Abstract: A method to achieve full densification and grain size control for sintering metal materials, wherein raw material powder is deagglomerated to obtain deagglomerated powder with dispersion. The deagglomerated powder is granulated by spray granulation. The granulated particles are processed by high-pressure die pressing and cold isostatic pressing. The powder compact is sintered by two-step pressureless sintering. The first step is to heat up the powder compact to a higher temperature and hold for a short time to obtain 75-85% theoretical density; the second step is to cool down powder compact to a lower temperature and hold for a long time. The two-step sintering can decrease the sintering temperature, so that the powder compact can be densified at a lower temperature. Thus, the obtained refractory metal product is densified, with ultrafine grains, uniform grain size distribution, and outstanding mechanical properties.

Abstract: The present disclosure provides a method of multi-objective and multi-dimensional online joint monitoring for a nuclear turbine. The method includes: obtaining first temperature monitoring data of the nuclear turbine by performing online thermal monitoring on a rotor, a valve cage and a cylinder of the nuclear turbine under quick starting-up; obtaining second temperature monitoring data of tightness of a flange association plane of the cylinder of the nuclear turbine by performing online thermal monitoring on the tightness of the flange association plane; obtaining operation monitoring data of a shafting vibration of a rotor and bearing system of the nuclear turbine by performing online safety monitoring on the shafting vibration of the rotor and bearing system; and optimizing operation and maintenance control of the nuclear turbine according to at least one type of monitoring data among the first temperature monitoring data, the second temperature monitoring data and the operation monitoring data.

Abstract: The present disclosure relates to a universal platform for accurately injuring animal under multi-condition and multi-simulation-environment, the platform including a fragment assembly convenient for the animal to be injured by means of a fragment, a shock wave assembly convenient for the animal to be injured by means of shock waves, a low-temperature assembly for providing a low-temperature environment for an injured animal, a low-pressure assembly for providing a low-pressure environment for the injured animal, a burning assembly used for injuring the animal by means of burning, a seawater soaking assembly used for soaking the injured animal in seawater, a photographing assembly used for high-speed photography, and a binding assembly used for fixing the animal during fragment injury, shock wave injury, burning injury and seawater soaking.

Abstract: Embodiments of present disclosure relate to a capacitor assembly and a dry-type capacitor. The capacitor assembly includes: a first layer of capacitor elements; a second layer of capacitor elements, wherein the first layer of capacitor elements is stacked on the second layer of capacitor elements; a first busbar comprising a first conductive plate provided with a plurality of holes, wherein the first conductive plate is electrically coupled to the capacitor elements of the first layer via a plurality of connecting elements arranged at the respective holes of the first conductive plate; and a second busbar electrically coupled to the first busbar and including a second conductive plate provided with a plurality of holes, wherein the second conductive plate is electrically coupled to the capacitor elements of the second layer via a plurality of connecting elements arranged at the respective holes of the second conductive plate.

Abstract: An electronic-grade glass fiber composition includes the following components with corresponding amounts by weight percentages 51.0-57.5% SiO2, 11.0-17.0% Al2O3, >4.5% and ?6.4% B2O3, 19.5-24.8% CaO, 0.1-1.9% MgO, 0.05-1.2% R2O=Na2O+K2O+Li2O, 0.05-0.8% Fe2O3, 0.01-1.0% TiO2, and 0.01-1.0% F2. A weight percentage ratio C1=SiO2/B2O3 is 8.1-12.7, a weight percentage ratio C2=B2O3/(R2O+MgO) is 1.7-6.3, and a total weight percentage of the above components is greater than or equal to 99%.

Abstract: An engineered recirculating aquaculture fish pond and a fish culture method are provided. The engineered recirculating aquaculture fish pond is simple to operate, has strong adaptability to different culture environments or culture varieties, and is not only suitable for large-scale aquaculture enterprises but also suitable for small-scale farmers. An aeration water lifting device is designed to simultaneously perform aeration and drainage, which can reduce the use of electric equipment, decrease the production and maintenance cost, improve the cost performance of single equipment, and save the internal use space of the pond. Nozzles are arranged in more than two directions, which is convenient for performing aeration in different directions, uniformly dispersing impurities carried in water in a deep ditch, intercepting to reduce local blockage, improving a single utilization rate of an intercept structure, and preventing heavier impurities from accumulating at a channel bottom of the deep ditch.

Abstract: A robot vision-based automatic rivet placement system and method. The automatic rivet placement system includes: an industrial robot installed on a frame, a multi-functional end effector, a rivet blowing mechanism, a detection disk, and a rivet holding tray. The multi-functional end effector consists of a flange disk, a support frame, an industrial CCD camera, a laser displacement sensor, a spring, a mixing rod, and a vacuum nozzle. The multi-functional end effector is connected to a terminal end of the industrial robot via the flange disk. The industrial CCD camera is installed directly in front of the support frame, and is used to acquire a rivet image and measure a rivet parameter. The laser displacement sensor is installed at a side surface of the support frame, and is used to measure a rivet depth.

Abstract: An electronic-grade glass fiber composition includes the following components with corresponding amounts by weight percentages: 54.2-60% SiO2, 11-17.5% Al2O3, 0.7-4.5% B2O3, 18-23.8% CaO, 1-5.5% MgO, less than or equal to 24.8% CaO+MgO, less than 1% Na2O+K2O+Li2O, 0.05-0.8% TiO2, 0.05-0.7% Fe2O3, and 0.01-1.2% F2. The weight percentage ratio C1=SiO2/(RO+R2O) is greater than or equal to 2.20, and the total weight percentage of the above components is greater than or equal to 98.5%.

Abstract: A control method of a drill jumbo is provided. The drill jumbo includes a pre-splitting arm, a drill arm, and a chamber. The pre-splitting arm includes a positioning device, a fixing buckle, a longer rod, an electric telescopic rod, and a water injection opening. The chamber includes a constant pressure valve, an excitation circuit, and a port. A computer controls the positioning device to perform positioning, afterwards, the fixing buckle is opened, the telescopic rod is started, the longer rod is jacked into a position in the hole, and oil is injected into a hydraulic expansion capsule. After blocking of the hole is completed, water is injected into the water injection opening. The port is opened to inject a mixed-phase fluid. The port is closed, the excitation circuit is started, and after a pressure rises to a set value, the constant pressure valve is opened.

Abstract: A system and a method of optimizing an optical proximity correction (OPC) model for a mask pattern of a photo mask is disclosed. A machine learning (ML) based model builder includes an OPC model, measurement data and a random term generator. Random terms are generated in a M-dimensional space by the random term generator. The ML based model builder classifies the random terms to clusters by applying a classifying rule. A representative subset of the random terms is determined among the classified clusters, and the representative subset is added to the OPC model.

Abstract: A fingerprint identification sensor includes a base, and at least one light sensing unit disposed on the base. The at least one light sensing unit is configured to collect at least two different monochromatic lights of light reflected by a finger to identify a fingerprint.

Abstract: A selective laser melting technology-based apparatus for preparing a gradient material, comprising a laser scanning array lens, and a powder storer, a powder mixer, a powder scraping plate, and a working platform that are provided in sequence from top to bottom; the powder storer is provided with two or more partitions; a bottom portion of the powder storer is provided with an outlet; the powder mixer is provided under the powder storer and is a horizontally provided rotational mixer; the powder scraping plate is disposed under the powder mixer; the working platform is provided under the powder scraping plate; the laser scanning array lens is provided on the working platform. The present invention further relates to a method for preparing a gradient material, comprising powder storing, powder scraping, powder mixing, powder laying, and printing. The method can guarantee the two-phase powder ratio in each layer of powder not change.

Abstract: An embodiment of the present invention provides a column inversion driving circuit. The column inversion driving circuit could reduce the voltage level of the logic low of the nth impulse signal, which is used to control the nth TFT matrix, through the cooperation of the voltage level of the nth impulse signal and the nth positive data signal. Furthermore, the voltage level of the logic high of the (n+1)th impulse signal, which is used to control the (n+1)th TFT matrix, is also reduced through the cooperation of the voltage level of the (n+1)th impulse signal and the (n+1)th negative data signal. This reduces the power consumption of the column inversion driving circuit.

Abstract: A method is described for generating a subsurface model using stochastic full waveform inversion by receiving a seismic dataset representative of a subsurface volume of interest; performing stochastic full waveform inversion of the seismic dataset to generate a long wavelength subsurface model; and performing full waveform inversion of the seismic dataset using the long wavelength subsurface model as a starting model to generate an improved subsurface model. The method may further include performing seismic imaging of the seismic dataset using the improved subsurface model to generate a seismic image and identifying geologic features based on the seismic image. The method may be executed by a computer system.

Abstract: A semiconductor package includes a conductive pad, a semiconductor die with an aluminum bond pad over a dielectric layer of the semiconductor die, a gold bump on the aluminum bond pad, a first intermetallic layer of gold and aluminum between the aluminum bond pad and the gold bump, a copper ball bond on the gold bump, a second intermetallic layer of copper and gold between the copper ball bond and the gold bump, a copper wire extending from the copper ball bond to the conductive pad, a stitch bond between the copper wire and the conductive pad.

Abstract: An engineered recirculating aquaculture fish pond and a fish culture method are provided. The engineered recirculating aquaculture fish pond is simple to operate, has strong adaptability to different culture environments or culture varieties, and is not only suitable for large-scale aquaculture enterprises but also suitable for small-scale farmers. An aeration water lifting device is designed to simultaneously perform aeration and drainage, which can reduce the use of electric equipment, decrease the production and maintenance cost, improve the cost performance of single equipment, and save the internal use space of the pond. Nozzles are arranged in more than two directions, which is convenient for performing aeration in different directions, uniformly dispersing impurities carried in water in a deep ditch, intercepting to reduce local blockage, improving a single utilization rate of an intercept structure, and preventing heavier impurities from accumulating at a channel bottom of the deep ditch.

Abstract: A system and a method of optimizing an optical proximity correction (OPC) model for a mask pattern of a photo mask is disclosed. A machine learning (ML) based model builder includes an OPC model, measurement data and a random term generator. Random terms are generated in a M-dimensional space by the random term generator. The ML based model builder classifies the random terms to clusters by applying a classifying rule. A representative subset of the random terms is determined among the classified clusters, and the representative subset is added to the OPC model.

Abstract: A prediction method for charging loads of electric vehicles with consideration of data correlation includes: collecting historical data of the charging loads of the electric vehicles; carrying out data correlation analysis on the historical data of the charging loads of the electric vehicles, and real-time data, and calculating correlation coefficients between the historical data of the charging loads of the electric vehicles and the real-time data; based on the correlation coefficients, selecting historical data of the charging loads of the electric vehicles, which has high correlation, as data of the charging loads of the electric vehicles, which is used for prediction; and predicting the historical data of the charging loads of the electric vehicles, serving as the data of the charging loads of the electric vehicles, which is used for prediction, by adopting an LSTM algorithm, to obtain prediction results.

Abstract: In a method of manufacturing a lithographic mask of an integrated circuit for semiconductor device manufacturing an optical proximity correction (OPC) process to a layout pattern of the integrated circuit is performed to produce a corrected layout pattern. An inverse lithographic technology (ILT) process to the corrected layout pattern is also performed to enhance the corrected layout pattern to produce an OPC-ILT-enhanced layout pattern of the lithographic mask. A first contour image associated with the OPC-ILT-enhanced layout pattern is generated when the OPC-ILT-enhanced layout pattern of the lithographic mask is projected on a wafer. The features of the generated first contour image are extracted. And a second contour image of a developed photo resist pattern on the wafer associated with the OPC-ILT-enhanced layout pattern as an output of a deep neural network is generated.