Systems and methods are provided for developing and implementing knowledge graphs. One system may include a processing system including one or more electronic processors. The processing system may be configured to receive electronic content that includes a plurality of content portions arranged in a sequential order. The processing system may be configured to identify a plurality of nodes for the electronic content. The processing system may be configured to determine, from the plurality of nodes, a plurality of node pairings based on the sequential order of the electronic content. The processing system may be configured to determine a metric for each of the plurality of node pairings that indicates a respective degree of dependency associated with the corresponding node pairing. The processing system may be configured to generate a graphical representation that indicates relationships between the plurality of content portions of the electronic content.

An information storage stores operation information regarding operations of an operating part group including a load port group, a processing unit group, and a transport mechanism. The operation information includes processing result information indicating a result of substrate processing performed by a substrate processing apparatus, and operational status information indicating temporal breakdowns of operational statuses of the substrate processing apparatus and operating parts included in the operating part group. The display controller displays the processing result information while arranging it according to an arrangement item selected from a predetermined arrangement item including an arbitrary operating period of the substrate processing apparatus. The display controller classifies the operational status information into broadly classified operational statuses and into specifically classified operational statuses and displays the classified operational status information. This enables an operator to easily recognize detailed operational statuses of the operating parts in association with the result of substrate processing.

A building energy management includes building equipment, one or more data platform services, a timeseries database, and an energy management application. The building equipment operate to monitor and control a variable and provide raw data samples of a data point associated with the variable. The timeseries database stores a plurality of timeseries associated with the data point. The plurality of timeseries include a timeseries of the raw data samples and the one or more optimized data timeseries generated by the data platform services based on the raw data timeseries. The energy management application generates an ad hoc dashboard including a widget and associates the widget with the data point. The widget displays a graphical visualization of the plurality of timeseries associated with the data point and includes interactive user interface options for switching between the plurality of timeseries associated with the data point.

Operations for arranging discrete graphical elements representing alphanumeric data in a non-alphanumeric manner include causing an arrangement of a plurality of tiles on a display, the tiles being associated with items associated with a common objective and including a first and second characteristics having first and alphanumeric values. Each tile adopts first and second visual characteristics, has a unique position within the initial arrangement, and the tiles visualize progress toward the common objective. Changes in the first or second alphanumeric values cause: re-sorting the tiles to an updated arrangement differing from the initial arrangement; a first visual change in the first visual characteristic or the second visual characteristic of the first tile; and a second visual change in the first visual characteristic or the second visual characteristic of a second tile.

Implementations described herein relate to methods, systems, and computer-readable media to render virtual objects on a client device. In some implementations, the method includes obtaining a plurality of virtual objects associated with a virtual experience, for each virtual object of the plurality of virtual objects: determining physical connections of the virtual object to one or more other virtual objects in the virtual experience, and determining logical associations of the virtual object to one or more other virtual objects in the virtual experience, forming streaming sets of virtual objects, wherein for streaming sets that include two or more virtual objects, each virtual object within the streaming set has one or more of a physical connection and a logical association with at least one other virtual object in the streaming set, and rendering virtual objects included in one or more streaming sets in the virtual experience on the client device.

A non-transitory storage medium stores a graph drawing program for causing a computer to execute acquiring a plot point of a first graph by a handwriting input, regressively calculating a plurality of graph data by a plurality of regression models, based the acquired plot point, performing first determination to determine, in regard to each of the graph data, whether at least a partial data element is included in a predetermined range of coordinates, performing second determination to determine graph data having a good regression accuracy among the plurality of graph data, selecting one of the graph data, based on a result of the first determination and a result of the second determination and drawing a second graph in place of the first graph, based on the selected graph data.

A computer-implemented dynamic content generation method is executed by a processing module electrically connected to an input module and a communications module. The computer-implemented dynamic content generation method includes the following steps: generating a topic, at least one variable, and a selected writing type according to a setting command received from the input module; communicating with a natural language processing (NLP) model for receiving relevance data of the at least one variable to the topic; communicating with the NLP model for receiving a content text produced by the NLP model according to the topic, the at least one variable, the selected writing type, and the relevance data; when the content text satisfies the selected writing type, stopping receiving the content text, or else generating a correction information, applying the correction information to the relevance data, and iteratively re-generating the content text until the content text satisfies the selected writing type.

An apparatus according to an embodiment is a speech synthesis image generating apparatus based on machine learning. The apparatus includes a first global geometric transformation predictor to receive a source image and a target image including the same person, and predict a global geometric transformation for a global motion of the person between the source image and the target image based on the source image and the target image, a local geometric transformation predictor to predict a local geometric transformation for a local motion of the person between the source image and the target image based on preset input data, a geometric transformation combiner to calculate a full motion geometric transformation for a full motion of the person by combining the global geometric transformation and the local geometric transformation, and an image generator to reconstruct the target image based on the source image and the full motion geometric transformation.

In an illustrative embodiment, systems and methods for visually rendering a representation of periodicity in full resolution physiological data captured by ECG sensors over an extended time period include, for each time period of multiple time periods, representing a respective portion of the full resolution physiological data as a respective series of pixels, and arranging each respective series of pixels in relation to one another to generate a visual image of a time progression of the full resolution physiological data. Arranging each respective series of pixels in relation to one another may include visually depicting a periodicity within the full resolution physiological data as a pixel pattern within the time progression of the full resolution physiological data.

A method can include receiving input text associated with field operations at a field site that includes at least one well in fluid communication with a reservoir; assessing the input text with respect to one or more criteria to generate one or more chunks of text from the input text; directing the one or more chunks of text and a prompt to a large language model to generate corresponding output; and transforming the corresponding output into a graph structure, where the graph structure includes nodes and edges, and where each of the edges describes a relationship between a pair of the nodes.