199 results about "Spatial computing" patented technology

A communication device that can easily correspond to an extended user interface such as a remote controller without complicated operations includes: a device information acquisition unit (203) that acquires device information from a device; a location information acquisition unit (206) that acquires The operation information acquisition unit (212) acquires the operation information based on the equipment information; the storage unit (213) stores the position information as equipment position information indicating the position of the above-mentioned equipment in association with the operation information; the direction sensing unit (207), sensing the direction information of the communication device (102); the pointing space calculation part (208), based on the position information and direction information, calculating the pointing space of the communication device (102); the selection part (209a), determining according to the device position information A device present in the pointing space selects operation information corresponding to the determined device; and an operation information transmitting unit (215) transmits a control signal for operating the device based on the selected operation information.

The present invention provides for determining a gamut boundary description for a color device, the color device being characterized at least by a destination transform which converts colors from a device-independent color space to a device-dependent color space and which reports out-of-gamut colors. A set of sample values is determined in the device-independent color space. For each of the sample values within the set of sample values, the destination transform is applied to the sample value, and in a case where the sample value is in gamut, the sample value is included within a set of gamut boundary values. The gamut boundary description is determined by forming a set of polygonal surfaces based on the set of gamut boundary values. Accordingly, a gamut boundary description is determined without necessarily having to sample additional color values as the number of colorant channels for the color device increases.

This invention relates to a memory error-finding and writing back of the automatic space computer anti-reversing of single particle. In the whole error-finding process, the memory controller codes the thirty-two digit data written into the memory according to improved Hemming form and writes the correction codes and original data into the designed memory unit. In the data reading process, the memory controller corrects the data and correction codes. When finding the data digit error, it turns for microprocessor. When finding the more than two digit error, it turns for microprocessor trap software.

The invention provides a television viewing rate assessment method based on an internet protocol television (IPTV). The television viewing rate assessment method based on the IPTV comprises the steps of performing meta index calculation, namely calculating acquired original television viewing data according to a preset index algorithm to obtain a plurality of television viewing meta indexes; performing dimensionless processing to the television viewing meta indexes to generate a plurality of normalized television viewing meta indexes; establishing a television viewing space, namely selecting the plurality of corresponding normalized television viewing meta indexes to establish a multidimensional television viewing space, wherein each normalized television viewing meta index represents one dimension of the television viewing space, and different television viewing behaviors are represented by television viewing spaces with different dimensions; and performing television viewing index calculation, namely calculating the television viewing indexes of the television viewing behaviors according to the television viewing space. Correspondingly, the invention further provides a television viewing rate assessment system based on the IPTV. Therefore, the television viewing behaviors of users can be objectively and comprehensively.

The invention discloses a novel full-view fault recovery game method which comprises the following steps of 1) inputting an initial parameter, 2) establishing a game model, 3) generating an initial game strategy space, 4) computing a local optimal strategy of a gamer i, 5) computing a local optimal strategy space, 6) performing convergence inspection, and 7) outputting a result. The method achieves fault recovery of an intelligent power distribution network comprising a dynamic load and a microsource parameter by introducing a theory of a game theory.

The invention discloses a cross-data-center network task scheduling method based on reinforcement learning. The method mainly solves the problem that task self-adaptive real-time scheduling and three-resource balanced and effective use are realized in a cross-data-center network in a reinforcement learning mode. The method comprises the following specific steps: 1, generating a training data set;2, generating a state space and an action space of reinforcement learning; 3, calculating a reward value of a feasible action in the action space; 4, training a reinforcement learning task schedulingmodel; And 5, scheduling the tasks arrived in the cross-data-center network in real time. Task scheduling across the data center network is achieved through the reinforcement learning method, three-dimensional resource balance and effective utilization serve as the target, the performance of the cross-data center network is optimized, and the resource utilization rate of the cross-data center network is increased.

The invention discloses a low-complexity precoding method for a downlink multi-user multiple-input multiple-output (MIMO) system. The method is characterized by comprising the following steps of: setting a global channel matrix, calculating a pseudo-inverse matrix of the global channel matrix, performing row decomposition on the global channel matrix, performing column decomposition on the pseudo-inverse matrix, performing orthogonal triangular decomposition on a block pseudo-inverse matrix of a user m, calculating an equivalent channel matrix of the user m, constructing a Hermitian matrix by using the equivalent channel matrix of the user m, performing LDL<H> decomposition on the Hermitian matrix, and calculating a precoding matrix and a receiving matrix of the user m according to L and D. The method has the advantages that by the null-space calculation of the pseudo-inverse matrix of the global channel matrix and the orthogonal triangular decomposition of a block, complex matrix singular value decomposition is avoided, and channel block diagonalization is quickly realized; and in addition, an equivalent channel of each single user is subjected to Hermitian matrix decomposition to finish the design of the precoding matrix, so that a calculation amount is effectively reduced under the condition of no loss of bit error rate performance.

A system for constructing an urban design digital sand table, the system includes the following modules. A sand table environment constructing module, configured to construct a digital environment of the urban design sand table. An element grading display module, configured to perform hierarchical management on urban design elements, and perform visual hierarchical display. A spatial indicator interpretation module, configured to articulate names, algorithms, and attributes for indicators in an indicator library of the urban design digital sand table. A spatial calculation tool module, configured to load a toolkit to calculate a selected range in the digital sand table. An offline data extraction module, configured to extract the data of the digital sand table so as to export two-dimensional or three-dimensional spatial data in an offline mode. A dynamic real-time editing module, configured to perform real-time editing operation on an urban digital design scheme loaded in the system.

The invention discloses a neural network image classification and recognition method based on an optimized KPCA algorithm, and the method comprises the steps of calculating the cosine similarity of different vectors in a high-dimensional space, carrying out the dimension reduction of an original matrix of the KPCA algorithm through matrix rank minimization, reserving the effective information of original data to the maximum degree, and extracting better feature vectors to serve as weight values of convolutional layers, therefore, the problems that when an original KPCA algorithm is used for convolutional neural network image classification prediction, convolution kernel initialization calculation is complex, dimensionality disasters are likely to be caused, reliable features cannot be extracted, a whole network is difficult to train, and a network architecture is sensitive to image noise are solved. Therefore, the robustness and prediction performance of the whole network model are improved, and the effect of image classification and recognition is finally improved.

A color-management apparatus and method which can improve color reproducibility during color-gamut mapping of devices having different color gamuts are provided. The apparatus includes a transformation unit transforming a first color space of an original image supplied from a source device into a second color space, a computing unit computing a plurality of second parameters based on at least one among a plurality of first parameter defining the second color space, and a color-gamut mapping unit performing color-gamut mapping between the source device and a reproduction device reproducing an output image from the original image using the plurality of second parameters.

A method and apparatus for bi-direction training in D2D/cellular networks. An embodiment method includes sending training symbols to sense interference from the cellular UEs, calculating an interference subspace from the cellular UE to each of the D2D UEs, calculating an orthogonal projection matrix based on the interference subspace calculated, and iteratively updating receive filters through forward training and transmit beamformers through backward training after the orthogonal projection matrix is calculated to align the D2D UEs. In an embodiment, training symbols are sent to sense interference from the cellular UE.

Various implementations provide for a task as the method that describes a spatial computing application by providing an abstract task graph (ATaG) wherein the abstract task graph specifies the behavior of the application without reference to the number, placement and connectivity of the nodes performing the application and the tasks are automatically mapped to the network. The ATaG specifies a set of tasks, a set of data objects and a set channels, including various constraints and preferences on where in the network tasks may be performed, how data is moved between locations and the data required at various locations. Moreover, various implementations provide for a task assignment system which maps the abstract tasks and channels to specific nodes and communication links, either at the time of the construction of the system or throughout the time of its operation.

The invention discloses a method for building a distributed space computation service node and a gateway device for fusing various platforms to provide the space computation service. The method comprises the following steps: performing asynchronous call on space computing resources based on a Web service structure; according to the order of first in first out, responding to an event in a multithreading mode, and realizing corresponding functions of the event; configuring a connector actually connected with the computing resources through configuring a file, and realizing the connection with the actual computing resources. The owner of the space computing resources can simply provide the owned computing resources on different platforms and systems, and the space computing resources are subjected to servitization by a node building tool to form the space computing service with unified self-described interfaces.

Methods, system, computer readable mediums, and/or computer program products for controlling a flow of incoming quote transactions from clients to an electronic trading system communicating with the clients. The system comprises at least one receiving server adapted to receive the flow of incoming quote transactions from the clients and at least one processing unit adapted to process the incoming transactions. The method includes receiving a quote transaction from a user of a client; calculating a period of time elapsed since the last transaction was received from the user; calculating an available quote space for the user using the elapsed period of time and unused quote space previously accumulated; determining whether the transaction should be allowed based on the available quote space; and if it is determined that the transaction not should be allowed, delaying the transaction until there is available quote space for the user.

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 digital image analysis method based on fractal dimension. The method is characterized by comprising the following steps: extracting all color attribute information included in a digital image through an image information matrix U; calculating the distance between pixel points by use of the image information matrix U; performing increment judgment on elements in the image information matrix U; selecting an increment manifold algorithm or non-increment manifold algorithm according to the increment judgment result to obtain a low-dimensional pixel point space of the image information matrix U; calculating the distance between any two pixel points in the low-dimensional pixel point space by use of the low-dimensional pixel point space; and calculating the fractal dimension of the digital image by use of the obtained distance between the pixel points so as to realize classification of different digital images. The method disclosed by the invention can effectively obtain the fractal dimension from the image to be processed, ensures relatively least fitting error, and realizes good classification ability on the digital image.

The invention provides a tool running state reliability evaluation method based on EMD. The method includes the steps that wavelet denoising is conducted on state signals such as a force signal, a vibration signal and an acoustic emission signal which are collected in the tool machining process, then after EMD is conducted, IMF components related to tool abrasion are extracted, the mean value of amplitudes of the IMF components is used as an information index of the tool running state, a characteristic matrix is built, a sub-space of the characteristic matrix at the normal state and a sub-space of the characteristic matrix at the current state are constructed through a sub-space construction method based on kernel principal component analysis, and a main included angle of the sub-spaces is calculated and used as the reliability of a tool. The method is not based on a large sample condition, is completely suitable for small sample tools with failure data, is especially suitable for evaluating the reliability of tools which are high in manufacturing cost and are made specially, and is accurate in evaluation result.

The invention discloses an action similarity evaluation method based on small sample learning. The method comprises the steps of establishing a data preprocessing model, Training model, Test model, ahuman body posture estimation model is adopted to extract a human body overall skeleton motion video and each joint point position; Excluding background interference, the action of the person is splitaccording to the joint point position; setting a sampling pixel value and a sampling interval; intercepting to obtain a sampling video comprising a human body integral skeleton motion video and a joint action taking each joint point as a center; the sampling video combines local information and global information, after data preprocessing, a rewritten triple loss function is used for training, finally video data are mapped to a cosine space, the cosine distance is calculated, and the overall action of a person in the video and the similarity degree result of all joints are output. According to the method, a good action feature mapping model can be learned only by using few samples, so that a good action similarity result is obtained.

Advanced micro-location of RFID tags in 3D and 2D spatial environments includes a mobile platform having a known location within a three-dimensional (3D) space. A plurality of RFID tags is located within the 3D space. A plurality of RFID antennas is mounted on the mobile platform, wherein backscatter signals of at least one of the RFID tags are collected by at least one of the plurality of RFID antennas and time-synchronized with the known location of the mobile platform in the 3D space at a time of collection. A computerized processing device is in communication with the plurality of RFID antennas. The computerized processing device performs algorithmic RFID tag localization using at least the collected backscatter signals of the at least one RFID tag and the time-synchronized known location of the mobile platform to determine a micro-location of the at least one RFID tag within the 3D space.

The invention relates to a track similarity calculation method based on sorting learning. The method comprises the following steps: 1) expanding an Euclidean space; 2) calculating similar attributes of the track sequence; 3) normalizing the track sequence; 4) constructing a label of an experiment track by adopting a self-similarity method; 5) constructing a training set, and training the SVM learner; and 6) dividing the test set into an input document set and a label document set, and outputting the rank of the real label of each input document by applying the trained SVM sorting model. The beneficial effects of the invention are that the method irons out the limitations of a conventional track similarity calculation method based on a point matching algorithm, the low accuracy of track matching, the weak resistance to a noise non-uniform sampling rate, and the efficiency problem of a track matching algorithm based on deep learning; according to the method, the time complexity of similarity calculation is greatly reduced, and compared with the prior art, the accuracy of trajectory similarity calculation is improved.

The method of estimating power of interference signal code in CDMA mobile communication system includes the following steps: eliminating the interference of data segment on the middle pilot frequency receiving signal; constituting and eliminating convolution matrix corresponding to the middle pilot frequency receiving signal influenced by the data segment; calculating the null space of the pilot frequency convolution matrix; and calculating estimated power of interference signal code. The present invention can raise the accuracy of estimated power of interference signal code, and the estimation deviation will not alter with the altering SIR.