Abstract: Embodiments of the present invention provide a data transmission method, a data transmission apparatus, a processor, and a mobile terminal. The data transmission method includes: determining, by a mobile terminal, whether to use multiple data channels to transmit to-be-transmitted data; if determining to use the multiple data channels to transmit the to-be-transmitted data, selecting, by the mobile terminal, at least two activated data channels for the to-be-transmitted data according to current traffic information and service quality information that are of the multiple data channels; and using, by the mobile terminal, the selected at least two data channels to transmit the to-be-transmitted data. According to the embodiments of the present invention, data transmission efficiency is enhanced, and idleness and a waste of data channel resources are avoided.

Abstract: A method for controlling a transmit power of a terminal, and a terminal, where the method and the terminal include, working states of a first antenna and a second antenna may be monitored, and then a transmit power of the first antenna or that of the second antenna may be controlled according to a preset correspondence. Therefore, according to the method and the terminal, a transmit power of an antenna in a working state in the first antenna and the second antenna may be accurately controlled. If the transmit power is less than a standard transmit power, a Specific Absorption Rate (SAR) can be reduced.

Abstract: A method for controlling a transmit power of a terminal, and a terminal, where the method and the terminal include, working states of a first antenna and a second antenna may be monitored, and then a transmit power of the first antenna or that of the second antenna may be controlled according to a preset correspondence. Therefore, according to the method and the terminal, a transmit power of an antenna in a working state in the first antenna and the second antenna may be accurately controlled. If the transmit power is less than a standard transmit power, a Specific Absorption Rate (SAR) can be reduced.

Abstract: A framework is provided for associating dense images with topics. The framework is trained utilizing images, each having multiple regions, multiple visual characteristics and multiple keyword tags associated therewith. For each region of each image, visual features are computed from the visual characteristics utilizing a convolutional neural network, and an image feature vector is generated from the visual features. The keyword tags are utilized to generate a weighted word vector for each image by calculating a weighted average of word vector representations representing keyword tags associated with the image. The image feature vector and the weighted word vector are aligned in a common embedding space and a heat map is computed for the image. Once trained, the framework can be utilized to automatically tag images and rank the relevance of images with respect to queried keywords based upon associated heat maps.

Abstract: Online dictionary extension of word vectors techniques and systems are described that are configured to provide online extension of existing word vector dictionaries and thus overcome the failures of conventional techniques. In one example, a dictionary extension system is employed by a computing system to extend a word vector dictionary to incorporate a new word in an online manner Co-occurrence information is estimated for the new word with respect to the words in the existing dictionary. This is done by estimating co-occurrence information with respect to a large word set based on the existing dictionary and sparse co-occurrence information for the new word. The estimated co-occurrence information is utilized to estimate a new word vector associated with the new word by projecting the estimated co-occurrence information onto the existing word vector dictionary. An extended dictionary is created incorporating the original dictionary and the estimated new word vector.

Abstract: Embodiments of the present invention provide a data transmission method, a data transmission apparatus, a processor, and a mobile terminal. The data transmission method includes: determining, by a mobile terminal, whether to use multiple data channels to transmit to-be-transmitted data; if determining to use the multiple data channels to transmit the to-be-transmitted data, selecting, by the mobile terminal, at least two activated data channels for the to-be-transmitted data according to current traffic information and service quality information that are of the multiple data channels; and using, by the mobile terminal, the selected at least two data channels to transmit the to-be-transmitted data. According to the embodiments of the present invention, data transmission efficiency is enhanced, and idleness and a waste of data channel resources are avoided.

Abstract: Embodiments of the present invention provide a data transmission method, a data transmission apparatus, a processor, and a mobile terminal. The data transmission method includes determining, by a mobile terminal, whether to use multiple data channels to transmit to-be-transmitted data. The method also includes if determining to use the multiple data channels to transmit the to-be-transmitted data, selecting, by the mobile terminal, at least two activated data channels for the to-be-transmitted data according to current traffic information and service quality information that are of the multiple data channels. Additionally, the method includes using, by the mobile terminal, the selected at least two data channels to transmit the to-be-transmitted data.

Abstract: A framework is provided for associating images with topics utilizing embedding learning. The framework is trained utilizing images, each having multiple visual characteristics and multiple keyword tags associated therewith. Visual features are computed from the visual characteristics utilizing a convolutional neural network and an image feature vector is generated therefrom. The keyword tags are utilized to generate a weighted word vector (or “soft topic feature vector”) for each image by calculating a weighted average of word vector representations that represent the keyword tags associated with the image. The image feature vector and the soft topic feature vector are aligned in a common embedding space and a relevancy score is computed for each of the keyword tags. Once trained, the framework can automatically tag images and a text-based search engine can rank image relevance with respect to queried keywords based upon predicted relevancy scores.

Abstract: A method for controlling a transmit power of a terminal, and a terminal, where the method and the terminal include, working states of a first antenna and a second antenna may be monitored, and then a transmit power of the first antenna or that of the second antenna may be controlled according to a preset correspondence. Therefore, according to the method and the terminal, a transmit power of an antenna in a working state in the first antenna and the second antenna may be accurately controlled. If the transmit power is less than a standard transmit power, a Specific Absorption Rate (SAR) can be reduced.

Abstract: A framework is provided for associating images with topics utilizing embedding learning. The framework is trained utilizing images, each having multiple visual characteristics and multiple keyword tags associated therewith. Visual features are computed from the visual characteristics utilizing a convolutional neural network and an image feature vector is generated therefrom. The keyword tags are utilized to generate a weighted word vector (or “soft topic feature vector”) for each image by calculating a weighted average of word vector representations that represent the keyword tags associated with the image. The image feature vector and the soft topic feature vector are aligned in a common embedding space and a relevancy score is computed for each of the keyword tags. Once trained, the framework can automatically tag images and a text-based search engine can rank image relevance with respect to queried keywords based upon predicted relevancy scores.

Abstract: A framework is provided for associating dense images with topics. The framework is trained utilizing images, each having multiple regions, multiple visual characteristics and multiple keyword tags associated therewith. For each region of each image, visual features are computed from the visual characteristics utilizing a convolutional neural network, and an image feature vector is generated from the visual features. The keyword tags are utilized to generate a weighted word vector for each image by calculating a weighted average of word vector representations representing keyword tags associated with the image. The image feature vector and the weighted word vector are aligned in a common embedding space and a heat map is computed for the image. Once trained, the framework can be utilized to automatically tag images and rank the relevance of images with respect to queried keywords based upon associated heat maps.

Abstract: Embodiments of the present invention provide a data transmission method, a data transmission apparatus, a processor, and a mobile terminal. The data transmission method includes determining, by a mobile terminal, whether to use multiple data channels to transmit to-be-transmitted data. The method also includes if determining to use the multiple data channels to transmit the to-be-transmitted data, selecting, by the mobile terminal, at least two activated data channels for the to-be-transmitted data according to current traffic information and service quality information that are of the multiple data channels. Additionally, the method includes using, by the mobile terminal, the selected at least two data channels to transmit the to-be-transmitted data.

Abstract: A method for DRM file conversion is provided in an embodiment of the present disclosure, including: parsing a multipurpose Internet mail extensions (MIME) parameter in a rights type system of a DRM file to obtain file types and rights formats to which the DRM file can be converted; and converting, according to the file types and rights formats to which the DRM file can be converted, the DRM file into a file type and a rights format in the file types and rights formats to which the DRM file can be converted, where the file type and rights format is supported by a DRM system that receives the DRM file. A device for DRM file conversion is provided in another embodiment of the present disclosure.

Abstract: Methods for enhancing hydrogen spillover and storage are disclosed. One embodiment of the method includes doping a hydrogen receptor with metal particles, and exposing the hydrogen receptor to ultrasonication as doping occurs. Another embodiment of the method includes doping a hydrogen receptor with metal particles, and exposing the doped hydrogen receptor to a plasma treatment.

Abstract: A composition for hydrogen storage includes a source of hydrogen atoms, a receptor, and a chemical bridge formed between the source and the receptor. The chemical bridge is formed from a precursor material. The receptor is adapted to receive hydrogen spillover from the source.

Abstract: A method for DRM file conversion is provided in an embodiment of the present disclosure, including: parsing a multipurpose Internet mail extensions (MIME) parameter in a rights type system of a DRM file to obtain file types and rights formats to which the DRM file can be converted; and converting, according to the file types and rights formats to which the DRM file can be converted, the DRM file into a file type and a rights format in the file types and rights formats to which the DRM file can be converted, where the file type and rights format is supported by a DRM system that receives the DRM file. A device for DRM file conversion is provided in another embodiment of the present disclosure.

Abstract: Methods for enhancing hydrogen spillover and storage are disclosed. One embodiment of the method includes doping a hydrogen receptor with metal particles, and exposing the hydrogen receptor to ultrasonication as doping occurs. Another embodiment of the method includes doping a hydrogen receptor with metal particles, and exposing the doped hydrogen receptor to a plasma treatment.

Abstract: A method of digital right backuping and recovery is disclosed, including: sending by User Equipment a digital right request message which includes request information of backupable and recoverable right to a provider server; sending by the provider server a backupable and recoverable digital right which is requested by the User Equipment to the User Equipment; confirming a digital right state by the User Equipment and the provider server; and sending by the provider server a backuped or recovered digital right to the User Equipment according to the digital right state when the User Equipment requests to backup or recover the digital right.

Abstract: A composition for hydrogen storage includes a source of hydrogen atoms, a receptor, and a chemical bridge formed between the source and the receptor. The chemical bridge is formed from a precursor material. The receptor is adapted to receive hydrogen spillover from the source.