Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.

Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.

Abstract: Methods and apparatus for providing a comprehensive decision support system to include predictions, recommendations with consequences and optimal follow-up actions in specific situations are described. Data is obtained from multiple disparate data sources, depending on the information deemed necessary for the situation being modeled. Some embodiments perform complex systems modeling including performing massive correlative analyses of the data obtained from the multiple disparate data sources with current situational data obtained regarding the situation for which the decision support process is being utilized. The decision support system provides a prediction or predictions and a recommendation or a choice of recommendations based on the correlative analysis and/or other analyses. In some embodiments the decision support system provides possible consequences that could result from a recommendation. In other embodiments the decision support system provides a list of tasks for acting upon a recommendation.

Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.

Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.

Abstract: Methods and apparatus for monitoring remotely located objects with a system comprised of at least one master data collection unit, any number of remote sensor units, and a central data collection server are described. The master unit is configured to monitor any object, mobile or stationary, including monitoring multiple remote sensor units associated with the objects being monitored. The master unit may be in a fixed location, or attached to a mobile object. The master unit is configured for monitoring objects that enter and leave the area where it is located. The master unit may act as a parent controller for one or more child devices, wherein the child devices can be remote sensors or monitors of various measurable conditions including environmental conditions, substance identification, product identification and biometric identification. The master unit is able to discover new remote sensor units as they enter or leave the area where the master unit is located.