806 results about "Data aggregator" patented technology

Improved method of and apparatus for aggregating data elements in multidimensional databases (MDDB). In one aspect of the present invention, the apparatus is realized in the form of a high-performance stand-alone (i.e. external) aggregation server which can be plugged-into conventional OLAP systems to achieve significant improments in system performance. In accordance with the principles of the present invention, the stand-alone aggregation server contains a scalable MDDB and a high-performance aggregation engine that are integrated into the modular architecture of the aggregation server. The stand-alone aggregation server of the present invention can uniformly distribute data elements among a plurality of processors, for balanced loading and processing, and therefore is highly scalable. The stand-alone aggregation server of the present invention can be used to realize (i) an improved MDDB for supporting on-line analytical processing (OLAP) operations, (ii) an improved Internet URL Directory for supporting on-line information searching operations by Web-enabled client machines, as well as (iii) diverse types of MDDB-based systems for supporting real-time control of processes in response to complex states of information reflected in the MDDB. In another aspect of the present invention, the apparatus is integrated within a database management system (DBMS). The improved DBMS can be used to realize achieving a significant increase in system performance (e.g. deceased access/search time), user flexibility and ease of use. The improved DBMS system of the present invention can be used to realize an improved Data Warehouse for supporting on-line analytical processing (OLAP) operations or to realize an improved informational database system, operational database system, or the like.

A machine-to-machine (M2M) gateway (GW) includes reachability, addressing, and repository (RAR) capability. The GW maintains a local mapping table and local device application repository, performs data aggregation, address/name translation, provides event reporting and establishes GW reachability and wake-up time. The GW supports requests from M2M applications or other capabilities within the GW, and from a network and application (N&A) domain RAR. The GW may include an M2M device and M2M gateway management (MDGM) capability that receives management requests for an M2M device and functions as a network proxy. The MDGM accepts and processes requests from the N&A domain on behalf of the M2M device and performs management functions of the M2M device on behalf of the N&A domain. The MDGM may request the N&A domain for permission to interact with the M2M device, initiate an interaction for device management tasks with the M2M device, and report to the N&A domain.

In a system and method for assessing and modifying fatigue, an input device receives current work-rest pattern and/or sleep data from an individual. A data aggregation and processing platform combines the current work-rest pattern and/or sleep data with previous data related to the individual to generate a fatigue assessment result, a diagnostic assessment result, and a corrective intervention result. At least one output display outputs the fatigue assessment result, diagnostic assessment result and corrective intervention result in a user-readable format to a user. The user uses this information to revise the work-rest pattern to reduce or control future fatigue risk.

A system and method for linking information of one user to other users via a data aggregation server is provided. Various security settings govern the linking of information. Various methodologies for initiating a link of PIM data are also provided including automatic linking, targeted linking and requested linking. Implementations utilizing group profiles are also provided.

A system for aggregating and managing PIM data from multiple sources is provided. By aggregating various sources of data, the present system allow for the bridging of networked communities and organizations. Limitations of data aggregation as a result of proprietary and/or protocol concerns are overcome through the development of trusted relationships amongst users of the data aggregation and management system.

Systems and methods are described for implementing blockchain-based content engagement platforms. In several embodiments, the content engagement platform includes a registry service which enables verified content creators to mint Non-Fungible Tokens (NFTs). In many embodiments, media wallet applications enable users to securely store NFTs and/or other tokens on their devices. In a number of embodiments, the media wallet applications collect data concerning media consumed by users and aggregate the media consumption data in a permissioned analytics blockchain. The manner in which the media consumption data is stored can enable users to control permission to access their personal data. In one embodiment, a media wallet is provided that can securely store NFTs, display a user interface through which user instructions concerning data access permissions are received, and cause media consumption data to be written to at least one immutable ledger in conjunction with a set of data access permissions.

A software module referred to as a content manager is provided for loading and maintaining a variety of data and associated metadata in a computer database. The data may be loaded in the form of individual documents that support business preparation or sales presentations where only one copy of each document is stored in the database. The metadata may be loaded in the form of attributes of the documents. A table of users may also be loaded in the database including a geographic or business division for each user. A role is assigned to the user, thereby granting access privileges to certain views of the database. An online user interface software module is also provided for remote access to the documents. Searches may be conducted by a variety of attributes. Documents may be associated into visual presentations or multiple presentations merged into one presentation. Three types of presentations private, shared, and global are supported. The user may also print, view, or download, email, post to website, or fax the documents and presentations.

A system and method is provided for event data collection and processing in a multimedia network. The server can include an event collection manager that receives messages containing event data from plural settop devices. Upon message receipt, the event collection manager accesses a database to identify a data aggregation group for the set top that sent the message and anonymously stores the event data in association with the data aggregation group. The data aggregation group can be associated with a policy that specifies anonymous storage of event data based on event type. For example, the data aggregation policy may specify storage of individual event types with personal identification information. Conversely, the aggregation policy may specify anonymous storage of individual event types anonymously excluding personal identification information. Aggregate reports can be generated from the stored event data by aggregation group.

A method for facilitating efficient automated acquisition of data from computer-based network data sources, such as Internet websites, by means of one or more data aggregation servers and a distributed network of one or more client computers (each operated by and/or on behalf of one or more end users), that does not trigger "trespass on chattels" protection, violate copyright protection of database compilations of non-copyright data or allow data sources to easily detect automated data acquisition. In a specific embodiment, each user runs a java applet within their Internet browser that frequently polls a server connected to a database storing the user's preferences. Based on the user's preferences and other data stored in the database, the server generates requests (each to be issued by the client machine to a particular website) and tells the user's applet to issue those requests. Response(s) (or a processed version of those responses) returned to the server may be used by the client machine and/or returned to the server where they may be parsed, stored in the database, made available to the user (and, potentially, other users) and may trigger the server to generate follow-on requests. This method has many potential uses, including, but certainly not limited to, the aggregation of real estate data from numerous websites for homebuyers.

A turbine includes a turbine blade, a plurality of sensors, a wireless sensor module, a data aggregator, and a blade pitch control unit. The plurality of sensors are distributed in a plurality of locations on the turbine blade suitable for determining a moment of the turbine blade. The sensor module is configured to transmit data to the data aggregator to determine the moment. The data aggregator is configured to provide an output to the blade pitch control unit. The blade pitch control unit is configured to adjust pitch of the turbine blade based on the moment.

An industrial control network security protection monitoring system performs real-time prevention and protection on industrial equipment of the industrial control network, and realizes network security protection monitoring through an acquisition layer, an analysis layer, a function layer and a display layer based on an integrated application platform, wherein the display layer mainly displays security trend, system topology and industrial control panorama; the acquisition layer comprises the acquisition of network data traffic and the recording of industrial control network operations; the analysis layer mainly comprises data processing, data association, data aggregation, data modeling, and integrated interfaces of other function modules; and the function layer mainly comprises monitoring audit, intrusion prevention, vulnerability mining, and data isolation. The system provided by the invention protects and protects industrial equipment in real time through the intelligent protectiontechnology of the industrial network control system, monitors and audits the data information of the entire industrial control network through the monitoring and auditing technology to prevent the industrial control network from being attacked externally, and can also have the vulnerability mining function of the industrial control network to escort the entire industrial control network security.

An electronic, real-time system performs maneuver recognition of vehicles based on dynamically measured telematics data, particularly the sensory data of smartphone sensors, and more particularly data from the accelerometer sensor and the global positioning system (GPS) sensor and/or the gyroscope sensor of a smartphone. The axes of the smartphone may be moving independently relative to the axes of the vehicle and thus do not need to be aligned with the axes of the vehicle. Driver behaviors and operational parameters are automatically measured and discriminated, based on automatically individuated and measured driver maneuvers within various measured to vehicle trajectories, and an output signal is generated based upon derived risk measure parameters and/or crash attitude measure parameters. The system can use score-driven, especially risk-score driven, operations associated with motor vehicles or transportation modes for passengers or goods, and reliant on a dynamic, telematics-based data aggregation and dynamically measured driving maneuvers, respectively.

A system and method for publishing information to a community of users is disclosed. Published information is inclusive of, for example, calendar data, blog data and photographs. Communities may be defined by PIM data or automatically generated by a data aggregation server in response to a user-defined rubric. Published information may be provided to a recipient or in conjunction with a notification delivered to the recipient. Published data may be subject to certain read/write limitations.

Improved techniques are disclosed for processing data stream queries wherein a data stream is obtained, a set of aggregate queries to be executed on the data stream is obtained, and a query plan for executing the set of aggregate queries on the data stream is generated. In a first method, the generated query plan includes generating at least one intermediate aggregate query, wherein the intermediate aggregate query combines a subset of aggregate queries from the set of aggregate queries so as to pre-aggregate data from the data stream prior to execution of the subset of aggregate queries such that the generated query plan is optimized for computational expense based on a given cost model. In a second method, the generated query plan includes identifying similar filters in two or more aggregate queries of the set of aggregate queries and combining the similar filters into a single filter such that the single filter is usable to pre-filter data input to the two or more aggregate queries.

Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . . , 435) and/or an in-car interactive device (441, . . . , 445), wherein the telematics devices (411, . . . , 415) capture usage-based (31) and/or user-based (32) and/or operational (33) telematics data (3) of the motor vehicle (41, . . . , 45) and/or user (321, 322, 323). In response to an emitted shadow request (109) individualized risk-transfer profiles (114) based upon the dynamically generated variable scoring parameters (1011, . . . , 1013) are transmitted from a first risk-transfer systems (11) to the corresponding motor vehicle (41, . . . , 45) and issued by means of a user unit (461, . . . , 465) of the motor vehicle (41, . . . , 45) for selection by the driver of the motor vehicles (41, . . . , 45). In return of issuing an individualized risk-transfer profile (114) over said user unit (461, . . . , 465), payment-transfer parameters are transmitted from the first risk-transfer system (11) to the provider of the telematics-based system (1).

A system and method for data aggregation and content management are disclosed. In addition, the data aggregation and content management service provided is a hosted or managed service that operates in a location distal from a plurality of client sites. The data aggregation and content management may be provided by a Web-based application. The client sites may be located throughout a geographical region, country, or across the world. The data is pulled or extracted from the client sites and then "standardized" according to predetermined requirements for usage either alone or as a conglomerate of standardized data. The data aggregation and content management may be controlled, to some degree, by the clients via an Internet-based control system. The client or customer can validate and/or monitor the processing of the data as it takes place via the Internet-based control system.

Information is obtained from the Internet is combined with processed and rated information from social networking services by a structured and social data aggregator providing highly relevant search results. In accordance with an embodiment of the present invention, there is provided a product information crawler, which crawls the Internet in search of web pages relevant to a requested subject or product. The product information crawler conveys captured web pages to a structured data extractor, which extracts product information. A social networking crawler crawls social networking services in search of social network information to the requested subject or product. The processed product information and processed social network information is conveyed to an information aggregator, which merges the information and stores it in a data store that can be queried by a user. A user would then be able conduct a single search about a subject or product, and retrieve highly relevant structured product information enhanced by social networking information.

A private stream aggregation (PSA) system contributes a user's data to a data aggregator without compromising the user's privacy. The system can begin by determining a private key for a local user in a set of users, wherein the sum of the private keys associated with the set of users and the data aggregator is equal to zero. The system also selects a set of data values associated with the local user. Then, the system encrypts individual data values in the set based in part on the private key to produce a set of encrypted data values, thereby allowing the data aggregator to decrypt an aggregate value across the set of users without decrypting individual data values associated with the set of users, and without interacting with the set of users while decrypting the aggregate value. The system also sends the set of encrypted data values to the data aggregator.

A computer implemented method of adjusting a monitoring system having data collection nodes with instances of templates for collecting data according to data collection rules includes receiving a data propagation path specifying a hierarchy for at least a portion of the templates, the hierarchy specifying a child template, parent templates for the child template, and an order for the parent templates. The method also includes specifying an event data collection rule for the first child template and configuring parent data collection rules for the parent templates accordingly. The parent data collection rules include a data retrieval rule for retrieving event data associated with the event data collection rule or a data aggregation rule for combining the event data associated with the event data collection rule and multiple instances of the child template. The method also includes updating the instances in the data collection nodes.

A media and content distribution system comprising a global scheduling system (GSS) configured to collect data and content, an Internet network, and one or more Regional Content Delivery Systems (RCDSs) is disclosed. The one or more RCDSs are configured to receive data and content and communicate with the GSS via the Internet network. The one or more RCDSs further comprise a regional content distributor/local data aggregator configured to receive data and content from the GSS, a cellular or wireless network, one or more remote display units (RDU) configured to display the data and content, and a data unit configured to acquire information related to activity at the one or more RDUs. The data unit is in communication with at least one of the one or more RDUs. The one or more RDUs are in communication with the regional content distributor/local data aggregator via the cellular or wireless network.

A chunk format for a large-scale, high data throughput router includes a preamble that allows each individual chunk to have clock and data recovery performed before the chunk data is retrieved. The format includes a chunk header that contains information specific to the entire chunk. A chunk according to the present format can contain multiple packet segments, with each segment having its own packet header for packet-specific information. The format provides for a scrambler seed which allows scrambling the data to achieve a favorable zero and one balance as well as minimal run lengths. There are forward error correction (FEC) bytes as well as a chunk cyclical redundancy check (CRC) to detect and/or correct any errors and also to insure a high degree of data and control integrity. Advantageously, a framing symbol inserted into the chunk format itself allows the receiving circuitry to identify or locate a particular chunk format. “Break Bytes” and “Make Bytes” fields located at the beginning of a chunk preamble precondition an optical receiver to a proper state before the actual chunk arrives at the receiver.

Disclosed herein is a computer implemented method and system that securely aggregates and manages user related data in an online environment while maintaining privacy of a user. The user provides access credentials at a client device for each of multiple data sources. The access credentials are transformed to an unreadable format at the client device using a public key transmitted by a web server. The transformed access credentials in the unreadable format are stored locally on the client device. A communicating software agent on the client device communicates the stored access credentials to the web server. The web server transforms the communicated access credentials to a readable format using a private key and retrieves the user related data by accessing the data sources using the access credentials in the readable format. The web server presents the retrieved user related data to the user in one or more presentation modes.

In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

Provided are a sensor network structure, a data aggregation method, and a clustering method for efficient multi-target tracking. The multi-target tracking may be efficiently performed in a heterogeneous sensor network by combining clustering methods and adaptively varying the clustering methods. As such, an energy consumption problem in a sensor network may be reduced, and a data transmission delay problem or a data traffic problem may be solved by reducing the amount of data to be transmitted.

Systems and methods are provided for increasing the geospatial resolution of traffic information by dividing known location intervals into a fixed number of sub-segments not tied to any one map providers format, efficient coding of the traffic information, and distribution of the traffic information to end-user consuming devices over one or more of a satellite based broadcast transport medium and a data communications network. Exemplary embodiments of the present invention detail a nationwide traffic service which can be encoded and distributed through a single broadcast service, such as, for example, an SDARS service, or a broadcast over a data network. Exemplary embodiments include aggregating the traffic data from segments of multiple location intervals, into predefined and predetermined flow vectors, and sending the flow vectors within a data stream to users. Confidence levels obtained from raw traffic data can both (I) be disclosed to drivers/users to supplement a very low signal (or no signal) speed and congestion report, and (ii) can also be used in various system algorithms that decide what local anomalies or aberrations to filter out as noise, or to disclose as accurate information and thus more granularly depict the roadway in question (and use additional bits to do so) as an actual highly localized traffic condition.

Proposed is a mobile automotive car system, and method thereof, for a dynamic, telematics-based connection search engine and telematics data aggregator, wherein risk-transfer profiles are captured and categorized in a results list from a plurality of first risk-transfer systems based on dynamically generated driving score parameters by means of appropriately triggered automotive data. As a variant, during a predefined trial period, the automotive and driving behavior data can be collected, which are transmitted together with the generated driving score parameters to multiple automated first risk-transfer systems for quotation. The user is able to dynamically select the best-fitting first risk-transfer system for risk-transfer by means of the results list, which is provided and updated in real-time for display to and selection by a user of a mobile telecommunication apparatus by means of a mobile telematics application of the mobile telecommunications apparatus.

A system (200) can provide data aggregation with a single primary table (206) formed in a content addressable memory (CAM) section (202). Within a primary table (206) CAM entries can be part of a primary table, one or more aggregate tables, or both. In one arrangement, valid bits in each CAM entry can indicate which particular schemes a CAM entry belongs to (primary table, or any of the aggregate tables). Associated data for each table can be stored in a RAM section (204) and can be accessed according to an offset address generated according to a scheme value (i).

The invention discloses a big data security analysis system based on massive network monitoring data. The system includes a data traffic monitoring module, a deep packet detection module, a data jointanalysis module, an anomaly detection module and a security evaluation module, wherein the data traffic monitoring module is used to monitor data traffic in real time, analyze applications, perform lossless collection on various system traffic data, and transmit the data to other modules; the deep packet detection module is used to judge the service types and application types by deeply reconstituting and analyzing the payload content of a seventh-layer packet and matching service characteristics, and performs analysis to obtain different application types; the data joint analysis module is used to perform data aggregation and study the state and association analysis to further remove redundant information in original data; the anomaly detection module is used to detect a data analysis result and judge whether the data is abnormal; and the security evaluation module is used to obtain a data evaluation result by combining the network situation based on the analysis and detection of other modules. According to the system, the real-time monitoring of network data and corresponding data security analysis can be implemented, and the data security and reliability can be improved.

A system, methodologies and components of an inventive Mobile Engagement Platform enable cross channel transaction processing, authentication, tokenization, security, and data aggregation.

A server searches a content information database for a piece of content viewed for example based on a viewing log obtained from a user by executing aggregation of data, extracts content tables associated with the content viewed for example, and counts appearance frequencies of the content tables by genre, performer, or keyword. Those genres and performers for example which are ranked high in appearance frequency are indicative of user preferences, so that those genres and performers are provided to a user as viewing support information or added-value information. The operation provides viewing selection information in which user preference is made apparent based on a user viewing log, and other added information.