Abstract: A method of performing a notification event at a headphone device includes receiving, at the headphone device, a wireless notification signal. The wireless notification signal is received from a transmitting device including a camera sensor, a display and a touchscreen interface. The headphone device is selected to receive the wireless notification signal in response to a touchscreen event occurring at the transmitting device. An image including a representation of the headphone device is composed by the camera sensor and is presented on the display. The touchscreen event includes receiving a touch input via the touchscreen interface. The method further includes determining the notification event to be performed at the headphone device by decoding the wireless notification signal. The method further includes performing the notification event indicated by the wireless notification signal at the headphone device in response to receiving the wireless notification signal.

Abstract: A system for automatically generating an athletic training schedule includes a wearable device having one or more sensors for determining a quantity of athletic training performed by a user wearing the wearable device and an athletic performance of the user. A processor is configured to receive the quantity of athletic training performed and the athletic performance data from the wearable device, and to estimate a relationship between the quantity of athletic training performed and the athletic performance. A selection of a competitive target is received. A performance level of the selected competitive target is estimated. A minimum level of training needed to meet or exceed the estimated performance level is determined based on the estimated relationship between the quantity of athletic training performed and the athletic performance. The athletic training schedule is automatically generated based on the determined minimum level of training.

Abstract: Various mechanisms presented in this disclosure provide for dynamically adjusting the exhibition of subtitles. In one example, check-points are introduced into the subtitle file format that, once achieved by a multimedia player, provoke the rescheduling of the moment in which the texts contained in the subtitle file will be exhibited.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: A infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.

Abstract: A pollution source detection system, includes an automated vehicle including a position sensor that detects a geographic position of the automated vehicle and at least one pollution detection sensor that measures a concentration of pollution at the automated vehicle. The pollution source detection system includes a back-end system. The back-end system includes a network interface that receives the geographic position and the concentration of the pollution from the automated vehicle. The back-end system includes a database that stores the geographic position and the concentration of the pollution received via the network interface. The back-end system includes a processor that measures a gradient of the concentration of the pollution and controls a movement of the automated vehicle based on the gradient to guide the automated vehicle toward a source of the pollution.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: Various mechanisms presented in this disclosure provide for dynamically adjusting the exhibition of subtitles. In one example, check-points are introduced into the subtitle file format that, once achieved by a multimedia player, provoke the rescheduling of the moment in which the texts contained in the subtitle file will be exhibited.

Abstract: A pollution source detection system includes an automated vehicle including a position sensor that detects a geographic position of the automated vehicle and at least one pollution detection sensor that measures a concentration of pollution at the automated vehicle. The pollution source detection system includes a back-end system. The back-end system includes a network interface that receives the geographic position and the concentration of the pollution from the automated vehicle. The back-end system includes a database that stores the geographic position and the concentration of the pollution received via the network interface. The back-end system includes a processor that measures a gradient of the concentration of the pollution and controls a movement of the automated vehicle based on the gradient to guide the automated vehicle toward a source of the pollution.

Abstract: A computer storage management system includes a memory storing a process; a processor executing the process; and an operating system (OS). The OS includes a filesystem configured to receive a plurality of requests from the process to access data stored on the memory; and a filesystem event handler configured to receive the requests in a sequence determined by an order in which instructions associated with the requests occur within the process, store the sequence of requests without accessing the memory, and execute the sequence of requests.

Abstract: Various mechanisms presented in this disclosure provide for dynamically adjusting the exhibition of subtitles. In one example, check-points are introduced into the subtitle file format that, once achieved by a multimedia player, provoke the rescheduling of the moment in which the texts contained in the subtitle file will be exhibited.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: Aggregating and transforming data, and performing analytics thereupon, for application-specific optimization based on multiple data sources. The data is preferably ingressed automatically, and may originate from various public and/or private data sources. Data transformation preferably aligns the data aggregated from the various sources, to thereby allow meaningful referencing. Complex and non-aligned data can therefore be consolidated, such that it is readily digestible by simulation (or other) software. In an embodiment, risk of flooding for a supply chain is computed from the aggregated and transformed data, using data analytics based on physical computation for flood risk assessment, allowing the supply chain to be optimized with regard to threat of flooding and/or actual flooding. In another embodiment, risk of wild fire may be assessed. Other types of risk may also be assessed.

Abstract: An emergency response system, method of responding to emergencies and a computer program product therefor. Networked provider computers are distributed over a geographical area that includes multiple regions with at least one providing computing capability to each region and each region receiving emergency response resources during emergencies from an emergency response computer. During any local emergency the area emergency response computer provides a local response and notifies other emergency response computers for other regions that are potentially affected by the emergency.

Abstract: A infrastructure sensitivity centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area, locates infrastructure, e.g. power grid infrastructure, in the area and determines weather effects on infrastructure in each grid cell. A targeted selection module iteratively identifies grid cells for refinement in response to the weather effects on cell infrastructure. In each iteration a refined grid is applied to each grid cell identified as containing infrastructure that may be sensitive, or vulnerable, to expected weather. The forecasting computer refines the area considered to focus on area infrastructure and sensitivities/vulnerabilities to expected weather.

Abstract: A travel routing system, method and program product therefor. A location detector detects a current location. A geographical database provides details of a given area. Selecting a destination causes a route generator to generate routes through the area from the current location. A flood simulator receives meteorological data and determines flooding along the routes. A risk-modeling unit determines the risk to travelers of using each route. Before the risk-modeling unit is deployed, it is trained off-line to model travel risks using incidents in an incident data store and simulated flooding in the vicinity of the incidents.

Abstract: An emergency response system, method of responding to emergencies and a computer program product therefor. Networked provider computers are distributed over a geographical area that includes multiple regions with at least one providing computing capability to each region and each region receiving emergency response resources during emergencies from an emergency response computer. During any local emergency the area emergency response computer provides a local response and notifies other emergency response computers for other regions that are potentially affected by the emergency.

Abstract: A populace centric weather forecast system, method of forecasting weather and a computer program product therefor. A forecasting computer applies a grid to a forecast area and provides a weather forecast for each grid cell. Area activity data sources indicate human activity in the forecast area. A dynamic selection module iteratively identifies grid cells for refinement in response to the weather forecast and to indicated/expected human activity. The dynamic selection module provides the forecasting computer with a refined grid for each identified grid cell in each iteration. The forecasting computer provides a refined weather forecast in each iteration.