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. 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. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

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. 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. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

Abstract: Methods and systems for verifying authenticity of a physical object and/or for verifying possession of the object by an individual are described. In one embodiment, the object is registered with a remote processing system. Data representing at least one characteristic of the object is obtained and stored in the remote system and the identity of the individual or entity possessing the object is authenticated. After authenticating the individual, an identifier is collocated (or an existing mechanism is activated or modified to replicate the identifier) with the object, where the identifier uniquely identifies the object and the individual possessing the object. The object and the identity of the individual possessing the object can be authenticated at a future time by sensing the collocated identifier and sending the sensed identifier to the remote system. The remote system can send instructions to an entity wishing to authenticate the object and its association with the individual possessing the object.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

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. 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. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

Abstract: Methods and apparatus for monitoring remotely located objects with a system including at least one master data collection unit, 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 monitored objects. 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 an area. The master unit may act as a parent controller for one or more child devices including remote sensors or monitors of measurable conditions including environmental conditions, substance identification, product identification, and/or biometric identification. The master unit may discover remote sensor units as they enter or leave the area where the master unit is located. The master unit can be remotely reprogrammed such as with authenticated instructions.

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. 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. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

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. 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 analyzes. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

Abstract: A method and a system for managing a data object so as to comply with predetermined conditions for usage of the data object. To control the usage of the data object, a set of control data, defining usages of the data object which comply with the predetermined conditions, is created for the data object. The data object is concatenated with the user set of control data, encrypted and transferred to the user. When the user wants to use the data object, a special user program checks whether the usage complies with the control data. If so, the usage is enabled. Otherwise it is disabled.

Abstract: A method and a system for managing a data object so as to comply with predetermined conditions for usage of the data object. To control the usage of the data object, a set of control data, defining uses of the data object, which comply with the predetermined conditions, is created for the data object. The data object is concatenated with the user set of control data, encrypted and transferred to the user. When the user wants to use the data object, a special user program checks whether the usage complies with the control data. If so, the usage is enabled. Otherwise it is disabled.

Abstract: A method and a system for managing a data object so as to comply with predetermined conditions for usage of the data object. To control the usage of the data object, a set of control data, defining uses of the data object, which comply with the predetermined conditions, is created for the data object. The data object is concatenated with the user set of control data, encrypted and transferred to the user. When the user wants to use the data object, a special user program checks whether the usage complies with the control data. If so, the usage is enabled. Otherwise it is disabled.

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. 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. Also described are methods and apparatus for developing application specific decision support models. The decision support model development process may include identifying multiple disparate data sources for retrieval of related information, selection of classification variables to be retrieved from the data sources, assignment of weights to each classification variable, selecting and/or defining rules, and selecting and/or defining analysis functions.

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: A system and method for managing the use and access of digital data objects are provided. Control rights associated with a digital data object activate an external control object and an intercept application to intercept and monitor communications between a hosting application and a document server application associated with the creation of the digital data object. These intercepting and monitoring functions are performed without affecting or changing the hosting application or the document server application. The external control object activates an intercept application which mimics the functions of the document server application and performs user actions on the digital data object as authorized by the external control object according to the control rights associated with the digital object. By intercepting and monitoring user actions on a digital data object, the invention can control access and use of the digital data object.

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.