A one-time programmable (OTP) memory is included in both a memory device and a processing device. The OTP memories store encryption keys and the encryption and decryption of messages between the two devices are used as a heartbeat to determine that the memory device has not been separated from the processing device and, in some instances, connected to a malicious processing device.

The embodiments relate to a steering control device and method. Specifically, a steering control device according to an embodiment may include a first steering control module configured to delete a stored first code flash and store an update file according to an over-the-air (OTA) update when receiving an OTA update request, and a second steering control module to which a control right is transitioned from the first steering control module if the first steering control module receives the OTA update request.

A method includes capturing a first sample data signal, the first sample data signal being associated with a first time domain and storing a first value associated with the first sample data signal in a first element position of a first memory buffer. The method also includes generating, in response to a completion of a sampling window and in response to a request from a data consumer, a snapshot of values stored in the first memory buffer and storing the snapshot of values in a data consumer memory. The method also includes extracting, by the data consumer in a second time domain, at least one value from the snapshot of values and calculating, by the data consumer, at least one of a motor position of a motor and a motor velocity of the motor using the at least one value from the snapshot of values.

A multi-processor computing system (e.g., a system-on-chip) can store, in a shared memory, (i) a reservation table that is accessible by the one or more workload processors, and (ii) a scheduling program. The system can further execute the scheduling program to schedule execution of a set of workloads by one or more workload processors in accordance with an optimized compute graph, an optimized data positioning graph, and a coherence protocol that is precomputed based on the optimized compute graph and the optimized data positioning graph.

A storage device includes a memory device including a first memory region configured to store autonomous driving analysis data and a controller configured to control a memory operation of the memory device, wherein the controller includes a management circuit configured to monitor a plurality of pieces of target information related to autonomous driving, predict a shortage of the first memory region, and perform an operation to increase a free space of the first memory region based on a result of the prediction.

A method of caching large data objects of greater than 1 GB, comprising: populating a sharded cache with large data objects backfilled from a data store; servicing large data object requests from a plurality of worker nodes via the sharded cache, comprising deterministically addressing objects within the sharded cache; and if a number of requests for an object within a time exceeds a threshold: after receiving a request from a worker node for the object, sending the worker node a redirect message directed to a hot cache, wherein the hot cache is to backfill from a hot cache backfill, and wherein the hot cache backfill is to backfill from the sharded cache.

An execution unit calculates a first remaining rate that is a rate of a remaining number of times data is allowed to be written to a storage area during execution of the first operating system relative to a first upper limit count. The execution unit calculates a total remaining rate that is a rate of a remaining number of times data is allowed to be written to the storage area during execution of the first operating system and the second operating system relative to a total upper limit count. The execution unit changes a value of the first remaining rate to a value of the total remaining rate when the first remaining rate is greater than the total remaining rate.

In some implementations, the techniques described herein relate to a method including: receiving a data log entry associated with a driver that includes a service provider location and a timestamp; identifying a vehicle associated with the driver based on the data log entry by identifying the vehicle includes applying a machine learning model to the data log entry and a vehicle database; loading a vehicle location log associated with the identified vehicle, the vehicle location log including a plurality of location data points and associated timestamps; computing an alternate data log entry based on the data log entry and the vehicle location log, wherein computing the alternate data log entry includes applying a rule-based optimization algorithm to a historical service provider database; and transmitting a recommendation based on the alternate data log entry, wherein the recommendation includes a geospatial visualization of the alternate data log entry.

A signal processing device and a display apparatus including the same are disclosed. The signal processing device includes a processor to perform signal processing, wherein the processor is configured to execute a server virtual machine and a plurality of guest virtual machines on a hypervisor, first and second guest virtual machine operate for first and second display, respectively, the server virtual machine is configured to encode and store processed video data in a shared memory, the first guest virtual machine is configured to receive and decode the encoded video data and store decoded video data in the shared memory, and the second guest virtual machine is configured to receive the decoded video data and display at least a portion of the decoded video data on the second display. Accordingly, it is possible to reduce a delay in displaying images between a plurality of displays.

Apparatuses, systems and methods for preserving memory settings and deriving parasitic draw of an electrical system of a vehicle include a power source configured to energize the electrical system and sensor(s) electrically coupled to the power source, where the sensor(s) are configured to detect current flow from the power source to the electrical system. An analyzer electrically coupled to the power source and sensor(s) is configured to derive a parasitic draw of the electrical system based on the detected current flow. The apparatus is electrically coupled to the power source via an interface configured to electrically connect to the electrical system. Based on the apparatus being electrically coupled, via the interface, to the electrical system while cable(s) of the electrical system are disconnected from a vehicle battery, the power source preserves memory settings of the electrical system and the analyzer derives the parasitic draw of the electrical system.