Abstract: Certain aspects of the present disclosure provide techniques for applying interleaving pre-compensation for random access communications. A method for wireless communications by an apparatus includes obtaining a configuration for pre-compensating at least one transmission associated with at least one random access communication; sending a plurality of transmissions for random access in accordance with the configuration; in response to sending the plurality of transmissions, receiving one or more transmissions; and communicating with a network entity based at least in part on the one or more transmissions.

Abstract: A computer-implemented real-time payment system for clearing and settlement of transactions is described. The real-time payment system is adapted to implement a method of automated liquidity maintenance. The real-time payment system receives transactions for clearing and settlement from a plurality of participants, each of which has a liquidity position in the real-time payment system. At least some of the participants have a funded liquidity position in a central bank. The real-time payment system determines whether the liquidity position of each of the participants meets predetermined rules. If the liquidity position of any of the participants does not meet a predetermined rule applicable when the determination is made, the system requests an adjustment for that liquidity position so that it complies with that predetermined rule. The real-time payment system also coordinates with the central bank to use one of the funded liquidity positions to support that adjustment to a liquidity position.

Abstract: A system and method for detecting unauthorized relocation of endpoint devices are disclosed. The system comprises one or more network security appliances and one or more servers. The one or more network security appliances is configured to collect network environment data associated with each endpoint device of the one or more endpoint devices. The one or more servers is configured to obtain the network environment data from the one or more network security appliances for generating one or more hash values for the network environment data of each endpoint device of the one or more endpoint devices. The system performs a comparative analysis between the one or more hash values to generate a Paranoia-Diff-Score (PDS) for each endpoint device of the one or more endpoint devices to detect the unauthorized relocation of the one or more endpoint devices.

Abstract: In one embodiment, a method includes receiving DC bus voltage conditions of multiple AC to DC converters of an Input-Series-Output-Parallel power converter during a rectification stage; detecting a peak voltage of each of the DC bus of the multiple AC to DC converters has reached a first threshold voltage, and a Phase Loop Lock locked signal; upon detecting that the PLL locked signal, enabling a first voltage regulation to charge an AC to DC output of each of the multiple AC to DC converters to reach a first reference voltage; determining operating conditions including a load condition and an output voltage condition of multiple Dual Active Bridge (DAB) converters, and a monitored voltage of each of the multiple AC to DC converters; enabling a second voltage regulation of each of the multiple DAB converters to charge a DAB output to reach a second reference voltage based on the operating condition.

Abstract: Systems, computer program products, and methods are described herein for extraction of historical data in workflow automation platform architectures. The present disclosure is configured to introduce an advanced approach to historical data extraction from workflow automation platform architectures. At its core, it employs parallel processing, utilizing a multi-threaded asynchronous tool specifically designed within a workflow automation platform architecture framework. This ensures high performance and scalability, enabling easy extraction of large data volumes within designated system maintenance windows without impinging on system performance.

Abstract: A system and method for controlling the operating conditions of an electrolyzer unit receives input data associated with that unit from databases. The system applies a machine learning model on the input data and predicts an operating load condition of the electrolyzer unit for a first time period. The system also determines an operating temperature range for the electrolyzer unit for the first time period based on the operating load condition. The system determines the flow rate of a coolant from a cooling unit to the electrolyzer unit based on the determined operating temperature range and the predicted operating load condition. The system controls the cooling unit to modify the flow rate of the coolant to the electrolyzer unit based on the determined flow rate of the coolant to maintain the determined operating temperature range.

Abstract: Embodiments of the disclosure describe a method for transferring profile information associated with a physical subscriber identity module (pSIM) of a first electronic device to an embedded SIM (eSIM) of a second electronic device. The method includes creating an enhanced feature short message delivery point (EF-SMDP) file directory in a memory associated with the pSIM. The method includes obtaining eSIM identity (EID) and international mobile equipment identity (IMEI) associated with the eSIM by utilizing a first connection. The method includes sending a first request directly to a subscription manager data preparation (SMDP) server. The method includes obtaining an authorization from the SMDP server for the first request, the first electronic device stores the profile information in a virtual Local Profile Assistant (LPA) module. The method includes transferring the profile information from the virtual LPA module to the eSIM over the first connection.

Abstract: A data privacy system and method is disclosed. The method includes providing at least one processor, at least one memory device including computer-readable instructions, and at least one user device in communication with the at least one processor via a network connection. The at least one processor, upon execution of the computer-readable instructions, is configured to generate a predictive model during training of a machine learning program using a training data set including a personal data set of one or more users. The predictive model is configured to predict at least one predicted data privacy and/or data portability measure of at least one of the users. At least one quick response code embedded with data or a link to the data based upon the at least one predicted data privacy and/or data portability measure is generated to provide enhanced data privacy protection and data portability.

Abstract: An inverter circuit, usable in a clock buffer circuit, includes a main inverter stage having a first transistor of a first conductivity type coupled in series with a second transistor of a second conductivity type, wherein control electrodes of the first and second transistors are coupled to an input node and first current electrodes of the first and second transistors are coupled at an output node. The inverter circuit also includes a first set of additional transistors of the first conductivity type, a second set of additional transistors of the second conductivity type, and a set of switches configured to connect a first transistor of the first set of additional transistors in series with the first transistor for a first time period while connecting a first transistor of the second set of additional transistors in parallel with the second transistor during the first time period.

Abstract: In Microwave radar imaging, obtaining high resolution microwave image from materials remains a challenge due to comparatively longer wavelength. Embodiments of the present disclosure provide a system for microwave imaging by Multiple-Input and Multiple-Output along with Synthetic Aperture Radar. A back-scattered signal is received from object at a target as an input. The back-scattered signal is rearranged to generate sub-array elements. A Fourier transform of the sub-array elements is computed by deploying two dimensional Fast Fourier transform to obtain two dimensional Fast Fourier transform of the sub-array elements. The 2D FFT of the sub-array elements is vectorized to obtain vectorized stacked sub-array matrix. The stacked sub band of the 2D FFT of the entire aperture array is reordered to obtain a two dimensional Fast Fourier transform of the entire aperture array. Three-dimensional reflectivity function of the target is estimated from the 2D FFT of the entire aperture array.

Abstract: A light emitting device (LED) comprises a substrate, an anode layer disposed on the substrate, a hole injection layer disposed on the anode layer, a hole transport layer disposed on the hole injection layer, an emitting layer disposed on the hole transport layer, an electron transport layer disposed on the emitting layer, and a cathode layer disposed on the electron transport layer. At least one of the anode layer and the cathode layer is transparent. The emitting layer comprises a mixture of luminescent nanoparticles and an insulating material.

Abstract: A server of a livestreaming platform includes a circuitry configured to: hold, in a holding unit, a user ID for identifying a user on the livestreaming platform and livestreamer-of-interest IDs for identifying livestreamers of interest registered by the user as livestreamers that the user is interested in, in association with each other; and divide, in a processing unit, the livestreamers of interest into notification-allowed livestreamers of interest and other livestreamers of interest, a predetermined activity by the notification-allowed livestreamers of interest on the livestreaming platform triggering transmission of a notification to the user by the server.

Abstract: The disclosure relates to methods of preparing soybean explants. During explant preparation, mature seeds are typically first imbibed in water. Instead of using dry seeds directly for imbibition, the moisture content of the seeds is first partially increased. The provided methods significantly diminish imbibition-caused soybean seed cracking and improve explant viability.

Abstract: Exemplary systems, methods and computer-accessible medium according to the exemplary embodiments of the present disclosure are provided for determining bias in at least one large language model (LLMs). Thus, exemplary systems, methods, and computer-accessible medium can receive a plurality of baseline resumes, create or generate a plurality of flagged resumes from the plurality of baseline resumes, create or generate a resume corpus from the plurality of baseline resumes and the plurality of flagged resumes, input the resume corpus into the LLM, receive an LLM classification output for the resume corpus, and measure a LLM bias based on the classification output.

Abstract: Implementations disclosed describe, among other things, a systems and techniques for perform efficient inspection of a semiconductor manufacturing sample. The techniques include collecting optical inspection data for training sample(s) that have a plurality of defects. The techniques further include generating, using the optical inspection data, a training data set that includes descriptions, images, and ground truth classifications for the defects. The techniques further include using the training data set to train a plurality of machine learning (ML) classifiers to generate predicted classifications for the defects in the training sample(s). The techniques further include selecting, using the predicted classifications and the ground truth classifications, one or more ML classifiers that meet one or more accuracy criteria, and using the selected ML classifier(s) to classify defects in the semiconductor manufacturing sample.

Abstract: In various examples, disclosed techniques use a banding detector neural network to identify the locations and sizes of banding artifacts in pixel regions of an input image. The neural network generates a band size map that identifies at least one banding artifact in the input image. The band size map can include a set of predicted band size values, each of which corresponds to a respective pixel of the input image and represents a distance between edges of a banding artifact. The band size map and the input image are provided as input to a stochastic bilateral blur filter, which generates a de-banded image by applying blurring effects to the input image at the band locations indicated by the band size map. An inverse tone mapping operation is then performed to convert the de-banded image to an image that does not have banding artifacts.

Abstract: The current document is directed to an IaC cloud-infrastructure-management service or system that automatically generates schema for cloud-infrastructure-specification-and-configuration files used by integrated development environments (“IDEs”), associated with the IaC cloud-infrastructure-management service or system, for autocompletion and validation. The IaC cloud-infrastructure management service or system accesses cloud-provider plug-ins to collect information and then encodes collected information regarding resource types, resource-type-associated functions and function arguments, cloud-infrastructure-specification-and-configuration data-file syntax, and other relevant information into cloud-infrastructure-specification-and-configuration data-file schemas. The schemas are input to integrated IDEs to control autocompletion and cloud-infrastructure-specification-and-configuration data-file validation.

Abstract: A system for implementing traceability to a data item comprises a user device and a gateway server. The user device appends headers to a data packet that includes the data item. The headers comprise parameters including origin information associated with the user device and a user. The gateway server receives the data packet and compares each parameter with a counterpart parameter from a list of expected parameters. The gateway server determines whether more than a threshold number of the parameters corresponds to counterpart parameters from among the list of expected parameters. In response to determining that more than the threshold number of the parameters correspond to counterpart parameters from among the list of expected parameters, the gateway server appends a second header to the data packet, where the second header indicates that the data packet is verified. The gateway server communicates a request message that includes the data packet.

Abstract: The present invention is related to data processing methods and systems thereof. According to an embodiment, the present invention provides a method of processing claim deduction documents using a machine learning model. The process begins by accessing data files and extracting information from them, which is subsequently stored. This document information, along with the machine learning model trained on various document formats, is used to classify the data files and generate tabular data. From this tabular data, data objects are created and included in an output data file. The information from the output file is then used to update the data of the machine learning model, optimizing it for improved future document processing. There are other embodiments as well.

Abstract: Methods and systems for object detection include generating a negative description for an input image of a road scene, based on a positive description of the input image, using a language model. A negative image is generated based on the input image and the negative description by replacing a portion of the input image that is described by the positive description with content that is described by the negative description using a generative image model. An object detection model is trained with the input image, the positive description, the negative description, and the negative image. An object is identified within a driving scene using the trained object detection model. A driving action is performed in a self-driving vehicle responsive to the identified object.