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[Keyword] FIP(2hit)

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  • A Reliable 1T1C FeRAM Using a Thermal History Tracking 2T2C Dual Reference Level Technique for a Smart Card Application Chip

    Shoichiro KAWASHIMA  Isao FUKUSHI  Keizo MORITA  Ken-ichi NAKABAYASHI  Mitsuharu NAKAZAWA  Kazuaki YAMANE  Tomohisa HIRAYAMA  Toru ENDO  

     
    PAPER-Next-Generation Memory for SoC

      Vol:
    E90-C No:10
      Page(s):
    1941-1948

    A robust 1T1C FeRAM sensing technique is demonstrated that employs both word base access and reference level generation architecture to track the thermal history of the cells by utilizing a Feedback inverter Input Push-down (FIP) method for a Bit line Ground Sensing (BGS) pre-amplifier and a self-timing latch Sense Amplifier (SA) which is immune to increasing non-switching charges due to thermal depolarization or imprint of ferroelectric capacitor. The word base access unit consists of one 2T2C cell that stores 0/1 data and also generates '0' and '1' reference levels by which other 1T1C signals are compared. A 0.18-µm CMOS 3-V 1-Mbit device was qualified by a 250 bake for a short time retention and 150 1000-hour bake which is an accelerated equivalent to 10-years retention. It endured 1012 fatigue cycles with an access time of 81 ns, 3.0 V VDD at 85. Also a Smart Card application chip which is embedded with the 1-Mbit FeRAM macro showed 30% faster download time than one with EEPROM.

  • Assuring Interoperability of Heterogeneous Multi-Agent Systems

    Hiroki SUGURI  Eiichiro KODAMA  Masatoshi MIYAZAKI  

     
    PAPER-Agent-Based Systems

      Vol:
    E86-D No:10
      Page(s):
    2095-2103

    In order for the agent-based applications to be truly autonomous and decentralized, heterogeneous multi-agent systems themselves must communicate and interoperate with each other. To solve the problem, we take a two-step approach. First, message-level interoperability is realized by a gateway agent that interconnects heterogeneous multi-agent systems. Second, higher-level interoperation of conversations, which consist of bi-directional streams of messages, is achieved by dynamically negotiating the interaction protocols. We demonstrate the concept, technique and implementation of integrating multi-agent systems and show how the method improves the assurance of real-world applications in autonomous decentralized systems.