• Title/Summary/Keyword: Object Storage

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Object-oriented Prototype Framework For Tightly Coupled GIS-based Hydrologic Modeling (객체지향성 프로그래밍 방법을 통한 GIS 연계의 수문모델)

  • Kang, Kwang-Min;Rim, Chang-Soo;Yoon, Sei-Eui
    • Journal of Korea Water Resources Association
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    • v.45 no.6
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    • pp.597-606
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    • 2012
  • With the availability of multi-scale hydrologic data in public domain depending on DEM size, there is a need for a modeling framework that is capable of using these data to simulate hydrologic processes at multiple scales for different topographic and climate conditions for distributed hydrologic model. To address this need, an object-oriented approach, called Geographic and Hydrologic Information System Modeling Objects (GHISMO), is developed. Main hydrologic approaches in GHISMO are storage-release for direct runoff and SCS curve number method for infiltration part. This paper presents conceptual and structural framework of storage-release concept including its application to two watersheds will be presented.

An XML Data Management System Using an Object-Relational Database

  • Nam, S.H.;Jung, T.S.;Kim, T.K.;Kim, K.R.;Zahng, H.K.;Yoo, J.S.;Cho, W.S.
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2007.02a
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    • pp.163-167
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    • 2007
  • We propose an XML document storage system, called XDMS (XML Document Management System), by using an object-relational DBMS. XDMS generates object database schema from XML Schema and stores the XML documents in an object-relational database. SAX parser is used for understanding the structure of the XML documents, and XDMS transforms the documents into objects in the database. Experiment shows that object-relational databases provide more efficient storage and query model compared with relational databases.

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Design and Implementation of a Backup System for Object based Storage Systems (객체기반 저장시스템을 위한 백업시스템 설계 및 구현)

  • Yun, Jong-Hyeon;Lee, Seok-Jae;Jang, Su-Min;Yoo, Jae-Soo;Kim, Hong-Yeon;Kim, Jun
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.1
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    • pp.1-17
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    • 2008
  • Recently, the object based storage devices systems(OSDs) have been actively researched. They are different from existing block based storage systems(BSDs) in terms of the storage unit. The storage unit of the OSDs is an object that includes the access methods, the attributes of data, the security information, and so on. The object has no size limit and no influence on the internal storage structures. Therefore, the OSDs improve the I/O throughput and the scalability. But the backup systems for the OSDs still use the existing backup techniques for the BSDs. As a result, they need much backup time and do not utilize the characteristics of the OSDs. In this paper, we design and implement a new object based backup system that utilizes the features of the OSDs. Our backup system significantly improves the backup time over existing backup systems because the raw objects are directly transferred to the backup devices in our system. It also restores the backup data much faster than the existing systems when system failures occur. In addition, it supports various types of backup and restore requests.

Design and Implementation of XML Documents Storage System using UNISQL/X (UNISQL/X를 이용한XML 문서 저장 시스템 설계 및 구현)

  • 안병태;김현아
    • Journal of the Korea Society of Computer and Information
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    • v.6 no.1
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    • pp.38-44
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    • 2001
  • Nowadays, the study on XML as a standard method of exchange of information is active as Internet technology develops. This thesis designs and implements XML documents storage system using uniSQL/X in object-relational database. The system takes advantage of the merits of object-oriented databases, so that the structural information of XML documents can be effectively represented. The system uses split-storage method to allow frequent modifications of XML documents and suggests DTD-independent model so that it can store XML documents without DTD. And retrieval speed is improved by solving the issue of data duplication.

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X-Ray Security Checkpoint System Using Storage Media Detection Method Based on Deep Learning for Information Security

  • Lee, Han-Sung;Kim Kang-San;Kim, Won-Chan;Woo, Tea-Kun;Jung, Se-Hoon
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1433-1447
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    • 2022
  • Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

A Storage Technique for XML Documents based on Object-Relational Database (객체-관계형 데이타베이스 기반의 XML 문서 저장 기법)

  • Kim, Ji-Sim;Lee, Ki-Ho
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.4
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    • pp.389-398
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    • 2002
  • As XML has been proposed a standard format for organizing and exchanging data in the internet, many applications on managing XML data have been developed. Especially, there are many studies for storing XML documents. It is important to evaluate the performance for efficient storage techniques. In this work, we suggest an efficient technique for storing XML documents using an object-relational database model. We verify the efficiency of a new storage technique through the performance evaluation on XML storage techniques. The contributions of this paper is that we suggest an efficient storage technique using an existing data management model and evaluate the performance for storage techniques for XML documents including an new storage technique.

An efficient Storage Reclamation Algorithm for RISC Parallel Processing (RISC 병렬 처리를 위한 기억공간의 효율적인 활용 알고리즘)

  • 이철원;임인칠
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.9
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    • pp.703-711
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    • 1991
  • In this paper, an efficient storage reclamation algorithm for RISC parallel processing in the object orented programming environments is presented. The memory management for the dynamic memory allocation and the frequent memory access in object oriented programming is the main factor that decreases RISC parallel processing performance. The proposed algorithm can be efficiently allocated the memory space of RISCy computer which is required the frequent memory access, so it can be increased RISC parallel processing performance. The proposed algorithm is verified the efficiency by implementing C language on SUN SPARC(4.3 BSD UNIX).

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Moving Object Detection Using Sparse Approximation and Sparse Coding Migration

  • Li, Shufang;Hu, Zhengping;Zhao, Mengyao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2141-2155
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    • 2020
  • In order to meet the requirements of background change, illumination variation, moving shadow interference and high accuracy in object detection of moving camera, and strive for real-time and high efficiency, this paper presents an object detection algorithm based on sparse approximation recursion and sparse coding migration in subspace. First, low-rank sparse decomposition is used to reduce the dimension of the data. Combining with dictionary sparse representation, the computational model is established by the recursive formula of sparse approximation with the video sequences taken as subspace sets. And the moving object is calculated by the background difference method, which effectively reduces the computational complexity and running time. According to the idea of sparse coding migration, the above operations are carried out in the down-sampling space to further reduce the requirements of computational complexity and memory storage, and this will be adapt to multi-scale target objects and overcome the impact of large anomaly areas. Finally, experiments are carried out on VDAO datasets containing 59 sets of videos. The experimental results show that the algorithm can detect moving object effectively in the moving camera with uniform speed, not only in terms of low computational complexity but also in terms of low storage requirements, so that our proposed algorithm is suitable for detection systems with high real-time requirements.

A Study on the Design and Implementation of the Lightweight Object Model Supporting Distributed Trader (분산 트레이더를 지원하는 경량 (lightweight) 객체 모델 설계 및 구현 방안 연구)

  • Jin, Myeong-Suk;Song, Byeong-Gwon
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.4
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    • pp.1050-1061
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    • 2000
  • This paper presents a new object model, LOM(Lightweight Object Model) and an implementation method for the distributed trader in heterogeneous distributed computing environment including mobile network. Trader is third party object that enables clients to find suitable servers, which provide the most appropriate services to client in distributed environment including dynamic reconfiguration of services and servers. Trading service requires simpler and more specific object model than genetic object models which provide richer multimedia data types and semantic characteristics with complex data structures. LOM supports a new reference attribute type instead of the relationship, inheritance and composite attribute types of the general object oriented models and so LOM has simple data structures. Also in LOM, the modelling step includes specifying of the information about users and the access right to objects for security in the mobile environment and development of the distributed storage for trading service. Also, we propose and implementation method of the distributed trader, which integrates the LOM-information object model and the OMG (object Management Group) computational object model.

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Storage Techniques Using an Object-Relational Database for XML Documents (객체-관계형 데이터베이스를 이용한 XML 문서 저장 기법)

  • Lee, Wol-Young;Yong, Hwan-Seung
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.305-316
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    • 2004
  • XML is becoming the de facto standard for data exchange over the Internet as a semistructured data which properties are irregular and incomplete. Therefore, to handle these data efficiently. what we use storage devices and storage techniques are Primary factors. In this paper, we developed storage techniques, which take the virtues of an object-relational database and support various query types needed for XML query languages without regard to the DTD. The techniques are capable with connecting naturally with conventional data and reducing overheads caused by the characteristics of an XML data model.