86 results about "Domain space" patented technology

A semantically organized domain space is created from a training corpus. Affective data are mapped onto the domain space to generate affective anchors for the domain space. A sentiment associated with an input text is determined based the affective anchors. A speech output may be generated from the input text based on the determined sentiment.

An image is encoded to define one or more spatial regions that can be sensed by a suitably-equipped mobile device (e.g., a smartphone), but are imperceptible to humans. When such a mobile device senses one of these regions, it takes an action in response (e.g., rendering an associated tone, playing linked video, etc.). The regions may overlap in layered fashion. One form of encoding employs modification of the color content of the image at higher spatial frequencies, where human vision is not acute. In a particular embodiment, the encoding comprises altering a transform domain representation of the image by adding signal energy in a first chrominance channel, where the added signal energy falls primarily within a segmented arc region in a transform domain space. In another arrangement, a smartphone display presents both image data captured from a scene, and a transform representation of the image data (e.g., in the Fourier domain). This latter information can aid a user in positioning the phone, e.g., to enhance decoding of a steganographic digital watermark. In still another arrangement, foveal filtering is applied to of smartphone-captured image data in connection with other image processing.

The embodiment of the invention discloses a neural network processor and a convolutional neural network processor. The neural network processor can comprise a first weight preprocessor and a first operation array, wherein the first weight preprocessor is used for receiving a vector V<x> including M elements; the normalized value domain space of the element V(x-i) of the vector V<x> is a real number which is greater than or equal to 0 and is smaller than or equal to 1; an M*P weight vector matrix Q<x> is used for performing weighting operation on the M elements of the vector V<x> to obtain M weighting operation result vectors; the first operation array is used for accumulating the elements with the same positions in the M weighting operation result vectors to obtain P accumulated values; a vector V<y> including P elements is obtained according to the P accumulated values; and the vector V<y> is output. The technical scheme provided by the embodiment has the advantage that the expansion of the application range of neural network operation is facilitated.

A semantically organized domain space is created from a training corpus. Affective data are mapped onto the domain space to generate affective anchors for the domain space. A sentiment associated with an input text is determined based the affective anchors. A speech output may be generated from the input text based on the determined sentiment.

Apparatus and methods for real-time traffic classification based on off-line determined traffic classification rules are provided. Traces of real traffic are obtained and subjected to statistical analysis. The statistical analysis identifies the multidimensional domain space of characteristic traffic parameters. Classification rules associated with the identified domains are derived and provided to traffic classification points for real-time traffic classification. Traffic classification points, typically edge network nodes, sample packets in aggregate streams with a predetermined probability. Statistical information regarding the sampled flows is tracked in a table, the number of time a flow was sampled providing a probabilistic measure of the flow's duration before the flow terminates. The table entries, which predominantly track high bandwidth flows, are subjected to the classification rules for real-time classification of the sampled flows. Optionally, rules include an action to be taken in respect of flows having characteristics matching thereof. Advantages are derived from low overhead on-line real-time classification of high-bandwidth flows at low overheads before flow termination.

A virtual network and method for providing an operator-managed home LAN service. The access interface enables definition of the virtual network. Each user device in the home LAN is provided with an IP address within the same IP domain space. The access interface enables communication between user devices and external networks via the virtual network by providing external operator-managed service entities such as a Network Address Translator / Firewall (NAT / FW) and service gateways.

An apparatus for testing and developing products of network computing based on an open-source virtualized cloud includes a physical space, a network function virtualization (NFV) infrastructure domain space that provides a virtualization function in an independent environment of each user; an NFV engine space that provides a processing based environment for virtual appliances which are units of a virtual network device that is individually operable, a framework space that provides support to allow the virtual appliances to be developed and registered, and a virtual network service space that provides a user interface interoperating with the framework space so that a user configures a virtual network through the user interface and a test function of the configured virtual network is supported.

The invention relates to a knowledge discovery method of crowd trampling behavior evolution under a disaster condition. The method comprises the following steps that: 1) crowd trampling scene element features are extracted, simulation is carried out in an intelligent crowd evacuation model, so that trampling evolution behavior features in an evacuation process are obtained, and the discourse-domain object set of a discourse-domain space layer is constructed; (2) rough set attribute discretization is performed on the crowd trampling scene element features and the trampling evolution behavior features; 3) a trampling evolution mechanism knowledge expression of a ''condition-decision'' two-dimensional information pattern is established, and knowledge reduction is performed on the trampling evolution mechanism knowledge expression; 4) a meta-rule library is generated according to the trampling evolution behavior features; and 5) the meta-rule library and evacuation instances are loaded, so that the generalized rule library of trampling evolution is generated. Compared with the prior art, the method of the invention can realize the automatic knowledge discovery of a crowd trampling behavior evolution mechanism through the classical rough set theory and can assist in solving the problem of the lack of knowledge of the crowd trampling evolution mechanism.

The invention relates to discrete gradually color-changed chromatography constructed by coupling and mixing trichromatic fibers and spinning of gradually color-changed yarns. Based on the mass of thetrichromatic fibers, increasing and decreasing mass sequences are constructed, a combination pair is used as a trichromatic fiber mass coupling and mixing and gradient mixing model. Based on the model, the discrete gradually color-changed chromatography of the trichromatic fibers and a draft ratio discrete algorithm for spinning of discrete gradually color-changed yarns are constructed. The discrete gradual change effect of the color of the yarns based on coupling and mixing of three primary colors is achieved, the yarns which have discrete gradually changed colors and have color serializationcharacteristics are spun, or gradually color-changed yarns with a natural gradient color effect on one yarn are spun. Therefore, based on the coupling mass ratio among the trichromatic fibers, secondary color matching among the multi-primary color fibers can be efficiently realized, discrete gradually changed serialized colors and discrete gradually changed colors in a full-color domain space canbe obtained, and colored yarns with different discrete gradually changed colors corresponding to fibers in three colors are obtained accurately.

The invention discloses an image classifying method based on transfer learning a multiple attractor cellular automata (MACA) and mainly solves the problems that an existing image classifying method based on transferring cannot avoid the empty basin appearance, the similarities of a source domain sample and a target domain sample are not accurately calculated, the effect of transferring from the source domain sample to the target domain sample is poor, and the classification accuracy is low. The image classifying method comprises the steps: (1) performing image data pre-processing; (2) training a multiple attractor cellular automata (MACA) tree in a source domain space; (3) dividing a target domain training set; (4) constructing a local mode space training set; (5) training a multiple attractor cellular automata (MACA) tree in a local mode space; (6) generating a target domain multiple attractor cellular automata (MACA) tree. The image classifying method has the advantages of strong generalization ability and high classifying accuracy and effectively solves the problems that the existing image classifying method cannot avoid the empty basin appearance and poor transferring effect.

The invention discloses a motion image-electroencephalograph (MI-EEG) recognition method based on brain-derived domain space. The recognition method comprises the steps as follows: performing common average reference and band-pass filtering and other preprocessing on acquired MI-EEG; performing inverse transformation on the EEG by standardized low-resolution brain electromagnetic CT algorithm to obtain a brain-derived domain dipole moment amplitude time sequence; primarily selecting dipoles on the basis of dipole moment amplitude by a data driven method, performing time-frequency analysis on the dipoles by continuous wavelet transform to select dipoles and determine optimal time period; and extracting dipole wavelet coefficient powder sequence characteristics by a one-to-one common spatialpattern algorithm, and inputting the characteristics in a support vector machine for classification. The time domain, frequency domain and spatial domain information are fully utilized in optimization of dipoles, determination of optimal time period and characteristic extraction while the spatial resolution is improved, and the method has great significance in improving calculation efficiency andclassification accuracy.

An image is encoded to define one or more spatial regions that can be sensed by a suitably-equipped mobile device (e.g., a smartphone), but are imperceptible to humans. When such a mobile device senses one of these regions, it takes an action in response (e.g., rendering an associated tone, playing linked video, etc.). The regions may overlap in layered fashion. One form of encoding employs modification of the color content of the image at higher spatial frequencies, where human vision is not acute. In a particular embodiment, the encoding comprises altering a transform domain representation of the image by adding signal energy in a first chrominance channel, where the added signal energy falls primarily within a segmented arc region in a transform domain space. In another arrangement, a smartphone display presents both image data captured from a scene, and a transform representation of the image data (e.g., in the Fourier domain). This latter information can aid a user in positioning the phone, e.g., to enhance decoding of a steganographic digital watermark. In still another arrangement, foveal filtering is applied to of smartphone-captured image data in connection with other image processing.

The invention proposes a visual perception correction image compression method based on DCT transform. The method is used for lossy compression of an image, and comprises the following steps: firstly, converting the image into a Ycrcb format via domain space transformation; secondly, decomposing the image into 8x8 image subblocks, and performing DCT transform on each image subblock; thirdly, in a DCT coefficient of each subblock, processing the coefficient through a judgment method and then decomposing the coefficient into a high frequency coefficient and a low frequency coefficient, wherein an error compensation mechanism is adopted for the high efficiency coefficient and visual perception correction transformation is performed on the low frequency coefficient, and then encoding; and finally, the process of reconstructing the image is an inverse operation of the compression process. Through the method of the invention, the image can not only get a higher compression ratio, but also the compression efficiency of the image is not reduced due to the increase of the amount of calculation; and meanwhile, the reconstructed image is analyzed, the image restoration degree is increased, the signal to noise ratio is enhanced, and the image restoration quality is obviously improved, therefore, the visual perception correction image compression method based on the DCT transform provided by the invention has strong practicability.

The invention discloses a cylindrical neighborhood applicable to multi-view point cloud processing and a searching method of the cylindrical neighborhood. The cylindrical neighborhood is defined as a set of point data which are in a cylindrical region and meet the Euclidean distance criterion and the normal vector criterion at the same time. The searching method of the cylindrical neighborhood comprises the steps of (1) normal vector estimation of the point data, (2) octree construction, (3) positioning of nodes where the point data are located, (4) construction of the cylindrical region, (5) solution domain space calculation and (6) cylindrical neighborhood solution. Compared with a traditional spherical neighborhood searching method, the searching method of the cylindrical neighborhood has the advantages that a search range is expanded in the direction of normal vectors of the point data, the influence caused by multi-view point cloud overlapping region layering is eliminated, and neighborhood searching integrity is improved; besides, the normal vector criterion is introduced to neighborhood solution, defects of the Euclidean distance criterion are overcome, and neighborhood searching reasonability is improved.

The invention discloses a blueberry root domain space covering cultivation method which comprises the steps as follows: adopting a planting furrow covering method or a planting hole covering method, covering the interior of the planting furrow with crop straws, sawdust or pine needles, laying microporous permeable non-woven fabrics on all walls and the bottom of the planting furrow, and using plastic films to partition the non-woven fabrics on all walls of the planting furrow, planting blueberry seedlings, wherein the root system of the blueberry seedlings cannot penetrate through the non-woven fabrics, filling the nutrient soil to the planting furrow and performing fix planting of the blueberry seedlings, and covering overground parts of the blueberry seedlings after fixing planting with the crop straws, sawdust or pine needles with certain height, wherein the pH value of soil is stabilized within the range of 4.5-5.7. Therefore, the blueberry root domain space covering cultivation method is simple to operate, the purpose of improving blueberry planting soil can be achieved only with lower cost, the influence on growth of blueberries due to inappropriate soil conditions is avoided, the soil has favorable permeability, the blueberries grow well, the fruit quality is improved, and the blueberry root domain space covering cultivation method is very conducive to production of organic fruit products and expansion of planting range of the blueberries.

The invention relates to a timing synchronization method under a high-speed mobile condition. The timing synchronization method under the high-speed mobile condition includes the steps: 1, constructing space base vectors of right crossing angle domains, 2, carrying out projection on the right crossing angle domains of received signals, 3, carrying out rough timing synchronization on the right crossing angle domains, 4, carrying out equivalent Doppler estimate and compensation on the right crossing angle domains, 5, carrying out fine timing synchronization on the right crossing angle domains, and 6, carrying out fine synchronized signal combination and timing judgment on each right crossing angle domain space. According to the timing synchronization method under the high-speed mobile condition, the process of timing synchronization is divided into the rough timing synchronization and the fine timing synchronization, reference synchronization frame header is adopted to carry out frame timing synchronization, and the reference synchronization frame header comprises Q short training sequences with the cycle length of D and one long training sequence with the length of K. A first part of the reference synchronization frame header is mainly used for the rough timing synchronization and frequency synchronization, and a second part of the reference synchronization frame header is mainly used for the fine timing synchronization. When the timing synchronization method under the high-speed mobile condition is used for frequency offset estimation, acquired estimate range is large, estimate accuracy is high, and the function of noise suppression of a synchronizing system can be further improved.

The invention according to one embodiment is a method of distributing information in an RFID tag code that allows a decrease in the tag code length and, at the same time, retains all the information required by longer hierarchical code specifications, such as the ePC code and G-tag code specifications. In another embodiment, the invention is a method of mapping information from a shorter tag code to a longer computer searchable hierarchical code with full data compatibility of the tag code data with the hierarchical code fields. In a further embodiment, the invention is a method of mapping a hierarchical code to a shorter tag code without loss of any information. Blocks in the domain space are sold to encourage judicious use of the space and to avoid wasting the space. Although it is desirable for a manufacturer to purchase domain space blocks that are contiguous in the domain space, the system disclosed is sufficiently flexible to accommodate manufactures of various sizes, as well as manufacturers whose needs change over time.

An aggregation device that connects a plurality of internal sub-networks processes a packet that is destined for one of the plurality of sub-networks. The aggregation device receives the packet and determines an internal sub-network identification value based on the combination of an external sub-network identification value that is in the packet, and a port of the aggregation device to which the one of the plurality of internal sub-networks is connected. The aggregation device may also determine an external sub-network identification value based on an internal sub-network identification value that is associated with a port of the aggregation device to which one of the plurality of internal sub-networks is connected. The external sub-network identification value is stored in the packet and the packet is transmitted on the port of the aggregation device to which the one of the plurality of internal sub-networks is connected.

The invention provides a method for quantitatively inverting porosity by using seismic wave impedance and belongs to the field of exploration and development of oil and gas. The method comprises the following steps: taking the seismic wave impedance as input data, constructing an error function inverting the porosity by using a rock physical equation and a seismic wave propagation velocity equation, constructing a feasible domain space of solutions in the value range of the porosity, and performing iterative inversion in the feasible domain space by adopting a non-linear global optimization algorithm to obtain the final porosity. The method provided by the invention is based on the rock physical equation and an elastic parameter to invert the seismic porosity, so that the physical significance is clear and the applicability is strong; the value range of the porosity is added into the inversion process as a constraint, so that the stability and the prevision in inversion are improved, and the advantage of prestack elastic parameter inversion can be kept; moreover, the method has the advantage of directly forecasting an oil and gas distribution favorable zone and can be directly used for inverting the porosity of actual seismic data.

The invention discloses an emotion polarity detection method based on multi-domain data set joint embedding, which belongs to the technical field of service computing, and utilizes the advantages of across-domain data set to carry out emotion polarity detection on data sets in different fields. Inspired by the latest progress of emotional analysis performed by the cross-domain data set, the invention provides a new visual angle, and the domain adaptation problem of the data set is taken as an embedded projection task. The model of the invention takes two single-field embedding spaces as inputand projects the two single-field embedding spaces to a double-field space through learning, and the space is subjected to joint optimization to predict emotion polarity. An experiment is carried outon a plurality of source domain and target domain pairs by using the Amazon domain adaptive data set and the SemEval 2013 and 2016 data sets so as to carry out sentiment classification. The result analysis shows that the model provided by the invention is equivalent to the most advanced method in the similar fields, and is better in performance in the fields with different heights.

The invention relates to a carbon nanometer ring and a preparation method thereof, and belongs to the technical field of carbon nanometer materials. The carbon nanometer ring consists of a single layer or a plurality of layers of carbon rings, and the carbon rings have a structure which is similar to a closed ring body coiled by a graphite flake layer; and axial sizes and radial sizes of the carbon nanometer ring are a nanometer order, and the axial sizes are smaller than the radial sizes. The invention also provides a method for preparing the carbon nanometer ring. The method comprises the following steps of: roasting long-chain alkyl anions and a lamellar double-hydroxyl composition metal oxide of a carbon source molecular intercalation in the inertia or reducing atmosphere, growing thecarbon nanometer ring in interlaminar restricted domain space under the catalytic action of laminate metal elements, and removing metal and the metal oxide by acid dissolution to obtain the carbon nanometer ring. By the method, the axial sizes and radial sizes of the carbon nanometer ring and the layer number of the carbon ring can be controlled effectively. The carbon nanometer ring has a nanometer ring structure and the excellent performance of carbon materials, has more edge carbon and dangling bonds, and has a bright application prospect in fields of nanometer devices, energy storage, sensing and the like.

The invention belongs to the technical field of preparation of inorganic composite materials and specifically relates to a chromotropic acid intercalated hydrotalcite composite material, as well as a preparation method and an application thereof. The chemical general formula of the chromotropic acid intercalated hydrotalcite composite material disclosed by the invention is (M2+1-xM3+x(OH)2)x+(A2-)x / 2. mH2O, wherein M<2+> is Zn<2+> or Mg<2+>, M<3+> is Al<3+>, and M<2+> and M<3+> are positioned on a hydrotalcite main body layer plate; A<2-> is interlayer chromotropic acid anion C10H6O8S2<2->; x is the molar ratio value of M<3+> / (M<2+>+M<3+>), and x is not less than 0.2 and not more than 0.33; and m is the number of interlayer water molecules, and m equals to 3-6. According to the preparation method disclosed by the invention, a nucleation / crystallization separation method is adopted for inserting chromotropic acid anions between hydrotalcite layers, and alkaline hydroxyl groups on the surface of the hydrotalcite layer plate are further utilized for promoting heavy metal ion precipitation, so that the adsorption efficiency against heavy metal ions is further improved. The chromotropic acid anions are positioned in a restricted domain space between the hydrotalcite layers, and after adsorption and chelation of the heavy metal ions, the convenience in separation and recovery of the hydrotalcite is utilized for solving the problem of recovery of an adsorbent.

A master daemon (a dedicated program component) is provided for a computer operating system which utilizes selected criteria to perform actions in one or more domains, as defined. The master daemon provides application program interfaces (APIs or facilities) and monitors all requests (for which the master daemon is configured) directed to the associated computing base including the operating system. All requests are in the form of encapsulated information as defined. In general, the master daemon, in response to such requests, performs the actions, each constrained to operate exclusively in a single domain. Selected criteria that may be contained in encapsulated information may define a higher-order multidimensional domain space for segregating system operational functionality according to configured boundaries. Multiple instances of actions may exist simultaneously in the same domain in the associated computing base, with the master daemon performing the actions for each request as required in each selected domain. According to a specific embodiment, as prompted by limitations in a purportedly multilevel secure operating system normally directly responsive to autonomous daemons, security is improved through an augmentation applied to the operating system in the form of a master daemon and operative according to a method for controlling access to domains. More specifically, a domain may be configured using constructs of security labels and other criteria.

The present invention provides systems and methods that isomorphically maps constructs between domain spaces (e.g., object, markup, relational and user interface domains). The systems and methods employ a mapping component that utilizes at least one suppress label(s), introduce label(s) and / or mediating schema to facilitate construct mapping. Examples of such mapping include transforming a named construct to an anonymous construct, a named construct to a named construct, an anonymous construct to a named construct, and an anonymous construct to an anonymous construct. In general, introduce labels can be utilized to provide names for anonymous constructs and / or modify existing names; suppress labels typically are utilized to suppress names such as introduced names or names a user desires to be suppressed; and mediating schema can be utilized to provide a default or user customized mapping to an intermediate schema before, during and / or after construct mapping.

The invention discloses an array element Doppler domain space-time two-dimensional self-adaptive processing method based on data fitting, and relates to radar technology. The method comprises the steps that 1, array element Doppler domain dimensionality reduction echo data and space-time guide vectors are obtained; 2, a data basis matrix of a distance unit to be detected is constructed; 3, a data basis matrix with targets blocked is obtained; 4, the fitting coefficient of auxiliary echo data is obtained; 5, the minimum fitting error of data of the distance unit to be detected is obtained; 6, unit average constant false alarm rate detection is carried out on the minimum fitting error of the data of the distance unit to be detected. The array element Doppler domain space-time two-dimensional self-adaptive processing method mainly solves the problem that a traditional STAP method is huge in computation burden and strict in sample requirement, and has the good application prospect in measured data processing and STAP performance improvement.

The invention discloses a frequency spectral integration processing method and device as well as a storage medium. The method comprises the following steps: training a neural network model by using adeep learning method and on the basis of a source domain training sample, so that a trained source domain optical fiber transmission model is obtained; performing transfer learning training on the source domain optical fiber transmission model by using the deep learning method and on the basis of the source domain training sample, so that a target domain optical fiber transmission model is obtained; and receiving a sending path establishment request specific to a service flow, and if a fact that a resource can not be reserved for the service flow in a target domain space division multiplexingoptical network is judged, based on the target domain optical fiber transmission model, predicting frequency spectral integration predication time corresponding to the service flow, and performing corresponding processing on the basis of the frequency spectral integration predication time. The method and device as well as the storage medium which are disclosed by the invention can complete frequency spectrum resource optimization before a service start time and finally effectively bears a service about to be blocked, so that service blocking rate is reduced, frequency spectrum resource utilization rate is improved, and using experience degree of a user is improved.

Embodiments of the invention disclose an application downloading and installing method and a terminal device, in order to reduce user manual operations of switching domain spaces and improve user experience. The method disclosed by the embodiments of the invention comprises: receiving a downloading instruction of an application, and downloading the application; obtaining domain space configuration for installing the application, wherein the domain space configuration comprises at least one domain space identification; and installing the application in at least one domain space, wherein the domain space is the domain space instructed by the domain space identification. Since the method and the terminal device disclosed by the embodiments of the invention can support a same application to be installed in multiple domain spaces, when a user wants to use a certain application in a certain domain space, frequent switch of switch domains is no longer needed, so that user manual operations of switching domain spaces are reduced, and user experience is improved.

The invention provides a vehicle control method and control device, and a vehicle. The method comprises the steps that engine temperature is collected and demand torque and battery discharge efficiency of the vehicle are acquired; the current working condition of the vehicle is judged; if the vehicle is in a combined driving working condition, the torque difference between the demand torque and anupper limit of a preset engine economic zone and a fuzzy interval in a theoretical domain space corresponding to the engine temperature and the battery discharge efficiency are determined, and enginetorque and motor torque of the combined working condition are determined according to a preset fuzzy rule and the fuzzy interval. According to the vehicle control method, when the vehicle is in the combined driving working condition, the optimum torque and the motor torque can be determined according to the torque difference between the demand torque and the upper limit of the engine economic zone, the engine temperature and the battery discharge efficiency, the rationality of torque distribution is improved, the aim of fuel economy and emission performance reaching the optimum is achieved, the economy of the vehicle is improved, and energy is saved.

The invention brings forward a high-voltage cable joint state detection method. The method comprises the following steps: acquiring a cable joint temperature, a cable current and an environment temperature; respectively establishing membership functions; converting the environment temperature, the cable joint temperature and the cable current into fuzzy values respectively according to the membership functions; determining fuzzy subclasses which the fuzzy values of the environment temperature, the cable joint temperature and the cable current belong to in corresponding domain spaces; and establishing fuzzy inference rules so as to determine cable joint states and generation factors for the over-high cable joint temperature. According to the detection method provided by the embodiment of the invention, whether cable joints are abnormal and reasons why problems occur can be accurately and reliably analyzed, and alarms can be given timely, such that risks caused by abnormities of the cable joints can be avoided, and life and property safety of passengers are guaranteed. The invention also brings forward an automobile high-voltage cable joint state detection system.

The invention relates to a program interface development method and device, computer equipment and a storage medium. The method comprises the steps of obtaining program information from a displayed interface aggregation platform, wherein the program information comprises a program identifier and a first permission identifier; obtaining an identifier of the database interface and a calling permission of the database interface; and in response to the interface aggregation request, detecting and determining that the interface aggregation request corresponds to the first permission identifier, establishing a dependency relationship between the program identifier and the identifier of the interface, and generating a developed program. By adopting the method, the first permission identifier such as the token can be set through the front end to ensure that the front end is directly connected with the database, the security is realized, the one-to-one correspondence between the query and the query of the database is realized, the problems of task manager, serial and parallel, construction of domain space of a management data interface and the like do not need to be considered, and the overall structure is relatively simple.