Bayesian inference of network loss and delay characteristics with applications to TCP performance prediction

D Guo, X Wang - IEEE Transactions on Signal Processing, 2003 - ieeexplore.ieee.org
… We show how these link loss and delay estimates can be used to predict point-to-point
transfer control protocol (TCP) throughput in the network. We apply the proposed link loss and …

Model specific characterization of soft magnetic materials for core loss prediction in electrical machines

LK Rodrigues, GW Jewell - IEEE Transactions on Magnetics, 2014 - ieeexplore.ieee.org
… methodology to characterize soft magnetic materials for a core loss model, which is capable
of predicting both instantaneous and average loss. The characterization method dispenses …

[PDF][PDF] A parametric characterization and comparative study of Okumura and Hata propagation-loss-prediction models for wireless environment

S Patel, VV Dwivedi, YP Kosta - International Journal of Electronic …, 2010 - researchgate.net
… models play very vital roles in the characterization and … Hata propagation-loss-prediction
models for heterogeneous … path loss between predicting values to improve the performance of …

[PDF][PDF] Measurement of Path Loss Characterization and Prediction Modeling for Swarm UAVs Air-to-Air Wireless Communication Systems.

S Duangsuwan - J. Commun., 2021 - researchgate.net
… the characterized path loss air-to-air (A2A) channel modeling-based measurement and
prediction … The channel model was considered using A2A Two-Ray (A2AT-R) extended path loss

Power loss prediction for distributed energy resources: Rapid loss estimation equation

M Amyotte, M Ordonez - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
… To provide computationally simple loss prediction under all operating conditions, the
rapid loss estimation (RLE) equation is proposed. First, the real operating conditions of the …

Characterization and performance prediction for integral capacitors in low temperature co-fired ceramic technology

K Delaney, J Barrett, J Barton… - IEEE transactions on …, 1999 - ieeexplore.ieee.org
… work reported here is to provide predictive functions that anticipate the nonnegligible
performance variations due to the variables applied in the characterization sequences. The internal …

Using Machine Learning for Loss Prediction in a Hybrid Meanline Modeling Method to Deliver Improved Radial Turbine Performance Prediction

P Ren, C Stuart, S Spence… - Journal of …, 2023 - asmedigitalcollection.asme.org
predictions of complete turbocharger maps. This paper presents a novel methodology for
turbocharger turbine rotor and nozzle performance prediction … The predicted losses provided by …

Workload characterization and prediction: A pathway to reliable multi-core systems

M Zaman, A Ahmadi, Y Makris - 2015 IEEE 21st International …, 2015 - ieeexplore.ieee.org
… In this work, we first discuss the state-of-theart methods for predicting workload dynamics
and we compare their performance. We, then, introduce a prediction method based on Support …

Power-aware branch prediction: Characterization and design

D Parikh, K Skadron, Y Zhang… - IEEE Transactions on …, 2004 - ieeexplore.ieee.org
… the different branchprediction design options interact at both the performance and power …
affect the overall processor’s power/performance characteristics. Our hope is that these results …

Prediction models for multi-dimensional power-performance optimization on many cores

M Curtis-Maury, A Shah, F Blagojevic… - Proceedings of the 17th …, 2008 - dl.acm.org
performance and to obtain near maximum energy savings. Last, our results show that
predictionbased power-performance … multi-dimensional power-performance prediction. Section 4 …