Abstract: A method that manages sensitive data. A computer system identifies the sensitive data for a group of application containers using configuration information for the group of application containers. The computer system encrypts the sensitive data identified for the group of application containers to form encrypted sensitive data. The computer system saves the encrypted sensitive data to a shared storage used by the group of application containers when the group of application containers is deployed.

Abstract: Disclosed are a translation method, a classification model training method, a device and a storage medium, which relate to the field of computer technologies, particularly to the field of artificial intelligence such as natural language processing and deep learning. The translation method includes: obtaining a current processing unit of a source language text based on a segmented word in the source language text; determining a classification result of the current processing unit with a classification model; and in response to determining that the classification result is the current processing unit being translatable separately, translating the current processing unit to obtain translation result in a target language corresponding to the current processing unit.

Abstract: An uplink synchronization method and an apparatus are provided. The method includes: sending, by a network device, a timing advance command to a communications device, where the timing advance command includes a timing advance TA reference value, and the TA reference value corresponds to a carrier in a timing advance group TAG; determining, by the communications device, a TA offset of the carrier based on carrier information of the carrier; and adjusting, by the communications device, an uplink transmission timing of the carrier based on the TA reference value and the TA offset of the carrier.

Abstract: In an approach, a processor, in response to detecting a new customer resource (CR) file: requests, the computing environment to deploy a plurality of function deployment components in the computing environment, where: the CR file indicates information of a plurality of functions of an application; the plurality of function deployment components request the computing environment to deploy a plurality of function components in the computing environment; and the plurality of function components execute the plurality of functions of the application; determines that each of the plurality of function components has been deployed in the computing environment; and in response to determining that each of the plurality of function components has been deployed in the computing environment, requests the computing environment to delete each of the plurality of deployed function deployment components.

Abstract: In various embodiments, a training application generates a perceptual video model. The training application computes a first feature value for a first feature included in a feature vector based on a first color component associated with a first reconstructed training video. The training application also computes a second feature value for a second feature included in the feature vector based on a first brightness component associated with the first reconstructed training video. Subsequently, the training application performs one or more machine learning operations based on the first feature value, the second feature value, and a first subjective quality score for the first reconstructed training video to generate a trained perceptual quality model. The trained perceptual quality model maps a feature value vector for the feature vector to a perceptual quality score.

Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

Abstract: Stochastic or near-stochastic physical characteristics of resistive switching devices are utilized for generating data distinct to those resistive switching devices. The distinct data can be utilized for applications related to electronic identification. As one example, data generated from physical characteristics of resistive switching devices on a semiconductor chip can be utilized to form a distinct identifier sequence for that semiconductor chip, utilized for verification applications for communications with the semiconductor chip or utilized for generating cryptographic keys or the like for cryptographic applications.

Abstract: A photodetector structure over a partial length of a silicon waveguide structure within a photonic integrated circuit (PIC) chip. The photodetector structure is embedded within a cladding material surrounding the waveguide structure. The photodetector structure includes an absorption region, for example comprising Ge. A sidewall of the cladding material may be lined with a sacrificial spacer. After forming the absorption region, the sacrificial spacer may be removed and passivation material formed over a sidewall of the absorption region. Between the absorption region an impurity-doped portion of the waveguide structure there may be a carrier multiplication region, for example comprising crystalline silicon. If present, edge facets of the carrier multiplication region may be protected by a spacer material during the formation of an impurity-doped charge carrier layer. Occurrence of edge facets may be mitigated by embedding a portion of the photodetector structure with a thickness of the waveguide structure.

Abstract: The present disclosure provides a pump body, a compressor, and a heat exchange apparatus. The pump body includes a cylinder assembly, a piston, a motion transmission structure, and a drive member. The cylinder assembly includes a cylinder. The piston is movably disposed in the cylinder. The drive member is connected to the piston through the motion transmission structure. An outer peripheral wall of the piston has a rail groove connected end to end in a circumferential direction, and the cylinder has a guide structure extending into the rail groove; or an inner surface of the cylinder has a rail groove connected end to end in the circumferential direction, and the piston has a guide structure extending into the rail groove. So that through driving of the piston by the drive member, the piston is capable of rotating relative to the cylinder while reciprocating along a rotating axis of the piston.

Abstract: An energy-delivery device (10) includes a handle body (12), an antenna assembly (14) extending distally from the handle body (12), and a transmission line (16) configured to be detachably coupled to the antenna assembly (14).

Abstract: In various embodiments, a quality inference application estimates the perceived quality of reconstructed videos. The quality inference application computes a first feature value for a first feature included in a feature vector based on a color component associated with a reconstructed video. The quality inference application also computes a second feature value for a second feature included in the feature vector based on a brightness component associated with the reconstructed video. Subsequently, the quality inference application computes a perceptual quality score based on the first feature value and the second feature value. The perceptual quality score indicates a level of visual quality associated with at least one frame included in the reconstructed video.

Abstract: The concepts and technologies disclosed herein are directed to a network-assisted Raft consensus protocol, referred to herein as “NetRaft.” According to one aspect of the concepts and technologies disclosed herein, a system can include a plurality of servers operating in a server cluster, and a plurality of P4 switches corresponding to the plurality of servers. Each server of the plurality of servers can include a back-end that executes a complete Raft algorithm to perform leader election, log replication, and log commitment of a Raft consensus algorithm. Each P4 switch of the plurality of P4 switches can include a front-end that executes a partial Raft algorithm to perform the log replication and the log commitment of the Raft consensus algorithm. The back-end can maintain a complete state for responding to requests that cannot be fulfilled by the front-end. The requests can include read requests and/or write requests.

Abstract: A display method, an electronic device, and a storage medium, which relate to a field of natural language processing and a field of display. The display method includes: acquiring a content to be displayed; extracting a target term from the content using a term extraction rule; acquiring an annotation information for at least one target term, responsive to an extraction of the at least one target term; and displaying the annotation information for the at least one target term and the content.

Abstract: A display method, a method of training a semantic unit detection model, an electronic device, and a storage medium, which relate to a field of artificial intelligence technology, in particular to fields of natural language processing and machine translation technologies. The display method includes: acquiring a language sequence to be displayed; dividing the language sequence to be displayed into a plurality of semantic units with semantics; and converting the plurality of semantic units into subtitles for display one by one.

Abstract: In various embodiments, a hindsight application computes a total download size for a sequence of encoded chunks associated with a media title for evaluation of at least one aspect of a video streaming service. The hindsight application computes a feasible download end time associated with a source chunk of the media title based on a network throughput trace and a subsequent feasible download end time associated with a subsequent source chunk of the media title. The hindsight application then selects an encoded chunk associated with the source chunk based on the network throughput trace, the feasible download end time, and a preceding download end time associated with a preceding source chunk of the media title. Subsequently, the hindsight application computes the total download size based on the number of encoded bits included in the first encoded chunk. The total download size correlates to an upper bound on visual quality.

Abstract: An offset data acquisition method and device of a fluxgate magnetometer are provided by the present disclosure, wherein the offset data acquisition method of the fluxgate magnetometer comprises: controlling the first analog switch, the second analog switch and the third analog switch to change directions within a preset period to obtain eight switch direction combinations between the first analog switch, the second analog switch and the third analog switch; acquiring magnetic field measurement data corresponding to an each of the switch direction combinations; and the magnetic field measurement data comprises x-axis magnetic field measurement data, y-axis magnetic field measurement data and z-axis magnetic field measurement data; and acquiring the offset data based on influence factors of an offset and the magnetic field measurement data within the preset period.

Abstract: In various embodiments, a data optimization application mitigates scoring inaccuracies in subjective quality experiments. In operation, the data optimization application generates a model that includes a first set of individual scores and a first set of parameters. The first set of parameters includes a first subjective score set and a first set of subjective factor sets. The data optimization application performs one or more optimization operations on the first set of parameters to generate a second set of parameters. The second set of parameters includes a second subjective score set and a second set of subjective factor sets, wherein the second subjective score set compensates for at least a first subjective factor set included in the second set of subjective factor sets.