Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).

Abstract: Embodiments are disclosed for a method for dynamic text reading. The method includes performing pre-processing for a text document. Pre-processing includes determining the text document comprises an emotional statement based on an indicator of an emotion associated with the emotional statement. Pre-processing also includes identifying a speaker of the emotional statement. Further, pre-processing includes generating a role-to-voice map that associates the speaker with a digital representation of a voice for the speaker. The method additionally includes generating, based on the pre-processing, the voice for the speaker reading aloud a text of the text document using the digital representation of the voice with a tonal modulation that conveys the emotion.

Abstract: Embodiments are disclosed for a method for dynamic text reading. The method includes performing pre-processing for a text document. Pre-processing includes determining the text document comprises an emotional statement based on an indicator of an emotion associated with the emotional statement. Pre-processing also includes identifying a speaker of the emotional statement. Further, pre-processing includes generating a role-to-voice map that associates the speaker with a digital representation of a voice for the speaker. The method additionally includes generating, based on the pre-processing, the voice for the speaker reading aloud a text of the text document using the digital representation of the voice with a tonal modulation that conveys the emotion.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.

Abstract: Disclosed are a method and a computer system for splitting and merging files via a motion input on a graphical user interface. The method comprises determining existence of a motion input; splitting the file into split multiple partial files based on pre-configurations; and generating multiple partial file icons representing the split multiple partial files on the graphical user interface. The multiple partial files may be subsequently merged together.

Abstract: In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.

Abstract: Performing an operation comprising receiving accessibility data generated by an operating system based on a first message outputted via a graphical user interface (GUI) of a first messaging client of a plurality of messaging clients executing on a device, extracting attributes of the first message from the received accessibility data and based on a first parsing rule, wherein the attributes comprise a text of the message, a sender of the message, and the first messaging client, and outputting for display an indication of the text of the message, the sender, and the first messaging client in a GUI of an integrated messaging application.

Abstract: Performing an operation comprising receiving accessibility data generated by an operating system based on a first message outputted via a graphical user interface (GUI) of a first messaging client of a plurality of messaging clients executing on a device, extracting attributes of the first message from the received accessibility data and based on a first parsing rule, wherein the attributes comprise a text of the message, a sender of the message, and the first messaging client, and outputting for display an indication of the text of the message, the sender, and the first messaging client in a GUI of an integrated messaging application.

Abstract: A computer-implemented method includes identifying a text segment including one or more text artefacts and determining a language-specific occurrence database associated with the text segment. The computer-implemented method further includes, for each of said one or more text artefacts, determining a language-specific occurrence value based on the language-specific occurrence database and determining a language-specific compliance value based on each language-specific occurrence value. A corresponding computer program product and computer system are also disclosed.

Abstract: Disclosed are a method and a computer system for splitting and merging files via a motion input on a graphical user interface. The method comprises determining existence of a motion input; splitting the file into split multiple partial files based on pre-configurations; and generating multiple partial file icons representing the split multiple partial files on the graphical user interface. The multiple partial files may be subsequently merged together.

Abstract: Disclosed are a method and a computer system for splitting and merging files via a motion input on a graphical user interface. The method comprises determining existence of a motion input; splitting the file into split multiple partial files based on pre-configurations; and generating multiple partial file icons representing the split multiple partial files on the graphical user interface. The multiple partial files may be subsequently merged together.

Abstract: A computer system for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artifacts within the text segments; creating an occurrence table for the set of text artifacts; and determining compliance of the text artifacts and text segments based on the single language grouping on which the set of text segments are based.

Abstract: A computer-implemented method and system launches an application with a preferred user interface (UI) language on a device. The method and system receive a voice command from a user to open an application on a device having a computer. The voice command is compared to a stored command language in an audio file device. The system and method initiates opening the application, in response to determining that the voice command matches the stored command language. The application is identified based on the voice command. The system and method determines a preferred language for the software application based on a language file stored on the computer readable medium and the language file being associated with the stored audio file. The method and system opens the application in response to the voice command, and sets the preferred language for a user interface (UI) of the device in response to the determined preferred language.

Abstract: A computer program product for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artefacts within the text segments; creating an occurrence table for the set of text artefacts; and determining compliance of the text artefacts and text segments based on the single language grouping on which the set of text segments are based.

Abstract: A computer system for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artefacts within the text segments; creating an occurrence table for the set of text artefacts; and determining compliance of the text artefacts and text segments based on the single language grouping on which the set of text segments are based.

Abstract: A computer program product for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artefacts within the text segments; creating an occurrence table for the set of text artefacts; and determining compliance of the text artefacts and text segments based on the single language grouping on which the set of text segments are based.

Abstract: A computer-implemented method for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artefacts within the text segments; creating an occurrence table for the set of text artefacts; and determining compliance of the text artefacts and text segments based on the single language grouping on which the set of text segments are based.

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.