Search Results - "Komori, Takumi"
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The Forced Magnetostrictions and Magnetic Properties of Ni2MnX (X = In, Sn) Ferromagnetic Heusler Alloys
Published in Materials (25-04-2020)“…Experimental studies into the forced magnetostriction, magnetization, and temperature dependence of permeability in Ni2MnIn and Ni2MnSn ferromagnetic Heusler…”
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Journal Article -
2
DVFS Virtualization for Energy Minimization of Mixed-Criticality Dual-OS Platforms
Published in 2022 IEEE 28th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (01-01-2022)“…A dual-OS platform can efficiently implement emerging mixed-criticality systems by consolidating a real-time OS (RTOS) and a general-purpose OS (GPOS)…”
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Conference Proceeding -
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Rotation angle sensing system using magnetostrictive alloy Terfenol-D and permanent magnet
Published in Sensors and actuators. A. Physical. (15-04-2021)“…[Display omitted] •Development of the rotation angle sensor using the polycrystalline magnetostrictive alloy Terfenol-D, SmCo magnet, and commercial dial…”
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Journal Article -
4
Integration of Minimum Energy Point Tracking and Soft Real-Time Scheduling for Edge Computing
Published in 2021 22nd International Symposium on Quality Electronic Design (ISQED) (07-04-2021)“…In the upcoming Internet of Things era, reducing energy consumption of embedded processors is highly desired. Minimum Energy Point Tracking (MEPT) is one of…”
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Conference Proceeding -
5
The Forced Magnetostrictions and Magnetic Properties of Ni 2 MnX (X = In, Sn) Ferromagnetic Heusler Alloys
Published in Materials (25-04-2020)“…Experimental studies into the forced magnetostriction, magnetization, and temperature dependence of permeability in Ni MnIn and Ni MnSn ferromagnetic Heusler…”
Get full text
Journal Article -
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Modeling of texture images by use of structuring elements of morphological filters
Published in Electronics & communications in Japan. Part 3, Fundamental electronic science (01-07-2001)“…We propose a new model of texture images using morphological filters. This method is based on a linear predictive model [autoregressive (AR) model], which is a…”
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Journal Article