Energy-efficient on-node signal processing for vibration monitoring [PDF]
In recent years, the use of wireless sensor networks for vibration monitoring is emphasized, because of its capability to continuously monitor at hard-to-reach locations of complex machines. Low power consumption is one of the main requirements for the sensor nodes in continuous and long-term vibration monitoring.
Andrea Sanchez Ramirez+4 more
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Full reconstruction of simplicial complexes from binary contagion and Ising data
Data-driven recovery of topology is challenging for networks beyond pairwise interactions. The authors propose a framework to reconstruct complex networks with higher-order interactions from time series, focusing on networks with 2-simplexes where social
Huan Wang+4 more
doaj +1 more source
Designing an efficient platform that enables verbal communication without vocalization remains a challenge. Here, the authors propose a silent speech interface by utilizing a deep learning algorithm combined with strain sensors attached near the subject ...
Taemin Kim+27 more
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Coupling of Gain Medium and Extraordinary Optical Transmission for Effective Loss Compensation
Gain mediums attract much attention due to their excellent amplification characteristics. However, the potential applications of gain mediums are severely limited because of the requirement of a high external energy to excite the media, thereby ...
Kaikun Niu+5 more
doaj +1 more source
1-D Convolutional Neural Network-Based Models for Cooperative Spectrum Sensing
Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users.
Omar Serghini+4 more
doaj +1 more source
Integrate-and-fire circuit for converting analog signals to spikes using phase encoding [PDF]
Processing sensor data with spiking neural networks on digital neuromorphic chips requires converting continuous analog signals into spike pulses. Two strategies are promising for achieving low energy consumption and fast processing speeds in end-to-end neuromorphic applications. First, to directly encode analog signals to spikes to bypass the need for
arxiv +1 more source
An Energy Scalable Functional Unit for Sensor Signal Processing [PDF]
Low power signal processing functionality is required for wireless sensor network nodes due to their limited battery life. Previously, we have proposed a reconfigurable array of DSP acceleration functional units for such a sensor node. The array maximizes operating life by matching system power consumption to available energy through power scalable ...
Rajeevan Amirtharajah+2 more
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A Critical Review of Robustness in Power Grids Using Complex Networks Concepts
This paper reviews the most relevant works that have investigated robustness in power grids using Complex Networks (CN) concepts. In this broad field there are two different approaches.
Lucas Cuadra+4 more
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Synchro-Transient-Extracting Transform for the Analysis of Signals with Both Harmonic and Impulsive Components [PDF]
Time-frequency analysis (TFA) techniques play an important role in the field of machine fault diagnosis attributing to their superiority in dealing with nonstationary signals. Synchroextracting transform (SET) and transient-extracting transform (TET) are two newly emerging techniques that can produce energy concentrated representation for nonstationary
arxiv +1 more source
System for powering autonomous solar cookers by batteries
In this paper, we propose innovative autonomous solar cookers (hot plates and box ovens) supplied by batteries. The electrical energy is produced by photovoltaic panels (PV) and stored in a battery (24 V, 520 Ah). Hence, the cookers are powered through a
A. Lamkaddem+6 more
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