• 제목/요약/키워드: multi database system

검색결과 318건 처리시간 0.026초

XML 데이타 관리시스템과 유전체 데이타베이스에의 응용 (An XML Data Management System and Its Application to Genome Databases)

  • 이경희;김태경;김선신;이충세;조완섭
    • 한국정보과학회논문지:데이타베이스
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    • 제31권4호
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    • pp.432-443
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    • 2004
  • 최근 들어 XML의 급속한 확산으로 인해 DBMS를 이용한 XML 데이타 관리의 필요성이 높아지고 있다. 기존의 DBMS를 이용한 XML 저장 및 검색에 관한 연구들은 편의성 측면이나 성능 측면에서 아직 해결할 문제점을 가지고 있다. 특히, 관계 DBMS를 이용하는 경우 복잡한 XML 문서를 간단한 테이블 형태로 변환하는 데이타 모델 변환과 그에 따른 질의 변환의 복잡성이 문제점으로 지적되고 있다. 본 논문에서는 UniSQL ORDBMS를 이용한 DTD 의존적 데이타 관리 시스템인 Xing을 제안한다. Xing 시스템에서는 ORDBMS의 객체 참조와 다중값 속성을 이용하므로 XML 데이타를 객체 모델로 매핑하는 것이 간단하다. 또한, DTD 의존적인 객체 스키마를 생성하므로 XML 저장 알고리즘이 간단하고, 검색을 위한 질의 변환도 용이하다. 특히, Xing에서는 SAX 파서를 이용하여 메모리 부하가 적은 고유의 Xing 트리를 생성하므로 대량의 XML 데이타를 빠르게 저장할 수 있다. 그리고, 질의결과를 XML 형태로 반환함으로써 완전한 XML 데이타 관리시스템으로 사용할 수 있다. GenBank의 유전체 XML 데이타에 대하여 Xing을 이용한 저장과 관계 데이터베이스로 저장한 경우에 검색성능을 비교한 결과 제안한 시스템이 최고 10배까지 좋은 성능을 보였다.

다중 노드 네트워크를 이용한 내공변위 계측 시스템 (Design of Inner Section Displacement Measurement System Using Multiple Node Networks)

  • 서석훈;우광준
    • 조명전기설비학회논문지
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    • 제15권6호
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    • pp.20-26
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    • 2001
  • 본 논문에서는 터널의 내공변위를 측정하고 측정된 데이터를 효율적으로 관리하는 계측 시스템을 설계하였다. 계측 시스템은 마이크로콘트롤러로와 포텐시오메터형 변위센서로 구성되는 Intelligent Sensing Head와 계측 시스템을 운용하고 측정된 데이터를 관리하는 호스트 컴퓨터로 구성된다. Intelligent Sensing Mead와 호스트 컴퓨터는 다중노드 통신방식에 의하여 연결되며 다중노드 네트워크의 안정된 동작을 위하여 Daisy-Chain 형태로 네트워크를 구성하였고 Fail-Safe 회로를 설계하였으며 Modbus 프로토콜을 사용하여 시스템의 범용성을 높였다. 호스트 컴퓨터는 종합관리 소프트웨어에 의하여 다양한 측정조건을 선택할 수 있으며 데이터베이스를 이용하여 측정된 데이터를 관리한다. 설계된 시스템은 터널에 설치되어 효용성을 확인하였다.

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저수관리 시스템 개발 (Development of Re8ervoirs Storage Management System(RESTOMS))

  • 김현영;황철상;정건배;정종호유
    • 한국농공학회지
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    • 제35권2호
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    • pp.65-72
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    • 1993
  • When a drought occurs in an area irrigated by multi-reservoirs, onerating a single reservoir separately to control the reservoir' storage is not a desirable solution. In order to reduce damages effectively for the areal drought, the storage of the reservoirs within the areal boundary should be managed as a group. Storage management procedures are as follows : 1. Collecting and checking the present storages of all reservoirs 2. Computing the drought frequency and depth; and finally, establishing a suitable storage saving strategy based on the estimated drought depth. For the purpose of this storage management, the RESTOMS(Reservoirs Storage Management System) was developed and the system was composed of the PRIME computer and the ORACLE as a distributed database management system, which was the host computer of Rural Development Corporation and would be on-lined with the regional offices throughout the country. Reservoirs operated by Farm Land Improvment Association were comprised in the DB system. Using the RESTOMS, the drought frequencies and drought depths were calculated with respect to the reservoir storage records(1967 to 1992). It was obvious that the results were closely corresponding to the real drought records.

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부분 손상된 음성의 인식 향상을 위한 채널집중 MFCC 기법 (Channel-attentive MFCC for Improved Recognition of Partially Corrupted Speech)

  • 조훈영;지상문;오영환
    • 한국음향학회지
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    • 제22권4호
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    • pp.315-322
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    • 2003
  • 본 논문에서는 주파수 영역의 일부가 상대적으로 심하게 손상된 음성에 대한 음성 인식기의 성능을 향상시키기 위해 채널집중 멜 켑스트럼 특징추출법을 제안한다. 이 방법은 기존멜 켑스트럼 특징추출의 필터뱅크분석 단계에서 각 채널의 신뢰도를 구하고, 신뢰도가 높은 주파수 영역이 음성인식에 보다 중요하게 사용되도록 멜 켑스트럼 추출 및 HMM의 출력확률 계산식에 채널 가중을 도입한다. TIDIGITS 데이터베이스에 음성의 일부 주파수를 손상시키는 다양한 주파수 선택 잡음을 가산하여 인식 실험을 수행한 결과, 제안한 방법은 덜 손상된 주파수영역의 음성 정보를 효과적으로 활용하며, 주파수선택 잡음에 대해 우수하다고 알려진 다중대역 음성인식에 비해 평균 11.2%더 높은 성능을 얻었다.

Exploring the temporal and spatial variability with DEEP-South observations: reduction pipeline and application of multi-aperture photometry

  • Shin, Min-Su;Chang, Seo-Won;Byun, Yong-Ik;Yi, Hahn;Kim, Myung-Jin;Moon, Hong-Kyu;Choi, Young-Jun;Cha, Sang-Mok;Lee, Yongseok
    • 천문학회보
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    • 제43권1호
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    • pp.70.1-70.1
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    • 2018
  • The DEEP-South photometric census of small Solar System bodies is producing massive time-series data of variable, transient or moving objects as a by-product. To fully investigate unexplored variable phenomena, we present an application of multi-aperture photometry and FastBit indexing techniques to a portion of the DEEP-South year-one data. Our new pipeline is designed to do automated point source detection, robust high-precision photometry and calibration of non-crowded fields overlapped with area previously surveyed. We also adopt an efficient data indexing algorithm for faster access to the DEEP-South database. In this paper, we show some application examples of catalog-based variability searches to find new variable stars and to recover targeted asteroids. We discovered 21 new periodic variables including two eclipsing binary systems and one white dwarf/M dwarf pair candidate. We also successfully recovered astrometry and photometry of two near-earth asteroids, 2006 DZ169 and 1996 SK, along with the updated properties of their rotational signals (e.g., period and amplitude).

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Measurement and Modeling of Personal Exposure to the Electric and Magnetic Fields in the Vicinity of High Voltage Power Lines

  • Tourab, Wafa;Babouri, Abdesselam
    • Safety and Health at Work
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    • 제7권2호
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    • pp.102-110
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    • 2016
  • Background: This work presents an experimental and modeling study of the electromagnetic environment in the vicinity of a high voltage substation located in eastern Algeria (Annaba city) specified with a very high population density. The effects of electromagnetic fields emanating from the coupled multi-lines high voltage power systems (MLHV) on the health of the workers and people living in proximity of substations has been analyzed. Methods: Experimental Measurements for the Multi-lines power system proposed have been conducted in the free space under the high voltage lines. Field's intensities were measured using a referenced and calibrated electromagnetic field meter PMM8053B for the levels 0 m, 1 m, 1.5 m and 1.8 m witch present the sensitive's parts as organs and major functions (head, heart, pelvis and feet) of the human body. Results: The measurement results were validated by numerical simulation using the finite element method and these results are compared with the limit values of the international standards. Conclusion: We project to set own national standards for exposure to electromagnetic fields, in order to achieve a regional database that will be at the disposal of partners concerned to ensure safety of people and mainly workers inside high voltage electrical substations.

Multi-biomarkers-Base Alzheimer's Disease Classification

  • Khatri, Uttam;Kwon, Goo-Rak
    • Journal of Multimedia Information System
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    • 제8권4호
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    • pp.233-242
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    • 2021
  • Various anatomical MRI imaging biomarkers for Alzheimer's Disease (AD) identification have been recognized so far. Cortical and subcortical volume, hippocampal, amygdala volume, and genetics patterns have been utilized successfully to diagnose AD patients from healthy. These fundamental sMRI bio-measures have been utilized frequently and independently. The entire possibility of anatomical MRI imaging measures for AD diagnosis might thus still to analyze fully. Thus, in this paper, we merge different structural MRI imaging biomarkers to intensify diagnostic classification and analysis of Alzheimer's. For 54 clinically pronounce Alzheimer's patients, 58 cognitively healthy controls, and 99 Mild Cognitive Impairment (MCI); we calculated 1. Cortical and subcortical features, 2. The hippocampal subfield, amygdala nuclei volume using Freesurfer (6.0.0) and 3. Genetics (APoE ε4) biomarkers were obtained from the ADNI database. These three measures were first applied separately and then combined to predict the AD. After feature combination, we utilize the sequential feature selection [SFS (wrapper)] method to select the top-ranked features vectors and feed them into the Multi-Kernel SVM for classification. This diagnostic classification algorithm yields 94.33% of accuracy, 95.40% of sensitivity, 96.50% of specificity with 94.30% of AUC for AD/HC; for AD/MCI propose method obtained 85.58% of accuracy, 95.73% of sensitivity, and 87.30% of specificity along with 91.48% of AUC. Similarly, for HC/MCI, we obtained 89.77% of accuracy, 96.15% of sensitivity, and 87.35% of specificity with 92.55% of AUC. We also presented the performance comparison of the proposed method with KNN classifiers.

OLAP 환경에서 다중 존 디스크를 활용한 실체뷰의 효율적 저장 기법 (Efficient Storage Techniques for Materialized Views Using Multi-Zoned Disks in OLAP Environment)

  • 장재영
    • 한국전자거래학회지
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    • 제14권1호
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    • pp.143-160
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    • 2009
  • 대용량의 데이타를 다루는 OLAP 데이타베이스 환경에서는 기반 디스크 시스템의 구조와 효율적 접근방법이 전체적인 성능을 좌우하는 중요한 요소가 된다. 최근 들어 하드 디스크들은 여러 개의 물리적 존을 갖는 구조로 설계되고 있는데, 각 존들은 그 위치에 따라 다양한 탐색시간과 데이타 전송률을 갖는 특징을 갖고 있다. 그러나 기존 연구에서는 다중 존을 고려하지 않은 하나의 탐색시간과 데이타 전송률을 갖는 단순한 디스크 모델에 기반을 두고 진행되어 왔다. 본 논문에서는 대용량의 데이타를 다루는 OLAP 환경에서 주어진 실체뷰 집합을 다중 존에 효율적으로 저장하는 기법을 제안한다. 이를 위해 각 실체뷰를 접근확률에 따라 디스크 존에 배치하는 알고리즘을 제시하고, 데이타 지속적으로 갱신되는 동적 환경에서의 저장 방법에 대해서도 살펴본다. 마지막으로 실험을 통하여 본 논문에서 제시된 알고리즘을 효율성을 증명한다.

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No-reference Image Blur Assessment Based on Multi-scale Spatial Local Features

  • Sun, Chenchen;Cui, Ziguan;Gan, Zongliang;Liu, Feng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권10호
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    • pp.4060-4079
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    • 2020
  • Blur is an important type of image distortion. How to evaluate the quality of blurred image accurately and efficiently is a research hotspot in the field of image processing in recent years. Inspired by the multi-scale perceptual characteristics of the human visual system (HVS), this paper presents a no-reference image blur/sharpness assessment method based on multi-scale local features in the spatial domain. First, considering various content has different sensitivity to blur distortion, the image is divided into smooth, edge, and texture regions in blocks. Then, the Gaussian scale space of the image is constructed, and the categorized contrast features between the original image and the Gaussian scale space images are calculated to express the blur degree of different image contents. To simulate the impact of viewing distance on blur distortion, the distribution characteristics of local maximum gradient of multi-resolution images were also calculated in the spatial domain. Finally, the image blur assessment model is obtained by fusing all features and learning the mapping from features to quality scores by support vector regression (SVR). Performance of the proposed method is evaluated on four synthetically blurred databases and one real blurred database. The experimental results demonstrate that our method can produce quality scores more consistent with subjective evaluations than other methods, especially for real burred images.

공동주택 커뮤니티 관련 연구들의 시대적 경향분석과 사회적 배경 요인들과의 관계 (Relationship Between the Changes in Researches about Multi-Family-Housing Community and the Social Background Factors)

  • 강순주;김진영;함선익
    • 한국주거학회논문집
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    • 제23권4호
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    • pp.19-31
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    • 2012
  • The main objectives of this research are to compile all the researches published in the registered academic journals to study the trends of researches and analyze the relationships between research contents and the social factors so that the accomplishments of community related researches and future tasks can be identified. For this purpose, 97 papers published between 1973 and July 2011 were chronologically organized and analyzed in terms of research methods, main contents, and their relationship with social factors. The key findings are as follows; 1) Researches on multi-family-housing community started in 1973 mainly focusing on the social factors of neighbors in a complex; since 2000, however, the researches on physical factors were increased the most followed by psychological and social factors accordingly. 2) The research findings were not fully developed to give a guidance for appropriate space programs or an analysis of residents' preference on facilities. The cause of this shortfall is due to the fact that there was a lack of studies on residents' usage of community facilities based on quantified database. 3) More comprehensive researches should be conducted in the future for vitalizations of community through facility supply system and design guidelines, development and operation of community programs and measures to enhance community awareness targeted on public housing and more diverse types of housing being apart from typical multi-family-houisng provide by private sector.