Abstract: Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electric vehicles.

Abstract: A method for recharging an electric vehicle includes receiving, by a control module and from the vehicle in transit along a route having a number of stops for passenger pickup, a current charge level and a current location. The stops include recharging stations for recharging the vehicle. The method includes receiving from a next stop, an anticipated stop time at the next stop for the vehicle. The method includes determining a power output to be supplied to the vehicle by a recharging station at the next stop based on the current charge level. The power output comprises an amount of power to be supplied at the next stop, the amount of power for satisfying a minimum amount of charge to enable the vehicle to arrive at a subsequent stop after the next stop. The method includes transmitting, to the recharging station at the next stop, the power output.

Abstract: In an aspect of the present disclosure, a method for analyzing the speech delivery of a user is disclosed including presenting to the user a plurality of speech delivery analysis criteria, receiving from the user a selection of at least one of the speech delivery analysis criterion, receiving, from at least one sensing device, speech data captured by the at least one sensing device during the delivery of a speech by the user, transmitting the speech data and the selected at least one speech delivery analysis criterion to an analysis engine for analysis based on the selected at least one speech delivery analysis criteria, receiving, from the analysis engine an analysis report for the speech data, the analysis report comprising an analysis of the speech data performed by the analysis engine based on the selected at least one criterion, and presenting to the user the analysis report.

Abstract: In an aspect of the present disclosure, a method for analyzing the speech delivery of a user is disclosed including presenting to the user a plurality of speech delivery analysis criteria, receiving from the user a selection of at least one of the speech delivery analysis criterion, receiving, from at least one sensing device, speech data captured by the at least one sensing device during the delivery of a speech by the user, transmitting the speech data and the selected at least one speech delivery analysis criterion to an analysis engine for analysis based on the selected at least one speech delivery analysis criteria, receiving, from the analysis engine an analysis report for the speech data, the analysis report comprising an analysis of the speech data performed by the analysis engine based on the selected at least one criterion, and presenting to the user the analysis report.

Abstract: In an aspect of the present disclosure, a method for analyzing the speech delivery of a user is disclosed including presenting to the user a plurality of speech delivery analysis criteria, receiving from the user a selection of at least one of the speech delivery analysis criterion, receiving, from at least one sensing device, speech data captured by the at least one sensing device during the delivery of a speech by the user, transmitting the speech data and the selected at least one speech delivery analysis criterion to an analysis engine for analysis based on the selected at least one speech delivery analysis criteria, receiving, from the analysis engine an analysis report for the speech data, the analysis report comprising an analysis of the speech data performed by the analysis engine based on the selected at least one criterion, and presenting to the user the analysis report.

Abstract: Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electric vehicles.

Abstract: A computer program product for recharging a number of battery electric vehicles includes computer usable program code. The computer usable program code is configured to receive, from the number of battery electric vehicles that are to recharge at a number of recharging stations, usage data. The usage data includes a current charge level, a current location, and a planned itinerary that includes a destination. The computer usable program code is configured to determine anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The computer usable program code is configured to redistribute the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

Abstract: A method for managing a user interface desktop workspace is provided. The method includes selecting applications in a desktop environment rendered in memory of a computer. The method also includes querying each of the selection applications, capturing through the querying, attributes for each of the selected applications and writing references to the selected applications and corresponding ones of the captured attributes to a workspace profile. The method further includes generating a workspace object from the workspace profile. Finally, the method includes configuring the workspace object in the desktop environment to respond to activation by loading each of the applications in the workspace profile using the corresponding ones of the captured attributes in the workspace profile.

Abstract: A method for recharging an electric vehicle includes receiving, by a control module and from the vehicle in transit along a route having a number of stops for passenger pickup, a current charge level and a current location. The stops include recharging stations for recharging the vehicle. The method includes receiving from a next stop, an anticipated stop time at the next stop for the vehicle. The method includes determining a power output to be supplied to the vehicle by a recharging station at the next stop based on the current charge level. The power output comprises an amount of power to be supplied at the next stop, the amount of power for satisfying a minimum amount of charge to enable the vehicle to arrive at a subsequent stop after the next stop. The method includes transmitting, to the recharging station at the next stop, the power output.

Abstract: Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

Abstract: Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

Abstract: Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

Abstract: Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

Abstract: Provided are techniques for smart posting with data analytics. A message is received before the message is posted to a social media service. The message is analyzed using data analytics to obtain analysis results. The obtained analysis results are compared to similar analysis results stored for at least one pre-existing message. For one or more correlations between the message and at least one pre-existing message, one or more contributing terms that have semantic meaning within a context of the social media service are determined. Based on the one or more contributing terms, one or more suggestions for improving the message are generated. The message is modified based on the one or more suggestions.

Abstract: Some example embodiments include a method for recharging a number of battery electric vehicles. The method include receiving (by a control module configured to control an electrical grid system that include a number of recharging stations that are configured to recharge the number of battery electric vehicles and from the number of battery electric vehicles) usage data that comprises a current charge level, a current location, and a planned itinerary that includes a destination. The method includes determining anticipated electrical loads in the number of sectors of the electrical grid system based on the usage data of the number of battery electric vehicles. The method also includes redistributing the electrical supply on the electrical grid system to at least one recharging station of the number of recharging stations based on the anticipated electrical loads, prior to actual usage defined by the usage data by the number of battery electrical vehicles.

Abstract: Counterfeit electronic devices are detected by comparing a thermal profile of the counterfeit device and an authentic device under predetermined operating conditions. A thermal profile for an authentic electronic device is recorded executing an instruction set over time, such as with static infrared images at predetermined times, video infrared images over a predetermined time period or temperature measurements made at predetermined locations of the electronic device. In one embodiment, a thermal profile indicates that a processor device has been used in the place of a field programmable grid array device. In an alternative embodiment, an electromagnetic profile is detected instead of or in addition to the thermal profile. The electromagnetic profile of an authentic device is used to create an expected profile for comparison with an electromagnetic profile of electronic devices under test.

Abstract: Counterfeit electronic devices are detected by comparing a thermal profile of the counterfeit device and an authentic device under predetermined operating conditions. A thermal profile for an authentic electronic device is recorded executing an instruction set over time, such as with static infrared images at predetermined times, video infrared images over a predetermined time period or temperature measurements made at predetermined locations of the electronic device. In one embodiment, a thermal profile indicates that a processor device has been used in the place of a field programmable grid array device. In an alternative embodiment, an electromagnetic profile is detected instead of or in addition to the thermal profile. The electromagnetic profile of an authentic device is used to create an expected profile for comparison with an electromagnetic profile of electronic devices under test.

Abstract: A method for managing a user interface desktop workspace is provided. The method includes selecting applications in a desktop environment rendered in memory of a computer. The method also includes querying each of the selection applications, capturing through the querying, attributes for each of the selected applications and writing references to the selected applications and corresponding ones of the captured attributes to a workspace profile. The method further includes generating a workspace object from the workspace profile. Finally, the method includes configuring the workspace object in the desktop environment to respond to activation by loading each of the applications in the workspace profile using the corresponding ones of the captured attributes in the workspace profile.

Abstract: Counterfeit electronic devices are detected by comparing a thermal profile of the counterfeit device and an authentic device under predetermined operating conditions. A thermal profile for an authentic electronic device is recorded executing an instruction set over time, such as with static infrared images at predetermined times, video infrared images over a predetermined time period or temperature measurements made at predetermined locations of the electronic device. In one embodiment, a thermal profile indicates that a processor device has been used in the place of a field programmable grid array device. In an alternative embodiment, an electromagnetic profile is detected instead of or in addition to the thermal profile. The electromagnetic profile of an authentic device is used to create an expected profile for comparison with an electromagnetic profile of electronic devices under test.

Abstract: Counterfeit electronic devices are detected by comparing a thermal profile of the counterfeit device and an authentic device under predetermined operating conditions. A thermal profile for an authentic electronic device is recorded executing an instruction set over time, such as with static infrared images at predetermined times, video infrared images over a predetermined time period or temperature measurements made at predetermined locations of the electronic device. In one embodiment, a thermal profile indicates that a processor device has been used in the place of a field programmable grid array device. In an alternative embodiment, an electromagnetic profile is detected instead of or in addition to the thermal profile. The electromagnetic profile of an authentic device is used to create an expected profile for comparison with an electromagnetic profile of electronic devices under test.