Abstract: A pressure-based piston top-dead-center (“TDC”) position measurement system is disclosed, comprising: a fuel injector configured to inject fuel into a combustion chamber bounded in part by the piston; and a controller configured to control the fuel injector to cause a fuel injection when the piston is at each of a plurality of different positions relative to TDC while ensuring fuel is provided to the fuel injector at a substantially constant pressure. The controller is further configured to estimate a pressure in the combustion chamber in response to each fuel injection, fit a curve to the estimated pressures, and determine a TDC position of the piston as correlating with a maximum pressure on the curve.

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

Abstract: In described examples, a circuit includes a multiplexer. The multiplexer receives an input voltage and a calibration signal. An analog-to-digital converter (ADC) is coupled to the multiplexer and generates an output code in response to the calibration signal. A storage circuit is coupled to the ADC and stores the input code representative of the calibration signal at an address corresponding to the output code. The stored input code includes an index value and a coarse value.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps client-server applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.

Abstract: In some implementations, a system may obtain a specification associated with an application programming interface (API). The system may generate a test object based on the specification associated with the API. The test object may include information associated with a set of test cases for the API. The system may identify a framework associated with a test suite to be generated for the API. The system may generate the test suite for the API based on the test object and the identified framework. The system may provide information associated with the test suite for the API.

Abstract: In an example, a system includes an input channel and a voltage to delay converter (V2D) coupled to the input channel. The system also includes a first multiplexer coupled to the V2D and an analog-to-digital converter (ADC) coupled to the first multiplexer. The system includes a second multiplexer coupled to the input channel and an auxiliary ADC coupled to the second multiplexer. The system includes calibration circuitry coupled to an output of the auxiliary ADC, where the calibration circuitry is configured to correct a non-linearity in a signal provided by the input channel. The calibration circuitry is also configured to determine the non-linearity of the signal provided to the ADC relative to the signal provided to the auxiliary ADC.

Abstract: In described examples, a circuit includes a multiplexer. The multiplexer receives an input voltage and a calibration signal. An analog-to-digital converter (ADC) is coupled to the multiplexer and generates an output code in response to the calibration signal. A storage circuit is coupled to the ADC and stores the input code representative of the calibration signal at an address corresponding to the output code. The stored input code includes an index value and a coarse value.

Abstract: The method provides for securely harvesting and distributing trusted metadata from devices to artificial intelligence (AI) systems. It enables use of cryptographic hashes and signatures on data for supply chain provenance. It is an agentless method to enhance application security by design, and data protection with data authenticity and confidentiality in device to upstream services communications and data sharing. It helps securely harvest, filter, and forward device metadata to webhooks for AI/ML driven data analytics.

Abstract: Generally, the present disclosure is directed to user interface understanding. More particularly, the present disclosure relates to training and utilization of machine-learned models for user interface prediction and/or generation. A machine-learned interface prediction model can be pre-trained using a variety of pre-training tasks for eventual downstream task training and utilization (e.g., interface prediction, interface generation, etc.).

Abstract: In an example, a system includes an input channel and a voltage to delay converter (V2D) coupled to the input channel. The system also includes a first multiplexer coupled to the V2D and an analog-to-digital converter (ADC) coupled to the first multiplexer. The system includes a second multiplexer coupled to the input channel and an auxiliary ADC coupled to the second multiplexer. The system includes calibration circuitry coupled to an output of the auxiliary ADC, where the calibration circuitry is configured to correct a non-linearity in a signal provided by the input channel. The calibration circuitry is also configured to determine the non-linearity of the signal provided to the ADC relative to the signal provided to the auxiliary ADC.

Abstract: At least some embodiments of present disclosure direct to a fuel injection timing drift detection and/or compensation system. In some cases, the system collects or receives a series of fuel pressure data measured by one or more fuel pressure sensors. The system is configured to receive an indication of fuel flow cutout and a start-of-injection command signal. The system calculates a set of pressure drops using the series of fuel pressure data and identifies a selected pressure drop greater than a predetermined threshold to determine a measured start-of-injection timing based on the selected pressure drop. The system is further configured to evaluate whether a fuel injection drifting occurs based on received start-of-injection command signal and the measured start-of-injection timing. In some cases, the fuel injection drifting is used to either compensate fuel injection timing or raise a flag indicating the drifting.

Abstract: The method provides for dynamic retrieval of certificates, with remote, secure, and scalable lifecycle management. It enables configuring, generating, issuing, and sending client certificates by a certificate broker service to client applications, sending client certificates by client applications to server applications, and verifying of client certificates by server applications for host address, network address, network mash, network scope, and IP address pool-based authorization. It is an agentless method to achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud secure communications. It helps Transport Layer Security and Internet Key Exchange enabled applications retrieve leaf certificates and the associated private key, and verify certificates, programmatically for certificate-based authentication during protocol handshake, with host and network address-based authorization policies.

Abstract: An Internet of Things (IoT) device with zero touch provisioning includes one or more processing devices; a secure element; and memory storing software that, when executed in the one or more processing devices, cause the one or more processing devices to: install one or more clients on the IoT device for provisioning, enrollment, and updating, based on a device configuration; store an immutable device identity and a signing certificate in the secure element; and responsive to the IoT device being powered-on, cause the one or more clients and the secure element to perform the zero touch provisioning of the IoT device. The one or more clients on the IoT device for provisioning, enrollment, and updating operate with corresponding services with all communicating being encrypted, thereby protecting against cloning and counterfeiting of IoT devices.

Abstract: The method provides for dynamic retrieval of certificates, with remote, secure, and scalable lifecycle management. It enables configuring, generating, issuing, and sending client certificates by a certificate broker service to client applications, sending client certificates by client applications to server applications, and verifying of client certificates by server applications for host address, network address, network mash, network scope, and IP address pool-based authorization. It is an agentless method to achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud secure communications. It helps Transport Layer Security and Internet Key Exchange enabled applications retrieve leaf certificates and the associated private key, and verify certificates, programmatically for certificate-based authentication during protocol handshake, with host and network address-based authorization policies.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps client-server applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps client-server applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps client-server applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps client-server applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security. It helps applications (producers, brokers, and consumers of content) with PSKs for supply chain tamper resistance. It helps real-time low-latency applications with selective encryption of partial messages.

Abstract: The method provides an automated and scalable system for the generation, distribution, management of symmetric pre-shared keys (PSKs) to applications executing on headless and mobile devices. It helps achieve device protection, application security, and data protection with data authenticity and confidentiality in intra-device, inter-device, device-to-edge, and device-to-cloud communications. It helps Transport Layer Security (TLS) enabled applications dynamically acquire and renew PSKs and use identity hints for PSK based authentication ceremony during a TLS handshake. It helps broker-consumer applications dynamically acquire and renew PSKs using keyed-hash message authentication code (HMAC) for data integrity and authenticity, content signing, and data encryption for confidentiality. It helps manage and distribute API shared secrets and API access tokens required for authenticated API requests and API security.