• Title/Summary/Keyword: Flash based storage

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Research of Application the Virtual Reality Technology in Chemistry Education (화학 교육에서 가상현실 기법의 활용에 대한 연구)

  • Park, Jong Seok;Sim, Gyu Cheol;Kim, Jae Hyeon;Kim, Hyeon Seop;Ryu, Hae Il;Park, Yeong Cheol
    • Journal of the Korean Chemical Society
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    • v.46 no.5
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    • pp.450-468
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    • 2002
  • As the computer is popularized in individual and society, it is using in a many of area. In particular, there are many materials to learn a science knowledge using multimedia through computer. Many of them are web-based learning materials, which are developed by Java or Flash. Since the technology of the representation, storage, com-putation and communication in computer make progress, the environment of education is also developed. Especially, the internet and VR technology will cause the education to change. A key feature of VR is real-time interactivity, in that the computer is able to detect student input and instantaneously modify the virtual world. It is reported that using the VR simulation in chemistry education can increase student engagement in class, promote understanding of basic chem-ical principles, and augment laboratory experience. In this study, application way of the virtual reality technology in chemistry education is examined.

Data Deduplication Method using Locality-based Chunking policy for SSD-based Server Storages (SSD 기반 서버급 스토리지를 위한 지역성 기반 청킹 정책을 이용한 데이터 중복 제거 기법)

  • Lee, Seung-Kyu;Kim, Ju-Kyeong;Kim, Deok-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.2
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    • pp.143-151
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    • 2013
  • NAND flash-based SSDs (Solid State Drive) have advantages of fast input/output performance and low power consumption so that they could be widely used as storages on tablet, desktop PC, smart-phone, and server. But, SSD has the disadvantage of wear-leveling due to increase of the number of writes. In order to improve the lifespan of the SSD, a variety of data deduplication techniques have been introduced. General fixed-size splitting method allocates fixed size of chunk without considering locality of data so that it may execute unnecessary chunking and hash key generation, and variable-size splitting method occurs excessive operation since it compares data byte-by-byte for deduplication. This paper proposes adaptive chunking method based on application locality and file name locality of written data in SSD-based server storage. The proposed method split data into 4KB or 64KB chunks adaptively according to application locality and file name locality of duplicated data so that it can reduce the overhead of chunking and hash key generation and prevent duplicated data writing. The experimental results show that the proposed method can enhance write performance, reduce power consumption and operation time compared to existing variable-size splitting method and fixed size splitting method using 4KB.

Implementation of User-friendly Intelligent Space for Ubiquitous Computing (유비쿼터스 컴퓨팅을 위한 사용자 친화적 지능형 공간 구현)

  • Choi, Jong-Moo;Baek, Chang-Woo;Koo, Ja-Kyoung;Choi, Yong-Suk;Cho, Seong-Je
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.443-452
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    • 2004
  • The paper presents an intelligent space management system for ubiquitous computing. The system is basically a home/office automation system that could control light, electronic key, and home appliances such as TV and audio. On top of these basic capabilities, there are four elegant features in the system. First, we can access the system using either a cellular Phone or using a browser on the PC connected to the Internet, so that we control the system at any time and any place. Second, to provide more human-oriented interface, we integrate voice recognition functionalities into the system. Third, the system supports not only reactive services but also proactive services, based on the regularities of user behavior. Finally, by exploiting embedded technologies, the system could be run on the hardware that has less-processing power and storage. We have implemented the system on the embedded board consisting of StrongARM CPU with 205MHz, 32MB SDRAM, 16MB NOR-type flash memory, and Relay box. Under these hardware platforms, software components such as embedded Linux, HTK voice recognition tools, GoAhead Web Server, and GPIO driver are cooperated to support user-friendly intelligent space.