Abstract: A method for denoising magnetic resonance images and data is disclosed herein. An example method includes receiving a series of MRF images from a scanning device; identifying one or more subsets of voxels for the series of MRF images; generating one or more sets of eigenvectors, each set of the one or more sets of eigenvectors corresponding to one of the one or more subsets of voxels, and each eigenvector of the one or more sets of eigenvectors having a corresponding eigenvalue; applying a noise distribution model to each of the eigenvalues; identifying a subset of the eigenvalues as corresponding to noise based on the noise distribution model; and reconstructing the series of MRF images without the subset of eigenvalues identified as corresponding to noise.

Abstract: An electrical device having a stranded wire contact. The device includes a stranded wire with individual wires and a contact piece for electrical contacting of the stranded wire. The stranded wire contact is produced by thermal diffusion bonding.

Abstract: The present invention provides a vehicle bus-based communication method and apparatus, a computer device and a storage medium. The vehicle bus-based communication method includes: monitoring data flows transmitted through a vehicle bus by vehicle electronic control units; determining undetected data flows in to-be-obtained data flows when the monitoring reaches a first time length; broadcasting data flow obtaining requests through the vehicle bus, the data flow obtaining requests specifying queries for the undetected data flows; and obtaining data flows that are fed back through the vehicle bus in response to the data flow obtaining requests. When data flows of a vehicle are obtained through a vehicle bus, data flows on the vehicle bus are first obtained in a monitoring manner, thereby ensuring data flow obtaining efficiency.

Abstract: An intelligent vacuum cleaning and dust collecting apparatus includes a robotic vacuum cleaner and a dust collector. The robotic vacuum cleaner includes a housing, an infrared receiving assembly, a dust bin assembly, host charging elastic pieces, a driving motor, running wheels, and a sweeping assembly. The sweeping assembly includes a sweeping shaft and a sweeping brush, and a communication transmitting light is disposed inside the housing. The dust collector includes a dust collector body, four groups of infrared emitting lights, virtual wall signal lights, dust collector charging elastic pieces, and a dust collector assembly, and a communication receiving light is disposed on a bottom portion of the dust collector body.

Abstract: Systems and methods are provided for the configurable simulation of distributed systems, such as vehicle-based processing systems. Simulations may be performed in various modes in which the timing of operations is based on timing observed in real-world instances or other recorded processes. In one simulation mode, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes. In another simulation mode, data generated during the simulation is associated with timing data based on a statistical analysis of timing data from one or more recorded processes. The various simulation modes, and a production mode for real-word instances, may be provided via a unified application programming interface.

Abstract: A method for performing magnetic resonance fingerprinting includes acquiring a plurality of MR image datasets using at least two pulse sequence types, the plurality of MR image datasets representing signal evolutions for image elements in a region of interest, comparing the plurality of MR image datasets to a dictionary of signal evolutions to identify at least one parameter of the MR image datasets and generating a report indicating the at least one parameter of the MR image datasets.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. Sampling is performed in response to a diffusion-weighted double-echo pulse sequence. Sampling acquires transient-state signals of the double-echo sequence. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals, and a characterization logic that characterizes a resonant species in the object as a result of comparing acquired signals to reference signals.

Abstract: Systems and methods are provided for the accurate reproduction during simulation of distributed systems, such as vehicle-based processing systems. In a simulation, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes.

Abstract: Systems and methods are provided for the configurable simulation of distributed systems, such as vehicle-based processing systems. Simulations may be performed in various modes in which the timing of operations is based on timing observed in real-world instances or other recorded processes. In one simulation mode, the execution times of individual tasks are aligned to those of a recorded process. Data consumed during the recorded process is also consumed during the corresponding portion of the simulation, and data generated during the simulation is associated with timing data from data generated during the recorded processes. In another simulation mode, data generated during the simulation is associated with timing data based on a statistical analysis of timing data from one or more recorded processes. The various simulation modes, and a production mode for real-word instances, may be provided via a unified application programming interface.

Abstract: Systems and methods are provided for the realistic simulation of distributed systems, such as vehicle-based processing systems. A statistical property of message timestamps of a plurality of prior messages from one or more recorded processes is determined. During a simulation, messages that are generated are associated with timing data based on the statistical property from the recorded processes.

Abstract: The present disclosure relates to a swing bearing and a wearable device. The swing bearing includes an inner ring, an outer ring, and a plurality of rolling elements, a plurality of first grooves arranged at intervals along a circumferential direction being formed on an outer circumferential surface of the inner ring, a plurality of second grooves arranged at intervals along a circumferential direction being formed on an inner circumferential surface of the outer ring, each rolling element being disposed between the corresponding first groove and the second groove, and the rolling element, the first groove, and the second groove being configured to restrict relative rotational movement between the inner ring and the outer ring and allow the inner ring and the outer ring to produce shaft axis deflection movement.

Abstract: A portable electronic device includes a battery, a transcutaneous electrical nerve stimulation (TENS) circuit, a power management circuit, a first output unit, and a second output unit. The TENS circuit provides a TENS electrical current. The power management circuit is coupled to the battery and the TENS circuit for managing a power distribution of the portable electronic device. The first output unit receives the TENS electrical current from the TENS circuit and outputs the TENS electrical current to a user. The second output unit receives a power signal from the battery and outputs the power signal to an external electronic device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object detection predictions from a neural network. In some implementations, an input characterizing a first region of an environment is obtained. The input includes a projected laser image generated from a three-dimensional laser sensor reading of the first region, a camera image patch generated from a camera image of the first region, and a feature vector of features characterizing the first region. The input is processed using a high precision object detection neural network to generate a respective object score for each object category in a first set of one or more object categories. Each object score represents a respective likelihood that an object belonging to the object category is located in the first region of the environment.

Abstract: A system and method is provided for acquisition of magnetic resonance fingerprinting (“MRF”) data that includes determining a non-locally sequential sampling pattern for a Cartesian grid of k-space, performing a series of sequence blocks using acquisition parameters that vary between sequence blocks to acquire MRF data from a subject using the Cartesian grid of k-space and the determined non-locally sequential sampling pattern, assembling the MRF data into a series of signal evolutions, comparing the series of signal evolutions to a dictionary of known signal evolutions to determine tissue properties of the subject, and generating a report indicating the tissue properties of the subject.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating object detection predictions from a neural network. In some implementations, an input characterizing a first region of an environment is obtained. The input includes a projected laser image generated from a three-dimensional laser sensor reading of the first region, a camera image patch generated from a camera image of the first region, and a feature vector of features characterizing the first region. The input is processed using a high precision object detection neural network to generate a respective object score for each object category in a first set of one or more object categories. Each object score represents a respective likelihood that an object belonging to the object category is located in the first region of the environment.

Abstract: Disclosed herein are neural networks for generating target classifications for an object from a set of input sequences. Each input sequence includes a respective input at each of multiple time steps, and each input sequence corresponds to a different sensing subsystem of multiple sensing subsystems. For each time step in the multiple time steps and for each input sequence in the set of input sequences, a respective feature representation is generated for the input sequence by processing the respective input from the input sequence at the time step using a respective encoder recurrent neural network (RNN) subsystem for the sensing subsystem that corresponds to the input sequence. For each time step in at least a subset of the multiple time steps, the respective feature representations are processed using a classification neural network subsystem to select a respective target classification for the object at the time step.

Abstract: The present disclosure relates to a scanning method for an electronic control unit in a vehicle and a vehicle diagnostic device. The vehicle diagnostic device is communicatively connected to at least two vehicle buses in the vehicle, each of the vehicle buses is connected to at least one electronic control unit in the vehicle. The scanning method determines a scan list corresponding to each of the vehicle buses. The scan list includes a to-be-scanned electronic control unit. The vehicle diagnostic device transmitting a scan signal on the vehicle buses in parallel according to the scan list corresponding to each of the vehicle buses, to determine whether the to-be-scanned electronic control unit in the scan list exists in the vehicle. The parallel scanning in this way can effectively improve the efficiency of automatic scanning and significantly shorten a time required to complete the automatic scanning, and improves user experience.

Abstract: The present invention discloses a rechargeable tin-iodate battery, including static battery and redox flow battery, in which anodic tin will be dissolved as Sn2+ and Sn4+ ions while iodate will be reduced to iodine and iodide at carbon cathode during discharging. The process will be reversed in charging. The tin-iodate battery comprises a tin anode (1), a carbon cathode (2), a selective permeable separator (3), and aqueous acidic electrolytes, whereby electricity energy can stored with high energy density and high power density, and large-scale energy storage and electrified vehicle can be achieved.

Abstract: A mutant-type uricase, PEG modified mutant-type uricase, and application thereof. The mutant-type uricase has a cysteine residue introduced by recombination, the cysteine residue is located at an inactive region of the uricase, and one or more PEGs are coupled to the mutant-type uricase. The resulting PEGylated mutant-type uricase has characteristics of a half-life extension, product uniformity, and stable enzyme activity. Therefore, the present invention has a wide future application range.

Abstract: Embodiments of the disclosure provide systems and methods for determining depth information in a two-dimensional (2D) image. An exemplary system may include a processor and a non-transitory memory storing instructions that, when executed by the processor, cause the system to perform the various operations. The operations may include receiving a first feature map based on the 2D image and applying an extraction network having a convolution operation and a pooling operation to the first feature map to obtain a second feature map. The operations may also include applying a reconstruction network having a deconvolution operation to the second feature map to obtain a depth map.