• Title/Summary/Keyword: open memory window

Search Result 3, Processing Time 0.018 seconds

A Sliding Window Technique for Open Data Mining over Data Streams (개방 데이터 마이닝에 효율적인 이동 윈도우 기법)

  • Chang Joong-Hyuk;Lee Won-Suk
    • The KIPS Transactions:PartD
    • /
    • v.12D no.3 s.99
    • /
    • pp.335-344
    • /
    • 2005
  • Recently open data mining methods focusing on a data stream that is a massive unbounded sequence of data elements continuously generated at a rapid rate are proposed actively. Knowledge embedded in a data stream is likely to be changed over time. Therefore, identifying the recent change of the knowledge quickly can provide valuable information for the analysis of the data stream. This paper proposes a sliding window technique for finding recently frequent itemsets, which is applied efficiently in open data mining. In the proposed technique, its memory usage is kept in a small space by delayed-insertion and pruning operations, and its mining result can be found in a short time since the data elements within its target range are not traversed repeatedly. Moreover, the proposed technique focused in the recent data elements, so that it can catch out the recent change of the data stream.

Quasi-nonvolatile Memory Characteristics of Silicon Nanosheet Feedback Field-effect Transistors (실리콘 나노시트 피드백 전계효과 트랜지스터의 준비휘발성 메모리 특성 연구)

  • Seungho Ryu;Hyojoo Heo;Kyoungah Cho;Sangsig Kim
    • Journal of IKEEE
    • /
    • v.27 no.4
    • /
    • pp.386-390
    • /
    • 2023
  • In this study, we examined the quasi-nonvolatile memory characteristics of silicon nanosheet (SiNS) feedback field-effect transistors (FBFETs) fabricated using a complementary metal-oxide-semiconductor process. The SiNS channel layers fabricated by photoresist overexposure method had a width of approximately 180 nm and a height of 70 nm. The SiNS FBFETs operated in a positive feedback loop mechanism and exhibited an extremely low subthreshold swing of 1.1 mV/dec and a high ON/OFF current ratio of 2.4×107. Moreover, SiNS FBFETs represented long retention time of 50 seconds, indicating the quasi-nonvolatile memory characteristics.

Implementation of PersonalJave™ AWT using Light-weight Window Manager (경량 윈도우 관리기를 이용한 퍼스널자바 AWT 구현)

  • Kim, Tae-Hyoun;Kim, Kwang-Young;Kim, Hyung-Soo;Sung, Min-Young;Chang, Nae-Hyuck;Shin, Heon-Shik
    • Journal of KIISE:Computing Practices and Letters
    • /
    • v.7 no.3
    • /
    • pp.240-247
    • /
    • 2001
  • Java is a promising runtime environment for embedded systems because it has many advantages such as platform independence, high security and support for multi-threading. One of the most famous Java run-time environments, Sun's ($PersonalJave^{TM}$) is based on Truffle architecture, which enables programmers to design various GUIs easily. For this reason, it has been ported to various embedded systems such as set-top boxes and personal digital assistants(PDA's). Basically, Truffle uses heavy-weight window managers such as Microsoft vVin32 API and X-Window. However, those window managers are not adequate for embedded systems because they require a large amount of memory and disk space. To come up with the requirements of embedded systems, we adopt Microwindows as the platform graphic system for Personal] ava A WT onto Embedded Linux. Although Microwindows is a light-weight window manager, it provides as powerful API as traditional window managers. Because Microwindows does not require any support from other graphics systems, it can be easily ported to various platforms. In addition, it is an open source code software. Therefore, we can easily modify and extend it as needed. In this paper, we implement Personal]ava A WT using Microwindows on embedded Linux and prove the efficiency of our approach.

  • PDF