Abstract: An apparatus to verify firmware in a computing system, comprising a non-volatile memory, including firmware memory to store agent firmware associated with each of a plurality of interconnect protocol (IP) agents and version memory to store security version numbers (SVNs) included in the agent firmware, a security controller comprising verifier logic to verify an integrity of the version memory by applying a hash algorithm to contents of the version memory to generate a SVN hash, and a trusted platform module (TPM) to store the SVN hash.

Abstract: The embodiments herein provide a system and method for integrating objects in monocular simultaneous localization and mapping (SLAM). State of art object SLAM approach use two popular threads. In first, instance specific models are assumed to be known a priori. In second, a general model for an object such as ellipsoids and cuboids is used. However, these generic models just give the label of the object category and do not give much information about the object pose in the map. The method and system disclosed provide a SLAM framework on a real monocular sequence wherein joint optimization is performed on object localization and edges using category level shape priors and bundle adjustment. The method provides a better visualization incorporating object representations in the scene along with the 3D structure of the base SLAM system, which makes it useful for augmented reality (AR) applications.

Abstract: Methods, apparatus, and processor-readable storage media for processing order experience data across multiple data structures are provided herein.

Abstract: A system provides notification of a time range for an order delivery. The system identifies estimated maximum delivery dates for each order in historical order data, and generates estimated minimum delivery dates for a first portion of the historical order data using a predictive model, wherein the predictive model is trained on a second portion of the historical order data. The system evaluates accuracy of the predictive model by determining a proportion of the first portion of the historical order data that had an actual delivery date between its corresponding estimated minimum delivery date and its corresponding estimated maximum delivery date, and revises a feature matrix to improve the accuracy of the predictive model. The system also estimates a maximum delivery date for the order delivery based on a plurality of lead times, estimates a minimum delivery date for the order delivery using the predictive model with improved accuracy.

Abstract: The embodiments herein provide a system and method for integrating objects in monocular simultaneous localization and mapping (SLAM). State of art object SLAM approach use two popular threads. In first, instance specific models are assumed to be known a priori. In second, a general model for an object such as ellipsoids and cuboids is used. However, these generic models just give the label of the object category and do not give much information about the object pose in the map. The method and system disclosed provide a SLAM framework on a real monocular sequence wherein joint optimization is performed on object localization and edges using category level shape priors and bundle adjustment. The method provides a better visualization incorporating object representations in the scene along with the 3D structure of the base SLAM system, which makes it useful for augmented reality (AR) applications.

Abstract: A system provides notification of a time range for an order delivery. The system identifies estimated maximum delivery dates for each order in historical order data, and generates estimated minimum delivery dates for a first portion of the historical order data using a predictive model, wherein the predictive model is trained on a second portion of the historical order data. The system evaluates accuracy of the predictive model by determining a proportion of the first portion of the historical order data that had an actual delivery date between its corresponding estimated minimum delivery date and its corresponding estimated maximum delivery date, and revises a feature matrix to improve the accuracy of the predictive model.

Abstract: Methods, apparatus, and processor-readable storage media for processing order experience data across multiple data structures are provided herein.

Abstract: A system and method is provided that facilitates aggregation of a plurality of controllable distributed energy resources (DERs). A processor may be configured to determine DER forecasts including non-influenced power profile forecasts for a plurality of DERs that include different types of load assets that consume power, for when the DERs are not influenced via dispatches from the system, based at least in part on different physics characteristics associated with the different types of the DERs. The processor may also determine a combined reserve capacity forecast for aggregated DERs including both power assets that output power and the different types of load assets, based at least in part on an aggregation of the non-influenced power profile forecasts. In addition, the processor may control at least some of the plurality of DERs based at least in part on the combined reserve capacity forecast.

Abstract: A system and method is provided that facilitates aggregation of a plurality of controllable distributed energy resources (DERs). A processor may be configured to determine DER forecasts including non-influenced power profile forecasts for a plurality of DERs that include different types of load assets that consume power, for when the DERs are not influenced via dispatches from the system, based at least in part on different physics characteristics associated with the different types of the DERs. The processor may also determine a combined reserve capacity forecast for aggregated DERs including both power assets that output power and the different types of load assets, based at least in part on an aggregation of the non-influenced power profile forecasts. In addition, the processor may control at least some of the plurality of DERs based at least in part on the combined reserve capacity forecast.

Abstract: A system and method of displaying a software application using a software architecture tool that includes: receiving a portion of an existing software application at the software architecture tool; identifying one or more software components of the existing software application from the received portion; automatically identifying a tier and layer location for each standard software component; and presenting one or more images that each represent the standard software component to a user, wherein the images visually identify a tier and layer location of each standard software component.

Abstract: A system and method of generating a software application using a software architecture tool includes: receiving a plurality of software component selections from a user via a computer; accessing one or more repositories stored on a computer-readable medium that define a plurality of software specifications; comparing the selected software components to the software specifications in the repositories; identifying compatibility features between the selected software components and the software specifications in the repositories; displaying the compatibility features of the selected components via a peripheral of the computer; and building a skeletal software application that includes the selected software components and one or more software components added based on compatibility features using one of the repositories stored on a computer-readable medium.