• Title/Summary/Keyword: information storage

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Development of Soil Organic Carbon Storage Estimation Model Using Soil Characteristics (토양 특성을 이용한 토양유기탄소저장량 산정 모형 개발)

  • Lee, Taehwa;Kim, Sangwoo;Shin, Yongchul;Jung, Younghun;Lim, Kyoung-Jae;Yang, Jae E;Jang, Won Seok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.6
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    • pp.1-8
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    • 2019
  • Carbon dioxide is one of the major driving forces causing climate changes, and many countries have been trying to reduce carbon dioxide emissions from various sources. Soil stores more carbon dioxide(two to three times) amounts than atmosphere indicating that soil organic carbon emission management are a pivotal issue. In this study, we developed a Soil Organic Carbon(SOC) storage estimation model to predict SOC storage amounts in soils. Also, SOC storage values were assessed based on the carbon emission price provided from Republic Of Korea(ROK). Here, the SOC model calculated the soil hydraulic properties based on the soil physical and chemical information. Base on the calculated the soil hydraulic properties and the soil physical chemical information, SOC storage amounts were estimated. In validation, the estimated SOC storage amounts were 486,696 tons($3.526kg/m^2$) in Jindo-gun and shown similarly compared to the previous literature review. These results supported the robustness of our SOC model in estimating SOC storage amounts. The total SOC storage amount in ROK was 305 Mt, and the SOC amount at Gyeongsangbuk-do were relatively higher than other regions. But the SOC storage amount(per unit) was highest in Jeju island indicating that volcanic ashes might influence on the relatively higher SOC amount. Based on these results, the SOC storage value was shown as 8.4 trillion won in ROK. Even though our SOC model was not fully validated due to lacks of measured SOC data, our approach can be useful for policy-makers in reducing soil organic carbon emission from soils against climate changes.

Report on IPSW 4

  • Hong, Seung-Bum;Rhim, Yoon-Chul
    • Transactions of the Society of Information Storage Systems
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    • v.3 no.1
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    • pp.40-42
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    • 2007
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Performance Improvement Using Iterative Two-Dimensional Soft Output Viterbi Algorithm Associated with Noise Filter for Holographic Data Storage Systems

  • Nguyen, Dinh-Chi;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.3
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    • pp.121-126
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    • 2014
  • Demand of the data storage becomes more and more growing. This requests the next generation of storage devices to have the dominated storage capability associated with superfast read/write rate. Holographic data storage (HDS) is investigated for a long time and is considered to be a candidate for the future storage system. However, it has two-dimensional intersymbol interference that conventional one-dimensional detection solutions have not yet handled strictly because of the complexity level of system as well as the cost. We propose a new scheme that combines iterative soft output Viterbi algorithm with noise filter for improving the bit error rate performance of HDS.

Implementation of Group Office System Based on Internet (인터넷 기반의 그룹 오피스 시스템 구현)

  • Kim Kyoung-Rok;Song Seok-Il;Kwak Yoon-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.3
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    • pp.540-546
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    • 2005
  • In this paper, we design and implement a distributed web-storage and a group office system based on the distributed web-storage. It is easier to customize the proposed group office according to user's demands than existing web-based applications. Our proposed web-storage is distributed system which consists of multiple storage servers. The web-storage provides storage with considering the user's location so as to provide fast storage service.

A New Approach to Servo System Design in Hard Disk Drive Systems

  • Kim, Nam-Guk;Choi, Soo-Young;Chu, Sang-Hoon;Lee, Kang-Seok;Lee, Ho-Seong
    • Transactions of the Society of Information Storage Systems
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    • v.1 no.2
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    • pp.137-142
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    • 2005
  • In this paper, we propose a new servo system design strategy to reduce the position error signal(PES) and track mis-registration(TMR) in magnetic disk drive systems. The proposed method provides a systematic design procedure based on the plant model and an optimal solution via an optimization with a 'Robust Random Neighborhood Search(RRNS)' algorithm. In addition, it guarantees the minimum PES level as well as stability to parametric uncertainties. Furthermore, the proposed method can be used to estimate the performance at the design stage and thus can reduce the cost and time for the design of the next generation product. The reduction of PES as well as robust stability is demonstrated by simulation and experiments.

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Mirror-Switching Scheme for High-Speed Embedded Storage Systems (고속 임베디드 저장 시스템을 위한 복제전환 기법)

  • Byun, Si-Woo;Jang, Seok-Woo
    • Transactions of the Society of Information Storage Systems
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    • v.7 no.1
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    • pp.7-12
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    • 2011
  • The flash memory has been remarked as the next generation media of portable and desktop computers' storage devices. Their features include non-volatility, low power consumption, and fast access time for read operations, which are sufficient to present flash memories as major data storage components for desktop and servers. The purpose of our study is to upgrade a traditional mirroring scheme based on SSD storages due to the relatively slow or freezing characteristics of write operations, as compared to fast read operations. For this work, we propose a new storage management scheme called Memory Mirror-Switching based on traditional mirroring scheme. Our Mirror-Switching scheme improves flash operation performance by switching write-workloads from flash memory to RAM and delaying write operations to avoid freezing. Our test results show that our scheme significantly reduces the write operation delay and storage freezing.

Design and Implementation of a Low-level Storage Manager for Efficient Storage and Retrieval of Multimedia Data in NOD Services (NoD서비스용 멀티미디어 데이터의 효율적인 저장 및 검색을 위한 하부저장 관리자의 설계 및 구현)

  • Jin, Ki-Sung;Jung, Jae-Wuk;Chang, Jae-Woo
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.4
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    • pp.1033-1043
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    • 2000
  • Recently as the user request on NoD (News-on-Demand) is largely increasing, there are a lot of researches to fulfill it. However, because of short life-cycle of new video data and periodical change of video data depending on anchor, it is difficult to apply the conventional video storage techniques to NOD applications directly. For this, we design and implement low-level storage manager for efficient storage and retrieval of multimedia data in NOD Services. Our low-level storage manager not only efficiently sotres video stream dat of new video itself, but also handles its index information. It provides an inverted file method for efficient text-based retrieval and an X-tree index structure for high-dimensional feature vectors. In addition, our low-level storage manager provides some application program interfaces (APIs) for storing video objects itself and index information extracted from hierarchial new video and some APIs for retrieving video objects easily by using cursors. Finally, we implement our low-level storage manager based on SHORE (Scalable Heterogeneous Object REpository) storage system by sunig a standard C++ language under UNIX operating system.

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Technical analysis of Cloud Storage for Cloud Computing (클라우드 컴퓨팅을 위한 클라우드 스토리지 기술 분석)

  • Park, Jeong-Su;Bae, Yu-Mi;Jung, Sung-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.5
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    • pp.1129-1137
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    • 2013
  • Cloud storage system that cloud computing providers provides large amounts of data storage and processing of cloud computing is a key component. Large vendors (such as Facebook, YouTube, Google) in the mass sending of data through the network quickly and easily share photos, videos, documents, etc. from heterogeneous devices, such as tablets, smartphones, and the data that is stored in the cloud storage using was approached. At time, growth and development of the globally data, the cloud storage business model emerging is getting. Analysis new network storage cloud storage services concepts and technologies, including data manipulation, storage virtualization, data replication and duplication, security, cloud computing core.

Minimum Bandwidth Regenerating Codes Based on Cyclic VFR Codes

  • Wang, Jing;Wang, Shuxia;Wang, Tiantian;Zhang, Xuefei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3583-3598
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    • 2019
  • In order to improve the reliability and repair efficiency of distributed storage systems, minimum bandwidth regenerating (MBR) codes based on cyclic variable fractional repetition (VFR) codes are constructed in this thesis, which can repair failed nodes accurately. Specifically, in order to consider the imbalance of data accessed by the users, cyclic VFR codes are constructed according to that data with different heat degrees are copied in different repetition degrees. Moreover, we divide the storage nodes into groups, and construct MBR codes based on cyclic VFR codes to improve the file download speed. Performance analysis and simulation results show that, the repair locality of a single node failure is always 2 when MBR codes based on cyclic VFR codes are adopted in distributed storage systems, which is obviously superior to the traditional MBR codes. Compared with RS codes and simple regenerating codes, the proposed MBR codes based on cyclic VFR codes have lower repair locality, repair complexity and bandwidth overhead, as well as higher repair efficiency. Moreover, relative to FR codes, the MBR codes based on cyclic VFR codes can be applicable to more storage systems.

Development of scalable big data storage system using network computing technology (네트워크 컴퓨팅 기술을 활용한 확장 가능형 빅데이터 스토리지 시스템 개발)

  • Park, Jung Kyu;Park, Eun Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1330-1336
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    • 2019
  • As the Fourth Industrial Revolution era began, a variety of devices are running on the cloud. These various devices continue to generate various types of data or large amounts of multimedia data. To handle this situation, a large amount of storage is required, and big data technology is required to process stored data and obtain accurate information. NAS (Network Attached Storage) or SAN (Storage Area Network) technology is typically used to build high-speed, high-capacity storage in a network-based environment. In this paper, we propose a method to construct a mass storage device using Network-DAS which is an extension technology of DAS (Direct Attached Storage). Benchmark experiments were performed to verify the scalability of the storage system with 76 HDD. Experimental results show that the proposed high performance mass storage system is scalable and reliable.