Abstract: A camera selection system and method for automatically selecting an appropriate camera to use for capturing photos and videos is provided. The method includes the steps of detecting that a camera application has been opened, activating a first camera and a second camera of the mobile device, analyzing a feed received from the first camera and a feed received from the second camera to detect whether a face is present in a field of view of the first camera or the second camera, determining that the user intends to use the first camera based on a detection of the face in the field of view of the first camera, deactivating the second camera in response to the determining and displaying the feed received from the first camera on the main display of the mobile device for viewing by the user while using the camera application.

Abstract: The system, method, and computer program product described herein leverage a user's social media data to personalize the user's gameplay experience based on the user's personality traits including comparing the personality characteristics data of the user to a plurality of rules each including an expression and at least one parameter that is associated with the expression, generating a player profile for the user based on the comparison of the personality characteristics data to the plurality of rules where a value of at least one parameter in the player profile is determined based on a value of the at least one parameter of a respective rule of the plurality of rules if the expression of that respective rule is met by the personality characteristics data, personalizing a game for the user based on the parameters in the generated player profile and presenting the personalized game to the user.

Abstract: A camera selection system and method for automatically selecting an appropriate camera to use for capturing photos and videos is provided. The method includes the steps of detecting that a camera application has been opened, activating a first camera and a second camera of the mobile device, analyzing a feed received from the first camera and a feed received from the second camera to detect whether a face is present in a field of view of the first camera or the second camera, determining that the user intends to use the first camera based on a detection of the face in the field of view of the first camera, deactivating the second camera in response to the determining and displaying the feed received from the first camera on the main display of the mobile device for viewing by the user while using the camera application.

Abstract: A method and system enabling a process for preventing a vehicular accident is provided. The method includes continuously monitoring vehicular impact conditions associated with a vehicle in motion. In response, an imminent impact event associated with the vehicle in motion and an external object is detected and a surface of a roadway below the vehicle in motion is scanned by sensors of the vehicle. Results of the scanning indicate that the roadway surface is safe for deployment of a destructive friction based braking mechanism of the vehicle. The destructive friction based braking mechanism is deployed with respect to a first braking force threshold and it is determined if rate of speed decrease exceeds a specified speed decrease threshold.

Abstract: Embodiments of the present invention enable users to extract knowledge from testing scenarios performed during application development, and later employ that knowledge to interpret application usage scenarios to enhance serviceability of applications by expediting identification and solving of problems. In an exemplary embodiment, log data generated during simulation of test cases is analyzed to create one or more rules based on patterns in which one or more log entries appear in the log data. Later, log data may be analyzed to look for a pattern of log entries that matches a pattern-based rule, thereby facilitating faster identification and resolution of the problem.

Abstract: Detection of an image obstruction is facilitated by, in part, obtaining multiple frames of an image being captured via an imaging device, and confirming movement of the imaging device between the multiple frames. The movement causes perspective shifting of the image between frames and the perspective shifting results in one or more objects of the image shifting between frames. The detection process determines whether an edge object within the multiple frames does not shift in a manner corresponding to the one or more objects between the multiple frames, and based, at least in part, on determining that the edge object does not shift in the corresponding manner to the one or more objects, identifying the edge object as an image obstruction. Presence of the identified image obstruction is signaled to facilitate corrective action being taken.

Abstract: Embodiments of the present invention enable users to extract knowledge from testing scenarios performed during application development, and later employ that knowledge to interpret application usage scenarios to enhance serviceability of applications by expediting identification and solving of problems. In an exemplary embodiment, log data generated during simulation of test cases is analyzed to create one or more rules based on patterns in which one or more log entries appear in the log data. Later, log data may be analyzed to look for a pattern of log entries that matches a pattern-based rule, thereby facilitating faster identification and resolution of the problem.

Abstract: Embodiments of the present invention enable users to extract knowledge from testing scenarios performed during application development, and later employ that knowledge to interpret application usage scenarios to enhance serviceability of applications by expediting identification and solving of problems. In an exemplary embodiment, log data generated during simulation of test cases is analyzed to create one or more rules based on patterns in which one or more log entries appear in the log data. Later, log data may be analyzed to look for a pattern of log entries that matches a pattern-based rule, thereby facilitating faster identification and resolution of the problem.

Abstract: According to one embodiment, a method, computer system, and computer program product for cloud integration for autonomous vehicles is provided. An embodiment may include receiving a location for the autonomous vehicle from a global positioning system, may also include determining a rule area in which the autonomous vehicle is located based on the received location, may include identifying a traffic rule set associated with the determined rule area, may also include, in response to determining that the identified traffic rule set is not available for the determined rule area, transmitting a manual mode alert to a user, and may include enabling a manual mode in the autonomous vehicle.

Abstract: Dynamic security questions. In an embodiment of the invention, a security question and one or more rules for generating an answer to the security question are received. The security question and the rules for generating and answer to the security question are associated with security credentials of a user. For authentication, a first answer to a security question associated with a user is received. One or more rules for generating an answer to the security question are retrieved. A second answer to the security question is generated, based on the retrieved rules. The first answer is compared with the second answer, and the user is authenticated, based on the first answer matching the second answer.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems for optimizing log analysis, such as in SaaS environments. Embodiments of the present invention can be used to determine an optimal log analysis location and ensure that the log file is processed at the optimal location based, at least in part, on the log file size and available network bandwidth.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: A Bowman's Refractive Index (BRI) for quantification of microdistortions in Bowman's Layer (BL) after Small Incision Lenticule Extraction (SMILE) is defined for a patient. BRI is summation of one or more areas of the OCT image of anterior edge of Bowman's layer, quantifies the smoothness of the Bowman's layer. The anterior edge of Bowman's layer is segmented into pixels. After segmentation, a 3rd order polynomial is curve fit to the segmented pixels of the edge of Bowman's layer. BRI is calculated by segmentation of the 3-Dimensional (3-D) OCT image. BRI acts as a marker for mechanical stability and is useful for diagnosis of disease and prognosis of treatments in human.

Abstract: A method for encoding and decoding a javascript object notation (JSON) document utilizing a statistical tree representing a JSON Schema. The encoded statistical tree may be optimized.

Abstract: A camera selection system and method for automatically selecting an appropriate camera to use for capturing photos and videos is provided. The method includes the steps of detecting that a camera application has been opened, activating a first camera and a second camera of the mobile device, analyzing a feed received from the first camera and a feed received from the second camera to detect whether a face is present in a field of view of the first camera or the second camera, determining that the user intends to use the first camera based on a detection of the face in the field of view of the first camera, deactivating the second camera in response to the determining and displaying the feed received from the first camera on the main display of the mobile device for viewing by the user while using the camera application.

Abstract: An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

Abstract: Embodiments of the present disclosure provide a method, system, and computer program product for certifying resiliency and recoverability level of services. The method, system and computer program product include receiving a level of testing for a target service used by an application in an ordinary course of operation. The monitoring system disrupts expected behavior of the application by adjusting one or more parameters of the application. The monitoring system determines whether the service is able to recover based on the application behavior. Upon determining that the service is able to recover based on the application behavior, reporting the level of testing as the level of testing received.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems for optimizing log analysis, such as in SaaS environments. Embodiments of the present invention can be used to determine an optimal log analysis location and ensure that the log file is processed at the optimal location based, at least in part, on the log file size and available network bandwidth.

Abstract: Help page techniques including: (i) sending, by a customer computer, heterogeneous software context data to a central registry over a communication network; (ii) receiving, by the customer computer, from a registry server over the communication network, a set of network address information including at least a first network address information for contacting a first provider server relating to the first software product and a second network address information for contacting a second provider server relating to the second software product; and (iii) linking, by the customer computer, the first and second network address information on a single set of help page(s).

Abstract: Help page techniques including: (i) sending, by a customer computer, heterogeneous software context data to a central registry over a communication network; (ii) receiving, by the customer computer, from a registry server over the communication network, a set of network address information including at least a first network address information for contacting a first provider server relating to the first software product and a second network address information for contacting a second provider server relating to the second software product; and (iii) linking, by the customer computer, the first and second network address information on a single set of help page(s).