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38 results about "Modal particle" patented technology

In linguistics, modal particles are always uninflected words, and are a type of grammatical particle. They are used to indicate how the speaker thinks that the content of the sentence relates to the participants' common knowledge or add mood to the meaning of the sentence. Languages that use many modal particles in their spoken form include Dutch, Danish, German, Hungarian, Russian, Telugu, Nepali, Indonesian, Chinese and Japanese. The translation is often not straightforward and depends on the context.

Lost Circulation Material With A Multi-Modal Large Particle Size Distribution

Compositions for lost circulation materials (LCM) and methods for using same in drilling and / or completing wellbores that help solve lost circulation problems in a wide range of fracture sizes, thereby advantageously eliminating the need for a variety of products for lost circulation in a field at any one time. An unexpected synergy and improved reduction in lost circulation is obtained. The invention provides specific LCM components in specific ratios that are analogs to lost circulation fractures and that yield superior performance in preventing or alleviating lost circulation in drilling and cementing boreholes. The invention compositions have a multi-modal particle size distribution (PSD) which provides a higher concentration of component materials in the same range of two or more fracture widths, thus allowing plugging to occur over a wider range than a single mode or narrow PSD.
Owner:HALLIBURTON ENERGY SERVICES INC

Method and device for providing voice service

The invention discloses a method and a device for providing a voice service. One embodiment of the method for providing the voice service comprises the steps that a voice input signal is acquired; a semantic recognition model trained by the adoption of a machine learning method is utilized to recognize mood and spoken content in the voice input signal, and corresponding mood input information andtext input information are obtained, wherein the mood input information is used for expressing a mood type of the voice input signal; and voice service data query is performed based on the mood inputinformation and the text input information, and voice response information is generated according to the query result. Through the embodiment, mood recognition not relying on a modal particle is realized, the intention of a speaker can be detected more accurately, and the precision of the voice service is improved.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Message input method and device

The invention relates to a message input method and device. The method comprises the following steps of receiving input voice messages; translating the voice messages into text messages; recognizing modal particles in the voice messages; acquiring expressions corresponding to the modal particles; adding the expressions into the text messages; outputting the text messages. According to the message input method and device, the received voice messages are translated into the text messages, the modal particles in the voice messages are recognized, and the expressions corresponding to the modal particles are acquired and added into the text messages, so that the accuracy of voice recognition is improved; the voice messages are output and displayed, and the method can be applied in scenes that a keyboard and a mouse are in use and operation, so that the convenience in message input is improved without influencing the operation of the keyboard and the mouse; the voice messages are recognized as the text messages, and the data volume is small, so that the requirement on network bandwidth is reduced, and the data traffic is saved.
Owner:TENCENT TECH CHENGDU

Multi-modal particle detector

Systems, methods and computer program products for the multi-modal detection of particles are described herein. An embodiment of the present invention is a particle detector that includes a first chamber wherein analyte particles are subjected to a first particle detection mechanism, and a second chamber coupled to the first chamber, wherein the analyte particles are subjected to a second particle detection mechanism, and wherein the detection characteristics of second particle detection mechanism are orthogonal to detection characteristics of the first particle detection mechanism. According to another embodiment, the present invention is a particle detection method including the steps of detecting presence of at least one predetermined particle type in an analyte particle sample using a first particle detection mechanism, and confirming the presence of the predetermined particle type in the analyte particle sample using a second particle detection mechanism, wherein detection characteristics of the second particle detection mechanism are orthogonal to detection characteristics of the first detection mechanism.
Owner:MITRE SPORTS INT LTD

Polyolefin Drag Reducing Agents Produced by Multiple Non-Cryogenic Grinding Stages

Fine particulate polymer drag reducing agents (DRAs) in bi-modal or multi-modal particle size distributions may be produced simply and efficiently without cryogenic temperatures. The grinding or pulverizing of polymer, e.g. non-porous poly(alpha-olefin) suitable for reducing drag in hydrocarbons may be achieved by the use of at least one liquid grinding aid and at least two grinding processors in series. The blades of the stators of the grinders are of different configuration so that granulated polymer fed to the first processor having relatively larger gaps between blades is ground to an intermediate size which is fed to the second processor having relatively smaller gaps between blades which grinds the polymer to a second, smaller size. A non-limiting example of a suitable liquid grinding aid includes a blend of propylene glycol, water and hexanol. Particulate DRA may be produced at a size of 300 microns or less in only two passes.
Owner:BAKER HUGHES INC

Method and system for realizing video and audio driven face animation by combining modal particle characteristics

ActiveCN112614212ASolve dull expressionSolve problems that tend to be neutralNatural language data processingAnimationModal particlePrediction algorithms
The invention discloses a method and system for realizing video and audio driven face animation by combining modal particle characteristics, and the method comprises the steps: constructing a voice feature matrix through the extraction of voice features, carrying out the sampling of the feature matrix through the multilayer convolution operation of a modal particle enhancement training network, and mapping the feature matrix to an intermediate variable of a low-dimensional space; converting the input voice into characters, identifying a mood word from the character content, constructing a onehot vector, and splicing the onehot vector with an intermediate variable to obtain an intermediate variable containing mood word features; carrying out the convolution through a modal particle enhancement training network, and then obtaining an expression AU parameter of a current frame through mapping, wherein the parameter is used for being fitted with an AU parameter generated by video tracking and voice prediction algorithms to serve as a driving parameter of a face model, so expression enhancement is realized. According to the invention, the three-dimensional Avatar model in the virtual scene can be jointly driven by inputting the video content of the face of the user and the audio content of the sound production of the user, and on the basis of real-time driving, the whole and local face animations are enabled to obtain more realistic and vivid expression effects.
Owner:SHANGHAI JIAO TONG UNIV

Chinese text feature extracting method with text mood fusion function

The invention discloses a Chinese text feature extracting method with a text mood fusion function. By means of the method, it is achieved that the text feature representation fusing mood features, syntax features and semanteme features is obtained in a lengthened text. The method comprises the steps that firstly, a text word set and a mood word set are constructed, the text word set and the mood word set are transformed into word embedding forms respectively, and corresponding vector models are obtained; secondly, according to the text word embedding represented time step dimensions and feature dimensions, text features are screened, the mood features are fused into the time step dimension of the selected text feature, and the text feature representation which accurately represents the semanteme is obtained. According to the method, the contributions of modal particles to the text semanteme are fully utilized to fuse the mood features, the syntax features and the semanteme features into the text feature representation, and the text feature representation is low in dimension and continuous so that the text semanteme can be better represented, and natural language processing tasks, such as text analysis, language translation and relation extraction, can be better effectively supported.
Owner:YUNNAN UNIV

Acrylic emulsion adhesive composition comprising nano sized latex particles having a mono-modal particle size distribution, and production method for same

The present invention relates to an acrylic emulsion adhesive composition which comprises latex particles wherein 3 or more different types of anionic emulsifiers cover polymer fine particles comprising (A) a main momoner consisting of a (meth)acrylic acid ester monomer having a C1-C14 alkyl group, (B) an auxiliary monomer consisting of one or more monomer selected from the group consisting of monomers comprising an alkyl ester, a vinyl ester, an unsaturated ester group or a mixture thereof and a cyano group, monomers comprising an amine group, and styrene-based monomers having a vinyl group,(C) a functional monomer consisting of a monomer having a carboxyl group and / or hydroxyl group, and (D) a crosslinking agent; and the composition has an outstandingly stable high-solids fraction in which the latex particles have a nano-sized mean particle size and monomodal form of particle size distribution. The present invention also relates to a production method for the acrylic emulsion adhesive composition.
Owner:LG CHEM LTD

A method and system for semantic recognition

The invention belongs to the field of semantic recognition and discloses a semantic recognition method and a system. Acquiring speech information to be recognized; inputting the speech information tobe recognized into the recognition model, removing the non-keywords and repetitive contents that do not affect the semantics in the speech information to be recognized, and generating the target speech; the target speech is semantically understood and the result of semantic recognition is obtained. The invention filters non-keywords such as modal particles and repetitive contents in the speech information to be recognized by the recognition model, solves the problem that too much redundant information in user sentences leads to semantic understanding errors, so as to improve the accuracy of semantic recognition, in order to more accurately understand the true intentions of users, better serve users, improve the user experience.
Owner:GUANGDONG XIAOTIANCAI TECH CO LTD

Low-strain-rate modified zircon material and articles

InactiveCN102036934AReduce creep rateCreep rate improvementGlass forming apparatusModal particleRefractory
A modified zircon-based refractory material comprising TiO2 and Y2O3 having a density in certain embodiments higher than 4.00 g cm-3, and method of making such zircon materials. The process involves the use of zircon particles having a multi-modal particle distribution curve in making the green body. The material exhibits an improved performance in creep rate. The invention is particularly useful for making zircon-based isopipes for fusion down-draw forming of glass sheet materials.
Owner:CORNING INC

Intelligent advertisement identifying method

The invention discloses an intelligent advertisement identifying method and especially relates to a solving method for identifying an advertisement from mass information. The method comprises the following steps: establishing a word stock and a disabled word stock, wherein the disabled word stock contains some adverbs and modal particles with higher probability of occurrence; selecting some samples including the advertisement and common information; respectively extracting the characteristics of the advertisement and common information; calculating two-classified characteristic probability according to the bayesian algorithm and generating a model; continuously optimizing the model during a use process, thereby increasing the judging accuracy and recall rate of the model for the advertisement; if the probability of the judged advertisement is higher than the information probability, judging the information as the advertisement.
Owner:SHENZHEN INVENO TECH

Digital building presentation system based on voice interaction

The invention discloses a digital building presentation system based on voice interaction, which comprises a voice feature extraction module, a voice model and mode matching module, and a control module, wherein the voice feature extraction module extracts a voice feature sequence changing over time from a voice waveform; the voice model and mode matching module matches and compares unknown voice features with the voice models in the case of recognition, the distance between a feature vector sequence of the unknown voice and each sound production module is calculated, and syntax and semantic analysis is carried out on a recognition result; and the control module performs corresponding house type presentation control on a computer system according to a result outputted by the voice model and mode matching module. According to the digital building presentation system based on voice interaction, environmental adaptability is strong, the recognition rate is high, modal particles in the case of continuous voice recognition can be removed, control on building presentation can be carried out, and the full view of the building can be presented in real time through voice interaction.
Owner:SUZHOU MAIN GOAL SOFTWARE TECH CO LTD

Broadcast signal prejudging and preprocessing method

The invention discloses a broadcast signal prejudging and preprocessing method. The method includes the steps that a speech segment is intercepted, and the segment with the speech and the segment without the speech are separated; a speech time domain sequence containing the segment with the speech is subjected to framing and sliding window adding to obtain a speech time domain sequence, the additive noise is removed, and a speech time domain sequence after additive noise removal is obtained; the speech time domain sequence is filtered to obtain a speech time domain sequence after impulse noise removal; a recirculating network neural model is established, the segment with the speech after impulse noise removal is screened, and a first speech segment containing standard Chinese speeches only and a second speech segment containing both the standard Chinese speeches and the background music are screened out; and the background music of the second speech segment is separated from the standard Chinese speeches. A pure broadcast recording file for eliminating the current noise, the ambient sound, speaker modal particle and the background music is obtained, thus the accuracy of results obtained by keyword recognition is improved, and the mis-recognition rate is decreased.
Owner:SICHUAN UNIV +1

Abrasive compacts

An abrasive compact having at least a tri-modal particle size distribution, and a binder phase, define a plurality of interstices. The binder phase is distributed in the interstices to form binder pools that correspond substantially in average size to that of an ultrahard polycrystalline composite material having a monomodal particle size distribution and substantially the same overall average particle grain size.
Owner:ELEMENT SIX TRADE MARKS LTD +1

Emotion audio determining method, emotion display method, method for converting text into voice, and related devices

ActiveCN110189742AImprove performanceAnthropomorphic emotional experienceSpeech synthesisPattern recognitionModal particle
The embodiments of the invention provide an emotion audio determining method, an emotion display method, a method for converting text into voice, and related devices. The emotion audio determining method comprises the steps that to-be-processed emotion data are obtained; emotion dimensions and emoticons are determined; from the to-be-processed emotion data, corresponding emotion feature words andemotion modal particles corresponding to the emotion feature words are determined specific to all the emotion dimensions; the emotion feature words and / or the emotion modal particles are mapped with the corresponding emoticons, and the corresponding relationship between the emotion feature words and / or the emotion modal particles and the emoticons is formed; and based on the corresponding relationship, matched audio is configured for the emoticons, wherein the audio is pronunciations of the emoticons or sound effects consistent with ideographical expressions of the emoticons. Through the emotion audio determining method, the technical problem of how to enable data emotional expression to be attached to actual emotional communication is solved, the expression effect of the emoticons is improved, and the more personific and more natural emotional experience is realized.
Owner:YUTOU TECH HANGZHOU

Method and Apparatus for Broadcasting a Response Based on Artificial Intelligence, and Storage Medium

The present disclosure provides a method and apparatus for broadcasting a response based on artificial intelligence, and a storage medium, wherein the method comprises: obtaining a user-input speech query; generating a response corresponding to the query; obtaining a recorded speech of a mood meaning corresponding to a modal particle in the response and matched with the response; combining the obtained recorded speech with a TTS-generated speech to perform TTS broadcast of the response. The solution of the present disclosure may be applied to enhance an effect of broadcasting the response.
Owner:BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD

Bi-or multi-modal particle size distribution to improve dragreduction polymer dissolution

Drag reduction of hydrocarbon fluids flowing through pipelines of various lengths is improved by polyolefin drag reducer dispersions or dispersions using bi- or multi-modal particle size distributions. Drag reducers having larger particle sizes dissolve more slowly than drag reducers having smaller particle sizes. By using at least bi-modal particle size distributions drag reduction can be distributed more uniformly over the length of the pipeline where smaller sized particles dissolve sooner or earlier in the pipeline and larger sized particles dissolve later or further along the pipeline.
Owner:BAKER HUGHES INC

Polyolefin drag reducing agents produced by non-cryogenic grinding

ActiveCN101678396AReach desired sizePipeline systemsCoatingsPolyolefinPolymer science
Fine particulate polymer drag reducing agent (DRA) in bi-modal or multi-modal particle size distributions may be produced simply and efficiently without cryogenic temperatures. The grinding or pulverizing of polymer, such as poly(alpha-olefin) suitable for reducing drag in flowing hydrocarbons may be achieved by the use of at least one liquid grinding aid and at least two grinding processors in series. The impellers of the grinders are of different openness so that granulated polymer fed to the first processor having a relatively more open impeller is ground to an intermediate size which is fed to the second processor having a relatively more closed impeller which grinds the polymer to a second, smaller size. A non-limiting example of a suitable liquid grinding aid includes a blend of propylene glycol, water and hexanol. Particulate DRA may be produced at a size of about 300 microns or less in only two passes.
Owner:BAKER HUGHES INC

Fuzzy fitness value interactive evolutionary optimization method used for indoor wall clock design

The invention discloses a fuzzy fitness value interactive evolutionary optimization method used for indoor wall clock design. The fuzzy fitness value interactive evolutionary optimization method used for indoor wall clock design comprises the specific steps that: before the evolution is started, a system provides a design environment for a user so as to randomly generate initial evolutionary species; a person carries out single value evaluation for an individual through an interactive interface, and the system records the individual evaluation time; the system estimates an individual fitness value evaluated by the user based on the individual evaluation time and the single value evaluation value; the system clusters the species based on individual phenotype similarity and distributes unevaluated individual fussy fitness values; an individual selection adaptive value is built through the central value of the individual fussy fitness values and the individual phenotype similarity, and individual selection is finished by adopting a league method. The fuzzy fitness value interactive evolutionary optimization method used for indoor wall clock design efficiently reduces operation burden of designers as the designers only need to evaluate a small number of product types according to a single value; the system realizes estimation of the individual fuzzy fitness value evaluated by the user automatically at the background; and in comparison with the traditional fussy fitness value giving, inputting of modal particle is unnecessary and a half of the operation quantity is saved.
Owner:ZHENGZHOU UNIVERSITY OF AERONAUTICS

Method for printing multi-characteristic intaglio features

The present invention is related to an intaglio ink composition comprising a first component A) and a second component B), wherein the first component A) is selected from the group consisting of i) about 0.1% to about 40% by weight of a plurality of first particles having a modal particle diameter between about 1 nm and about 3 μm, said plurality of first particles may be a material having machine readable properties, preferably selected from the group consisting of magnetic properties, UV- or IR-absorbing properties, optically variable properties, light polarization properties, electro-conductive properties, luminescent properties and combinations thereof, ii) about 1% to about 20% by weight of one or more dyes, said one or more dyes may be a material having machine readable properties preferably selected from the group consisting of IR-absorbing properties, luminescent properties and combinations thereof, and iii) combinations thereof, and the second component B) is about 0.1% to about 40% by weight of a plurality of second particles having a modal particle diameter between about 6 μm and about 25 μm, said plurality of second particles may be a material having machine readable properties preferably selected from the group consisting of magnetic properties, UV- or IR-absorbing properties, optically variable properties, light polarization properties, electro-conductive properties and luminescent properties and combinations thereof, wherein the first component A) and the second component B) exhibit at least one different characteristic, said characteristic being selected from the group consisting of the CIE (1976) color index parameters, machine readable properties, and a combination thereof, the % by weight being based on the total weight of the intaglio ink composition.
Owner:SICPA HLDG SA

Deep learning-based garbage text filtering method

The invention discloses a deep learning-based garbage text filtering method. The method comprises the steps of filter character data at first, removing unnecessary symbols, spaces and modal particles,classifying according to different data types in the garbage text, marking and distinguishing character data and graph data without changing sequence and position of the two types of data, convertinggraph data into character data through a deep learning algorithm, wherein data conversion is integral to the deep learning method, comparing with forbidden words in a cloud server through the deep learning algorithm by combining original character data so as to obtain a garbage text, wherein text comparison represents important promotion of the deep learning method and can realize effective, deepinterception and prompt. The existing text filtering method cannot screen out the garbage text consisting both character data and graph data. The method solves the above problem, and uses the deep learning algorithm in garbage text processing, thereby improving screening accuracy.
Owner:HUAZHONG UNIV OF SCI & TECH

Multimodal particles, methods and uses thereof

The present disclosure, among other things, provides a composition of a particle including a substrate; at least a first condensation layer comprising at least a first dopant entity; and at least a second layer comprising a second dopant entity. In some embodiments, different dopant entities are included in different layers. In some embodiments, such dopant entities are or comprise detectable entities. This, in some embodiments, provided technologies achieve multi-modality particles. Among the many advantages of provided technologies include the ability to image particles by a plurality of distinct imaging modalities and / or in a plurality of contexts (e.g., pre-surgical, intraoperative and / or post-surgical environments). The present invention provides methods that include a single administration of particles to a subject, followed by a plurality of steps that comprise imaging the administered particles, which steps may utilize different imaging technologies and / or be performed at different times and / or in different environments.
Owner:SLOAN KETTERING INST FOR CANCER RES

A voice interaction method and system for inserting modal particles based on wav2vec

ActiveCN114218424BImprove generalization abilityAudio characteristics conform toCustomer communicationsNeural learning methodsSpeech blockPhonetic environment
The invention proposes a voice interaction method and system for inserting modal particles based on wav2vec, belonging to the technical fields of artificial intelligence and voice recognition. In this method, the wav2vec pre-training model under the Chinese speech environment is trained; the user's call audio is obtained and the insertion position of the modal particle is marked as the audio corpus; the audio corpus is cut, and each cut speech block is set to insert a label or not to insert Label, each speech block with a label is used as a sample to form a training sample set; an audio classification model composed of a wav2vec pre-training model and a classifier is constructed and trained, and the trained audio classification model is used to judge the human-machine speech Whether it is necessary to insert modal particles during the interaction process, the stability is high, the abruptness of random insertion is avoided, and there is no need to rely on professionals to design complex rules, with high accuracy.
Owner:HANGZHOU YIWISE INTELLIGENT TECH CO LTD
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