Abstract: Embodiments include an electric motor and a vehicle including the same. The electric motor has a rotor and a stator having a cavity network include a first set of channels that are interleaved with a second set of channels in an axial direction, wherein each of the first set of channels and the second set of channels have a major axis oriented in a non-radial and non-tangential direction.

Abstract: Embodiments of the disclosure provide a circuit, chip, system, and method for eliminating random perturbation. The circuit includes a weight calculating module for receiving digital signals and random perturbation digital quantity, using least mean square error algorithm to calculate weight deviation iteration coefficient based on digital signal and digital quantity, and updating perturbation weight in real-time according to weight deviation iteration coefficient; and a perturbation eliminating module for eliminating perturbation signal in output digital signal of quantizer according to perturbation weight updated in real-time and updating perturbation weight in real-time according to weight deviation iteration coefficient, and then calculating current perturbation weight in real time to realize self-calibration of perturbation weight.

Abstract: Atomizer cores, atomizer core substrates and methods of manufacturing atomizer core substrates are provided as well as aerosol generating devices incorporating same. In one example, the atomizer core comprises a core body having a first surface and a second surface. The core body includes a substrate and a heater with a plurality of channels extending between the first surface and the second surface for transferring an aerosol precursor from the first surface through the substrate and the heater to the second surface, the heater being adapted to heat the aerosol precursor to form an aerosol at the second surface. In other embodiments an insulator is disposed between the substrate and heater and adapted to insulate the substrate at least partially from heat generated by the heater.

Abstract: Disclosed is an electric vehicle load aggregation method based on continuous tracking of wind power curve, including: constructing an electric vehicle load consumption wind power curve aggregation model to obtain an electric vehicle call result, and calculating the abandoned wind power through the electric vehicle call result; optimizing the abandoned wind power quantity by energy storage equipment to obtain the abandoned wind power quantity after energy storage adjustment and optimization, setting the energy storage power and capacity configuration, and constructing a wind power curve continuous tracking model after energy storage adjustment and optimization; and solving the charging and discharging power of the energy storage equipment in each time period based on the wind power curve continuous tracking model after the energy storage adjustment and optimization, and calculating the cost of output aggregation.

Abstract: A high-efficiency cultivation method for high-frequency drip irrigation, water saving, seedling survival and strengthening, and yield increase of cotton fields in saline-alkali soil is provided, belonging to the field of agricultural planting technologies. It mainly includes performing land preparation; setting a planting mode; laying tubes; performing a high frequency drip irrigation; fertilizing with water; performing intertillage; performing chemical control; and performing green prevention and control. The method effectively solves many defects in the existing methods, improves the quality of cotton field preparation and seeding in saline-alkali soil, saves irrigation water, increases the emergence rate and seedling survival rate, improves the saline-alkali resistance of cotton seedlings, increases the yield, and achieves the goal of water-saving, high-quality and high-efficiency cultivation of cotton seedlings in saline-alkali soil.

Abstract: A method for optimizing HDR video display processing comprises: acquiring original video stream data; decoding the original video stream data to obtain metadata and image frame data of each image frame; in an m-th iteration, for each image frame, according to a characteristic parameter of a target display panel and the metadata, performing HDR processing on the image frame data by using an HDR video display processing algorithm, to obtain the image frame data subjected to HDR processing and corresponds to the original video stream data in the m-th iteration; and according to a playing display detection result, on the target display panel, of the image frame data that has been subjected to HDR processing and is obtained in the m-th iteration, optimizing an algorithm used in an (m+1)th iteration until the optimization of the HDR video display processing algorithm is completed.

Abstract: The present disclosure relates to roofing granules, such as colored solar-reflective roofing granules, and to methods for making and their use in roofing products. One aspect of the disclosure provides a collection of colored solar-reflective roofing granules, wherein substantially each roofing granule includes an inner layer of a porous ceramic material, the pore size and material of the inner layer being selected such that the inner layer is substantially reflective of infrared radiation; and disposed about and substantially surrounding the inner layer, an outer layer of a substantially colored ceramic material, the outer layer of substantially colored ceramic material being substantially transmissive to infrared radiation, the collection of colored solar-reflective roofing granules having a L* of no more than 60 and a solar reflectivity of at least 30%.

Abstract: A method and an apparatus for generating HDR image with low bit width, a storage medium, and a terminal are provided. The method includes: determining a to-be-processed HDR image with high bit width; splitting the to-be-processed HDR image with high bit width to obtain N frames of split images which include a first frame to an Nth frame; performing bit width reduction processing on the N frames of split images respectively, to obtain N frames of low-bit-width images; and synthesizing the N frames of low-bit-width images to obtain the HDR image with low bit width.

Abstract: Disclosed is a prediction method and device for a clearing price of an auxiliary service for peak regulation, including: acquiring continuous N days of historical data of clearing prices of an auxiliary service market for peak regulation and respectively moving data of original clearing prices forwards by 1, 2, . . . k days, so as to obtain D?1, D?2 . . . D?k data columns; performing first-round training and prediction by adopting a BP (Back Propagation) neural network, a BP neural network optimized by a PSO (Particle Swarm Optimization) algorithm and an LSSVM (Least Square Support Vector Machine), and forming a BP-expansion column, a PSO_BP-expansion column and an LSSVM-expansion column; training the BP neural network by taking first N?k days of time points and D?1, D?2 . . . D?k clearing prices, the BP-expansion column, the PSO_BP-expansion column, the LSSVM-expansion column and the original clearing prices as training data; and performing prediction for the clearing price.

Abstract: The invention relates to an optimal allocation method for stored energy coordinating electric vehicles (EVs) to participate in auxiliary service market (ASM), including the following steps: 1. Predict the reported capacity of daily 96 points for EVs to participate in the ASM by least square support vector machine (LSSVM). 2. Fit the daily total load distribution of EVs. 3. Determine the error distribution between the reported capacity and the actual response capacity, and simulate the total daily load capacity of EVs in the future with Monte Carlo method. 4. Calculate the energy storage capacity required by EVs daily participating in ASM. 5. Build the objective function to minimize the scheduling risk of auxiliary service. 6. Solve the energy storage model in step 5 with particle swarm optimization (PSO), and output the configuration results of optimal energy storage capacity and energy storage power. The invention can improve the adjustable capacity of EVs participating in ASM.

Abstract: The present disclosure relates to the field of atomization applications. More specifically, the disclosure relates to an atomization core, comprising a core substrate and a heating body on the core substrate, wherein the core substrate is made of a dense material (e.g., dense ceramics), with e-liquid transferring perforations distributed in the substrate; the diameter of the e-liquid transferring perforations is 1-250 ?m; the wall spacing between two adjacent e-liquid transferring perforations is less than 500 ?m; and the porosity of the dense material is less than 30%.

Abstract: The disclosure discloses an atomization core comprising a substrate, wherein a film with low oxygen content is deposited on the substrate, a passive film is deposited on this film with low oxygen content, the substrate is formed with fluidic transferring channels, and electrodes are formed on both ends of the substrate. The material of the substrate of the atomization core is monocrystalline alumina. A film with low oxygen content and a passive film are deposited on the substrate. The diameter of perforations of the fluidic transferring channels in the substrate is less than 250 ?m. The spacing between walls of adjacent perforations of the fluidic transferring channels is less than 500 ?m. Both the diameter and number of the perforations are controllable.

Abstract: The present disclosure relates to a method for clustering forecasting of the electric vehicle charging load, comprising the following steps: collecting electric vehicle charging load data on a historical date and weather information data related to that historical date; preprocessing and then normalizing the collected data to obtain a new data set; performing fuzzy C-means clustering on the normalized data, and taking an actual load measurement point as a fuzzy clustering index to construct a similar daily load set of the date to be forecast; according to the similar daily load set, constructing and training a least-square SVM (support vector machine) forecasting model; inputting load values at the same time in three days ahead of the date to be forecast and the weather information data related to the three days into the trained least-square SVM forecasting model, and outputting a forecast load.

Abstract: One aspect of the disclosure is roofing shingle including a shim layer having a top surface, a first side edge, and a second side edge positioned opposite the first side edge. The roofing shingle also includes a top shingle layer at least partially laminated to the top surface of the shim layer, where the top shingle layer includes a first side edge offset a sidelap distance from the first side edge of the shim layer such that a side portion of the top surface of the shim layer is exposed, and a second side edge extending beyond the second side edge of the shim layer so as to overlap the second side edge of the shim layer by the sidelap distance.

Abstract: One aspect of the disclosure is roofing shingle including a shim layer having a top surface, a first side edge, and a second side edge positioned opposite the first side edge. The roofing shingle also includes a top shingle layer at least partially laminated to the top surface of the shim layer, where the top shingle layer includes a first side edge offset a sidelap distance from the first side edge of the shim layer such that a side portion of the top surface of the shim layer is exposed, and a second side edge extending beyond the second side edge of the shim layer so as to overlap the second side edge of the shim layer by the sidelap distance.

Abstract: The present disclosure relates to roofing granules, such as colored solar-reflective roofing granules, and to methods for making and their use in roofing products. One aspect of the disclosure provides a collection of colored solar-reflective roofing granules, wherein substantially each roofing granule includes an inner layer of a porous ceramic material, the pore size and material of the inner layer being selected such that the inner layer is substantially reflective of infrared radiation; and disposed about and substantially surrounding the inner layer, an outer layer of a substantially colored ceramic material, the outer layer of substantially colored ceramic material being substantially transmissive to infrared radiation, the collection of colored solar-reflective roofing granules having a L* of no more than 60 and a solar reflectivity of at least 30%.

Abstract: An article, such as a light emitting device, can include a first material and a second material, wherein the first material is capable of emitting first radiation having a first emission maximum at a first wavelength, and the second material is capable of emitting second radiation in response to capturing the first radiation. The second material can have a second emission maximum at a second wavelength within the visible light spectrum. In an embodiment, the second material can be different from the first material. In another embodiment, a difference between the first wavelength and the second wavelength can be at least approximately 70 nm. Additionally, the second material can include a luminescent material having a formula of Gd3(x)Y3(1-x)Al5(y)Ga5(1-y)O12, where x is at least approximately 0.2 and no greater than approximately 0.99 and y is at least approximately 0.05 and no greater than approximately 0.99.

Abstract: A method for processing an image in Bayer format is provided. The method may include: performing a binning process in a horizontal and/or vertical direction on an image which is to be processed, so that an arrangement mode of pixels in a processed image after binning is the same with that in the image to be processed, wherein the binning process may include: determining a position of an output pixel; selecting, from the image to be processed, a plurality of pixels which have the same color component with that of the output pixel, and calculating a weighted average of the plurality of pixels, so as to obtain a pixel value of the output pixel, wherein the plurality of pixels are selected from particular positions, so that the weighted average of the plurality of pixels can be calculated. According to the present disclosure, quality of image processing can be guaranteed.

Abstract: A scintillation device includes a ceramic scintillator body that includes a polycrystalline ceramic scintillating material comprising gadolinium. The polycrystalline ceramic scintillating material is characterized by a pyrochlore crystallographic structure. A method of producing a ceramic scintillator body includes preparing a precursor solution including a rare earth element precursor, a hafnium precursor, and an activator (Ac) precursor. The method also includes obtaining a precipitate from the solution and calcining the precipitate to produce a polycrystalline ceramic scintillating material including the rare earth element, hafnium, and the activator, and having a pyrochlore titrating the precursor solution into the precipitant solution structure.

Abstract: A ceramic scintillator body includes a polycrystalline ceramic scintillating material having a substantially cubic crystallographic structure. The polycrystalline ceramic scintillating material has a chemical composition represented by a general formula LU(2-x)GdxO3:Ac, where x is greater than zero and less than two, and where Ac is an activator.