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Low-power multi-sensor system with normally-off sensing technology for IoT applications.

, , , and . ISOCC, page 195-196. IEEE, (2016)

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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 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 normally-off sensing technology for IoT applications., , , and . ISOCC, page 195-196. IEEE, (2016)Energy-Efficient Continuous Task Scheduling for Near Real-Time Periodic Tasks., , , , , and . DSDIS, page 675-681. IEEE Computer Society, (2015)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)Normally-off MCU architecture for low-power sensor node., , , , and . ASP-DAC, page 12-16. IEEE, (2014)Highly Reliable Testing of ULSI Memories with On-Chip Voltage-Down Converters., , , , , , and . IEEE Des. Test Comput., 10 (2): 6-12 (1993)A Cost-Effective High Accuracy Auto-Trimming System without Tester Constraint for Low-End Embedded Flash Memory., , , , , , , and . ISOCC, page 48-49. IEEE, (2018)Data-aware power management for periodic real-time systems with non-volatile memory., , , , , , , , and . NVMSA, page 1-6. IEEE, (2014)