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Low-power multi-sensor system with task scheduling and autonomous standby mode transition control for IoT applications.

, , , , and . COOL Chips, page 1-3. IEEE Computer Society, (2017)

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Low-power multi-sensor system with task scheduling and autonomous standby mode transition control for IoT applications., , , , and . COOL Chips, page 1-3. IEEE Computer Society, (2017)Low-Power Multi-Sensor System with Power Management and Nonvolatile Memory Access Control for IoT Applications., , , , , , , and . IEEE Trans. Multi Scale Comput. Syst., 4 (4): 784-792 (2018)A Testing Technique for ULSI Memory with On-Chip Voltage Down Converter., , , , , , and . ITC, page 615-622. IEEE Computer Society, (1992)An Energy-Efficient Task Scheduling for Near Real-Time Systems on Heterogeneous Multicore Processors., , , , , , and . IEICE Trans. Inf. Syst., 103-D (2): 329-338 (2020)An Energy-Efficient Task Scheduling for Near-Realtime Systems with Execution Time Variation., , , , , and . IEICE Trans. Inf. Syst., 100-D (10): 2493-2504 (2017)Energy-aware task scheduling for near real-time periodic tasks on heterogeneous multicore processors., , , , , , and . VLSI-SoC, page 1-6. IEEE, (2017)Low-power multi-sensor system with normally-off sensing technology for IoT applications., , , and . ISOCC, page 195-196. IEEE, (2016)A Cost-Effective 1T-4MTJ Embedded MRAM Architecture with Voltage Offset Self-Reference Sensing Scheme for IoT Applications., , , , , , , , , and . IEICE Trans. Electron., 102-C (4): 287-295 (2019)Energy-Efficient Continuous Task Scheduling for Near Real-Time Periodic Tasks., , , , , and . DSDIS, page 675-681. IEEE Computer Society, (2015)A Cost-Effective High Accuracy Auto-Trimming System without Tester Constraint for Low-End Embedded Flash Memory., , , , , , , and . ISOCC, page 48-49. IEEE, (2018)