• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.65-73
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• 2008

The telematics data management deals with queries on stream data coming from moving cars. So the stream DBMS should process the large amount of data stream in real-time. In this article, previous research projects are analyzed in the aspects of query processing. And a hybrid model is introduced where query preprocessor is used to process all types of queries in one singe system. Decreasing cost and rapidly increasing Performance of devices may guarantee the utmost parallelism of the hybrid system. As a result, various types of stream DBMS queries could be processed in a uniform and efficient way in a single system.

• The Journal of the Acoustical Society of Korea
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• v.41 no.3
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• pp.319-325
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• 2022

The variation of utterance lengths is a representative factor that can degrade the performance of speaker verification systems. To handle this issue, previous studies had attempted to extract speaker features from various branches or to use convolution layers with different receptive fields. Combining the advantages of the previous two approaches for variable-length input, this paper proposes integrated receptive field diversification that extracts speaker features through more diverse receptive field. The proposed method processes the input features by convolutional layers with different receptive fields at multiple time-axis branches, and extracts speaker embedding by dynamically aggregating the processed features according to the lengths of input utterances. The deep neural networks in this study were trained on the VoxCeleb2 dataset and tested on the VoxCeleb1 evaluation dataset that divided into 1 s, 2 s, 5 s, and full-length. Experimental results demonstrated that the proposed method reduces the equal error rate by 19.7 % compared to the baseline.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.12
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• pp.2707-2718
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• 2009

Enterprises saved and controled data using individual and various database which were occurred on business. The saved data that were existed in the database were approached by business processing for specified achievement of service's aims and were occurred frequently data migration. This research propose the data migration method using XMDR-DAI(eXtended Meta-Data Registry-Data and Integration) that were occurred by approaching and integration in the process of business processing based on sql query.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.2
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• pp.270-275
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• 2007

Motion capture technology is widely used for manufacturing animation since it produces high quality character motion similar to the actual motion of the human body. However, motion capture has a significant weakness due to the lack of an industry wide standard for archiving and retrieving motion capture data. In this paper, we propose a framework to integrate, store and retrieve heterogeneous motion capture data files effectively. We define a standard format for integrating different motion capture file formats. Our standard format is called MCML (Motion Capture Markup Language). It is a markup language based on XML (eXtensible Markup Language). The purpose of MCML is not only to facilitate the conversion or integration of different formats, but also to allow for greater reusability of motion capture data, through the construction of a motion database storing the MCML documents. We propose a fuzzy string searching method to retrieve certain MCML documents including strings approximately matched with keywords. The method can be used to retrieve desired series of frames included in MCML documents not entire MCML documents.

• Proceedings of the CALSEC Conference
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• 1998.10a
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• pp.197-213
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• 1998

이 연구에서는 ILS에 관한 개발 추세를 살펴보고, ILS의 정의, ILS와 관련된 표준들, ILS의 구성요소들, ILS관련 분석기법들에 대하여 정리한다. 군의 ILS 적용 현황과 문제점들을 살펴보고 ILS의 개념 개발과 민간기업들의 활용을 확대하기 위한 방안들을 요약한다. 이어서, ILS 구축을 위하여 광의의 제품수명주기를 바탕으로 물류의 흐름 및 지원 활동들을 분석 및 설계할 수 있는 객체지향 물류 프로세스 모델링을 제안하고 객체구조물들을 개발하였다. 제안된 모델링 기법의 구조물들을 활용하여 기업의 물류흐름과정과 물류지원과정을 모델링하는 예제를 보여준다. 끝으로 CALS 환경하에서의 기업간 ILS구축 과정을 제안하고, 기업간 통합물류과정 및 통합물류지원과정에 대한 간단한 모델을 제공한다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.547-552
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• 2008

여러 분야를 고려해야 하는 항공기나 자동차와 같은 대형기기의 설계에서 순차적 설계는 효과에 비하여 시간과 비용이 비효율적이며, 이러한 비효율성을 해결하기 위해 다분야 최적설계(MDO) 기법이 필요 하게 되었다. 비행체 설계는 시간이 지날수록 그 중요성이 커지고 있고, 설계 시 설계 전 분야를 통합하며 분석 할 수 있는 통합 환경이 요구되고 있다. MDO 기법을 이용한 비행체 설계는 이기종 분산 컴퓨팅 능력을 제공해야하고 각 분야의 데이터 공유를 통한 효율적 관리 및, 설계 최적화 도출을 제공하며 이기종의 환경을 고려해야 하므로, 분산 컴퓨팅 기술을 요구한다. 그리드 환경은 그리드 미들웨어를 중심으로 많은 분산 컴퓨팅 자원을 효율적으로 활용하고 다양한 분야의 문제들을 풀기 위한 고성능 환경을 제공하는 기술이다. 본 논문에서는 각 설계자원을 통합하기 위해 Globus toolkit ver.4(GT4)를 그리드 미들웨어로 사용하였고, 이들을 쉽고 효율적으로 이용하기 위한 PSE포탈을 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3661-3666
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• 2015

The paper describes the integrated design system using MDO and approximation technique. In MDO related research, final target is an integrated and automated MDO framework systems. However, in order to construct the integrated design system, the prerequisite condition is how much save computational cost because of iterative process in optimization design and lots of data information in CAD/CAE integration. Therefore, this paper presents that an efficient approximation method, Adaptive approximation, is a competent strategy via MDO framework systems.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.10a
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• pp.1-3
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• 2010

수중 무인항체(Autonomous Underwater Vehicle, AUV)를 고정밀, 고위험 임무수행 분야에 이용하기 위해서는 연속적이고 정확한 항법정보를 제공하는 기술이 반드시 필요하다. 특히, 최근에는 항공분야에서 국내외적으로 연속적이고 정확한 항법정보를 제공하기 위하여 여러 가지 센서를 결합한 통합 항법시스템에 관한 연구가 활발하며, GPS나 음향장치를 관성센서와 통합하는 방법이 대표적이다. 하지만 수중 무인항체에 경우는 해수면 노출로 인한 탐사시간 장기화와 음향장치 설치 및 회수의 한계로 인하여 GPS나 음향장치 이외에 센서를 이용한 통합 항법시스템의 필요성이 커지고 있다. 본 논문에서는 자율성이 높으면서, 적은 비용으로 설치가 가능한 영상센서를 이용하여 항법성능을 효과적으로 증대시키는 Vision/INS 통합 항법을 제안한다. 제안한 통합 항법알고리즘은 외부표정요소 직접결정기법을 이용하여 영상 데이터로부터 항체의 위치와 자세를 추정하고, 추정된 결과를 INS의 추정치와 비교한다. 그리고 추정한 위치와 자세오차를 입력으로 칼만필터를 구동하도록 설계하였다. 모의실험을 통해 제안한 방법의 유효성을 확인하였다.

• Journal of KIISE:Databases
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• v.36 no.4
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• pp.247-253
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• 2009

Rank learning and processing have gained much attention in the IR and data mining communities for the last decade. While other data mining techniques such as classification and regression have been actively researched to interoperate with RDBMS by using the tightly coupled or loose coupling approaches, ranking has been researched independently without integrating into RDBMS. This paper proposes a tightly coupled integration of the Ranking SVM into MySQL in order to perform the rank learning task efficiently within the RDBMS. We implemented new SQL commands for learning ranking functions and predicting ranking scores. We evaluated our tightly coupled integration of Ranking SVM by comparing it to a loose coupling implementation. The experiment results show that our approach has a performance improvement of $10{\sim}40%$ in the training phase and 60% in the prediction phase.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.189-201
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• 2011

In this paper, we design an ontology which provides interoperability by integrating typical metadata specifications and defines concepts and semantic relations between concepts that are used to describe metadata for learning objects in university courses. And we organize a hierarchical structured e-Learning system for efficient retrieval of learning objects on many local storages that use different specifications to describe metadata and propose a query processing method based on inferences. The proposed e-Learning system can provide more accurate and satisfactory retrieval service by using the designed ontology because both learning objects that be directly connected to user queries and deduced learning objects that be semantically connected to them are retrieved.