Abstract: A hydrocarbon field including thief zones can be modeled based on production history data and supplemental data constraining a thief-zone distribution across the field. In various embodiments, a numerical optimization approach involves creating a plurality of model thief-zone distributions with varying parameter values, parameterizing permeability maps obtained for the thief-zone distributions and aggregating across the thief-zone distributions to obtain distributions of coefficients associated with the parameterization, and then iteratively sampling the coefficient distributions, determining a permeability map of the model based on the selected coefficients, and measuring a deviation between the measured production history data and simulated production history data derived from the computational model until a match is achieved.

Abstract: A safety method and system for users in a vehicle is provided. The method includes operations that are executed by a circuitry of the system to facilitate safety features to the users. The operations include detecting an emergency input for activating a camera device to record real-time in-vehicle activities. A preferred contact of a user in the vehicle is determined and audiovisual information of the in-vehicle activities is communicated in real-time with each preferred contact. The recorded in-vehicle activities are further processed in real-time for detecting an emergency incident. An alert signal is generated based on the emergency incident, and one or more entities who can provide help are identified based on a location of the vehicle. The alert signal is communicated to the one or more entities along with the recorded in-vehicle activities.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving, by a Network Virtualization Edge (NVE) of a first virtual network (VN), a multicast packet from a virtual machine (VM) of the first virtual network (VN); determining, by the NVE, whether the NVE currently supports forwarding the multicast packet to a second NVE of a second virtual network (VN), the second virtual network (VN) being logically separated from the first virtual network (VN); responsively to determining that the NVE currently supports forwarding the multicast packet to a second NVE of a second virtual network (VN) forwarding, by the NVE, the multicast packet to the second NVE.

Abstract: Systems and methods for improving accuracy of geographic position data are provided. A networked system mines ticket data from content of the ticket. Based on the ticket data, a determination is made that the ticket indicates an issue with a trip involving a point of interest (POI). The networked system extracts trip data from a trip log corresponding to the trip involving the POI, and identifies, from a data storage, stored attributes of the POI. The networked system analyzes the ticket data, trip data, and attributes to determine a workflow to improve accuracy of the POI, whereby the analyzing comprises determining a priority level to verify accuracy of the POI. The workflow is triggered based on the priority level to verify accuracy of the POI.

Abstract: Sum of bid quantities (across price bands) placed by generators in energy markets have been observed to be either constant OR varying over a few finite values. Several researches have used simulated data to investigate desired aspect. However, these approaches have not been accurate in prediction. Embodiments of the present disclosure identified two sets of generators which needed specialized methods for regression (i) generators whose total bid quantity (TBQ) was constant (ii) generators whose total bid quantity varied over a few finite values only. In first category, present disclosure used a softmax output based ANN regressor to capture constant total bid quantity nature of targets and a loss function while training to capture error most meaningfully. For second category, system predicts total bid quantity (TBQ) of a generator and then predicts to allocate TBQ predicted across the various price bands which is accomplished by the softmax regression for constant TBQs.

Abstract: Embodiments disclosed herein include electronic packages and methods of forming such packages. In an embodiment an electronic package comprises a package substrate, and a first level interconnect (FLI) bump region on the package substrate. In an embodiment, the FLI bump region comprises a plurality of pads, and a plurality of bumps, where each bump is over a different one of the plurality of pads. In an embodiment, the electronic package further comprises a guard feature adjacent to the FLI bump region. In an embodiment, the guard feature comprises, a guard pad, and a guard bump over the guard pad, wherein the guard feature is electrically isolated from circuitry of the electronic package.

Abstract: Embodiments disclosed herein include electronic packages with underfill flow control features. In an embodiment, an electronic package comprises a package substrate and a plurality of interconnects on the package substrate. In an embodiment, a die is coupled to the package substrate by the plurality of interconnects and a flow control feature is adjacent on the package substrate. In an embodiment, the flow control feature is electrically isolated from circuitry of the electronic package. In an embodiment, the electronic package further comprises an underfill surrounding the plurality of interconnects and in contact with the flow control feature.

Abstract: In energy markets in which bidding process is used to sell energy, it is important that a mechanism for deciding bidding amount is in place. State of the art systems in this domain have the disadvantage that they rely on simulation data, and also they make certain assumptions, and both the factors can affect accuracy of results when the systems are deployed and are expected to handle practical scenarios. The disclosure herein generally relates to energy markets, and, more particularly, to a method and a system for Reinforcement Learning (RL) based model for generating bids. The system trains a RL agent using historical data with respect to competitor bids places and Market Clearing Prices (MCPs). The RL agent then processes real-time inputs and generates bidding recommendations.

Abstract: A method for diagnosing an active Mycobacterium tuberculosis infection by detecting certain RNA biomarkers present in secreted extracellular vesicles isolated from a bodily fluid. The RNA biomarkers in the secreted extracellular vesicles may include a certain Mycobacterium RNAs as well as certain host cell RNAs. Also provided is an RNA signature of certain Mycobacterium and host cell RNA present in secreted extracellular vesicles indicative of an active tuberculosis infection.

Abstract: Disclosed approaches for guiding actions in processing a circuit design include a design tool identifying first violations of design checks and determining severity levels of the first violations. The design tool determines for each violation, suggested actions associated with the violation and presents on a display, first data indicative of the suggested actions in order of the severity levels of the first violations. The first data include selectable objects, and each selectable object has an associated executable procedure. The design tool can execute the procedure associated with one of the selectable objects in response to selection and modify the circuit design in response to execution of the procedure.

Abstract: Systems for dynamically detecting unauthorized activity are provided. A system may receive data from one or more computing devices associated with one or more different channels of communication (e.g., email, telephone, instant messaging, internet browsing, and the like). The received data may be formatted or transformed from an unstructured format to a structured format for further analysis and evaluation. In some arrangements, machine learning may be used to determine whether triggering content was identified in data received from the one or more systems and to evaluate the identified triggering content to determine whether the content, alone or in combination with triggering content from other channels of communication, may indicate an occurrence of unauthorized activity. If so, the identified occurrence may be evaluated to determine whether a false positive has occurred.

Abstract: Implementations of fault detection circuits may include a first current transformer coupled to a second current transformer, a positive feedback circuit including the first current transformer, the second current transformer, a first switch, and one of a comparator, an amplifier, and an inverter. The circuit may also include a plurality of logic gates that may be coupled with the positive feedback circuit. The positive feedback circuit may be configured to oscillate upon detecting a ground neutral fault and to send a fault signal to the plurality of logic gates. The plurality of logic gates may be configured to analyze the fault signal and open the first switch. The plurality of logic gates may be further configured to identify whether the fault signal represents one of a true fault or a noise fault by analyzing the output of the positive feedback circuit after the first switch has been opened.

Abstract: The present invention discloses compositions and materials for providing protection against heat and fire. More particularly, the present invention discloses thermal insulating and fire protecting materials and products and processes of developing the same. The materials of the present invention provide excellent insulation even above 500° C. without being degraded or change in shape.

Abstract: A system for generating reports with dynamic business intelligence analytics and/or a static value story may collect parameters defining the scope of a report. The system may select a value story module comprising a set of static report pages for generating the report, and a business insight module comprising a set of dynamic report pages for generating the report. The value story module includes static data related to the scope of the report. The set of dynamic report pages may be generated by a job running on a data storage system. The system may arrange a set of presentation pages into a selected order, with the set of presentation pages being selected from the set of dynamic report pages and the set of static report pages. The system may generate the report in a file format with the report comprising the set of presentation pages in the selected order.

Abstract: Methods, systems, and computer programs are presented for providing file system functions on a cloud storage system based on blob storage. A cloud storage system comprises storage clusters, and each storage cluster comprises a plurality of storage nodes (each including a partition layer that stores data in blobs organized within containers, and a stream layer for streaming blob data), a hierarchical namespace service for implementing file system functions on the data stored in the blobs and, a front end layer for processing user requests to access and manage data stored on the blobs. The file system functions include flat namespace functions and hierarchical namespace functions. Further, the front end layer accesses the partition layer to access the blobs based on addresses of blobs and accesses the hierarchical namespace service to identify the blobs.

Abstract: Embodiments of the present invention provide a system for converting ubiquitous language instructions to robotic process automation executable action steps and executing the action steps. A managing system receives an encrypted user input from a computing device of the user, where the user input comprises instructions entered in ubiquitous language (e.g., common vernacular, or other non-complex programming language). The user input is decrypted and an action keyword is identified from the ubiquitous language instructions. The action keyword for each instruction is compared to a conversion database to determine a set of execution steps associated with each action keyword. These execution steps are in a format that enables a robotic process automation system to perform the execution steps. The set of execution steps is then transmitted to the robotic process automation system that automatically performs the set of execution steps through a workstation or other operating station of the user.

Abstract: Methods, systems, and programs provide for executing distributed transactions in a cloud storage system with a hierarchical namespace. One method includes receiving a request with operations to be executed atomically. Further, nodes are identified for executing the operations, each node having a respective clock and having at least part of a transactions table for controlling updates to entities. Each clock is one of a loosely-synchronized, a strictly-synchronized clock, a logical, or a physical clock. Additionally, the nodes process the operations, which includes setting a commit timestamp (CS) to a value of the clock in the node if the node is a first node in the processing. One node coordinates the transactions, and may be one of the nodes executing transactions. If the clock in the node is less than a current value of the CS, the node waits for the clock to reach the current value of the CS and the CS is updated.

Abstract: Embodiments of the present invention provide a system for executing, securing, and non-repudiation of pooled conditional smart contracts over a distributed blockchain network. In particular, the system may receive an instrument request from a beneficiary entity, where the instrument request includes an instrument amount. The system can then identify a lead contribution amount that a lead entity is willing to provide to meet a portion of the instrument amount. A set of supporting entities can be identified as willing to provide supporting contribution amounts to meet the remainder of the instrument amount. A conditional contract can be sent to each supporting entity that, when signed, authorizes the system to transfer contribution amounts, which may be in the form of cryptocurrency, from blockchain addresses of the lead and supporting entities to a blockchain address of the beneficiary entity. Once the instrument amount has been secured, the system executes the transactions.