Abstract: Complex collaboration or decision support applications perform complex design or planning tasks, often with the input of large groups of people over long periods of time. The combination of time and complexity can often obscure past actions, making it difficult to remember the factors that influenced earlier stages in the planning task. This is especially true if the task involves many people and different people work at different times. The application state navigation system provides an application-independent mechanism that allows operators to walk back through the history of the application in order to better understand (or remember) the application actions that were taken in the past and the triggers for those actions.

Abstract: Methods and systems are disclosed for configuring a plurality of tiles displayed in a graphical user interface. In some embodiments, the method comprises receiving an initial state of the tiles, wherein the initial state includes two overlapping tiles; deriving, via the one or more computer processors, one or more secondary states from the initial state by rearranging the tiles in the initial state; calculating one or more scores for the initial state and the secondary states; and determining, based on the scores, a selected state from among the initial state and the one or more secondary states as a display state to be displayed on the user interface.

Abstract: A method for controlling a sensor may be performed by a mobile device including a processor and a memory. The method may include receiving raw data from the sensor, classifying the raw data into a context value, interpreting the context value into a higher-level context, receiving a predicted context based on the higher-level context, and controlling the sensor based on the predicted context. Controlling the sensor may include controlling a frequency at which raw data is received from the sensor, or an on/off state of the sensor. Control of the sensor may also be based on both the higher-level context and the predicted context.

Abstract: According to examples, inventory, growth, and risk prediction using image processing may include receiving a plurality of images captured by a vehicle during movement of the vehicle along a vehicle path. The images may include a plurality of objects. The images may be pre-processed for feature extraction. A plurality of features of the objects may be extracted from the pre-processed images by using a combination of computer vision techniques. A parameter related to the objects may be determined from the extracted features. A spatial density model may be generated, based on the determined parameter and the extracted features, to provide a visual indication of density of distribution of the objects related to a portion of the images, and/or to provide an alert corresponding to the objects related to the portion of the images.

Abstract: An action oriented social collaboration system monitors users' interactions with computer software applications. The system provides the interactions to a social networking system. The system publishes the interactions data to a social networking/collaboration interface viewable by members of a group, such as a project team. The system not only publishes data corresponding to a user's interactions with the computer software application, but also publishes the user's interactions with the computer software application to interfaces corresponding to other project team members as well.

Abstract: Biometric authentication technology, in which biometric data is maintained for a group of people. The biometric data includes sorted similarity scores, where each of the sorted similarity scores is computed to represent similarity between a corresponding biometric image and a reference image. A biometric verification system accesses a biometric image of at least a portion of a person, accesses the reference image, and computes a similarity score that represents similarity between the accessed biometric image and the reference image. The biometric verification system searches the sorted similarity scores included in the biometric data using the computed similarity score and outputs a result based on the searching.

Abstract: Master BOM creation may include extracting BOM data from first and second BOMs, and determining which BOM extracted data is greater. If the first or second BOM is a CAD BOM and the other BOM is a non-CAD BOM, the CAD BOM and non-CAD BOMs may be respectively used as a first and a second source BOM data for a master BOM table. If the first and second BOMs are non-CAD BOMs, or both of the first and second BOMs are CAD BOMs, the greater and lesser of the first and second BOM extracted data may be respectively used as the first and as the second source BOM data. A master BOM may be created based on mapping of the master BOM table to the second source BOM data.

Abstract: A disclosed example may accurately start and stop a recording of an event based on accurate event scheduling information from a channel broadcaster. A start time and stop time for a recording of the event may be scheduled according to EPG data. In response to determining that the channel is a controlled channel, which includes accurate event scheduling information provided by a channel broadcaster, a recording may be initially scheduled for the event according to the EPG data with an extended duration of a predetermined time value. The digitally encoded transport stream may be continuously monitored to detect a new event and the detected new event may then be mapped to the event. As a result, the recording time of the event may be accurately updated by extracting a set of parameters from the accurate event schedule information of the new event.

Abstract: A smart grid for improving the management of a power utility grid is provided. The smart grid as presently disclosed includes using sensors in various portions of the power utility grid, using communications and computing technology to upgrade an electric power grid so that it can operate more efficiently and reliably and support additional services to consumers. The smart grid may include distributed intelligence in the power utility grid (separate from the control center intelligence) including devices that generate data in different sections of the grid, analyze the generated data, and automatically modify the operation of a section of the power grid. Further, the intelligent devices in the power utility grid may cooperate together to analyze and/or control the state of the power grid. Finally, the distributed intelligence may further include distributed storage.

Abstract: As a company expands its businesses to include digital products and services in addition to more traditional telecommunications and media offerings, digital consumption data may be used along with telecommunications consumption data and other customer-centric information in order to create a more comprehensive data model and make better predictions. A customer-centric data model identifies entities with data from diverse locations and product sectors associated with a single customer. Customer analytic records aggregate existing data into base variables and store it for each customer along with additional variables generated by performing calculations on exiting data. Both the data model and the customer analytic records can be used by the company to make more accurate business and marketing decisions.

Abstract: The present invention relates to a computer network that provides secure authentication. The computer network comprises a server operable to generate a token comprising identification information; a first device to be authenticated, the first device being operable to receive the token; a second device associated with a trusted identifier, the second device being operable to retrieve the token from the first device and associate the token with the trusted identifier to authenticate the first device at the server.

Abstract: Wi-Fi access point performance management may include receiving a session analytic record related to a plurality of wireless access points, and analyzing the session analytic record related to the plurality of wireless access points to determine a root cause of at least one malfunctioning node related to at least one of the plurality of wireless access points, and predict failure of the at least one of the plurality of wireless access points. Further, a graphical user interface display or a report may be generated. The graphical user interface display or the report may be related to the determination of the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points, and prediction of the failure of the at least one of the plurality of wireless access points.

Abstract: According to an example, event anomaly analysis and prediction may include accessing a master directed graph that specifies known events and transitions between the known events, and ranking each of the known events. Each of the ranked known events may be clustered into a plurality of anomaly categories. A plurality of rules to analyze new events may be determined based on the plurality of anomaly categories. A determination may be made, based on an application of the plurality of rules to data that is to be analyzed for an anomaly, whether the data includes the anomaly. In response to a determination that the data includes the anomaly, a device associated with the data may be controlled.

Abstract: According to an example, data acceleration may include receiving indications of levels of capabilities respectively needed for data movement, data processing, and data interactivity, and/or operational parameters associated with the data movement, the data processing, and the data interactivity. Data acceleration may further include determining, based on an analysis of the received indications and/or the operational parameters, specifications for the data movement to include streaming and/or batch, the data processing to include a big data platform, complex event processing, and/or an appliance, and the data interactivity to include an in-memory database (IMDB) and/or a distributed cache.

Abstract: An assembling method, an augmented reality system and a computer program product for measuring and/or manufacturing are provided. A targeting object may be placed in a working space. A distance is measured from the measurement device to the targeting object. The distance measurement is transmitted to the augmented reality system, and the augmented reality system determines whether the distance measurement corresponds to a target distance.

Abstract: The present invention is directed to provide a method and system for targeting individuals and providing a reference to a discussion in a discussion forum. A method is described herein that allows a user of an integrated discussion forum interface to initiate the generation of a direct, navigable reference to a thread or message in the discussion forum to one or more targeted individuals. By generating a direct, navigable reference to the thread or message, the system may advantageously facilitate the directed solicitation of targeted individuals while leveraging the accessibility, reusability, and available knowledge base of a traditional public forum.

Abstract: A device may receive information that identifies a source database and a destination database, and may receive information that identifies an entity instance included in the source database. The device may determine a base data structure, included in the source database, that is associated with the entity instance, and may generate a dependency graph that identifies a dependency between the base data structure and another data structure. The device may receive an instruction to perform an operation associated with the destination database, and may determine an evaluation order for traversing the dependency graph to generate code for performing the operation. The device may traverse the dependency graph in the evaluation order, and may generate code corresponding to respective data structures identified by the dependency graph. The device may cause execution of the code, based on the evaluation order, which may cause the operation to be performed.

Abstract: In one aspect, the present application is directed to a computer-implemented method, a mobile device, a computer network system, and a computer-program product for optimized audio data provision, in an aspect, a computer-implemented method for optimized audio data provision on mobile devices is provided. The method may comprise: evaluating one or more parameters of a network connection of a mobile device; and depending on said evaluation, automatically switching between downloading audio data in an audio file from a server in real-time and downloading audio data in a text file from the server and performing a text-to-speech application of audio data on the mobile device.

Abstract: A performance optimization system includes a superior performance engine identifying high performance entities and determining benchmarks from data captured for the high performance entities. The benchmarks correspond with factors in the indices. The indices include a growth index, an operational excellence index, and an enterprise management index. A data capture module captures data related to the factors for an entity. An optimization engine determines values for the factors from the data captured for the entity, and compares the values with the benchmarks to identify underachieving factors. Estimated performance for the entity is calculated based on modifications to the underachieving factors.

Abstract: A real-time data management system, a system, method, apparatus and tangible computer readable medium for accessing data in a power grid are described for controlling a transmission delay of real-time data delivered via a real-time bus, and for delivering real-time data in a power grid. A unified data model covering various organizations and various data resource is described. Further, a management scheme for clustered data is described to provide a transparent and high speed data access. The solutions described may efficiently manage the high volume of real-time data and events, provide data transmission with a low latency, provide flexible extension of both the number of data clusters and the number of databases to ensure high volume data storage, and achieve a high speed and transparent data access. Additionally, rapid design and development of analytical applications, and the near real-time enterprise decision-making business may be enabled.