Abstract: In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.

Abstract: In accordance with an exemplary embodiment, methods and systems are provided for controlling steering of an autonomous vehicle. The method includes: operating, by a processor, the autonomous vehicle in a semi-automated mode; receiving, by the processor, driver input including a measured driver torque; receiving, by the processor, threat data; determining, by the processor, a steering command bias based on an impedance relation, impedance parameters, the measured driver torque, and the threat data; determining, by the processor, a reference angle based on the steering command bias and a desired angle; and generating, by the processor, control data to control the steering of the autonomous vehicle based on the reference angle.

Abstract: A method performed by a processor in a network function virtualization infrastructure includes determining an amount of resources consumed by a virtual network function subsequent to a scaling of the amount of resources in response to an occurrence of a predefined trigger event, determining an amount of time elapsed between the predefined trigger event and a completion of the scaling, determining a key performance indicator value for the virtual network function subsequent to completion of the scaling, evaluating an efficiency of the predefined trigger event that triggers the scaling, based on the amount of resources consumed by the virtual network function subsequent to the scaling, the amount of time elapsed between the detection of the predefined trigger event and completion of the scaling, and the key performance indicator for the virtual network function subsequent to completion of the scaling, and adjusting the predefined trigger event based on the evaluating.

Abstract: A computer-aided design (CAD) system may support spatially-aware detection of trapped support areas in 3D printing. The CAD system may detect trapped support areas in the surface mesh in that detected trapped support area do not have linear access to an opening in the surface mesh, including by surrounding the surface mesh with a virtual bounding box that encloses the surface mesh, mapping the virtual bounding box and surface mesh into a 3D cube space, and tracking mesh cubes and bounding cubes of the 3D cube space. For a given mesh face of the surface mesh, The CAD system may determine whether the given mesh face is part of a trapped support area by projecting a ray from the given mesh face and assessing the given mesh face as part of a trapped support area based on the ray passing through a mesh cube or a bounding cube.

Abstract: This is a whole-lifecycle encrypted big data analysis method and system for the data from the different sources. The method performs unified local modeling of data from multiple data sources and transmitting them to a secure computing server after encryption. This secure computing server then processes and analyzes the data, including feature extraction, model training and model validation. The system includes multiple data sources corresponding to the described method and a secure computing server, for providing data, analyzing and processing the data. By processing and encrypting the data locally, and by supporting secure data sharing and federated learning of multiple data sources, this invention achieves protection of the data sources and addresses the privacy and security issues of the raw data for cross-institution big data collaborative analysis.

Abstract: Disclosed are a pump body assembly and a fluid machine. The pump body assembly comprises a rotation shaft and a piston provided with a sliding hole, wherein at least a portion of the rotation shaft penetrates into the sliding hole, during rotation of the piston with the rotation shaft, and the sliding hole is in sliding fit with the rotation shaft, the piston is provided with a piston communication passage communicated with the sliding hole. The pump body assembly can solve the problem that the piston impedes a flow of oil liquid during use of a rotary cylinder compressor.

Abstract: A translation method, a model training method, apparatuses, electronic devices and storage mediums, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. In an implementation, a weight for each translation model in at least two pre-trained translation models translating a to-be-translated specified sentence is acquired based on the specified sentence and a pre-trained weighting model; and the specified sentence is translating using the at least two translation models based on the weight for each translation model translating the specified sentence.

Abstract: A translation method, an electronic device and a storage medium, which relate to the field of artificial intelligence technologies, such as machine learning technologies, information processing technologies, are disclosed. An implementation includes: acquiring an intermediate translation result generated by each of multiple pre-trained translation models for a to-be-translated specified sentence in a same iteration of a translation process, so as to obtain multiple intermediate translation results; acquiring a co-occurrence word based on the multiple intermediate translation results; and acquiring a target translation result of the specified sentence based on the co-occurrence word.

Abstract: A machine translation method can include: acquiring a to-be-translated source text; generating an intervention text corresponding to the to-be-translated source text by using intervention symbols, the intervention text including a term vocabulary part and an other text part; translating the intervention text to obtain a first translation result of the intervention text, where the first translation result includes a translation result of the other text part and the term vocabulary part; and generating a target translated text of the to-be-translated source text based on the first translation result and preset translated content of the term vocabulary part.

Abstract: This application provides an indoor map generation method and apparatus. In the method, a plurality of first tracks are obtained based on a PDR algorithm. A plurality of first target tracks are further selected from the plurality of first tracks, and at least one second track corresponding to each first target track is extended to the first target track based on the first target track, to obtain a branch. The obtained branches are combined, to obtain a map.

Abstract: Disclosed is a chemical oxygen self-rescue device, including a breathing assembly (1), an oxygen generating assembly (2) and a gas bag; (3) the oxygen generating assembly includes an oxygen generating agent tank (21), a gas discharge valve (23) and an oxygen candle (22); the gas discharge valve is arranged on a component above an oxygen generating agent (213) in the oxygen generating agent tank and below a breathing end of the breathing assembly, and the opening and closing of the gas discharge valve are controlled by means of an inflated volume of the gas bag. The chemical oxygen self-rescue device reduces the resistance to breathing, lowers the temperature of breathed gas and improves the utilization rate of the oxygen generating agent.

Abstract: An electrical connector includes at least one terminal assembly. The terminal assembly includes: a first signal terminal and a second signal terminal being narrow-edge coupled; and an insulating block fixing the first signal terminal and the second signal terminal. A length of the first signal terminal is greater than a length of the second signal terminal. A first connecting portion of the first signal terminal is provided with at least one exposing area, which is exposed to the insulating block and exposed in air medium. The first connecting portion has at least one widening portion and at least one narrow portion connected to each other along a length direction thereof. A width of the widening portion is greater than a width of the narrow portion. The exposing area is provided at the widening portion. A second connecting portion of the second signal terminal is completely wrapped in the insulating block.

Abstract: In various embodiments a training application trains convolutional neural networks (CNNs) to reduce reconstruction errors. The training application executes a first CNN on a source image having a first resolution to generate a downscaled image having a second resolution. The training application executes a second CNN on the downscaled image to generate a reconstructed image having the first resolution. The training application computes a reconstruction error based on the reconstructed image and the source image. The training application updates a first learnable parameter value included in the first CNN based on the reconstruction error to generate at least a partially trained downscaling CNN. The training application updates a second learnable parameter included in the second CNN based on the reconstruction error to generate at least a partially trained upscaling CNN.

Abstract: In various embodiments an endpoint application reconstructs downscaled videos. The endpoint application accesses metadata associated with a portion of a downscaled video that has a first resolution and was generated using a trained downscaling convolutional neural network (CNN). The endpoint application determines, based on the metadata, an upscaler that should be used when upscaling the portion of the downscaled video. The endpoint application executes the upscaler on the portion of the downscaled video to generate a portion of a reconstructed video that is accessible for playback and has a second resolution that is greater than the first resolution.

Abstract: A method and apparatus for selecting a sample corpus used to optimize a translation model, an electronic device, a computer readable storage medium, and a computer program product are provided. The method includes: after acquiring a first corpus, translating the first corpus by using a to-be-optimized translation model to acquire a second corpus with different types of languages, then translating the second corpus by using the to-be-optimized translation model to acquire a third corpus, then determining a difficulty level of the first corpus based on a similarity between the first corpus and the third corpus, and finally determining the first corpus as a sample corpus used to perform optimization training on the to-be-optimized translation model in response to the difficulty level satisfying requirements of a difficulty level threshold.

Abstract: A pump body assembly, fluid machinery, and a heat exchange device. The pump body assembly includes: at least two structure members; a cylinder disposed between the two structure members; and a piston assembly disposed in the cylinder. The piston assembly includes a piston sleeve and a piston slidably disposed in the piston sleeve; an upper end surface of the piston sleeve fits and is limited by a lower end surface of one structure member disposed above the piston sleeve, to prevent the piston sleeve from displacing along a radial direction relative to the one structure member, and effectively solving a problem in prior art that working efficiency of the pump body assembly is affected because the piston sleeve of the pump body assembly is prone to eccentrically rotate.

Abstract: This application provides an additional object display method, an additional object display apparatus, and a computer device, and relates to the field of computer application technologies. The method includes: displaying a trigger control in a video playback interface; pausing playback of a video in response to an activation operation on the trigger control, and displaying a reference picture frame; obtaining a target object in the reference picture frame in response to a drag operation on the trigger control; and displaying, corresponding to the target object, an additional object corresponding to the trigger control in a picture frame of the video during playback of the video, so that an additional object matches a video playback picture during playback of the video.

Abstract: A cleansing composition includes at least three visually distinct phase layers. The first visually distinct phase layer includes at least one cosmetic solvent and has a Hilderbrand solubility parameter ? value that is greater than 15 cal.1/3·cm?2/3 and includes at least one cationic surfactant and at least one inorganic salt. The second visually distinct phase layer includes at least one cosmetic solvent having a Hilderbrand solubility parameter ? value less than 7.5 cal.1/3·cm?2/3. And the third visually distinct phase layer includes at least one cosmetic solvent having a Hilderbrand solubility parameter ? value that is between 8 and 10 cal.1/3·cm?2/3.