Abstract: A Pickering particle dry powder and a preparation method are used in food processing. The preparation method includes stirring peanut protein isolate and water as raw materials to obtain peanut protein isolate dispersion, subjecting the peanut protein isolate dispersion to ultrasonic treatment, subjecting the resultant to cross-linking reaction with transglutaminase to obtain a monolithic geld, shearing and homogenizing the monolithic gel to obtain a microgel particle dispersion, spray drying the microgel particle dispersion to obtain the Pickering particle dry powder. The Pickering particle dry powder prepared by the ultrasonic-assisted enzyme method is still in nanometer level after rehydration, which is beneficial to preparing Pickering emulsion with strong stability. The preparation method has the advantages of simple operation and low cost, which is beneficial to actual production in the food industry.

Abstract: A solid acid catalyst has a macropore specific volume of about 0.30-0.50 ml/g, a ratio of macropore specific volume to specific length of catalyst particles of about 1.0-2.5 ml/(g·mm), and a ratio of specific surface area to length of catalyst particles of about 3.40-4.50 m2/mm. The macropore refers to pores having a diameter of more than 50 nm. An alkylation catalyst is based on the solid acid catalyst and can be used in alkylation reactions. The solid acid catalyst and alkylation catalyst show an improved catalyst service life and/or trimethylpentane selectivity when used in the alkylation of isoparaffins with olefins.

Abstract: Disclosed are a device and method for detecting defects of a high-voltage cable cross-bonded grounding system. The method comprises: selecting a protective grounding box of a cross-bonded grounding system, respectively connecting a signal excitation coupler to A-phase, B-phase and C-phase coaxial cables of the protective grounding box, selecting a stable signal with a frequency different from a power frequency or a field interference frequency, and testing effective current values and phases responded by the A-phase, B-phase and C-phase coaxial cables when the stable signal with the frequency F1 is injected into the A-phase, B-phase and C-phase coaxial cables of the protective grounding box in a coupled manner; and obtaining resistances and inductances of branch circuits of the cable cross-bonded grounding system by calculation according to measurement data, and determining if the cable cross-bonded grounding system has a connection defect.

Abstract: A tunnel automatic monitoring and measuring equipment and method based on fixed-point tour measurement are provided. The equipment includes a monitoring trolley that can move freely in the longitudinal direction of the tunnel, multiple automatic tracking and identification devices are set on the monitoring trolley, the automatic tracking and identification device is connected to the background processing system telecommunication; a monitoring points with reflective markings are arranged on the surface of the tunnel support structure, under the cooperation of the monitoring trolley and the automatic tracking and identification device, the reflective markings set on the tunnel support structure can be automatically measured at the fixed point to obtain the coordinate information of the relevant monitoring points; then, the deformation data of the support structure required in the construction process are extracted by coordinate information calculation.

Abstract: A sliding sleeve device has an outer cylinder, a circulation hole being provided in the wall of the outer cylinder; and an inner cylinder provided in an inner cavity of the outer cylinder. In an initial state, the inner cylinder and the outer cylinder are fixed to each other to seal the circulation hole. In a first state, the inner cylinder is movable relative to the outer cylinder, thereby unsealing the circulation hole. A protection mechanism is provided in the circulation hole, which has an inner member located on the radially inner side and an outer member located on the radially outer side.

Abstract: Disclosed are a dynamic error measurement apparatus, system, and method for an electricity meter. The measurement apparatus includes a test signal generation unit configured to generate a voltage test signal and two-circuit current test signals, output the voltage test signal to a measurement unit, and output the two-circuit current test signals to the measurement unit and a current summation unit; the measurement unit configured to determine two-circuit electric energy values based on the voltage test signal and the two-circuit current test signals, and output the two-circuit electric energy values to a calculation control unit; the current summation unit configured to determine a combined current signal based on the two-circuit current test signals; and the calculation control unit configured to determine a total electric energy value based on the two-circuit electric energy values. The system includes a standard meter and a measurement apparatus.

Abstract: A light-emitting assembly includes a first light guide element and a second light guide element, which have end sections connected to each other, the end sections having a main light propagation direction. The first and second light guide elements further having light guide sections which spread out from the top of a connection region of the end sections. A middle element is located between the light guide sections of the light guide elements and spaced apart from the top, the middle element having a light entry face and a light exit face which is opposite the light entry face and configured to emit light between the spread-out light guide sections. At least one of the light entry face and the light exit face has a light-transmitting region with a predetermined shape, the light-transmitting region occupying a part of a corresponding face of the middle element.

Abstract: A solid oxide cell (SOC) chip with the double-electrolyte structure and a preparation method thereof are provided. The SOC chip includes two electrolytes, where the two electrolytes are separated by an inner electrode sandwiched between the two electrolytes; a plurality of regularly arranged gas paths is provided in the inner electrode; at least two sides of the inner electrode are covered with side sealing members; outer surfaces of the electrolytes are provided with outer surface elements; the outer surface elements include an intermediate layer, an outer electrode, an inner electrode plate, and an outer electrode plate; the inner electrode is connected to the inner electrode plate; and the outer electrode is connected to the outer electrode plate. The side sealing members each are provided with a multi-layer structure, including an inner sub-layer and an outer sub-layer.

Abstract: According to embodiments of the present invention, a method, a device and a computer program product for image processing is provided. A computing device obtains an image of a first object, the image presenting a defect of the first object. A computing device obtains defect distribution information indicating respective frequencies of a plurality of predetermined categories of defects presented at corresponding locations in a plurality of training images, the plurality of training images presenting second objects and being used for training a defect classifier. A computing device determines a target category of the defect of the first object by applying the image and the defect distribution information to the defect classifier. A computing device generates one or more correction notifications.

Abstract: The present invention relates to the technical field of automobile fittings, and discloses a foldable and flexible vent for an air conditioner, comprising a base, a hose and an air guide cylinder, wherein one end of the base communicates with the vent for the air conditioner, and the other end communicates with the hose; the air guide cylinder is arranged at one end of the hose away from the base; the vent further comprises an air damper and a rotating mechanism. The plurality of air dampers are distributed in a circular array in the air guide cylinder with the axis thereof as the center, and then adjusted by the synchronous angle of the rotating mechanism, so that the wind direction of the hose flowing into the air guide cylinder is uniformly discharged in a spiral manner, achieving the effect of simple, convenient and efficient uniform venting.

Abstract: A process for end-capping a dimethylsilanol terminated polydiorganosiloxane with one or more di, tri and/or tetra alkoxysilanes in the presence of a basic end-capping catalyst starting material is provided. An acidic stabilizing/neutralising agent is subsequently added. The acidic stabilizing/neutralising agent is selected from one or more fatty acids having from 8 to 26 carbons; an alkane sulphonic acid having from 1 to 10 carbons; acidic fumed silica and/or one or more acidic liquid polybutadienes or a mixture thereof. The resulting capped polymeric material may be utilized as a polymer in, e.g., an organopolysiloxane elastomer composition.

Abstract: The invention relates to a multi-phase power supply regulator and a temperature balance control method thereof. The method comprises: providing a multi-phase power supply regulator which includes a controller and a plurality of power stages, transmitting a plurality of control signals to the plurality of power stages respectively by the controller. Each of the plurality of power stages includes a temperature sampling unit, wherein outputs of the temperature sampling units are connected in parallel and the plurality of power stages outputs a temperature detection signal. The invention determines one of the plurality of power stages comprising highest temperature by sequentially adjusting the control signals, the temperature of the power stage is reduced, and the temperatures of the multi-phase power supply regulator are balanced.

Abstract: Embodiments of the present invention facilitate product defect detection. A computer-implemented method comprises: receiving, by a device operatively coupled to one or more processors, a template image of a normal product; generating, by the device, one or more geometric training parameters for transforming the template image; and transforming, by the device, the template image using the one or more geometric training parameters to generate a transformed image for training a data model, wherein the trained data model being used for aligning the template image and an image under inspection of a product.

Abstract: A method for calibrating parameters of a hydrology forecasting model based on a deep reinforcement learning includes selecting according to basin characteristics, and the parameters and parameter value ranges to be calibrated by the model are determined. The method includes a calibrating the parameters of the hydrology forecasting model is established, and three elements of the reinforcement learning, that is, a state space, an action space and a reward function are determined. The method includes a deep reinforcement learning method DQN is applied to optimize the parameters to be calibrated by the hydrology forecasting model. In the present disclosure, by setting a stride length of the action value for the deep reinforcement learning model, an accuracy finally optimized by the calibration parameters can be freely controlled, and a DQN algorithm is adopted to search the entire space for the calibration parameters to ensure the optimality for optimizing the calibrated parameters.

Abstract: A method for optimizing a reservoir operation for multiple objectives based on a GCN and a NSGA-II algorithm. The method includes collecting relevant data for reservoir flood-control operation and establishing a multi-objective optimization model for the flood control. An initial population is obtained. Grouping individuals by an encoding operation and the grouped classifications are nodes of the GCN, and mapping parent-child relationships obtained by crossover and mutation operations as edges between the nodes in the GCN. A preliminary Pareto frontier is obtained, abscissas of the preliminary Pareto frontier are grouped and labeled, and a GCN model is trained by using the grouping labels and the graphic structure obtained in Step 2. The nodes in the graphic structure are classified by using the trained GCN model, and a uniformity of the Pareto frontier is adjusted. A set of non-inferior schemes of the multi-objective optimization problem for the reservoir operation is output.

Abstract: An optical assembly, a vehicle lamp and a motor vehicle are disclosed. The optical assembly includes a light guide, the light guide at least having a first light guide section, a second light guide section and a bridging light guide section. The first light guide section and the second light guide section are connected together at one end to form an end region and bifurcating from the end region, the end region having an end face for the in-coupling of light. The bridging light guide section is arranged between the first light guide section and the second light guide section. The bridging light guide section is spaced apart from a bifurcation position of the first light guide section and the second light guide section, and the bridging light guide section has a light in-coupling face facing the bifurcation position, and a light out-coupling face.

Abstract: A method for optimizing a reservoir operation for multiple objectives based on a GCN and a NSGA-II algorithm. The method includes collecting relevant data for reservoir flood-control operation and establishing a multi-objective optimization model for the flood control. An initial population is obtained. Grouping individuals by an encoding operation and the grouped classifications are nodes of the GCN, and mapping parent-child relationships obtained by crossover and mutation operations as edges between the nodes in the GCN. A preliminary Pareto frontier is obtained, abscissas of the preliminary Pareto frontier are grouped and labeled, and a GCN model is trained by using the grouping labels and the graphic structure obtained in Step 2. The nodes in the graphic structure are classified by using the trained GCN model, and a uniformity of the Pareto frontier is adjusted. A set of non-inferior schemes of the multi-objective optimization problem for the reservoir operation is output.

Abstract: A method for optimally selecting a flood-control operation scheme based on a temporal convolutional network.

Abstract: A multi-phase control circuit and a temperature balance control method thereof The temperature balance control method of the multi-phase control circuit includes the steps of: acquiring a first temperature signal reflecting a representative temperature among a plurality of power stages, then acquiring a plurality of second temperature signals reflecting a respective temperature of each of the plurality of power stages; and adjusting a pulse width and/or frequency of a pulse width modulation signal of at least one of the plurality of power stages according to a comparison result between the first temperature signal and the second temperature signal so as to balance the temperatures of the plurality of power stages.