Abstract: A computer hardware system having an image modification platform includes a hardware processor configured to initiate the following executable operations. A digital image is received by the image modification platform. A plurality of objects within the digital image are detected using an object segmentation engine of the image modification platform. The plurality of objects are classified using an object classification engine of the image modification platform and involve associating a stakeholder, respectively, to at least two of the plurality of objects. A knowledge map for the digital image is generated based upon the classifying and the stakeholders using a knowledge map engine. A set of constraints are identified for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders. A modified digital image to be published is generated by an interactive image generation engine using the sets of constraints.

Abstract: A method of capturing a target species from a gas comprises the steps of: contacting a gas containing a target species with a first absorbent solution comprising a capture species; dissolving the target species in the first absorbent solution to form a target anion; electrochemically separating the target anion from the first absorbent solution by contacting the first absorbent solution with one or more ion-exchange membranes, and transferring the target anion through an ion-exchange membrane into a second absorbent solution; and releasing at least some of the target species from the second absorbent solution. The one or more ion-exchange membranes are not permeable to the capture species, so the capture species does not pass through the one or more ion-exchange membranes. An apparatus for capturing a target species from a gas is also provided.

Abstract: A method of capturing a target species from a gas comprises the steps of: contacting a gas containing a target species with a first absorbent solution comprising a capture species; dissolving the target species in the first absorbent solution to form a target anion; electrochemically separating the target anion from the first absorbent solution by contacting the first absorbent solution with one or more ion-exchange membranes, and transferring the target anion through an ion-exchange membrane into a second absorbent solution; and releasing at least some of the target species from the second absorbent solution. The one or more ion-exchange membranes are not permeable to the capture species, so the capture species does not pass through the one or more ion-exchange membranes. An apparatus for capturing a target species from a gas is also provided.

Abstract: A method of capturing a target species from a gas comprises the steps of: contacting a gas containing a target species with a first absorbent solution comprising a capture species; dissolving the target species in the first absorbent solution to form a target anion; electrochemically separating the target anion from the first absorbent solution by contacting the first absorbent solution with one or more ion-exchange membranes, and transferring the target anion through an ion-exchange membrane into a second absorbent solution; and releasing at least some of the target species from the second absorbent solution. The one or more ion-exchange membranes are not permeable to the capture species, so the capture species does not pass through the one or more ion-exchange membranes. An apparatus for capturing a target species from a gas is also provided.

Abstract: To increase the efficiency of electronic design automation, a register transfer level debug application client entity requests, from a register transfer level source navigator server, combined register transfer level and hardware aspect metadata including debug instrumentation. The register transfer level debug application client entity receives, from the register transfer level source navigator server, the combined register transfer level and hardware aspect metadata including the debug instrumentation. The register transfer level debug application client entity transforms the combined register transfer level and hardware aspect metadata including the debug instrumentation. The register transfer level debug application client entity renders the transformed combined register transfer level and hardware aspect metadata including the debug instrumentation.

Abstract: A method, computer program product, and/or system is disclosed for testing integrated circuits, e.g., processors, that includes: generating a software design prototype of the functional behavior of an integrated circuit to be tested; creating a lab All-Events-Trace (AET) normalized model of the integrated circuit, wherein the normalized model captures the functions of the integrated circuit and not the non-functional aspects of the integrated circuit; generating a lab scenario using the software design prototype and the AET normalized model of the integrated circuit for a particular cycle of interest, wherein the lab scenario contains initialization for all signals that have hardware information; and generating a replayed lab normalized AET for the particular cycle of interest.

Abstract: To increase the efficiency of electronic design automation, a register transfer level debug application client entity requests, from a register transfer level source navigator server, combined register transfer level and hardware aspect metadata including debug instrumentation. The register transfer level debug application client entity receives, from the register transfer level source navigator server, the combined register transfer level and hardware aspect metadata including the debug instrumentation. The register transfer level debug application client entity transforms the combined register transfer level and hardware aspect metadata including the debug instrumentation. The register transfer level debug application client entity renders the transformed combined register transfer level and hardware aspect metadata including the debug instrumentation.

Abstract: A computer hardware system having an image modification platform includes a hardware processor configured to initiate the following executable operations. A digital image is received by the image modification platform. A plurality of objects within the digital image are detected using an object segmentation engine of the image modification platform. The plurality of objects are classified using an object classification engine of the image modification platform and involve associating a stakeholder, respectively, to at least two of the plurality of objects. A knowledge map for the digital image is generated based upon the classifying and the stakeholders using a knowledge map engine. A set of constraints are identified for each of the plurality of objects based upon the knowledge map and the plurality of stakeholders. A modified digital image to be published is generated by an interactive image generation engine using the sets of constraints.

Abstract: A method, computer program product, and/or system is disclosed for testing integrated circuits, e.g., processors, that includes: generating a software design prototype of the functional behavior of an integrated circuit to be tested; creating a lab All-Events-Trace (AET) normalized model of the integrated circuit, wherein the normalized model captures the functions of the integrated circuit and not the non-functional aspects of the integrated circuit; generating a lab scenario using the software design prototype and the AET normalized model of the integrated circuit for a particular cycle of interest, wherein the lab scenario contains initialization for all signals that have hardware information; and generating a replayed lab normalized AET for the particular cycle of interest.

Abstract: An embodiment for adapting a writing-style based on conversation context is provided. The embodiment may include receiving a plurality of static factors and one or more dynamic real-time factors associated with a conversation between at least two users. The embodiment may also include identifying an initial context of the conversation. The embodiment may further include analyzing the conversation at specified intervals for the one or more dynamic real-time factors. The embodiment may also include in response to determining there is a change in the initial context of the conversation, generating one or more words based on a new context. The embodiment may further include in response to determining there is no change in the initial context of the conversation, generating one or more words based on the initial context. The embodiment may also include suggesting one or more appropriate words to a user based on a current context.

Abstract: Aspects of the invention include acoustic signature generation via user sentiment embedding. An example method includes an audio signal of user speech, obtaining a user context and a user state space for at least one user, generating a sentiment vector from the user context and the user state space, generating a set of sentiment signals for based on the sentiment vector, and embedding the audio signal with the set of sentiment signals to generate an embedded sentiment signal.

Abstract: An approach for recommending an activity during travel. The approach includes receiving a request for a travel destination and a desired arrival time. Furthermore, the approach determines a route to the travel destination and retrieves external data based on the route. Based on the retrieved data and the route, the approach calculates and outputs an initial activity list. And the approach measures vehicle dynamics based on one or more motion sensors and updates and outputs the activity list based on the vehicle dynamics.

Abstract: Aspects of the invention include acoustic signature generation via user sentiment embedding. An example method includes an audio signal of user speech, obtaining a user context and a user state space for at least one user, generating a sentiment vector from the user context and the user state space, generating a set of sentiment signals for based on the sentiment vector, and embedding the audio signal with the set of sentiment signals to generate an embedded sentiment signal.

Abstract: An approach for recommending an activity during travel. The approach includes receiving a request for a travel destination and a desired arrival time. Furthermore, the approach determines a route to the travel destination and retrieves external data based on the route. Based on the retrieved data and the route, the approach calculates and outputs an initial activity list. And the approach measures vehicle dynamics based on one or more motion sensors and updates and outputs the activity list based on the vehicle dynamics.