• Journal of Korea Multimedia Society
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• v.6 no.2
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• pp.183-193
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• 2003

The importance of XML data and their database supports in a mobile terminal system is on the increase. It leads to active research for embedded XML database systems. In order to handle in documents, DOM API should be supported. The existing DOM API is not suitable for the embedded system with limited resource because the DOM tree requires a large space on main memory. Considering poor resource of embedded systems, we present persistent DOM which is implemented on Berkeley DB and DOMdbm which manages it.

• Digital Contents
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• no.9 s.136
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• pp.61-67
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• 2004

한국데이터베이스진흥센터가 주관하는 2004년 제1차 공공기관 우수 데이터베이스(DB) 시상식이 지난달 20일 한국관광공사빌딩 지하 강당에서 개최됐다. 지난해 통계∙기상∙기업∙법률∙특허 등 5개 분야 DB 10종을 우수DB로 선정한 한국데이터베이스진흥센터는 올해 공공기관 DB를 대상으로 우수DB 6종을 선정했다. 이번에 선정된 공공기관 우수DB 6종은 재정경제부, 문화관광부, 산업자원부, 건설교통부와 산하 공 공기관에서 운영하고 있는 데이터베이스 가운데 건설교통, 경제산업, 문화예술 등 3개 분야에서 품질이 우수한 각 2종씩의 DB가 선정됐다. 건설∙교통 분야에서는 한국도로공사의‘로드플러스’와 건설교통부의‘건설교통종합정보센터’가 선정됐고, 경제∙산업 분야에서는 조달청의‘나라장터’와 한국은행의‘경제통계시스템’, 문화∙예술 분야에서는 한국관광공사의‘Visit Korea’와 문화재청의‘국가문화유산종합정보서비스’가 선정됐다. 한국데이터베이스진흥센터는 올 11월경 정보통신, 교육학술, 과학기술분야를 대상으로 제2차 우수 DB를 선정할 계획이며, 자세한 내용은 데이터베이스품질평가센터(www.dbq.or.kr)에서 소개하고 있다.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.4
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• pp.227-236
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• 2007

Ubiquitous systems have grown explosively over the few years. Nowadays users' needs for high qualify service lead a various type of user terminals. One of various type of user interface, various types of effective human computer interface methods have been developed. In many researches, researchers have focused on using brain-wave interface, that is to say, BCI. Nowadays, researches which are related to BCI are under way to find out effective methods. But, most researches which are related to BCI are not centralized and not systematic. These problems brought about ineffective results of researches. In most researches related in HCI, that is to say - pattern recognition, the most important foundation of the research is to build correct and sufficient DB. But there is no effective and reliable standard research conditions when researchers are gathering brain-wave in BCI. Subjects as well as researchers do not know effective methods for gathering DB. Researchers do not know how to instruct subjects and subjects also do not know how to follow researchers' instruction. To solve these kinds of problems, we propose effective brain-wave DB building system using the five senses stimulation. Researcher instructs the subject to use the five senses. Subjects imagine the instructed senses. It is also possible for researchers to distinguish whether brain-wave is right or not. In real time, researches verify gathered brain-wane data using spectrogram. To verify effectiveness of our proposed system, we analyze the spectrogram of gathered brain-wave DB and pattern. On the basis of spectrogram and pattern analysis, we propose an effective brain-wave DB building method using the five senses stimulation.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2002.06a
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• pp.83-84
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• 2002

• Bioinformatics and Biosystems
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• v.1 no.2
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• pp.99-102
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• 2006

The Basic Local Alignment Search Tool (BLAST) is one of the most established software in bioinformatics research and it compares a query sequence against the libraries of known sequences in order to investigate sequence similarity. Expressed Sequence Tags (ESTs) are single-pass sequence reads from mRNA (or cDNA) and represent the expression for a given cDNA library and the snapshot of genes expressed in a given tissue and/or at a given developmental stage. Therefore, ESTs can be very valuable information for functional genomics and bioinformatics researches. Although major bio database (DB) websites including NCBI are providing BLAST services and EST data, local DB and search system is demanding for better performance and security issue. Here we present animal EST DBs and local BLAST search system. The animal ESTs DB in NCBI Genbank were divided by animal species using the Perl script we developed. and we also built the new extended DB search systems fur the new data (Local Animal BLAST Search System: http://bioinfo.kohost.net), which was constructed on the high-capacity PC Cluster system fur the best performance. The new local DB contains 650,046 sequences for Bos taurus(cattle), 368,120 sequences for Sus scrofa (pig), 693,005 sequences for Gallus gallus (fowl), respectively.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.83-91
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• 2011

The roadmap DB update for unknown roads is a very important factor for car navigation systems. In this paper, we propose a cloud computing based roadmap generation method for use between heterogeneous navigation system for unknown roads. While the drivers drive on unknown roads, the proposed method extracts the road attribute information, and then generates the metadata in an XML format that is available for the heterogeneous navigation systems in a cloud environment. The metadata is proposed to be used as a replacement for conventional proprietary roadmap formats which used by roadmap providers, which is efficient for heterogeneous navigation system providers in a cloud computing environment. Then, this metadata is provided to the roadmap DB providers through the cloud computing interfaces. With the proposed method, the roadmap DB providers update the own roadmap DB for navigation systems in real time. Therefore, the proposed method can reduce the costs of an actual traveling test and the maintenance for the roadmap DB provides. Thus, the cloud-oriented road map generation method can more efficiently update the unknown road information.

• Journal of the Korean GEO-environmental Society
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• v.15 no.9
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• pp.77-85
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• 2014

Recently, the National Emergency Management Agency of Korea has been operating the National Disaster Management System. Nevertheless, there are numerous difficulties in systematic controlling the steep slope DB promptly, because the system's functions in input and control for steep slope information are merely simple. Futhermore, the hazard degrees of steep slope lands nowadays have risen suddenly in accordance with the increase rate of large scale landslides such as the landslide cases of Umyeonmountain, Chuncheon province and others or sever rain storm cases. these lead to rapid increases in frequencies of nature disasters nationally. therefore, it is needed to develop the GIS-based integrated management system for steep slope information in order to manage disasters in advance or high-degree control. This study shows the national GIS-based integrated management system to prevent the disasters that caused by steep slope lands. The integrated management system developed in this study consists of surface information input modules, realtime DB liaison modules of integrated underground information, V-world background map-based GIS, integrated management system for steep slope information user modules, realtime liaison interface modules designed for utilizing steep slope information. Also, tests about stability of data storage, system stability and consistency of processing speed were performed.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.311-322
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• 2014

IoT(Internet of Things) is a concept of connected internet pursuing direct access to devices or sensors in fused environment of personal, industrial and public area. In IoT environment, it is possible to access realtime data, and the data format and topology of devices are diverse. Also, there are bidirectional communications between users and devices to control actuators in IoT. In this point, IoT is different from the conventional internet in which data are produced by human desktops and gathered in server systems by way of one-sided simple internet communications. For the cloud or portal service of IoT, there should be a file management framework supporting systematic naming service and unified data access interface encompassing the variety of IoT things. This paper implements a DB-based virtual file system maintaining attributes of IoT things in a UNIX-styled file system view. Users who logged in the virtual shell are able to explore IoT things by navigating the virtual file system, and able to access IoT things directly via UNIX-styled file I O APIs. The implemented virtual file system is lightweight and flexible because it maintains only directory structure and descriptors for the distributed IoT things. The result of a test for the virtual shell primitives such as mkdir() or chdir() shows the smooth functionality of the virtual file system, Also, the exploring performance of the file system is better than that of Window file system in case of adopting a simple directory cache mechanism.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.179-182
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• 2006

WSN에서 위치를 구하는 방법으로 WLSQ와 DB를 이용하는 방법이 대표적이다. WLSQ에서는 수신된 RSSI로부터 거리를 구하고 구해진 거리를 이용하여 위치를 구하며, 구해진 위치의 정확도는 측정된 RSSI의 정확도와 이로부터 거리를 구하는 알고리즘에 좌우된다. DB를 이용하는 기법은 DB를 구축하는 방법과 측정된 RSSI와 DB를 비교하는 기법에 따라 정확도가 결정된다. 본 논문에서는 수신된 RSSI와 DB를 비교하여 위치를 구하는 기법의 구현 및 성능을 나타내었으며, WLSQ의 결과와 비교하였다.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.95-98
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• 2000

음성 인식 시스템의 개발을 위해서는 음성 데이터베이스 구축이 중요한 과제의 하나로써, 많은 시간과 노력이 요구된다. 본 논문은 ARS 주식거래 시스템에서 사용되는 주식의 매수, 매도, 증시 현황에 관련된 문장과 숫자음에 대하여 DB 구축한다. 이 DB 구축을 위하여 Dialogic 사의 D/41ESC보드를 장착하고, Window NT4.0 플렛폼에서 음성을 수집하였다. 본 논문에서는 음성 수집을 위해 전국의 20대에서 50대까지의 남녀에 대해 1명당 50개의 문장 또는 숫자음에 대하여, 유선 및 무선을 통하여 데이터를 수집하였다. 또한 화자 독립 음성 인식을 위하여 1200명의 화자로 구성되어 있다. 지역별로 보면, 서울 및 경기, 강원 지역과 영호남, 충청 지역으로 나누었으며, 일반폰, 휴대폰, 공중전화의 환경에서, 그리고 실내와 실외환경에서 각각 수집하였다.