Abstract: A radiographic inspection device and a method of inspecting an object are provided. The radiographic inspection device includes: a support frame, where an inspection space applicable to inspect an object is formed within the support frame, and the inspection space has an entrance and an exit which are connecting to an outside; a transfer channel applicable to carry the object to move through the inspection space; a first shielding curtain and a second shielding curtain respectively mounted at the entrance and the exit; and a driving mechanism mounted on the support frame and configured to drive at least one of the first shielding curtain and the second shielding curtain to move, in response to the object getting close to or moving away from at least one of the entrance and the exit, so as to open or close the at least one of the entrance or the exit.

Abstract: An online system accesses a machine learning model trained to predict behaviors of users of the online system, in which the model is trained based on historical data received by the online system that is associated with the users and demand and supply sides associated with the online system. The online system identifies a treatment for achieving a goal of the online system and simulates application of the treatment on the demand and supply sides based on the historical data and a set of behaviors predicted for the users. Application of the treatment is simulated by replaying the historical data in association with application of the treatment and applying the model to predict the set of behaviors while replaying the data. The online system measures an effect of application of the treatment on the demand and supply sides based on the simulation, in which the effect is associated with the goal.

Abstract: An internal-cooling rolling tool capable of realizing variable-angle low-temperature lubrication is provided. The internal-cooling rolling tool includes a tool handle, a rotatable tool head and a medium conveying tube. The rotatable tool head includes a base, a rolling head and a ball. The bottom end of the base is mounted on the tool handle, and the top of the base is provided with a medium input port connected with the medium conveying tube. The rolling head is detachably mounted on the front end surface of the base, and the front end surface of base is provided with a plurality of spray holes in the circumferential direction of the rolling head. The medium conveying tube communicates with the spray holes through a medium flow channel. The ball is mounted on one end of the rolling head facing away from the base.

Abstract: A virtual role-based multimodal interaction method, apparatus and system, a storage medium, and a terminal, where the method includes: acquiring input information, where the input information includes one or more data types; inputting the input information into a perception layer to enable the perception layer to recognize and process the input information according to a data type of the input information to obtain a recognition result; inputting the recognition result into a logic decision-making layer to enable the logic decision-making layer to process the recognition result and generate a drive instruction corresponding to the recognition result; acquiring multimodal virtual content according to the drive instruction, wherein the multimodal virtual content includes at least a virtual role; and outputting the acquired multimodal virtual content.

Abstract: Disclosed is an injection molding method for a degradable intravascular stent with a flexible mold core structure. The injection molding method includes the following steps: Step 1, winding a metal rod with a flexible metal film, and applying an inward bending stress to the flexible metal film; Step 2, fixing the flexible metal film to the metal rod, and processing a complementary structure of the degradable intravascular stent on the surface of the flexible metal film; Step 3, performing injection molding processing; Step 4, ending the injection molding, removing the mating body of the flexible metal film and the metal rod and the degradable intravascular stent formed on the surface of the flexible metal film by injection molding, performing cooling, separating the metal rod from the flexible metal film, withdrawing the metal rod, and then removing the flexible metal film to obtain a formed degradable intravascular stent.

Abstract: Disclosed is an injection molding method for a degradable intravascular stent with a flexible mold core structure. The injection molding method includes the following steps: Step 1, winding a metal rod with a flexible metal film, and applying an inward bending stress to the flexible metal film; Step 2, fixing the flexible metal film to the metal rod, and processing a complementary structure of the degradable intravascular stent on the surface of the flexible metal film; Step 3, performing injection molding processing: Step 4, ending the injection molding, removing the mating body of the flexible metal film and the metal rod and the degradable intravascular stent formed on the surface of the flexible metal film by injection molding, performing cooling, separating the metal rod from the flexible metal film, withdrawing the metal rod, and then removing the flexible metal film to obtain a formed degradable intravascular stent.

Abstract: Systems and methods for recognizing a gesture in a wearable device are disclosed. The system may sense a plurality of sensor measurements during a gesture sensing session, and down-sample the measurements using an adaptive down-sampling interval. The adaptive down-sampling interval may be determined based at least on a fractional part of a ratio of a frame length of the sensor measurements to a specified target length shorter than the frame length. The magnitude of the down-sampled measurements is normalized, and a feature vector may be generated using the normalized measurements. A gesture recognizer module may associate a gesture with the feature vector using gesture classification.

Abstract: Technologies for gesture recognition using downsampling are disclosed. A gesture recognition device may capture gesture data from a gesture measurement device, and downsample the captured data to a predefined number of data points. The gesture recognition device may then perform gesture recognition on the downsampled gesture data to recognize a gesture, and then perform an action based on the recognized gesture. The number of data points to which to downsample may be determined by downsampling to several different numbers of data points and comparing the performance of a gesture recognition algorithm performed on the downsampled gesture data for each different number of data points.

Abstract: The present invention demonstrates a halfway cutter changing method for large-area microstructure cutting based on in-situation film thickness measurement, including the following steps: step 110: preparatory work; step 120: workpiece preliminary machining; step 130: transparent film coating; step 140: film thickness detection; step 150: halfway cutter changing; and step 160: machining completion. The halfway cutter changing method for the large-area microstructure cutting based on the in-situation film thickness measurement provided by the present invention implements machining of a microstructure with large area, high quality and high uniformity.

Abstract: Systems and methods for recognizing a gesture in a wearable device are disclosed. The system may sense a plurality of sensor measurements during a gesture sensing session, and down-sample the measurements using an adaptive down-sampling interval. The adaptive down-sampling interval may be determined based at least on a fractional part of a ratio of a frame length of the sensor measurements to a specified target length shorter than the frame length. The magnitude of the down-sampled measurements is normalized, and a feature vector may be generated using the normalized measurements. A gesture recognizer module may associate a gesture with the feature vector using gesture classification.

Abstract: Technologies for gesture recognition using downsampling are disclosed. A gesture recognition device may capture gesture data from a gesture measurement device, and downsample the captured data to a predefined number of data points. The gesture recognition device may then perform gesture recognition on the downsampled gesture data to recognize a gesture, and then perform an action based on the recognized gesture. The number of data points to which to downsample may be determined by downsampling to several different numbers of data points and comparing the performance of a gesture recognition algorithm performed on the downsampled gesture data for each different number of data points.

Abstract: The disclosed device features is a contacting three dimensional sole measuring device to produce accurate three dimensional renditions of the bottom of a human foot placed thereon. The device features one or a plurality of sensors groups communicating with the top surface of a case. Each sensor group is dimensioned to accommodate the area of a footprint of a human foot when placed on top of it. Each sensor group is composed of a plurality of linear displacement sensors which measure the displacement caused by the bottom surface of the foot and communicate that displacement to a data processing device which compiles a three dimensional rendition of the bottom of the foot surface from the individual data points from the displacement senors. Accurate renditions of the bottom surface of a human foot may be achieved by a person simply standing on the sensor groups barefoot.

Abstract: The disclosed device features is a contacting three dimensional sole measuring device to produce accurate three dimensional renditions of the bottom of a human foot placed thereon. The device features one or a plurality of sensors groups communicating with the top surface of a case. Each sensor group is dimensioned to accommodate the area of a footprint of a human foot when placed on top of it. Each sensor group is composed of a plurality of linear displacement sensors which measure the displacement caused by the bottom surface of the foot and communicate that displacement to a data processing device which compiles a three dimensional rendition of the bottom of the foot surface from the individual data points from the displacement senors. Accurate renditions of the bottom surface of a human foot may be achieved by a person simply standing on the sensor groups barefoot.