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.

Abstract: A method for assessing a hazard on flood sensitivity based on an ensemble learning includes collecting such data as topography, hydrometeorology, soil vegetation in a research region as feature data, and standardizing the feature data; extracting the historical inundation points and non-inundation points in the research basin according to historical water level data and remote sensing data; selecting an optimal feature subset by using Laplace scores. The method includes dividing sample points into a training set and a testing set and training the ensemble learning model; and calculating the hazard on the flood sensitivity for the whole basin by using the trained model to generate a grade distribution map of the hazard on the flood sensitivity in the basin. In the present disclosure, each of the feature data in the research region is taken as an input, the ensemble learning model improves accuracy for assessing the flood in the basin.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: The present invention relates to the technical fields of genetic engineering and bioinformatics, in particular, to a method for creating a new gene in an organism in the absence of an artificial DNA template, and a use thereof. The method comprises simultaneously generating DNA breaks at two or more different specific sites in the organism's genome, wherein the specific sites are genomic sites capable of separating different gene elements or different protein domains, and the DNA breaks are ligated to each other through non-homologous end joining (NHEJ) or homologous repair to generate a new combination of the different gene elements or different protein domains that is different from the original genome sequence, thereby creating a new gene. The new gene of the invention can change the growth, development, resistance, yield and other traits of the organism, and has great value in application.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: A one-part low modulus room temperature vulcanisable (RTV) silicone composition containing a catalyst comprising (i) a titanate and/or zirconate and (ii) a metal carboxylate salt which cures to a low modulus silicone elastomer which may be used as a non-staining (clean) sealant having high movement capability.

Abstract: A process for end capping and chain extending silanol terminated polydiorganosiloxanes with a mixture of one or more alkylacetoxydialkoxysilanes and one or more alkyldiacetoxyalkoxysilanes. The resulting capped polymeric material may be utilised as a polymer in e.g. a one-part alkoxy sealant composition such as, for example, an alkoxy low modulus clean (non-staining) or clear sealant composition.

Abstract: Techniques for performing high-precision presence detection by establishing and monitoring peer-to-peer communication links between user devices residing in a same physical environment. A user device that resides in the environment may establish communication links with multiple other user devices residing in the environment. The user device may monitor the channel properties for those communication links to detect fluctuations in the channel properties caused by a user moving through a signal of the communication links. In examples where the user device detects fluctuations in channel properties for multiple communication links, the user device may determine that the user had moved though signals of the communication links. The user device may determine that, because the user moved through signals of multiple communication links, the user may be in close proximity to the user device, such as in the same room.

Abstract: An optical assembly and a vehicle lamp are described. The optical assembly has a main exit direction, and includes a light source, a first light guide element and a second light guide element which are arranged in a superposed fashion in the main exit direction. The light source is allocated to the first light guide element, and the first light guide element has a first light in-coupling region and a first light out-coupling surface, the second light guide element has a second light in-coupling surface and a second light out-coupling surface, with the first light out-coupling surface facing the second light in-coupling surface. A light distribution structure is provided on at least a partial segment of at least one of the first light out-coupling surface and the second light in-coupling surface. The vehicle lamp includes the optical assembly described above.

Abstract: A SnBiSb series low-temperature lead-free solder and a preparation method thereof, which belongs to the technical field of low-temperature soldering. The lead-free solder includes by weight the following composition: 32.8-56.5% of Bi, 0.7-2.2% of Sb, with the remainder being Sn, wherein the weight percentages of Bi and Sb satisfy a relationship of b=0.006a2?0.672a+19.61+c, wherein the symbol a represents the weight percentage of Bi, the symbol b represents the weight percentage of Sb, and the range of c is ?1.85?c?1.85. The solder alloy has a peritectic or near peritectic structure with a low melting point, and has an excellent mechanical performance and reliability, and applicable to the field of low-temperature soldering.

Abstract: A computer-implemented method applies labels to unlabeled public data for use by a global model. One or more processors train one or more local machine learning models with local private data to create one or more trained models. Processor(s) generate a label for each of the local private data using the one or more trained models, where each label describes the local private data, and then apply the label to unlabeled public data to create labeled public data. One or more processors then input the labeled public data into a global model that uses the public data.

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.