A system and method for monitoring performance of an industrial process includes an input port for receiving signals representative of one or more performance parameters generated by the industrial process, a user interface including a display and a controller that is operably coupled with the input port and the user interface. The controller is configured to repeatedly receive signals over time via the input port representative of the one or more performance parameters of the industrial process and to generate a plurality of snapshots, wherein each snapshot includes a graphical representation of the one or more performance parameters of the industrial process at a corresponding time. The controller is configured to generate an animatable heat map including two or more of the plurality of snapshots arranged temporally and to display the animatable heat map on the display.

A method may include receiving, via a first computing node, a first pod from a second computing node. The method may also include retrieving a first image file that may include a first set of containers from a registry based on the first pod. The first set of containers may cause a control system to halt operations. The method may then involve generating a first package based on the first set of containers and storing the first package in a filesystem, receiving a second pod from the second computing node, and retrieving a second image file having a second set of containers from the registry. The second pod may include the second set of containers may cause the control system to update software components. The method may also involve generating a second package based on the second set of containers and storing the second package in the filesystem.

A computer-implemented method comprises generating computer executable code as one or more code portions; detecting a number of processing operations required to reach one or more predetermined stages in execution of each code portion; and associating with each code portion one or more progress indicators, each representing a respective execution stage of the one or more predetermined stages within execution of that code portion. The code portions are executed by a processor powered by an unpredictable power source. When the processor detects an energy condition indicating that no more than a reserve quantity of electrical energy is available, the progress indicators are used to determine whether or not to perform a checkpoint.

An industrial integrated development environment (IDE) provides a development framework for designing, programming, and configuring multiple aspects of an industrial automation system using a common design environment and data model. Projects creating using embodiments of the IDE system can be built on an object-based model rather than, or in addition to, a tag-based architecture. To this end, the IDE system can support the use of automation objects that serve as building blocks for this object-based development structure. These automation objects represent corresponding physical industrial assets and have associated programmatic attributes relating to those assets, including data logging and device configuration parameters. Functional relationships between automation objects can be defined to yield object hierarchies, and object attributes can be propagated across objects up and down the hierarchy.

A vehicle-user interaction system for a vehicle includes: an editor configured to receive one or more inputs from a user of the vehicle and edit the one or more inputs into a rule script, the rule script including a user-defined rule based on the one or more inputs, the user-defined rule defining a trigger condition and a vehicle operation performed when the trigger condition is satisfied; a parser configured to create a list of monitoring elements and a list of functional elements based on the rule script, the list of monitoring elements including sensor elements that directly or indirectly describe the trigger condition, and the list of functional elements including functional elements that are associated with the vehicle operation; and an actuator configured to monitor sensor detection information associated with the sensor elements, determine whether the trigger condition is satisfied, and execute the functional elements to implement the user-defined rule in the vehicle.

An information handling system includes a memory subsystem and a basic/input out system (BIOS). The BIOS performs multiple trainings of the memory subsystem, and each of the trainings is performed at a different temperature. The BIOS stores multiple derating values in a derating table of the BIOS, and each of the derating values corresponds to a respective tap value at a respective temperature. During a subsequent power on self test of the information handling system, the BIOS performs a first training of the memory subsystem, and stores a first set of tap values. During a runtime of the information handling system, a memory controller determines whether a temperature of the information handling system has changed by a predetermined amount. In response to the temperature changing by the predetermined amount, the memory controller utilizes the derating values in the derating table to automatically update the tap values.

Configurations for data center component monitoring are disclosed. In at least one embodiment, movement of a server component is determined based on sensor data and the movement is used to diagnose a root cause for a server component failure.

Methods, systems, and devices for techniques for managing temporarily retired blocks of a memory system are described. In some examples, aspects of a memory system or memory device may be configured to determine an error for a block of memory cells. For example, a controller may determine an existence of the error and may temporarily retire the block. A media management operation may be performed on the temporarily retired block and, depending on one or more characteristics of the error, the temporarily retired block may be enabled or retired.

Allocating processing activities among multiple computing devices can include identifying multiple computing activities of a computer-executable process and, for each computing activity identified, estimating in real time the computing resources needed. The identifying can be in response to detecting a computer-executable instruction executed by one multiple communicatively coupled computing devices, and the computer-executable instruction can be associate with the computer-executable process. A current condition and configuration of each of the computing devices can be determined in real time. For each computing device an effect induced by executing one or more of the plurality of activities can be predicted, the predicting based each computing device's current condition and configuration and performed by a machine learning model trained using data collected from prior real-time processing of example process activities. Based on the predicting, computing activities can be allocated in real time among the computing devices.

Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) for software defined silicon security are disclosed. Example apparatus include a trusted agent determiner to (i) determine respective reputation scores associated with a plurality of agents in a mesh network, the plurality of agents associated with a plurality of semiconductor devices, respective ones of the semiconductor devices including circuitry configurable to provide one or more features, and (ii) select, based on the respective reputation scores, a first agent from the plurality of the agents to transmit a request to activate or deactivate at least one of the one or more features. Example apparatus also include an agent interface to, in response to the request, broadcast an activation or deactivation of the least one of the one or more features to the mesh network to cause the trusted agent determiner to update the reputation score of the first agent.