Abstract: A display substrate includes a base substrate, a plurality of photosensitive transistor units, a plurality of photosensitive ESD protection units, and at least one common signal line. The base substrate includes a display region, a peripheral region located at a periphery of the display region, and a binding region located at a side of the display region. The plurality of photosensitive transistor units, the plurality of photosensitive ESD protection units and the at least one common signal line are located in the peripheral region. The plurality of photosensitive transistor units is connected with binding pins in the binding region through a plurality of signal lines. At least one photosensitive ESD protection unit is connected with, and located between, at least one signal line and the common signal line.

Abstract: A display module includes a display panel with a plurality of bonding electrodes arranged at intervals along a selected side edge of a non-display surface and divided into two bonding electrode groups, a first flexible circuit board and a second flexible circuit board. For the first flexible circuit board, each first conductive contact piece in a first wiring region is connected to a bonding electrode in a first bonding electrode group. For the second flexible circuit board, each second conductive contact piece in a second wiring region is connected to a bonding electrode in a second bonding electrode group. The first wiring region is closer to the selected side edge than the second wiring region in a first direction. The first fan-out region is spaced apart from the second wiring region in a second direction perpendicular to the first direction.

Abstract: A signal processing system and method for inductive oil abrasive particle sensor, comprising a sensor, an excitation signal generator, an analog signal processing circuit, a MCU signal acquisition module and a computer signal processing module is disclosed. The sensor is provided with two groups of induction coils, the excitation signal generator generates excitation signals and drives the excitation coils of the sensor to output induction signals containing abrasive particle information, and the analog signal processing circuit receives the induction signals output by the sensor and demodulates and amplifies the induction signals. The signal processing system of the sensor applied to online monitoring of oil abrasive particles is simple in structure and convenient to apply, has a complete signal statistics and monitoring interface, and can be used to effectively monitor the size, concentration and other information of the metal abrasive particles in oil in real time.

Abstract: Systems and methods for performing optical distance measurement are provided. In one aspect, a system for measuring a distance to an object comprises a light emitter configured to emit an outbound light pulse, and a light sensor configured to receive a returning light pulse reflected from the object and output an analog pulse signal representing the returning light pulse. The system also comprises a field-programmable gate array (FPGA) coupled to the light sensor. The FPGA is configured to convert the analog pulse signal to a plurality of digital signal values, and generate a plurality of time measurements corresponding to the plurality of digital signal values. The system also comprises a controller configured to calculate the distance to the object based on the plurality of digital signal values and the plurality of time measurements.

Abstract: Apparatuses include (among other components) a first gain device connected to receive an initial voltage, a second gain device in series with the first gain device and connected to receive output of the first gain device, differential gain devices connected to receive outputs from the first gain device and the second gain device (the differential gain devices provide opposite voltage outputs from the apparatus) and high-frequency compensation feed-forward paths connected to the first gain device and the second gain device.

Abstract: The present invention relates to a CHA-like zeolitic material having an X-ray diffraction pattern including the following peaks in Table 1 in its as-synthesized form, and to a process for preparing the zeolitic material, and use of the zeolitic material for the selective catalytic reduction of NOx.

Abstract: The present disclosure relates to a performance testing device applicable to a metal fuel cell, and belongs to the field of metal fuel cells. Self-adaptive clamping equipment can be used for autonomously positioning and clamping galvanic piles with different sizes and shapes, and can be self-adaptively fixed according to the shapes. Sealing performance testing equipment is used for testing the sealing performance of the metal fuel cell through a testing pool. Discharge performance testing equipment is used for testing the discharge performance of the metal fuel cell. According to the performance testing device, two performances of sealing and discharging can be tested at the same time, perfusion of different electrolytes and measurement of galvanic piles composed of different numbers of single cells with different sizes can be realized, and the compatibility requirement of large-batch and multi-type cells delivered from a factory is met.

Abstract: A display panel (10) includes a circuit backplane (1) and a reflective layer (3). The circuit backplane (1) includes a first main surface (11), a second main surface (12), and a plurality of side surfaces (13). The second main surface (12) is disposed opposite to the first main surface (11). The side surfaces (13) each connect the first main surface (11) and the second main surface (12). At least one side surface in the plurality of side surfaces (13) is a selected side surface (13a). The selected side surface (13a) is covered by the reflective layer (3), the reflective layer (3) being configured to be removed under a predetermined process condition.

Abstract: A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.

Abstract: The present invention relates to the technical field of fault location of distributed energy resources connected flexible DC distribution network, and disclosed a fault location method, system and application of bipolar short-circuit of two-level VSC-type photovoltaic-connected flexible DC distribution network, wherein, directions of positive currents of DC feeders during fault are used to locate a fault section; a bipolar short-circuit distance measurement model covering interactions and responses of systems is established according to equivalent circuits of transient periods; and fault location is done by obtaining a distance to fault with electric parameters and information of the fault.

Abstract: Methods and systems for determining transmission power levels according to signal types and RF exposure limits. An example method generally includes determining a first transmission power for transmitting a first type of uplink (UL) signal, determining a second transmission power for transmitting a second type of UL signal based on the first transmission power, and transmitting at least one of the first UL signal according to the first transmission power or the second UL signal according to the second transmission power.

Abstract: Disclosed is a charging station capable of realizing mutual capacity aid, which comprises a plurality of charging units, a power bus and a mutual capacity aid bus. Each charging unit is powered by the power bus, and each charging unit provides mutual aid capacity for another charging unit through the mutual capacity aid bus or receives mutual aid capacity from other charging units through the mutual capacity aid bus. The charging station can realize rapid charging of electric vehicles, and can also realize mutual capacity aid.

Abstract: Provided is a steam jet multifunctional aircraft deicing vehicle with steam jet, includes a vehicle body, where a steam generating assembly is arranged in the vehicle body, and the steam generating assembly is connected with a steam conveying assembly. A moving assembly is rotatably connected above the vehicle body, and the moving assembly is rotatably connected with an execution assembly. The execution assembly includes a first spray head assembly and a second spray head assembly. The steam conveying assembly includes a first supercharger and a second supercharger arranged side by side, where an air outlet end of the first supercharger is communicated with one end of a first air outlet pipe, and an other end of the first air outlet pipe is communicated with spray heads of the second spray head assembly through a first air pipeline.

Abstract: The application provides a driving circuit. The circuit includes: a segment display, including a plurality of light-emitting units; a controller, configured to generate a control instruction for the segment display according to a configuration signal; a digital driver, connected to the controller, and configured to generate a pulse driving signal according to the control instruction from the controller; and an amplification circuit, with one end being connected to the digital driver and the other end being connected to the plurality of light-emitting units of the segment display. The application also provides a magnetic sensing circuit and an electrical device. The magnetic sensing circuit includes a magnetic sensor, a sensing selection circuit, and a result representation circuit. A plurality of magnetic sensors are provided, and at least some of the plurality of magnetic sensors are capable of being connected to the sensing selection circuit by a sensing output terminal.

Abstract: A method for displaying a prompt text is provided, which belongs to the field of computer technologies. The method includes: collecting content information generated in a speaking process of a target object; obtaining identification information by identifying the content information, the identification information indicating speaking progress of the target object; and displaying the prompt text based on the identification information, so that a prompt text fragment as highlighted in the prompt text matches the speaking progress of the target object.

Abstract: Disclosed are a control method for a bidirectional DC converter, a control module for a bidirectional DC converter, a bidirectional DC converter, and a non-transitory computer-readable storage medium. The control method includes: determining an operating mode of the bidirectional DC converter according to an input voltage and an output voltage; respectively determining a duty cycle of a drive signal of the first switch transistor, a duty cycle of a drive signal of the second switch transistor, a duty cycle of a drive signal of the third switch transistor, and a duty cycle of a drive signal of the fourth switch transistor according to the operating mode of the bidirectional DC converter; and providing drive signals to gates of the first switch transistor, the second switch transistor, the third switch transistor and the fourth switch transistor respectively.

Abstract: A ripple detection device and a ripple suppression device. The ripple detection device includes: a ripple sampling unit, at least two DC sampling units, and a digital signal processing unit; the ripple sampling unit outputs a first voltage signal at an output port of a non-isolated DC/DC bidirectional energy conversion unit to the digital signal processing unit; the DC sampling unit outputs a first DC signal in a second voltage signal at a connected port of the non-isolated DC/DC bidirectional energy conversion unit to the digital signal processing unit and blocks an AC signal in the second voltage signal to be output to the digital signal processing unit; the digital signal processing unit determines a ripple noise signal at the output port of the non-isolated DC/DC bidirectional energy conversion unit according to the first voltage signal and the first DC signal.

Abstract: According to at least one example of the disclosure, a power amplifier system is provided comprising an amplifying transistor configured to amplify a radio frequency signal, a bias circuit configured to provide a bias voltage to the amplifying transistor, and a clamp circuit for protecting the power amplifier system by absorbing a current flowing through the amplifying transistor when the clamp circuit is switched on. The clamp circuit is connected at a bias node between the bias circuit and the amplifying transistor and includes a clamp transistor and a clamp diode, the clamp diode having one end connected to a collector of the clamp transistor at the bias node and another end connected to a base of the clamp transistor.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and/or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders.