Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including a forecasting device configured to forecast hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements, where the forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.

Abstract: A method, system, and non-transitory compute readable medium for a fraud detection including a calendar reading device configured to read calendar data of a calendar for a user, a purchase detection device configured to detect an attempted purchase using a credit-card of the user, and a risk detection device configured to detect fraud by calculating a risk based on the calendar data and data related to the attempted purchase.

Abstract: A method, system, and non-transitory computer readable medium for hidden evidence correlation and causation linking including computing a correlation link based on hidden evidence found in relation to a user input in hidden cycle measurements, forecasting the hidden evidence into future forecasted cycle measurements, and computing a causation link based on the future forecasted cycle measurements.

Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including a forecasting device configured to forecast hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements, where the forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.

Abstract: A method, system, and non-transitory compute readable medium for a fraud detection include determining, via a risk detection device, a location of a user device at a time of an attempted purchase, determining, via the risk detection device, an intended location of the user from calendar data, and updating, via the risk detection device, a likelihood of fraud based on the intended location of the user and the location of the attempted purchase.

Abstract: A method, system, and non-transitory compute readable medium for a fraud detection including a calendar reading device configured to read calendar data of a calendar for a user, a purchase detection device configured to detect an attempted purchase using a credit-card of the user, and a risk detection device configured to detect fraud by calculating a risk based on the calendar data and data related to the attempted purchase.

Abstract: One aspect of the present invention provides an alerting device for sending an alert message. The method includes: determining at least one cognitive needs of one or more message recipients in the area; selecting an alert message that meets the needs of one or more message recipients in the area; and sending the alert message to one or more message recipients in the area.

Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including computing a correlation link based on hidden evidence found in relation to a user input in hidden cycle measurements, forecasting the hidden evidence into future forecasted cycle measurements, and computing a causation link based on the future forecasted cycle measurements.

Abstract: A method, system, and non-transitory compute readable medium for a fraud detection including a calendar reading device configured to read calendar data of a calendar for a user, a purchase detection device configured to detect an attempted purchase using a credit-card of the user, and a risk detection device configured to detect fraud by calculating a risk based on the calendar data and data related to the attempted purchase.

Abstract: One aspect of the present invention provides an alerting device for sending an alert message. The method includes: determining at least one cognitive needs of one or more message recipients in the area; selecting an alert message that meets the needs of one or more message recipients in the area; and sending the alert message to one or more message recipients in the area.

Abstract: Embodiments may be implemented by a computing device, such as a head-mountable display or mobile phone, in order to pre-emptively warm up the device's camera, when it is probable that a user will be taking a photo. An illustrative method involves a computing device (a) receiving sensor data from one or more sensors associated with the computing device, wherein the computing device comprises an image-capture device, (b) analyzing the sensor data to detect at least one pre-image-capture signal, wherein the at least one pre-image-capture signal indicates a subsequent image-capture signal is likely to be received, and (c) in response to detecting the at least one pre-image-capture signal, causing the computing device to initiate an image-capture preparation process that prepares the image-capture device to capture an image.

Abstract: An apparatus and method for measuring a person's biometric data as well as associated data and for using that data to determine the person's talents and well-being state, as well as predicting an optimal career path for the person. Biometric data is measured using a sensor, a memory configured to store the biometric signals, a database configured to store and retrieve profiles, and a processor configured to compare biometric data as well as associated data with anonymous profiles stored in the database and create a profile for the person.

Abstract: Methods of detecting, and providing a notification of, the existence of misinformation using usage patterns of a network service enable an organization to respond to the misinformation. The method includes establishing common usage patterns of the network service, identifying an irregular usage pattern, determining that the irregular usage pattern was caused by misinformation, and responding to the misinformation.

Abstract: A method for profiling performance of a system includes steps of: monitoring execution of the system at multiple points during the system's operation; analyzing results derived from the monitoring in order to provide analyzed results; reconfiguring the monitoring non-uniformly according to the analyzed results; and repeatedly performing iterations of the above steps until a particular event occurs. The iterations may be terminated upon: reaching a specified level of analysis precision, determining a source of one or more performance bottlenecks, determining a source of unexpectedly high output or low completion time, completing a predefined number of iterations, reaching an endpoint of an application, or having performed iterations for a specified period of time.

Abstract: A system for optimizing at least one of a design, production, or testing process of a product in a mass manufacturing process includes: a central processing unit; a network interface operatively connected to the central processing unit; a storage device; a memory including logic for execution by the central processing unit, wherein the logic includes: a server handler made up of a client applet and a client interface servlet which are configured for enabling authorized end-user communication; an error data collection handler configured for gathering error data; an error data classification handler; an analysis handler; a suggested actions report handler; and the system further includes a server database configured for storing, modifying, and deleting data.

Abstract: A method within a system wherein a first user of the system provides information on social patterns to a second user includes: receiving a request for social pattern information from the second user, the request comprising a query; assigning authorization level to the second user for restricting the type and amount of data provided to the second user; providing information on social patterns to the second user according to the second user's authorization level; and storing information about the second user to be used in future transactions with the second user, the information including transactional fee data and subscription data for notifying the second user of additional social patterns as they develop.

Abstract: A method, system and computer readable article of manufacture for displaying visualization from an event log. According to the method, sequences are extracted from the event log. The event log is a record of a plurality of events that occurred. A sequence graph is generated from the sequences. The sequence graph includes nodes representing the events of the event log and the events of each node have a common property. A sequence graph visualization is displayed from the sequence graph. The sequence graph visualization includes (i) node icons representing the nodes of the sequence graph, (ii) node transition icons representing relationships between nodes, and (iii) an event icon for each of the one or more events of a corresponding node.

Abstract: A system and method for processing a request by a first control service using a first control specification language, and a second control service using a second control specification language includes steps of: receiving the request from a requestor; providing the request to the first and second control services; receiving a decision on the request from each of the first and second control services; and comparing the decisions. The first control specification language is an access control policy.

Abstract: A computer-implemented system for providing a skill level assessment of a developer of a given object, based on defects found in the object, includes: a processor configured for: receiving the object; obtaining at least one requirement associated with the object; obtaining at least one requirement associated with the developer of the object; finding defects in the object, based on the at least one requirement; mapping the defects found to a listing of actions; creating the skill level assessment of the developer using the mapped defects; and presenting the assessment to a user of the method. The system also includes a network interface, storage, and memory. In addition, logic stored in memory includes an obtain objects handler; a requirements assessment handler; a code analysis handler; a skill level handler; a report handler; and a development skill assessment database.

Abstract: A computer-implemented method of optimizing at least one of a design, production and testing process in a mass manufacturing process includes steps of: collecting error data relating to a product; classifying the error data into categories of symptoms; mapping the symptom to a revealing condition of the product; mapping the revealing condition to a test type; mapping a scope of a fix to phases of error injection mapping; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the scope of the fix.