• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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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.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.5
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• pp.416-428
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• 2001

In order to build a news archive system. the news video stream should be first segmented into several articles, ad their contents are abstracted effectively. This abstraction helps the users to understand the contents of the article without playing the whole video stream. This paper proposes a new article boundary detection scheme for the news video streams together with a new news article abstraction scheme using the shot types of the news video data. The shots in the news video are classified into anchor person shots, interview shots, speech shots, reporting shots, graphic shots, and others. Since the news article starts with an anchor shot whose duration is relatively longer than other shots with special screen structure, the article boundary in detected by the computing the length of the shot and checking the screen structure in the proposed scheme. For the effective abstraction of the article video, the graphic image located in the right-top of the anchor shot frames is primarily used in the proposed abstraction scheme since it is the abstraction of the article made by the producer of the news according to its contents so that it contains a lot of meaningful information. The key frames of the other shots except interview and report shots are also used to abstract the contents of the articles in the proposed scheme. Upon experimental results, the precision and recall values of the proposed article boundary detection scheme could be 92% and 96%, respectively. This paper also presents a design and implementation of a prototype news archive system on WWW that consists of an indexing tool, an authoring tool, a database for meta-data of the news, and a browsing tool.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.

• Journal of Korea Multimedia Society
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• v.23 no.3
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• pp.440-446
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• 2020

The application field of smart terminals is increasing and its application is also spreading in the defense field. The use of smart terminal based map application is very important in battle fields. The problem is that the communication infrastructure is easy to collapse and the use of GPS is usually disturbed. In this paper, we studied the maps stored in the QR tag at the battle field. The problem is to abstract the map information so that it can be stored in the small QR tag. We have abstracted path information on a vector basis and require only a small amount of data compared to imaged path information. We analyzed the amount of data generated by the abstraction and mathematically analyzed the boundary where the amount does not exceed the capacity limit of the QR tag. Our research can be applied not only to battlefields, but also to disaster / disaster scenes, or in environments with difficult Internet communications, such as mountainous areas.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.99-115
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• 2003

In this paper, we present a knowledge-based object-oriented spatial database system called KOBOS. A knowledge-based approach is introduced to the object-oriented spatial database system for data modeling and approximate query answering. For handling the structure of spatial objects and the approximate spatial operators, we propose three levels of object-oriented data model: (1) a spatial shape model; (2) a spatial object model; (3) an internal description model. We use spatial type abstraction hierarchies(STAHs) to provide the range of the approximate spatial operators. We then propose SOQL, a spatial object-oriented query language. SOQL provides an integrated mechanism for the graphical display of spatial objects and the retrieval of spatial and aspatial objects. To support an efficient hybrid query evaluation, we use the top-down spatial query processing method.

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.61-72
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• 2006

Ubiquitous computing technologies become mature enough to be applied in acceptable ubiquitous services. In particular, in u-shopping area, personalized recommender systems which automatically collect the nomadic user-related context data and then provide them with products or shops in a flexible manner. However, legacy cooperative queries and context-aware queries so far do not come up with dynamically changing situations and ambiguous query commands, respectively. Hence, The purpose of this paper is to propose a personalized context-aware cooperative query that supports a multi-level data abstraction hierarchy and conceptual distance metric among node instances, while considering the user's context data. To show the feasibility of the methodology proposed in this paper, we have implemented a prototype system, CACO, in the area of site search in a large-scale shopping mall.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.82-84
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• 2001

데이터 분류(classification)란 이미 분류된 객체집단군 즉, 학습 데이터에 대한 분석을 바탕으로 아직 분류되지 않는 개체의 소속 집단을 결정하는 작업이다. 현재까지 제안된 여러 가지 분류 모델 중 결정 트리(decision tree)는 인간이 이해하기 쉬운 형태를 갖고 있기 때문에 탐사적인 데이터 마이닝(exploatory)작업에 특히 유용하다. 본 논문에서는 결정 트리 분류에 다중 추상화 수준 문제(multiple abstraction level problem)를 소개하고 이러한 문제를 다루기 위한 실용적인 방법을 제안한다. 데이터의 다중 추상화 수준 문제를 해결하기 위해 추상화 수준을 강제로 같게 하는 것이 문제를 해결할 수 없다는 것을 보인 후, 데이터 값들 사이의 일반화, 세분화 관련성을 그대로 유지하면서 존재하는 유용화할 수 있는 방법을 제시한다.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.6
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• pp.1-10
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• 1997

By considering low power design at higher levels of abstraction rather than at lower levels of abstraction, we can apply various transformation techniques to a system design with wider view and obtain much more effective power reduction with less cost and effort. In this paper, a transformation technique, called power - conscious loop folding is proposed for high level synthesis of a low power system.Our work is focused on reducing the power consumed by functional units in adata path dominated circuit through the decrease of switching activity. Te transformation algorithm has been implemented and integrated into HYPER, a high level synthesis system for experiments. In our experiments, we could achieve a pwoer reduction of up to 50% for data path dominated circuits.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.206-213
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• 2003

Application of existing decision tree algorithms for Internet retail customer classification is apt to construct a bushy tree due to imprecise source data. Even excessive analysis may not guarantee the effectiveness of the business although the results are derived from fully detailed segments. Thus, it is necessary to determine the appropriate number of segments with a certain level of abstraction. In this study, we developed a stopping rule that considers the total amount of information gained while generating a rule tree. In addition to forwarding from root to intermediate nodes with a certain level of abstraction, the decision tree is investigated by the backtracking pruning method with misclassification loss information.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.6
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• pp.8-18
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• 2010

As Ubiquitous systems are developed, the number of context data which are dealt with systems also grow rapidly. In these data, some are vary important in privacy view. As these data are given to users or services of systems, probability of excess exposing of data is exist. To solve this problem, many systems use access control method like RBAC. But even this method can avoid unauthenticated access, can not prevent excess exposing of authenticated access. To prevent this exposing of context data, this paper suggests context data access control framework which abstracts context data when system gives these data to users or services. Using negotiation protocol and context data abstraction technique using RDF, our framework prevents excess exposing important data. This happens protecting privacy and keeping service continuity.