Abstract: The present invention relates to an integrated process for conversion of crude oil to petrochemicals viz. olefins and aromatics. More specifically, the present invention provides a configuration of processes both primary and secondary processing units through which the crude oil can be converted to petrochemicals. The configuration of processes provided by the present invention utilizes minimum numbers of secondary processing units and provides great degree of flexibility towards maximizing yield of either petrochemical or fuels depending upon market scenario.

Abstract: A process and a system are used for production of multiple grades of ultralow aromatic solvents/chemicals having preferred boiling range, flash point and viscosity from different hydrocarbon streams. A plurality of hydrotreating steps are used to hydrotreat a plurality of hydrocarbon feedstocks in the presence of a hydrogen gas stream and a catalyst system. Further, at least one dissolved gas stripping step, at least one adsorption step, and a distillation step are included in the process. Desired iso-paraffin molecules are thereby preserved, and the undesired aromatic molecules are converted into desired naphthene molecules.

Abstract: Disclosed herein is a system for capturing user interactions associated with a webpage or an application, and analyzing the captured user interactions to determine meaningful information. The meaningful information is provided to a provider of the webpage or to the application. The meaningful information provides valuable insight into a state of the user experience for a user interacting with the webpage or the application. Moreover, the meaningful information can include a prediction of an action the user interacting with the webpage or the application is likely to implement in the future based on the state of the user experience. The meaningful information is provided in real-time, or near real-time. Consequently, the provider of the webpage or the application can act on the meaningful information before the user implements the action.

Abstract: In one general embodiment, a computer-implemented method includes determining when two satellites in low Earth orbit (LEO) and having duplicate instances of data stored thereon will be within a predefined distance of one another. A third satellite is identified to store a replication copy of the instance of data for at least a duration that the two satellites will be within the predefined distance of one another. A copy of the instance of data is caused to be transmitted to the third satellite for storage thereon.

Abstract: A computer-implemented method for altering an appearance of an electrochromic coating of a vehicle is provided. The method includes determining that a vehicle is a boundary area of a testing zone based on a determined location of the vehicle. The method also includes changing a base appearance of the electrochromic coating of the vehicle to an altered appearance based on the determination that the vehicle is in the boundary area.

Abstract: Embodiments disclosed herein relate to enabling direct wireless device-to-device communication between sleepy end devices (SEDs) of a mesh (e.g., Thread®) network. A router may forward packets between end devices of the mesh network. However, if the router is not available, SEDs may not be able to communicate with each other using a mesh protocol. Embodiments presented herein enable end devices of the mesh network to communicate directly, without a router. Some embodiments are directed to changing a role of an end device to temporarily act as a router for a particular target end device. The role change may be based on a trigger event and may be temporary until a target action is performed by the target end device. In some embodiments, the end devices continue to operate as SEDs and use coordinated sampled listening techniques to communicate via the mesh protocol.

Abstract: Masking a route by determining a first location of a first user, receiving destination data for the first user, generating a plurality of map segments according to the first location and the destination data, presenting a first map segment to a second user, determining a second location of the first user, and presenting a second map segment to the second user according to the second location.

Abstract: Embodiments ralte to a multi-mode demosaicing circuit able to receive and demosaic image data in a different raw image formats, such as Bayer raw image format and Quad Bayer raw image format. The multi-mode demosaicing circuit demosaics Quad Bayer image data by interpolating a green channel of the image data along each of a plurality of directions, generating a gradient of the image data along each of the plurality of directions, modifying the interpolated green channels based on respective gradients to generate full-resolution green channel image data, which is combined with red and blue image data to generate the demosaiced image data. Interpolation is performed for non-green pixels based on neighboring green pixels along a specified direction, modified by a residual value based upon valued of one or more nearby same-color pixels and a correlation between values of the same color pixels and neighboring green pixels.

Abstract: An embodiment includes detecting query data associated with a query, where the query data comprises an active feature and a passive attribute used in a machine learning model, and where the machine learning model is trained to output a predicted result based at least in part on the active feature. The embodiment generates, using a first trained neural network, a digital image based at least in part on the passive attribute, and generates, from the machine learning model, outcome narrative data indicative of an explanation of the predicted result and based at least in part on the active feature. The embodiment then generates, using an image generator, a graphical explanation of the predicted result, the graphical explanation being based at least in part on the outcome narrative data and the digital image.

Abstract: A network architecture may receive situational data. The network architecture may acquire participant data associated with a participant. The network architecture may accept object data associated with an object. The network architecture may generate likelihood of infectiousness of the object based on the participant data and the object data. The network architecture may display the likelihood of infectiousness to one or more users.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention receive a request for a machine learning model and information associated with decisions made by the machine learning model. Embodiments of the present invention can determine one or more machine learning modules that satisfy the received request and create a dedicated traffic channel to send the determined one or more machine learning modules and information associated with the decisions made by the machine learning model. Embodiments of the present invention can transmit the determined one or more machine learning modules and information associated with decisions made by the machine learning model to a computing system using the created, dedicated traffic channel.

Abstract: Various embodiments discussed herein are directed to improving existing technologies by extracting or detecting identifiers from a page, regardless of the device or platform a user is using, and then anonymizing such identifiers to determine if the same user accessed different pages or if the current user of a current computer session is a same user as in past computer sessions.

Abstract: In one general embodiment, a computer-implemented method includes determining when two satellites in low Earth orbit (LEO) and having duplicate instances of data stored thereon will be within a predefined distance of one another. A third satellite is identified to store a replication copy of the instance of data for at least a duration that the two satellites will be within the predefined distance of one another. A copy of the instance of data is caused to be transmitted to the third satellite for storage thereon.

Abstract: Embodiments relate to a multi-mode demosaicing circuit able to receive and demosaic image data in a different raw image formats, such as Bayer raw image format and Quad Bayer raw image format. The multi-mode demosaicing circuit demosaics Quad Bayer image data by interpolating a green channel of the image data along each of a plurality of directions, generating a gradient of the image data along each of the plurality of directions, modifying the interpolated green channels based on respective gradients to generate full-resolution green channel image data, which is combined with red and blue image data to generate the demosaiced image data. Interpolation is performed for non-green pixels based on neighboring green pixels along a specified direction, modified by a residual value based upon values of one or more nearby same-color pixels and a correlation between values of the same-color pixels and neighboring green pixels.

Abstract: Methods for data visibility in nested transactions in distributed systems are performed by systems and devices. Distributed executions of queries are performed in processing systems according to isolation level protocols with unique nested transaction identifiers for data management and versioning across one or more data sets, one or more compute pools, etc., within a logical server via a single transaction manager that oversees the isolation semantics and data versioning. A distributed query processor of the systems and devices performs nested transaction versioning for distributed tasks by generating nested transaction identifiers, encoded in data rows, which are used to enforce correct data visibility. Data visibility is restricted to previously committed data from distributed transactions and tasks, and is blocked for distributed transactions and tasks that run concurrently.

Abstract: A computer-implemented method for processing data connection requests is provided. The computer-implemented method includes receiving a connection request from an edge device and responding to the edge device such that the edge device recognizes that a connection is established and that data cannot be sent. The method further includes receiving a response from the edge device indicative of a connection parameter, determining that the connection is fiber-allocatable in accordance with the connection parameter being of a first connection parameter type, selecting one fiber from a plurality of fibers to have the connection allocated thereto based on one or more rules of fiber selection responsive to the determining that the connection is fiber-allocatable and allocating the connection to the one fiber.

Abstract: Described are techniques including a method comprising detecting a deallocated Input/Output (I/O) queue associated with a first entity in a Non-Volatile Memory Express (NVMe) storage system. The method further comprises broadcasting an Asynchronous Event Request (AER) message indicating I/O queue availability based on the deallocated I/O queue. The method further comprises allocating, in response to the AER message, a new I/O queue to a second entity in the NVMe storage system.

Abstract: A woven structure formed by warp and weft tows A, E of fiber reinforcement material includes: a plurality of multi-warp stacks SA, each including a plurality of warp tows A which are in superposition along a longitudinal extent of the warp stack SA, a plurality of multi-weft stacks SE, each including a plurality of weft tows E which are in superposition along the stack SE, wherein one or more multi-warp stacks SA and/or one or more multi-weft stacks SE has an embedded taper structure, including: an embedded tow A1, A2, E1, E2 which has a terminal portion M1, M2 disposed between two locally outermost tows A0, E0 of the respective stack SA SE, the terminal portion M1, M2 terminating at a taper position D1 D2 along the respective path of the stack SA SE; and a method for manufacturing a composite component.

Abstract: A method for optimizing multi-frame processing model of a neural network includes: receiving a plurality of input frames by a processing engine that is configured to execute a multi frame processing model, the multi frame processing model including a plurality of convolution layers; selecting a pre-determined number of frames from the received plurality of frames for processing by the plurality of convolution layers; determining, as a sequence of frames, at least a preceding frame and a plurality of following frames amongst the selected pre-determined number of frames; removing the preceding frame by processing the sequence of frames using a plurality of filters in the multi frame processing model; and concatenating the plurality of following frames in an order, to the plurality of input frames for subsequent receiving by the multi frame processing model.

Abstract: Techniques for constructing transaction lock wait history showing blocker queries are described. A first transaction referencing a resource saved in a network-based data warehouse is received where the first transaction being blocked due to second transaction accessing the resource. A first telemetry event based on the first transaction being blocked is transmitted. After acquiring lock ownership of the resource by the first transaction, a second telemetry event based on acquiring lock ownership by the first transaction is transmitted.