Browsing by Author "Emery, S."
Now showing items 1-11 of 11
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A 0.5 V 2.5 uW/MHz Microcontroller with Analog-Assisted Adaptive Body Bias PVT Compensation with 3.13nW/kB SRAM Retention in 55nm Deeply-Depleted Channel CMOS
Pons, M.; Müller, C. T.; Ruffieux, D.; Nagel, J.; Emery, S.; Burg, A.; Tanahashi, S.; Tanaka, Y.; Takeuchi, A. (2019)Microcontroller systems operating at low supply voltage in near or sub-threshold regime suffer both from increased effects of PVT (Process, Voltage, Temperature) variation and from a larger share of leakage on overall power ... -
A 20 Channel EMG SoC with an Integrated 32b RISC Core for Real-Time Wireless Prosthetic Control
Sole, M. P.; Badami, K.; Deng, J.; Mavrogordatos, T.; Azarkhish, E.; Zahnd, L.; Cosentino, C.; Augustyniak, M.; Zha, Y.; Bischof, A.; Bergamini, L.; Dallemagne, P.; Emery, S. (2019)This work introduces a highly integrated and a power-efficient SoC with 20 EMG sensing channels, a 32b RISC core with a host of peripherals and a companion RF transceiver chip in the 55 nm CMOS technology to enable real-time ... -
A Sub-mW Dual-Engine ML Inference System-on-Chip for Complete End-to-End Face-Analysis at the Edge
Jokic, P.; Azarkhish, E.; Cattenoz, R.; Türetken, E.; Benini, L.; Emery, S. (2021-06) -
Battery-Less Face Recognition at the Extreme Edge
Jokic, P.; Emery, S.; Benini, L. (2021-06) -
Comparison Of Capacitive DAC Architectures for Power and Area Efficient SAR ADC Designs
Ahuja, A.; Badami, K.; Barbelenet, C.; Emery, S. (2021-05) -
Energy-Autonomous MCU Operating in sub-VT Regime with Tightly-Integrated Energy-Harvester : A SoC for IoT smart nodes containing a MCU with minimum-energy point of 2.9pJ/cycle and a harvester with output power range from sub-µW to 4.32mW
Deng, J.; Nagel, J.; Zahnd, L.; Pons, M.; Ruffieux, D.; Arm, C.; Persechini, P.; Emery, S. (2019)We describe a SoC achieving zero-net-energy operation by using energy harvesting and sub-threshold design. It consists of a microcontroller for data acquisition, data processing, and communication and an energy harvester ... -
Improving Memory Utilization in Convolutional Neural Network Accelerators
Jokic, P.; Emery, S.; Benini, L. (2020-03) -
Minimum Energy Point in Constant Frequency Designs under Adaptive Supply Voltage and Body Bias Adjustment in 55 nm DDC
Muller, C. T.; Pons, M.; Ruffieux, D.; Nagel, J. L.; Emery, S.; Burg, A.; et al. (2019)In this paper, we describe a systematic low-power design methodology for technologies that offer a strong body factor. Specifically, we explore both the body bias voltage and the supply voltage knobs in order to find the ... -
NN2CAM: Automated Neural Network Mapping for Multi-Precision Edge Processing on FPGA-Based Cameras
Jokic, P.; Emery, S.; Benini, L. (2021-06) -
Single-Battery Cooperative Sensors For Multi-Lead Long Term Ambulatory ECG Measurement
Badami, K.; Pons-Sole, M.; Azarkhish, E.; Fivaz, A.; Rapin, M.; Chételat, O.; Emery, S. (2021-10) -
Technologien für energieautarke Anwendungen
Emery, S.; Krieger, M. (2016)Das Internet of Things (IoT) wird oft als die Zukunftshoffnung für neue industrielle Wertschöpfung und Innovation dargestellt. Dies trifft speziell für energieautarke IoT-Produkte zu. Das CSEM bietet hier Hand.