247 research outputs found
Low-Frequency Load Identification using CNN-BiLSTM Attention Mechanism
Non-intrusive Load Monitoring (NILM) is an established technique for
effective and cost-efficient electricity consumption management. The method is
used to estimate appliance-level power consumption from aggregated power
measurements. This paper presents a hybrid learning approach, consisting of a
convolutional neural network (CNN) and a bidirectional long short-term memory
(BILSTM), featuring an integrated attention mechanism, all within the context
of disaggregating low-frequency power data. While prior research has been
mainly focused on high-frequency data disaggregation, our study takes a
distinct direction by concentrating on low-frequency data. The proposed hybrid
CNN-BILSTM model is adept at extracting both temporal (time-related) and
spatial (location-related) features, allowing it to precisely identify energy
consumption patterns at the appliance level. This accuracy is further enhanced
by the attention mechanism, which aids the model in pinpointing crucial parts
of the data for more precise event detection and load disaggregation. We
conduct simulations using the existing low-frequency REDD dataset to assess our
model performance. The results demonstrate that our proposed approach
outperforms existing methods in terms of accuracy and computation time
Risk-Constrained Control of Mean-Field Linear Quadratic Systems
The risk-neutral LQR controller is optimal for stochastic linear dynamical
systems. However, the classical optimal controller performs inefficiently in
the presence of low-probability yet statistically significant (risky) events.
The present research focuses on infinite-horizon risk-constrained linear
quadratic regulators in a mean-field setting. We address the risk constraint by
bounding the cumulative one-stage variance of the state penalty of all players.
It is shown that the optimal controller is affine in the state of each player
with an additive term that controls the risk constraint. In addition, we
propose a solution independent of the number of players. Finally, simulations
are presented to verify the theoretical findings.Comment: Accepted at 62nd IEEE Conference on Decision and Contro
Spike Protein Mutations and the Effects on SARS-CoV-2 Pathogenesis
The severe acute respiratory syndrome coronavirus 2 spike (S) glycoprotein facilitates receptor binding to initiate cell entry that is the critical initial step in the infection cycle. Due to S glycoprotein's pivotal role, in this review, we pointed to show potential functional and structural consequences of S glycoprotein and its variants, which has been related with increased viral load in humans with SARS-CoV-2 infection
Implementation of muon pair production in PHITS and verification by comparing with the muon shielding experiment at SLAC
We implemented a model of muon pair production through a real photon in PHITS
and compared our calculations with data of the muon shielding experiment
conducted at SLAC to verify the validity of the implemented model. Our
predictions of the muon fluence induced by electrons are in good agreement with
the experimental data. To understand the known differences between the
calculations of the muon fluence, which have been determined using other
Monte-Carlo codes, we quantitatively evaluate the fluctuations in the
Monte-Carlo results due to systematic errors in multiple Coulomb scattering,
differences in the approximation methods and energy loss models, and whether
incoherent production is considered.Comment: 16 pages, 8 figure
Control of assembly size of poly (methacrylic acid)-grafted fullerenes in aqueous solution
We synthesized poly(methacrylic acid)-grafted fullerenes (PMA-C60) with different PMA molecular weights and investigated the assembly size formed by PMA-C60 in aqueous solution. The molecular weight of PMA strongly affects the assembly size: PMA-C60 with a larger molecular weight forms micelles with 20 nm diameters while PMA-C60 with a smaller molecular weight forms monodisperse assemblies with 200 nm hydrodynamic diameters. We succeeded in converting the large monodisperse assembly into micelles by adding either ionic species or ethanol. This result provides insight into controlling the assembly size of fullerene-containing assemblies
Update On The Code Intercomparison and Benchmark For Muon Fluence and Absorbed Dose Induced By An 18-GeV Electron Beam After Massive Iron Shielding
In 1974, Nelson, Kase and Svensson published an experimental investigation on
muon shielding around SLAC high-energy electron accelerators. They measured
muon fluence and absorbed dose induced by 14 and 18 GeV electron beams hitting
a copper/water beamdump and attenuated in a thick steel shielding. In their
paper, they compared the results with the theoretical models available at that
time.
In order to compare their experimental results with present model
calculations, we use the modern transport Monte Carlo codes MARS15, FLUKA2011
and GEANT4 to model the experimental setup and run simulations. The results are
then compared between the codes, and with the SLAC data.Comment: 14 pp. Presented paper at the 13th Meeting of the task-force on
Shielding aspects of Accelerators, Targets and Irradiation Facilities
(SATIF-13), HZDR, October 10-12, 2016, Dresden, Germany. arXiv admin note:
substantial text overlap with arXiv:1502.0168
PVP-Grafted Fullerenes in Aqueous Solution
Poly(N-vinylpyrrolidone) (PVP)-grafted fullerenes (PVP-C60 and PVP-C70) were synthesized by iniferter polymerization in order to fabricate water-soluble fullerene containing micelles. PVP-C60 formed micelles with hydrodynamic diameters ranging from 15 to 33 nm. The solubilization of fullerene molecules into the core of the PVP-C60 micelles was also found to control the size of the micelles. By increasing the amount of added fullerene, we gradually increased the micelle size before drastically increasing it to that of 200 nm in hydrodynamic diameter. The drastic change occurred at a critical value of the added C60/PVP monomer ratio, almost independently of the molecular weight of PVP
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