Abstract: Provided are a text recognition method, an electronic device, and a non-transitory computer-readable storage medium, which are applicable in an OCR scenario. In the particular solution, a text image to be recognized is acquired. Feature extraction is performed on the text image, to obtain an image feature corresponding to the text image, where a height-wise feature and a width-wise feature of the image feature each have a dimension greater than 1. According to the image feature, sampling features corresponding to multiple sampling points in the text image are determined. According to the sampling features corresponding to the multiple sampling points, a character recognition result corresponding to the text image is determined.

Abstract: A resin composition useful for additive manufacturing is provided, which resin composition may exhibit improved shelf life through inhibition of crystallization. Such resin composition may include a crystallization inhibitor as taught herein, and/or a prepolymer produced by reaction of an isocyanate with multiple isomers and comprising a lower percentage of the structurally symmetric isomer. Methods of forming a three-dimensional object using such resin composition are also provided.

Abstract: The disclosure relates to the technical field of communications, and in particular, to a method for establishing a communication connection after a device is offline and a smart home system. The method for establishing the communication connection after the device is offline comprises: whether a first device is in an offline state in a Wi-Fi network under a wireless router is determined; when the first device is in the offline state, the first device is connected to at least one second device in Wi-Fi connection with the wireless router; and the first device establishes a communication connection with the wireless router by means of the second device. According to the method provided by the disclosure, an offline terminal can establish a communication connection with the wireless router by means of other terminals under the wireless router.

Abstract: A solution for capacity planning includes: for each of a plurality of fulfillment centers (FCs), receiving an inventory allocation; receiving a demand forecast and delivery time information for customer orders; performing a simulation comprising: partitioning a simulation period into multiple simulation stages; for each simulation stage: assigning portions of the demand forecast to a demand pool for one of the FCs; for each FC, determining a backlog, based at least on the demand pool for the FC and a simulation stage fulfillment capacity for the FC; and transferring each existing backlog to a subsequent simulation stage or an alternate FC; and based at least on the simulation, generating at least one planning control logic action, for example, adjusting delivery time options available on an e-commerce node, identifying a change in staffing levels at one or more FCs, adjusting inventory allocation for at least one FC, or another action.

Abstract: Disclosed are a method and device for determining a driving route of a sorting robot. The method discloses: weighing and scanning on an import platform in response to a sorting robot, and determining a destination of the sorting robot on a sorting map; determining, according to the destination, a target package drop on the sorting map; identifying two dumping points on a route which is perpendicular to an import direction of the import platform among dumping points of the target package drop; respectively calculating the costs of routes from the import platform to the two dumping points; determining the dumping point corresponding to the smaller cost of route to be the target dumping point on the sorting map; determining a preferred package drop route from predetermined package drop routes to be selected from the import platform to the target dumping point; and sending a package drop task including the preferred package drop route to the sorting robot.

Abstract: A stacked half bridge converter may be configured to provide an AC output voltage from either a DC or an AC input voltage. The switching devices of the converter may be operated according to a plurality of switching sequences, each switching sequence including one or more switching patterns, each switching pattern including one or more switching states of the switching devices. The switching sequences, patterns, and states may be selected to improve operation of the converter, by regulating the voltage at a neutral point of the converter to reduce ripple, increase switching efficiency, protect the switching devices from overvoltages, and the like.

Abstract: A method of face anti-spoofing, a device and a storage medium are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied in a face recognition scene. The method includes: acquiring a face image sequence including a plurality of face images; acquiring, based on the face image sequence, a corresponding eye image sequence including a plurality of eye images; recognizing, based on the eye image sequence, a color of an optical spot caused by a pupil in each eye image, so as to obtain a pupil color recognition result; and determining a face anti-spoofing result by using the face image in the face image sequence, in response to the pupil color recognition result indicating that the face image sequence is a sequence of face images captured on site after a face recognition process is started.

Abstract: Disclosed are novel compositions and methods of using the same for the treatment of Erythropoiefic protoporphyria (EPP) and X-linked protoporphyria (XLP). Disclosed are methods and compositions related to treating Erythropoietic protoporphyria and X-linked protoporphyria. Also described are therapeutic agents that can inhibit ABCG2. For example, provided herein are therapeutic agents defined by Formula I.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A novel distributed graph database is provided that is designed for efficient graph data storage and processing on modern computing architectures. In particular a single node graph database and a runtime & communication layer allows for composing a distributed graph database from multiple single node instances.

Abstract: A solution for capacity planning includes: for each of a plurality of fulfillment centers (FCs), receiving an inventory allocation; receiving a demand forecast and delivery time information for customer orders; performing a simulation comprising: partitioning a simulation period into multiple simulation stages; for each simulation stage: assigning portions of the demand forecast to a demand pool for one of the FCs; for each FC, determining a backlog, based at least on the demand pool for the FC and a simulation stage fulfillment capacity for the FC; and transferring each existing backlog to a subsequent simulation stage or an alternate FC; and based at least on the simulation, generating at least one planning control logic action, for example, adjusting delivery time options available on an e-commerce node, identifying a change in staffing levels at one or more FCs, adjusting inventory allocation for at least one FC, or another action.

Abstract: Provided are a method and device determining a driving route of a sorting robot. The method comprises: weighting and scanning on an import platform (310) in response to a sorting robot (320), and determining a destination of the sorting robot on a sorting map; determining, according to the destination, a target package drop (330) on the sorting map; identifying two dumping points on a route which is perpendicular to an import direction of the import platform among dumping points of the target package drop; respectively calculating the costs of routes from the import platform to the two dumping points; determining the dumping point corresponding to the smaller cost of route to be the target dumping point on the sorting map; determining a preferred package drop route from predetermined package drop routes to be selected from the import platform to the target dumping point; and sending a package drop task including the preferred package drop route to the sorting robot.

Abstract: The present invention is directed to an improved purification process using additive and activated carbon for purifying resorbable polymers suitable for industrial manufacturing. The metal catalyst concentration in the purified resorbable polymers of this invention is preferably less than 1 ppm. The method can be used to obtain high molecular weight polymers that are substantially metal free.

Abstract: A method of making a synthetic hectorite-type mineral is described, along with its resulting physical and rheological properties. The synthetic hectorite-type mineral is a 2:1 phyllosilicate essentially free of aluminum, and having a trioctahedral structure with Mg2+ and Li+ occupying octahedral sites. As a hydrogel, the synthetic hectorite-type mineral has a swell index of greater than 55 mL, and a yield point of greater than 290 Pa. The method of making uses a MgO/MgCO3 buffer system, with heating for about 2 hours at temperatures of no higher than 300° C. and pressures of no higher than 600 psi.

Abstract: A new multifunctional biomass suspension deflagration test-bed is provided, which includes a closed combustion chamber. An integrated temperature and pressure sensor is arranged in the combustion chamber, and a high-speed camera and a laser concentration-measuring instrument are arranged outside the combustion chamber, which can monitor suspension deflagration. A bottom of the combustion chamber is provided with a hollow mushroom-shaped dispersion nozzle with a tray. A nozzle body is provided with a gas main-flow channel at a center thereof and gas deflected-flow channels arranged around the gas main-flow channel. A mushroom-shaped baffle plate is arranged above the nozzle body. The gas main-flow channel extends upward to the mushroom-shaped baffle plate. A vent hole is formed in a portion of the mushroom-shaped baffle plate which is corresponding to the gas main-flow channel. Each gas deflected-flow channel is inclined outward from bottom to top and directed to the mushroom-shaped baffle plate.

Abstract: The present disclosure relates to systems and methods for determining a motion of an object during imaging. The systems and methods may cause a light emission device to project a structured light onto the object, and cause a light reception device to detect light resulting from the structured light as projected onto the object and generate a plurality of measured images of the structured light based on the detected light. The systems and methods may further determine the motion of the object based on the plurality of measured images of the structured light and a reference image of the structured light.

Abstract: A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.

Abstract: A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.