Results 91 to 100 of about 77,225 (286)

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Model predictive control with adjustable switching frequency for induction motor drives based on three‐dimensional satisfaction space optimisation

IET Electric Power Applications
This paper proposes a model predictive control strategy for induction motors driven by three‐level inverters, enabling effective switching frequency adjustment.
Bo Yang, Xiang Wu, Yu Tian, Zhikang Guo, Xu Zhang, Guojun Tan   +5 more
doaj   +1 more source

Seismic analysis and design of tunnels within fault ground: A review

Deep Underground Science and Engineering, EarlyView.
The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang, Yujing Jiang, Xuepeng Zhang, Yuyong Jiao, Ningbo Li, Xiao Wang, Bo Li   +6 more
wiley   +1 more source

Asynchronous Bidirectional Decoding for Neural Machine Translation

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation. Traditionally, the NMT decoders adopt recurrent neural networks (RNNs) to perform translation in a left-to-right manner, leaving the target-side contexts generated from right to left unexploited during ...
Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu 0005, Rongrong Ji, Hongji Wang   +5 more
openaire   +2 more sources

Spin‐Driven Electrocatalysis for Metal–Sulfur Batteries

EcoEnergy, EarlyView.
This review presents a comprehensive overview of spin‐driven electrocatalysis for cathodes and anodes in metal–sulfur batteries, covering the fundamental mechanism, regulation strategies, and the related characterization techniques for tracking these variations. The insightful perspectives and future research directions for spin effects in metal–sulfur
Boyang Song, Meng Zhang, Xinpeng Zhao, Ying Jiang, Kai Ge, Kwan San Hui, Kwun Nam Hui, Zhengqing Ye   +7 more
wiley   +1 more source

CALCULATIONS OF DYNAMIC OPERATING MODES OF ELECTRIC DRIVES OF SELF-PROPELLED MINING MACHINES

Записки Горного института, 2018
The task of improving the calculations of the dynamic modes of electric drives of self-propelled mining machines, particulary, tunneling machines, is considered. Attention is drawn to the possibility to opearte in dynamic modes of a spatial change in the
E. K. Eshchin
doaj   +1 more source

Modula-2*: An extension of Modula-2 for highly parallel programs [PDF]

Parallel programs should be machine-independent, i.e., independent of properties that are likely to differ from one parallel computer to the next.
Herter, Christian G., Tichy, Walter F.
core   +1 more source

Optimizing Electric Vehicle Charging Scheduling With Deep Q Networks and Long Short‐Term Memory‐Based Electricity and Battery State of Charge Prediction

Energy Science &Engineering, EarlyView.
Schematic diagram showing the proposed approach for EV charging/discharging. ABSTRACT The number of electric vehicles (EVs) on the road is rising as a result of recent advancements in EV technology, and EVs are important to the smart grid economy. Demand response schemes involving electric vehicles have the potential to dramatically reduce the cost of ...
F. Zonuntluanga, Subhasish Deb, Kshetrimayum Robert Singh, Subir Datta, Ahmet Onen, Taha Selim Ustun, Jaesung Jung   +6 more
wiley   +1 more source

Mathematical modeling of physical processes in the complex for testing of induction machines

MATEC Web of Conferences, 2018
The paper is devoted to the simulation of the test complex designed for energy-efficient load testing of induction machines by the method of mutual load with the exchange of electrical energy through the network.
Kharlamov Viktor, Popov Denis
doaj   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source