Results 41 to 50 of about 94,415 (307)
Vehicle-to-Vehicle Secure Communication Protocol Based on Digital Vehicle Identification Number
Establishing secure vehicular communication is essential for the development of autonomous driving capabilities and to make new functionalities possible, such as smart traffic management, or systems aimed at avoiding or mitigating traffic accidents.
Pablo Escapa Gordón +2 more
doaj +1 more source
Vehicle-To-Vehicle Communication
The purpose of this paper is to address the pressing road safety issues that plague our country. Unfortunately, a high number of fatalities result from accidents on the road. To combat this problem, this paper proposes the implementation of a Vehicle-to-Vehicle (V2V) communication protocol that will allow vehicles to communicate wirelessly with one ...
null Jirange Snehal +4 more
openaire +1 more source
Contains fulltext : 158906.pdf (Publisher’s version ) (Open Access)The aim of this paper is to study the impacts of bottom-up information provision about on-street parking places on parking dynamics under heterogeneous conditions. Using
Tasseron, G. +2 more
core +1 more source
5‐Aminolevulinic acid combined with ferric ammonium citrate (5‐ALA/FAC) stimulates dermal papilla cell activity and promotes hair follicle growth. The treatment enhances ERK and AKT signaling, increases hair‐inductive gene expression, and restores dermal papilla function suppressed by dihydrotestosterone and oxidative stress, resulting in enhanced hair
Han‐Wook Ryu, Eok‐Soo Oh, Sewoon Kim
wiley +1 more source
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source
Traffic Forecasting using Vehicle-to-Vehicle Communication
We take the first step in using vehicle-to-vehicle (V2V) communication to provide real-time on-board traffic predictions. In order to best utilize real-world V2V communication data, we integrate first principle models with deep learning. Specifically, we train recurrent neural networks to improve the predictions given by first principle models.
Steven Wong +5 more
openaire +3 more sources
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Among the most severe crash scenarios are those caused by driver’s decisions to manoeuvre the vehicle to the adjacent lanes. In most scenarios, drivers’ intentionally change lanes to take over another slower vehicle and preserving the current vehicle ...
Ren, Tee Yee +9 more
core +3 more sources
A Review of Vehicle to Vehicle Communication Protocols for VANETs in the Urban Environment [PDF]
Vehicular Ad-hoc Networks (VANETs) have been gaining significant attention from the research community due to their increasing importance for building an intelligent transportation system.
Irshad Abbasi +2 more
core +2 more sources
The effects of RF impairments in vehicle-to-vehicle communications [PDF]
Radio frequency (RF) front-ends constitute a fundamental part of both conventional and emerging wireless communication systems. However, in spite of their importance they are often assumed ideal, although they are practically subject to certain detrimental impairments, such as amplifier nonlinearities, phase noise and in phase and quadrature (I/Q ...
Alexandros-Apostolos A. Boulogeorgos +4 more
openaire +1 more source

