Abstract: Method of analysis text message syntactically and by content, which entails: step 1; Split syntaxes (made available to subscribers by the network operator) into tokens to store in a Syntax Trie; step 2. Pre-process an incoming text from a subscriber; step 3. Split the text (pre-processed in Step 2) into tokens; step 4. Look up paths that include the tokens (obtained in Step 3) in the Syntax Trie (initialized in Step 1); step 5: Return the look-up result, which is the path in the Syntax Trie that best reflects the user intent.

Abstract: This invention relates to a thermally insulating substrate product comprising: a substrate having at least one layer and comprising metallic particles having an average particle size and density selected to block or reflect infrared radiation and aerogel particles having an average pore size and density selected to control conducted and convected thermal energy. The thermally insulating substrate can made as textile and/or film coatings that are light and thin and adapts to external environment conditions for better camouflage as well as improved heat insulation for energy conservation and thermal regulation.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: The present invention provides a noise modeling method to improve the speech recognition quality to help the recognition system perform better in real-life environments. With this method, we not only add noise to the training audio signal to simulate different environments, but we also add noise labels to the speech transcripts. Since then, the recognition model will perform better in different environments and increase the accuracy of the recognition model.

Abstract: A method for searching deep neural network architecture for computation offloading in a computing environment is provided.

Abstract: The present invention provides a method for speech separation and recognition. The present invention overcomes the disadvantages of the existing techniques by providing automatic speech recognition and separation that helps managers see what their service agents and customers are saying. From there, quickly and objectively knowing the wishes and concerns of customers as well as whether their service agents can give accurate and correct advice. In addition, the system is constantly updated based on the semi-supervised training mechanism, which means that the system can self-learn from actual data during operation, thereby helping to improve the system's accuracy.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: A coated metallic substrate is provided, including, at least; one layer of oxides, such layer being directly topped by an intermediate coating layer comprising Fe, Ni, Cr and Ti wherein the amount of Ti is above or equal to 5 wt. % and wherein the following equation is satisfied: 8 wt. %<Cr+Ti<40 wt. %, the balance being Fe and Ni, such intermediate coating layer being directly topped by a coating layer being an anticorrosion metallic coating.

Abstract: A device for securing at least one object that is disposed on a load surface of a vehicle is provided. The device having at least one securing element which by external power is adjustable at least from a loading position to a securing position, wherein in the loading position at least one object can be disposed on the load surface, and the at least one object in the securing position by way of the securing element is held in a location on the load surface in that the securing element in the securing position is in contact with the at least one object and a force that acts in the direction of the load surface is applied to the securing element in the securing position.

Abstract: A coated metallic substrate is provided, including, at least; one layer of oxides, such layer being directly topped by an intermediate coating layer comprising Fe, Ni, Cr and Ti wherein the amount of Ti is above or equal to 5 wt. % and wherein the following equation is satisfied: 8 wt. %<Cr+Ti<40 wt. %, the balance being Fe and Ni, such intermediate coating layer being directly topped by a coating layer being an anticorrosion metallic coating.

Abstract: Certain aspects involve a machine-learning query system that uses a dual deep learning network to service queries and other requests. In one example, a machine-learning query system services a query received from a client computing system. A dual deep learning network included in the machine-learning query system matches an unstructured input data object, received from the client computing system, to an unstructured reference data object. The matching may include generating an input feature vector by an embedding subnetwork, based on the unstructured input data object. The matching may also include generating an output probability by a relationship subnetwork, based on the input feature vector and a relationship feature vector that is based on the unstructured reference data object. The machine-learning query system may transmit a responsive message to the client system.

Abstract: A device for securing at least one object that is disposed on a load surface of a vehicle is provided. Said device having at least one securing element which by external power is adjustable at least from a loading position to a securing position, wherein in the loading position at least one object can be disposed on the load surface, and the at least one object in the securing position by way of the securing element is held in a location on the load surface in that the securing element in the securing position is in contact with the at least one object and a force that acts in the direction of the load surface is applied to the securing element in the securing position.

Abstract: Apparatus for spectroscopic analysis which includes a tunable diode laser spectrometer having a digital output signal and a digital computer for receiving the digital output signal from the spectrometer, the digital computer programmed to process the digital output signal using a multivariate regression algorithm. In addition, a spectroscopic method of analysis using such apparatus. Finally, a method for controlling an ethylene cracker hydrogenator.

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).

Abstract: An electrical component includes an inkjet-printed graphene electrode. Graphene oxide flakes are deposited on a substrate in a graphene oxide ink using an inkjet printer. The deposited graphene oxide is thermally reduced to graphene. The electrical properties of the electrode are comparable to those of electrodes made using activated carbon, carbon nanotubes or graphene made by other methods. The electrical properties of the graphene electrodes may be tailored by adding nanoparticles of other materials to the ink to serve as conductivity enhancers, spacers, or to confer pseudocapacitance. Inkjet-printing can be used to make graphene electrodes of a desired thickness in preselected patterns. Inkjet printing can be used to make highly-transparent graphene electrodes. Inkjet-printed graphene electrodes may be used to fabricate double-layer capacitors that store energy by nanoscale charge separation at the electrode-electrolyte interface (i.e., “supercapacitors”).