Abstract: A system and a method of predicting outcome of a sporting event are disclosed. The method comprises receiving a predicted outcome of a sporting event from at least one team. Each team comprises a plurality of individuals. Each of the individuals predicts the outcome of the sporting event. The method further comprises aggregating the predicted outcome received from each individual in a team to determine a team consensus prediction for the outcome of the sporting event. The method further comprises capturing an eventual outcome of the sporting event. The method further comprises comparing the eventual outcome with the team consensus predictions to identify and reward a team and the individuals predicting the eventual outcome.

Abstract: Systems and methods are provided for determining, at a controller of a device of a premises management system having a head unit and a backplate, at least a partial removal of the head unit from the backplate based on a position of a removal switch that detects connectivity between the head unit and the backplate. When the controller determines that the position of the removal switch is in an open position, an orientation of the head unit may be continuously determined based on an output signal from an accelerometer coupled to the head unit. A tampering signal is output based on the open position of the backplate removal switch and the determined orientation of the head unit.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects having those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects having those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: A computing device can automatically generate a flow diagram showing statuses that objects in a system can possess, and the possible transitions between these statuses. Using snapshots of database data, the device can determine how the statuses of these objects have changed over time. The device can analyze the data to suggest which database fields likely represent object status. The device can render the flow diagram to illustrate system states at different selected times. Each rendered flow diagram can indicate, for the selected time point, the quantity of objects that possessed each status at that time, and, for a selected time interval, the quantity of objects that changed from each status to each other status during that time interval. The statuses can be represented in the flow diagram as status bubbles having sizes that are based on the quantities of objects have those bubble's statuses at the selected time point.

Abstract: Systems and methods for identifying, tracking, tracing and determining the authenticity of a good are described herein. In some embodiments, a system includes an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good at the good's origin. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image of the good to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system, and is configured to store the information therein.

Abstract: Systems and methods for identifying, tracking, tracing and determining the authenticity of a good are described herein. In some embodiments, a system includes an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good at the good's origin. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image of the good to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system; and is configured to store the information therein.

Abstract: A system for processing sensor information in a wireless communications device, comprising a sensor processing module for execution by the microprocessor, the sensor processing module being configured to: receive a signal representing the state of the sensor; and process the received signal to determine whether there is a change in a state of the device; wherein processing the received signal includes implementation of a hysteresis.

Abstract: An integrated self-supporting and deformation-resistant modular driver's cabin structure for mounting to the front end of a rail vehicle body and for providing a driver space and a windshield opening, is composed of a composite sandwich structure with a single, common, continuous outer skin layer, a single, common, continuous inner skin layer and an internal structure wholly covered with and bonded to the inner and outer skin layers, the internal structure comprising a plurality of core elements. The driver's cabin structure comprises at least: side pillars each having a lower end and an upper end, and an undercarriage structure at the lower end of each of the side pillars. The fiber-reinforced sandwich located in the side pillars is provided with several layers of fibers oriented to provide a high bending stiffness. The fiber-reinforced sandwich of the undercarriage structure is such to transfer static and crash loads without flexural buckling.

Abstract: A method of detecting and recovering from stuck keys on an electronic device keyboard comprises receiving one or more messages by a processor based upon a predetermined periodic scan rate and each message corresponding to a pressed key, determining one of the pressed keys is a stuck key based upon the received one or more messages corresponding to a pressed key, sending a mock key-up message from the processor to a keyboard controller in response to the determined stuck key, operating the keyboard controller at a changed scan rate in response to the mock key-up message, detecting the electronic device keyboard is in a released key state by the processor; and operating the keyboard controller at the predetermined periodic scan rate in response to the detected released key state. The processor can include two components, such as a keyboard processor and a keyboard controller.

Abstract: An integrated self-supporting and deformation-resistant modular driver's cabin structure for mounting to the front end of a rail vehicle body and for providing a driver space and a windshield opening, is composed of a composite sandwich structure with a single, common, continuous outer skin layer, a single, common, continuous inner skin layer and an internal structure wholly covered with and bonded to the inner and outer skin layers, the internal structure comprising a plurality of core elements. The driver's cabin structure comprises at least: side pillars each having a lower end and an upper end, and an undercarriage structure at the lower end of each of the side pillars. The fibre-reinforced sandwich located in the side pillars is provided with several layers of fibres oriented to provide a high bending stiffness. The fibre-reinforced sandwich of the undercarriage structure is such to transfer static and crash loads without flexural buckling.

Abstract: Systems and methods for identifying, tracking, tracing and determining the authenticity of a good are described herein. In some embodiments, a system includes an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good at the good's origin. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image of the good to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system; and is configured to store the information therein.

Abstract: Systems and methods for identifying, tracking, tracing and determining the authenticity of a good include an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system, and to store the information therein. The authentication center is configured to analyze the field image with respect to the information stored in the database to determine whether the unique signature in the field image is a match to the captured image stored in the database.

Abstract: Systems and methods for identifying, tracking, tracing and determining the authenticity of a good include an imaging system, a database, and an authentication center. The imaging system is configured to capture an image of a unique signature associated with a good. The unique signature can be, for example, a random structure or pattern unique to the particular good. The imaging system is configured to process the image to identify at least one metric that distinguishes the unique signature from unique signatures of other goods. The database is configured to receive information related to the good and its unique signature from the imaging system, and to store the information therein. The authentication center is configured to analyze the field image with respect to the information stored in the database to determine whether the unique signature in the field image is a match to the captured image stored in the database.

Abstract: A system for processing sensor information in a wireless communications device, comprising a sensor processing module for execution by the microprocessor, the sensor processing module being configured to: receive a signal representing the state of the sensor; and process the received signal to determine whether there is a change in a state of the device; wherein processing the received signal includes implementation of a hysteresis.