To prevent reading errors of codes attached to workpieces being transported in logistics. A code reader system comprises: one or more sensors that detect a workpiece and measure dimensions of the workpiece; one or more cameras that capture at least one image of the workpiece; a decoding unit that performs decoding processing on at least one image; an output unit that outputs information indicating the reading stability for each surface of the workpiece using one or more cameras, based on installation information of the one or more sensors, installation information of the one or more cameras, conveying speed, and the workpiece dimensions; and a screen generation unit that generates a screen to display on a display device the results of the decoding processing of the code attached to the workpiece and information indicating the reading stability for each surface of the workpiece.

An electronic instrument system is described herein. The electronic instrument system includes a display device including a graphical user interface (GUI) display screen displaying computer-generated images thereon and a controller operably coupled to the display device. The controller includes one or more processors programmed to execute an algorithm to display an animated sequence of computer-generated images on the GUI display screen including the steps of receiving a current parameter value and rendering a parameter display screen on the GUI display screen including a hybrid dynamic non-linear display displaying the current parameter value. The one or more processors render the hybrid dynamic non-linear display including a parameter display tape including a linear scale region displayed between a first non-linear scale region and a second non-linear scale region along a scale axis.

Described herein are systems, methods, and computer-readable medium for detecting a perfusion abnormality of a subject. In one embodiment, a method includes the following: obtaining, by dynamic radiography, imaging data for a dynamic series of a plurality of x-ray images that include areas of a subject corresponding to pulmonary vasculature; identifying, based on the imaging data, a dynamic signal corresponding to changing blood volume during the cardiac cycle of the subject; decomposing the dynamic signal into periodic components in frequency space; identifying, from the periodic components in frequency space, signals oscillating at the heart rate of the subject; generating, based on the identified signals oscillating at the heart rate of the subject, a perfusion map representation corresponding to pulmonary tissue perfusion in the subject; and detecting, based at least in part on the generated perfusion map representation, a perfusion abnormality of the subject.

A system for generating an entity duration value within a graphical interface, wherein the system includes at least a computing device, a display device, a memory; a processor configured to: generate a display data structure, providing a plurality of visual elements associated with a plurality of node modules and at least an event handler, wherein: a first visual element linked to a first data module of a node module of the plurality of node modules; a second visual element linked to a second data module of at least an entity duration value; the first data module is configured to: receive first data corresponding to the node utilization interval; and execute the second data module; and the second data module is configured to: modify the node utilization interval; and generate the display data structure using the plurality of visual elements and the at least an event handler.

Navigation video generation and acquisition methods and apparatuses, a server, a device, and a medium are provided, which relate to the field of navigation technologies. The method includes: receiving, from a terminal, a navigation video obtaining request, the navigation video obtaining request including a route origin and a route destination within an indoor scene; determining, based on the route origin and the route destination, one or more second sub-videos from one or more first sub-videos corresponding to a point of interest (POI) route relationship graph, the POI route relationship graph including a navigation route between at least two POIs in the indoor scene; determining an identifier to a navigation video from the route origin to the route destination based on the one or more second sub-videos; and returning the identifier to the navigation video to the requesting terminal for displaying the navigation video at the terminal.

A computing device displays a user interface that includes a first snapshot that is authored by a user of the computing device and displayed on a messaging application of a collaboration platform. The device displays information regarding metadata of one or more originating dashboards corresponding to the one or more snapshot components of the first snapshot. In response to detecting a first user selection of a notification, displayed in the user interface, indicating that the first snapshot has expired, the device transmits one or more identifiers of the one or more originating dashboards to a computer system and receives, from the computing system, updated data for the one or more snapshot components of the first snapshot. The device generates an updated view of the first snapshot according to the received updated data and displays the updated view of the first snapshot in the user interface.

A computer-implemented method manages a non-linear conversation with a chatbot, allowing users to modify their prompts and receive new responses, creating separate conversation paths. The method displays a conversation between a user and the chatbot on a conversational user interface, comprising user prompts and corresponding chatbot responses forming a first conversation path. A user can request a modification to a user prompt, which is then updated on the conversational user interface. The chatbot responds to the modified user prompt in a second conversation path, separate from the first path. This enables users to explore different conversation paths and receive tailored responses from the chatbot. The method facilitates an interactive and adaptive conversation experience, providing a more effective and engaging dialogue.

The present disclosure relates to a computer-implemented method and system for improvements to emotional and behavioral interfaces. In an example, a first group of color-coded regions is displayed representing emotions and behaviors for data collected from one or more participants using an input method. Correspondences are determined within the first group of color-coded regions. Individuals ones of the first group of color-coded regions are provided with a first portion of pixels in a first color associated with a value in the date based in part on the correspondences. A second portion of pixels is provided with a second color associated with a neutral indication. Changes to the data over discrete or random intervals of time are determined as modifying the correspondences. A dynamical change is applied to the first portion of pixels and the second portion of pixels to update the display of the first group of color-coded regions.

Tracking of health and resilience of physical equipment and related systems are disclosed. A system includes physical equipment and one or more processors. The physical equipment includes one or more assets. The one or more processors are configured to determine a resilience metric for the physical equipment. The resilience metric includes a real power component and a reactive power component based, at least in part, on an aggregation of real components and reactive components of adaptive capacities of the one or more assets. A cyber-physical system includes physical equipment, network equipment configured to enable the physical equipment to communicate over one or more networks, a physical anomaly detection system (ADS) configured to detect anomalies in operation of the physical equipment and provide a physical component of a cyber-physical metric, and a cyber ADS configured to detect anomalies in network communications over the one or more networks.

A method for identifying relationships between nodes in a graph is provided. The method comprises determining a count of relationships for each relationship type associated with each node in a pair of nodes on the graph. The relationship types are represented by edges connected to the nodes in the pair of nodes. A number of common relationships are determined between the pair of nodes for each relationship type. A count for each common relationship is determined for the number of common relationships between the pair of nodes. A similarity coefficient for each common relationship is determined based on the count for each common relationship and the count of relationships for each relationship type associated with each node in the pair of nodes. A weighted score is generated to represent strength for relationships between the pair of nodes using the similarity coefficients.