Results 121 to 130 of about 70,734 (340)

A Bayesian Compressive Data Gathering Scheme in Wireless Sensor Networks With One Mobile Sink

IEEE Access, 2018
This paper studies the compressive data gathering problem in terms of Bayesian theory for wireless sensor networks (WSNs) with a mobile sink. In such WSNs, designing an optimal tour path for sink is a challenge task, because topology is time-varying and ...
Xiangping Gu, Xiaofeng Zhou, Baohua Yuan, Yanjing Sun   +3 more
doaj   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Radio Tomographic Imaging Based on Low-Rank and Sparse Decomposition

IEEE Access, 2019
Imaging artifacts induced by the multipath interference in Radio-Frequency sensing network usually significantly degrade the performance of Radio Tomographic Imaging (RTI) and thereby has become a major challenge in the Device-Free Localization (DFL ...
Jiaju Tan, Qili Zhao, Xuemei Guo, Xin Zhao, Guoli Wang   +4 more
doaj   +1 more source

Bayesian compressive sensing with circulant matrix for spectrum sensing in cognitive radio networks [PDF]

, 2016
Fatima Salahdine, Naima Kaabouch, Hassan El Ghazi   +2 more
openalex   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

A High-Resolution Algorithm for Supraharmonic Analysis Based on Multiple Measurement Vectors and Bayesian Compressive Sensing

Energies, 2019
Supraharmonics emitted by electrical equipment have caused a series of electromagnetic interference in power systems. Conventional supraharmonic analysis algorithms, e.g., discrete Fourier transform (DFT), have a relatively low frequency resolution with ...
Shuangyong Zhuang, Wei Zhao, Qing Wang, Zhe Wang, Lei Chen, Songling Huang   +5 more
doaj   +1 more source

Bayesian signal reconstruction for 1-bit compressed sensing [PDF]

, 2014
Yingying Xu, Yoshiyuki Kabashima, Lenka Zdeborová   +2 more
openalex   +1 more source

Inference of Hydrogen RedOx Reactions Models using Bayesian Compressive Sensing.

, 2021
Luke Boll, Katherine Johnston, Anthony H. McDaniel, Ellen B. Stechel, Bert Debusschere   +4 more
openalex   +2 more sources

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source

Robust Bayesian compressed sensing over finite fields: asymptotic performance analysis [PDF]

, 2014
Wenjie Li, Francesca Bassi, Michel Kieffer   +2 more
openalex   +1 more source