Abstract: An encoding method includes binarizing a chrominance prediction mode of an image block of an image that is permitted to use a CCLM and/or regular intra-frame chrominance prediction mode to obtain a bit string including adjacent bits. The CCLM includes first, second, and third modes, a second mode, and a third mode, the regular intra-frame chrominance prediction mode being other intra-frame chrominance prediction modes except CCLM. A first bit of the adjacent bits indicates whether CCLM is used according to whether a value there of is 1. A second bit indicates whether to use the first mode when the first bit indicates to use CCLM. A third bit indicates whether the second or third mode is used when the second bit indicates the first mode is not used. The method further includes using mutually independent probability models to respectively encode the first bit and the second bit.

Abstract: In certain examples, a causal inference model is trained on a re-balancing task in a self-supervised manner, using ‘unlabelled’ training data pertaining to multiple domains. Rather than approaching casual inference as a domain-specific task (e.g., designing one causal-inference approach for a particular manufacturing application, another for a particular aerospace application, another for a specific medical application etc.,) a general-purpose causal inference mechanism is learned from a large, diverse training set that contains many treatments dataset over many field/applications (e.g., combining manufacturing data, engineering data, medical data etc. in a single dataset used to train a single neural network). In other words, a cross-domain causal inference model is trained, which can then be applied to a dataset in any domain, including domains that were not explicitly encountered by the neural network during training.

Abstract: The subject technology provides techniques for enabling hidden database objects, which in an example are utilized for testing and verifying new database objects against existing workloads. Hidden database objects are a mechanism for bridging that gap by running user workloads on user data in advance of exposing the feature to users. This mechanism allows placing a database object as a hidden object nested beneath a user's visible object (e.g., table, column, view, and the like). Hidden database objects can be used to verify the functionality, parity, performance, and correctness of new unreleased features.

Abstract: Disclosed are a method, a device and a computer-readable storage medium for registration and login. The method includes: receiving, on a registration device side, registration information used to register a first object; performing a registration operation corresponding to the first object according to the registration information; sending the registration information to a login device that subscribes to the registration information in advance after the registration operation is successful; receiving, on a login device side, the registration information used to successfully register the first object sent by a registration device; receiving login information used to login a second object; and performing a login operation corresponding to the second object if it is determined that the login information has not been used to register the second object and the login information matches the registration information sent by the registration device.

Abstract: A contribution identification method for noise at a boundary of an urban substation in the present disclosure includes the following steps: describing site elements and surrounding environmental elements of an urban substation; measuring and recording a background noise value at each boundary of the urban substation; determining an orientation of a specific sound source of the urban substation, and setting a corresponding measurement point at each boundary of the urban substation; obtaining a spectrum of each specific sound source; analyzing a contribution of each intra-substation sound source of the urban substation to noise at the boundary of the substation; analyzing a noise level of each sound source measurement point in the urban substation; recording measured data during noise measurement, and correcting a noise measurement result; and generating a test report.

Abstract: The subject technology provides techniques for enabling hidden database objects, which in an example are utilized for testing and verifying new database objects against existing workloads. Hidden database objects are a mechanism for bridging that gap by running user workloads on user data in advance of exposing the feature to users. This mechanism allows placing a database object as a hidden object nested beneath a user's visible object (e.g., table, column, view, and the like). Hidden database objects can be used to verify the functionality, parity, performance, and correctness of new unreleased features.

Abstract: Provided by the present disclosure are a nanoemulsion and method for its preparation, and a high-temperature-resistant, high-density, oil-based well completion fluid and the application thereof. The nanoemulsion comprises a lipophilic alkenyl monomer, a hydrophilic alkenyl monomer, an emulsifier, a cross-linking agent, and water. The high-temperature-resistant, high-density, oil-based completion fluid comprises a base oil, a main emulsifier, an auxiliary emulsifier, an aqueous solution of salt, organic soil, an alkalinity regulator, a filtrate loss reducer, a stabilizer, and a weighting material. The stabilizer comprises the described nanoemulsion.

Abstract: A multi-arm robot used for tunnel lining inspection and defect diagnosis in an operation period, including a moving platform, where an environment detection device and a defect infection device are disposed on the moving platform, the defect infection device is disposed on the moving platform by using a multi-degree-of-freedom mechanical arm, and an attitude detection module is disposed on each multi-degree-of-freedom mechanical arm; a controller receives environmental data and mechanical arm attitude data sensed by the environment detection device and the attitude detection module, and sends a control instruction to the moving platform and the multi-degree-of-freedom mechanical arm according to the environmental data, to implement movement of the robot; and the controller receives tunnel lining structural data sensed by the defect infection device, and performs defect diagnosis. Overall automatic inspection can be implemented both on the surface and inside of the tunnel lining.

Abstract: A sound barrier system for reducing electric field distortion includes a wall unit and a sound barrier unit. The sound barrier unit includes a sound barrier plate that, from top to bottom, includes an arc-shaped part, an inclined part, and a vertical part that are integrally formed, wherein a center of a circle of the arc-shaped part points towards an interior of a power facility, the inclined part is tilted away from the power facility from top to bottom and is tangent to the arc-shaped part, and a lower end of the vertical part is arranged on a top of the wall unit. The sound barrier system further includes an energy supply pipeline, a security device, and an online monitoring device. The sound barrier system can be easily manufactured, and not only can improve an acoustic environment around a substation, but also can reduce an amplitude of an electric field.

Abstract: An encoding method includes binarizing a chrominance prediction mode of an image block of an image that is permitted to use a CCLM and/or regular intra-frame chrominance prediction mode to obtain a bit string including adjacent bits. The CCLM includes first, second, and third modes, a second mode, and a third mode, the regular intra-frame chrominance prediction mode being other intra-frame chrominance prediction modes except CCLM. A first bit of the adjacent bits indicates whether CCLM is used according to whether a value there of is 1. A second bit indicates whether to use the first mode when the first bit indicates to use CCLM. A third bit indicates whether the second or third mode is used when the second bit indicates the first mode is not used. The method further includes using mutually independent probability models to respectively encode the first bit and the second bit.

Abstract: A heat pump system, a heat management method and a vehicle are provided. The heat pump system includes an integrated heat exchanger integrated with a superconducting liquid flow passage and a refrigerant flow passage. The refrigerant flow passage is provided inside an on-board refrigerant circulation loop and is used for cooling and/or heating to adjust the temperature within a passenger compartment of a vehicle. The superconducting liquid flow passage is in communication with a motor heat dissipating conduit, for absorbing the heat generated by an on board motor and transferring the heat to the integrated heat exchanger by means of phase change heat transfer. The heat pump system can increase the energy utilization rate for the vehicle and reduce the allowable ambient temperature of the heat pump system.

Abstract: A multiplexed line scanning LiDAR system generates a line scan of an object based on the distance of various point measurements to the object. The multiplexed line scanning LiDAR utilizes at least one set of light source emissions to a fiber optic laser element to form a line scan pattern to determine a distance and velocity of an object.

Abstract: A multiplexed LiDAR system generates an image of an object based on the distance of various point measurements to the object. The multiplexed LiDAR utilizes at least two sets of light source emissions to a scanner to simultaneously form multiple scanning patterns that effectively increase the scanning speed, scanning area, or image pixel density of the LiDAR system.

Abstract: Systems and methods for processing machine learning attributes are disclosed. An example method includes: identifying a user transaction associated with a set of transaction attributes and a first transaction status; selecting, based on a risk evaluation model, a first plurality of transaction attributes from the set of transaction attributes; modifying a first value of a first transaction attribute in the first plurality of transaction attributes to produce a first modified plurality of transaction attributes; determining, based on the risk evaluation model, that the first modified plurality of transaction attributes identify a second transaction status different from the first transaction status; and in response to the determining, identifying the first transaction attribute as a risk attribute associated with the user transaction.

Abstract: A video image processing method includes binarizing a chrominance prediction mode of the image block of a to-be-encoded/decoded image to obtain a bit string, the bit string including two adjacent bits, the to-be-encoded/decoded image being permitted to use a CCLM and/or a regular intra-frame chrominance prediction mode, and the CCLM including a first mode, a second mode, and a third mode, and using mutually independent probability models to encode/decode a first bit and a second bit. The first bit of the adjacent bits indicates whether the CCLM is used, the second bit indicates whether to use the first mode of the CCLM when the first bit indicates to use the CCLM, the third bit indicates whether the second mode or the third mode of the CCLM is used when the second bit indicates that the first mode of the CCLM is not used.

Abstract: Various techniques are disclosed for providing dynamic, real-time pattern detection and linking between newly created user accounts and existing user accounts. Certain solutions include assessing matches of a new user account to nodes in a graphical representation of a machine learning algorithm based on predefined patterns in the properties of the new user account. The nodes in the graphical representation may each have different predefined patterns that have been determined based on patterns in previous information for user accounts, which can also be updated in real-time as needed. Accordingly, when a new user account is matched (e.g., assigned) to a node that has accounts with known issues associated with the node, the new user account may be flagged for increased scrutiny or other solutions.

Abstract: The present invention discloses a special hydraulic press for bulging pressing forming of an automobile axle housing and a pressing forming method. A hydraulic press body is a closed frame consisting of an upper cross beam, a lower cross beam, four stand columns I, II, III, and IV, four vertical pull rods I, II, III, and IV, and four transverse pull rods I, II, III, and IV, and is used for balancing a deformation force up to 3000 T in the vertical direction or the horizontal direction in the pressing forming process. During pressing forming, the downward speeds of a main hydraulic cylinder, small left and right vertical hydraulic cylinders are precisely controlled to prevent the left end, the right end and the middle of the tube blank from bending.

Abstract: Various techniques are disclosed for providing dynamic, real-time pattern detection and linking between newly created user accounts and existing user accounts. Certain solutions include assessing matches of a new user account to nodes in a graphical representation of a machine learning algorithm based on predefined patterns in the properties of the new user account. The nodes in the graphical representation may each have different predefined patterns that have been determined based on patterns in previous information for user accounts, which can also be updated in real-time as needed. Accordingly, when a new user account is matched (e.g., assigned) to a node that has accounts with known issues associated with the node, the new user account may be flagged for increased scrutiny or other solutions.