• The Transactions of the Korea Information Processing Society
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• v.5 no.1
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• pp.11-23
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• 1998

In very large databases, the problem of searching for interesting information effectively is very important in terms of efficiency and flexibility. A multiple layered database approach based on AOG(attribute-oriented generalization) method is one of the useful approaches for knowledge discovery under various situations. In this paper, we propose a multiple layered database design methodology based on AOG method in object-oriented databases. In addition, we propose a dynamic schema evolution model and implementation strategy in order to continue providing information effectively in multiple layered databases.

• Journal of KIISE:Information Networking
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• v.29 no.5
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• pp.562-572
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• 2002

Distributed object technologies have become popular in developing distributed systems. Although such middleware platforms as DSOM, DCOM, CORBA and Java RMI ease the development of distributed applications, they do not directly improve the reliability and the availability of these applications. Because the task of developing fault-tolerance techniques for distributed object paradigms is often complicated and error-prone, there is a great need for a development toolkit that enhances the reliability and the availability of distributed objects. In this paper, we propose a fault-tolerant distributed middleware system based on RMI, called IMMORTAL. We use a log-based rollback-recovery mechanism for supporting reliable distributed computing. Through a series of experiments, we observe that benchmark applications on the IMMORTAL tolerate hardware and software failures and evaluate its performance and scalability.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4290-4300
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• 2014

The previous HL7 interface should be developed as a separate package or conversion module for each version to process HL7 messages from different versions. This study designed and developed an HL7 parser compatible among different versions based on the requirements of compatibility defined in HL7 V2.5. According to the structure of the parser, the inheritance concept in object-oriented programming was adopted so that the class object of the HL7 message from the lower version could be inherited to the class object of the upper version. Therefore, every version's HL7 messages could be processed using only the upper class' object regardless of the version. To evaluate the compatibility of the developed parser, 700 data sets about inpatients with rheumatoid arthritis were used. The 700 cases underwent the compatibility test successfully. In the near future, further research on the Inter-compatibility HL7 parser is planned.

• The Journal of the Korea institute of electronic communication sciences
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• v.7 no.2
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• pp.439-445
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• 2012

IT convergence technology is gradually becoming anthropocentric and evolving based on the low-carbon green growth. Augmented reality technique is a contents convergence technology that can mix virtual objects while maintaining a sense of the real world. For that reason, interaction between user and system is possible, can make various applications, and has a high possibility for expandability. To expand the scope of existing interaction, this paper suggests contextual UX-based augmented reality system. It is a system which creates virtual objects that respond to the changes in the real world environment, and users can directly apply their personal preferences to virtual objects. Also, several virtual objects can be registered all at once, and even shows animations corresponding to either day and night according to the brightness of illumination. As said, it improves user's satisfaction through a system of mixed usability, and leads to a continuous use of augmented reality contents.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.368-371
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• 2007

본 논문에서는 분산 실시간 객체 모델인 TMO 엔진의 공식적인 배포와 지속적인 관리를 위하여 커널기반 TMO 모델 위에 UCIrvine의 TMO 표준 인터페이스에 맞추어 라이브러리를 설계하고 구현하였다. 표준 인터페이스의 제공을 위하여 개발된 라이브러리에서는 본 연구실에서 개발되었던 TMO-eCos의 기존 인터페이스 위에 채널 기반의 통신 API인 Gate, RMMC를 설계하였으며, 로컬 혹은 분산 IPC 메시지의 정시성을 보장하기 위해 제안된 ORT를 추가적으로 설계하고 구현하였다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10a
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• pp.6-8
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• 1999

컴퓨터 통신 기술의 급속한 발달로 인해 정지영상, 오디오, 비디오와 같은 다양한 미디어로 구성된 대용량의 멀티미디어 자료를 효율적으로 저장하고 관리할 수 있는 하부 저장 시스템이 필요하다. 이러한 멀티미디어 자료에 대한 내용-기반 검색을 위해 텍스트 기반 검색과 색상 또는 질감과 같은 특징 벡터에 기반한 검색이 이루어져야 한다. 본 논문에서는 멀티미디어 응용을 위한 하부저장 시스템을 구현하기 위해 미국 위스콘신 대학에서 개발한 지속성 객체 시스템인 SHORE를 확장하고자 한다. 텍스트 기반 검색을 위해 역화일 구조를 구현하였으며, 고차원의 특징 벡터의 검색을 위해 X-트리를 통합하였다.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.9
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• pp.411-418
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• 2016

Learning analytic has been utilized to helps us to successfully complete the course by using the interaction of the teacher and the learner data generated from the teaching and learning support system. In other words, Learning analytic is a method in order to understand the activities of learners. In the learning analytic, the data model is needed in order to utilize the more useful for teaching and learning activities data. Therefore, in this study, we propose a user centric data model of learning styles and learning objects. This model is expressed by aggregating of user learning style, learning objects, and learning activities. The proposed model is significant that laid the foundation for analyzing the activities of the learners in course units.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.103-123
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• 2006

Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.5
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• pp.479-493
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• 2016

LiDAR(Light Detection and Ranging) data acquired from ALS(Airborne Laser Scanner) has been intensively utilized to reconstruct object models. Especially, researches for 3D modeling from LiDAR data have been performed to establish high quality spatial information such as precise 3D city models and true orthoimages efficiently. To reconstruct object models from irregularly distributed LiDAR point clouds, sensor calibration, noise removal, filtering to separate objects from ground surfaces are required as pre-processing. Classification and segmentation based on geometric homogeneity of the features, grouping and representation of the segmented surfaces, topological analysis of the surface patches for modeling, and accuracy assessment are accompanied by modeling procedure. While many modeling methods are based on the segmentation process, this paper proposed to extract key points directly for building modeling without segmentation. The method was applied to simulated and real data sets with various roof shapes. The results demonstrate feasibility of the proposed method through the accuracy analysis.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.75-90
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• 2009

Improvement of productivity and efficient process management need to define the problem of the previous work. If it takes long time to gather necessary information, it becomes difficult to continuously manage processes to satisfy customers' needs and to enhance business efficiency. This paper proposes methods and a context awareness system for decision making to solve problems originated in management of manufacturing process through real-time information acquisition. We implement the context awareness by suggesting decision logics that automatically classify works with acquired information. And we also implement a system for case study which makes workers recognize problems and notifies instructions to them. Consistency between real object and stored data and continuous process monitoring with this system could find inefficient resources or delayed works, resolve them and improve processes efficiency.