Philipp Mayer


Last Name

Mayer

First Name

Philipp

ORCID

0000-0002-4554-7937

Organisational unit

01225 - D-ITET Zentr. f. projektbasiertes Lernen / D-ITET Center for Project-Based Learning

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2017 - 2019122020 - 202537
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Publications 1 - 10 of 49
  • Energy-autonomous On-rotor RPM Sensor Using Variable Reluctance Energy Harvesting
    Item type: Conference Paper
    Xu, Ye; Bader, Sebastian; Magno, Michele; et al. (2019)
    2019 IEEE 8th International Workshop on Advances in Sensors and Interfaces (IWASI)
  • Predictive Energy-Aware Adaptive Sampling with Deep Reinforcement Learning
    Item type: Conference Paper
    Heo, Seonyeong; Mayer, Philipp; Magno, Michele (2022)
    2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
    Energy harvesting can enable wireless smart sensors to be self-sustainable by allowing them to gather energy from the environment. However, since the energy availability changes dynamically depending on the environment, it is difficult to find an optimal energy management strategy at design time. One existing approach to reflecting dynamic energy availability is energy-aware adaptive sampling, which changes the sampling rate of a sensor according to the energy state. This work proposes deep reinforcement learning-based predictive adaptive sampling for a wireless sensor node. The proposed approach applies deep reinforcement learning to find an effective adaptive sampling strategy based on the harvesting power and energy level. In addition, the proposed approach enables predictive adaptive sampling by designing adaptive sampling models that consider the trend of energy state. The evaluation results show that the predictive models can successfully manage the energy budget reflecting dynamic energy availability, maintaining a stable energy state for a up to 11.5% longer time.
  • A Self-Sustaining Micro-Watt Programmable Smart Audio Sensor for Always-On Sensing
    Item type: Conference Paper
    Magno, Michele; Mayer, Philipp; Benini, Luca (2018)
    Proceedings of the 9th International Green and Sustainable Computing Conference (IGSC 2018)
  • A Battery-Free Long-Range Wireless Smart Camera for Face Detection
    Item type: Conference Paper
    Giordano, Marco; Mayer, Philipp; Magno, Michele (2020)
    ENSsys '20: Proceedings of the 8th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
    This paper presents a battery-free smart camera that combines tiny machine learning, long-range communication, power management, and energy harvesting. The smart sensor node has been implemented and evaluated in the field, showing both battery-less capabilities with a small-size photovoltaic panel and the energy efficiency of the proposed solution. We evaluated two different ARM Cortex-M4F microcontrollers, the Ambiq Apollo 3 that is an energy-efficient microcontroller, and a Microchip SAMD51 able to work in high radiation environments but with a higher power in active mode. Finally, a low power LoRa module provides the long-range wireless transmission capability. The tiny machine learning algorithm for face recognition has been optimized in terms of accuracy versus energy, achieving up to 97% accuracy recognizing five different faces. Experimental results demonstrated the capability of the developed sensor node to start from the cold start after 1 minute at a very low luminosity of 350 lux using a cm size flexible photovoltaic panels and work perpetually after the cold start. © 2020 Association for Computing Machinery.
  • A2Event: A Micro-Watt Programmable Frequency-Time Detector for Always-On Energy-Neutral Sensing
    Item type: Journal Article
    Mayer, Philipp; Magno, Michele; Benini, Luca (2020)
    Sustainable Computing: Informatics and Systems
  • System Implementation Trade-Offs for Low-Speed Rotational Variable Reluctance Energy Harvesters
    Item type: Journal Article
    Xu, Ye; Bader, Sebastian; Magno, Michele; et al. (2021)
    Sensors
    Low-power energy harvesting has been demonstrated as a feasible alternative for the power supply of next-generation smart sensors and IoT end devices. In many cases, the output of kinetic energy harvesters is an alternating current (AC) requiring rectification in order to supply the electronic load. The rectifier design and selection can have a considerable influence on the energy harvesting system performance in terms of extracted output power and conversion losses. This paper presents a quantitative comparison of three passive rectifiers in a low-power, low-voltage electromagnetic energy harvesting sub-system, namely the full-wave bridge rectifier (FWR), the voltage doubler (VD), and the negative voltage converter rectifier (NVC). Based on a variable reluctance energy harvesting system, we investigate each of the rectifiers with respect to their performance and their effect on the overall energy extraction. We conduct experiments under the conditions of a low-speed rotational energy harvesting application with rotational speeds of 5 rpm to 20 rpm, and verify the experiments in an end-to-end energy harvesting evaluation. Two performance metrics—power conversion efficiency (PCE) and power extraction efficiency (PEE)—are obtained from the measurements to evaluate the performance of the system implementation adopting each of the rectifiers. The results show that the FWR with PEEs of 20% at 5 rpm to 40% at 20 rpm has a low performance in comparison to the VD (40–60%) and NVC (20–70%) rectifiers. The VD-based interface circuit demonstrates the best performance under low rotational speeds, whereas the NVC outperforms the VD at higher speeds (>18 rpm). Finally, the end-to-end system evaluation is conducted with a self-powered rpm sensing system, which demonstrates an improved performance with the VD rectifier implementation reaching the system’s maximum sampling rate (40 Hz) at a rotational speed of approximately 15.5 rpm.
  • ZeroPowerTouch: Zero-Power Smart Receiver for Touch Communication and Sensing in Wearable Applications
    Item type: Conference Paper
    Mayer, Philipp; Strebel, Raphael; Magno, Michele (2019)
    Proceedings of the 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • A Passive and Asynchronous Wake-up Receiver for Acoustic Underwater Communication
    Item type: Conference Paper
    Schulthess, Lukas; Mayer, Philipp; Benini, Luca; et al. (2024)
    2024 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
    Establishing reliable data exchange in an underwater domain using energy and power-efficient communication methods is crucial and challenging. Radio frequencies are absorbed by the salty and mineral-rich water and optical signals are obstructed and scattered after short distances. In contrast, acoustic communication benefits from low absorption and enables communication over long distances. Underwater communication must match low power and energy requirements as underwater sensor systems must have a long battery lifetime and need to work reliably due to their deployment and maintenance cost. For long-term deployments, the sensors' overall power consumption is determined by the power consumption during idle state. It can be reduced by integrating asynchronous always-on wake-up circuits with nano-watt power consumption. However, this approach does reduce but not eliminate idle power consumption, leaving a margin for improvement.
  • Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images
    Item type: Conference Paper
    Moosmann, Julian; Mandula, Jakub; Mayer, Philipp; et al. (2023)
    2023 IEEE SENSORS
    Event-based cameras, also called silicon retinas, potentially revolutionize computer vision by detecting and reporting significant changes in intensity asynchronous events, offering extended dynamic range, low latency, and low power consumption, enabling a wide range of applications from autonomous driving to longtime surveillance. As an emerging technology, there is a notable scarcity of publicly available datasets for event-based systems that also feature frame-based cameras, in order to exploit the benefits of both technologies. This work quantitatively evaluates a multi-modal camera setup for fusing high-resolution DVS data with RGB image data by static camera alignment. The proposed setup, which is intended for semi-automatic DVS data labeling, combines two recently released Prophesee EVK4 DVS cameras and one global shutter XIMEA MQ022CG-CM RGB camera. After alignment, state-of-the-art object detection or segmentation networks label the image data by mapping boundary boxes or labeled pixels directly to the aligned events. To facilitate this process, various time-based synchronization methods for DVS data are analyzed, and calibration accuracy, camera alignment, and lens impact are evaluated. Experimental results demonstrate the benefits of the proposed system: the best synchronization method yields an image calibration error of less than 0.90px and a pixel cross-correlation deviation of1.6px, while a lens with 8mm focal length enables detection of objects with size 30cm at a distance of 350m against homogeneous background.
  • Poster Abstract: Battery-free and Passive Wake-up Receiver for Underwater Communication
    Item type: Other Conference Item
    Schulthess, Lukas; Mayer, Philipp; Magno, Michele (2023)
    IoTDI '23: Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation
    Underwater Wireless Networks (UWNs), together with Underwater Wireless Sensor Nodes (UWSNs), are key enablers for various underwater activities in the fields of research, surveillance, rescue, and even military usage. In order to fulfill their mission in remote areas and harsh environments, UWSNs must meet high standards. Since the deployment of such a device is very costly and labor extensive, a long lifetime, high reliability, as well as no maintenance, are highly desirable. However, to achieve this goal, the overall power consumption of a UWSN needs to be reduced. By combining energy harvesting capabilities with a power-efficient wake-up circuit, the constant power drain in idle state can be heavily reduced, and even prevented. This paper presents a maintenance free and energy-neutral wake-up receiver for underwater communication that targets the challenge of the energy limitations of underwater communication frontends with the potential to expand the usability of the Internet of Things (IoT) beyond the water surface. This is achieved by hybrid energy and information transmission combined with a passive wake-up receiver that entirely eliminates radio frontend idle consumption.
Publications 1 - 10 of 49