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200 results about "Spatial computing" patented technology

Spatial Computing is a set of ideas and technologies that will transform our lives by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places.

Cloud computing system reliability modeling method considering common cause fault

The invention discloses a cloud computing system reliability modeling method considering a common cause fault, and belongs to the technical field of network reliability. The method comprises the steps of determining a state combination of a similar single server of a cloud computing system and performing simplification; calculating an existence probability of the simplified state combination of the similar single server by adopting a fault tree method; determining state combinations of similar servers of the cloud computing system, performing simplification, and calculating an existence probability of each state combination; enumerating state combinations of different servers of the cloud computing system, and calculating an existence probability of each state combination; and according to the state space of the cloud computing system, calculating the system reliability according to a given demand. According to the method, a common cause fault of all virtual machines running in the servers, caused by server faults, is considered, the state space modeling is adopted, and the state space is simplified, so that the problem of state space explosion during system scale increment is solved and the modeling efficiency is improved.
Owner:BEIHANG UNIV

Television viewing rate assessment method and system based on internet protocol television (IPTV)

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.
Owner:SHANGHAI ORIENTAL PEARL MEDIA

Cross-data-center network task scheduling method based on reinforcement learning

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.
Owner:XIDIAN UNIV

Low-complexity precoding method for downlink multi-user multiple-input multiple-output (MIMO) system

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.
Owner:CHONGQING UNIV

Systems and methods for architecture independent programming and synthesis of network applications

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.
Owner:PALO ALTO RES CENT INC

Method for building distributed space computation service node and gateway device

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.
Owner:RES INST OF FOREST RESOURCE INFORMATION TECHN CHINESE ACADEMY OF FORESTRY +2

System for constructing an urban design digital sand table

The invention discloses a system for constructing an urban design digital sand table. The system comprises a sand table environment construction module used for constructing a digital environment of an urban design sand table; an element hierarchical display module hierarchically managing urban design elements and hierarchically displaying the urban design elements in a visualized way; a space index interpretation module for interpreting the name, algorithm and attribute of indexes in a urban design digital sand table index library; a space calculation tool module for calculating a selected range loading toolkit in the digital sand table; an offline data extraction module for extracting digital sand table data in an offline mode and exporting two-dimensional or three-dimensional spatial data; a dynamic instant editing module for editing an urban digital design scheme loaded in the system in real time. The system can conveniently import the urban design scheme into the urban digital environment, and provides a platform and a guarantee for the digital research, analysis, management and control of the urban design.
Owner:SOUTHEAST UNIV

Systems and methods for preventing server and network overload

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.
Owner:CINNOBER FINANCIAL TECH

Computing method of preventive control measure for short-circuit current in electric power system

The invention relates to a computing method of a preventive control measure for short-circuit current in an electric power system, which is applicable to short-circuit current evaluation and preventive control computation in a given operation mode. The method can be divided into two classes according to different types of control measures: (1) preventive control based on device start or stoppage: on the premise that the start or stoppage of a designated device in a network does not affect the system safety stability, forming a preventive control measure space based on device start or stoppage, and computing the effect of the start or stoppage of each device on the sensitivity of the short-circuit current on the basis of the measure space, thereby giving out the preventive control suggests; (2) preventive control based on plant topology analysis: by analyzing the topological connecting relation among the devices, such as circuit breakers, knife switches and the like in a plant, acquiring the main connection mode of the plant, computing control measures for the bus split operation or circuit out-of-series operation, and checking the short-circuit current level after the connection mode is changed; and finally, carrying out safety stability check on the possible preventive control measures based on device start or stoppage and plant topology analysis, thereby obtaining the final feasible measure.
Owner:STATE GRID JIANGXI ELECTRIC POWER CO +1

Action similarity evaluation method based on small sample learning

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.
Owner:SUN YAT SEN UNIV
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