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.

Abstract: Typical frequently-asked question (FAQ) systems perform keyword searches on queries to a database of answers to deliver an answer to a user. The present invention searches a user generated query in a classifier trained to search a database of questions in a set of FAQs. The questions in the database correspond to answers. Upon finding a relevant question, the system returns the corresponding answer to the user. Searching the query against the questions generates more accurate results for the user.

Abstract: In FAQ based systems, associating questions with answers can be a time consuming task if performed manually. In one embodiment, a method of building a frequently-asked questions (FAQ) portal can include creating cluster labels. The labels can include predefined universal semantic labels and application-specific labels. The method can further include applying the cluster labels to clusters of queries within an FAQ application. The method can additionally include adjusting the application-specific labels to support combined and newly created clusters of queries based on application-specific queries within the FAQ application on an ongoing basis and reapplying the universal semantic labels and the adjusted application-specific labels to the combined and newly created clusters of queries. The method and system proposed herein allow for the automated clustering of queries and association with applicable answers, which leads to higher efficiencies for a faster response time for a user.

Abstract: A frequently-asked-question (FAQ)-based system receives question(s) from a user and generates answer(s) based on data about the question(s). In one embodiment, a method includes retrieving, from a memory, a global structure and candidate answers therein. The method can include computing a first, second, and third probability of a candidate answer based on a local structure of the candidate answer within the global structure, content of the candidate answer given content of a query and context of the candidate answer given the content of the query, respectively. The method can include providing a combined probability of the candidate answer based on the first probability, second probability, and third probability. The method can improve efficiency of a FAQ-based system by automating organization of semi-structured data in a database. Therefore, a human user does not need to manually generate the database when it is already generated in semi-structured form, a semi-structured HTML document.

Abstract: According to example configurations, a speech-processing system parses an uttered sentence into segments. The speech-processing system translates each of the segments in the uttered sentence into candidate textual expressions (i.e., phrases of one or more words) in a first language. The uttered sentence can include multiple phrases or candidate textual expressions. Additionally, the speech-processing system translates each of the candidate textual expressions into candidate textual phrases in a second language. Based at least in part on a product of confidence values associated with the candidate textual expressions in the first language and confidence values associated with the candidate textual phrases in the second language, the speech-processing system produces a confidence metric for each of the candidate textual phrases in the second language.

Abstract: In FAQ based systems, associating questions with answers can be a time consuming task if performed manually. In one embodiment, a method of building a frequently-asked questions (FAQ) portal can include creating cluster labels. The labels can include predefined universal semantic labels and application-specific labels. The method can further include applying the cluster labels to clusters of queries within an FAQ application. The method can additionally include adjusting the application-specific labels to support combined and newly created clusters of queries based on application-specific queries within the FAQ application on an ongoing basis and reapplying the universal semantic labels and the adjusted application-specific labels to the combined and newly created clusters of queries. The method and system proposed herein allow for the automated clustering of queries and association with applicable answers, which leads to higher efficiencies for a faster response time for a user.

Abstract: Techniques disclosed herein include systems and methods for creating a bootstrap call router for other languages by using selected N-best translations. Techniques include using N-best translations from a machine translation system so as to increase a possibility that desired keywords in a target language are covered in the machine translation output. A 1-best translation is added to a new text corpus. This is followed by selecting a subset that provides a varied set of translations for a given source transcribed utterance for better translation coverage. Additional translations are added to the new text corpus based on a measure of possible translations having words not yet seen for the selected transcribed utterances, and also based on possible translation having words that are not associated with very many or semantic tags in the new text corpus. Candidate translations can be selected from a window of N-best translations calculated based on machine translation accuracy.

Abstract: A laser liquid level detection device is provided with linear optical magnification of a curved minor. The device includes a laser device, a CCD detecting device having a curved mirror and a CCD sensor and signal processing devices disposed in the laser device and the CCD detecting device. The laser device emits a laser beam to a surface level of a liquid, which reflects the beam to the CCD detecting device, and the curved mirror directs the reflected beam onto the CCD sensor. The shape of the curved mirror is determined by a polynomial curve function so as to linearly magnify a change in a height of the surface when the bounced beam reaches the CCD sensor. The liquid level detection device enables the position of the surface level of the liquid to be detectable in real time with high accuracy.

Abstract: A frequently-asked-question (FAQ)-based system receives question(s) from a user and generates answer(s) based on data about the question(s). In one embodiment, a method includes retrieving, from a memory, a global structure and candidate answers therein. The method can include computing a first, second, and third probability of a candidate answer based on a local structure of the candidate answer within the global structure, content of the candidate answer given content of a query and context of the candidate answer given the content of the query, respectively. The method can include providing a combined probability of the candidate answer based on the first probability, second probability, and third probability. The method can improve efficiency of a FAQ-based system by automating organization of semi-structured data in a database. Therefore, a human user does not need to manually generate the database when it is already generated in semi-structured form, a semi-structured HTML document.