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When Sensor-Cloud Meets Mobile Edge Computing
Sensor-clouds are a combination of wireless sensor networks (WSNs) and cloud computing. The emergence of sensor-clouds has greatly enhanced the computing power and storage capacity of traditional WSNs via exploiting the advantages of cloud computing in ...
Anfeng Liu, Tian Wang, Xi Zheng
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Near-sensor and in-sensor computing
Nature Electronics, 2020The number of nodes typically used in sensory networks is growing rapidly, leading to large amounts of redundant data being exchanged between sensory terminals and computing units. To efficiently process such large amounts of data, and decrease power consumption, it is necessary to develop approaches to computing that operate close to or inside sensory
Feichi Zhou, Yang Chai
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Computational image sensor for on sensor compression
IEEE Transactions on Electron Devices, 1997In this paper, we propose novel image sensors which compress image signal. By making use of very fast analog processing on the imager plane, the compression sensor can significantly reduce the amount of pixel data output from the sensor. The proposed sensor is intended to overcome the communication bottle neck for high pixel rate imaging such as high ...
T. Hamamoto +6 more
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Sensors for brain-computer interfaces
IEEE Engineering in Medicine and Biology Magazine, 2006Brain-computer interfaces (BCIs) hold the promise to restore mobility and independence to persons with paralysis. In spinal cord injury, brainstem stroke, and a host of neuromuscular disorders, the intact brain is "disconnected" from its intact target (such as a limb or the facial musculature), preventing mobility and - in locked-in syndrome and severe
Leigh R, Hochberg, John P, Donoghue
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Computing cryptographic pairing in sensors
ACM SIGBED Review, 2008In this paper, we present a methodology and preliminary result of computing the Tate Pairing on a supersingular curve over a prime field in the wireless sensors (MICAz Mote). The aim of this work is to study the feasibility of pairing based protocols and applications in sensors with limited computational resources.
Zhibin Zhou 0001, Dijiang Huang
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Reflective surfaces as computational sensors
Image and Vision Computing, 2001Abstract We present a family of reflective surfaces that will provide a wide field of view while preserving the geometry of a plane perpendicular to their axis of symmetry. Used in conjunction with a conventional imaging device, these surfaces act as computational sensors capable of providing unwarped images automatically, eliminating the need for ...
R. Andrew Hicks, Ruzena Bajcsy
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Metaphotonic Computational Image Sensors
Imaging and Applied Optics Congress, 2020Metasurfaces created via multi-scale inverse electromagnetic design method, coupled with computational techniques can create ultra-compact, low-power and low-latency image sensor. We will show our work on such sensors for imaging and depth sensing.
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