Abstract: The present disclosure provides a detection substrate, a manufacturing method thereof and a ray detector. The detection substrate includes: a base substrate; a plurality of independent first electrodes arranged on the base substrate on the same layer; a photoelectric conversion layer arranged on a whole face of sides, facing away from the base substrate, of the plurality of first electrodes; a ray absorption layer arranged on a side, facing away from the plurality of first electrodes, of the photoelectric conversion layer, wherein an orthographic projection of the ray absorption layer on the base substrate is overlapped with an orthographic projection of gaps between the first electrodes on the base substrate; and a second electrode arranged on a whole face of a side, facing away from the plurality of first electrodes, of the photoelectric conversion layer.

Abstract: The present disclosure relates to a method for music generation, an electronic device and a storage medium. The method includes: determining first tag information of a first object by recognizing the first object; determining target background music based on the first tag information, in which the target background music includes lyrics template information which includes information about a number of words per sentence in lyrics suitable for the target background music; determining second tag information by extracting a tag of a second object; and displaying first lyrics on a music display page according to the second tag information and the lyrics template information, and playing the target background music, in which a form of the target background music includes rap.

Abstract: The disclosure discloses application of nanosulfur in tomato fusarium wilt control, belonging to the technical field of novel pesticides. The application of the disclosure includes the following steps: preparing a nanosulfur solution from nanosulfur; and then soaking seeds in the nanosulfur solution or applying the nanosulfur solution onto tomato foliage, and continuing cultivation to obtain tomato plants. The nanosulfur has a particle size of 20-150 nm. The nanosulfur solution uses water as a solvent and has a concentration of 30-200 mg/L. According to the disclosure, after the tomato plants are treated with the nanosulfur by foliar spraying, the fresh weight of the above-ground part is 1.05 times or more that of the disease group, and the fresh weight of the underground part is 1.05 times or more that of the disease group, so that the incidence of tomato fusarium wilt is reduced by 8% or more.

Abstract: Techniques for determining a vehicle action and controlling a vehicle to perform the vehicle action for navigating the vehicle in an environment can include determining a vehicle action, such as a lane change action, for a vehicle to perform in an environment. The vehicle can detect, based at least in part on sensor data, an object associated with a target lane associated with the lane change action sensor data. In some instances, the vehicle may determine attribute data associated with the object and input the attribute data to a machine-learned model that can output a yield score. Based on such a yield score, the vehicle may determine whether it is safe to perform the lane change action.

Abstract: This application provides a method for adjusting a resource of an intelligent analysis device and an apparatus. The method includes: obtaining status information of an intelligent analysis device that accesses a surveillance platform and application information deployed on the intelligent analysis device, where the status information includes resource usage and a quantity of bound cameras; after a camera accesses the surveillance platform, selecting a to-be-bound intelligent analysis device for the camera based on the status information and the application information of the intelligent analysis device that accesses the surveillance platform; and sending, to the selected intelligent analysis device, a command for binding the camera. In this way, the resource of the intelligent analysis device may be automatically allocated. This improves processing efficiency and avoids low efficiency caused by manual processing.

Abstract: There are provided systems and methods relating to checking and confirming merchandise purchased at shopping facilities. In one form, the system includes: a shopping cart containing merchandise items to be purchased; a sales transaction database; a point-of-sales system that creates transaction records identified by transaction identifiers; and a mobile device used by an employee that includes a sensor to scan a paper or digital receipt to obtain the transaction identifier and a camera to capture images of the items in the shopping cart. The system also includes a control circuit that receives the transaction identifier, accesses the database using the identifier to determine the purchased items; analyzes the images of the merchandise items in the shopping cart and creates a computer vision receipt listing detected items; compares the purchased items with the detected items; and takes an action if there is a discrepancy.

Abstract: A display panel, a manufacturing method thereof and a display device are provided. The display panel includes: a photosensitive sensor; a light shield layer disposed on a sensing side of the photosensitive sensor and including at least one first opening and at least one second opening, the first opening and the photosensitive sensor are overlapped with each other in a direction perpendicular to a surface of the display panel, so that light running through the first opening is irradiated to the photosensitive sensor; and an optical processing film disposed in a region of the light shield layer close to the second opening and on at least a portion of a surface of the light shield layer away from the photosensitive sensor, and a light reflectivity of the optical processing film is less than a light reflectivity of the light shield layer.

Abstract: Certain aspects involve providing automated performance monitoring of statistical models. For example, a processing device is used for performing a statistical analysis on information in an archive to extract historical data, scores, and attributes. The processing device calculates performance metrics based at least in part on the historical data, scores, and attributes. The processing device pre-calculates summary performance data based at least in part on the performance metrics. The summary performance data is stored in files with predefined layouts, which are stored in a non-transitory, computer-readable medium. Segmented data is presented from a file to a user through a graphical user interface (GUI). In some aspects, various reports of the segmented data are presented interactively by detecting a selection by the user of a segmentation and displaying the corresponding segmented data.

Abstract: A method of manufacturing a high molecular weight heparin (HMWH) compound is disclosed. The method comprises dissolving heparin to form a heparin solution and fractionating the heparin solution via tangential flow filtration (TFF) using a membrane with a molecular weight cut off (MWCO) between about 8 kDa and about 12 kDa. The TFF yields a retentate comprising fractionated heparin with a weight average molecular weight of about 20 kDa or greater, i.e., a high molecular weight heparin compound. A substantial proportion of heparin chains in the fractionated heparin may have a high molecular weight, e.g., 50% of the heparin chains or greater may have a molecular weight of 20 kDa or greater.

Abstract: A system may automatically create training datasets for training a segmentation model to recognize features such as lanes on a road. The system may receive sensor data representative of a portion of an environment and map data from a map data store including existing map data for the portion of the environment that includes features present in that portion of the environment. The system may project or overlay the features onto the sensor data to create training datasets for training the segmentation model, which may be a neural network. The training datasets may be communicated to the segmentation model to train the segmentation model to segment data associated with similar features present in different sensor data. The trained segmentation model may be used to update the map data store, and may be used to segment sensor data obtained from other portions of the environment, such as portions not previously mapped.

Abstract: A simulation method of distributed collaborative control for a microgrid under the attack of false data injection based on cyber-physical fusion is provided, which includes: establishing a distributed collaborative control simulation model for the microgrid frequency based on an RT_LAB real-time simulation tool OPAL-RT; designing a distributed collaborative control algorithm of a microgrid under the attack of false data injection based on DSP; simulating real-time communication among distributed generations based on an OPNET; simulating constant injection of false data, to realize that the frequency of each distributed generation in the microgrid is finally strictly tracked to the reference frequency. According to the method provided by the present application, no extra state observer is needed to observe the angular frequency states of local and neighboring nodes, so that the adverse effects caused by the attack of false data with a constant injection can be completely eliminated.

Abstract: An embodiment of the present description provides a decoding method and device for a quantization block as well as an electronic device.

Abstract: Techniques relating to monitoring map consistency are described. In an example, a monitoring component associated with a vehicle can receive sensor data associated with an environment in which the vehicle is positioned. The monitoring component can generate, based at least in part on the sensor data, an estimated map of the environment, wherein the estimated map is encoded with policy information for driving within the environment. The monitoring component can then compare first information associated with a stored map of the environment with second information associated with the estimated map to determine whether the estimated map and the stored map are consistent. Component(s) associated with the vehicle can then control the object based at least in part on results of the comparing.

Abstract: Example proximity sensors are described. The proximity sensor can include a transceiver unit, and a leaky coaxial cable operably coupled to the transceiver unit. The proximity sensor described herein can be used with a steering wheel. For example, the leaky coaxial cable can be embedded in the steering wheel.

Abstract: Techniques for top-down scene discrimination are discussed. A system receives scene data associated with an environment proximate a vehicle. The scene data is input to a convolutional neural network (CNN) discriminator trained using a generator and a classification of the output of the CNN discriminator. The CNN discriminator generates an indication of whether the scene data is a generated scene or a captured scene. If the scene data is data generated scene, the system generates a caution notification indicating that a current environmental situation is different from any previous situations. Additionally, the caution notification is communicated to at least one of a vehicle system or a remote vehicle monitoring system.

Abstract: Techniques for top-down scene generation are discussed. A generator component may receive multi-dimensional input data associated with an environment. The generator component may generate, based at least in part on the multi-dimensional input data, a generated top-down scene. A discriminator component receives the generated top-down scene and a real top-down scene. The discriminator component generates binary classification data indicating whether an individual scene in the scene data is classified as generated or classified as real. The binary classification data is provided as a loss to the generator component and the discriminator component.

Abstract: A trajectory estimate of a wheeled vehicle can be determined based at least in part on determining a wheel angle associated with the vehicle. In some examples, at least a portion of the image associated with the wheeled vehicle may be input into a machine-learned model that is trained to classify and/or regress wheel directions of wheeled vehicles. The machine-learned model may output a predicted wheel direction. The wheel direction and/or additional or historical sensor data may be used to estimate a trajectory of the wheeled vehicle. The predicted trajectory of the object can then be used to generate and refine an autonomous vehicle's trajectory as the autonomous vehicle proceeds through the environment.

Abstract: The present disclosure provides a detection substrate, a method for manufacturing the same and a flat panel detector. The detection substrate includes a base substrate and at least one pixel unit, the pixel unit includes: a transistor, an oxide layer, a reading electrode, and a photoelectric conversion structure sequentially arranged in a direction away from the base substrate, the reading electrode is electrically connected with the photoelectric conversion structure, the oxide layer is positioned between the transistor and the reading electrode, the oxide layer has a first through hole therein, an orthographic projection of the oxide layer on the base substrate at least covers that of the transistor on the base substrate, the reading electrode is electrically connected with the transistor through the first through hole, orthographic projections of the first through hole and the transistor on the base substrate are not overlapped with each other.

Abstract: The present disclosure discloses an application method of silicon quantum dots (Si QDs) for controlling corn armyworm, belonging to the technical field of nano-agricultural technology for crop pest control. The method for controlling corn armyworm by using Si QDs of the present disclosure includes the following steps of: preparing the Si QDs into an aqueous solution of the Si QDs, and then applying the aqueous solution on the roots or leaves of plants as plant fertilizer; where the concentration of the aqueous solution of the Si QDs is 10-150 mg/L; the size of the Si QDs is 3-8 nm. The method of the present disclosure not only improves the effect of the conventional silicon fertilizer on the stress resistance of plants, but also directly improves the direct insecticidal effect of the nano-silicon and improves the chemical defense capability of plants; the optimal spraying amount of Si QDs is determined by spraying different concentrations of Si QDs in the growth and development experiment of armyworm.

Abstract: Techniques for determining an uncertainty metric associated with an object in an environment can include determining the object in the environment and a set of candidate trajectories associated with the object. Further, a vehicle, such as an autonomous vehicle, can be controlled based at least in part on the uncertainty metric. The vehicle can determine a traversed trajectory associated with the object and determine a difference between the traversed trajectory and the set of candidate trajectories. Based on the difference, the vehicle can determine an uncertainty metric associated with the object. In some instances, the vehicle can input the traversed trajectory and the set of candidate trajectories to a machine-learned model that can output the uncertainty metric.