Wearable flexible lightweight modular RFID tag with integrated energy harvester [PDF]
, 2016 A novel wearable radio frequency identification (RFID) tag with sensing, processing, and decision-taking capability is presented for operation in the 2.45-GHz RFID superhigh frequency (SHF) band.
Agneessens, Sam +5 more
core +2 more sources
Doubly Constrained Robust Blind Beamforming Algorithm
Journal of Applied Mathematics, 2013 We propose doubly constrained robust least-squares constant modulus algorithm (LSCMA) to solve the problem of signal steering vector mismatches via the Bayesian method and worst-case performance optimization, which is based on the mismatches between the ...
Xin Song, Jingguo Ren, Qiuming Li
doaj +1 more source
Fuzzy Logic Based Intelligent Data Sensitive Security Model for Big Data in Healthcare [PDF]
International Journal of Electronics and Telecommunications, 2022 An intelligent security model for the big data environment is presented in this paper. The proposed security framework is data sensitive in nature and the level of security offered is defined on the basis of the data secrecy standard.
Somya Dubey, Dhanraj Verma
doaj +1 more source
Robust, wearable, on-body antenna relying on half mode substrate integrated waveguide techniques [PDF]
, 2014 A compact, robust, wearable antenna for body-worn applications in the 2.4 GHz Industrial Medical and Scientific band is designed, fabricated and tested.
Agneessens, Sam +3 more
core +2 more sources
Robust Recursive Algorithm under Uncertainties via Worst-Case SINR Maximization
Journal of Electrical and Computer Engineering, 2015 The performance of traditional constrained-LMS (CLMS) algorithm is known to degrade seriously in the presence of small training data size and mismatches between the assumed array response and the true array response.
Xin Song +3 more
doaj +1 more source
A Comparative Study of RBF and MLP Neural Model for Seven Element Dynamic Phased Array Smart Antenna
Journal of Advances in Information Technology, 2013 In this paper we present the neural Modelling techniques for dynamic phased array smart antenna. Neural networks are mathematical and computation models that are used to optimize the smart antenna system, which are very much suitable for real time ...
Rahul Shrivastava +2 more
doaj +1 more source
Designing Smart Antennas Using Machine Learning Algorithms
Journal of Telecommunications and Information Technology, 2023 Smart antenna technologies improve spectral efficiency, security, energy efficiency, and overall service quality in cellular networks by utilizing signal processing algorithms that provide radiation beams to users while producing nulls for interferers ...
Barsa Samantaray +2 more
doaj +1 more source
Robust Schemes to Enhance Energy Consumption Efficiency for Millimeter Wave-Based Microcellular Network in Congested Urban Environments [PDF]
International Journal of Electronics and Telecommunications, 2021 Future wireless communication networks will be largely characterized by small cell deployments, typically on the order of 200 meters of radius/cell, at most. Meanwhile, recent studies show that base stations (BS) account for about 80 to 95 % of the total
MHD Nour Hindia +4 more
doaj +1 more source
Principal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure [PDF]
, 2013 A fundamental problem in structural damage detection is to define an efficient feature to calculate a damage index. Furthermore, due to perturbations from various sources, we also need to define a rigorous threshold whose overtaking indicates the ...
HAJRYA, Rafik, MECHBAL, Nazih
core +5 more sources
Dual-Band CPW Graphene Antenna for Smart Cities and IoT Applications
Sensors, 2022 In this paper, a dual-band graphene coplanar waveguide antenna is designed for smart cities and internet of things applications. A graphene film is chosen as the conductive material for the radiation patches and ground plane with a thickness of 240 μm ...
Nathaniel Morales-Centla +6 more
doaj +1 more source