Abstract: Herein provided are cubic boron arsenide (c-BAs) single crystals having an unexpectedly high ambipolar mobility at room temperature, µa, at one or more locations thereof that is greater than or equal to 1500, 1600, 1700, 1800, 1900, 2000, 2100, 2200, 2300, 2400, 2500, 2600, 3000, 4000, 5000, 6000, 7000, 8000, 9000, or 10000 cm2V-1s-1, wherein the ambipolar mobility is defined as: µa = 2µeµh/(µe + µh), wherein µe is electron mobility and µh is hole mobility, and having a room temperature thermal conductivity at the one or more locations thereof that is greater than or equal to 1000 Wm-1K-1. Methods of making and using the c-BAs single crystals are also provided.

Abstract: An apparatus for controlling a cylinder by a microfluidic stream includes a microtube, a first laser-driven photoacoustic microfluid pump (LDMP), and a fiber optic element. The microtube includes a fluid and a cylinder. The fiber optic element includes a first end and a second end. The first end is disposed on the first LDMP and the second end is disposed in a first end portion of the microtube. The first LDMP is configured to generate a directional fluidic jet from the fluid and to push the cylinder in a direction away from the second end of the fiber optic element.

Abstract: A dual camera module system includes a housing and a pair of camera modules (e.g., digital cameras) that are aligned with fields of view that overlap below the housing. The camera modules are mounted to a bench within the housing. The dual camera module system is configured for mounting above areas such as retail establishments or other materials handling facilities. The housing is formed from one or more sections of plastic or like materials, and includes inlets and outlets that enable air to flow past the camera modules and other components within the housing, and to maintain such components at a desired temperature. Images captured by the imaging devices of the camera module may be utilized for any purpose.

Abstract: The present invention relates to a detection method for an assembly body multi-view change based on feature matching, comprising the following steps: S1, acquiring a first image and a second image; S2, performing feature point extraction and feature matching on the first image and the second image to obtain a matching pair set, a first unmatched point set of the first image and a second unmatched point set of the second image; S3, acquiring a first to-be-matched area set of the first image according to the first unmatched point set; acquiring a second to-be-matched area set of the second image according to the second unmatched point set; S4, performing feature matching on each first unmatched area and each second unmatched area one by one to obtain a plurality of matching results; and S5, outputting the assembly body change type according to the plurality of matching results.

Abstract: The present invention relates to a detection method for an assembly body multi-view change based on feature matching, comprising the following steps: S1, acquiring a first image and a second image; S2, performing feature point extraction and feature matching on the first image and the second image to obtain a matching pair set, a first unmatched point set of the first image and a second unmatched point set of the second image; S3, acquiring a first to-be-matched area set of the first image according to the first unmatched point set; acquiring a second to-be-matched area set of the second image according to the second unmatched point set; S4, performing feature matching on each first unmatched area and each second unmatched area one by one to obtain a plurality of matching results; and S5, outputting the assembly body change type according to the plurality of matching results.

Abstract: When a lens assembly of an imaging device is subject to impacts, vibrations or other movements, and an optical axis of a lens assembly is varied as a result of the movements, blurring or pixel shifts may be reduced or eliminated at a targeted location within an image plane by shifting a lens of the lens assembly by a distance calculated based on an angle corresponding to the selected location, an angular difference between orientations of the optical axis, and a focal length of the imaging device. If the distance would result in a pixel shift at a center of the image plane in excess of a maximum allowable pixel shift, an alternate distance may be calculated based on the maximum allowable pixel shift, the angular difference between orientations of the optical axis, and the focal length of the imaging device.

Abstract: An apparatus for drug delivery is presented in accordance with aspects of the present disclosure. The apparatus includes a laser-driven photoacoustic microfluid pump (LDMP), an open tube capillary including a first end and a second end; the first end disposed on the LDMP, the open tube capillary configured to store a drug. The LDMP is configured to generate a fluidic jet from the drug and deliver the drug.

Abstract: A dual camera module system includes a housing and a pair of camera modules (e.g., digital cameras) that are aligned with fields of view that overlap below the housing. The camera modules are mounted to a bench within the housing. The dual camera module system is configured for mounting above areas such as retail establishments or other materials handling facilities. The housing is formed from one or more sections of plastic or like materials, and includes inlets and outlets that enable air to flow past the camera modules and other components within the housing, and to maintain such components at a desired temperature. Images captured by the imaging devices of the camera module may be utilized for any purpose.

Abstract: A method is performed at a computer for automatically correcting typographical errors. The computer selects a target word in a target sentence and identifies a target word therein as having a typographical error and first and second sequences of words separated by the target word as context. After identifying, among a database of grammatically correct sentences, a set of sentences having the first and second sequences of words, each sentence including a replacement word, the computer selects a set of candidate grammatically correct sentences whose corresponding replacement words have similarities to the target word above a pre-set threshold, Finally, the computer chooses, among the set of candidate grammatically correct sentences, a fittest grammatically correct sentence according to a linguistic model and replaces the target word in the target sentence with the replacement word within the fittest grammatically correct sentence.

Abstract: A method is performed at a computer for automatically correcting typographical errors. The computer selects a target word in a target sentence and identifies a target word therein as having a typographical error and first and second sequences of words separated by the target word as context. After identifying, among a database of grammatically correct sentences, a set of sentences having the first and second sequences of words, each sentence including a replacement word, the computer selects a set of candidate grammatically correct sentences whose corresponding replacement words have similarities to the target word above a pre-set threshold, Finally, the computer chooses, among the set of candidate grammatically correct sentences, a fittest grammatically correct sentence according to a linguistic model and replaces the target word in the target sentence with the replacement word within the fittest grammatically correct sentence.

Abstract: The present application discloses a method, an electronic system and a non-transitory computer readable storage medium for recognizing audio commands in an electronic device. The electronic device obtains audio data based on an audio signal provided by a user and extracts characteristic audio fingerprint features from the audio data. The electronic device further determines whether the corresponding audio signal is generated by an authorized user by comparing the characteristic audio fingerprint features with an audio fingerprint model for the authorized user and with a universal background model that represents user-independent audio fingerprint features, respectively. When the corresponding audio signal is generated by the authorized user of the electronic device, an audio command is extracted from the audio data, and an operation is performed according to the audio command.

Abstract: A method is performed at a device having one or more processors and memory. The device establishes a first-level Deep Neural Network (DNN) model based on unlabeled speech data, the unlabeled speech data containing no speaker labels and the first-level DNN model specifying a plurality of basic voiceprint features for the unlabeled speech data. The device establishes a second-level DNN model by tuning the first-level DNN model based on labeled speech data, the labeled speech data containing speech samples with respective speaker labels, wherein the second-level DNN model specifies a plurality of high-level voiceprint features. Using the second-level DNN model, registers a first high-level voiceprint feature sequence for a user based on a registration speech sample received from the user. The device performs speaker verification for the user based on the first high-level voiceprint feature sequence registered for the user.

Abstract: A method of processing information content based on a Chinese language model is performed at a computer, the method including: identifying a plurality of expressions in the information content extracted from a speech input through speech recognition that is queued to be processed; dividing the expressions into a plurality of characteristic units according to semantic features and predetermined characteristics associated with each characteristic unit, each including a subset of the expressions and the predetermined characteristics at least including a respective integer number of expressions that are included in the characteristic unit; extracting, from the Chinese language model, a plurality of probabilities for punctuation marks associated with each characteristic unit; and in accordance with the probabilities, associating a respective punctuation mark with each characteristic unit included in the information content.

Abstract: A method of recognizing speech commands includes generating a background acoustic model for a sound using a first sound sample, the background acoustic model characterized by a first precision metric. A foreground acoustic model is generated for the sound using a second sound sample, the foreground acoustic model characterized by a second precision metric. A third sound sample is received and decoded by assigning a weight to the third sound sample corresponding to a probability that the sound sample originated in a foreground using the foreground acoustic model and the background acoustic model. The method further includes determining if the weight meets predefined criteria for assigning the third sound sample to the foreground and, when the weight meets the predefined criteria, interpreting the third sound sample as a portion of a speech command. Otherwise, recognition of the third sound sample as a portion of a speech command is forgone.

Abstract: Systems and methods are provided for adding punctuations. For example, one or more first feature units are identified in a voice file taken as a whole; the voice file is divided into multiple segments by detecting silences in the voice file; one or more second feature units are identified in the voice file; a first aggregate weight of first punctuation states of the voice file and a second aggregate weight of second punctuation states of the voice file are determined, using a language model established based on word separation and third semantic features; a weighted calculation is performed to generate a third aggregate weight based on a linear combination associated with the first aggregate weight and the second aggregate weight; and one or more final punctuations are added to the voice file based on at least information associated with the third aggregate weight.

Abstract: The present invention, pertaining to the field of speech recognition, discloses a reminder setting method and apparatus. The method includes: acquiring speech signals; acquiring time information in speech signals by using keyword recognition, and determining reminder time for reminder setting according to the time information; acquiring text sequence corresponding to the speech signals by using continuous speech recognition, and determining reminder content for reminder setting according to the time information and the text sequence; and setting a reminder according to the reminder time and the reminder content.

Abstract: An automatic speech recognition method includes at a computer having one or more processors and memory for storing one or more programs to be executed by the processors, obtaining a plurality of speech corpus categories through classifying and calculating raw speech corpus; obtaining a plurality of classified language models that respectively correspond to the plurality of speech corpus categories through a language model training applied on each speech corpus category; obtaining an interpolation language model through implementing a weighted interpolation on each classified language model and merging the interpolated plurality of classified language models; constructing a decoding resource in accordance with an acoustic model and the interpolation language model; and decoding input speech using the decoding resource, and outputting a character string with a highest probability as a recognition result of the input speech.