Abstract: Systems, apparatuses and methods of adaptively controlling a cache operating voltage are provided that comprise receiving indications of a plurality of cache usage amounts. Each cache usage amount corresponds to an amount of data to be accessed in a cache by one of a plurality of portions of a data processing application. The plurality of cache usage amounts are determining based on the received indications of the plurality of cache usage amounts. A voltage level applied to the cache is adaptively controlled based on one or more of the plurality of determined cache usage amounts. Memory access to the cache is controlled to be directed to a non-failing portion of the cache at the applied voltage level.

Abstract: Various codecs and methods of using the same are disclosed. In one aspect, a method of processing video data is provided that includes encoding or decoding the video data with a codec in aggressive deployment and correcting one or more errors in the encoding or decoding wherein the error correction includes re-encoding or re-decoding the video data in a non-aggressive deployment or generating a skip picture.

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 relates to compounds useful as inhibitors of protein kinases, containing a cysteine residue in the ATP binding site. The invention further provides for pharmaceutically acceptable compositions comprising therapeutically effective amounts of one or more of the protein kinase inhibitor compounds and methods of using said compositions in the treatment of cancers and carcinomas.

Abstract: The present invention provides compounds, pharmaceutically acceptable compositions thereof, and methods of using the same.

Abstract: An encoder encodes pixels representative of a picture in a multimedia stream, generates a first approximate signature based on approximate values of pixels in a reconstructed copy of the picture, and transmits the encoded pixels and the first approximate signature. A decoder receives a first packet including the encoded pixels and the first approximate signature, decodes the encoded pixels, and transmits a first signal in response to comparing the first approximate signature and a second approximate signature generated based on approximate values of the decoded pixels. If a corrupted packet is detected, the multimedia application requests an intra-coded picture in response to the first approximate signature differing from the second approximate signature. The second signal instructs the decoder to bypass requesting an intra-coded picture and to continue decoding received packets in response to the first approximate signature being equal to the second approximate signature.

Abstract: The present invention provides compounds of formula I-h: useful as inhibitors of protein kinases, pharmaceutically acceptable compositions thereof, and methods of using the same.

Abstract: A migration prevention system for radioactive wastewater from an underground nuclear power plant. The underground nuclear power plant includes a nuclear island including an underground cavern group including a reactor cavity and auxiliary cavities. The migration prevention system includes a protective layer coating the reactor cavity and an impermeable layer surrounding the nuclear island. The protective layer includes an inner liner, a drainage layer, and a filling layer of rock fractures in that order. The inner liner is configured to prevent exosmosis of the radioactive wastewater of the reactor cavity. The drainage layer is configured to gather and drain seepage water. The impermeable layer is disposed in the periphery of the underground cavern group including the reactor cavity and the auxiliary cavities, and is configured to isolate the underground cavern group from natural underground water.

Abstract: A device is configured to perform a method for neck and shoulder detection. The method includes receiving an image that includes a face. The method also includes performing a neck localization operation on the image. The neck localization operation is performed using results from a pre-trained regression model. The method further includes performing a shoulder localization operation on the image. The method still further includes estimating a plurality of shoulder and neck keypoints using results of the neck localization operation and the shoulder localization operation.

Abstract: Systems and methods are provided for speech recognition. For example, audio characteristics are extracted from acquired voice signals; a syllable confusion network is identified based on at least information associated with the audio characteristics; a word lattice is generated based on at least information associated with the syllable confusion network and a predetermined phonetic dictionary; and an optimal character sequence is calculated in the word lattice as a speech recognition result.

Abstract: A system and method for virtual clothes fitting based on video augmented reality in a mobile wireless device is disclosed. In an embodiment, a method for virtual cloth-fitting with video augmentation in a mobile wireless device includes receiving a video stream of an upper body of a user; detecting a face in the video stream; detecting a shoulder contour; determining keypoints of the shoulder and neck portions of the video stream of the upper body of the user according to the detected face and the detected shoulder contour; mapping an image of clothes to the video stream of the upper body of the user according to the keypoints; and displaying an augmented video stream of the upper body of the user with the image of the clothes overlaid over a portion of the video stream of the upper body of the user.

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 and a device for training a DNN model includes: at a device including one or more processors and memory: establishing an initial DNN model; dividing a training data corpus into a plurality of disjoint data subsets; for each of the plurality of disjoint data subsets, providing the data subset to a respective training processing unit of a plurality of training processing units operating in parallel, wherein the respective training processing unit applies a Stochastic Gradient Descent (SGD) process to update the initial DNN model to generate a respective DNN sub-model based on the data subset; and merging the respective DNN sub-models generated by the plurality of training processing units to obtain an intermediate DNN model, wherein the intermediate DNN model is established as either the initial DNN model for a next training iteration or a final DNN model in accordance with a preset convergence condition.

Abstract: A device is configured to perform a method for neck and shoulder detection. The method includes receiving an image that includes a face. The method also includes performing a neck localization operation on the image. The neck localization operation is performed using results from a pre-trained regression model. The method further includes performing a shoulder localization operation on the image. The method still further includes estimating a plurality of shoulder and neck keypoints using results of the neck localization operation and the shoulder localization operation.

Abstract: An LED light device and a circuit preparation method thereof are provided. The LED light device includes a base, an LED light unit, and a lamp shade. The LED light-emitting unit and the lamp shade are arranged on the base. The lamp shade covers the LED light-emitting unit inside. The circuit preparation method includes following steps of: providing a base which is a physical entity having a three-dimensional structure on the surface thereof; coating a circuit layer on the base surface through a programmable coating equipment, manual coating or the combined mode, wherein the circuit layer is a liquid or powder coating containing metal materials, and the thickness of the circuit layer is 20 ?m or more; baking the base coated with the circuit layer at the high temperature of 100-1,000° C. until the circuit layer is dried; and obtaining a base having a three-dimensional circuit after cooling.

Abstract: A method and device for voiceprint recognition, include: establishing 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; obtaining a plurality of high-level voiceprint features by tuning the first-level DNN model based on labeled speech data, the labeled speech data containing speech samples with respective speaker labels, and the tuning producing a second-level DNN model specifying the plurality of high-level voiceprint features; based on the second-level DNN model, registering a respective high-level voiceprint feature sequence for a user based on a registration speech sample received from the user; and performing speaker verification for the user based on the respective high-level voiceprint feature sequence registered for the user.

Abstract: Embodiments of the present invention disclose a service information pushing and receiving method, and a related apparatus and system. The service information pushing method includes: obtaining, by a radio access point (AP), service information provided by a service provider, adding the service information to a beacon frame, and broadcasting the beacon frame. A method for receiving pushed service information includes: obtaining, by a terminal, a beacon frame that carries service information, and extracting and outputting the service information in the beacon frame. The technical solution provided by the present invention enables a terminal to receive service information in a Wi-Fi network without accessing the network.

Abstract: The present disclosure is applicable to the communications field and provides a character updating method and apparatus. The method includes: receiving a character update request sent by a client, the character update request carrying a unicode of a character; searching for a file of which a file name is same with the unicode of the character, the file being configured to store single character data, the single character data being obtained by resolving character data stored in a font into single character data; and sending the found file to the client, so that the client updates, according to the character data in the received file, a corresponding character.

Abstract: A method and system for adding punctuation to a voice file is disclosed. The method includes: utilizing silence or pause duration detection to divide a voice file into a plurality of speech segments for processing, the voice file includes a plurality of features units; identifying all features units that appear in the voice file according to every term or expression and semantics features of the every term or expression that form each of the plurality of speech segments; using a linguistic model to determine a sum of weight of various punctuation modes in the voice file according to all the feature units, the linguistic model is built upon semantics features of various parsed out terms or expressions from a body text of a spoken sentence according to a language library; and adding punctuations to the voice file based on the determined sum of weight of the various punctuation modes.

Abstract: A mobile network access device, system and method are disclosed. The method includes sending data or a command to a storing unit or a baseband processing unit according to a logical address in a Secure Digital (SD) command, where the SD command is a result of converting a Small Computer System Interface (SCSI) Command Descriptor Block (CDB) after a terminal device encapsulates the received data or command into the SCSI CDB. In the embodiments of the present invention, the wireless Internet access function is integrated into an SD card. The mobile network access device determines to send the data or command to the baseband processing unit or storing unit according to the logical address in the SD command, which reduces the size of the mobile network access device and enables developers to design smaller terminal products.