Abstract: The techniques disclosed herein enhance software testing through automated test case generation and implementation. This is accomplished through utilizing a natural language interface and a generative probabilistic model, such as a large language model. A first user input can provide descriptions of a software feature to be tested and various use cases for the software feature. Accordingly, the probabilistic model generates a plurality of test cases for evaluating various aspects of the software feature in accordance with the first user input. The natural language descriptions can be accompanied by a contextual input to constrain the probabilistic model and ensure consistent outputs. Subsequently, a second user input selects a test case from the generated test cases to be implemented. In response, the probabilistic model generates a software implementation of the selected test case. The software implementation is then executed with log data extracted from the testing environment for processing results.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN that connects multiple sites each having at least one router. The method is performed at a first router at a first site. From a second router at a second site, the method receives a file, that includes a set of segment identifiers corresponding to a set of segments stored by the first router, in an optimized first data stream originating from a source device at the second site and destined to a destination device at the first site. For each segment identifier in the set, the method attempts to retrieve a corresponding segment from a kernel memory of the first router. When the corresponding segment is not stored in the kernel memory, the method performs an operation to DMA the segment into the kernel memory from a disk storage of the first router.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN. The method is performed in a kernel space of a first router at a first site. From a second router at a second site, the method receives, in an optimized data stream from a second site source device to a first site destination device, a file including compressed segments not yet stored by the first router, and copies the compressed segments to a memory shared with a decompression program in the first router's user space. For each compressed segment, the method receives a notification that a decompressed segment obtained by decompressing the compressed segment has been written to a disk storage of the first router, the notification including a block address for the decompressed segment, and updates a cache of the first router with an entry mapping the decompressed segment to the block address.

Abstract: Some embodiments of the invention provide a WAN optimization method for optimizing traffic flows through a WAN connecting multiple sites each having at least one router. The method is performed in a kernel space of a first router at a first site. From a second router at a second site, the method receives, in an optimized data stream originating from a source device at the second site and destined to a destination device at the first site, a file including compressed segments not yet stored in a database of the first router. The method copies the compressed segments to a shared memory used with a decompression program operating in the first router's user space. For each compressed segment, the method receives, from the decompression program, a decompressed segment obtained by decompressing the compressed segment, and stores the decompressed segment in a kernel space memory for use in processing the file.

Abstract: A data replication and switching device and method, including a plurality of data communication ports, a management port, at least one replicator respectively associated with the data communication port, a Layer 1 (“L1”) switch, and a L1 bypass. At least some data received via the at least one of the plurality of ports can be routed to at least one of the plurality of data communication ports and, in response to the configuration data received via the at least one management port, the data replication and switching device can route at least some of the data received via the data communication port to bypass the L1 switch or to route at least some of the data received via the data communication port to the L1 switch.

Abstract: A computer-implemented method of reducing scatter in an X-ray projection image of an object comprises: generating an initial X-ray projection image with an imaging beam and an X-ray detector; based on a first position in a detector array of the X-ray detector, selecting a first kernel for convolution of a first portion of the initial projection image, wherein the first position corresponds to the first portion of the initial projection image; based on a second position in the detector array of the X-ray detector, selecting a second kernel for convolution of a second portion of the initial projection image, wherein the second position corresponds to the second portion of the initial projection image; convolving the first portion with the first kernel and the second portion with the second kernel to generate a scatter component of the initial X-ray projection image; and generating a corrected X-ray projection image by removing the scatter component from the initial X-ray projection image.

Abstract: A gas compressing system including a plurality of n compressors connected in parallel. Each compressor has a suction line connected to a common suction manifold and a discharge line connected to a common discharge manifold configured to deliver compressed gas to a downstream load. The system also includes a process controller configured to control an average speed of the compressors based upon a discharge pressure in the common discharge manifold or a discharge flow through the common discharge manifold. The system further includes an adaptive load sharing optimizing controller configured to determine the speed of each compressor in the plurality of n compressors. A method of controlling a gas compressing system is also provided.

Abstract: A method of automatically tuning a proportional-integral-derivative (PID) controller (102) controlling a DC-DC converter (100) includes substituting the PID controller (102) with a modified relay feedback test (MRFT) (104) controller having a threshold parameter (?) and a magnitude parameter (h), iteratively determining a current error signal (e[k]) by measuring an output voltage (Vo[k]) of the DC-DC converter (100) and comparing it to a desired reference output voltage (Vo-ref), input the error signal (e[k]) to the MRFT (104), determining an output value (u[k]) of the MRFT, update the duty cycle (D) based on the output value (u[k]), operating the DC-DC converter (100) using the updated duty cycle (D), exciting oscillations in the loop containing the MRFT (104) and the DC-DC converter (100), measuring a frequency (?0) and amplitude (?0) of the output voltage (Vo[k]), updating PID controller parameters based on the frequency (?0) and amplitude (?0), and substituting the MRFT (104) with the PID controller (102)

Abstract: A low sidelobe beam forming method and dual-beam antenna schematic are disclosed, which may preferably be used for 3-sector and 6-sector cellular communication system. Complete antenna combines 2-, 3- or 4-columns dual-beam sub-arrays (modules) with improved beam-forming network (BFN). The modules may be used as part of an array, or as an independent 2-beam antenna. By integrating different types of modules to form a complete array, the present invention provides an improved dual-beam antenna with improved azimuth sidelobe suppression in a wide frequency band of operation, with improved coverage of a desired cellular sector and with less interference being created with other cells. Advantageously, a better cell efficiency is realized with up to 95% of the radiated power being directed in a desired cellular sector.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data regarding interference detected in a received communication signal, and performing polarization adjusting by rotating one or more radiating elements of an antenna system such that an impact of the interference on the antenna system is minimized. Other embodiments are disclosed.

Abstract: Aspects are provided for generation and transmission of MDMRS which allow matching of nonlinear model impact or properties between DMRS and data in DFT-s-OFDM waveforms as well as CP-OFDM waveforms. A UE transmits, to a network entity, an MDMRS generated from a DMRS. The MDMRS has a PAPR distribution matching a PAPR distribution of a signal including data in an uplink channel. A target PAPR of the MDMRS is based on a modulation scheme of the data. The UE also transmits the data in the uplink channel, where the uplink channel includes a PUCCH or a PUSCH. As a result of the ability of MDMRS to match the nonlinear impact of DMRS and PUSCH or PUCCH, the network entity may compensate for any EVM that may occur as a result of PAPR reduction by a nonlinear operator of the UE, and communication performance may thereby be improved.

Abstract: A method and a server for generating textual representations of a user utterance are provided. The method comprises: acquiring an audio signal being an audio representation of the user utterance, the user utterance being in response to a given machine-generated utterance previously outputted by the electronic device to the user; acquiring a machine-generated text string being a textual representation of the given machine-generated utterance; generating, using a Speech-to-Text (STT) model, an other text string based on the audio signal and the machine-generated text string, the other text string being a textual representation of the user utterance while taking into account the machine-generated text string as a context of the user utterance.

Abstract: Systems and methods of database optimization and distributed computing using thin locator style records are described herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, generating standardized inventory records received via the remote agents, generating a database of available inventory that comprises complete standardized inventory records, generating thin locator style records for the complete standardized inventory records, the thin locator style records comprising key record identifiers receiving a query, the query comprising a price quote request, generating a standardized query based on the received query; selecting the thin locator style records in response to the standardized query; obtaining the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and providing the complete inventory records to a requestor.

Abstract: The present disclosure relates to fusion proteins including an iron-sulfur protein (e.g., cholesterol 7-desaturase (C7D)) and a ferredoxin reductase (e.g., KshB) that can efficiently convert cholesterol to 7-dehydrocholesterol (7-DHC) in vivo. Also disclosed herein are engineered microbes (e.g., E. coli) expressing the fusion proteins and methods of use thereof.

Abstract: The present invention relates to a synchronous DC-DC power converter which may include a conversion cell including a number of switches and a single inductor, and a controller. The controller is configured to control a cycle of conversion of the conversion cell of the converter with multiple phases by controlling each of the switches.

Abstract: A training signal generator for forming an input signal for an ADC-under-test includes a one-bit DAC and an analog low-pass filter. The one-bit DAC converts a binary sequence into a DAC output signal that is then filtered by the analog low-pass filter to form an ADC input signal. The ADC-under-test converts the ADC input signal into an ADC output signal. A digital low-pass filter converts the binary sequence into a plurality of samples. A digital signal processing system processes the plurality of samples and the ADC output signal to form an estimate of the ADC input signal. An ADC linearizer may then be trained to characterize a non-linear impairment of the ADC-under-test responsive to a comparison of the estimate of the ADC input signal and the ADC output signal.

Abstract: Technology is disclosed for systems and methods for an Evacuation Simulation module generates vehicle trip time and time-series road congestion metrics for vehicles in hypothetical evacuation scenarios. The outputs of the module can be used to understand total clearance time for a neighborhood or region, choke points and areas of worst congestion, individual vehicle routes and trip times, and effects of scenario constraints and mitigation efforts such as road closures, notification urgency, evacuation sequencing, and contraflow. The module contains a large number of input parameters and utilizes high granularity data to model a wide range of specific evacuation scenarios. The model utilizes a novel approach to calculating traffic congestion and a novel application of AI methodology to incorporate human input into the workings of the model.

Abstract: A position sensor of an instrument provides a signal indicating a real-time position and orientation of a distal portion of the instrument in response to an electromagnetic field. A processor drives a display screen to display an image of an anatomical region of a patient. The processor processes signals from the position sensor to determine the real-time position and orientation of a distal portion of the instrument within the patient, then provides a first indicator on the image to indicate the real-time position of the distal portion of the instrument within the patient. The processor also provides a second indicator on the image, indicating the real-time orientation of the distal portion of the instrument within the patient. The second indicator includes virtual illumination of an anatomical structure within the image. The virtually illuminated anatomical structure includes a structure toward which the distal portion of the instrument is oriented.

Abstract: Systems and methods described herein relate to self-supervised scale-aware learning of camera extrinsic parameters. One embodiment processes instantaneous velocity between a target image and a context image captured by a first camera; jointly training a depth network and pose network based on scaling by the instantaneous velocity; produce depth map using the depth network; produce ego-motion of the first camera using the pose network; generate synthesized image from the target image using a reprojection operation based on the depth map, the ego-motion, the context image and camera intrinsics; determine photometric loss by comparing the synthesized image to the target image; generate photometric consistency constraint using a gradient from the photometric loss; determine pose consistency constraint between the first camera and a second camera; and optimize the photometric consistency constraint, the pose consistency constraint, the depth network and the pose network to generate estimated extrinsic parameters.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a wireless communication device (WCD) may use training data associated with distortion of sensing signals. Some aspects more specifically relate to correcting distortion from a sensing signal in association with the training data. In some examples, the training data may include distortion measured in an environment without a sensing target. In some examples, the training data may include distortion measured via a dedicated hardware path within the WCD. The WCD may use the training data to identify whether an object is present or may use the training data to remove distortion from a sensing signal.