Abstract: Techniques for drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: A system for charging a vehicle, includes a processing device which is communicatively coupled to a plurality of vehicles and maintains a forward model for modeling vehicle charging data for the plurality of vehicles, and a computing device which, based on the forward model, maintains a charge exchange market which directs a formation of a flash charge mob of vehicles from the plurality of vehicles at an optimal location to exchange charge.

Abstract: A signal transmission control method, system, and computer program product, include an advanced vehicle signal transmission control according to a context of the vehicle where a differential signal transmission action is performed based on the context.

Abstract: A system for managing power consumption in a vehicle, includes an optimizing unit for optimizing a plurality of parameters to determine a power to be consumed by the vehicle based on a plurality of power source signatures for a plurality of power sources; and an operating mode setting unit for setting an operating mode for powering the vehicle based on the determined power.

Abstract: A geofence filtering method, system, and non-transitory computer readable medium, include a user location monitoring circuit configured to monitor a pinpoint location of a user and a boundary location of the user, a geofence determining circuit configured to determine a plurality of geofences that overlap with the boundary location of the user, the plurality of geofences being stored in a database, and a cognitive filtering and ranking circuit configured to filter the plurality of geofences that overlap with the boundary location of the user based on a cognitive factor and to rank the filtered geofences based on the cognitive factor to deliver to a user device when a pinpoint location of the user overlaps with the plurality of geofences.

Abstract: A doorbell control method, system, and non-transitory computer readable medium for a doorbell, include causing a doorbell to perform a differentiated action based on doorbell data and calendar data of an electronic calendar, and annotating the calendar with information based on an activation of the doorbell.

Abstract: Techniques for drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: Techniques for drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: Techniques for drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: A cognitive state amelioration method, system, and computer program product, include predicting a cognitive state of a user based on at least one of a plurality of inputs including a physiological state of the user, a gesture of the user, a speech pattern of the user, and an internal state status of the user received from a second user, performing an ameliorating action to treat the cognitive state of the user when the predicting predicts a negative type of the cognitive state, and learning an effectiveness of the ameliorating action for treating the negative type of the cognitive state for the predicting to predict a different cognitive state, thereby to dictate a different ameliorating action to treat the different cognitive state more effectively.

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 horn honking control method, system, and computer program product, include an advanced vehicle horn honking control according to a context of the vehicle where a differential horn honking action is performed based on the context.

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 drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: A horn honking control method, system, and computer program product, include an advanced vehicle horn honking control according to a context of the vehicle where a differential horn honking action is performed based on the context.

Abstract: A doorbell control method, system, and non-transitory computer readable medium for a doorbell, include causing a doorbell to perform a differentiated action based on doorbell data and calendar data of an electronic calendar, and annotating the calendar with information based on an activation of the doorbell.

Abstract: Techniques for drone device control are provided. In one example, a computer-implemented method comprises establishing, by a plurality of drone devices respectively operatively coupled to processors and coordinating with one other, a defined region of a defined coordinate space of a geographic area, wherein the defined region is associated with an animal. The computer-implemented method also comprises monitoring, by the plurality of drone devices, a physical relationship between the animal and the defined region. The computer-implemented method can also comprise, in response to identifying that the physical relationship between the animal and the defined region fails to meet a criterion, performing, by the plurality of drone devices, a pattern of operations selected to alter the physical relationship between the animal and the defined region to satisfy the criterion.

Abstract: Techniques for drone device control are provided. In one example, the technique includes monitoring, by a drone device operatively coupled to a processor and allocated to a vehicle in operation, one or more conditions associated with the vehicle. The technique also includes, in response to identifying, by the drone device, a defined condition of the one or more conditions: moving, by the drone device, to a position relative to the vehicle and determined based on the defined condition; and performing, by the drone device, an indication operation determined based on the defined condition.

Abstract: A risk management method, system, and non-transitory computer readable medium, include a data analyzing circuit configured to analyze user data, site data, and equipment data to map prior behavior types to an event on a site, a relationship determining circuit configured to determine a relationship between the mapped data and the event based on behaviors exhibited by the user and an impact on a performance factor and a risk factor, and a reinforcement learning circuit configured to use reinforcement learning to learn the performance factor to the risk factor ratio to optimize an overall site productivity.

Abstract: A restaurant management method, system, and non-transitory computer readable medium, include receiving a state of a user from user data, determining a confidence value that a restaurant change results in an improvement of the state of the user, and deploying the restaurant change when the confidence value is greater than a predetermined threshold value