Abstract: A method, computer program product, and computer system for predicting responses to at least one conversational phrase. At least one conversational phrase may be received. A first probability for a subset of candidate responses of a plurality of candidate responses may be determined based upon, at least in part, context associated with the at least one conversational phrase, the at least one conversational phrase, and each context associated with the plurality of candidate responses. A second probability for the subset of candidate responses may be determined based upon, at least in part, the subset of candidate responses, the at least one conversational phrase, and the context associated with the at least one conversational phrase. At least one candidate response for the at least one conversational phrase may be determined based upon, at least in part, the first probability and the second probability.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a model for predicting conversational phrases for a communication between at least a first user and a second user. The model may be trained based upon, at least in part, an attribute associated with the second user. At least one conversational phrase may be predicted for the communication between the first user and the second user. The at least one conversational phrase may be provided to the second user as an optional phrase to be sent to the first user.

Abstract: Disclosed is a method and an apparatus for recognizing speech, and the method comprises: separating an input audio signal into at least two separated signals; generating a denoised signal at a current frame; performing a preliminary recognition on each interesting signal at the current frame; and performing a recognition decision according to a recognition score of each interesting signal at the current frame. The method and apparatus of the present disclosure deeply integrate an array signal processing and a speech recognition and use multiway recognitions such that a good recognition rate may be obtained even in a case of a low signal-to-noise ratio.

Abstract: A graphene adsorbing material, a preparation method therefor and application thereof, and a cigarette filter tip and a cigarette are provided. The graphene adsorbing material comprises a fiber carrier, graphene and doped elements wherein the graphene and the doped elements are loaded on the fiber carrier and the doped elements comprise at least one of Al, Si and Fe. The graphene adsorbing material is obtained by contacting the fibers with the graphene material to load the graphene material on the fibers. By introducing the graphene and the doped elements in the fiber carrier, harmful substances with a type of fused aromatic hydrocarbons such as benzopyrene in smoke can be specifically adsorbed, filtered and removed; while nicotine and the other harmless substances are retained, and thus the smoking taste of a cigarette is not affected.

Abstract: Graphene-containing latex. The latex contains a graphene structure and non-carbon, non-oxygen and non-hydrogen elements. The provided latex is enabled to have multiple performances such as far-infrared performance, antibacterial performance and bacteriostasis by selecting a specific carbon nanostructure compound and by means of collocation and combination of a graphene structure and elements such as Fe, Si and Al; and furthermore, higher far-infrared effect and antibacterial effect can be achieved by controlling a specific addition proportion. The experimental results prove that the far-infrared performance of the latex can reach a maximum value of 0.93, and the bacteriostasis can reach a maximum value of 99%.

Abstract: The present invention relates to a composite having a carbon nanostructure, comprising graphene, amorphous carbon and a non-carbon non-oxygen element, wherein the non-carbon non-oxygen element is in an amount of 0.5 wt %-6 wt % of the composite. The present invention discloses controlling the content of the non-carbon non-oxygen element in the composite to obtain excellent far-infrared effect and antibacterial and bacteriostatic effects, wherein the normal emissivity in the far-infrared performance reaches 0.85 or more, and the antibacterial rate reaches 95% or more. The composite having a carbon nanostructure of the present invention is applied to macromolecular materials to modify macromolecular materials under the circumstance that the addition amount is relatively low. The composite having a carbon nanostructure can achieve notable far-infrared performance and antibacterial and bactericidal performances without any pre-modification and activation treatment.

Abstract: A polyester material including a composite having a carbon nanostructure, which comprises carbon element, from 0.5 to 4 wt % of a first non-carbon non-oxygen element substance, and from 0 to 4 wt %, of a second non-carbon non-oxygen element. The first non-carbon non-oxygen element is selected from the group consisting of P, Si, Ca, Al and Na; the second non-carbon non-oxygen element is any one selected from the group consisting of Fe, Ni, Mn, K, Mg, Cr, S or Co, or a combination of at least two selected therefrom. The G peak and D peak of the carbon element in the Raman spectrum has a peak height ratio of 1-20 in the composite having a carbon nanostructure.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, a model for predicting conversational phrases for a communication between at least a first user and a second user. The model may be trained based upon, at least in part, an attribute associated with the second user. At least one conversational phrase may be predicted for the communication between the first user and the second user. The at least one conversational phrase may be provided to the second user as an optional phrase to be sent to the first user.

Abstract: Disclosed is a method and an apparatus for recognizing speech, and the method comprises: separating an input audio signal into at least two separated signals; generating a denoised signal at a current frame; performing a preliminary recognition on each interesting signal at the current frame; and performing a recognition decision according to a recognition score of each interesting signal at the current frame. The method and apparatus of the present disclosure deeply integrate an array signal processing and a speech recognition and use multiway recognitions such that a good recognition rate may be obtained even in a case of a low signal-to-noise ratio.

Abstract: The present invention relates to a polyurethane foam comprising graphene, wherein the polyurethane foam comprises graphene structure and a non-carbon non-oxygen non-hydrogen element. By choosing a specific composite having a carbon nanostructure, the present invention achieves compounding polyurethane via simply mixing with polyether polyol, and then polymerizing with polyisocyanate, omitting the step of compounding the composite having a carbon nanostructure, having a simple process and seamlessly connecting with existing equipment.

Abstract: The present invention relates to a polyurethane foam comprising graphene, wherein the polyurethane foam comprises graphene structure and a non-carbon non-oxygen non-hydrogen element. By choosing a specific composite having a carbon nanostructure, the present invention achieves compounding polyurethane via simply mixing with polyether polyol, and then polymerizing with polyisocyanate, omitting the step of compounding the composite having a carbon nanostructure, having a simple process and seamlessly connecting with existing equipment.

Abstract: A functional regenerated cellulose fiber includes a graphene structure and non-carbon non-oxygen elements. The non-carbon non-oxygen elements includes elements of Fe, Si, and Al. The elements of Fe, Si, and Al account for 0.018 wt % to 0.8 wt % of the regenerated cellulose fiber.

Abstract: Graphene-containing latex. The latex contains a graphene structure and non-carbon, non-oxygen and non-hydrogen elements. The provided latex is enabled to have multiple performances such as far-infrared performance, antibacterial performance and bacteriostasis by selecting a specific carbon nanostructure compound and by means of collocation and combination of a graphene structure and elements such as Fe, Si and Al; and furthermore, higher far-infrared effect and antibacterial effect can be achieved by controlling a specific addition proportion. The experimental results prove that the far-infrared performance of the latex can reach a maximum value of 0.93, and the bacteriostasis can reach a maximum value of 99%.

Abstract: The present invention relates to a composite having a carbon nanostructure, comprising graphene, amorphous carbon and a non-carbon non-oxygen element, wherein the non-carbon non-oxygen element is in an amount of 0.5 wt %-6 wt % of the composite. The present invention discloses controlling the content of the non-carbon non-oxygen element in the composite to obtain excellent far-infrared effect and antibacterial and bacteriostatic effects, wherein the normal emissivity in the far-infrared performance reaches 0.85 or more, and the antibacterial rate reaches 95% or more. The composite having a carbon nanostructure of the present invention is applied to macromolecular materials to modify macromolecular materials under the circumstance that the addition amount is relatively low. The composite having a carbon nanostructure can achieve notable far-infrared performance and antibacterial and bactericidal performances without any pre-modification and activation treatment.

Abstract: A graphene adsorbing material, a preparation method therefor and application thereof, and a cigarette filter tip and a cigarette are provided. The graphene adsorbing material comprises a fiber carrier, graphene and doped elements wherein the graphene and the doped elements are loaded on the fiber carrier and the doped elements comprise at least one of Al, Si and Fe. The graphene adsorbing material is obtained by contacting the fibers with the graphene material to load the graphene material on the fibers. By introducing the graphene and the doped elements in the fiber carrier, harmful substances with a type of fused aromatic hydrocarbons such as benzopyrene in smoke can be specifically adsorbed, filtered and removed; while nicotine and the other harmless substances are retained, and thus the smoking taste of a cigarette is not affected.

Abstract: A polyester material including a composite having a carbon nanostructure, which comprises carbon element, from 0.5 to 4 wt % of a first non-carbon non-oxygen element substance, and from 0 to 4 wt %, of a second non-carbon non-oxygen element. The first non-carbon non-oxygen element is selected from the group consisting of P, Si, Ca, Al and Na; the second non-carbon non-oxygen element is any one selected from the group consisting of Fe, Ni, Mn, K, Mg, Cr, S or Co, or a combination of at least two selected therefrom. The G peak and D peak of the carbon element in the Raman spectrum has a peak height ratio of 1-20 in the composite having a carbon nanostructure.

Abstract: Provided is a porous graphene preparation method, comprising: under the function of a catalyst, conducting catalytic treatment on a biomass carbon source to obtain a first intermediate product, the catalyst comprising one or more of chlorides of manganese, iron compounds, cobalt compounds and nickel compounds; under protective gas condition, heating the first intermediate product from a first temperature to a second temperature and holding to obtain a second intermediate product; heating the second intermediate product from the second temperature to a third temperature and holding to obtain a third intermediate product; heating the third intermediate product from the third temperature to a fourth temperature and holding to obtain a fourth intermediate product; and cooling the fourth intermediate product from the fourth temperature to a fifth temperature and holding to obtain porous graphene. The porous graphene prepared via the method of the present invention has better electrical conductivity.

Abstract: Provided is a porous graphene preparation method, comprising: under the function of a catalyst, conducting catalytic treatment on a biomass carbon source to obtain a first intermediate product, the catalyst comprising one or more of chlorides of manganese, iron compounds, cobalt compounds and nickel compounds; under protective gas condition, heating the first intermediate product from a first temperature to a second temperature and holding to obtain a second intermediate product; heating the second intermediate product from the second temperature to a third temperature and holding to obtain a third intermediate product; heating the third intermediate product from the third temperature to a fourth temperature and holding to obtain a fourth intermediate product; and cooling the fourth intermediate product from the fourth temperature to a fifth temperature and holding to obtain porous graphene. The porous graphene prepared via the method of the present invention has better electrical conductivity.

Abstract: Methods and apparatuses for wireless communication, and associated application systems and devices are disclosed. The method includes: negotiating, with an opposite terminal through a first communication mode, a communication parameter required by a second communication mode; establishing a connection in the second communication mode with the opposite terminal using the communication parameter; wherein the second communication mode is a wireless communication mode which requires the communication parameter to establish a connection, while the first communication mode is one different from the second communication mode.

Abstract: Various embodiments are described herein for a system and method for performing 3D reconstruction of an object. In at least one example embodiment, the method may comprise obtaining image data of the object while projecting frequency-based light patterns on the object; locating candidates for correspondence points in the image data; selecting reflection points by applying a labeling method to the located candidates; and generating the 3D reconstruction of a surface of the object using the selected reflection points.