92 results about "Pooling data" patented technology

A consumer data credit card or debit card or personal computer wallet linked to an Internet master catalogue of products. The consumer data card empowers the small credit card or debit cardholder against retailers, by mining and analyzing their consumer profile data, for anticipated purchases, and then leveraging the consumer's offers on specific products, for group discounts. It uses a new business method for pooling, options, and brokering dispersals of consumer's offers to retailers; via the Internet for price discounts. The consumer's card is encrypted as an origin code, for privacy, of their personal consumer profile data being dispersed. The master catalogue is linked via the Internet to remote computer display kiosks, at shopping and information stations, allowing for in-store display of discounts; geared to specific cardholders, and to facilitate in store shopping and checkout; by the personal computer wallet and allowing worldwide virtual shopping.

The present invention relates to a method and system for measuring investment performance (e.g., total portfolio performance of individuals). In one example (which example is intended to be illustrative and not restrictive), the method and system may be used for measuring investment performance of personal pension portfolios. In another example (which example is intended to be illustrative and not restrictive), the method and system may provide for measuring performance of an investment portfolio held by an investor, comprising: providing first information indicating how the investment portfolio has performed over one or more predetermined periods of time; and providing second information indicating how investment portfolios of the investor's peer group have performed (e.g., on average) over the predetermined period(s) of time. In other examples (which examples are intended to be illustrative and not restrictive), the present invention may be used to pool data across employers in relation to pension funds and / or to pool data across wealth management firms or trust companies in relation to underlying client accounts. In another example (which example is intended to be illustrative and not restrictive), simplified portfolio level reporting and comparison of asset allocation strategies may be implemented by the present invention via the categorization of essentially all available financial products into a relatively small number of asset classes (e.g., between about 15 and 20 asset classes).

A system and method of motion analysis, fall detection, and fall prediction using machine learning and classifiers. A wearable motion sensor for collecting and transmitting motion data for use in a fall prediction model using features and parameters to classify the motion data and notify when a fall is emergent. Using machine learning, the fall prediction model can be created, implemented, evaluated, and it can evolve over time with additional data. The system and method can use individual data or pool data from various individuals for use in fall prediction.

A computer system and related computer-implemented methods are designed and configured to store and deliver, upon request, information related to a plurality of asset-backed security pools, and to execute transactions between one or more parties relating to at least one of the plurality of asset backed security pools. The computer system generally comprises a computer including a computer usable medium storing a computer readable program and a network interface that includes software modules and a data storage system in communication with the computer via the network interface, the data storage system storing information relating to the plurality of asset backed securities, and account information related to at least the one or more parties. The computer is operative with the computer readable program to provide information related to a plurality of asset-backed security pools to at least one of the parties, enable the at least one party to select one or more asset-backed security pools for inclusion in a specified pool, provide aggregate pool data related to the selected specified pool, provide information related to the selected specified pool to at least one other party, receive pricing information from the at least one other party, and execute a trade for the asset-backed security pools in the specified pool.

The embodiment of the invention discloses a data summarization method and device based on a tree block chain network, equipment and a medium. The method comprises: when it is detected that a pre-deployed summary contract is triggered, the node attribute of a tree node corresponding to a target block chain network where the tree node is located in a tree hierarchical structure is acquired; processing the data in the target block chain according to a data summarization strategy matched with the node attribute to form target summarized data; and if it is determined that the node attribute is a non-root node, sending the target summarized data to a parent block chain network of the target block chain network through a cross-chain protocol. According to the technical scheme provided by the embodiment of the invention, based on cross-chain interaction between parent and child block chain networks and a tree layering technology, the performance and storage bottleneck of a traditional single-chain structure are broken through, the problem of information islands incompatible with each other between different block chain networks is solved, and extensible application scenarios such as multi-service chains and polymorphic chains can be supported.

A method and related computer system that allow recalling at least one memory pooling profile, in response to user input, and pooling data processing system memory devices in response to the at least one memory pooling profile.

The invention discloses a wide-net fracturing method for shale gas exploitation. The wide-net fracturing method comprises the following steps: according to seismic data, geological data, logging data, gas pool data and rock mechanics data, structuring a geological model and establishing a rock seepage-stress-damage coupling model; according to the requirement of the rock seepage-stress-damage coupling model, modeling a pre-fracturing initial stress field to obtain a stress field model; according to the geological model and the stress field model, obtaining a gas pool numerical model of a research object, and coupling the geological model, the gas pool numerical model and the rock seepage-stress-damage coupling model to obtain a geological model-numerical model-FSD coupling model; according to the geological model-numerical model-FSD coupling model, confirming perforation parameters, service well sections and gas production profiles of a shale gas horizontal well; according to the confirmed perforation parameters, service well sections and gas production profiles, carrying out wide-net crack fracturing. According to the method, perforation and balanced gas production can be matched and optimized, all perforation clusters are subjected to liquid inlet to form effective cracks, and the yield of shale gas is improved.

The invention discloses a big data platform-based power data processing method. The method comprises the steps of obtaining application data in a power network; performing collection processing on the application data according to a preset mode, and after a data form is formed, sending and storing the processed collected data in a big data platform matched with the power network; in the big data platform, performing visualization processing on the collected data and performing real-time display; performing associative condition analysis on the collected data by adopting a clustering algorithm, and finding out key power nodes in the power network; and analyzing historical fault data in the power nodes by adopting an associative rule method, performing assessment and continuous tracking on the power nodes, and when operation of a node has a fault, performing prediction to obtain fault conditions of other nodes. According to the big data platform-based power data processing method, the power data collection and utilization efficiency can be improved and the fault point prediction can be accurately realized.

Described are computer-based methods and apparatuses, including computer program products, for removing redundant data from a storage system. In one example, a data delineation process delineates data targeted for de-duplication into regions using a plurality of markers. The de-duplication system determines which of these regions should be subject to further de-duplication processing by comparing metadata representing the regions to metadata representing regions of a reference data set. The de-duplication system identifies an area of data that incorporates the regions that should be subject to further de-duplication processing and de-duplicates this area with reference to a corresponding area within the reference data set.

The invention discloses a cloud resource pool data security detection method comprising the steps of acquiring established sensitive data; acquiring export data drained from a cloud resource pool; scanning and recognizing the sensitive data in the export data; building a sensitive data life cycle, and hierarchically managing the sensitive data; capturing a host virtual machine of the sensitive data in a cloud resource environment, and monitoring traffic of the virtual machine; and analyzing the sensitive data and abnormal operation behaviors of the host virtual machine of the sensitive data, and giving an alarm. In addition, the invention also provides a cloud resource pool sensitive data security detection system comprising a control module, a collection module, a processing module, a supervising module and an auditing module. By using the method provided by the invention, a full life cycle security control on links such as building, generation, utilization and destroying of various kinds of sensitive data during business data calling and transmission, and business interaction and migration processes under the cloud computing environment is achieved, and thus abnormal and illegal behaviors can be found.

An embodiment of the invention discloses a method and a device for monitoring a business server and belongs to the field of monitoring. The method includes that corresponding data acquiring components of various areas transmit business monitoring data to data gathering components arranged on the business server, the data gathering components generate monitoring information by the received business monitoring data, the business server transmits the generated monitoring information to a monitoring server, and the monitoring server stores the received monitoring information, calculates the monitoring information by grades according to statistical time intervals and generates gathering data to display. Various acquiring modules of the monitoring system are deployed in various areas to acquire data centrally, and according to analytic statistics of the monitoring data subjected to calculated by grades and gathered and according to corresponding monitoring commands of automatic prediction of the gather data, monitoring strategies of the various acquiring modules are adjusted again, and accordingly, an adaptive monitoring system is formed.

The invention discloses a method for dynamically allocating on-chip heterogeneous memory resources by utilizing a virtual memory mechanism, comprising the following steps of: analyzing the time and space distribution of data sections (comprising global data, stack data, pile data and constant pool data) with data Cache conflicts caused by high frequency by adopting a time slot analyzing method, then obtaining the time slot conflict diagram of the data Cache by the distribution and carrying out mathematical abstraction for the time slot conflict diagram. According to the target function of energy consumption and the target function of performance, a program part to be optimized is selected by using an integer nonlinear programming method and then is dynamically remapped in an on-chip data SPM (Scratch-pad Memory) by utilizing clock interrupt, and thereby, the extra memory access caused by the data Cache conflicts can be avoided. The method can reduce the energy consumption of a system and enhance the performance of the system due to the full utilization of on-chip heterogeneous memory.

Today's cloud software, especially cloud management software, faces a complex, distributed, cross platform environment with extremely diversified software components. Cloud Connection Pool (CCP) is a technique to obtain a connection in such an environment and is more complex than a traditional connection pool. CCP allows requesting components to establish connections to target components. CCP uses cloud mapping data that associates cloud components with each other and stores pool data that identifies connection pools for components (or “managing components”) that manage target components. In response to a request for a connection from a requesting component, the CCP determines a managing component that is associated with the requested target component and identifies (or creates) a connection pool that is associated with the managing component. The CCP then retrieves a connection from the connection pool and returns the connection to the requesting component.

The invention discloses a method and a system for centralized early warning and monitoring of a data center computer room. The method collects the power, environment, security and host running monitoring quantities of the computer room, and converges them to the upper platform for monitoring and early warning. A system functional architecture is divided into: data awareness layer, convergence layer, analysis layer and service layer. Hardware for field equipment, local management station, superior management center are provided. Software for the server software, client software, WEB remote browser. In the monitoring, the electric quantity meter, water leakage detector, temperature and humidity sensor, optical fiber sensor and so on collect the data; The data are transmitted to the collectorthrough RS232 and RS485. The collector uploads the aggregated data to the local monitoring server. The local monitoring server stores the monitoring data uniformly, and analyzes the monitoring results and alarms the abnormal information. The local monitoring server uploads the monitoring results to the superior monitoring server, and the superior monitoring server aggregates the data results of multiple computer rooms, and carries out remote browsing and management at the same time.

Systems and methods for displaying an image stream captured by an in vivo imaging device are presented. A method comprises receiving a stream of image frames captured by the in vivo device, each frame comprising a plurality of pixels. A summarized image presentation comprising summarized data elements may be generated, each summarized data element corresponding to at least one frame from the image stream. Summarized data elements are generated by ordering pixels of one or more image frames according to a first sorting parameter, sampling the ordered pixels according to a predetermined sampling scheme to acquire a subset of ordered pixels; and combining or appending sampled pixels to form a summarized data element. The summarized data elements are combined to form a summarized image presentation.

The invention provides a system basing on network for the processing of the data of a client protocol capital pool and a method thereof. The system includes a system host, external financial network and a transaction terminal which is linked with the system host through the external financial network and sends a transaction request to the system host through the external financial network. The system host includes a data storing device, a data processing device and a plurality of interfaces. The data processing device receives the transaction request of the transaction terminal through the interfaces, verifies the qualification and the authority of a user, visits the data storing device for the processing of the transaction request and returns the processing result to the transaction terminal through the interfaces and the external financial network. The data storing device includes at least one capital pool account unit which includes a capital pool account and at least two member accounts which are corresponding to the capital pool account through the protocol. The data processing device converges the capital of member accounts through the capital poll account and distributes profit amount to the member accounts through the protocol.

The invention relates to a structured process management system and management method, which can track data status at any time and keep history records by using an electronic process, and the approvalprocess is transparent and open. The network is used to achieve automatic distribution of process tasks and to achieve the effect that the same network is signed in different places in the same network. The system and method improve examination and approval efficiency and save cost. By recording the approval records of drawings and documents and keeping the mark of annotation, the system and method facilitate the return and modification, and provide intuitive opinions and information for data modification and adjustment. Details and other reports can be automatically summarized by the system,and the original 2-day workload is expected to be completed in 2 minutes in the system. The system automatically aggregates the data in the database, and the accuracy is greatly improved. The systemoutputs summary information in the template format required by the enterprise.

A bone deformation analysis method based on artificial intelligence divides the material model into a training set, a verification set and a test set according to the given proportion. The pre-training basic model is obtained, and the image is transformed into high-dimensional feature vector by feature extractor, which is used as the input of the pre-training basic model for transfer learning training. The verification set is used for local correlation, weight sharing, multi-core convolution and pooling data dimension reduction of the pre-training basic model. The convolution neural network performs reverse propagation layer by layer from the last layer to adjust the weights, the learned features will be converted into probability results for classification and recognition, and in the convolution neural network of all the connected layers to connect all the features, the output value will be sent to the classifier; the pre-training basic model is applied to the verification set to getthe output of the model, and the performance of the model is tested by inputting the test set data into the trained model with the correct rate. The invention increases the correctness rate of the bone deformation analysis result and reduces the human cost.

This invention relates to a measurement method for the flow direction and volumes of data of multiple source inbound and download P2P network including: the inbound or download terminals calculate the sources and places to go of specific file packets to report the statistic reports to the central server to sum up the data and finishes the correction and feeds back the data.

The invention relates to an intelligent management system for kitchen garbage trucks based on the Internet of Things, including garbage trucks for transporting garbage and an information control system for supervising the working conditions of the garbage trucks; the information control system includes a data acquisition device, a data acquisition Terminal, intelligent background analysis system and client equipment; the data collection device is used to collect information on the working conditions of garbage trucks and the garbage they carry; the data collection terminal is used to collect and summarize the data information obtained by the data collection device; the intelligent The background analysis system is used to analyze and process the data information sent by the data collection terminal. The intelligent management system of the kitchen garbage truck reasonably designs and plans the sanitation operation management mode, improves the sanitation operation quality, and reduces the sanitation operation cost. At the same time, the data collected by a large number of smart sensors is processed and analyzed, and then the potential commercial value of sanitation data is deeply excavated. The market prospect is promising.

The technical scheme of the invention comprises a storage battery pack fault diagnosis system based on big data. The system comprises an interpreter which is used for human-computer interaction; an inference machine which is used for analyzing a storage battery pack fault and performing maintenance; an expert model component which is used for storing storage battery pack configuration and maintenance recommendations; a database which is used for storing historical and real-time data; and an automatic learning machine which is used for automatically learning fault characteristics. The system also comprises a storage battery pack fault diagnosis method based on the big data. The method comprises the steps that instruction transmission is performed on a human-computer interface, the inference machine performs data access and analysis according to instructions, the fault is stored if the fault is a new fault, and the interpreter receives the result and displays the result to a user. The beneficial effects of the storage battery pack fault diagnosis system and method based on the big data are that judgment and analysis are performed according to a model knowledge base by adopting an intelligent summery data, degree of expertise of maintenance personnel is reduced, efficiency is enhanced and thus the system and the method are convenient and rapid.

The invention discloses a video buffering determination method and device. The method comprises that play log data for recording the total amount of data played by a client and buffer log data for recording the total amount of data cached in a preset memory by the client are recorded; buffer pool data for indicting the total amount of residual data cached in the preset memory by the client is determined according to the play log data and buffer log data; and whether the client is in a buffering state is determined according to the buffer pool data, and the client is stopped when playing the video in the buffering state. The technical problem that that whether the client is buffering when loading the video cannot be detected accurately in the related art is solved.

The invention provides a condition-guided adversarial generation test method and system for a deep neural network, and the method comprises the steps: collecting a needed data set and a correspondinglabel, carrying out the grouping of the needed data set and the corresponding label, obtaining a needed batch processing pool data set, selecting a seed set through employing a heuristic algorithm, and carrying out the condition-guided adversarial generation training set. The target of the test generation process is to maximize the network coverage rate of the test suite, obtain a generated picture set and input the picture set into a corresponding network as a training set for testing, and if the generated picture set enables the coverage rate of the original network to be improved, the pictures are added into a batch processing pool as a batch. According to the method, the condition-guided adversarial generation network is used, the labels of the pictures are used as conditions to generate the pictures, and the generation scale can be reduced. The test case is confronted and generated under the guidance of the coverage rate, the neuron coverage rate of a given network or system can be maximized, and the precision of the deep neural network to be tested is improved.

The invention discloses a method for acquiring network test data. The method includes: acquiring current position information; acquiring network parameters and environment parameters of a current position which serve as the network test data corresponding to the current position information; and sending the current position information and the network test data corresponding to the current position information to a server to be stored by the server. The method can acquire network parameters and environment parameters of a test position at the same time, provide practical test data for network optimization, improve the accuracy of network test, and only need carry a mobile terminal without carrying a computer for summarizing data, so that body load of an operator can be reduced, and operation is easy; and data transmission can be completed without connecting the computer through a connection line, so that the possibility of data loss during data transmission can be avoided, workload of manual test can be reduced, and unmanned test can be achieved. The invention also discloses a method for implementing the method.

The invention discloses a data processing method based on Oracle. The method comprises the following steps that a) the storage mode, the migration mode and the cleaning mode of data in each table are respectively set by aiming at different data table entities in an Oracle database; b) at least one set table data cleaning mode in the Oracle database is combined for forming data cleaning operation; c) a concrete executing time window is allocated by aiming at the data cleaning operation, and in addition, the dispatching operation execution is carried out in the preset time window; d) according to an automatic operation dispatching execution result, monitoring information of data migration and cleaning is summarized. The data processing method has the advantages that the storage mode, the migration mode and the cleaning mode are respectively set for different data table entities, and the dispatching data cleaning operation realizes the periodization and automation of the data migration and cleaning process, so the data operation workload is reduced, in addition, the zero machine halt time and the zero influence on the application in the migration and cleaning process are realized.

The present invention relates to an intelligent tree transplanter that comprises a rotary support, a structure comprising at least one horizontal hydraulic closed telescopic boom that is driven by and connected to a driving device, wherein there is a multi-way valve assembly, tree-oriented anchor point and infrared horizontal automatic calibration point, wherein there is a ball pool data detector including infrared central contact in the center of the present device; and, a lateral hydraulic telescopic boom that drives the rotary support comprising a number of regolith scrapers, and at least one vertical hydraulic angle rotating shaft connected to a vertical hydraulic telescopic joints are located at the bottom of the device. Vertical hydraulic telescopic joints that are connected to the ball-end horizontal rotating shaft are also located at the bottom of the device.

The present invention relates to a method and system for measuring investment performance (e.g., total portfolio performance of individuals). In one example (which example is intended to be illustrative and not restrictive), the method and system may be used for measuring investment performance of personal pension portfolios. In another example (which example is intended to be illustrative and not restrictive), the method and system may provide for measuring performance of an investment portfolio held by an investor, comprising: providing first information indicating how the investment portfolio has performed over one or more predetermined periods of time; and providing second information indicating how investment portfolios of the investor's peer group have performed (e.g., on average) over the predetermined period(s) of time. In other examples (which examples are intended to be illustrative and not restrictive), the present invention may be used to pool data across employers in relation to pension funds and / or to pool data across wealth management firms or trust companies in relation to underlying client accounts. In another example (which example is intended to be illustrative and not restrictive), simplified portfolio level reporting and comparison of asset allocation strategies may be implemented by the present invention via the categorization of essentially all available financial products into a relatively small number of asset classes (e.g., between about 15 and 20 asset classes).

The invention discloses a storage system of massive unstructured data. The storage system of the massive unstructured data comprises an online storage pool which is composed of high speed storage arrays and achieves real time high speed storage and access of the unstructured data of various terminals or application systems, a near line filing pool which is composed of high-capacity storage arrays and achieves regular filing and backup of online storage pool data, an offline filing pool which is composed of high-capacity tape libraries and achieves regular filing and backup of near line filing pool data, and the various terminals or application systems which produce and actually use devices of the unstructured data. According to the storage system of the massive unstructured data, the invention further discloses a management method of massive unstructured data storage. According to the storage system and the management method of the massive unstructured data, unified space management functions based on the storage pool are provided, petabyte (PB) grade storage capacity and concurrent access of thousands of clients are supported, management of various storage devices is simplified, and cost of the storage systems and capital expenditure are saved at the same time.