Abstract: An electronic device includes a first antenna radiator, a second antenna radiator, a first feed source, and a second feed source. The first antenna radiator includes a first feed point and a first ground point. The second antenna radiator includes a second feed point and a second ground point. The first feed point is disposed at a side of the first ground point away from the second ground point, and the second feed point is disposed at a side of the second ground point away from the first ground point. The first feed source is electrically connected to the first feed point and is configured to provide a feed signal for the first antenna radiator. The second feed source is electrically connected to the second feed point and is configured to provide a feed signal for the second antenna radiator.

Abstract: Provided are an automatic trigger type identification method and device and an oscilloscope, which belong to the field of oscilloscopes. The method includes analyzing characteristic parameter data of a to-be-triggered signal. The characteristic parameter data comprises at least one of bus protocol matching information or variation information of at least one characteristic parameter. In this way, a trigger type capable of stably triggering the to-be-triggered signal can be obtained for user selection or automatic selection for trigger.

Abstract: There is provided a neurosynaptic processing core with spike time dependent plasticity (STDP) learning for a spiking neural network, including: a spiking neuron block including a pre-synaptic block and a post-synaptic block; a synapse block communicatively coupled to the spiking neuron block; a STDP learning block communicatively coupled to the spiking neuron block and the synapse block, the STDP learning block including a pre-synaptic event accumulator including a pre-synaptic spike event memory block and a pre-synaptic spike parameter modifier; a post-synaptic event accumulator including a post-synaptic spike event memory block and a post-synaptic spike parameter modifier, a weight change accumulator, and a weight change parameter modifier; a learning error modulator; and a synaptic weight modifier configured to modify a synaptic weight parameter based on a weight change parameter and a learning error corresponding to the synaptic weight parameter.

Abstract: Disclosed are a device synchronization calibration method and apparatus, a device, and a storage medium. The method includes that timestamp synchronization deviations between all two devices among at least two devices is acquired, that it is determined whether each of the timestamp synchronization deviations between the all two devices is a set value, and that a synchronization calibration instruction is generated in response to a determination result that any timestamp synchronization deviation is not the set value. The synchronization calibration instruction is used for performing synchronization calibration for two devices corresponding to any timestamp synchronization deviation.

Abstract: The present disclosure relates to at least one method for ascertaining at least one attribute of pressure vessel wall. A method comprises: while a pressure vessel, which comprises a wall having an outer surface and an inner surface, is operating: ascertaining a current wavelength shift of a first fiber Bragg grating (FBG) sensor disposed at a first outer surface location on the pressure vessel; and ascertaining a current thickness of the wall at the first outer surface location by: computing a vector based on a time series of the current wavelength shift, or a derivative of the time series, or a derivative of the current wavelength shift; providing the vector to a predetermined regression model; and using the regression model, ascertaining the current thickness of the wall.

Abstract: Provided are an automatic trigger type identification method and device and an oscilloscope, which belong to the field of oscilloscopes. The method includes analyzing characteristic parameter data of a to-be-triggered signal. The characteristic parameter data comprises at least one of bus protocol matching information or variation information of at least one characteristic parameter. In this way, a trigger type capable of stably triggering the to-be-triggered signal can be obtained for user selection or automatic selection for trigger.

Abstract: Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.

Abstract: Described is an electro-optical apparatus and method for correcting myopia that includes at least one adaptive lens, a power source, and an eye tracker. The eye tracker includes an image sensor and a processor operatively connected to the adaptive lens and the image sensor. The processor is configured to receive electrical signals from the image sensor and to control the correction power of the adaptive lens to correct myopia, with the correction power dependent on a user's gaze distance and myopia prescription strength. A lower-power-consumption method of eye glint tracking is further described.

Abstract: According to various embodiments, a testing apparatus may be provided. The testing apparatus may include: a cell pair comprising two l-bit memory cells configured to represent a stored pattern of l-bit; and a converter configured to convert a query pattern of l-bit into a pair of voltages defined such that when applied to gates of the cell pair, the voltages make the cell pair into high resistance mode when the query pattern matches the stored pattern and into low resistance mode when the query pattern does not match the stored pattern.

Abstract: Techniques for re-associating dynamic metadata with media data are provided. A media processing system creates, with a first media processing stage, binding information comprising dynamic metadata and a time relationship between the dynamic metadata and media data. The binding information may be derived from the media data. While the first media processing stage delivers the media data to a second media processing stage in a first data path, the first media processing stage passes the binding information to the second media processing stage in a second data path. The media processing system re-associates, with the second media processing stage, the dynamic metadata and the media data using the binding information.

Abstract: Described is an electro-optical apparatus and method for correcting myopia that includes at least one adaptive lens, a power source, and an eye tracker. The eye tracker includes an image sensor and a processor operatively connected to the adaptive lens and the image sensor. The processor is configured to receive electrical signals from the image sensor and to control the correction power of the adaptive lens to correct myopia, with the correction power dependent on a user's gaze distance and myopia prescription strength. A lower-power-consumption method of eye glint tracking is further described.

Abstract: Described is an electro-optical apparatus and method for correcting myopia that includes at least one adaptive lens, a power source, and an eye tracker. The eye tracker includes an image sensor and a processor operatively connected to the adaptive lens and the image sensor. The processor is configured to receive electrical signals from the image sensor and to control the correction power of the adaptive lens to correct myopia, with the correction power dependent on a user's gaze distance and myopia prescription strength. A lower-power-consumption method of eye glint tracking is further described.

Abstract: Techniques for re-associating dynamic metadata with media data are provided. A media processing system creates, with a first media processing stage, binding information comprising dynamic metadata and a time relationship between the dynamic metadata and media data. The binding information may be derived from the media data. While the first media processing stage delivers the media data to a second media processing stage in a first data path, the first media processing stage passes the binding information to the second media processing stage in a second data path. The media processing system re-associates, with the second media processing stage, the dynamic metadata and the media data using the binding information.

Abstract: Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.

Abstract: Techniques for re-associating dynamic metadata with media data are provided. A media processing system creates, with a first media processing stage, binding information comprising dynamic metadata and a time relationship between the dynamic metadata and media data. The binding information may be derived from the media data. While the first media processing stage delivers the media data to a second media processing stage in a first data path, the first media processing stage passes the binding information to the second media processing stage in a second data path. The media processing system re-associates, with the second media processing stage, the dynamic metadata and the media data using the binding information.

Abstract: Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.

Abstract: Fingerprint-based content identification is described. Bin-counting detects linear trends based on data points that are generated from a set of query fingerprints, which are extracted from a query content item and a matching set of corresponding reference content items that are extracted from a reference content item. RANSAC may detect trends based on confidence scores that are computed for multiple candidate content items. The trends detected for the candidate content items are compared against a threshold in order of decreasing confidence score until a trend that satisfies the threshold is found. A ranking-based mechanism for fingerprint-based content identification may use a bin-counting or RANSAC-based trend detection mechanism to identify duplicate or multiple reference content items that all match the same query content item.

Abstract: Derivation of a fingerprint includes generating feature matrices based on one or more training images, generating projection matrices based on the feature matrices in a training process, and deriving a fingerprint for one or more images by, at least in part, projecting a feature matrix based on the one or more images onto the projection matrices generated in the training process.

Abstract: The present invention may be used to estimate operational characteristics of devices that transmit and receive streams of information in a communication system. In one application, the level of occupancy of a FIFO buffer in a processing device such as a router or wireless access point is estimated by monitoring packets transmitted by the processing device. Estimates of the operational characteristics can be used to control communications in the system so that the overall performance is improved. Techniques that can be used to mitigate effects of low signal-to-noise ratio conditions are also disclosed.

Abstract: Content identification and quality monitoring are provided. The method involves obtaining a first fingerprint derived from a first media content, processing the first media content to generate a second media content, obtaining a second fingerprint derived from the second media content, and comparing the first fingerprint and the second fingerprint to determine one or more of: a similarity between the first fingerprint and the second fingerprint that indicates that the second media content is generated from the first media content or a difference between the first fingerprint and the second fingerprint to identify a quality degradation between the first media content and the second media content.