Abstract: An information handling system may establish a secure channel between an embedded controller and a processor, and request access to a resource of the embedded controller through the secured channel. The system may also receive a response to the request via the secure channel, wherein the response is based on the embedded controller validating whether the processor has a right to access the resource.

Abstract: Disadvantage of existing fault detection approaches is that they fail to diagnose types and magnitudes of faults and to take into consideration uncertainties that arise due to various factors such as, but not limited to, sensor noise and model inaccuracies. System and method disclosed in the embodiments herein provide Bayesian regression-based fault detection and diagnosis in wind turbine sensors and actuators. In the process, the system generates one or more fault signature distributions and associated magnitude and uncertainty, wherein the one or more fault signature distributions is indicative of one or more probable faults in the wind turbine sensor and the actuator.

Abstract: Described herein are methods for converting toluene to benzene and xylene. The methods include contacting a stream comprising toluene with a hierarchical zeolite catalyst in the presence of hydrogen gas to produce the benzene and xylene via toluene disproportionation. The hierarchical zeolite catalyst includes mesoporous Mordenite. The mesoporous Mordenite includes a plurality of mesopores and at least a portion of the plurality of mesopores are uniformly arranged in an MCM-41 framework.

Abstract: A method for producing one or more of benzene, toluene, or xylene may include contacting a feed stream including C9+ alkylaromatic hydrocarbons with a catalyst mixture to form one or more of benzene, toluene, or xylene. The catalyst mixture may include mesoporous zeolite Beta, ZSM-5 zeolite, one or more active metals, and binder material. The feed stream may include C9+ alkylaromatic hydrocarbons in an amount of at least 10 wt. %. The weight ratio of mesoporous zeolite Beta to ZSM-5 zeolite may be from 2 to 4.

Abstract: An integrated process for producing para-xylenes may include catalytically reforming a naphtha feed stream; separating the reformate stream into a C1-C7 hydrocarbon stream and a C8+ hydrocarbon stream; exposing the C1-C7 hydrocarbon stream to a first solvent in a solvent extraction unit to form a non-aromatic hydrocarbon stream and an aromatics stream; upgrading the aromatics stream to form a toluene-rich transalkylation feed stream; separating the C8+ hydrocarbon stream into a C9+ hydrocarbon stream, a para-xylene stream and a xylene isomer stream; dealkylating the C9+ hydrocarbon stream; separating the dealkylation product stream into an additional xylene stream and a tri-methyl benzene rich stream; and upgrading the toluene-rich transalkylation feed stream and the tri-methyl benzene rich stream with a hydrogen stream to produce an alkyl-benzene stream and additional xylene stream, wherein a ratio by weight of the toluene-rich transalkylation feed stream to the tri-methylbenzene rich stream is from 0.

Abstract: Aspects of the disclosure relate to processing queries and commands. A computing platform may receive a command input configured in a first format. The computing platform may input the command input into a natural syntactic language processor configured to extract parameters from the command input. The computing platform may input the command input into a decision system configured to identify a command type of the command input. The computing platform may generate, using a mapping catalogue and based on the parameters and the command type, an output command formatted in a second format. The computing platform may execute, against a binary store configured in the second format, the output command to obtain results to the command input. The computing platform may send commands directing an enterprise user device to display the results, which may cause the enterprise user device to display the results.

Abstract: A method for producing one or more of benzene, toluene, or xylene may include contacting a feed stream including C9+ alkylaromatic hydrocarbons with a catalyst mixture to form one or more of benzene, toluene, or xylene. The catalyst mixture may include mesoporous zeolite Beta, ZSM-5 zeolite, one or more active metals, and binder material. The feed stream may include C9+ alkylaromatic hydrocarbons in an amount of at least 10 wt. %. The weight ratio of mesoporous zeolite Beta to ZSM-5 zeolite may be from 2 to 4.

Abstract: A process of producing a mesoporous beta zeolite includes mixing a crystalline beta zeolite with one or more solvents, cetyltrimethylammonium bromide, and metal hydroxide to produce a solution, heating the solution at a temperature of from 50° C. to 150° C. to convert the crystalline beta zeolite to a non-crystalline material with reduced silica content relative to the crystalline beta zeolite, cooling the solution to a temperature of from 25° C. to 40° C., adjusting the pH of the solution to from 8 to 10 by adding an acid, and aging the solution at a temperature of from 50° C. to 150° C. for a time period sufficient to crystalize the non-crystalline material to produce beta zeolite particles.

Abstract: An information handling system may establish a secure channel between an embedded controller and a processor, and request access to a resource of the embedded controller through the secured channel. The system may also receive a response to the request via the secure channel, wherein the response is based on the embedded controller validating whether the processor has a right to access the resource.

Abstract: A process for upgrading a hydrocarbon feed includes contacting the hydrocarbon feed with steam in the presence of a cracking catalyst at reaction conditions sufficient to cause at least a portion of hydrocarbons in the hydrocarbon feed to undergo one or more cracking reactions to produce a steam catalytic cracking effluent comprising light olefins, light aromatic compounds, or both. The cracking catalyst is hierarchical mesoporous ZSM-5 zeolite. The hierarchical mesoporous ZSM-5 zeolite is made by providing a starting ZSM-5 zeolite, disintegrating the a portion of the starting ZSM-5 in the presence of a surfactant using sodium hydroxide, and then recrystallizing the zeolite constituents in the presence of the surfactant to produce recrystallized ZSM-5 zeolite. The recrystallized ZSM-5 zeolite is then recovered and calcined to produce the hierarchical mesoporous ZSM-5 zeolite.

Abstract: A process of producing a catalyst comprises forming mesoporous beta zeolite particles, impregnating mesoporous beta zeolite particles with a metal and phosphorus to produce a metal and phosphorus impregnated zeolite, and incorporating the metal and phosphorus impregnated zeolite with clay and alumina to produce the catalyst. The forming step comprises converting a crystalline beta zeolite to a non-crystalline material with reduced silica content relative to the crystalline beta zeolite, and crystalizing the non-crystalline material to produce mesoporous beta zeolite particles.

Abstract: A process for upgrading crude oil through steam enhanced catalytic cracking includes contacting crude oil with steam and a cracking catalyst at a mass ratio of steam to crude oil of 0.2-1. The cracking catalyst is a hierarchical mesoporous ZSM-5 zeolite impregnated with phosphorous, cerium, lanthanum, and iron. Contacting the crude oil with steam and the cracking catalyst cracks a portion of the crude oil to produce light olefins, light aromatic compounds, or both. The cracking catalyst is prepared by partially disintegrating a starting ZSM-5 zeolite in a first mixture comprising sodium hydroxide and a surfactant and, after the disintegrating, recrystallizing zeolite constituents in the presence of the surfactant to produce a recrystallized ZSM-5 zeolite having a hierarchical pore structure. The recrystallized ZSM-5 zeolite is recovered and calcined to produce the hierarchical mesoporous ZSM-5 zeolite, which is then impregnated with the phosphorous, lanthanum, cerium, and iron.

Abstract: This disclosure relates generally to method and system for maximizing space utilization in a building. Due to current pandemic scenario many organizations eventually need to plan for the return of employees to office space ensuring biosafety. The challenge of maximizing the office space utilization ensuring occupants biosafety and comfort thereby minimizing HVAC energy consumption is necessary. The method utilizes two heuristic approaches for determining maximum allowable occupants placement in the open plan space using an optimal occupant placement technique. This minimizes the HVAC energy if the actual count is lesser than the possible maximum occupants can be placed which further optimizes energy using a joint actuator control technique. Additionally, the proposed two heuristic approaches improve space utilization for the infection rate ensuring bio safety.

Abstract: Aspects of the disclosure relate to processing queries and commands. A computing platform may receive a command input configured in a first format. The computing platform may input the command input into a natural syntactic language processor configured to extract parameters from the command input. The computing platform may input the command input into a decision system configured to identify a command type of the command input. The computing platform may generate, using a mapping catalogue and based on the parameters and the command type, an output command formatted in a second format. The computing platform may execute, against a binary store configured in the second format, the output command to obtain results to the command input. The computing platform may send commands directing an enterprise user device to display the results, which may cause the enterprise user device to display the results.

Abstract: Aspects of the disclosure relate to processing queries and commands. A computing platform may receive a command input configured in a first format. The computing platform may input the command input into a natural syntactic language processor configured to extract parameters from the command input. The computing platform may input the command input into a decision system configured to identify a command type of the command input. The computing platform may generate, using a mapping catalogue and based on the parameters and the command type, an output command formatted in a second format. The computing platform may execute, against a binary store configured in the second format, the output command to obtain results to the command input. The computing platform may send commands directing an enterprise user device to display the results, which may cause the enterprise user device to display the results.

Abstract: Traditionally, benchmarking of asset performance involves comparing actual performance with ideal values that correspond to test conditions which may not be realized in practice leading to inappropriate ranking of the assets. Systems and methods of the present disclosure use condition-aware reference curves for estimating the maximum possible operating efficiencies (under specific operating conditions) instead of the theoretical maximum efficiencies. The reference curves are received from the manufacturer or obtained from on-site test results. Benchmarking is then performed based on two dimensions, viz., an inter-asset metric and an intra-asset metric that are analogous to the first law and second law of thermodynamics respectively. The two-dimensional benchmarking then helps in identifying inefficient assets that may be analyzed further for finding the root cause.

Abstract: The present disclosure provides a method and a system for estimating capacity and usage pattern of behind-the-meter energy storage in electric networks. Conventional techniques on estimating an effective capacity of behind-the-meter energy storage of a consumer, in presence of distributed energy generation units is limited, computationally intensive and provide inaccurate prediction. The present disclosure provides an accurate estimate of the effective capacity and usage pattern of behind-the-meter energy storage of a target consumer utilizing data samples received from a utility in presence of one or more distributed energy generation units, using an energy balance equation with less computation and accurate prediction. Based on accurate estimation of the effective capacity and usage pattern, the utility may plan for proper infrastructure to meet power demands of the consumers.

Abstract: This disclosure relates generally to method and system for maximizing space utilization in a building. Due to current pandemic scenario many organizations eventually need to plan for the return of employees to office space ensuring biosafety. The challenge of maximizing the office space utilization ensuring occupants biosafety and comfort thereby minimizing HVAC energy consumption is necessary. The method utilizes two heuristic approaches for determining maximum allowable occupants placement in the open plan space using an optimal occupant placement technique. This minimizes the HVAC energy if the actual count is lesser than the possible maximum occupants can be placed which further optimizes energy using a joint actuator control technique. Additionally, the proposed two heuristic approaches improve space utilization for the infection rate ensuring bio safety.

Abstract: Example methods, apparatuses, and systems are disclosed for ingesting and consuming data utilizing a trading partner manager. In one example embodiment, an example computing device receives user input comprising a set of data fabric configurations. The computing device then receives, into a data landing zone and based on the data fabric configurations, a data set from a data source. The computing device then ingests, based on the data fabric configurations, the received data set from the data landing zone into a data lake. The computing device then enriches, based on the data fabric configurations, the ingested data set. The computing device then enables data consumption of the ingested data set by the user.

Abstract: Various fault types occurring at multiple possible locations in the solar panel network are simulated using the network simulation model. The dataset covering multiple fault scenarios and multiple no-fault scenarios is determined for training the CNN model. The fault scenarios include one fault type alone at particular location or multiple locations, as well as multiple fault types at multiple locations. The fault types include a short circuit fault, an open circuit fault, a shading fault, a soiling fault, a hot-spot fault, an arc fault, a degradation fault, and a clipping fault, the short circuit fault comprises a line-line fault, and a line-ground fault The convolutional neural network (CNN) model is trained with fault datasets and no-fault datasets covering various fault sensors and no-fault scenarios to generate the FDDL model. The fault datasets and no-fault datasets are determined based on the network simulation model of the solar panel network.