Results 71 to 80 of about 14,424 (285)

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

open access: yesEnergy 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   +2 more
wiley   +1 more source

Outage probability of multiuser cognitive MIMO system

open access: yesTongxin xuebao, 2009
To analyze the multi-antenna gain in multiuser cognitive radio system, a multiuser cognitive MIMO framework was presented. The outage performance was considered in the multiple-antenna flat Raleigh fading broadcast downlink channel and the closed-form ...
WU Ying-xiao1, ZHU Qi2
doaj   +2 more sources

Analysis for Outage Probability of Two-hop Relay Cooperative Heterogeneous Networks [PDF]

open access: yesJisuanji gongcheng, 2019
Based on the Maximum-Maximum User Pair Association(MM-UPA) criterion,the outage performance of two-hop relay cooperative heterogeneous networks is studied.By means of stochastic geometry and probability statistics,the spatial location of network nodes is
XIE Mangang,JIA Xiangdong,ZHOU Meng,YANG Xiaorong,HAN Conghui
doaj   +1 more source

A Resilience‐Based Reward‐Penalty Scheme for Hardening Electricity Distribution Assets Against High‐Impact, Low‐Probability Disasters

open access: yesEnergy Science &Engineering, EarlyView.
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley   +1 more source

On the Feasibility and Optimization of Providing Delay Sensitive Services Based on Bluetooth Low Energy Advertising Technology

open access: yesIEEE Access
Low-cost, short-range, distributed communication technologies have been widely used to provide wireless-related applications in our daily life. Specifically, Bluetooth Low Energy (BLE) is one of the most popular wireless interfaces available in almost ...
Yuh-Ren Tsai, Hsin-Yi Liu
doaj   +1 more source

Secrecy Outage Performance Analysis for Cooperative NOMA Over Nakagami- $m$ Channel

open access: yesIEEE Access, 2019
In this paper, we investigate the secrecy outage performance of a typical cooperative downlink non-orthogonal multiple access (NOMA) system over Nakagami-m fading channel, in which the base station transmits a superimposed signal to two users via a relay.
Chao Yu, Hak-Lim Ko, Xin Peng, Wenwu Xie
doaj   +1 more source

On the Outage Performance of Selection Amplify-and-Forward Relaying Scheme

open access: yesIEEE Communications Letters, 2014
In this letter, we propose a selection amplify-and-forward (AF) relaying scheme which has the lower outage probability than that of a conventional AF relaying scheme in cooperative relay networks. In real wireless environments, as the channel of source-to-destination (SD) link varies with an increase in time, we can also obtain a diversity gain through
Jeehoon Lee, Minjoong Rim, Kiseon Kim
openaire   +1 more source

Outage Performance of a Unified Non-Orthogonal Multiple Access Framework [PDF]

open access: yes2018 IEEE International Conference on Communications (ICC), 2018
Accecpted by IEEE ICC ...
Xinwei Yue   +4 more
openaire   +2 more sources

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

open access: yesEnergy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman   +5 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

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