Abstract: Techniques are provided for utilizing reference signals transmitted by network stations to determine the orientation of a wireless node. An example method for determining an orientation of a user equipment includes determining a first location associated with the user equipment, determining a second location associated with a first wireless node, receiving, with the user equipment, a radio frequency signal transmitted from the first wireless node, determining two measurements based at least in part on the first location, the second location, and angle of arrival information associated with the radio frequency signal, determining a gravity vector based on inertial measurements obtained with the user equipment, and computing the orientation of the user equipment based at least in part on the gravity vector and the two measurements.

Abstract: A method, a device, a computer readable medium and an electronic apparatus for speech signal processing are disclosed. The method comprises: acquiring sound source position information and at least two channels of sound signals from a microphone array; suppressing, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a noise reference signal of the microphone array; acquiring, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a speech reference signal; removing, based on the noise reference signal, a residual noise signal in the speech reference signal to obtain a desired speech signal.

Abstract: The present disclosure provides anti-PD-1 antibodies or antigen binding fragments thereof, compositions comprising the antibodies or antigen binding fragments thereof, and methods of treating cancer or viral infection with the antibodies or antigen binding fragments thereof.

Abstract: The disclosure relates to identifying a user intent of a statement. When a user intent of a to-be-analyzed statement needs to be determined, at least one historical statement of the to-be-analyzed statement can be determined from an human-computer interaction session. A historical vector determined with reference to a statement vector of the to-be-analyzed statement and a statement vector of the at least one historical statement may comprise related content in the historical statement, and the content may be associated with the content of the to-be-analyzed statement. If the user intent of the to-be-analyzed statement is determined with reference to the historical vector, then the content related to the to-be-analyzed statement comprised in the historical vector may be used as an additional determination reference, so that the accuracy of determining the user intent of the to-be-analyzed statement can be improved.

Abstract: A method, a device, a computer readable medium and an electronic apparatus for speech signal processing are disclosed. The method comprises: acquiring sound source position information and at least two channels of sound signals from a microphone array; suppressing, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a noise reference signal of the microphone array; acquiring, according to the sound source position information, a sound signal from the sound source direction in the at least two channels of sound signals, to obtain a speech reference signal; removing, based on the noise reference signal, a residual noise signal in the speech reference signal to obtain a desired speech signal.

Abstract: Disclosed are a method and an apparatus for blind signal separation and an electronic device. The method includes modeling a sound source with a complex Gaussian distribution to determine a probability density distribution of the sound source; updating a blind signal separation model based on the probability density distribution; and separating an audio signal with the updated blind signal separation model to obtain a plurality of separated output signals. In this way, the blind signal separation model may be updated through the probability density distribution of the sound source obtained based on the complex Gaussian distribution, thereby effectively improving separation performance of a blind signal separation algorithm in specific scenario.

Abstract: Disclosed in the embodiments of the disclosure are methods and apparatuses for grouping web page labels. The method comprises: extracting titles of a plurality of web page labels in a tab bar of a browser; calculating semantic distances between the extracted plurality of titles; clustering web page labels corresponding to the plurality of titles based on the semantic distances between the plurality of titles; obtaining at least one label group based on the clustering, the one label group comprising at least one web page label; and sequentially arranging the at least one label group in the tab bar, the web page labels belonging to the same label group being successively arranged in the tab bar. After grouping, the web page labels are still presented in the format of web page labels in the tab bar and a web page label can be selected with a single click.

Abstract: A method for identifying a user intent of a statement is disclosed in embodiments of the disclosure. The method comprises that when a user intent of a to-be-analyzed statement needs to be determined, at least one historical statement of the to-be-analyzed statement can be determined from an HCI session where the to-be-analyzed statement is located. The HCI generally has certain continuity, and therefore, the content of the historical statement in the HCI session may be related to the content of the to-be-analyzed statement. A historical vector determined with reference to a statement vector of the to-be-analyzed statement and a statement vector of the at least one historical statement may comprise related content in the historical statement, and the content may be associated with the content of the to-be-analyzed statement to a certain extent.

Abstract: Disclosed are a method and an apparatus for blind signal separation and an electronic device. The method includes modeling a sound source with a complex Gaussian distribution to determine a probability density distribution of the sound source; updating a blind signal separation model based on the probability density distribution; and separating an audio signal with the updated blind signal separation model to obtain a plurality of separated output signals. In this way, the blind signal separation model may be updated through the probability density distribution of the sound source obtained based on the complex Gaussian distribution, thereby effectively improving separation performance of a blind signal separation algorithm in specific scenario.

Abstract: Embodiments of the disclosure provide methods and apparatuses for evaluating nodes of a funnel model. The method may include: acquiring browsing records of users, the browsing records including browsing paths of the users; and performing real-time evaluation on the nodes of the funnel model according to the acquired browsing paths of the users, wherein the acquired browsing paths are stored offline.

Abstract: A method, system and apparatus for detecting fraudulent promotion of a software application, the method including acquiring comment information associated with a software application, the comment information including one or more comments; calculating an average similarity or average information entropy of the comment information, wherein the average similarity is calculated based on a similarity between the one or more comments and wherein the average information entropy is calculated based on an information gain between the one or more comments; defining a determination threshold range for a category associated with the software application, wherein the determination threshold range is defined by a plurality of probability statistical distribution parameters based on average similarities or average information entropies of other applications associated with the category; and identifying the software application as fraudulent if the average similarity or average information entropy of the comment information

Abstract: A service processing method, a data processing method, and apparatuses thereof are provided. The service processing method includes determining a target resource category to which a network resource to be processed belongs; acquiring target news information that matches the target resource category; and performing service processing on the network resource to be processed according to the target news information. The present disclosure provides a new service processing method, which can improve the quality of service processing and enrich ways of service processing.

Abstract: Disclosed in the embodiments of the disclosure are methods and apparatuses for grouping web page labels. The method comprises: extracting titles of a plurality of web page labels in a tab bar of a browser; calculating semantic distances between the extracted plurality of titles; clustering web page labels corresponding to the plurality of titles based on the semantic distances between the plurality of titles; obtaining at least one label group based on the clustering, the one label group comprising at least one web page label; and sequentially arranging the at least one label group in the tab bar, the web page labels belonging to the same label group being successively arranged in the tab bar. After grouping, the web page labels are still presented in the format of web page labels in the tab bar and a web page label can be selected with a single click.

Abstract: The invention provides a loudspeaker nonlinear compensation method. The method includes steps: obtaining system parameter of the loudspeaker, the No. i time-domain excitation voltage signal and the No. i state vector of the loudspeaker; compensating the No. i time-domain excitation voltage signal according to the system parameter and the No. i state vector and obtain i compensation voltage signal; obtaining the No. i+1 state vector according to the calculation of the system parameter and the No. i compensation voltage signal; outputting the No. i compensation voltage signal and record the quantity of the compensation voltage signal; judging whether the quantity of the compensation voltage signal is equal to the preset number value.

Abstract: The present invention discloses a software/hardware device with uncertain service function and structural characterization and a method for scheduling the same. The device comprises a policy generator, a scheduler and a plurality of heterogeneous functional equivalents with equivalent functions, wherein, the policy generator is configured for providing a scheduling policy for the heterogeneous functional equivalents to the scheduler; the scheduler is configured for receiving an external service request, determining heterogeneous functional equivalents that provide a service to the external service request according to the scheduling policy given by the policy generator, assigning the service request to the determined heterogeneous functional equivalents, and outputting a service response which has an uncertain relation with uncertain structural characterization according to a feedback and the scheduling policy given by the policy generator.

Abstract: The invention provides a loudspeaker nonlinear compensation method. The method includes steps: obtaining system parameter of the loudspeaker, the No. i time-domain excitation voltage signal and the No. i state vector of the loudspeaker; compensating the No. i time-domain excitation voltage signal according to the system parameter and the No. i state vector and obtain i compensation voltage signal; obtaining the No. i+1 state vector according to the calculation of the system parameter and the No. i compensation voltage signal; outputting the No. i compensation voltage signal and record the quantity of the compensation voltage signal; judging whether the quantity of the compensation voltage signal is equal to the preset number value.

Abstract: An identification method of nonlinear system of loudspeaker includes the following steps: providing an amplified pumping signal to the loudspeaker; measuring a voltage signal and a current signal; obtaining linear parameters of the loudspeaker system; obtaining the nonlinear parameters of the loudspeaker system: inputting the measured current signal into a lumped parameter model of the loudspeaker system to calculate the estimated voltage signal; comparing the estimated voltage signal with the measured voltage signal to calculate a voltage error signal between the two; conducting decoherence with the voltage error signal to get rid of a linear component of the voltage error signal, obtaining then, according to the voltage error signal after decoherence, the nonlinear parameters by using an adaptive iterative algorithm.

Abstract: A method, system and apparatus for detecting fraudulent promotion of a software application, the method including acquiring comment information associated with a software application, the comment information including one or more comments; calculating an average similarity or average information entropy of the comment information, wherein the average similarity is calculated based on a similarity between the one or more comments and wherein the average information entropy is calculated based on an information gain between the one or more comments; defining a determination threshold range for a category associated with the software application, wherein the determination threshold range is defined by a plurality of probability statistical distribution parameters based on average similarities or average information entropies of other applications associated with the category; and identifying the software application as fraudulent if the average similarity or average information entropy of the comment information

Abstract: The present invention discloses a software/hardware device with uncertain service function and structural characterization and a method for scheduling the same. The device comprises a policy generator, a scheduler and a plurality of heterogeneous functional equivalents with equivalent functions, wherein, the policy generator is configured for providing a scheduling policy for the heterogeneous functional equivalents to the scheduler; the scheduler is configured for receiving an external service request, determining heterogeneous functional equivalents that provide a service to the external service request according to the scheduling policy given by the policy generator, assigning the service request to the determined heterogeneous functional equivalents, and outputting a service response which has an uncertain relation with uncertain structural characterization according to a feedback and the scheduling policy given by the policy generator.

Abstract: A method and a device for establishing an information communication network system structure, as well as a server and a router. The method includes the steps of after establishing an initial service route, utilizing the server to periodically acquire current network resource configuration information and flow rate state information transmitted by each router node, and generating network resource view and network flow rate view; utilizing the server to acquire current real transmission performance of the initial service route according to the network resource view and the network flow rate view; including current real transmission performance and current business transmission requirement, and generating a reconstruction order when current real transmission performance does not match current business transmission requirement.