Results 71 to 80 of about 2,537,645 (154)

A Simplified Algorithm for Joint Real-Time Synchronization, NLoS Identification, and Multi-Agent Localization [PDF]

open access: yes
Real-time, high-precision localization in large-scale wireless networks faces two primary challenges: clock offsets caused by network asynchrony and non-line-of-sight (NLoS) conditions.
Fan, Jie   +5 more
core   +1 more source

Unripe Banana Genotypes are Starchy Sources. Part I. Morphology, Growth Rings, and Ultrastructure of Native Starches

open access: yesStarch - Stärke, Volume 78, Issue 10, October 2026.
Unripe banana flour is a starch source with a high content of resistant starch in its raw form. Recently, interest has grown in raw materials with low levels of indigestible carbohydrates. Different banana genotypes vary in granule morphology, which influences their functional properties and digestibility.
Josué Moreno‐Zaragoza   +5 more
wiley   +1 more source

Substituent‐Driven Modulation of Electronic Properties in Acrylonitrile Derivatives: A Combined Study on NLO Response and DNA‐Binding Affinity via ECT Analysis

open access: yesInternational Journal of Quantum Chemistry, Volume 126, Issue 18, September 15, 2026.
Theoretical (DFT) and experimental investigations elucidate the structural, electronic, and optical properties of a newly synthesized fluorinated organic semiconductor. The optimized frontier orbital alignment and robust molecular architecture demonstrate its suitability for advanced optoelectronic applications.
Furkan Özen   +4 more
wiley   +1 more source

Novel high performance MIMO-OFDM based measures for NLOS identification in time-varying frequency and space selective channels

open access: yes, 2012
This paper proposes new measures for non-line-ofsight (NLOS) identification in wireless localization systems. The measures are defined based on the space-time-frequency channel correlation features of multi-input multi-output (MIMO) orthogonal frequency ...
Zekavat, Seyed A.   +3 more
core   +1 more source

Reversible Hydration Tuning of Polar Order and Large Nonlinear Optical Response in a 2D van der Waals Crystal, LiInP2S6

open access: yesAdvanced Materials, Volume 38, Issue 52, 16 September 2026.
Hydration‐induced symmetry breaking transforms layered LiInP2S6${\rm LiInP}_2{\rm S}_6$ from a nonpolar to a chiral‐polar phase, producing a giant enhancement of non‐resonant second‐harmonic generation. The reversible tuning of polar order through molecular intercalation establishes a strategy for dynamically controlling nonlinear optical ...
Jadupati Nag   +8 more
wiley   +1 more source

Recognition of Blocking Categories for UWB Positioning in Complex Indoor Environment

open access: yesSensors, 2020
The recognition of non-line-of-sight (NLOS) state is a prerequisite for alleviating NLOS errors and is crucial to ensure the accuracy of positioning.
Yaguang Kong   +3 more
doaj   +1 more source

Mobile Localization And Tracking With Los And Nlos Identification In Wireless Sensor Networks

open access: yes, 2016
This paper addresses the problem of mobile sensor localization and tracking in an obstructed environment. To solve this problem, a combination of three approaches is proposed: a nonlinear Kalman Filter to estimate the mobile position, a sub filter used ...
M. Keche, Y. K. Benkouider
core   +1 more source

UWB Indoor Localization Based on XGBoost NLOS Identification and DS-TWR Ranging [PDF]

open access: yesRadioengineering
Indoor environments present significant challenges for ultra-wideband (UWB) localization due to ranging errors and non-line-of-sight (NLOS) propagation.
X. Yao Z. Xu, G. Liu
doaj  

A Post-Processing Multipath/NLoS Bias Estimation Method Based on DBSCAN

open access: yesSensors
Positioning based on Global Navigation Satellite Systems (GNSSs) in urban environments always suffers from multipath and Non-Line-of-Sight (NLoS) effects. In such conditions, the GNSS pseudorange measurements can be affected by biases disrupting the GNSS-
Yihan Guo   +3 more
doaj   +1 more source

Improving Deep Learning-Based UWB LOS/NLOS Identification with Transfer Learning: An Empirical Approach

open access: yes, 2020
This paper presents an improved ultra-wideband (UWB) line of sight (LOS)/non-line of sight (NLOS) identification scheme based on a hybrid method of deep learning and transfer learning.
SungChan Nam   +4 more
core   +1 more source

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