Abstract: A method for ammonia (NH3) decomposition to hydrogen (H2) and nitrogen (N2) includes introducing and passing a H2-containing feed gas stream into a reactor containing an industrial waste-based nickel (Ni-SMR) catalyst at a temperature of 500 to 900° C. to form a reduced Ni-SMR catalyst; introducing and passing an NH3-containing feed gas stream through the reactor in contact with the reduced Ni-SMR catalyst at a temperature of 100 to 1000° C. thereby converting at least a portion of the NH3 to H2 and regenerating the Ni-SMR catalyst particles to form a regenerated Ni-SMR catalyst, and producing a residue gas stream leaving the reactor; and separating the H2 from the residue gas stream to generate a H2-containing product gas stream.

Abstract: This disclosure relates to method and system for generating user role-specific responses through Large Language Models (LLMs). The method includes receiving a user query from a user account. The user account is associated with a user role from a plurality of user roles. The method includes combining, based on the user role, the user query with contextual information corresponding to the user query to obtain a combined query. The method includes inputting the combined query to an LLM. The method includes generating a user role-specific response corresponding to the combined query through the LLM. The method includes rendering the user role-specific response to a display of a user device associated with the user account.

Abstract: The disclosure relates to a method and system for dynamically mitigating threats of generative Artificial Intelligence (AI) models. Conventional systems often suffer from inefficiencies due to sequentially applying threat detection checks leading to unnecessary preprocessing and increased computational demands. Additionally, such systems typically focus only on input data, neglecting potential threats in outputs. The disclosed system and method addresses these drawbacks by employing a hierarchical structure of macro and nano classifiers. The system utilizes macro classifiers for broad initial threat categorization followed by specialized nano classifiers for detailed analysis of specific threat subtypes, thereby optimizing processing time and computational resources. The system operates in real time, applying predefined moderation rules to both input and output data to ensure comprehensive threat mitigation.

Abstract: This disclosure relates to a method and a system for providing real-time assistance to a user using a generative AI model. The method includes receiving by the generative AI model, a user query corresponding to an activity. The user query includes one or more multi-modal inputs. The generative AI model is pretrained based on a set of predefined policies associated with an entity. The method further includes processing in real-time, by the generative AI model, the user query to determine a type of the user query based on the activity. The method further includes providing, by the generative AI model, assistance to the user in real-time by generating instructions in response to the processing of the user query.

Abstract: An object detection system for use in residential or commercial buildings includes a housing for retaining a camera, a radar antenna, and an actuator. The camera has a first field of view, and the radar antenna has a second field of view. The actuator is configured to selectively move the camera. The system further includes computer memory and a processor in data communication with the camera, the radar antenna, the actuator, and the computer memory. The processor, using programming contained in the computer memory, causes the camera to move based on camera position data and data from the radar antenna.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to determine an estimated pose of a vehicle in a global reference frame having a first error and to determine an estimated second error based on a combination of the first error and a map error, in which the map error represents a difference between the estimated pose of the vehicle in the global reference frame and a corresponding estimated pose in a map-referenced frame. The stored instructions being additionally to predict a third error in a future map-referenced measurement frame based on the estimated second error and a motion model and to compute an update to the third error by combining the predicted third error with an accumulation of instantaneous vehicle position and heading errors obtained via a comparison between a camera-observed feature and a corresponding feature from a digital map.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to determine an estimated pose of a vehicle in a global reference frame having a first error and to determine an estimated second error based on a combination of the first error and a map error, in which the map error represents a difference between the estimated pose of the vehicle in the global reference frame and a corresponding estimated pose in a map-referenced frame. The stored instructions being additionally to predict a third error in a future map-referenced measurement frame based on the estimated second error and a motion model and to compute an update to the third error by combining the predicted third error with an accumulation of instantaneous vehicle position and heading errors obtained via a comparison between a camera-observed feature and a corresponding feature from a digital map.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800°° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° ° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.

Abstract: A method and system for automatic technical assistance is provided. The technical assistant is first trained using the user profile of the users who will be accessing the technical assistant, and the workflow details. The technical assistant continuously monitors user screen and checks if the user is on the correct screen for the required workflow. Based on user confirmation an RPA bot resolves the error for the user. In an embodiment, the bot completes the workflow for the user. The bot may also provide guidance content to the user to help the user realize the error.

Abstract: A power detector for measuring the radio frequency (RF) power of RF signals generated by a transmitter or a power amplifier of a transmitter is connected between two diodes of electrostatic discharge (ESD) circuitry that is connected to a signal pathway utilized to transmit the RF signals.

Abstract: A RFDAC comprising an array of unit-cell power amplifiers, wherein the array comprises a first plurality of unit-cell power amplifiers, a second plurality of unit-cell power amplifiers, and a third plurality of unit-cell power amplifiers; wherein the first plurality of unit-cell power amplifiers are configured to operate in accordance with a first clock; wherein the second plurality of unit-cell power amplifiers are configured to operate in accordance with a second clock; wherein the third plurality of unit-cell power amplifiers are configured to operate in accordance with the first clock or the second clock. The RFDAC also comprising a decoder configured to output the first clock and an enablement signal of the first clock for the first plurality; output the second clock and an enablement signal of the second clock for the second plurality; distinguish between the first clock and the second clock for the third plurality.

Abstract: A process for converting a feedstock including dicyclopentadiene to monoaromatic hydrocarbons, the process including providing a hydrocracking catalyst including a zeolite support having an average pore diameter of 5 to 13 nanometers, such as 9 to 12 nanometers, and greater than 3 to 15 weight percent, such as 5 to 15 weight percent of molybdenum tungsten, nickel, cobalt, platinum, palladium, or a combination comprising at least one of the foregoing impregnated on the zeolite support based on a total weight of the hydrocracking catalyst: and contacting the feedstock with the hydrocracking catalyst in the presence of hydrogen to provide a reaction product stream including the monoaromatic hydrocarbons converted from the dicyclopentadiene.

Abstract: Described are systems and methods for detecting objects using calibrated imaging devices and obfuscating, in real-time or near real time, portions of the video data to protect the privacy of operators represented in the video data. For example, a position of an operator within a fulfillment center may be determined or tracked in video data and the pixels representative of that operator may be obfuscated using pixilation and/or other techniques so that a reviewing agent that is viewing the video data cannot determine the identity of the operator. Such obfuscation may be performed in real-time or near real-time using automated processing. In addition, only portions of the video data may be obfuscated so that events (e.g., item picks, item place) and/or other objects represented in the video data are still viewable to the reviewing agent.

Abstract: A system and method to create a robust topology of a layout of cores for performing a function on an array of cores arranged in a grid is disclosed. A defective core file of location of defective cores in the array and an optimal ideal topology of a configuration layout of at least some of the cores is input. The location of at least one defective core of the array is determined. At least some of the cores in the array of cores are assigned to the optimal initial topography of cores in the array. It is determined whether at least one defective core is in the optimal initial topography. The functions of the cores in the row and the column of the at least one defective core are assigned to additional neighboring cores in the array of cores to create the robust topology.

Abstract: A method for chemically reducing carbon dioxide (CO2) with a red mud catalyst composition is provided includes introducing a gaseous mixture of CO2 and H2 into a reactor containing particles of the red mud catalyst composition. The method further includes reacting at least a portion of the CO2 and H2 in the gaseous mixture in the presence of the red mud catalyst composition at a temperature of 200 to 800° C., and under a pressure ranging from 5 to 100 bar to form a gaseous product including a chemical reduction product of the CO2. A volume ratio of the CO2 to the H2 in the gaseous mixture is in a range of 1:10 to 10:1.