Abstract: An integrated circuit (IC), including a recording circuit and a clocking system, is provided. During a capture phase of an at-speed testing of the IC, the recording circuit records a number of clock pulses of a test clock signal and generates configuration data indicative of the recorded number of the clock pulses. The clocking system receives a reference clock signal and the configuration data and generates an at-speed clock signal. During the capture phase, the at-speed clock signal includes clock pulses that are extracted from the reference clock signal based on the configuration data. A count of the extracted clock pulses is equal to the recorded number of clock pulses of the test clock signal. The at-speed testing of the IC is enabled based on the at-speed clock signal.

Abstract: The disclosure provides an approach for gateway optimization. Embodiments include receiving, at a first gateway associated with a first tenant within a data center, a packet directed to a first public network address of an endpoint associated with a second tenant within the data center. Embodiments include performing, by the first gateway, network address translation (NAT) to translate the first public network address to a private network address of the endpoint. Embodiments include forwarding, by the first gateway, the packet to an edge gateway of the data center. Embodiments include forwarding, by the edge gateway, the packet to a second gateway associated with the second tenant within the data center without sending the packet to a public interface of the edge gateway. Embodiments include forwarding, by the second gateway, the packet to the endpoint.

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 process includes operating a fuel injector to perform an injection of fuel, sensing a fluid hammer pressure of fuel in the injector generated in response to closing of an injector needle, determining at least one physical characteristic of the fuel in response to the fluid hammer pressure, and controlling operation of the fuel injection system in response to the at least one physical characteristic.

Abstract: A seed camera disposed a first location is manually calibrated. A second camera, disposed at a second location, detects a physical marker based on predefined characteristics of the physical marker. The physical marker is located within an overlapping field of view between the seed camera and the second camera. The second camera is calibrated based on a combination of the physical location of the physical marker, the first location of the seed camera, the second location of the second camera, a first image of the physical marker generated with the seed camera, and a second image of the physical marker generated with the second camera.

Abstract: Some embodiments provide a novel method for configuring edge routers in a first network. The method configures on a first compute node of the first network (1) a first higher-level edge router and (2) a set of lower-level edge routers. Each lower-level edge router is configured for a different set of subnetworks defined in the first network and is connected to an external second network through the first higher-level edge router. The method detects a condition that requires a particular lower-level edge router for a particular subnetwork to be moved to another compute node. The method configures the particular lower-level edge router to operate on a second compute node below a second higher-level edge router operating on the second compute node to connect the particular lower-level edge router to the external second network.

Abstract: Artificial intelligence-based processing can be used to classify audio information received from an audio input unit. In an example, audio information can be received from a microphone configured to monitor an environment. A processor circuit can identify identifying one or more features of the audio information received from the microphone and use a first applied machine learning algorithm to analyze the one or more features and determine whether the audio information includes an indication of an abnormal event in the environment. In an example, the processor circuit can use a different second applied machine learning algorithm, such as a neural network-based deep learning algorithm, to analyze the same one or more features and classify the audio information as including an indication of a particular event type in the environment.

Abstract: Techniques are disclosed herein for managing ambiguous date mentions in natural language utterances in transforming natural language utterances to logical forms by encoding the uncertainties of the ambiguous date mentions and including the encoded uncertainties in the logical forms. In a training phase, training examples including natural language utterances, logical forms, and database schema information are automatically augmented and used to train a machine learning model to convert natural language utterances to logical form. In an inference phase, input database schema information is augmented and used by the trained machine learning model to convert an input natural language utterance to logical form.

Abstract: Techniques are disclosed herein for managing date-time intervals in transforming natural language utterances to logical forms by providing an enhanced grammar, a natural language utterance comprising a date-time interval, and database schema information to a machine learning model that has been trained to convert natural language utterances to logical forms; and using the machine learning model to convert the natural language utterance to an output logical form, wherein the output logical form comprises at least one of the date-time interval and an extraction function for extracting date-time information corresponding to the date-time interval from at least one date-time attribute of the database schema information.

Abstract: Example methods and systems for connectivity service provisioning for a software-defined data center (SDDC) group are described. In one example, a computer system may detect an event that affects a first connectivity service connecting multiple members of the SDDC group. The computer system may obtain first routing information that is applicable in a first SDDC; and second routing information that is applicable in a second SDDC. In response to the event, the computer system may generate and send a first instruction towards the first SDDC and a second instruction towards the second SDDC to cause: (a) the first SDDC and second SDDC to establish a second connectivity service; (b) the first SDDC to update the first routing information to associate a first flow with the second connectivity service; and (c) the second SDDC to update the second routing information to associate a second flow with the second connectivity service.

Abstract: Techniques are disclosed relating to providing protection groups and rapid determination of expired objects and associated storage resources in a cloud-based backup storage context. In various embodiments, the disclosed techniques include generating, by a computing system, incremental backup data for a backup based on protection group information, including a set of cloud-based key-value data store buckets, filter information, and policy information. Disclosed techniques also include rapid determination of expired objects and associated storage resources. Disclosed techniques may advantageously provide a centralized view across buckets, accounts, and regions and allow users to target specific subsets of their data stores for backup, which may improve performance and reduce backup storage costs, relative to traditional techniques.

Abstract: In accordance with an embodiment, described herein are systems and methods for providing a data analytics workbook assistant and integration with data analytics environments. A data analytics system or environment can be integrated with a provider operating as an implementation of a provider framework which provides natural language processing, for purposes of leveraging a user's text or speech input, within a data analytics or data visualization project, for example while generating, modifying, or interacting with data visualizations. The method can, upon receiving the input, process, by the selected provider, a text input or a speech input of the input, to generate, modify, or interact with a data analytics information or visualization.

Abstract: Aspects of the subject disclosure may include, for example, monitoring first data to identify a first plurality of test points, analyzing the first plurality of test points to identify the first data as being associated with a first time domain included in a plurality of time domains, wherein respective portions of a device under test (DUT) are operative in accordance with a given time domain included in the plurality of time domains, and based on the analyzing of the first plurality of test points, generating first control signals to cause a first clock signal to be adapted to generate a second clock signal that is different from the first clock signal.

Abstract: Embodiments provide methods for separation of solvents from water using reverse osmosis membranes. The recovered water and/or recovered solvents may be recycled into a process or otherwise diverted for beneficial use.

Abstract: Pharmaceutical formulations for the transdermal administration of insulin by topical application of the formulation to the skin of humans or other animals are described. Methodology for formulating such formulations which provide for very rapid uptake of the insulin and transmigration into and through the skin to either fatty tissues or the vascular system, while minimizing irritation to the skin and/or immunological response, is based on a transdermal delivery system wherein the insulin forms a true solution in a complex formed from particular solvents and solvent and solute modifiers in combination with skin stabilizers. Uptake of the medicament is further facilitated and made more rapid by including Forskolin or other source of cellular energy, namely induction of cAMP or cGMP.

Abstract: Imaging systems and techniques are described. An imaging system can receive image data from an image sensor with different sets of photodetectors sensitive to different electromagnetic (EM) frequency domains. The imaging system determines, based on image data of a scene received from the image sensor, a first focus setting for focusing on the scene using the image sensor in the first domain. The imaging system determines, based on the first focus setting and a difference between respective characteristics of the first domain and a second domain, a second focus setting for focusing on the scene using the image sensor in the second domain. The imaging system causes the image sensor to capture a first image of the scene in the first domain according to the first focus setting, and to capture a second image of the scene in the second domain according to the second focus setting.

Abstract: An example method is disclosed, the method comprising: (i) detecting, via a first sensor of an alert system configured for use with a vehicle, a living being inside the vehicle; (ii) measuring, via a second sensor, an environmental feature inside the vehicle; (iii) based at least on the detection of the living being and the measured environmental feature, determining, an alert condition inside the vehicle; (iv) selecting a first computational action based at least on the determined alert condition; (v) transmitting an instruction that causes a component of the vehicle to perform the selected first computational action; (vi) selecting a second computational action based at least on the determined alert condition; and (vii) transmitting, via a network interface, to at least one computing device that is remote from the alert system, an instruction that causes at least one remote computing device to perform the selected second computational action.

Abstract: The present disclosure provides for composite tank assemblies and related methods of fabrication and use. More particularly, the present disclosure provides for linerless composite tank assemblies for aircraft or fuel or the like, and related modular manufacturing methods. The present disclosure uses a multi-section manufacturing method and carbon fiber or equivalent material with epoxy or the like to fabricate the linerless composite tank assemblies (e.g., thermosetting epoxy; thermoplastic).

Abstract: Techniques are disclosed relating to the execution of machine learning models on client devices, particularly in the context of transaction risk evaluation. This reduces computational burden on server systems. In various embodiments, a server system may receive, from a client device, a request to perform a first operation and select a first machine learning model, from a set of machine learning models, to send to the client device. In some embodiments the first machine learning model is executable, by the client device, to generate model output data for the first operation based on one or more encrypted input data values that are encrypted with a cryptographic key inaccessible to the client device. The server system may send the first machine learning model to the client device and then receive, from the client device, a response message that indicates whether the first operation is authorized based on the model output data.

Abstract: Methods and systems are provided for generating ultrasound probe motion recommendations. In one example, a method includes obtaining an ultrasound image of a source scan plane, the ultrasound image acquired with an ultrasound probe at a first location relative to a patient, entering the ultrasound image as input to a probe recommendation model trained to output a set of recommendations to move the ultrasound probe from the first location to a plurality of additional locations at which a plurality of target scan planes can be imaged, and displaying the set of recommendations on a display device.