416 results about "Dataspaces" patented technology

Briefly, the present invention relates to an information dispersal sytem in which original data to be stored is separated into a number of data “slices” in such a manner that the data in each subset is less usable or less recognizable or completely unusable or completely unrecognizable by itself except when combined with some or all of the other data subsets. These data subsets are stored on separate storage devices as a way of increasing privacy and security. In accordance with an important aspect of the invention, a metadata management system stores and indexes user files across all of the storage nodes. A number of applications run on the servers supporting these storage nodes and are responsible for controlling the metadata. Metadata is the information about the data, the data slices or data subsets and the way in which these data subsets are dispersed among different storage nodes running over the network. As used herein, metadata includes data source names, their size, last modification date, authentication information etc. This information is required to keep track of dispersed data subsets among all the nodes in the system. Every time new data subsets are stored and old ones are removed from the storage nodes, the metadata is updated. In accordance with an important aspect of the invention, the metadata management system stores metadata for dispersed data where: The dispersed data is in several pieces. The metadata is in a separate dataspace from the dispersed data. Accordingly, the metadata management system is able to manage the metadata in a manner that is computationally efficient relative to known systems in order to enable broad use of the invention using the types of computers generally used by businesses, consumers and other organizations currently.

A system and method for automated service recommendations. A request is received over a network, from a user for service recommendations, wherein the request comprises an identification of the user and at least one service selection criteria. A query is formulated so as to search, via the network, for user profile data, spatial data, temporal data, social data and topical data that is available via the network and relates to the requesting user, the service selection criteria and to a plurality of services available via the network so as to a identify a subset of the plurality of services available via the network that relate to the request. A list of the identified subset of services is transmitted, via the network, to the requesting user. A selection of at least one of the selected subset of services available received from the user and the user is enrolled in the selected service.

A method and service for enabling a smallest unit of variable data within a data space of a user application to be dynamically updated using an external source. The application GUI is enhanced with a dynamic update utility (DUU) that enables the data unit to be selected and linked to the broker topic. A list of available topics is presented for selection by the user, and the data unit automatically linked to the selected broker topic without requiring user knowledge of the specific linking parameters of the external source. A JMS client application is provided containing a message listener and an application writing protocol. A subscriber is defined for the data unit and subscribes to the particular event broker topic hosted at a JMS provider. When the event broker receives a publication from the data publication source, a copy of the published data is forwarded to the message listener associated with the subscriber, and the message listener provides the data to the application writing protocol. The application writing protocol then automatically overwrites the data unit with the published data.

A system and method for configuring a cluster of computer nodes to save and restore state in the cluster in the event of node failures. The system and method are implemented through an application programming interface that includes a membership application, a locks application and a dataspace application. The membership application maintains a set of nodes in the cluster. The lock application provides a means for service applications running on the nodes to synchronize access to dataspaces. The dataspaces provide a cluster-wide shared regions in the memory of the cluster members. The API is configured to monitor the cluster members and to coordinate reallocation of a service application if a node running the service application fails.

A method for feature selection based on hierarchical local-region analysis of feature characteristics in a data set of mixed data type is provided. A data space associated with a mixed-type data set is partitioned into a hierarchy of plural local regions. A relationship metric (for example, a similarity correlation metric) is used to evaluate for each local region a relationship measure between input features and a target. One or more relevant features is identified, by using the relationship measure for each local region.

The invention provides a traffic flow prediction system and method, and a model training method. The traffic flow prediction system comprises a first space-time convolution network, a second space-time convolution network, and an output layer, wherein the first space-time convolution network is used for generating a first space-time feature vector according to the graph structure data; the secondspace-time convolution network is used for generating a second space-time feature vector according to the graph structure data and the first space-time feature vector; and the output layer is used forgenerating a prediction value according to the second spatial-temporal feature vector. In the present invention, the traffic flow prediction system processes the graph structure data; and on the premise of ensuring the time attribute of the traffic data, the graph structure data gives the spatial attribute to the traffic data, and the spatial-temporal dependence relationship is obtained by superposing the two spatial-temporal convolutional networks, so that the traffic flow prediction system provided by the invention truly realizes prediction of the traffic flow by combining the spatial feature and the temporal feature of the traffic data.

The invention discloses a geographic grid-based government affair information resource integration method. The method comprises the steps of performing multilevel geographic grid division; performing spatialization processing of government affair information resources; performing time-space coherence processing of the government affair information resources; and performing information integration of multi-scale geographic grids. By fully utilizing a geographic grid division technology, a grid coding method, a text word segmentation and extraction method and a spatial statistical analysis technology, the fusion of government affair information and space information is realized; deep integration and application of the government affair information resources are performed; and grid analysis of single type of data is upgraded to grid internal integration analysis of government affair information resources of multiple types and multiple scales, so that comprehensive government affair data space distribution, comparison and associative analysis can be carried out in a specified region. The information extraction and resource integration can be quickly realized in regional planning and emergency of governments.

The present invention relates to a cryptosystem. A keystream table [Ks] is a virtual data space. Every data of 1 byte in a secondary ciphertext E2 provides a vector directional component IR. The data Ks (IR) in the keystream table [Ks] designated by the directional component IR of the vector is recognized as the quantitative component of the vector. By handling a secondary ciphertext E2 of 1 byte as the address in the keystream table [Ks], the secondary ciphertext E2 can be recognized as the directional component of the vector. A logical operation for the data Ks (IR) is performed, and the internal vector data V is sequentially replaced every 1 byte. An exclusive OR operation is performed between the internal vector data V and the primary ciphertext E1 for generating a secondary ciphertext E2.

The invention relates to a digital twin model correction method based on a deep neural network, and the method comprises the steps: S1, arranging a sensor, and obtaining the data collected by the sensor; s2, constructing a physical data space based on the data collected by the sensor; s3, constructing a virtual data space through simulation modeling based on the data collected by the sensor as a boundary condition; s4, comparing the virtual data space with the physical data space, judging whether the error exceeds a threshold value or not, if so, performing error learning correction by utilizing a deep neural network and executing the step S5, and otherwise, executing the step S5; and S5, extracting feature data of the physical data space and the virtual data space to correct the digital twin model. Compared with the prior art, the method has the advantages of high model consistency of the virtual space and the physical space and the like.

A computer facilitates multiple parameters data analysis by special visualization and navigation methods. Data to be analyzed is loaded from an external source the computer displays the data in response to user input using a variety of methods including data tables, slices of data spaces, hierarchically navigated data spaces, dynamic slice tables, filters, sorting, color-mapping, numerical operations, and other methods. Data and inputs are shared among multiple users for collaborative analysis.

A genealogy registry system includes a central server database and a central server. The central server database includes surname workspaces for storing genealogical data in lineage-linked form, a submission link space for making and storing links between data in the data spaces, and a third-party link space for making and storing links between the data spaces. The central server includes a surname cooperation manager to manage cooperation between researchers researching genealogy for the same surname, a unique ID generator to generate a unique ID for any individual being researched, a visible data selector to allow access to a subgroup of data on the central server database, and a workstation manager to manage transmission of data to the central server database from workstations where data are assembled relating to a particular surname. The workstations may assemble data by extracting, indexing, sorting and linking information from source documents for the surname.

The invention discloses a dynamic grid optimization-based LOF (Local Outlier Factor) clustering data anomaly point detection method and detection system. The detection method comprises the following steps: 1, obtaining an optimal unit grid vector Mopt according to an initial unit grid vector M0 and a growth vector delta p; 2, dividing data space into a dense region Rd, a sparse region Rs and a transition region Rt according to the optimal unit grid vector Mopt; 3. dividing all grids in the transition region Rt, which is obtained in the step 2, into dense region grids G'd and sparse region grids G's according to grid periphery density ratio vectors F, and adding the sparse region grids G's into the sparse region Rs to form a sparse region Regions of the data space; and 4, applying an LOF algorithm to detect anomaly points of the sparse region Regions of the data space. According to the method, the operation data amount of the LOF algorithm is reduced through the dynamic grids, and the computation time of the LOF algorithm is greatly reduced.

The invention relates to an electric energy quality steady-state index prediction method based on a chaos theory. The method comprises the following steps that: firstly, collecting electric energy quality steady-state index data; preprocessing collected electric energy quality steady-state index historical monitoring data, and storing processed data in a database after data is normalized, wherein preprocessing comprises denoising and missing value processing; according to the chaos theory, adopting a C-C method to solve optimal time delay Td and an optimal embedded dimension md for processed electric energy quality steady-state index time data, and carrying out phase space reconstruction to obtain one group of new multidimensional data space; on the basis of a least square support vector machine model, training the reconstructed data space to obtain an optimal prediction model; and utilizing the trained least square support vector machine model to predict the electric energy quality steady-state index to obtain prediction output. By use of the method, the problems that existing electric energy quality steady-state index prediction accuracy is low and the like are solved.

The invention relates to the technical field of telematics, and provides a telematics network node screening and accessibility routing construction method based on a self-encoding network. The entire routing mechanism comprises data preprocessing, self-encoding network training and node screening algorithm realization. The self-encoding network can provide a high-dimensional continuous data space and bidirectional mapping of a low-dimensional nested structure. The self-encoding network can be used to excavate and extract the related characteristics of node information in a large-scale road transport network. Dimension lowering is carried out on original information. The amount of data in a data transmission process is reduced. An effective way is provided for screening key nodes in the network. According to the invention, a great node screening method is provided for a highway scene, and the network performance is effectively improved.

A method, apparatus and program product are provided for performing a query of a database. A database query is received, which includes first and second operations respectively configured to generate first and second disjoint results sets from a dataspace. The database query is analyzed to identify a set of attributes from the dataspace that are used by at least one of the first and second operations in the database query. During execution of the database query, a plurality of records from the dataspace is iteratively processed in a single pass, including, for each of the plurality of records, processing such record by retrieving the plurality of attributes for such record from the dataspace and performing each of the first and second operations on the record using the retrieved attributes for such record to build the first and second disjoint results sets.

The invention discloses an underground pipeline intelligent detection robot and an underground pipeline intelligent detection method. The underground pipeline intelligent detection robot comprises a mobile robot main body and a plurality of sensors. The underground pipeline intelligent detection method disclosed by the invention comprises the steps of: firstly calibrating relative positions and posture information between the sensors and the sensors and between the sensors and the mobile robot main body; then causing the mobile robot main body to move autonomously in a pipeline space, and obtaining, by the sensors, data in real time; calculating a precise position of the mobile robot main body in a data collection movement process; calculating data spatial positions of the sensors according to the position of the mobile robot main body and the relative positions and posture information of the sensors, and registering and fusing the data of different sensors to obtain fused multi-sourcespace data of the pipeline space; and finally intelligently identifying and extracting a geometrical shape and attribute status information of a pipeline from the fused multi-source sensor data, andmarking spatial positions for these information. The underground pipeline intelligent detection robot disclosed by the invention realizes automatic collection of underground pipeline status detectiondata and intelligent identification and extraction process of pipeline status information.

A system and method for mapping parameter data acquired by a robot mapping system is disclosed. Parameter data characterizing the environment is collected while the robot localizes itself within the environment using landmarks. Parameter data is recorded in a plurality of local grids, i.e., sub-maps associated with the robot position and orientation when the data was collected. The robot is configured to generate new grids or reuse existing grids depending on the robot's current pose, the pose associated with other grids, and the uncertainty of these relative pose estimates. The pose estimates associated with the grids are updated over time as the robot refines its estimates of the locations of landmarks from which determines its pose in the environment. Occupancy maps or other global parameter maps may be generated by rendering local grids into a comprehensive map indicating the parameter data in a global reference frame extending the dimensions of the environment.

A data synchronization method establishes a communication channel between a terminal device and a cloud server through a network. The terminal device accesses the cloud server through the communication channel, and registers a private data space in a data center of the cloud server. Then the method transmits data of the terminal device to the private data space through the communication channel according to user requirements, to back up the data of the terminal device to the private data space.

The invention discloses an electrocardiosignal detection device and analysis method based on a joint neural network. The method comprises the following steps: firstly, building a joint neural networkalgorithm on a machine learning server, and training a model; aiming at preprocessed ECG data, enabling the model to extract data spatial features and acquire a spatial classification probability through a residual neural network module; extracting time sequence features of the data on a dimensionality-reduced spatial feature map through a bidirectional long-short-term memory neural network and anattention module, and acquiring a time sequence classification probability; finally, fusing the two classification probabilities to obtain a detection result; acquiring a small amount of ECG data ofa patient from a wearable device, performing manual marking, inputting the ECG data into the machine learning server, performing fine-tuning on the model, and deploying the final model to an intelligent mobile device; and finally, realizing real-time anomaly detection through wireless transmission of the wearable device and the intelligent mobile device. The invention develops the wearable devicefor electrocardiosignal acquisition and the real-time detection, and provides an effective technical means for auxiliary diagnosis of heart diseases.

The invention discloses a method and a device for maintaining the data consistency of a thin provisioning database. The method comprises the following steps: receiving a data space revision instruction; according to the revision instruction, revising logical volume space mapping information in a mapping tree, and revising a metadata version number in a super block; and storing the metadata version number in the super block, the revised logical volume space mapping information and the type information of the revision instruction into a log space. Obviously, in the embodiment of the invention, when the logical volume space mapping information in the mapping tree is revised according to the revision instruction, the metadata version number in the super block, the revised logical volume space mapping information and the type information of the revision instruction are simultaneously backed up to the log space, data is recovered through backed up log data in case the system powers down, the problem of metadata and data loss due to system power failure can be solved, a log storage data size in the storage pool is extremely small, and influence on system performance is low.

The invention discloses a construction method of an urban geographic information data warehouse. Original spatial data are processed when missing data, repeating data and abnormal data exist, according to spatial characteristics of time type data, space type data and time and space mixed type data, all record values minus a record average value by a mean and sigma method and are divided by a record value standard deviation to obtain processed data; a model based on spatial characteristics according to the processed data is built to obtain an urban geographic information data warehouse; and data changes in the original spatial data are monitored, data are extracted and updated according to a design feature object data table, when a preset time is up, the updated data are added into the urban geographic information data warehouse. The construction method of the urban geographic information data warehouse has the advantages of being capable of improving the query, analysis and monitoring efficiency and reducing the data extraction cost.

The invention relates to an outdoor body-building device which has simple structure and convenient operation, can guide an exerciser to exercise scientifically through storing, reading and analyzing motion data, and is provided with a data storing and reading devices, and a use method thereof. The outdoor body-building device adopts the technical proposal that the outdoor body-building device comprises a fixed column and a movable oscillating arm, and is characterized in that a data acquisition, storage and record device and a data reading device are arranged on the outdoor body-building device. The use method of the outdoor body-building device provided with the data storing and reading devices is characterized in that data in the memorizer of the outdoor body-building device is transferred to other storing devices such as a local data server system and an interconnecting network data space, and then is analyzed and fed back.

The invention discloses a farmland contract management ownership one-map service system and a realization method thereof, thereby realizing integrated processing and unified management on multisource heterogeneous data such as basic geographic data, contract block space data, contract block ownership data, service special data and file data. A Silverlight for ArcGIS API is used for realizing service integration on geoprocessing, map operation, service data management and service function operation, each type of operation is converted into a loose coupling request, needed service is queried and executed by a registration center, binding of the request operation and the service and calling of the data are realized, the contract block space positioning function is used for realizing one-map representation and analysis on the contract block ownership data, space statistics and analysis data, the service data and the like, and a new farmland contract management ownership management mode is realized. The informatization level for the rural land contract management integrated service can be enhanced, and technical supports are provided for rural land resource intelligent management and scientific decision making.