Abstract: An image sensor comprises an arrangement of pixels, the pixels including an acquisition circuit each, the acquisition circuit including: a sensor circuit configured to generate a sensor signal (VLOG) depending on a light signal illuminating a photosensor of the pixel; a storage circuit configured to store during a storage interval a stored signal (VSTORE) proportional to the sensor signal (VLOG); and a comparator circuit configured to generate after the refresh interval a comparator signal (VCOMP) depending on the sensor signal (VLOG) and the stored signal (VSTORE). A method of operating an image sensor comprises steps of generating a sensor signal (VLOG) depending on a light signal illuminating a photosensor of the pixel, storing during a storage interval a stored signal (VSTORE) proportional to the sensor signal (VLOG) and generating after the refresh interval a comparator signal (VCOMP) depending on the sensor signal (VLOG) and the stored signal (VSTORE).

Abstract: Systems and methods of large depth-of-field microscopic structured-light 3D imaging include and/or implement capturing a plurality of images of a scene using a plurality of focus settings, each of the plurality of images corresponding to one of the plurality of focus settings, the plurality of images corresponding to a focal stack; processing the plurality of images; merging the plurality of images into an all-in-focus phase map; and reconstructing a 3D shape of the scene based on the all-in-focus phase map.

Abstract: A test device for rigid-flexible characteristics of a rigid-flexible transition overhead conductor rail, includes a movable vehicle moved in a length extending direction of the overhead conductor rail. A telescopic mechanism for providing lifting force for the overhead conductor rail is mounted on the movable vehicle and stretches out and draws back in a vertical direction, and a conversion plate is connected to a top end of the telescopic mechanism and synchronously moved in the vertical direction therewith. A sliding assembly is mounted at a top of the conversion plate and slides along the overhead conductor rail with the movable vehicle. The overhead conductor rail is located over the sliding assembly which abuts against a bottom wall of the overhead conductor rail. A force sensor is arranged between the telescopic mechanism and the conversion plate. A displacement detection mechanism is arranged on the conversion plate.

Abstract: An intrusion response system (IRS) can include a knowledge-based intrusion response (IR) component configured to use knowledge of prior responses to prior behavior of at least one computer system to determine a first response to behavior of a target computer system; a prediction-based IR component configured to use at least one trained machine learning (ML) model of behavior of the target computer system to predict a second response to the behavior of the target computer system; and a response component configured to determine an output response to the behavior of the target computer system based on at least one of the first response and the second response.

Abstract: A collaboration platform provides a collaboration user interface (“UI”) through which a user can request a recommendation of an artificial intelligence (“AI”) model for performing entity extraction on documents in a document library maintained by the collaboration platform. In response to receiving such a request, the collaboration platform can select candidate documents from the documents in the library and process the candidate documents using AI models configured to extract entities from the one or more documents. The collaboration platform can then select one of the AI models based on the processing. The collaboration platform can also provide functionality for performing automated document tagging using term sets on documents maintained by the collaboration platform.

Abstract: The present disclosure relates to a deep learning algorithm compiling method and a device and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction cache unit, an instruction processing unit, and a queue-storing unit. The instruction cache unit is configured to store computation instructions associated with artificial neural network operations. The instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions. The queue-storing unit is configured to store an instruction queue, which comprises: a plurality of operation instructions or computation instructions to be executed according to the front-to-rear sequence of the queue. By means of the described method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

Abstract: This invention discloses a model test device and method for curtain grouting and excavation of tunnels in high-temperature, water-rich and weak strata, comprising weak strata simulation system, working condition simulation system, curtain grouting system, and monitoring and data acquisition system. The weak strata simulation system is the main box used to fill the soft soil. The working condition simulation system includes a high geothermal simulation system, a water pressure simulation system with stepwise loading of water pressure and volume, and a three-dimensional confining pressure simulation system with stepwise controllable loading of confining pressure. The invention can realize the whole test process simulation of grouting reinforcement and excavation of tunnels in weak strata effectively under the action of confining pressure and geothermal heat, and it has a positive reference effect on actual soft stratum tunnel curtain grouting and safe excavation.

Abstract: Systems and methods that enable implementation of content aware file management labeling. Techniques disclosed enable real-time analysis of a data file so that associations between the data file and applicable file management label(s) can be automatically suggested and/or made while a user is working in the data file. A user may deploy an application on a client device to edit a data file. While the user is actively editing the data file, the application may transmit modification data to a content analysis service which analyzes the modification data to determine whether the modifications result in a file management label becoming applicable to the data file. Ultimately, the content analysis service may transmit a verdict to the client device to cause the application to display a labeling suggestion to the user and/or to automatically apply a label to the data file while it is being worked on by the user.

Abstract: Disclosed are systems and methods for a power control system for a vehicle having multiple power sources. The power control system may include a plurality of sensors associated with one or more power sources and a microcontroller configured to receive a plurality of signal inputs, wherein the microcontroller selects a power state for the power control system based at least in part on the plurality of signal inputs from the plurality of sensors. The power state may be selected from a group including a first power state, wherein power is provided to a critical power subsystem, an essential power subsystem, and an auxiliary power subsystem, a second power state, wherein power is provided to the critical power subsystem and the essential power subsystem of the vehicle, and a third power state, wherein power is provided only to the critical power subsystem of the vehicle.

Abstract: An image sensor comprises an arrangement of pixels, the pixels including an acquisition circuit (1) each, the acquisition circuit (1) including: a sensor circuit (11) configured to generate a sensor signal (VLOG) depending on a light signal illuminating a photosensor of the pixel; a storage circuit (12) configured to store during a storage interval a stored signal (VSTORE) proportional to the sensor signal (VLOG); and a comparator circuit (13) configured to generate after the refresh interval a comparator signal (VCOMP) depending on the sensor signal (VLOG) and the stored signal (VSTORE). A method of operating an image sensor comprises steps of generating a sensor signal (VLOG) depending on a light signal illuminating a photosensor of the pixel, storing during a storage interval a stored signal (VSTORE) proportional to the sensor signal (VLOG) and generating after the refresh interval a comparator signal (VCOMP) depending on the sensor signal (VLOG) and the stored signal (VSTORE).

Abstract: Techniques configuring a machine learning model include receiving, via a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform, a selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model, which are sent to the machine learning model. As new files are uploaded to the selected directories of the collaborative computing platform, the machine learning model is applied to the uploaded files to classify the files and extract metadata. The extracted metadata and associated classification data are stored in data structures associated with the new files. The data structures are existing data structures of the collaborative computing platform.

Abstract: Disclosed is the use of chlorophyll dihydroporphin as a plant growth regulator. Compared with the prior art, a class of new type plant growth regulators are provided; since the direct decomposition product of chlorophyll is used as a product, the preparation and processing thereof are easier, the structure is relatively simple, and tedious reactions and preparations such as further chemical coordination/chelation/purification are eliminated, so that the product is more environmentally friendly and safer; the product has a better solubility than the corresponding metal chelate and has a more convenient method of use, making it more convenient to be used in the fields; the stability of the product has been improved, with stable quality assurance and a longer shelf life; the product has a natural source and uses a low amount of same due to a low effective dosage, thereby improving the utilization rate of silkworm excrement resources.

Abstract: Disclosed are systems and methods for a power control system for a vehicle having multiple power sources. The power control system may include a plurality of sensors associated with one or more power sources and a microcontroller configured to receive a plurality of signal inputs, wherein the microcontroller selects a power state for the power control system based at least in part on the plurality of signal inputs from the plurality of sensors. The power state may be selected from a group including a first power state, wherein power is provided to a critical power subsystem, an essential power subsystem, and an auxiliary power subsystem, a second power state, wherein power is provided to the critical power subsystem and the essential power subsystem of the vehicle, and a third power state, wherein power is provided only to the critical power subsystem of the vehicle.

Abstract: The present disclosure relates to a deep learning algorithm compiling method and a device and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction cache unit, an instruction processing unit, and a queue-storing unit. The instruction cache unit is configured to store computation instructions associated with artificial neural network operations. The instruction processing unit is configured to parse the computation instructions to obtain a plurality of operation instructions. The queue-storing unit is configured to store an instruction queue, which comprises: a plurality of operation instructions or computation instructions to be executed according to the front-to-rear sequence of the queue. By means of the described method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

Abstract: The present disclosure relates to a method and a device for generation operation data and a related product, the product comprising a controller unit, and the controller unit comprising: an instruction caching unit, an instruction processing unit and a queue-storing unit. The instruction caching unit is used to store computing instructions associated with artificial neural network operations. The instruction processing unit is used to resolve the computing instructions to obtain a plurality of operation instructions. The queue-storing unit is used to store an instruction queue, which comprises: a plurality of operation instructions or computing instructions to be executed according to the front-to-rear sequence of the queue. Through the above method, the present disclosure may improve the operation efficiency of the related product when carrying out neural network model operations.

Abstract: A computerized method is provided for selecting a direction of formation of a slag puddle on a workpiece during processing of the workpiece by a thermal processing torch. The method comprises causing the torch to emit a thermal arc to gouge the workpiece at a first location without piercing through the workpiece. The method also includes translating the torch from the first location to a second location along a first direction on the workpiece while the torch is gouging the workpiece, the first direction substantially along the selected direction of slag puddle formation. The gouging and translating cause formation of a trench in a surface of the workpiece in the first direction. The method further includes causing the thermal arc emitted by the torch to pierce through the workpiece at the second location, which causes the formation of the slag puddle along the selected direction as guided by the trench.

Abstract: An X-ray single-pixel camera based on X-ray computational correlated imaging, which belongs to the technical research fields of X-ray computational correlated imaging and X-ray single-pixel imaging. The X-ray single-pixel camera includes: an X-ray modulation system (3), an X-ray modulation control system (4), an X-ray single-pixel detector (5), a main control system unit (6), a time synchronization system (7) and a computational imaging system (8). The main control system unit (6) controls each module through software; the time synchronization system (7) controls synchronization of each module for automatic collection; and the computational imaging system (8) is configured to perform a second-order correlated computation or a compressed sensing computation or a deep learning computation on the signals collected by the X-ray single-pixel detector (5) and a preset modulation matrix, so as to obtain an image of an object under test.

Abstract: An X-ray single-pixel camera based on X-ray computational correlated imaging, which belongs to the technical research fields of X-ray computational correlated imaging and X-ray single-pixel imaging. The X-ray single-pixel camera includes: an X-ray modulation system (3), an X-ray modulation control system (4), an X-ray single-pixel detector (5), a main control system unit (6), a time synchronization system (7) and a computational imaging system (8). The main control system unit (6) controls each module through software; the time synchronization system (7) controls synchronization of each module for automatic collection; and the computational imaging system (8) is configured to perform a second-order correlated computation or a compressed sensing computation or a deep learning computation on the signals collected by the X-ray single-pixel detector (5) and a preset modulation matrix, so as to obtain an image of an object under test.

Abstract: The present disclosure describes calibration methods for optoelectronic modules with active illumination, such as 3D ranging systems. Calibration methods include determining cross-talk calibration parameters for an optoelectronic module having an emitting channel and a receiving channel where the optoelectronic module is operable to demodulate modulated light incident on the receiving channel. Cross-talk calibration parameters are saved to a readable storage medium and recalled during distance measurements to an object or objects in a scene.

Abstract: Techniques configuring a machine learning model include receiving, via a user interface configured to communicate with a machine learning model hosted on a collaborative computing platform, a selection of a file for input to the machine learning model, a selection of content in the file for input to the machine learning model, and instructions for applying the selected content to the machine learning model, which are sent to the machine learning model. As new files are uploaded to the selected directories of the collaborative computing platform, the machine learning model is applied to the uploaded files to classify the files and extract metadata. The extracted metadata and associated classification data are stored in data structures associated with the new files. The data structures are existing data structures of the collaborative computing platform.