Abstract: A resource scheduling method implemented by a device, where the resource scheduling method includes determining a load characteristic of a frame drawing thread, where the frame drawing thread draws an image frame determining a target resource scheduling manner based on the load characteristic, and scheduling a resource for the frame drawing thread in the target resource scheduling manner.

Abstract: This application provides a method, an apparatus, and a system for determining data flow information. The method includes: obtaining flow parameters of a plurality of data flows within a first time period; obtaining at least one data flow group according to the flow parameters of the plurality of data flows and a flow parameter rule of at least one preset access mode, where a relationship between data flows in each data flow group satisfies a flow parameter rule of one preset access mode; and determining group parameters of each data flow group.

Abstract: An electronic device includes an outer case, a circuit substrate, a thermopile sensor chip, a filter structure, and a waterproof structure. The outer case has an opening. The circuit substrate is disposed inside the outer case. The thermopile sensor chip is disposed on the circuit substrate. The filter structure is disposed above the thermopile sensor chip. The waterproof structure is surroundingly connected between the filter structure and the outer case, wherein the waterproof structure has a through hole for exposing the filter structure and communicated with the opening of the outer case.

Abstract: A method and an apparatus for carrier frequency-offset determination and a storage medium are provided. The method includes the following. A first carrier initial frequency-offset is obtained according to a pilot time interval and a pilot phase difference of a first carrier. A second carrier frequency-offset is obtained according to a carrier frequency-ratio of a second carrier to the first carrier and the first carrier initial frequency-offset. A first carrier frequency-offset is obtained according to the first carrier initial frequency-offset.

Abstract: An optical detection device is applied to an organism and includes a light emitting module, an optical detection module and an operation processor. The light emitting module includes a plurality of light emitters arranged along a first direction. The optical detection module includes a plurality of optical sensors arranged along a second direction and symmetrically relative to the light emitting module. The second direction is substantially different from the first direction. The optical sensors are substantially placed more outward from a center of the optical detection device than the light emitters. The operation processor is electrically connected to the optical detection module. The operation processor is adapted to analyze signal variation in the plurality of light emitters acquired by each of the plurality of optical sensors for determining a physiological feature of the organism.

Abstract: A device identification method, apparatus, and system are provided. A management device or a collection device first determines a network traffic feature of a to-be-identified device based on a first dataset. The first dataset includes a plurality of pieces of first data, and each piece of first data includes a data amount of a data packet that is of the to-be-identified device and that is collected within one first periodicity. Then, the management device or the collection device determines a device type of the to-be-identified device based on a device identification model and the network traffic feature of the to-be-identified device.

Abstract: A network device inputs first network status information of the network device in a first time period to an ECN inference model, to obtain an inference result that is output by the ECN inference model based on the first network status information. Then, the network device sends an ECN parameter sample to an analysis device that manages the network device, where the ECN parameter sample includes the first network status information and a target ECN configuration parameter corresponding to the first network status information, and the target ECN configuration parameter is obtained based on the inference result. The network device receives an updated ECN inference model sent by the analysis device.

Abstract: A method for replenishing an electrolyte of a molten carbonate fuel cell stack includes: preparing an electrolyte colloidal solution containing 10% to 20% of the electrolyte and having a viscosity of 200 to 800 Pa·s; replenishing the electrolyte of the cell stack using the electrolyte colloidal solution prepared in step 1 to allow the electrolyte to adhere to an electrode and an internal channel of the cell stack; discharging excess electrolyte colloidal solution in the cell stack; and drying and discharging water or an organic solvent in the cell stack under an inert gas condition to complete replenishment of the electrolyte of the cell stack, and performing a discharge performance test.

Abstract: An image apparatus includes a pixel array, an optical modulator, a controller, and a memory device storing information of a frame memory and information of a view map. The optical modulator modulates the light emitted from the pixel array to different viewing angles. The controller generates images of a scene with different lighting profiles corresponding to different viewing angles according to the information of the frame memory and the information of the view map.

Abstract: A method and apparatus is provided for generating an augmented sample set for enriching a first training dataset for training a model. The method comprises: using data augmentation and corresponding labeling or using label augmentation to add a first augmented sample set to the first training dataset, wherein the data augmentation and corresponding labeling, or the label augmentation purposely puts a first distinguishing characteristic of a first part-of-interest or an associated label into the first training dataset to cause the first distinguishing characteristic of the first part-of-interest to be emphasized to enable the model to learn a generalizable principle of the first distinguishing characteristic, wherein the first distinguishing characteristic is for differentiating the first part-of-interest from a second part-of-interest. Methods for training a model, using a model to differentiate part-of-interests and using a model to infer a dataset are also provided.

Abstract: Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

Abstract: An aerosolization module for an aerosol generating device includes a reservoir configured to contain a vaporizable material, a heater including a wick which is configured to imbibe liquid by capillarity, and a liquid path for providing liquid from the reservoir to the heater that includes at least one liquid channel that fluidically connects the reservoir to the wick, the liquid channel including a porous pad in contact with the wick. The porous pad improves the reliability in the supply of vaporizable material to the heater.

Abstract: A crosshead part for drilling pumps includes an upper guide plate, a lower guide plate and a crosshead, wherein the crosshead reciprocates in a straight line between the upper guide plate and the lower guide plate; at least one of the upper and lower guide plates has an oil inlet for introducing external lubricating oil between the at least one of the upper and lower guide plates and an arc surface of the crosshead. A crosshead system for drilling pumps includes a lubricating pipeline system and the crosshead part. The lubricating pipeline system includes a main pipeline and N branch pipelines. A drilling pump includes the crosshead part or the crosshead system.

Abstract: An electronic device includes an outer case, a circuit substrate, a thermopile sensor chip, a filter structure, and a waterproof structure. The outer case has an opening. The circuit substrate is disposed inside the outer case. The thermopile sensor chip is disposed on the circuit substrate. The filter structure is disposed above the thermopile sensor chip. The waterproof structure is surroundingly connected between the filter structure and the outer case, wherein the waterproof structure has a through hole for exposing the filter structure and communicated with the opening of the outer case.

Abstract: A semiconductor device includes a substrate having an array region defined thereon, a ring of magnetic tunneling junction (MTJ) region surrounding the array region, a gap between the array region and the ring of MTJ region, and metal interconnect patterns overlapping part of the ring of MTJ region. Preferably, the array region includes a magnetic random access memory (MRAM) region and a logic region and the ring of MTJ region further includes a first MTJ region and a second MTJ region extending along a first direction and a third MTJ region and a fourth MTJ region extending along a second direction.

Abstract: A display control device (10) includes an acquisition unit (11), a control unit (13), and an output unit (18). The acquisition unit (11) acquires video data captured by each of a plurality of image capturing devices from each of the plurality of image capturing devices. In response to detection of a target state of a monitoring target from each of two or more pieces of video data among a plurality of pieces of the video data, the control unit (13) allocates a time order of output to a display device to each of the target video data being the video data in which the target state is detected. The output unit (18) sequentially outputs the target video data to the display device, based on the allocated time order.

Abstract: A network device inputs first network status information of the network device in a first time period to an ECN inference model, to obtain an inference result that is output by the ECN inference model based on the first network status information. Then, the network device sends an ECN parameter sample to an analysis device that manages the network device, where the ECN parameter sample includes the first network status information and a target ECN configuration parameter corresponding to the first network status information, and the target ECN configuration parameter is obtained based on the inference result. The network device receives an updated ECN inference model sent by the analysis device.

Abstract: The disclosure provides a method for assisting an unregistered user device to access an end-to-end call service of a private network and a communication system. The method includes: determining whether the user device that is not registered on the private network wants to initiate a request of an emergency call; in response to determining that the user device that is not registered on the private network wants to initiate the request of the emergency call, assisting the user device to access the end-to-end call service without being registered on the private network.

Abstract: A display apparatus includes a pixel array, an optical modulator, a controller, and at least one memory device storing a frame memory. The optical modulator modulates the light emitted from the pixel array to corresponding angles. The controller generates images of a scene with different lighting profiles corresponding to different viewing angles according to information stored in the frame memory. The frame memory stores color information and material information of objects in the scene. The display apparatus displays the images through the first pixel array at the same time.

Abstract: This application provides a data collection method and a device. A data collection device determines, based on a threshold corresponding to a target indicator, a collection interval for to-be-collected data of the target indicator from a plurality of available collection intervals; and the data collection device collects the data of the target indicator based on the collection interval.