In the last decade, there has been a surge of research interest in feature extraction using random sampling. These techniques are fast and scalable and, at the same time, have practical favorability in low-sample size...
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In the last decade, there has been a surge of research interest in feature extraction using random sampling. These techniques are fast and scalable and, at the same time, have practical favorability in low-sample size and high-dimensional training data. Convolutional Kitchen Sinks-based methods are promising random feature extractors for time series data. Since these methods are data-independent, many of the extracted features are redundant. To address this problem, we propose a simple and efficient feature selection method based on knee/elbow detection in the curve of ordered coefficients in linear regression. Our empirical studies show that without significant loss in accuracy, the proposed feature selector, on average, prunes more than 84 percent of randomly generated features.
Gamification is a promising approach with expanding applications in academia and industry. Gamification techniques can increase psychological and behavioral engagement with a particular domain with the help of game el...
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We present a novel approach that tracks and localizes hidden signal inside or behind scattering media. The method combines traditional feedback based wavefront shaping with a switch function that utilizes two differen...
In the past few years,triboelectric nanogenerator-based(TENG-based)hybrid generators and systems have experienced a widespread and flourishing development,ranging among almost every aspect of our lives,e.g.,from indus...
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In the past few years,triboelectric nanogenerator-based(TENG-based)hybrid generators and systems have experienced a widespread and flourishing development,ranging among almost every aspect of our lives,e.g.,from industry to consumer,outdoor to indoor,and wearable to implantable *** TENG technology has been extensively investigated for mechanical energy harvesting,most developed TENGs still have limitations of small output current,unstable power generation,and low energy utilization rate of multisource *** harvest the ubiquitous/coexisted energy forms including mechanical,thermal,and solar energy simultaneously,a promising direction is to integrate TENG with other transducing mechanisms,e.g.,electromagnetic generator,piezoelectric nanogenerator,pyroelectric nanogenerator,thermoelectric generator,and solar cell,forming the hybrid generator for synergetic single-source and multisource energy *** resultant TENG-based hybrid generators utilizing integrated transducing mechanisms are able to compensate for the shortcomings of each mechanism and overcome the above limitations,toward achieving a maximum,reliable,and stable output ***,in this review,we systematically introduce the key technologies of the TENG-based hybrid generators and hybridized systems,in the aspects of operation principles,structure designs,optimization strategies,power management,and system *** recent progress of TENG-based hybrid generators and hybridized systems for the outdoor,indoor,wearable,and implantable applications is also ***,we discuss our perspectives on the future development trend of hybrid generators and hybridized systems in environmental monitoring,human activity sensation,human-machine interaction,smart home,healthcare,wearables,implants,robotics,Internet of things(IoT),and many other fields.
The increasing adoption of Electric Vehicles (EVs) and the expansion of charging infrastructure and their reliance on communication expose Electric Vehicle Supply Equipment (EVSE) to cyberattacks. This paper presents ...
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5G is projected to be the dominating technology for mobile networks in the next years. The deployment of 5G is expected to substantially raise power density levels, which are necessary to cover a specific area of conc...
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Recently, compression of intermediate data has been proposed to accelerate of memory and I/O intensive high-performance computing (HPC) applications. Accelerator-based com- pression/decompression is proposed to hide t...
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Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this...
Codes for correcting sticky insertions/deletions and limited-magnitude errors have attracted significant attention due to their applications of flash memories, racetrack memories, and DNA data storage systems. In this paper, we first consider the error type of t sticky deletions with ℓ-limited-magnitude and propose a non-systematic code for correcting this type of error with redundancy 2t(1 − 1/p) • log(n + 1) + O(1), where p is the smallest prime larger than ℓ + 1. Next, we present a systematic code construction with an efficient encoding and decoding algorithm with redundancy $\frac{{\left\lceil {2t(1 - 1/p)} \right\rceil \cdot \left\lceil {\log p} \right\rceil }}{{\log p}}\log (n + 1) + O(\log \log n)$, where p is the smallest prime larger than ℓ + 1.
Neuromorphic communications deploys spiking neural networks (SNNs) to encode and decode semantic information, reducing the communication power by communicating asynchronously via sparse impulse radio (IR) waveforms. T...
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ISBN:
(数字)9798350393187
ISBN:
(纸本)9798350393194
Neuromorphic communications deploys spiking neural networks (SNNs) to encode and decode semantic information, reducing the communication power by communicating asynchronously via sparse impulse radio (IR) waveforms. This way, the input signal sparsity translates directly into energy savings both in terms of computation and communication. However, with IR transmission, the main contributor to the overall energy consumption remains the power required to maintain the main radio on at the receiver. This work introduces a novel architecture that integrates a wake-up radio mechanism with neuromorphic communications. In this architecture, the main receiver remains idle until a signal of interest is detected, and a wake-up signal is received by the wake-up receiver. Experimental results confirms the advantages of the proposed architecture in terms of expected loss and energy consumption.
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