Abstract: A battery casing and a battery are disclosed. The battery casing comprises a casing body, an accommodating space being defined in the casing body, the casing body being provided with two open ends, and each open end being in communication with the accommodating space; a lower cover, the lower cover being coupled to one end of the casing body for closing one open end; an upper cover, the upper cover being coupled to the other end of the casing body for closing the other open end, the lower cover and/or the upper cover being a plate-shaped member(s), and side walls of the casing body being perpendicular to the plate-shaped member(s).

Abstract: An appliance heating control method and apparatus for user customizable vaping. The method comprises: acquiring appliance environment information and cigarette parameter information, and selecting, from a cigarette heating temperature curve library corresponding to the cigarette parameter information, an initial heating temperature curve that matches the appliance environment information; generating parameter adjustment guidance information on the basis of the initial heating temperature curve, and displaying the initial heating temperature curve and the parameter adjustment guidance information; and receiving a parameter adjustment instruction, adjusting the initial heating temperature curve on the basis of the parameter adjustment instruction, so as to obtain an adjusted heating temperature curve, and controlling, according to the adjusted heating temperature curve, an appliance to perform heating.

Abstract: The present disclosure relates to a system and a method for performing instance segmentation based on semantic segmentation that is capable of (1) processing HD images in real-time given semantic segmentation; 2) delivering comparable performance with Mask R-CNN in terms of accuracy when combined with a widely-used semantic segmentation method (such as DPC), while consistently outperforms a state-of-the-art real-time solution; (3) working flexibly with any semantic segmentation model for instance segmentation; (4) outperforming Mask R-CNN if the given semantic segmentation is sufficiently good; and (5) being easily extended to panoptic segmentation.

Abstract: The invention provides a soft measurement method for dioxin emission of grate furnace MSWI process based on simplified deep forest regression of residual fitting mechanism. The highly toxic pollutant dioxin (DXN) generated in the solid waste incineration process is a key environmental index which must be subjected to control. The rapid and accurate soft measurement of the DXN emission concentration is an urgent affair for reducing the emission control of the pollutants. The method comprises the following steps: firstly, carrying out feature selection on a high-dimensional process variable by adopting mutual information and significance test; then, constructing a simplified deep forest regression (SDFR) algorithm to learn a nonlinear relationship between the selected process variable and the DXN emission concentration; and finally, designing a gradient enhancement strategy based on a residual error fitting (REF) mechanism to improve the generalization performance of a layer-by-layer learning process.

Abstract: A method and device for determining a daily peak load regulation capacity of a hydropower station are provided. The method includes: defining a concept of the daily peak load regulation capacity and setting two schemes, namely, finding an amplitude according to time and finding time according to an amplitude; distinguishing constraint conditions for the hydropower station in different periods; according to actual operation of the hydropower station, setting a daily average inflow and a daily initial water level, and determining a typical daily load process of peak load regulation of the hydropower station by analyzing an actual daily load of a power grid in a period; setting a peak load duration or a peak load regulation amplitude during typical load operation of the hydropower station; iteratively calculating a maximum peak load regulation amplitude or a maximum duration under this boundary condition to obtain the daily peak load regulation capacity.

Abstract: A method and a system for pollutant identifying and early warning based on cluster analysis include steps of: installing multiple high-definition cameras on a river or a sluice dam, capturing pollutant images in front of the sluice dam at certain intervals, and transmitting the pollutant images captured by the high-definition cameras to a computer; reading the pollutant images transmitted to the computer; extracting a main pollutant color in the pollutant images through cluster analysis; calculating a difference between the main pollutant color and RGB data in a pollutant color gamut database, and setting an aberration threshold to identify the pollutant color; performing scale conversion with two sets of common point image pixel coordinates and actual plane coordinates to calculate a current pollutant area; and judging whether a polluted area exceeds a critical value according to a preset pollutant area threshold, thereby realizing early warning.

Abstract: The present invention relates to salt and crystal form of an EGFR inhibitor, and a composition and the use thereof. The salt and crystal form of the EGFR inhibitor as represented by formula I of the present invention can be used for treating or preventing epidermal growth factor receptor-mediated diseases or medical conditions (such as L858R activation mutants, exon 19 deletion activation mutants, T790M resistance mutants and C797S resistant mutants) in certain mutant forms.

Abstract: A simulation analysis system for dioxin concentration in furnace of municipal solid waste incineration process includes an area division module, the area division module is connected with a numerical simulation module, the numerical simulation module is connected with a single-factor analysis module, the single-factor analysis module includes an orthogonal test analysis module, and the orthogonal test analysis module is connected with a control module; the area division module is used for dividing areas in the incinerator, the numerical simulation module is used for conducting modeling simulation on the divided areas, the single-factor analysis module is used for conducting single-factor analysis according to the output of the numerical simulation module, and the orthogonal test analysis module is used for conducting orthogonal test analysis according to the output of the numerical simulation module.

Abstract: A computer may display on a graphical user interface (GUI) a component library including a set of components relating to a compressed air system. The GUI may have a modeling interface for configuring a virtual model using the set of components. The computer may simulate the virtual model to determine one or more optimizations to the compressed air system. The computer may also determine the cost of implementing the compressor system optimization.

Abstract: A broad hybrid forest regression (BHFR)-based soft sensor method for DXN emission in a municipal solid waste incineration (MSWI) process, including: based on a broad learning system (BLS) framework, constructing a BHFR soft sensor model for small sample high-dimensional data by replacing a neuron with a non-differential base learner, where the BHFR soft sensor model includes a feature mapping layer, a latent feature extraction layer, a feature incremental layer and an incremental learning layer, and the method includes: mapping a high-dimensional feature; extracting a latent feature from a feature space of a fully connected hybrid matrix, and reducing model complexity and computation consumption based on an information measurement criterion; enhancing a feature representation capacity by training the feature incremental layer based on an extracted latent feature; and constructing the incremental learning layer based on an incremental learning strategy, obtaining a weight matrix with a Moore-Penrose pseudo-inv

Abstract: An apparatus comprising an interface, a light projector and a processor. The interface may be configured to receive pixel data. The light projector may be configured to generate a structured light pattern. The processor may be configured to process the pixel data arranged as video frames comprising the structured light pattern, perform computer vision operations to detect a size of a face area of the video frames, determine a scale ratio in response to the size of the face area, extract the structured light pattern from the video frames, generate a downscaled structured light image and generate a depth map in response to the downscaled structured light image and a downscaled reference image. A downscale operation may be performed in response to the scale ratio to generate the downscaled structured light image. The scale ratio may enable the generation of the downscaled structured light image with sufficient depth pixels.

Abstract: A system comprising a plurality of capture devices and a calibration device. The capture devices may each comprise a warp table. The calibration device may be configured to store a plurality of configured warp tables in a warp table pool, perform a full calibration for one of the capture devices to generate the configured warp tables, initiate a quick calibration for the capture devices and apply one of the configured warp tables to the capture devices as the warp table. The calibration device may apply one of the configured warp tables to the capture devices by selecting one of the configured warp tables from the warp table pool in response to the quick calibration. If the quick calibration fails, the calibration device may generate a new configured warp table for the warp table pool in response to the full calibration and select the new configured warp table.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to an event, generate a full video stream in response to all of the video frames and generate encoded video frames. The full video stream may be recorded to a storage medium local to the apparatus. The encoded video frames may be communicated to a cloud service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the event is not detected and a second sample of the video frames selected at a second rate while the event is detected.

Abstract: In a message processing method, after receiving a message from a second electronic device, a first electronic device controls, using a microcontroller unit (MCU), a display of the first electronic device to display the message. Then, the first electronic device obtains an operation performed on the message and processes, using the MCU, the operation when the operation is a first operation type.

Abstract: A hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process includes a real equipment layer and a virtual object layer, where in the real equipment layer and the virtual object layer realize communication through hard wirings and data acquisition cards, the real equipment layer and virtual object layer realize communication in OPC mode through Ethernet; the real equipment layer comprises monitoring equipment and control equipment, and the virtual object layer comprises an MSWI actuator model, an MSWI instrument device model and an MSWI process object model which are respectively operated in different industrial personal computers. The hardware-in-loop simulation experiment platform of multiple input and multiple output loop control for MSWI process provided by the invention is used for providing a reliable engineering verification environment for MSWI process control.

Abstract: A communication method, a signaling control network element, a media control network element and a communication system. The communication method comprises: acquiring a transparent transmission channel creation request; performing, according to the transparent transmission channel creation request, negotiation processing on a media control network element and a first terminal device corresponding to a first terminal identifier, so as to create a transparent transmission channel between the media control network element and the first terminal device; obtaining a first resource identifier of an application entity according to the transparent transmission channel creation request; and sending the first resource identifier to the media control network element, so that the media control network element determines a data transmission relationship between the transparent transmission channel and the application entity corresponding to an application identifier.

Abstract: The present invention provides a simple and rapid construction of an animal model of constipation and use thereof. The construction method comprises: irritating a rat via tail-clamping and then gavaging the rat with 3.5-7 mg/kg of loperamide the next day, wherein the tail-clamping irritation treatment is as follows: clamping a tail 2-4 times every day for 25-35 min each time continuously for 3-5 days. The present invention obtains a method for constructing a rat model of constipation caused by liver depression and spleen deficiency by combining the tail-clamping irritation treatment and loperamide gavage treatment. The method has a short modeling period, is simple to operate, has a low cost, and effectively overcomes stress reaction of a rat. Besides, the constructed rat model of constipation caused by liver depression and spleen deficiency has various mechanisms, being stable, reliable and high in repeatability.

Abstract: The present invention provides a composite for relieving functional dyspepsia, a preparation method therefor, a use thereof, a drug, a food and a health-care product. The composite comprises the following components in parts by weight: 2 to 8 parts of dried orange peels, 1 to 6 parts of figs, and 1 to 5 parts of seville orange flowers. The composite of the present invention is prepared from medicinally and edibly homologous natural plant raw materials, which has good safety without side effects, and can be used to treat and/or prevent functional dyspepsia. The composite can also be used to prevent depression and improve sleep, with significant, mild and gradual curative effects, so as to provide a patient with daily health care and drug security.

Abstract: Disclosed is a soft measurement method of DXN emission concentration based on multi-source latent feature selective ensemble (SEN) modeling. First, MSWI process data is divided into subsystems of different sources according to industrial processes, and principal component analysis (PCA) is used to separately extract the subsystems' latent features and conduct multi-source latent feature primary selection according to the threshold value of the principal component contribution rate preset by experience.

Abstract: This application discloses a camera module and an electronic device. The camera module includes a photosensitive chip, a first lens barrel, a first lens, a rotating assembly, an elastic member, and a drive mechanism. The first lens barrel is provided with the first lens that is disposed opposite the photosensitive chip. The rotating assembly fits around the first lens barrel, and is connected to the rotating assembly via a first fitting convex portion and a first spiral guide slot. The rotating assembly includes a body member and a transmission member that are disposed separately. A first end of the elastic member is connected to the body member, and a second end of the elastic member is connected to the transmission member. The drive mechanism is connected to the transmission member, and the drive mechanism drives, via the transmission member, the elastic member, and the body member in turn.