1094 results about "Active data" patented technology

A system, method, and various software products provide for consistent identification of web users across multiple web sites, servers and domains, monitoring and capture of data describing the users' web activities, categorization of the web activity data, aggregation of the data into time dependent models describing interest of users and groups over time. Categorization is made with respect to a category tree which may be standardized or customized for each web site. User groups may be defined based on membership rules for category interest information and demographics. Individual user profiles are then created for users automatically based on satisfaction of the user group membership rules. As new data is collected on a user over time, the category interest information extracted from the user's web activity is updated to form a current model of the user's interests relative to the various categories. This information is also used to automatically update group membership and user profile information. Identification of users across multiple sites is provided by a global service that recognizes each user and provides a globally unique identifier to a requesting web server, which can use the identifier to accumulate activity data for the user. Client side user identification is provided to track user activity data on web servers that do not communicate with the global service and do not process activity for category information. User profiles may be shared among web sites that form alliances. User activity data may be aggregated along various dimensions including users/user groups, categorization, and time to provide robust models of interest at any desired time scale.

Activity data is analyzed or evaluated to detect behavioral patterns and anomalies. When a particular pattern or anomaly is detected, a system may send a notification or perform a particular task. This activity data may be collected in an information management system, which may be policy based. Notification may be by way e-mail, report, pop-up message, or system message. Some tasks to perform upon detection may include implementing a policy in the information management system, disallowing a user from connecting to the system, and restricting a user from being allowed to perform certain actions. To detect a pattern, activity data may be compared to a previously defined or generated activity profile.

Machine-assisted methods and apparatus are disclosed for allowing individual users to develop and organize respective activity descriptions and supporting journal items according to their respective preferences. Cross-referencing mappings may be created between activity descriptions and journal items in order to find, filter and organize disparate data. Cross-referencing mappings may also be created between the developed activity descriptions of different users so they can better understand each others perspectives and possibly overlapping goals. Different users' activity descriptions can be presented to a user even while the user may be disconnected from communication networks. Hierarchical relationships between activity descriptions may be provided. Machine-assisted means may be provided for creating work-sharing, work-delegating and/or informational sharing agreements between different users. Further machine-implemented means may be provided for automatically and asynchronously updating users on shared activities by other users even though all users are not necessarily connected to one or more respective communication networks at same time.

The present invention provides an active/standby data center that avoids the delay associated with a cached DNS entry to switch from the active data center to the standby data center. When the active data center becomes unavailable, the standby data center advertises the same address as the primary data center so the change over occurs quickly. When the IP address of the primary data center is no longer visible to the standby data center, the standby data center begins to advertise.

A method (700) for improving driver performance includes the steps of receiving vehicle operating data from the vehicle (702); monitoring an interior portion of the vehicle and receiving operator activity data from the interior portion of the vehicle (704); receiving vehicle environment data from the environment external to the vehicle (706); monitoring the vehicle operator and receiving operator condition data relating to a condition of the vehicle operator (708); recording an operator performance assessment based on the vehicle operating data, the operator activity data, the vehicle environment data and the operator condition data (710); and reporting the operator performance assessment to the operator (712).

Methods, devices, and computer programs are presented for creating a unified data stream from multiple data streams acquired from multiple devices. One method includes an operation for receiving activity data streams from the devices, each activity data stream being associated with physical activity data of a user. Further, the method includes an operation for assembling the unified activity data stream for a period of time. The unified activity data stream includes data segments from the data streams of at least two devices, and the data segments are organized time-wise over the period of time.

A system capable of dynamically reserving bandwidth and adjusting bandwidth reservations for active sessions of data communication in a data communications device is provided. The system generally separates the operation of bandwidth allocation and adjustment from the operation of data transport through the device, thereby allowing bandwidth reservations and adjustments to be made without disturbing sessions of data communication that are actively being transported through the device. The system can accept requests to allocate or reserve bandwidth in a data communications device using bandwidth reservation protocols such as RSVP. The reservation requests create sender state data that can be used to compute resource allocation data. The resource allocation data can be used to label data storage locations in a data storage mechanism according to the required bandwidth reservations. A data scheduling apparatus, which is ignorant of particular sessions and specific amounts of reserved bandwidth, examines data and deposits data into data storage locations having a label corresponding to a session identification specified in the data, if any. If an unknown or no session identification is specified in the data, the data scheduler deposits data into a data storage location that is unlabeled or that has an unreserved label. Thus session bandwidth is determined by the percentage of labeled data storage locations for the session. Changes in bandwidth reservations are reflected in the separate operation of alterations made in the data storage labeling scheme, and do not affect the data scheduler, or data dequeuing mechanisms, thus allowing data sessions to continue without interruption during bandwidth adjustments.

A distributed data center topology having at least a pair of active data centers that can recover from a disaster at one of the data centers and achieves load balancing using IGP (Interior Gateway Protocol) between data centers. The distributed data centers use virtual IP addresses, route health injection and Border Gateway Protocol (BGP) for business continuance, disaster recovery and load balancing. The active/active topology supports load balancing where each site concurrently hosts active applications or applications can be hosted in a logical active/standby mode. IGP and RHI (Route Health Injection) are used to propagate routes to an edge router and BGP (Border Gateway Protocol) and IP Anycast are used for site-to-site recovery and load balancing between data center sites.

A method and apparatus for different embodiments of probabilistic summary data structure based encoding for garbage collection are described. In one embodiment, a method comprises generating a probabilistic summary data structure that represents active blocks of data within a storage device based on identifications of the active blocks or the data within the active blocks. The method also includes performing garbage collection of at least a portion of the storage device based on the probabilistic summary data structure.

The present invention relates to systems and methods for optimizing and managing advertising campaigns. The method of the present invention comprises storing one or more advertisement data structures associated with an ad group data structure in the ad group data structure. One or more ad group data structures associated with a campaign data structure are stored in an ad campaign data structure. Additionally, one or more ad campaign data structures associated with an advertised property are stored in an account data structure.

A method and apparatus are provided that interact with an IPTV product deployed in a communication network. The method and apparatus of the present invention collects subscriber activity data, such as channel changes generated by the subscriber while watching video or TV in an IPTV system. The system and method of the present invention collects, parses and processes this consumer activity data. The method and apparatus of the present invention collects and aggregates the IPTV consumer activity data from multiple IPTV consumer activity data collection systems. The aggregated data, collected over a national or global basis can then be used to generate metrics. The metrics are then analyzed by business rules to generate marketing data reports that can be used as an strategic analysis tool for communication network operators, content providers and advertisers to determine consumer usage of the IPTV systems and viewing of programming and advertising.

Certain aspects of a method and system for a power control based on application awareness in a packet network switch are provided. Data communication flow may be monitored in ports in a packet network switch based on packet classification. Ports where data flow is not detected may have at least some functionality disabled to reduce power consumption. In this regard, a power saving mode may be utilized for disabling at least some functionality in a switch port, such as Ethernet ports, for example. A partially disabled port may be fully enabled when monitoring detects active data communication flow in that port. Port functionality may be enabled or disabled sequentially, for example. In some instances, a physical layer portion of the packet network switch may be utilized to adjust power in a port based on the data communication flow.

In accordance with the method, system and program of the present invention, at least one type of exercise indicator signal associated with exercise performed by a particular user is received from a particular exercise machine in a common transmittable data format at a portable computer system provided the particular user. Cumulative fitness activity is computed and stored for the particular user at the portable computer system utilizing the at least one type of exercise indicator signal and previously accumulated fitness activity data at the portable computer system, such that an independent portable computer system associated with the particular user monitors the real-time cumulative fitness activity of the particular user from at least one type of exercise indicator signal received from at least one exercise machine over a period of time.

A method and system are disclosed for optimizing webpages and managing campaigns in a syndicated commerce environment. Social data associated with a first user is used to determine their user characteristics. These characteristics are then used to identify a set of second users that possess the same characteristics. The past online behavior of the set of second users is analyzed to identify online conversion actions they have performed. In turn, the online conversion actions are analyzed to identify campaign data associated with a campaign goal, which is then provided to the first user.

Systems and computer-implemented methods are used for analyzing battery information. The battery information may be acquired from both passive data acquisition and active data acquisition. Active data may be used for feature extraction and parameter identification responsive to the input data relative to an electrical equivalent circuit model to develop geometric-based parameters and optimization-based parameters. These parameters can be combined with a decision fusion algorithm to develop internal battery parameters. Analysis processes including particle filter analysis, neural network analysis, and auto regressive moving average analysis can be used to analyze the internal battery parameters and develop battery health metrics. Additional decision fusion algorithms can be used to combine the internal battery parameters and the battery health metrics to develop state-of-health estimations, state-of-charge estimations, remaining-useful-life predictions, and end-of-life predictions for the battery.

A data processing system for processing loan data for a plurality of loans including a data storage system configured to store loan data for the plurality of loans and a user interface including one or more web pages configured to enable a servicer using a remote computing system to transfer loan data over the Internet to and from the data processing system. The user interface includes a loan activity processing function configured to receive servicer loan data including loan activity data from the servicer, a trial balance processing function configured to enable the servicer to submit servicer loan data for comparison with the stored loan data, and a loan level browsing function configured to allow the servicer to view stored loan data. The data processing system further includes loan process and compare logic which includes an amortization/calculation processor configured to perform validation calculations on servicer loan data based on stored loan data, a loan activity processor configured to process the loan activity data, validate the loan activity data based on the stored loan data, and update the stored loan data based on the loan activity data. The loan process and compare logic further includes a trial balance processor configured to compare servicer loan data with stored loan data.

A method as described by which an application executing in an application layer of a multi-layer communication protocol forming part of a general packet radio service (GPRS) session can signal for the setup and release of Temporary Block Flow (TBF) which will not be released during application execution in silent (inactive) periods. When applications such as voice, telnet or web browsing have specific traffic type data that have inactive periods between active periods are to be carried over GPRS, the session consists of multiple active periods. Current TBF release procedures lead to multiple TBF setups during such sessions. With the method described, a special type of TBF can be set up with special procedures for release of this TBF which greatly minimizes the need for multiple TBF setups during a session containing data transfers with inactive periods between active data transmissions.

A method, system, and computer program product for detecting and mapping activity occurring at and between devices on a computer network for utilization within an intrusion detection mechanism. An enhanced graph matching intrusion detection system (eGMIDS) utility executing on a control server provides data collection functions and data fusion techniques. The eGMIDS comprises multiple sensors and associated unique adaptors that are located at different remote devices of the network and utilized to detect specific types of activity occurring at the respective devices relevant to eGMIDS processing. The sensors convert the data into eGMIDS format and encapsulate the data in a special transmission packet that is transmitted to the control server. The eGMIDS utility converts the activity data within these packets into eGMIDS-usable format and then processes the converted data via a data fusion technique to generate a graphical representation of the network (devices) and the activity occurring at/amongst the various devices.

A distributed data center topology having at least a pair of active data centers that can recover from a disaster at one of the data centers and achieves load balancing using IGP (Interior Gateway Protocol) between data centers. The distributed data centers use virtual IP addresses, route health injection and Border Gateway Protocol (BGP) for business continuance, disaster recovery and load balancing. Active applications are deployed at each data center to provide a logical active/standby configuration for certain applications. Alternatively, active applications are deployed at both sites and BGP routes traffic to the closest data center edge router. Load balancing occurs over an internal IGP link between sites.

Disclosed is a method of allocating resources in a packet data system to a User Equipment (UE) with an active data session, such as a Voice over Internet Protocol (VoIP) call, using dedicated resources to transmit scheduling requests, thereby reducing latency which may occur as a result of collisions associated with transmitting scheduling requests over a random access channel. The method comprises the step of transmitting over dedicated resources a scheduling request, and receiving a scheduling grant in response thereto. The scheduling request indicates that a transmitter in a data session has a data packet to transmit. The scheduling grant indicates resources allocated for transmitting the data packet.

Multi-step statistical modeling in one embodiment of the present disclosure enables anomaly detection, forecasting and/or root cause analysis of the energy consumption for a portfolio of buildings using multi-step statistical modeling. In one aspect, energy consumption data associated with a building, building characteristic data associated with the building, building operation and activities data associated with the building, and weather data are used to generate a variable based degree model. A base load factor, a heating coefficient and a cooling coefficient associated with the building and an error term are determined from the variable based degree model and used to generate a plurality of multivariate regression models. A time series model is generated for the error term to model seasonal factors which reflect monthly dependence on energy use and an auto-regressive integrated moving average model (ARIMA) which reflects temporal dependent patterns of the energy use.

The invention provides system and method wherein the system collects user activity data including call log information from network equipment, handset and other context specific user activity data including time of call and location information to enable various applications to use the information collected and build social network. In accordance with the method of the invention, the user activity data collected is used to form individual social networks. The networks are formed based on clusters identified by mining the data collected. Furthermore, various applications are provided access to the clustered data to assist in individual social networking. The system of the invention comprises of an application server comprising a centralized data center providing social networking services through a plurality of networks, the networks in-turn connecting a plurality of users through their individual network terminal stations to the application server.