Results 41 to 50 of about 991 (247)

Fog-Enabled Vehicle as a Service for Computing Geographical Migration in Smart Cities

IEEE Access, 2019
The diverse applications and high-quality services in smart cities have led to the geographical unbalance of computation requirements. Traditional centralized cloud computing services and the massive migration of computing tasks result in the increase of
Siyi Liao, Jianhua Li, Jun Wu, Wu Yang, Zhitao Guan   +4 more
doaj   +1 more source

A Repeated Unknown Game: Decentralized Task Offloading in Vehicular Fog Computing

IEEE Transactions on Vehicular Technology, 2023
Offloading computation to nearby edge/fog computing nodes, including the ones carried by moving vehicles, e.g., vehicular fog nodes (VFN), has proved to be a promising approach for enabling low-latency and compute-intensive mobility applications, such as cooperative and autonomous driving. This work considers vehicular fog computing scenarios where the
Xiao, Yu, Cho, Byungjin
openaire   +4 more sources

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Efficient Blockchain-Based Pseudonym Authentication Scheme Supporting Revocation for 5G-Assisted Vehicular Fog Computing

IEEE Access
The driving experience in fifth-generation (5G)-assisted vehicular fog computing systems has improved thanks to recent advancements in intelligent transportation. However, in the present vehicular system setup, the phenomenon of providing low computation
Badiea Abdulkarem Mohammed, Mahmood A. Al-Shareeda, Abeer Abdullah Alsadhan, Zeyad Ghaleb Al-Mekhlafi, Amer A. Sallam, Bassam Ali Al-Qatab, Mohammad T. Alshammari, Abdulaziz M. Alayba   +7 more
doaj   +1 more source

Fundamentals of Thermal Transport and Energy Conversion in Ultra‐High Temperature Ceramics: From Microscale Mechanisms to Macroscopic Properties

Advanced Science, EarlyView.
This review critically examines thermal transport and radiative properties of ultra‐high temperature ceramics for hypersonic flight, advanced nuclear systems, and next‐generation energy conversion devices. It explores phonon–photon–electron interactions, microstructural engineering, thermoelectric conversion, and machine learning‐accelerated multiscale
Zhipeng Pei, Yue Li, Jiayu Xing, Yue Zhu, Ru Zhang, Huan Wu, Zihao Qin, Gang Pei, Man Li   +8 more
wiley   +1 more source

Vehicular Fog Resource Allocation Approach for VANETs Based on Deep Adaptive Reinforcement Learning Combined With Heuristic Information

IEEE Access
Intelligent Transport Systems (ITS) are gradually progressing to practical application because of the rapid growth in network and information technology.
Yunli Cheng, A. Vijayaraj, Kiran Sree Pokkuluri, Taybeh Salehnia, Ahmadreza Montazerolghaem, Roqia Rateb   +5 more
doaj   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Fog Following Me: Latency and Quality Balanced Task Allocation in Vehicular Fog Computing [PDF]

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2018
Emerging vehicular applications, such as real-time situational awareness and cooperative lane change, demand for sufficient computing resources at the edge to conduct time-critical and data-intensive tasks. This paper proposes Fog Following Me (Folo), a novel solution for latency and quality balanced task allocation in vehicular fog computing.
Pastor Figueroa, Giancarlo, Xiao, Yu, Li, Yong, Ylä-Jääski, Antti, Zhu, Chao   +5 more
openaire   +3 more sources

Long‐Term Ambient Benzene Exposure and Brain Disorders Among Urban Adults: Effect Modification by Genetic Susceptibility and Potential Mediation by Plasma Proteins

Advanced Science, EarlyView.
Low‐level ambient benzene exposure is associated with increased risks of multiple brain disorders in urban adults. Genetic susceptibility modifies these associations, while plasma proteomics points to potential biological pathways linking benzene exposure to adverse brain health.
Jianhui Guo, Xia Zhong, Petros Koutrakis, Carolina L. Zilli Vieira, Feifei Si, Yaqi Wang, Xinyao Lian, Yi Fan, Zhaokun Wang, Shaodan Huang, Jing Li   +10 more
wiley   +1 more source

Fog-Based Crime-Assistance in Smart IoT Transportation System

IEEE Access, 2018
Smart transportation safety (STS) envisions improving public safety through a significant paradigm shift for police authority responses on crimes toward a pro-active one. The application of smart surveillance in STS is critical for automatic and accurate
Augusto J. V. Neto, Zhongliang Zhao, Joel J. P. C. Rodrigues, Hugo Barros Camboim, Torsten Braun   +4 more
doaj   +1 more source