brands and consumers, regardless of pride types, as long as a consumer feels pride in advance. In order to increase the consumers' attitude toward their brand, the brand marketers are solicited to check the object relevance between their brand and consumers, then, seek for the managerial ways to promote such object relevance.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1999.06a
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• pp.165.1-170
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• 1999

Object segmentation fro natural video scenes has recently become one of very active research to pics due to the object-based video coding standard MPEG-4. Object detection and isolation is also useful for object-based indexing and search of video content, which is a goal of the emerging new standard, MPEG-7. In this paper, an automatic segmentation method of moving objects in image sequence is presented which is applicable to multimedia content authoring for MPEG-4, and two different segmentation approaches suitable for surveillance applications are addressed in raw data domain and compressed bitstream domains. We also propose an object-based video description scheme based on object segmentation for video indexing purposes.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.4
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• pp.449-456
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• 1999

본 논문은 C++에 분산 객체 프로그래밍 기능을 추가한 D++ 언어를 제안한다. 대등관계 복제객체 모델을 지원하는 D++는 분산 클래스의 정의, 멤버 함수의 일치성 제어 정의 기능, 그리고 영구 객체 이름에 기반한 분산 객체를 정의할 수 있는 언어 구조를 제공한다. D++ 프로그램에서 새로이 생성되는 분산 객체는 생성 시에 제공되는 객체의 영구 이름과 동일한 영구 이름을 갖는 분산 객체가 존재할 경우 해당 객체들과 복제 관계를 유지함으로써 정보를 공유한다. 각 복제 객체들은 서로 간에 대등한 관계를 가지며, 멤버 함수 정의 시에 기술되는 특성에 따라 일치성이 유지된다. 이 같은 D++의 분산 객체 모델은 실시간 그룹웨어의 기본 요구 사항인 분산 환경에서의 정보 공유 및 사건 공지 기능을 자연스럽게 해결해 주기 때문에 실시간 그룹웨어의 개발을 효율적으로 지원할 수 있을 것으로 기대한다. Abstract This paper proposes D++ programming language that is an extension of C++ for distributed object oriented programming. The D++, which supports peer-to-peer object model, provides new language constructs for the definition of distributed classes, the definition of the consistency control of the member function and the definition of distributed object variables with the persistent name. In D++, when the persistent name of a newly created distributed object is same as that of an existing distributed object, the new distributed object replicates object state of the existing distributed object and thus they share the object state. The replicas have peer relation and the consistency among them is maintained according to the characteristic described on the definition of designated member functions. It is expected that D++ language increases efficiency in development of real-time groupware because the distributed object model of D++ naturally supports the information sharing and event notification that are the basic functions required when building real-time groupware.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.6
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• pp.88-94
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• 2009

This paper proposes real time object detection and tracking algorithm that can be applied to security and supervisory system field. A proposed system is devide into object detection phase and object tracking phase. In object detection, we suggest Adaptive background subtraction method and Adaptive block based model which are advanced motion detecting methods to detect exact object motions. In object tracking, we design a multiple vehicle tracking system based on Kalman filtering. As a result of experiment, motion of moving object can be estimated. the result of tracking multipul object was not lost and object was tracked correctly. Also, we obtained improved result from long range detection and tracking.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.2
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• pp.118-123
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• 2011

Video based object tracking normally deals with non-stationary image streams that change over time. Robust and real time moving object tracking is considered to be a problematic issue in computer vision. Multiple object tracking has many practical applications in scene analysis for automated surveillance. In this paper, we introduce a specified object tracking based particle filter used in an environment of multiple moving objects. A differential image region based tracking method for the detection of multiple moving objects is used. In order to ensure accurate object detection in an unconstrained environment, a background image update method is used. In addition, there exist problems in tracking a particular object through a video sequence, which cannot rely only on image processing techniques. For this, a probabilistic framework is used. Our proposed particle filter has been proved to be robust in dealing with nonlinear and non-Gaussian problems. The particle filter provides a robust object tracking framework under ambiguity conditions and greatly improves the estimation accuracy for complicated tracking problems.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.33-43
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• 2020

Retrieving a 3D model from a 3D database and augmenting the retrieved model in the Augmented Reality system simultaneously became an issue in developing the plausible AR environments in a convenient fashion. It is considered that the sketch-based 3D object retrieval is an intuitive way for searching 3D objects based on human-drawn sketches as query. In this paper, we propose a novel deep learning based approach of retrieving a sketch-based 3D object as for an Augmented Reality Model. For this work, we introduce a new method which uses Sketch CNN, Wasserstein CNN and Wasserstein center loss for retrieving a sketch-based 3D object. Especially, Wasserstein center loss is used for learning the center of each object category and reducing the Wasserstein distance between center and features of the same category. The proposed 3D object retrieval and augmentation consist of three major steps as follows. Firstly, Wasserstein CNN extracts 2D images taken from various directions of 3D object using CNN, and extracts features of 3D data by computing the Wasserstein barycenters of features of each image. Secondly, the features of the sketch are extracted using a separate Sketch CNN. Finally, we adopt sketch-based object matching method to localize the natural marker of the images to register a 3D virtual object in AR system. Using the detected marker, the retrieved 3D virtual object is augmented in AR system automatically. By the experiments, we prove that the proposed method is efficiency for retrieving and augmenting objects.