Abstract: A transportation system may store a standard time of arrival table including standard time of arrivals for fixed stops and waypoints or geo-sections. Delay of a vehicle reaching a fixed stop is determined and may be used to determine an estimated time of arrival to a destination on the route. Delay may be determined in response to traversing the waypoints or geo-sections on the route, and the estimated time of arrival may be updated according to the delay at each waypoint or geo-section.

Abstract: A computer-implemented method, a computer system, and a computer program product for synchronizing output of media data across a plurality of devices is provided. The computer-implemented method for synchronizing output of media data across a plurality of output devices may include providing a communication network between a media server and a plurality of output devices; and synchronously outputting media data files on the plurality of output devices, wherein the media data files are transmitted to the output devices from the media server in form of a data stream over different delivery networks.

Abstract: The present application relates to a computer network, a computer-implemented method, a computer program product, a client, and a server for natural language-based control of a digital network. In one aspect, the computer network for natural language-based control of a digital network may comprise: a digital network operable to provide sharing of access to a network between a plurality of devices connected in the digital network; a client installed in the digital network and operable to provide a unified natural language interface to a user to control the digital network using natural language; a server connected to the client over the network and operable to process a user request of the user performed through the unified natural language interface; and one or more software agents operable to execute at least one action on at least one of the plurality of devices based on the processed user request.

Abstract: The workload profiler and performance interference (WPPI) system uses a test suite of recognized workloads, a resource estimation profiler and influence matrix to characterize un-profiled workloads, and affiliation rules to identify optimal and sub-optimal workload assignments to achieve consumer Quality of Service (QoS) guarantees and/or provider revenue goals. The WPPI system uses a performance interference model to forecast the performance impact to workloads of various consolidation schemes (e.g., consolidation strategies) usable to achieve cloud provider and/or cloud consumer goals, and uses the test suite of recognized workloads, the resource estimation profiler and influence matrix, affiliation rules, and performance interference model to perform off-line modeling to determine the initial assignment selections and consolidation strategy to use to deploy the workloads.

Abstract: According to examples, intelligent visualization munging may include transforming and enriching data that is to be visualized, determining features of the transformed and enriched data, determining a user role of a user associated with the transformed and enriched data, and a user interaction of the user. Intelligent visualization munging may further include learning a behavior of the user, and analyzing the features, the user role, the user interaction, and a learned behavior model to generate a recommendation that includes a predetermined number of visualizations from a plurality of available visualizations to display the transformed and enriched data. The predetermined number of visualizations is less than the plurality of available visualizations.

Abstract: A customized content selection and delivery system is operable to create a customized content channel package for a subscriber and customized content channel package to a customer premises over a content delivery network. A multi-level analysis based on measured content consumption metrics is performed to select content provider channels for the customized content channel package.

Abstract: According to examples, intelligent data munging may include ascertaining data that is to be transformed, and determining, based on an analysis of the ascertained data, a sample of the ascertained data. Intelligent data munging may further include enriching the sample of the ascertained data, determining features of the enriched sample of the ascertained data, and determining, based on the features, a transformation to be applied to the enriched sample of the ascertained data to transform the enriched sample of the ascertained data from a first format to a second format. Further, intelligent data munging may include validating the determined transformation, and generating, based on the validation of the determined transformation, a script that is to be applied to the ascertained data to transform the ascertained data from the first format to the second format.

Abstract: An expression editor system allows a user to build an expression specifying an action that may occur during execution of a target application. The expression editor system includes an expression editor tool used to create, manage, and store action point definitions that include an action point identifier that specifies an action point located in target application program code. The expression editor system determines from the action point definition a dataset that is in-context at the action point in the application program code, obtains data field selections from the dataset that is in-context at the action point in the application program code, graphically builds an expression, and an outcome that executes depending the expression, links the outcome and the expression to form an action point rule for the action point, and saves the action point rule in the database for execution when the application program code reaches the action point.

Abstract: Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Abstract: An interactive video distribution system can distribute video content to customer premises of a service provide. Content servers store video content items received from content providers. A content management server maintains a content index including content metadata describing the video content items. A request for content is received from customer premises equipment of a customer premises via a content distribution network. An iterative matching process is performed to match the request with content metadata in the content index to identify a matching video content item to deliver to the customer premises equipment in response to the request.

Abstract: A method and system for generating visualizations for display synchronized with related video content are provided. The system includes memory comprising geocoded data and a communications interface to transmit video content to a display device. A visualization circuitry in communication with the communications interface is configured to receive a video signal, develop secondary data to be displayed according to the received video signal, select a subset of the geocoded data according to the video signal, and generate a user interface for the display device to display the secondary data, a physical representation of the selected geocoded data and the video content together.

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: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automating a manual process. The methods, systems, and apparatus include actions of identifying a process that (i) is manually performed by a user interacting with a computer, and (ii) is to be automated for performance by a robot that is configured to interact with another computer. Additional actions include obtaining one or more images taken of a display of the computer while the user is interacting with the computer in manually performing the process and applying a computer vision technique to identify one or more activities associated with the process. Further actions include, for each of the one or more identified activities, generating activity information associated with the activity and generating a process definition for use in causing the robot to automatically perform the process.

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.