The present application discloses an image projection method, apparatus, device and storage medium and relates to the field of intelligent transportation, and the specific implementation thereof is: acquiring a first camera coordinate of an area to be calibrated in a camera coordinate system of an AR camera on a vehicle, where the area to be calibrated is located within a photographing range of the AR camera; acquiring a relative conversion relationship between a first extrinsic parameter matrix of the AR camera and a second extrinsic parameter matrix of a head-up display on the vehicle; determining, according to the first camera coordinate and the relative conversion relationship, a second camera coordinate of a projection symbol corresponding to the area to be calibrated in a coordinate system of the head-up display; and controlling, according to the second camera coordinate, the head-up display to project an image including the projection symbol.

Storage devices are described herein that are capable of communicating with host-computing devices using multiple protocols. These Multi-Protocol Storage Devices (MPSDs) can be configured to utilize a persistent memory region (PMR) across a variety of protocols. Often, one of these protocols is the Non-Volatile Memory express (NVMe) protocol which provides for the ability to utilize and manage a PMR within the storage device. Other protocols may not have native support for PMR like the NVMe protocol does. Therefore, MPSDs are disclosed that may determine which protocol is in use in response to an initialization event and adjust the use of the PMR as needed based on the determined protocol. These adjustments may allow for the direct access of the PMR as an extension of general memory storage or may be configured to provide increased performance of the storage device overall. These storage devices may be hot-swappable between numerous host-computing systems.

Storage can be allocated to workspaces in a ZFS-based environment. Workspaces can be associated with a workspace weightage. When a workspace is deployed on a client computing device, its workspace weightage can be used to determine an initial quota for a dataset to be created in a zpool for the workspace. The initial quota can be used to determine the size of the dataset. The workspace weightage may also be used to determine an expansion quota and a contraction quota that can be used to calculate the size of an expansion or contraction respectively. The use of workspace weightages and their associated quotas can ensure that the zpool is fairly shared by the various datasets that may be created therein for workspaces deployed on the client computing device.

Generally discussed herein are devices, systems, and methods for software memory tagging that provides buffer overflow protection. A method can include responsive to a memory write operation to write data to a heap of a memory, identifying a first tag value associated with a first address of the memory write operation in the bit map, comparing, for each address after the first address affected by the memory write operation, respective tag values in a bit map of the memory to the identified first tag value, and halting execution of the application if any of the respective tag values do not match the first tag value.

A cellular modem processor can include dedicated processing engines that implement specific, complex data processing operations. The processing engines can be arranged in pipelines, with different processing engines executing different steps in a sequence of operations. Flow control or data synchronization between pipeline stages can be provided using a hybrid of firmware-based flow control and hardware-based data dependency management. Firmware instructions can define data flow by reference to a virtual address space associated with pipeline buffers. A hardware interlock controller within the pipeline can track and enforce the data dependencies for the pipeline.

An apparatus and method for providing an immutable audit trail for machine learning applications is described herein. The audit trail is preserved by recording the machine learning models and data in a data structure in immutable storage such as a WORM device, or in a blockchain. The immutable audit trail is important for providing bank auditors with the reasons for lending or account opening reasons, for example. A graphical user interface is described to allow the archive of machine learning models to be viewed.

An operation combiner receives a series of commands with read addresses, a modification operation, and write addresses. In some cases, the commands have serial dependencies that limit the rate at which they can be processed. The operation combiner compares the addresses for compatibility, transforms the operations to break serial dependencies, and combines multiple source commands into a smaller number of aggregate commands that can be executed much faster than the source commands. Some embodiments of the operation combiner receive a first command including one or more first read addresses and a first write address. The operation combiner compares the first read addresses and the first write address to one or more second read addresses and a second write address of a second command stored in a buffer. The operation combiner selectively combines the first and second commands to form an aggregate command based on the comparison.

Storage can be allocated to workspaces in a ZFS-based environment. Workspaces can be associated with a workspace weightage. When a workspace is deployed on a client computing device, its workspace weightage can be used to determine an initial quota for a dataset to be created in a zpool for the workspace. The initial quota can be used to determine the size of the dataset. The workspace weightage may also be used to determine an expansion quota and a contraction quota that can be used to calculate the size of an expansion or contraction respectively. The use of workspace weightages and their associated quotas can ensure that the zpool is fairly shared by the various datasets that may be created therein for workspaces deployed on the client computing device.

A database dual-core storage system based on optical disk comprises a server, a magnetic disk storage device and an optical disk storage device connecting to the server via data connection, a database management system, a data processor and a data connector installed on the server, wherein the database management system is arranged for completing database management and data management of the magnetic disk storage device and the optical disk storage device in response to data requests; the data processor is arranged for configuring fields of a database base core and fields of a database extension core, writing data of corresponding fields into the database base core and the database extension core respectively in response to data requests; the data connector is arranged for creating data connection between the database base core and the database extension core in response to data requests. The integrity and safety of data are guaranteed.

A data processing apparatus and a vehicle having the same are provided. A data processing apparatus of a vehicle includes: a first memory having a plurality of storage areas to which each address of a plurality of addresses is allocated; and a processor configured to confirm information of data received from a first device, confirm an address corresponding to the received data based on the confirmed information of data, and store the received data in a storage area of the plurality of storage areas corresponding to the confirmed address.