Abstract: A detection element and a verification system are disclosed. The detection element includes a detection end for contacting a feature portion of the osteotomy guide tool; and a positioning target connected to the detection end and configured to provide a pose parameter of the feature portion of the osteotomy guide tool in a coordinate system of a trackable element. With this configuration, the osteotomy guide tool can be verified to avoid deformation of the osteotomy guide tool during repeated use or transportation, affecting its positioning accuracy and affecting the operation.

Abstract: The present disclosure discloses a planar magnetic element and a manufacturing method thereof. The planar magnetic element includes: a housing, with an internal space; a core, accommodated in the internal space of the housing, and the core including at least one limb; at least one planar winding corresponding to the limb; and potting adhesive, filled in all air gaps in the internal space of the magnetic element, and blocking the clearance and creepage path between the planar winding and the core and/or between the two planar windings. The present disclosure may significantly reduce the volume of the magnetic element and greatly increase the partial discharge extinction voltage, thereby reducing the partial discharge risk of the magnetic element and improving the reliability. Moreover, the compact structure of the planar magnetic element is conducive to improving the power density of the module.

Abstract: A multi-procedure integrated automatic production line for hard alloy blades under robot control is provided. The production line includes a rail-guided robot. A cutter passivation device and a blade cleaning and drying device are arranged on one side of the rail-guided robot. A blade-coating transfer table, a blade coating device, a blade boxing transfer table, a blade-tooling dismounting device and a blade boxing device are sequentially arranged on another side of the rail-guided robot. The blade-tooling dismounting device is arranged on one side of the blade boxing transfer table. The production line further includes squirrel-cage toolings for carrying the blades. The squirrel-cage tooling that are loaded with the blades can run among the cutter passivation device, the blade cleaning and drying device, the blade-coating transfer table and the blade boxing transfer table. The blades after being treated through the blade-tooling dismounting device are sent to the blade boxing device.

Abstract: A new variable selective etching technology for thick SOI devices. An SOI material is etched by the following steps: (1) providing an SOI wafer; (2) depositing a composite hard mask with a variable selection ratio to replace a traditional hard mask with an invariable selection ratio; (3) applying a photoresist; (4) mask making, namely defining a to-be-etched region by using a photoetching plate; (5) etching the photoresist in the defined region; (6) etching the composite hard mask; (7) removing the photoresist; (8) etching top silicon by using a second etching method at a first selection ratio; and (9) etching a buried oxide layer by using a third etching method at a second selection ratio. The new variable selective etching technology avoids the damage to a side wall of a deep trench when the buried oxide layer is etched, and does not need to use an excessive thick hard mask.

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

Abstract: Provided include a beam modulation apparatus for modulating an input light field and a projection system containing the apparatus. The input light field has a first light field and a second light field, having a difference of 90° in their polarization states. The apparatus includes a PBS prism, a first LCOS panel and a second LCOS panel. The first and the second LCOS panel are respectively over a side surface of the PBS prism opposing to an optical incident surface and an optical exit surface. Each LCOS panel comprises a plurality of pixels over a reflective surface thereof, with each pixel controllably switched on or off such that a polarity state of a light beam reflected by a portion of the reflective surface corresponding thereto is changed or remains unchanged. This beam modulation apparatus can be applied in a projection system, such as a laser TV projection system.

Abstract: The disclosure discloses a method and device for monitoring partial discharge. The monitoring method including: step a, connecting a monitoring circuit in parallel to both ends of a tested product, disposing a ground wire between the monitoring circuit and ground, disposing a first sensor in the monitoring circuit, and disposing a ground wire sensor on the ground wire; step b, applying an excitation signal to the tested product, acquiring a first signal through the first sensor and acquiring a ground wire signal through the ground wire sensor within a monitoring cycle; and step c, determining whether the tested product has partial discharge through the first signal and the ground wire signal. The disclosure can avoid the partial discharge monitoring device from wrongly determining an interference signal to be a partial discharge signal, enhance anti-interference capability of the partial discharge monitoring device, and improve monitoring accuracy.

Abstract: A touch circuit includes: a touch IC; a first pull-up sub-circuit; a second pull-up sub-circuit; a first switching sub-circuit configured to transmit a signal from a data signal input terminal to a data signal port under control of a signal from a first signal input terminal; and a second switching sub-circuit configured to transmit a signal from a clock signal input terminal to a clock signal port under control of the signal from the first signal input terminal. The signal from the data signal input terminal is transmitted to the first switching sub-circuit earlier than the signal from the first signal input terminal, and the signal from the clock signal input terminal is transmitted to the second switching sub-circuit earlier than the signal from the first signal input terminal.

Abstract: The disclosure discloses a method and device for detecting insulation state in a conversion system, wherein the conversion system includes an excitation source, a converter having an input end coupled to the excitation source, a connection element coupled between an output end of the converter and a reference point, and a coupling impedance having a first end coupled to the excitation source and a second end coupled to the reference point, the method for detecting insulation state including steps of: S1, controlling at least one main power switch of the converter not to switch; S2, detecting a pulse current signal of the connection element; and S3, processing the pulse current signal and outputting a partial discharge information, the partial discharge information indicating an insulation state of an isolating transformer in the converter. The disclosure can overcome electromagnetic interference of high frequency steep waves on a partial discharge signal.

Abstract: A vehicle-mounted electronic device includes a first housing; one or more camera modules; a lifting drive mechanism configured to drive the one or more camera modules to be lifted up and down inside or outside the first housing; and a rotation drive mechanism configured to drive the one or more camera modules to rotate.

Abstract: An islanding detection method includes: an alternating current frequency of an inverter is monitored. The alternating current frequency fluctuates within a preset range when in a normal mode. When an instantaneous shifting value of the alternating current frequency exceeds the preset range, a frequency detected before instantaneous shifting is a first frequency. When a frequency in first frequency data within a first preset time period is greater than or less than only the first frequency, an alternating current frequency detected when the first preset time period ends is a second frequency. Output power of the inverter is continuously adjusted based on a change in the current alternating current frequency. When a frequency in second frequency data within a second preset time period is greater than or less than only the second frequency, it may be indicated in time that islanding occurs in the inverter, and an islanding status is reported.

Abstract: A circuit for preventing false turn-on of a semiconductor switching device includes an active clamp circuit, a control circuit, a power amplifier circuit, and a suppression circuit. The control circuit is coupled to an input of the power amplifier circuit. An output of the power amplifier circuit is coupled to a gate of the semiconductor switching device. The active clamp circuit is configured to operate within a preset period when a voltage between the first end of the semiconductor switching device and a second end of the semiconductor switching device is greater than a preset voltage. The suppression circuit includes a controllable switch, which is configured to turn on after the operation of the active clamp circuit is completed, such that potential at the input of the power amplifier circuit is clamped to a fixed potential.

Abstract: A charging system includes a multi-pulse transformer, n AC-DC conversion units, n power supply terminals and a charging scheduling apparatus. A plurality of secondary windings of the multi-pulse transformer form n winding pairs. The n AC-DC conversion units are coupled to the n winding pairs in a one-to-one correspondence. The n power supply terminals are coupled to the n AC-DC conversion units in a one-to-one correspondence. The charging scheduling apparatus are configured to detect the number of charging devices and states of the power supply terminals, and determine M target winding pairs from the n winding pairs for supplying power to the charging devices. The M target winding pairs include a winding pair distributed close to a first end of the magnetic core and a winding pair distributed close to a second end of the magnetic core.

Abstract: A touch circuit includes: a touch IC; a first pull-up sub-circuit; a second pull-up sub-circuit; a first switching sub-circuit configured to transmit a signal from a data signal input terminal to a data signal port under control of a signal from a first signal input terminal; and a second switching sub-circuit configured to transmit a signal from a clock signal input terminal to a clock signal port under control of the signal from the first signal input terminal. The signal from the data signal input terminal is transmitted to the first switching sub-circuit earlier than the signal from the first signal input terminal, and the signal from the clock signal input terminal is transmitted to the second switching sub-circuit earlier than the signal from the first signal input terminal.

Abstract: The subject disclosure relates to techniques for maintaining an optimized mix of samples selected from a smaller data set and a larger data set for use in training a machine learning algorithm. A process of the disclosed technology can include creating a plurality of chunks of samples, wherein each chunk contains a predetermined proportion of samples from the smaller data set and the larger data set, while also including substantially all samples in the larger dataset are distributed across the plurality of chunks of samples, loading a first chunk of samples of the plurality of chunks of samples into a memory, randomizing the order of samples in the first chunk of samples, and providing the samples in the first chunk of samples in the randomized order into the machine learning algorithm.

Abstract: Disclosed are systems, apparatuses, methods, and computer-readable media to train a neural network model implemented into a perception stack in an autonomous vehicle (AV) for detecting objects. A method includes pretraining an uninitialized ML model to yield a first ML model; training the first ML model with a first testing dataset for a first number of iterations based on a first configuration; analyzing the first ML model based on a convergence of the first ML model and a previous iteration of training; generating a report based on the analysis of the first ML; and after generating the report, training the first ML model to yield a second ML model.

Abstract: A power converter includes a PCB having opposing first and second sides, and a plurality of first commutation units and first capacitor unit disposed on the PCB. Each first commutation unit includes a first discrete component and a second discrete component. The second end of the first discrete component is electrically coupled to the first end of the second discrete component, and the first capacitor unit is electrically coupled to the first ends of the first discrete components and the second ends of the second discrete components in the plurality of first commutation units, respectively. The first discrete components and the second discrete components in the plurality of first commutation units are arranged in a row. The first discrete component and the second discrete component in each first commutation unit form a commutation loop together with the first capacitor unit.

Abstract: Provided is a hybrid DC chained energy storage converter, including: a positive DC bus; a negative DC bus; a main circuit inductor; at least one high frequency sub module, including a first switch circuit and a first capacitor connected in parallel; a plurality of low frequency sub modules each including a second switch circuit and an energy storage element connected in parallel, the main circuit inductor, the at least one high frequency sub module and the plurality of low frequency sub modules being connected in series to form a series branch, and the series branch being connected to the positive DC bus and the negative DC bus, respectively; and a controller, coupled to the first switch circuit of the at least one high frequency sub module and second switch circuits of the plurality of low frequency sub modules, respectively.

Abstract: The subject disclosure relates to techniques for identifying keypoints associated with an object based on LiDAR point cloud data. A process of the disclosed technology can include inputting the LiDAR point cloud data representing an object as perceived by a LiDAR sensor into an algorithm trained to identify the keypoints associated with the object, and identifying, by the algorithm, at least one keypoint associated with the object and a respective confidence score for the at least one keypoint.

Abstract: The subject disclosure relates to techniques for improving performance of a machine learning algorithm that at least receives data descriptive of a 3-D object and provides an output, where the 3-D object occurs infrequently in a training dataset. A process of the disclosed technology can include determining that the machine learning algorithm performed below a threshold performance score when receiving data descriptive of the 3-D object in a real-world scene, wherein the 3-D object is classified as a first type of object, creating at least one 3-D representation of the first type of object for use in a simulation, modifying a plurality of simulated scenes to include the at least one 3-D representation of the first type of object, and training the machine learning algorithm with the modified simulated scenes, whereby the machine learning algorithm has greater exposure to the first type of object.