Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: Facilitation of determination of detailed location of a source signal is provided. In one embodiment, a device comprises a memory that stores computer executable components; and a processor that executes computer executable components stored in the memory. The computer executable components can comprise: a low-resolution computation logic component that implements a coarse algorithm and determines an approximate direction of arrival (DOA) of a source signal of an input signal, wherein the coarse algorithm uses both a coarse spatial grid and input data received from the input signal to determine the approximate DOA; and an error estimation logic component that estimates an estimation error of the coarse algorithm, and wherein the error estimation logic component uses the estimation error and the approximate DOA to determine a spatial interval range.

Abstract: A computer implemented method, computer system and computer program product are provided for acoustic event detection in polyphonic acoustic data, according to the method, polyphonic acoustic data is inputted by one or more processing units into a trained neural network trained by labeled monophonic acoustic data, a first output from a hidden layer of the trained neural network is obtained by one or more processing units, and at least one acoustic classification of the polyphonic acoustic data is determined by one or more processing units based on the first output and a feature dictionary learnt from the trained neural network.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: A method, system, and computer product for anomaly detection in a sensor network. The method comprises: receiving measurements from a plurality of sensors in the sensor network. The method further comprises performing a graph Fourier transform on the measurements to obtain a spectrum. The graph Fourier transform is defined by a graph structure generated from the plurality of sensors. The method further comprises generating an anomaly alert in response to high frequency components of the spectrum exceeding a first threshold.

Abstract: Techniques for parsing a message comprising at least one data field are provided. One computer-implemented method comprises: determining, by an electronic device operatively coupled to a processing unit, a first model from a first category of data processing models; and determining, by the electronic device, a second model from a second category of data processing models, the second category being different from the first category. The computer-implemented method also comprises comparing, by the electronic device, performance of a first combined model of first and second models with performance of the first model; and selecting, by the electronic device, a target model for processing data from the first combined model and the first model based on the comparing.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: A method, computer system, and a computer program product for adaptively selecting an acoustic feature extractor in an Artificial Intelligence system is provided. The present invention may include acquiring a frame of an acoustic signal. The present invention may include checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected. The present invention may include processing the frame of the acoustic signal by the selected acoustic feature extractor indicated by the checked status. The present invention may include determining, based on data generated in the processing of the frame of the acoustic signal, an actual status of the frame of the acoustic signal. The present invention may include updating the status of the flag according to the actual status.

Abstract: A method, system, and computer product for anomaly detection in a sensor network. The method comprises: receiving measurements from a plurality of sensors in the sensor network. The method further comprises performing a graph Fourier transform on the measurements to obtain a spectrum. The graph Fourier transform is defined by a graph structure generated from the plurality of sensors. The method further comprises generating an anomaly alert in response to high frequency components of the spectrum exceeding a first threshold.

Abstract: A computer implemented method, computer system and computer program product are provided for acoustic event detection in polyphonic acoustic data, according to the method, polyphonic acoustic data is inputted by one or more processing units into a trained neural network trained by labeled monophonic acoustic data, a first output from a hidden layer of the trained neural network is obtained by one or more processing units, and at least one acoustic classification of the polyphonic acoustic data is determined by one or more processing units based on the first output and a feature dictionary learnt from the trained neural network.

Abstract: Facilitation of determination of detailed location of a source signal is provided. In one embodiment, a device comprises a memory that stores computer executable components; and a processor that executes computer executable components stored in the memory. The computer executable components can comprise: a low-resolution computation logic component that implements a coarse algorithm and determines an approximate direction of arrival (DOA) of a source signal of an input signal, wherein the coarse algorithm uses both a coarse spatial grid and input data received from the input signal to determine the approximate DOA; and an error estimation logic component that estimates an estimation error of the coarse algorithm, and wherein the error estimation logic component uses the estimation error and the approximate DOA to determine a spatial interval range.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: Embodiments of the present disclosure relate to a new approach used for adaptively selecting an acoustic feature extractor used in an Artificial Intelligence system. The method comprises: acquiring a frame of acoustic signal; checking a status of a flag to be used to indicate a proper acoustic feature extractor to be selected, the first status of the flag indicates a low-cost feature extractor associated with quasi-stationary acoustic signal, the second status of the flag indicates a high-cost feature extractor associated with non-stationary acoustic signal; processing the frame of acoustic signal by the selected acoustic feature extractor indicated by the checked status; determining, based on data generated in the processing of the frame of acoustic signal, an actual status of the frame of acoustic signal; and updating the status of the flag according to the actual status.

Abstract: Techniques for parsing a message comprising at least one data field are provided. One computer-implemented method comprises: determining, by an electronic device operatively coupled to a processing unit, a first model from a first category of data processing models; and determining, by the electronic device, a second model from a second category of data processing models, the second category being different from the first category. The computer-implemented method also comprises comparing, by the electronic device, performance of a first combined model of first and second models with performance of the first model; and selecting, by the electronic device, a target model for processing data from the first combined model and the first model based on the comparing.

Abstract: Business application logic corresponding to a business is generated according to requirements of the business. The business application logic includes Web services and Widgets. The Widgets in the business application logic are mashed up to create a Widget mashup application. An adaptation relationship is established between the Web services and the Widgets in the Widget mashup application. An executable business process is generated for the business based on the business application logic and the adaptation relationship. An executable mashup Widget application is generated based on the Widget mashup application and the adaptation relationship.

Abstract: Subscription management for resource content is disclosed. A subscriber device selects an event topic based on an event topic list. The subscriber device creates a topic path for the selected event topic to receiving a notification event related to the selected event topic. The subscriber device sends path information of the created topic path as part of identification information of the subscriber device, along with the selected event topic, to a resource content publishing device, and the topic path indicates a document. The subscriber device receives the notification event sent by the resource content publishing device to the subscriber device according to the identification information of the subscriber device, wherein at least one field of the document indicates the receipt of the notification event.

Abstract: Subscription management for resource content is disclosed. A subscriber device selects an event topic based on an event topic list. The subscriber device creates a topic path for the selected event topic to receiving a notification event related to the selected event topic. The subscriber device sends path information of the created topic path as part of identification information of the subscriber device, along with the selected event topic, to a resource content publishing device, and the topic path indicates a document. The subscriber device receives the notification event sent by the resource content publishing device to the subscriber device according to the identification information of the subscriber device, wherein at least one field of the document indicates the receipt of the notification event.

Abstract: Business application logic corresponding to a business is generated according to requirements of the business. The business application logic includes Web services and Widgets. The Widgets in the business application logic are mashed up to create a Widget mashup application. An adaptation relationship is established between the Web services and the Widgets in the Widget mashup application. An executable business process is generated for the business based on the business application logic and the adaptation relationship. An executable mashup Widget application is generated based on the Widget mashup application and the adaptation relationship.