Abstract: A modular pneumatic somatosensory device comprises a main body, a plurality of airbags, a plurality of inflating modules and a control module. The airbags are detachably disposed at different positions of the main body, and at least a part of the airbags have different sizes. The inflating modules are detachably disposed on the main body, and each inflating module is correspondingly connected with at least one of the airbags. The control module is detachably disposed on the main body and is electrically connected with the inflating modules. The control module controls the inflating modules to inflate the corresponding airbags according to a control signal.

Abstract: This disclosure relates to the field of artificial intelligence, and discloses a data processing method. The method includes: obtaining a transformer model including a target network layer and a target module; and processing to-be-processed data by using the transformer model, to obtain a data processing result. The target module is configured to: perform a target operation on a feature map output at the target network layer, to obtain an operation result, and fuse the operation result and the feature map output, to obtain an updated feature map output. In this disclosure, the target module is inserted into the transformer model, and the operation result generated by the target module and an input are fused, so that information carried in a feature map output by the target network layer of the transformer model is increased.

Abstract: A method is provided for quantizing a neural network model performed by a processing system. The method comprises determining a scaling factor based on a distribution of weights associated with the neural network model, determining quantized weights based on the scaling factor and the weights associated with the distribution, determining a training loss of the neural network model based on the quantized weights during training of the neural network model, and determining an updated scaling factor for the neural network model based on a gradient of the training loss.

Abstract: The present application provides an audio and video playing system, a playing method and a playing device. The system comprises: a display device; a directional sound output module configured to output a directional sound signal; a tracking element configured to monitor a target visual area and to monitor the target display area on the display screen; and a processor, connected with the directional sound output module and the tracking element respectively, and configured to acquire a first audio and video data to be output in the target display area, display image information of the first audio and video data in the target display area, and output sound information of the first audio and video data to the directional sound output module such that the directional sound output module output a directional sound signal towards the target visual area.

Abstract: A whole-vehicle-based method for evaluating extreme pressure and antiwear properties of grease includes injecting the grease onto a key bearing pin and causing the engineering machine to operate without load is disclosed. The method includes causing the engineering machine to operate under a load of 10% to 150% rated load at least once, viewing and analyzing a wear condition of a surface of the bearing pin, and issuing a whole-vehicle-based evaluation report of extreme pressure and antiwear properties of grease. The engineering machine is caused to operate once under a load of 10% to 150% rated load for 0.5 min to 100 h.

Abstract: The present disclosure relates to a radar ranging system based on a true random generator and a ranging method thereof The present disclosure adopts the following technical scheme: the system comprises a radar signal modulation and transmission unit and a radar signal receiving and processing unit, wherein the radar signal modulation and transmission unit inputs and stores a true random binary sequence generated by the true random generator in a memory, and cyclically outputs the true random binary sequence to a BPSK modulator for phase modulation. The receiving and amplifying unit receives the reflected radar signal. The down-sampling unit down samples the intermediate frequency signal generated by the mixers. The data processing unit converts the sampled analog signal into a digital signal and cross-correlates the signal with the true random binary sequence in the memory, so as to obtain the distance to the object side to be measured.

Abstract: A server chassis includes a housing, a support frame, and a back plate. The housing includes a substrate. A fixing portion is vertically disposed on the substrate and is fixedly connected with the back plate. The support frame is fixedly connected with the substrate. A first protrusion is disposed on the support frame and is inserted into the back plate. The interior of the server chassis is rendered more compact, and the server chassis can accommodate eight hard disks. A server including the server chassis is also disclosed.

Abstract: One or more signals are received from one or more sensors. Based at least in part on the one or more signals, a location of a person relative to one or more locations of an autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative that the autonomous self-moving device has detected a presence and location of the person is generated. Based at least in part on the one or more signals, a location of a person relative to a location of the autonomous self-moving device is determined. A planned path for the autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative of the planned path is generated.

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: An embodiment includes detecting an interface element and an element attribute of the interface element in a series of views of a user interface, and then after an update of the user interface, detecting a candidate element and a candidate element attribute in a series of views of the updated user interface. The embodiment then determines that the updated user interface lacks any errors using a decision tree that includes comparisons of all interface elements of the user interface to corresponding candidate elements of the updated user interface. The embodiment then generates an optimized decision tree based at least in part on an analysis of the comparisons of the user interface to the updated user interface resulting in a condition that allows for the determining of a lack of errors based on comparisons of a subset of the interface elements to corresponding candidate elements.

Abstract: A method for rendering GIS point data is provided, this method includes: receiving a rendering instruction that carries a geographic region range to be rendered; selecting GIS point data corresponding to the geographic region range; generating, by execution of a canvas object generation thread, a canvas object corresponding to the selected GIS point data; and displaying the generated canvas object on a screen by execution of a display thread, continuing to obtain a remaining GIS point data, and generating a canvas object corresponding to the remaining GIS point data by execution of the canvas object generation thread, when or after the canvas object is displayed.

Abstract: An approach is provided in which the approach captures a first user activity log of a first user accessing multiple systems and captures a set of second user activity logs of a set of second users accessing the multiple systems. The approach determines a set of system monitoring preferences based the first user activity log and the set of second user activity logs, and scores the multiple systems based on the set of system monitoring preferences. The approach generates a recommended system monitoring list based on the scored multiple systems, and transmits the recommended system monitoring list to the first user.

Abstract: A method for receiving an audiovisual data set that includes audio and/or visual content, receiving a topical data set that includes an indication of, at least, the plurality of topics and the plurality of subtopics, receiving a time mapping data set that maps each topic and subtopic to an associated time point in the audio and/or visual content, creating a mind map diagram, and presenting the mind map to a user.

Abstract: A server chassis includes a housing, a support frame, and a back plate. The housing includes a substrate. A fixing portion is vertically disposed on the substrate and is fixedly connected with the back plate. The support frame is fixedly connected with the substrate. A first protrusion is disposed on the support frame and is inserted into the back plate. The interior of the server chassis is rendered more compact, and the server chassis can accommodate eight hard disks. A server including the server chassis is also disclosed.

Abstract: Disclosed is a method for calculating combustion in the bed of a waste incinerator. The method is based on a model of combustion in a waste incinerator bed and comprises a water evaporation model, a volatile matter analysis model, a volatile matter combustion model, and a fixed carbon combustion model. The volatile matter of the volatile matter combustion model comprises CO, H2, CH4, NH3, and H2S. The volatile matter combustion model comprises a combustion reaction equation for said volatile matter and O2, and respective equations for CO and CH4 reacting with water vapor. Equations governing the model of combustion in the bed of a waste incinerator comprise a continuity equation, an energy equation, a momentum equation, and a component equation. Boundary conditions of said governing equations comprise: equations of heat transfer and mass transfer from an upper boundary layer of the bed to the exterior; and equations of heat transfer and mass transfer from lower boundary layer of the bed to the exterior.

Abstract: Disclosed is a method for calculating combustion in the bed of a waste incinerator. The method is based on a model of combustion in a waste incinerator bed and comprises a water evaporation model, a volatile matter analysis model, a volatile matter combustion model, and a fixed carbon combustion model. The volatile matter of the volatile matter combustion model comprises CO, H2, CH4, NH3, and H2S. The volatile matter combustion model comprises a combustion reaction equation for said volatile matter and O2, and respective equations for CO and CH4 reacting with water vapor. Equations governing the model of combustion in the bed of a waste incinerator comprise a continuity equation, an energy equation, a momentum equation, and a component equation. Boundary conditions of said governing equations comprise: equations of heat transfer and mass transfer from an upper boundary layer of the bed to the exterior; and equations of heat transfer and mass transfer from lower boundary layer of the bed to the exterior.

Abstract: One or more signals are received from one or more sensors. Based at least in part on the one or more signals, a location of a person relative to one or more locations of an autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative that the autonomous self-moving device has detected a presence and location of the person is generated. Based at least in part on the one or more signals, a location of a person relative to a location of the autonomous self-moving device is determined. A planned path for the autonomous self-moving device is determined. Based at least in part on the one or more signals, data indicative of the planned path is generated.

Abstract: Processes for removing a mask layer (e.g., doped amorphous carbon mask layer) from a substrate with high aspect ratio structures are provided. In one example implementation, a process can include depositing a polymer layer on at least a portion of a top end of a high aspect ratio structure on a substrate. The process can further include removing at least a portion of the polymer layer and the doped amorphous carbon film form the substrate using a plasma strip process. In example embodiments, depositing a polymer layer can include plugging one or more high aspect ratio structures with the polymer layer. In example embodiments, depositing a polymer layer can include forming a polymer layer on a sidewall of one or more high aspect ratio structures.

Abstract: Processes for removing a mask layer (e.g., doped amorphous carbon mask layer) from a substrate with high aspect ratio structures are provided. In one example implementation, a process can include depositing a polymer layer on at least a portion of a top end of a high aspect ratio structure on a substrate. The process can further include removing at least a portion of the polymer layer and the doped amorphous carbon film form the substrate using a plasma strip process. In example embodiments, depositing a polymer layer can include plugging one or more high aspect ratio structures with the polymer layer. In example embodiments, depositing a polymer layer can include forming a polymer layer on a sidewall of one or more high aspect ratio structures.

Abstract: Apparatus, systems, and methods for conducting a hardmask (e.g., boron doped amorphous carbon hardmask) removal process on a workpiece are provided. In one example implementation, a method includes supporting a workpiece on a workpiece support in a processing chamber. The method can include generating a plasma from a process gas in a plasma chamber using a plasma source. The plasma chamber can be separated from the processing chamber by a separation grid. The method can include exposing the workpiece to one or more radicals generated in the plasma to perform a plasma strip process on the workpiece to at least partially remove the hardmask layer from the workpiece. The method can include exposing the workpiece to water vapor as a passivation agent during the plasma strip process.