Abstract: Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.

Abstract: Early detection of high volume swarms in a peer-to-peer network, including a data feed of peer-to-peer swarm activity, and an analytics engine processing the data feed and identifying the high volume swarms that have parameters that exceed a threshold. The system can include a pre-processing section for conditioning the swarm data for the analytics section. There can also be a verification section that confirms that the peer download file matches the target file. The early detection provides for enhanced anti-piracy efforts, improved allocation of network resources, and better business decision-making.

Abstract: Embodiments allow data cleaning of industrial data gathered from at least one sensor. The data cleaning utilizes a workflow that defines at least one cleaning step to be performed. Each cleaning step comprises detecting defects based on at least one constraint such as various models and/or statistics. Potential defects are presented to a user for feedback. The data is cleaned based on the feedback. Multiple copies of the data are stored to track all the various cleaning choices. All choices can be rolled back at will so that cleaning decisions made can be eliminated and different choices applied. Intermediate data is captured to allow reporting and auditing of the cleaning process.

Abstract: The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.

Abstract: The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.

Abstract: A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.

Abstract: A method for word synchronization can be applied to asynchronous devices including SERDES devices connected across serial lines. A state transition methodology characterizes the state of the device based on control characters received consistently across the serial lines and channels the system to a state of word synchronization. Loss of synchronization and transmission errors lead to a re-establishment of synchronization.

Abstract: Early detection of high volume swarms in a peer-to-peer network, including a data feed of peer-to-peer swarm activity, and an analytics engine processing the data feed and identifying the high volume swarms that have parameters that exceed a threshold. The system can include a pre-processing section for conditioning the swarm data for the analytics section. There can also be a verification section that confirms that the peer download file matches the target file. The early detection provides for enhanced anti-piracy efforts, improved allocation of network resources, and better business decision-making.

Abstract: A method for word synchronization can be applied to asynchronous devices including SERDES devices connected across serial lines. A state transition methodology characterizes the state of the device based on control characters received consistently across the serial lines and channels the system to a state of word synchronization. Loss of synchronization and transmission errors lead to a re-establishment of synchronization.

Abstract: A method for word synchronization can be applied to asynchronous devices including SERDES devices connected across serial lines. A state transition methodology characterizes the state of the device based on control characters received consistently across the serial lines and channels the system to a state of word synchronization. Loss of synchronization and transmission errors lead to a re-establishment of synchronization.

Abstract: A method includes extracting a plurality of patent parameters from each patent asset of a first data set comprising a first set of patent assets. The plurality of patent parameters of each patent asset of the first data set is fed to a decision tree tool. A decision tree involving interaction between the plurality of patent parameters is generated using a classification based methodology via the decision tree tool. Each patent asset of a second data set including a second set of patent assets is rated based on the generated decision tree. Each patent asset is provided a relative rating, an absolute rating, or a combination thereof.

Abstract: Tracking digital asset infringement activities and infringers on peer-to-peer networks. One method for assessing notice effectiveness of unauthorized distributors of content on a peer-to-peer network comprises processing peer data from a plurality of peers on the network, wherein the peer data aids in identification of individual unauthorized distributors. The embodiment includes creating a trial with a trial base population of the unauthorized distributors and a trial capture window, determining metrics for measuring the notice effectiveness, selecting a randomization methodology for the trial, performing the trial with the trial base population over the trial capture window according to the randomization methodology and issuing notices to some of the unauthorized distributors.

Abstract: System for transporting a sub-rate data stream over a communication network using a selected network protocol. The sub-rate data stream has an associated sub-rate protocol. The system includes a rate adapter to receive the sub-rate data stream and adapt a rate characteristic asso=iated with the sub-rate protocol to a rate characteristic associated with the selected network protocol to generate a rate-adapted data stream. The system also includes a payload framer to receive the rate-adapted data stream and frame the rate-adapted data stream into a payload for transmission over the communication network using the selected network protocol.

Abstract: A method and system for assessing and optimizing crude selection are provided. A predictive engine uses data from a database to execute at least one predictive performance model and/or at least one risk assessment model designed to optimize or improve refining operations during a refining process. The predictive engine takes as input key crude information corresponding to a particular crude or crude blend, e.g., at least one crude slate, and refinery operating parameters and/or conditions corresponding to a specific refinery and uses desirability metrics to assess the similarity to data in the database. Based on the resulting output, at least one predictive performance and/or at least one risk assessment model uses the output to predict performance or risk measures of refining the particular crude or crude blend using the specific refinery during the refining process, the probability of problems occurring during the refining process, the distribution of the problems throughout the refining process, etc.

Abstract: System for transporting a sub-rate data stream over a communication network using a selected network protocol. The sub-rate data stream has an associated sub-rate protocol. The system includes a rate adapter to receive the sub-rate data stream and adapt a rate characteristic asso=iated with the sub-rate protocol to a rate characteristic associated with the selected network protocol to generate a rate-adapted data stream. The system also includes a payload framer to receive the rate-adapted data stream and frame the rate-adapted data stream into a payload for transmission over the communication network using the selected network protocol.

Abstract: A video decoder is provided with robust error handling and concealment. In one embodiment, the video decoder detects syntactic, semantic, and coding errors in encoded slices of macroblocks. An error handler determines the number of remaining un-decoded macroblocks in the corrupted slice and replaces these corrupted macroblocks using substitute DCT coefficient matrices and motion vectors. The zero-frequency DCT coefficient of each substitute matrix is set equal to the zero-frequency DCT coefficient of the last uncorrupted macroblock, while the higher frequency DCT coefficients are set equal to zero. The substitute motion vectors are provided from a concealment vector memory which buffers the motion vectors of the previous macroblock row. In this way, intelligent approximations are made for the missing macroblocks, effectively masking the video bitstream error.

Abstract: A system and method for motion vector extraction and computation is embodied in an architecture adapted to overlap a data extraction process with a computation process and to provide 2-frame store decode with letterbox scaling capability, to extract a plurality of parameters usable for calculating a motion vector, and to compute motion vectors. The architecture is adapted to compute vertical and horizontal components of motion vectors in back-to-back cycles. The architecture includes a motion vector compute pipeline which, in a preferred embodiment includes a delta compute engine, a raw vector compute engine, a motion vector with respect to top left corner of picture block, or a combination of these logic circuits. The delta compute engine is adapted to generate a delta from a motion code and a motion residual and to compute a predicted motion vector in consideration of a motion vector of a previous macroblock.

Abstract: A system and method for low delay mode operation video decoding embodied in a prefetch buffer and an mbcore including an mbcore pipeline. The mbcore is adapted to check a status of the prefetch buffer at predetermined times and to implement a low delay mode to delay the mbcore pipeline when a data level of the prefetch buffer goes below a threshold at the predetermined times. The mbcore is adapted to ensure that there is a sufficient quantity of data in the prefetch buffer for a particular operation and, in a preferred embodiment, is adapted to check the status of the prefetch buffer at a start of a slice, at a beginning of dct decoding of each coded block. The prefetch buffer and the mbcore operate asynchronously, with the mbcore being adapted to prevent a symbol from splitting between the prefetch buffer and the mbcore.