Abstract: An optimized method for identifying robot pouring regions based on hierarchical processing and connectivity maximization and a system thereof, wherein the optimized method includes: rough identification stage: identifying and positioning, according to working characteristics of mobile robot, target container through vision module when a distance from target region is relatively far, and generating information collection position of target container required for fine identification according to the positioning; fine identification stage: obtaining, by mobile robot, information of target container and source container, and generating corresponding connectable domains, then identifying and optimizing robot pouring region by using connectivity maximization method. It solves problems of autonomous identification of pouring region of the mobile robot, can be applied to most target containers and source containers, and enhances the generalization ability of robot pouring manipulation skills.

Abstract: A drive control circuit, a drive system and a display apparatus. The drive control circuit includes: a voltage conversion sub-circuit, a first shunt sub-circuit, a conduction control sub-circuit, and a second shunt sub-circuit. The voltage conversion sub-circuit outputs a supply voltage to a supply terminal; the first shunt sub-circuit generates a first voltage at a current-limiting node based on the supply voltage at the supply terminal; the conduction control sub-circuit generates a control voltage at a control node and generates a current flowing through the supply terminal to the ground terminal in response to the first voltage at the current-limiting node and the supply voltage at the supply terminal; and the second shunt sub-circuit establishes a conducting path between the current-limiting node and the ground terminal in response to a voltage at the control node being greater than a first conduction threshold.

Abstract: Examples provide a system and method for multi-camera validation and guided calibration using keypoints. Multi-view images of a cart or other object of interest are generated by a plurality of image capture devices mounted to a rigid support structure. A set of keypoints associated with the support structure are detected. The keypoints include fixed regions or points on the structure, such as corners and/or vertical support members of the structure. A homography is calculated for the multi-view images using the keypoints. The system utilizes computer vision (CV) analysis of the images to determine whether the object of interest is within the field of view of every image capture device. The system checks camera parameters using the images and the calculated homography. The system provides a pass status for each image capture device or guided instructions to assist a user in re-calibrating any image capture device failing verification.

Abstract: A water faucet filter assembly may include a horizontal orientation including a filter element viewable through a front cover of the filter assembly and an optional skin treatment element adapter that may receive a water-dissolvable, skin treatment element through which water filtered by the filter element passes before being dispensed to a user.

Abstract: Examples provide incremental item recognition model training using multi-view image data including top and bottom view images of items. The top view images are generated by camera(s) mounted to a top portion of a support structure and bottom view images are generated by camera(s) mounted to a bottom portion of the archway truss device. Images of high impact items are used to train the model initially. Images of other lower impact items are used to progressively train the model in subsequent training epochs. Data augmentation and image resizing with down-sampling and over-sampling is used to create uniform image sizes and balanced item class distribution. Performance metrics are applied to historical item data to identify highest impact items. The dual-view image data is used to iteratively train a computer vision item recognition model to more accurately detect and recognize items appearing in images generated by the cameras on the archway truss.

Abstract: An inference method includes obtaining inquiry information, executing a current inference sub-task in an inference task corresponding to the inquiry information, to obtain an inference sub-result of the current inference sub-task, evaluating the inference sub-result to obtain an evaluation result of the inference sub-result, when it is determined that the evaluation result satisfies processing criteria, processing the inference sub-result to obtain a processed result of the current inference sub-task, and based on the inquiry information and the processed result of the current inference sub-task, executing a next inference sub-task following the current inference task, so as to determine an inference result corresponding to the inquiry information based on at least an inference sub-result of a final inference sub-task.

Abstract: A method for calibrating impedance of a first transmit (TX) driver of a first bidirectional serializer/deserializer (SerDes), wherein the first bidirectional SerDes is connected to a second bidirectional SerDes by a data transmission line and the second bidirectional SerDes comprises a second TX driver, wherein the method includes, for each of a plurality of driver impedance code values applied to the first TX driver, receiving at the second SerDes a transmission of a data pattern corresponding to the impedance code value; and measuring at the second SerDes an eye height of a data sequence transmitted by the second SerDes. The method further includes determining which of the measured eye heights comprises a maximum eye height and communicating to the first SerDes from the second SerDes the impedance code value corresponding to the one of the eye heights comprising the maximum eye height for the first TX driver.

Abstract: Provided are a porous catalytic membrane, a membrane electrode assembly and a water electrolysis device. The porous catalytic membrane includes a porous polymer membrane formed by interweaving randomly arranged nanofibers and a catalyst coated on a surface of the nanofibers. The porous polymer membrane has a self-supporting structure and a large specific surface area, providing a large number of loading sites for the catalyst. The catalyst can be directly anchored onto the nanofibers of the porous polymer membrane through a physical or chemical method to achieve uniform dispersion without the need for coating by ionomers, thereby avoiding high costs and performance degradation caused by the adoption of ionomers. The exposure degree of the catalytic active sites is significantly increased, thereby enhancing utilization efficiency of the catalyst and reducing the amount of noble metal catalysts.

Abstract: Provided is a composite film, comprising a porous film, an aramid nanofiber layer and a rigid coating arranged in sequence. In the composite film of the present disclosure, the aramid nanofiber layer is an intermediate layer between the rigid coating and the flexible porous film and provides a mechanical transition therebetween and thus regulate interfaces thereof, so that a stable interface structure is achieved between the flexible porous film and the rigid coating, thereby effectively solving the delamination issue between the rigid coating and the flexible porous film.

Abstract: A topical formulation for treating atopic dermatitis (AD), and a preparation method and use thereof, belonging to the technical field of development of traditional Chinese medicine (TCM) topical formulations. An active ingredient of the topical formulation for treating AD is neoliquiritin with a concentration of 0.5 wt % to 1.5 wt %.

Abstract: A fractional-N phase locked loop (PLL) is described and includes a synchronized feed forward frequency decoder configured to generate a VCO frequency code from a feedback divider ratio and an update rate input thereto; and a scalable voltage-controlled oscillator (VCO) comprising an array of ring cells, wherein each of the ring cells comprises a multi-stage ring VCO comprising a plurality of inverters, wherein a transconductance of each of the ring cells is controlled by bias voltage signals applied to a selected one of the ring cells.

Abstract: A servo control method for a multi-joint hydraulic manipulator based on adaptive sliding mode is provided. A motion trajectory of an end of the multi-joint hydraulic manipulator in a workspace is generated, and expected angular displacement, angular velocity and angular acceleration of individual joints are calculated. An actual angular displacement and an actual angular velocity of the individual joints under a current position-pose are calculated. Combined with a dynamic model of the manipulator, a driving force of individual joints is calculated. Based on the expected angular displacement, the actual angular displacement and the driving force, a sliding-mode surface is constructed. The adaptive law is updated to perform adaptive sliding-mode control for the manipulator. A system for implementing the servo control method is also provided.

Abstract: A method for early diagnosis of Parkinson's disease based on multimodal deep learning is provided. Audio-visual data of a to-be-diagnosed subject while performing a speech task is acquired. The audio-visual data are preprocessed to extract a plurality of audio segments and a plurality of video segments. A face image sequence is extracted from each of the plurality of video segments. A Mel-spectrogram of each of the plurality of audio segments is calculated. The face image sequence and the Mel-spectrogram are input into a multimodal deep learning model to output a classification result for Parkinson's disease early diagnosis of the to-be-diagnosed subject. A system for early diagnosis of Parkinson's disease based on multimodal deep learning is also provided.

Abstract: The disclosure belongs to the field of microorganisms, and in particular relates to a strain of Akkermansia muciniphila and a product and application thereof. The A. muciniphila is AKK PROBIO, with a preservation number of CGMCC No. 20955. AKK PROBIO of the disclosure has good tolerance, high safety, wide indications, and a good therapeutic effect, can prevent and treat diseases such as colitis, colorectal carcinoma, Alzheimer's disease, and gouty arthritis, and has very good clinical application prospects.

Abstract: Embodiments of systems and methods for model prediction confidence utilizing drift are described. In some embodiments, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, cause the IHS to: identify drift with respect to an Artificial Intelligence (AI) or Machine Learning (ML) model; and adjust a confidence score of a prediction or inference produced by the AI/ML model based, at least in part, upon the drift.

Abstract: A transceiver for a network device includes clock-data recovery (CDR) circuitry that operates based on an input clock associated with a transmitted signal received by the transceiver. The CDR circuitry includes a phase interpolator (PI) core configured to process a plurality of phases of an the input clock, an inductor-capacitor (LC) tank configured to convert an output current of the PI core to an output voltage based on a frequency-dependent impedance, and control circuitry configured to tune the frequency-dependent impedance based on a frequency of the input clock.

Abstract: A bath faucet water filter may include a universal bath faucet connector including a strap and a hanger member that is configured to extend from the strap when the strap is engaged with a bath water faucet. A bath water filter housing that defines a cavity within which a replaceable water filter is positioned, and configured to be suspended by the hanger member in an upright position when the hanger member extends horizontally, vertically, or diagonally when the strap is engaged with a corresponding bath water faucet.

Abstract: A remote diagnosis method, system, platform, and storage medium for an air conditioning system on a vehicle includes: obtaining setting information, operating data, and environmental data of the air conditioning system via an on-vehicle terminal; and determining whether the air conditioning system is abnormal based on one or more of the setting information, the operating data, and the environmental data, in a case where a return air temperature does not meet a preset condition within a preset operating time length.