Abstract:
A user may be allowed to specify a change in one or more parameter data associated with the project, the one or more parameter data used previously to compute a probability distribution of completion time of the project. The probability distribution of completion time of the project may be recomputed based on the change. The recomputed probability distribution of the completion time of the project may be presented. An option to save the recomputed probability distribution may be provided. An option may be provided to specify another change in one or more parameter data associated with the project and repeat the recomputing and the presenting procedures based on another change in one or more parameter data associated with the project.
Abstract:
A method of providing a user interface with recipient status information, in one aspect, may comprise detecting a message (e.g., online message such as instant messaging, chat, etc.) being initiated by a first user to a second user; gathering information associated with the second user; analyzing the gathered information; predicting a state of the second user based on the analyzing; and determining a notification action based on the predicted state of the second user, the notification action notifying the first user of the second user's state; and presenting a notification comprising one or more of graphical, textual, auditory, or tactile indications or combinations thereof to the first user.
Abstract:
In a method for communicating characteristics of an electronic document, a coefficient representative of predetermined characteristics of the electronic document is determined. The coefficient is associated with a corresponding audio rendering parameter. A speech signal communicating content of the electronic document is generated. The speech signal includes predetermined text content items audio formatted based on the audio rendering parameter. The speech signal is rendered to the user.
Abstract:
The present invention provides a system and a method of monitoring and communicating biomedical data to a remote receiver. Specifically, the present invention provides a system and method that can monitor a biomedical-based electromagnetic field, e.g., heart rate variability (HRV) field, emitted from a human user (“sender”), and/or communicate the biomedical-based electromagnetic field to a remote receiver by measuring the biomedical-based electromagnetic field emitted from the sender, creating an electronic signal corresponding to the field and transmitting or broadcast and/or apply the signal to a remote receiver.
Abstract:
A method controls an operational mode of a self-driving vehicle (SDV). One or more physical detectors detect an erratically driven vehicle (EDV) that is being operated in an unsafe manner within a predetermined distance of an SDV that is initially being operated in an evasive autonomous mode. One or more processors retrieve traffic pattern data for other SDVs, and examine the traffic pattern data to 1) determine a first traffic flow of the other SDVs while operating in the evasive autonomous mode, and 2) determine a second traffic flow of the other SDVs while operating in a manual mode. In response to determining that the first traffic flow has a higher accident rate than the second traffic flow, an operational mode device changes the operational mode of the SDV from the evasive autonomous mode to the manual mode.
Abstract:
A graphical interface module may provide a set of graphical presentations comprising at least: a Likelihood of Delivery chart showing a probability distribution of predicted delivery dates; a Delivery Date Risk Trend chart showing how the completion time for the project predicted according to the Likelihood of Delivery chart has changed over time; and a Burndown chart that shows at least work-items of planned work for the project. Each of the Likelihood of Delivery chart, the Delivery Date Risk Trend chart, and the Burndown chart has a timeline axis.
Abstract:
An input is selected from a set of inputs used by a prediction model to produce an initial predicted value of an outcome. A changed predicted value of the outcome is produced by removing the selected input from the inputs to the model. An actual value of the outcome is obtained. A label residual is computed using the actual value and the changed predicted value. A second prediction model is formed to predict a value of the selected input. A variable residual is computed using an actual value and the predicted value of the selected input. An expression is generated of a plot of the label residual and the variable residual. The selected input is transformed, to form a transformed selected input, where the model produces a second predicted value of the outcome by using the transformed selected input.
Abstract:
An autonomous drone service system controls at least one drone vehicle configured to autonomously navigate along a flight path to provide one or more services requested by a user. The system includes an electronic service provider device to receive at least one service request signal generated by a user device. The request signal indicates at least one requested service provided by the drone service system and location or locations associated with the requested services. The electronic service provider device that automatically maps the at least one requested service to the at least one drone vehicle, and commands the at least one drone vehicle to perform the service request at the one or more locations.
Abstract:
A possible failure of a first device may be identified. Whether a user of the first device has a scheduled meeting to be held within a time range of the possible failure, may be determined by accessing calendar information. Responsive to determining that the user has the scheduled meeting to be held within the time range of the possible failure, at least one other participant of the scheduled meeting may be determined by accessing the calendar information, a contact address for said at least one other participant may be determined, and information may be transferred to the at least one other participant via the contact address.
Abstract:
A computer-implemented method, system, and/or computer program product automatically provides spatial separation between a self-driving vehicle (SDV) operating in an autonomous mode and another vehicle on a roadway. One or more processors receive an emotional state descriptor for at least one occupant of the SDV and determine an emotional state of the occupant(s) of the SDV. A vehicle detector on the SDV detects another vehicle within a predefined proximity of the SDV. The processor(s) determine the braking abilities of the SDV and issue spatial separation instructions to a control mechanisms controller on the SDV to adjust a spacing between the SDV and the other vehicle based on the emotional state of the occupant(s) in the SDV.