Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems detect, via a graphical user interface of a client device, a user selection of an object portrayed within a digital image. The disclosed systems determine, in response to detecting the user selection of the object, a relationship between the object and an additional object portrayed within the digital image. The disclosed systems receive one or more user interactions for modifying the object. The disclosed systems modify the digital image in response to the one or more user interactions by modifying the object and the additional object based on the relationship between the object and the additional object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems receive a digital image from a client device. The disclosed systems detect, utilizing a shadow detection neural network, an object portrayed in the digital image. The disclosed systems detect, utilizing the shadow detection neural network, a shadow portrayed in the digital image. The disclosed systems generate, utilizing the shadow detection neural network, an object-shadow pair prediction that associates the shadow with the object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to synthesize shadows for object(s). For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access an object mask of the object depicting in the digital image. The disclosed systems further combine the object mask, the digital image, and a noise representation to generate a combined representation. Moreover, the disclosed systems generate a shadow for the object from the combined representation and further generates the modified digital image by combining the shadow with the digital image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that provides a graphical user interface experience to move objects and generate new shadows within a digital image scene. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems receive a selection to position an object in a first location within the scene. Further, the disclosed systems composite an image by placing the object at the first location within the scene of the digital image. Moreover, the disclosed systems generate a modified digital image having a shadow of the object where the shadow is consistent with the scene and provides the modified digital image to the client device.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems generate, utilizing a segmentation neural network and without user input, object masks for objects in a digital image. The disclosed systems determine foreground and background abutting an object mask. The disclosed systems generate an expanded object mask by expanding the object mask into the foreground abutting the object mask by a first amount and expanding the object mask into the background abutting the object mask by a second amount that differs from the first amount. The disclosed systems inpaint a hole corresponding to the expanded object mask utilizing an inpainting neural network.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing to remove a shadow for an object. For instance, in one or more embodiments, the disclosed systems receive a digital image depicting a scene. The disclosed systems access a shadow mask of the shadow in a first location. Further, the disclosed systems generate the modified digital image without the shadow by generating a fill for the first location that preserves a visible location of the first location. Moreover, the disclosed systems generate the digital image without the shadow for the object by combining the fill with the digital image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For instance, in one or more embodiments, the disclosed systems provide, for display within a graphical user interface of a client device, a digital image displaying a plurality of objects, the plurality of objects comprising a plurality of different types of objects. The disclosed systems generate, utilizing a segmentation neural network and without user input, an object mask for objects of the plurality of objects. The disclosed systems determine, utilizing a distractor detection neural network, a classification for the objects of the plurality of objects. The disclosed systems remove at least one object from the digital image, based on classifying the at least one object as a distracting object, by deleting the object mask for the at least one object.

Abstract: Described is a putty composition for wind turbine blades. The putty composition includes a) a base composition that includes i) one or more amino functional resin including one or more polyaspartic ester and/or one or more polyetheraspartic ester, and ii) one or more hydroxy functional resin including one or more hydroxy functional polymer and/or one or more castor oil based polyol; and b) a curing agent comprising one or more polyisocyanates; wherein the one or more hydroxy functional resin ii) constitutes 1-10 parts.

Abstract: A booster-ejector system captures and recycles leakage fluids from a process. When a pressure differential (head) of the process is above a threshold value, an ejector system uses motive fluid from a process high-pressure (HP) region to entrain and compress the leakage fluid, and direct it to a low pressure (LP) region. When the head is below the threshold value, a controller reconfigures a plumbing system and activates a leakage pump to pump the leakage fluid to the LP region. The system can include only one ejector, or a plurality thereof, which can be coupled such that the diffuser output of each ejector is directed to the suction input of the next ejector. At least one of the ejectors can include an exchangeable throat, which can impart a rotational component to the fluid. The HP and LP regions can be the output and input, respectively, of a compressor.

Abstract: A distractor detector includes a heatmap network and a distractor classifier. The heatmap network operates on an input image to generate a heatmap for a main subject, a heatmap for a distractor, and optionally a heatmap for the background. Each object is cropped within the input image to generate a corresponding cropped image. Regions within the heatmaps that correspond to the objects are identified, and each of the regions is cropped within each of the heatmaps to generate cropped heatmaps. The distractor classifier then operates on the cropped images and the cropped heatmaps to classify each of the objects as being either a main subject or a distractor.

Abstract: A distractor detector includes a heatmap network and a distractor classifier. The heatmap network operates on an input image to generate a heatmap for a main subject, a heatmap for a distractor, and optionally a heatmap for the background. Each object is cropped within the input image to generate a corresponding cropped image. Regions within the heatmaps that correspond to the objects are identified, and each of the regions is cropped within each of the heatmaps to generate cropped heatmaps. The distractor classifier then operates on the cropped images and the cropped heatmaps to classify each of the objects as being either a main subject or a distractor.

Abstract: Methods and apparatus to track network topology changes are disclosed. An example topology tool to track a change to a network topology includes a message processor to, in response to a reporting message generated by a software defined network controller, identify a unique identifier (UID) associated with a network element to be subject to a topology change event, where the reporting message including topology change information corresponding to the topology change event scheduled to occur at a future time. A database search tool is to search a first topology database for a first post-confirmation data record corresponding to the UID and in response to the first post-confirmation data record missing from the first topology database, search a second topology database for a first pre-confirmation data record corresponding to the UID. A database controller is to generate a second pre-confirmation data record in response to the first pre-confirmation data record missing from the second topology database.

Abstract: Methods and apparatus to track network topology changes are disclosed. An example topology tool to track a change to a network topology includes a message processor to, in response to a reporting message generated by a software defined network controller, identify a unique identifier (UID) associated with a network element to be subject to a topology change event, where the reporting message including topology change information corresponding to the topology change event scheduled to occur at a future time. A database search tool is to search a first topology database for a first post-confirmation data record corresponding to the UID and in response to the first post-confirmation data record missing from the first topology database, search a second topology database for a first pre-confirmation data record corresponding to the UID. A database controller is to generate a second pre-confirmation data record in response to the first pre-confirmation data record missing from the second topology database.

Abstract: Methods and apparatus to track network topology changes are disclosed. An example apparatus includes machine readable instructions, and a processor to execute the instructions to perform operations. The operations include, in response to a reporting message generated by a software defined controller containing topology change information corresponding to a topology change event scheduled to occur at a future time, store, in a topology database, a pre-validation data record reflecting the occurrence of the topology change event. The pre-validation data record indicates the occurrence is not validated. In addition, a validation seeking message is generated to validate occurrence of the topology change event and is transmitted to a network device to be subject to the topology change event after the future time. In response to a validation message from the network device, a post-validation data record is stored in the topology database.

Abstract: A process and system for user-controlled configuration of an Internet protocol network. The user may supply input for generating a network classification profile, which includes a number of classes of service (COSs) for prioritizing network traffic, including video transmission. A quality of service (QOS) may be measured and compared with a COS for video transmission. Depending on the measured QOS, a network alert may be issued and a priority of packets associated with the COS for video transmission may be increased.

Abstract: Methods and apparatus to track network topology changes are disclosed. An example apparatus includes machine readable instructions, and a processor to execute the instructions to perform operations. The operations include, in response to a reporting message generated by a software defined controller containing topology change information corresponding to a topology change event scheduled to occur at a future time, store, in a topology database, a pre-validation data record reflecting the occurrence of the topology change event. The pre-validation data record indicates the occurrence is not validated. In addition, a validation seeking message is generated to validate occurrence of the topology change event and is transmitted to a network device to be subject to the topology change event after the future time. In response to a validation message from the network device, a post-validation data record is stored in the topology database.

Abstract: Methods and apparatus to track network changes are disclosed herein. An example method to track a network topology includes, in response to a reporting message including topology change information corresponding to a topology change event, generating a confirmation-seeking message based on the topology change information to confirm the topology change event and updating a topology data set representing the network topology based on a response to the confirmation-seeking message. Further disclosed methods include generating a pre-confirmation data record that reflects the topology change information contained in the reporting message, and storing the pre-confirmation data record in a pre-confirmation topology database.

Abstract: A gas supply system for a mechanical seal turns on the gas supply at a pressurized flow rate at the time of compressor case pressurization and remains on during compressor rotation until pressure is adequate. The gas supply system has an intensifier that includes a pair of mechanically inter-connected pneumatic pressure cylinders which comprise a drive cylinder that affects movement of a boost cylinder wherein the displacement of these mechanically interconnected pistons in the drive cylinder and boost cylinder intensifies the pressure being discharged by the boost cylinder and supplied as a barrier fluid to the mechanical seal. The intensifier uses a control valve and operating system which includes a fast-acting 5/2-way solenoid valve having a feedback loop connected to a control system which includes a microprocessor that controls valve actuation.

Abstract: Methods and apparatus to track network changes are disclosed herein. An example method to track a network topology includes, in response to a reporting message including topology change information corresponding to a topology change event, generating a confirmation-seeking message based on the topology change information to confirm the topology change event and updating a topology data set representing the network topology based on a response to the confirmation-seeking message. Further disclosed methods include generating a pre-confirmation data record that reflects the topology change information contained in the reporting message, and storing the pre-confirmation data record in a pre-confirmation topology database.

Abstract: A process and system for user-controlled configuration of an Internet protocol network. The user may supply input for generating a network classification profile, which includes a number of classes of service (COSs) for prioritizing network traffic, including video transmission. A quality of service (QOS) may be measured and compared with a COS for video transmission. Depending on the measured QOS, a network alert may be issued and a priority of packets associated with the COS for video transmission may be increased.