Abstract: A portable power supply including an internal power source, an AC output, a DC output, and an input unit configured to receive power from a first external source. The portable power supply further includes a first power conversion unit configured to convert the power received from the first external source to a first DC power used for charging the internal power source, an AC power conversion unit configured to convert power output by the internal power source to an AC power used for powering a first peripheral device connected to the AC output, and a DC power conversion unit configured to convert power output by the internal power source to a second DC power used for powering a second peripheral device connected to the DC output.

Abstract: Disclosed are an Alpiniae Officinarum Rhizome extract, a preparation method and use thereof. The preparation method comprises: S1: adding vegetable oil into an acidic mixed solution of Alpiniae Officinarum Rhizome superfine powder and stirring a resulting mixture, and then removing the vegetable oil to obtain an Alpiniae Officinarum Rhizome precipitate; S2: adding an emulsifier and a filler into an acidic mixed solution of the Alpiniae Officinarum Rhizome precipitate, and homogenizing a resulting mixture to obtain a homogeneous solution of Alpiniae Officinarum Rhizome, and S3: grinding and then drying the homogeneous solution of Alpiniae Officinarum Rhizome to obtain the Alpiniae Officinarum Rhizome extract.

Abstract: The provided is a Soft-sensing method for dioxin emissions of MSWI process based on ensemble T-S fuzzy regression tree. The highly toxic pollutant dioxins (DXN) generated in the municipal solid waste incineration (MSWI) process based on a grate furnace is a key environment index for realizing operation optimization control of the process. The method comprises the following steps: firstly, constructing a dioxin emission TSFRT model based on a screening layer and a fuzzy reasoning layer; then, a plurality of parameter updating learning algorithms aiming at the fuzzy reasoning antecedent part and the fuzzy reasoning consequent part are provided, and five dioxin emission TSFRT models including TSFRT-I, TSFRT-II, TSFRT-III, TSFRT-IV and TSFRT-V are obtained; finally, by taking the dioxin emission TSFRT-III model as an example, constructing an integrated TSFRT (EnTSFRT) model taking the TSFRT-III as a base learner so as to realize high-precision modeling of the dioxin emission concentration.

Abstract: A method for preparing a finerenone intermediate compound of formula I from a diastereomeric tartrate by means of racemic resolution is provided. A compound of formula I having an ee value higher than 99.5% can be obtained. The preparation method provided has mild reaction conditions, simple post-treatment, and no special reagents required, and is suitable for industrial production.

Abstract: The present invention discloses use of Bifidobacterium animalis subsp.lactis in promoting efficacy exertion of a Ginseng Radix Et Rhizoma extract in alleviating liver injuries. According to the present invention, Bifidobacterium animalis subsp.lactis CCFM1274 may grow in a fermentation base rich in a Ginseng Radix Et Rhizoma extract, and a fermentation broth of the Ginseng Radix Et Rhizoma extract fermented with this strain can increase the content of active substances such as aglycone flavonoids and short-chain fatty acids, promote the efficacy exertion of the Ginseng Radix Et Rhizoma extract, including improving the ability of the Ginseng Radix Et Rhizoma extract to alleviate a non-alcoholic liver injury, and reduce the fat accumulation in liver cells. This strain and the Ginseng Radix Et Rhizoma extract may be used to prepare a product for promoting the efficacy of alleviating the non-alcoholic liver injury.

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 cryogenic storage tank includes an inner tank, a shell and two support assemblies supported between the inner tank and the shell. The two support assemblies are provided on two opposite ends of the inner tank along the axis of the inner tank. The support assemblies all include a plurality of support members, and the plurality of support members of each support assembly are symmetrically provided with respect to the vertical centre axis plane of the inner tank, and each of the upper side and the lower side of the horizontal centre axis plane of the inner tank is provided with support members; each support member includes an inner end connected to the outer end of the inner tank and an outer end connected to the inner wall of the shell, and the support member is located in a different plane from the axis of the inner tank.

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: 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: 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: 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.