• Proceedings of the Korea Information Processing Society Conference
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• 2006.11a
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• pp.381-384
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• 2006

센서 네트워크 환경에서 스트림 데이터를 모니터링 하기 위해서는 스트림 데이터에 대한 연속적인 질의들을 효과적으로 처리하는 것이 필요하다. 이러한 연속적인 질의를 빠르게 검색하고 처리하기 위하여 낮은 저장 비용과 빠른 탐색 성능을 가진 질의 색인 기법이 많이 활용되고 있다. 기존 연구들은 사전에 삽입될 Interval 을 알고 트리를 구성하므로 동적인 삽입, 삭제가 불가능하거나 삽입된 Interval 수와 Interval 의 범위에 따라 높은 저장 비용이나 상대적으로 느린 탐색 속도를 보인다. 따라서 이 논문에서는 연속적인 질의 처리를 효율적으로 하기 위하여 Hashed Multiple Lists 를 제안한다. 제안된 기법은 빠른 선형 탐색 성능과 낮은 저장 비용을 요구하며 삽입, 삭제가 용이하고 다양한 범위를 표현할 수 있는 장점이 있다. 제안된 색인 기법은 센서 네트워크를 응용한 시스템과 상황 인식 시스템 등에서 연속적인 질의를 처리하는데 활용할 수 있다.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.39-42
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• 2000

A bootstrap and aggregating (bagging) vector quantization (VQ) classifier is proposed for speaker recognition. This method obtains multiple training data sets by resampling the original training data set, and then integrates the corresponding multiple classifiers into a single classifier. Experiments involving a closed set, text-independent and speaker identification system are carried out using the TIMIT database. The proposed bagging VQ classifier shows considerably improved performance over the conventional VQ classifier.

• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.256-263
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• 1998

In this paper, we propose a volume holographic fingerprint recognition system based on optical correlator for personal identification. Optical correlator has high speed and parallel processing characteristics of optics. Matched filters are recorded into a volume hologram that can store data with high density, transfer them with high speed, and select a randomly chosen data element. The multiple reference images of database are prerecorded in a photorefractive crystal in the form of Fourier transform images, simply by passing the image displayed in a spatial light modulator through a Fourier transform lens. The angular multiplexing method for multiple holograms of database can be achieved by rotating the crystal by use of a step motor. Experimental results show that the proposed system can be used for the security verification system.

• Korean Journal of Computational Design and Engineering
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• v.7 no.1
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• pp.66-73
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• 2002

The purpose of this study is to propose a new process model for architects and suppliers in AEC(Architectural, Engineering and Construction) industry, which comes from its utilization of a distributed database. Information used by participants of this process is not held in one singular application sewer, but in tile databases of multiple participants. This study addresses the problem of coping with dynamic information changes that architects face when designing with increasingly time-sensitive product information from multiple suppliers. It also describes the new distributed architecture for design representation, and outlines a corresponding process model to address the needs architectural designers during design and procurement phases. The feasibility of the process was tested in a prototype system that combines existing technologies, which allows for an objects transfer from the Web to the CAD application.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.31-33
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• 2007

Devising an efficient one-pass frequent pattern mining algorithm has been an issue in data mining research in recent past. Pattern growth algorithms like FP-Growth which are found more efficient than candidate generation and test algorithms still require two database scans. Moreover, FP-growth approach requires rebuilding the base-tree while mining with different support counts. In this paper we propose an item-based tree, called I-Tree that not only efficiently mines frequent patterns with single database scan but also provides multiple mining scopes with multiple support thresholds. The 'build-once-mine-many' property of I-Tree allows it to construct the tree only once and perform mining operation several times with the variation of support count values.

• Proceedings of the KSPS conference
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• 2003.10a
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• pp.3-16
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• 2003

ㆍAcoustic characteristics of stops in speech with contextual variability ㆍPosibility of stop recognition by post processing technique ㆍFurther work - Speech database - Modification of decoder - automatic segmentation of acoustic parameters

• Journal of the Korean Society for information Management
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• v.5 no.1
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• pp.79-103
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• 1988

ETLARS- I1 system is a Hangeul information retrieval system, which can operate multiple bibliographic databases and process 2 byte Hangeul data as well as 1 byte English data. This paper describes the design of database structure and the implementation of online retrieval program.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.1007-1010
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• 1999

This paper describes the recognition of totally unconstrained handwritten numerals using neural networks. Neural networks with multiple output nodes have been successfully used to classify complex handwritten numerals. The recognition system consists of the preprocessing stage to extract features using Kirsch mask and the classification stage to recognize the numerals using the fully-connected recurrent neural networks (RNN). Simulation results with the numeral database of Concordia university, Montreal, Canada, are presented. The recognition system proposed in this paper outperforms other recognition systems reported on the same database.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.30 no.9
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• pp.602-608
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• 2017

Due to recent industry 4.0, manufacturing has changed a lot. In particular, it is necessary to control the controller and controller of the control system, to communicate various production information and measurement information, and to produce a database in accordance with the flexible production for a small quantity of various items, and to manage the trend of major parts of production facilities. In this paper, we developed a multiple wireless communication controller for small scale control system for smart factory by applying XBee and microcomputer. This controller is cheap and easy to build multi-radio communication environment of 1: N and can control and monitor control system. In addition, we tested multiple wireless communication controllers by using signal processing device and C++, and constructed network, control, and database for mechanism module, and confirmed effectiveness for industrial application.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.10
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• pp.1044-1049
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• 2006

Multiple sequence alignment is a method to compare two or more DNA or protein sequences. Most of multiple sequence alignment tools rely on pairwise alignment and Smith-Waterman algorithm to generate an alignment hierarchy. Therefore, in the existing multiple alignment method as the number of sequences increases, the runtime increases exponentially. In order to remedy this problem, we adopted a parallel processing suffix tree algorithm that is able to search for common subsequences at one time without pairwise alignment. Also, the cross-matching subsequences triggering inexact-matching among the searched common subsequences might be produced. So, the cross-matching masking process was suggested in this paper. To identify the function of the clusters generated by suffix tree clustering, BLAST and CDD (Conserved Domain Database)search were combined with a clustering tool. Our clustering and annotating tool consists of constructing suffix tree, overlapping common subsequences, clustering gene sequences and annotating gene clusters by BLAST and CDD search. The system was successfully evaluated with 36 gene sequences in the pentose phosphate pathway, clustering 10 clusters, finding out representative common subsequences, and finally identifying functional domains by searching CDD database.