Abstract: A computed tomography (CT) machine system and a state monitoring method are described. The CT machine system comprises a drum-shaped component, a 3D camera, and a control system. The drum-shaped component comprises a cylindrical body, with the center of the cylindrical body being provided with a hollow portion which is rotationally symmetrical about the central axis of the cylindrical body, a rotating component disposed in the cylindrical body rotating about the central axis, a plurality of trigger marks arranged in the rotating component, and a window provided in the cylindrical body. The 3D camera generates image data that is transferred to the control system, from which the control system determines state data of the CT machine. The 3D camera captures an image of the trigger marks through the window to generate marked image data.

Abstract: A method for extracting and analyzing spatial information of a control and protection zone of rail transit with multiple threshold constraints, including the following steps: 1, performing format conversion on a data file and extracting a plurality of coordinate points; 2, selecting key points from the plurality of coordinate points for data simplification to obtain a simplified limit line, a simplified outer structure edge line and a simplified boundary line of construction; 3, programming the simplified limit line, the simplified outer structure edge line, and the simplified boundary line of construction, calling a database, and reading data therefrom for spatial relationship comparison; 4, determining whether the construction of a rail-involved construction project intrudes into a control and protection zone of rail transit according to a result of the spatial relationship comparison, thus completing the extraction and analysis of the spatial information of the control and protection zone of rail transit.

Abstract: The present invention provides an action recognition method and system thereof. The action recognition method comprises: capturing a 2D image and a depth image at the same time, extracting an 2D information of the human skeleton points from the 2D image and correcting it, mapping the 2D information of the human skeleton points to the depth image to obtain the corresponding depth information with respect to the 2D information of the human skeleton points and combining the corrected 2D information of the human skeleton points and the depth information to obtain the 3D information of the human skeleton points, and finally recognizing an action from a set of 3D information of the human skeleton points during a period of time by a matching model.

Abstract: The present invention provides an action recognition method and system thereof. The action recognition method comprises: capturing a 2D image and a depth image at the same time, extracting an 2D information of the human skeleton points from the 2D image and correcting it, mapping the 2D information of the human skeleton points to the depth image to obtain the corresponding depth information with respect to the 2D information of the human skeleton points and combining the corrected 2D information of the human skeleton points and the depth information to obtain the 3D information of the human skeleton points, and finally recognizing an action from a set of 3D information of the human skeleton points during a period of time by a matching model.

Abstract: A video condensation & recognition method and a system thereof are used to detect objects in input frames, derive a 3D object trajectory from which one or multiple 2D trajectories with object tubes are extracted, and catch a time position that refers to non-overlapping condition of object tubes for rearrangement of several continuous object tubes and creation of a condensed video. The generated condensed video can be adjusted by the user in the range of longest detected object tube to the generated condensed video length that is very beneficial for video analysis process. Moreover, a searched attribute of an object in a condensed video is classified for the filtering process which is able to display an object correlated with a distinct searched attribute on the condensed video.

Abstract: A behavior recommendation apparatus, behavior recommendation method, and non-transitory computer readable storage medium thereof are provided. The behavior recommendation apparatus stores a digital twin model, wherein the digital twin model outputs a predicted parameter set after being inputted a behavior sequence and a monitored parameter set. The behavior sequence includes a plurality of behaviors in a first sequence and quantized data. The behavior recommendation apparatus receives the monitored parameter set and an objective, wherein the objective corresponds to a particular parameter in the monitored parameter set. The behavior recommendation apparatus generates a recommended behavior sequence according to the particular parameter, the monitored parameter set, the digital twin model, and a plurality of simulated behavior sequences and displays the recommended behavior sequence on an operation interface.

Abstract: Reverse iodine transfer polymerization of an ethylenically unsaturated monomer comprising (meth)acrylic acid, salt thereof, or combination thereof, in the presence of a radical polymerization initiator, an oxidant, an iodide salt, and a solvent, is a useful method for making (meth)acrylic acid polymers. The amounts of components utilized can be 5 to 500 equivalents of the ethylenically unsaturated monomer comprising (meth)acrylic acid, salt thereof, or combination thereof, in the presence of 1 to 3 equivalents of the radical polymerization initiator, 0.2 to 1 equivalent of the oxidant, and 1 equivalent of the iodide salt. (Meth)acrylic acid polymer solutions are made by these methods. The (meth)acrylic polymers are useful as dispersants.

Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

Abstract: Iodine transfer radical polymerization of an ethylenically unsaturated monomer comprising (meth)acrylic acid, salt thereof, or combination thereof, in the presence of a radical polymerization initiator, an organoiodide, and a solvent, is a useful method for making (meth)acrylic acid polymers. The amounts of components utilized can be 2 to 100 equivalents of acrylic acid and 2 to 100 equivalents of sodium acrylate, both dissolved in water to form a 15 to 50 weight percent solution, based on the total weight of the acrylic acid, sodium acrylate, and water; 0.05 to 1 equivalent of an azo polymerization initiator, 1 equivalent of an organoiodide; and 0 to 3 equivalents of an iodide salt. (Meth)acrylic acid polymer solutions are made by these methods. The (meth)acrylic polymers are useful as dispersants.

Abstract: In one example, an electronic device may include a power adapter having a connector plug. Further, the electronic device may include a housing and a connector port disposed on a side of the housing to receive the connector plug of the power adapter. The connector port may include an electromagnet disposed on a mating end of the connector port and a first conductive contact disposed on the mating end and electrically connected to the electromagnet. When the connector port being mated with the connector plug, the first conductive contact may receive power from a second conductive contact of the connector plug and energize the electromagnet to produce magnetic attraction with a magnetic element in the connector plug.

Abstract: An electronic device and a method for document segmentation are provided. The method includes: obtaining a first feature map and a second feature map corresponding to an original document; performing a first upsampling on the second feature map to generate a third feature map; concatenating the first feature map and the third feature map to generate a fourth feature map; inputting the fourth feature map to a first inverted residual block (IRB) and performing a first atrous convolution operation based on a first dilation rate to generate a fifth feature map; inputting the fourth feature map to a second IRB and performing a second atrous convolution operation based on a second dilation rate to generate a sixth feature map; concatenating the fifth feature map and the sixth feature map to generate a seventh feature map; performing a convolution operation on the seventh feature map to generate a segmented document.

Abstract: A video condensation & recognition method and a system thereof are used to detect objects in input frames, derive a 3D object trajectory from which one or multiple 2D trajectories with object tubes are extracted, and catch a time position that refers to non-overlapping condition of object tubes for rearrangement of several continuous object tubes and creation of a condensed video. The generated condensed video can be adjusted by the user in the range of longest detected object tube to the generated condensed video length that is very beneficial for video analysis process. Moreover, a searched attribute of an object in a condensed video is classified for the filtering process which is able to display an object correlated with a distinct searched attribute on the condensed video.

Abstract: The present invention provides a point cloud data acquisition method and device under a situation of no GNSS signal. The method comprises: re-sampling line data acquired from a topographic map to obtain discrete line data; generating a full-second PPS pulse in a simulating manner; counting by using a distance measuring instrument, sampling the count, when it is detected that the full-second PPS pulse is received, calculating position information at a current moment; simulating a GNSS satellite protocol according to the position information at the current moment; parsing the GNSS satellite protocol by using a point cloud data acquisition module to complete time synchronization, and controlling a LiDAR to acquire point cloud data; parsing the GNSS satellite protocol by using an inertial measurement module, and recording attitude determination positioning data in real time to generate POS data; and optimizing the POS data to obtain accurate point cloud data.

Abstract: A determination apparatus and method for gaze angle are provided. The apparatus analyzes an image to generate a plurality of facial triaxial positioning values and a plurality of facial landmark points. The apparatus obtains a plurality of specific facial landmark points from the facial landmark points to generate a heatmap, and compares the heatmap with a standard heatmap to generate an image compensation value. The apparatus performs a facial correcting process based on the image and the image compensation value to generate a virtual corrected image. The apparatus analyzes the virtual corrected image to obtain a displacement of pupil. The apparatus determines a gaze angle of a user according to a determination model for gaze angle, the facial triaxial positioning values and the displacement of pupil.

Abstract: An ultrasonic diagnostic imaging system and method are presented in which the balance between image resolution and frame rate (Res/Speed) and the balance between image resolution and penetration (Pen/Gen/Res) are automatically adjusted in response to image content. A motion detector analyzes the relative motion between successive images. If the motion content is relatively high, the imaging parameters are changed in favor of relatively greater frame rate and reduced resolution. A low motion content causes the opposite adjustment. The electronic noise between successive images is also computed with a relatively high noise content (low correlation) in the far field resulting in an adjustment to penetration as by lowering the transmit frequency. A relatively low noise content causes an adjustment in favor of increased resolution.

Abstract: A computer-implemented method for a monitoring device being executed by a processor of the monitoring device comprises acquiring at least two kinds of physiological signals via a sensor of the monitoring device, obtaining a signal quality index of each of the at least two kinds of physiological signals by the processor of the monitoring device, providing a homologous physiological parameter value corresponding to each of the at least two kinds of physiological signals by the processor of the monitoring device, and fusing the homologous physiological parameter values based on the signal quality index of each of the at least two kinds of physiological signals and providing a fused value of the homologous physiological parameter values by the processor of the monitoring device. The disclosed physiological parameter processing method avoids disadvantages caused by relying on a single physiological signal.

Abstract: Disclosed are a system and method for micro-nano machining by femtosecond laser two-photon polymerization. The system includes: a femtosecond laser, an external light path modulation unit, an image capture apparatus, a focusing lens, a displacement platform, a computer and a monitoring apparatus, where the image capture apparatus is configured to capture cross-section graphs of a three-dimensional micro-nano device layer by layer, so that modulated femtosecond lasers form parallel beams arranged according to all layers of the cross-section graphs.

Abstract: A determination apparatus and method for gaze angle are provided. The apparatus analyzes an image to generate a plurality of facial triaxial positioning values and a plurality of facial landmark points. The apparatus obtains a plurality of specific facial landmark points from the facial landmark points to generate a heatmap, and compares the heatmap with a standard heatmap to generate an image compensation value. The apparatus performs a facial correcting process based on the image and the image compensation value to generate a virtual corrected image. The apparatus analyzes the virtual corrected image to obtain a displacement of pupil. The apparatus determines a gaze angle of a user according to a determination model for gaze angle, the facial triaxial positioning values and the displacement of pupil.

Abstract: A simulation device and method are provided. The simulation device includes an interface, a storage, and a processor. The storage stores a plurality of digital twin models, each of the digital twin models simulates one entity of the at least one production line. The processor performs the following operations: generating a plurality of task requirements according to a production specification and a production data; broadcasting the task requirements to each of the digital twin models that meets one of the task requirements, wherein each of the digital twin models generates a state report based on the received task requirements; generating a plurality of task twin models based on the state reports, wherein each of the task twin models includes a group of digital twin models corresponding to the task requirements; and generating a plurality of simulation results according to the task twin models.

Abstract: A method for establishing relational data includes: providing, by a positioning system, user device identity data, user device location data, and user device time data of a user device; capturing, by a camera, an image corresponding to type-of-product data, image location data, and image time data; identifying, by the computer device, a human activity of a person in the image; and producing, by the computer device, relational data for associating the user device identity data and the type-of-product data according to the human activity of the person, the user device identity data, the user device location data, the user device time data, the type-of-product data, the image location data, and the image time data.