A method utilized in a computer storage node includes: providing user interface device to be operated by an operator; sensing operation parameter of computer storage node to generate a first detection signal; controlling a display panel of user interface device to display data pattern of first detection signal on display panel according to a time scale; using first portion of first detection signal corresponding to a partial pattern of the data pattern to generate reference signal when the operator uses user interface device to mark a region on display panel to select the partial pattern; and comparing characteristics of the reference signal with characteristics of a processed detection signal to perform a behavior prediction operation.

A matched array technology system and method for displaying in a two-dimensional array the structured interactions between management and a plurality of employees in an organization. Axes contain proxy values of employee and manager expectations scaled to yield a matched array and an alignment vector containing cells representing target alignment between employee and manager expectations. A scatter plot of multiple employee positions portrays the pattern of talent alignment and distribution, representing the talent architecture for the organization. The talent architecture is characterized by multiple static and dynamic metrics that identify normative opportunities to improve organization alignment, and measure organization talent management performance, especially in relation to the reference and general alignment vectors of the array.

A support device includes an interface configured to establish connection to a controller, the controller being configured to execute a user program including a function block, a storage unit configured to store a monitoring condition in which a data type of the function block and a name of a monitoring target variable are defined with the data type and the name associated with each other, and a search module configured to search for, among instances of function blocks created for the controller to execute the user program, an instance having a data type matching a data type defined in the monitoring condition and having a value of a monitoring target variable associated with the matching data type indicating a monitoring target event.

Systems, methods, and computer media are described for creating efficient error reproduction scenarios. Raw workload capture data can be consolidated based on transactional dependence of the requests in the capture data. The consolidated workload capture data can be stored as a separate data structure that can be accessed to identify requests on which a request of interest in the raw workload capture data is transactionally dependent. For a request of interest (e.g., a request that caused an error), a lightweight error reproduction scenario can be generated that includes the identified transactionally dependent requests and excludes unrelated requests.

Indexes having local features are automatically selected from sensor data of a plurality of sensors. Sensor data of the plurality of sensors, each associated with the plurality of indexes, is partitioned into a plurality of blocks. A principal component analysis is applied to the sensor data of each of the partitioned blocks and a plurality of principal components are extracted from each of the blocks. A migration distance evaluation unit extracts, from two different blocks, two principal components that form a principal component pair, and calculates a migration distance between each of the principal components regarding the extracted principal component pair. A migration factor index detection unit detects, as a migration factor index, an index among the plurality of indexes configuring the principal components having a large migration distance among the migration distances between each of the principal components calculated by the migration distance evaluation unit.

A system maintains a knowledge layout to support the analysis of active events and determination of epicenter and aftershock nodes via an event reach stack. At an input layer of the event reach stack, the system may receive active event data. At a semantic layer, the system may parse the active event data to determine event phrases. Based on the event phrases, the system may identify epicenter nodes directly affected by the active event. At an analytic model layer, the system may successively determine aftershock nodes by traversing the knowledge layout outward from the epicenter nodes. The system then directs the response to the active event to the aftershock and epicenter nodes, via action at a focus response layer of the event reach stack.

A system can receive first input data indicative of first user input identifying a first diagnostic state of a computing system. The system can, based on the first input data, determine a second diagnostic state of the computing system, the second diagnostic state comprising information of the first diagnostic state. The system can present a first indication of the second diagnostic state via a user interface. The system can receive second input data indicative of second user input confirming the second diagnostic state. The system can determine a recommended action based on the second diagnostic state. The system can present a second indication of the recommended action via the user interface.

This disclosure describes techniques that include presenting a visual information that conveys information about health data associated with a large number of network devices or a large number of attributes of one or more network devices. In one example, this disclosure describes a method that includes collecting performance indicator data and determining a plurality of health status values based on a health status rule; grouping the health status values, based on how many health status values are in the plurality of health status values, into a plurality of health status groups, wherein each of the health status groups includes a subset of the health status values, and wherein each of the health status values within each subset are related to each of the other health status values in the subset; and determining, for each of the health status groups, a group health status value.

A perfusion system includes a fluid reservoir configured to hold a portion of fluid, the portion of fluid having a volume, the fluid reservoir having a total capacity that is greater than the volume; an imaging device, the imaging device configured to obtain image data corresponding to the fluid reservoir; and a controller. The controller is configured to receive the image data from the imaging device; determine the volume based on the image data; and facilitate control, in response to at least one of a user input and the determined volume of the portion of fluid, of an operating parameter corresponding to the fluid reservoir to facilitate changing or maintaining the volume of the portion of the fluid.

A method and a corresponding system that enables developers to determine a combination of two or more security profiles in which to deploy and configure a container (or set of containers). In some instances, the determination of which two or more security profiles in which to deploy the container (or set of containers) is made based upon the use of a two-dimensional (2D) diagram or a three-dimensional (3D) diagram that provides a visual display of at least one overlap between the two or more security profiles represented therein.