Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.

Abstract: A method for virtual try-on of user-wearable items is provided. The method includes capturing, in a client device, a first image of a user, the first image including a reference token for a user-wearable item and displaying, in the client device, images of multiple user-wearable items for the user, receiving an input from the user, the input indicative of a selected user-wearable item from the user-wearable items on display. The method also includes segmenting the first image to separate the reference token from a background comprising a portion of a physiognomy of the user, replacing a segment of the reference token in the first image with an image of the selected user-wearable item in a second image of the user, and displaying, in the client device, the second image of the user.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: Described are techniques for differentiating humans from bots. The techniques including a computer-implemented method comprising presenting a motion-based challenge-response instruction to a user via a user interface of a first device of a plurality of devices associated with the user and communicatively coupled to one another by a network, where the motion-based challenge-response instruction describes at least one motion that is performable by the user and detectable by at least one of the plurality of devices, and where the motion-based challenge-response instruction is configured to differentiate humans from bots. The method further comprises determining that device data from one or more of the plurality of devices matches the at least one motion. The method further comprises authenticating the first device in response to determining that the device data matches the at least one motion, where authenticating the first device indicates that the user is a human.

Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.

Abstract: A queue management method, system, and non-transitory computer readable medium, include managing a queue by modeling a plurality of users in the queue as a non-Newtonian fluid and by modeling the plurality of users as a suspension of particles in the non-Newtonian fluid based on an analysis of cognitive data of each of the plurality of users, a wearable's signals for each user of the plurality of users, and a most likely direction of a movement of each user of the plurality of users to estimate a viscosity of the plurality of users in the non-Newtonian fluid.

Abstract: Described are techniques for differentiating humans from bots. The techniques including a computer-implemented method comprising presenting a motion-based challenge-response instruction to a user via a user interface of a first device of a plurality of devices associated with the user and communicatively coupled to one another by a network, where the motion-based challenge-response instruction describes at least one motion that is performable by the user and detectable by at least one of the plurality of devices, and where the motion-based challenge-response instruction is configured to differentiate humans from bots. The method further comprises determining that device data from one or more of the plurality of devices matches the at least one motion. The method further comprises authenticating the first device in response to determining that the device data matches the at least one motion, where authenticating the first device indicates that the user is a human.

Abstract: The present disclosure describes techniques that facilitate a Governance Regulatory Compliance (C-GRC) controller that is configured to dynamically monitor and collate data associated with an agricultural operation for demonstrating compliance with an agricultural compliance plan. The C-GRC controller may act as a centralized server that dynamically monitors the cycle of agricultural activities for an agricultural product and in doing so, automates the governance of an agricultural compliance plan across a plurality of entities that are each responsible for one or more agricultural activities. The C-GRC controller may detect independent interactions conducted between a complying entity and a participating entity. These interactions may be intended to gather information relating to compliance of a pending task. In doing so, the C-GRC controller may update an agricultural compliance plan accordingly.

Abstract: A computer-implemented method of generating a graphical user interface based on image analysis is disclosed, the method including cognitively analyzing, by a data processing system, an image, which may be associated with a user, to identify item(s) in the image, obtaining, by the data processing system, available image filter(s) based on the identified item(s), presenting, by the data processing system, the available image filter(s) to the user, receiving, by the data processing system, a selection of an image filter from the one or more of the at image filter(s) from the user, and applying, by the data processing system, an image overlay to the image, the image overlay including the selection of an image filter as a selectable option. The available image filter(s) can be obtained by searching for them based on a relationship, by searching based on image filters associated with the identified item(s) or by using a cognitive suggestion service.

Abstract: A method for virtual try-on of user-wearable items is provided. The method includes capturing, in a client device, a first image of a user, the first image including a reference token for a user-wearable item and displaying, in the client device, images of multiple user-wearable items for the user, receiving an input from the user, the input indicative of a selected user-wearable item from the user-wearable items on display. The method also includes segmenting the first image to separate the reference token from a background comprising a portion of a physiognomy of the user, replacing a segment of the reference token in the first image with an image of the selected user-wearable item in a second image of the user, and displaying, in the client device, the second image of the user.

Abstract: A method includes: retrieving an initial flight path for a first unmanned aerial vehicle (UAV), the initial flight path being from a geographical point A to a geographical point B; generating a projected initial energy consumption of the first UAV for completion of a flight along the initial flight path; retrieving a flight path of a second UAV; generating a projected revised energy consumption of the first UAV for completion of a flight along an altered flight path, the altered flight path being a flight path from point A to point B where the first UAV aerodynamically drafts the second UAV for at least a portion of the altered flight path; comparing the projected revised energy consumption to the projected initial energy consumption to determine which of the projected revised energy consumption and the projected initial energy consumption is lower.

Abstract: The present disclosure describes techniques that facilitate a Governance Regulatory Compliance (C-GRC) controller that is configured to dynamically monitor and collate data associated with an agricultural operation for demonstrating compliance with an agricultural compliance plan. The C-GRC controller may act as a centralized server that dynamically monitors the cycle of agricultural activities for an agricultural product and in doing so, automates the governance of an agricultural compliance plan across a plurality of entities that are each responsible for one or more agricultural activities. The C-GRC controller may detect independent interactions conducted between a complying entity and a participating entity. These interactions may be intended to gather information relating to compliance of a pending task. In doing so, the C-GRC controller may update an agricultural compliance plan accordingly.

Abstract: The present disclosure provides systems, devices, and methods for reducing membrane fouling, scaling, and concentration polarization in order to reduce system energy consumption, reduce operational system maintenance and plant downtime, reduce environmental impact and waste, and/or increase membrane flux and/or recovery.

Abstract: Systems and methods for redirecting notifications, including determining that a first mobile device is in motion at a speed that exceeds a threshold value; determining that the while the first mobile device is in motion at a speed that exceeds the threshold value, the first mobile device is within a threshold distance of the second mobile device; determining, from an input received by the first mobile device that the first mobile device is in a position of a driver of an automobile; determining that a second mobile device is in a position of a passenger of the automobile; and automatically transmitting the notification from the first mobile device to the second mobile device, without providing an indication to a user of the first mobile device that the notification was received by the first mobile device.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: A queue management method, system, and non-transitory computer readable medium, include managing a queue by modeling a plurality of users in the queue as a non-Newtonian fluid and by modeling the plurality of users as a suspension of particles in the non-Newtonian fluid based on an analysis of cognitive data of each of the plurality of users, a wearable's signals for each user of the plurality of users, and a most likely direction of a movement of each user of the plurality of users to estimate a viscosity of the plurality of users in the non-Newtonian fluid.