The accuracy of appliance identification is mainly determined by the selection of features in Non-Intrusive Load Monitoring (NILM). The time domain features extracted based on the appliance steady-state depends highly...
The accuracy of appliance identification is mainly determined by the selection of features in Non-Intrusive Load Monitoring (NILM). The time domain features extracted based on the appliance steady-state depends highly on the stable voltage. This paper proposes a frequency domain features extraction method, which applies the empirical mode decomposition (EMd) principle. The combination of frequency domain features and time domain features can effectively reduce the impact of voltage fluctuations on the accuracy of electrical identification. Through experimental comparison, it is proved that this method can solve time domain features overlapping, with higher anti-interference ability androbustness, especially for the non-resistive electronic loads.
Non-intrusive load monitoring (NILM) can decompose the total powerconsumption measured by the smart meter into the powerconsumed by the individual appliances, so as to achieve the purpose of saving energy. In this p...
Non-intrusive load monitoring (NILM) can decompose the total powerconsumption measured by the smart meter into the powerconsumed by the individual appliances, so as to achieve the purpose of saving energy. In this paper, an improved method of daubechies9 (dB9) which is a discrete wavelet is proposed, which can effectively remove the noise of the low-frequency components. On this basis, an online NILM method based on Hidden Markov model (HMM) is proposed. The model of load switching can be built using apparent power of transient-state with this method. Besides, the improved forward algorithm which effectively suppressing the data underflow in load classification is proposed. The proposed methods are embedded in the smart meter and can increase the overall recognition rate of the load over 90% in the experiments which prove that they have good applicability.
In this study,high-damping andconducting epoxy nanocomposites were developed with carbon nanofibers as conducting materials,and zinc oxide particles as piezoelectric *** mechanical and electrical properties,electrica...
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In this study,high-damping andconducting epoxy nanocomposites were developed with carbon nanofibers as conducting materials,and zinc oxide particles as piezoelectric *** mechanical and electrical properties,electrical impedance,and loss factors were investigated by uniaxial tensile tests,voltage measurement,impedance measurement,and 3-point bending *** percolation thresholds were found:the percolation threshold of resistivity due to the carbon nanofibers forming conductive networks in the matrix;and the impedance thresholddue to the zinc oxide particles acting like electric barriers.A poling treatment of the high-damping andconducting epoxy nanocomposite was considered,and we found that poling treatment helped to make the networks more conductive and to generate voltage from ZnO particles.A high-damping andconducting epoxy nanocomposite with 3 wt%CNF and 10 wt%ZnO exhibited higher loss factor than those of others tested.
In this paper, we investigate and analyze modulation-baseddetect-and-forward (MdeF) relaying for the noncoherent ultra-widebandcooperative system under Nakagami-m fading environments, which can cover a wide range of...
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ISBN:
(纸本)9781538663592;9781538663585
In this paper, we investigate and analyze modulation-baseddetect-and-forward (MdeF) relaying for the noncoherent ultra-widebandcooperative system under Nakagami-m fading environments, which can cover a wide range of fading conditions. The MdeF relaying is performed based on the codeword modulation anddetects symbols through the codeword mapping process and signal waveform aggregation scheme with good noise/interference mitigation. The proposed MdeF relaying is shown that the upper bound of the average bit error probability matches well to numerical counterpart as signal-to-noise ratio becomes larger and outperforms the conventional deF relaying.
We investigated the effect of grain boundary structures on the trapping strength of HeN(N is the number of helium atoms) defects in the grain boundaries of nickel. The results suggest that the binding energy of an i...
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We investigated the effect of grain boundary structures on the trapping strength of HeN(N is the number of helium atoms) defects in the grain boundaries of nickel. The results suggest that the binding energy of an interstitial helium atom to the grain boundary plane is the strongest among all sites around the plane. The He_N defect is much more stable in nickel bulk than in the grain boundary plane. Besides, the binding energy of an interstitial helium atom to a vacancy is stronger than that to a grain boundary plane. The binding strength between the grain boundary and the HeN defect increases with the defect size. Moreover, the binding strength of the HeN defect to the Σ3(112)[110] grain boundary becomes much weaker than that to other grain boundaries as the defect size increases.
Atmospheric models are essential tools to study the behavior of air pollutants. To interpret the complicated atmospheric model simulations, a new-generation Model Visualization and Analysis Tool (Model-VAT) has been...
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Atmospheric models are essential tools to study the behavior of air pollutants. To interpret the complicated atmospheric model simulations, a new-generation Model Visualization and Analysis Tool (Model-VAT) has been developed for scientists to analyze the model data and visualize the simulation results. The Model-VAT incorporates analytic functions of conventional tools and enhanced capabilities in flexibly accessing, analyzing, andcomparing simulatedresults from multi-scale models with diflbrent map projections and gridresolutions. The performance of the Model-VAT is demonstrated by a case study of investigating the influence of boundary conditions (BCs) on the ambient Hg formation and transport simulated by the CMAQ model over the Pearl riverdelta (Prd) region. The alternative BC options are taken from (1) default time-independent profiles, (2) outputs from a CMAQ simulation of a larger nesting domain, and (3) concentration files from GEOS-Chem (re-gridded andre-projected using the Model-VAT). The three BC inputs and simulated ambient concentrations anddeposition were compared using the Model-VAT. The results show that the model simulations based on the static BCs (default profile) underestimates the Hg concentrations by --6.5%, dry depositions by -9.4%, and wet depositions by --43.2% compared to those of the model-derived (e. g. GEOS-Chem or nesting CMAQ) BCs. This study highlights the importance of model nesting approach anddemonstrates that the innovative functions of Model-VAT enhances the efficiency of analyzing andcomparing the model results from various atmospheric model simulations.
Ultrasound microscope is a useful tool for living organ and tissues observation as it works quickly and nondestructively without chemical staining. Previously, the cytoskeleton was successfully mapped by utilizing the...
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Ultrasound microscope is a useful tool for living organ and tissues observation as it works quickly and nondestructively without chemical staining. Previously, the cytoskeleton was successfully mapped by utilizing the cell elasticity, which corresponds to changes in acoustic impedance. In this research, we switched the focus to the intracellulardynamics to illustrate the biological phenomenon under cellular level. 0.05 μg/ml of demecolcine were applied to C1271 breast cancer cells to synchronize the cell cycle in mitotic phase. The result revealed that phenomena in the mitosis which until now is only observable through optical microscopy is achievable in ultrasound microscope. This implies that non-invasive intracellular observation of cancer cells is feasible, and this technique can improve the current anticancerdrug development.
Acoustic microscope is a powerful tool for observation of biological matters. Non-invasive in-situ observation can be performed without any staining process. Unlike optical microscopy of which contrast is based on opt...
Acoustic microscope is a powerful tool for observation of biological matters. Non-invasive in-situ observation can be performed without any staining process. Unlike optical microscopy of which contrast is based on optical refractive index, the acoustic microscopy is contrasted by such as sound speed and acoustic impedance, which can be correlated to elasticity. We have proposed the acoustic microscope that can acquire three-dimensional acoustic impedance profile, and applied to cell-size observation. The presentation will deal with its hardware and signal processing, as well as the observation result of a cultured glial cell.
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