Abstract: Systems, devices, and methods for routing data through a first and a second ad-hoc network are described. Routing information structured according to a first routing protocol associated with a plurality of nodes in the first network is received at a border node that is part of at least the first and second ad-hoc networks. Routing information structured according to a second routing protocol associated with a plurality of nodes in the second ad-hoc network is also received. The received routing information is translated from the first routing protocol to the second routing protocol, or vice versa, and disseminated to nodes in the first or second ad-hoc networks. Data packets from nodes in the first ad-hoc network are forwarded to nodes in the second ad-hoc network, or vice versa, based in part on the translated routing information.

Abstract: Systems, devices, and methods for routing data through a first and a second ad-hoc network are described. Routing information structured according to a first routing protocol associated with a plurality of nodes in the first network is received at a border node that is part of at least the first and second ad-hoc networks. Routing information structured according to a second routing protocol associated with a plurality of nodes in the second ad-hoc network is also received. The received routing information is translated from the first routing protocol to the second routing protocol, or vice versa, and disseminated to nodes in the first or second ad-hoc networks. Data packets from nodes in the first ad-hoc network are forwarded to nodes in the second ad-hoc network, or vice versa, based in part on the translated routing information.

Abstract: A system and method of operating a monitoring and response system for an actor in a daily living environment that relies upon learned models of behavior for adapting system operation. The learned model of behavior preferably includes sequential patterns organized pursuant to assigned partition values that in turn are generated based upon an evaluation of accumulated data. Based upon reference to the learned model of behavior, the system can generate more appropriate response plans based upon expected or unexpected activities, more readily recognize intended activities, recognize abandoned tasks, formulate probabilities of method choice, build probabilities of action success, anticipate and respond to actor movement within the environment, optimize response plan effectiveness, and share learned models across two or more separate system installations.

Abstract: Systems and methods for classifying natural language (NL) sentences using a combination of NL algorithms or techniques is disclosed. Each NL algorithm or technique may identify a different similarity trait between two or more sentences, and each may help compare the meaning of the sentences. By combining the various similarity factors, preferably by various weighting factors, a distance metric can be computed. The distance metric provides a measure of the overall similarity between sentences, and can be used to assign a sentences to an appropriate sentence category.

Abstract: A system and method for assessing a functional or medical ability of an actor in a environment. The method includes providing a plurality of data sources in the environment. One or more of the data sources are designated as providing information relating to a functional or medical ability. Data from the designated data sources is retrieved and forms the basis of a functional or medical ability evaluation. In one embodiment, a plurality of baseline function categories are established, with information from one or more of the data sources being assigned to at least one of the baseline function categories.

Abstract: A method and an Adaptive Knowledge Management is provided. The Adaptive Knowledge Management System is used for assisting a user with decision making by providing real-time, on-line automated recommendations for actions in a monitored vehicle troubleshooting, performance trend monitoring, health management and preemptive maintenance domain diagnostics and prognostics. The system creates a Structured Knowledge Repository, constructed from models, historical data, and heuristics for organizing a model domain knowledge. It uses a plurality of Analytical and Machine Learning tools for capturing knowledge from data sources and populating cells of the Structured Knowledge Repository. A Mixed-Initiative Planning module is used for interpreting operation goals for the monitored vehicle and utilizing the Structure Knowledge Repository for developing recommendations for user decision making.

Abstract: A system and method for assessing a functional or medical ability of an actor in a environment. The method includes providing a plurality of data sources in the environment. One or more of the data sources are designated as providing information relating to a functional or medical ability. Data from the designated data sources is retrieved and forms the basis of a functional or medical ability evaluation. In one embodiment, a plurality of baseline function categories are established, with information from one or more of the data sources being assigned to at least one of the baseline function categories.

Abstract: An automated system and method for monitoring and supporting and actor in an environment, such as a daily living environment. The system includes at least one sensor, at least one effector and a controller adapted to provide monitoring, situation assessment, response planning, and plan execution functions. In one preferred embodiment, the controller provides a layered architecture allowing multiple modules to interact and perform the desired monitoring and support functions.

Abstract: Embodiments of the present invention provide a system for automatically generating condition based activity prompts. The system comprises a controller and at least one sensor for monitoring an actor. The controller is adapted to receive sensor data from the sensor and determine whether to generate a condition based activity prompt based upon a comparison of the sensor data to predefined data. The condition based activity prompt is related to assisting the actor in performing a particular task, providing a reminder to the actor to perform a particular task, or providing a to-do list item to the actor.

Abstract: A system and method of operating a monitoring and response system for an actor in a daily living environment that relies upon learned models of behavior for adapting system operation. The learned model of behavior preferably includes sequential patterns organized pursuant to assigned partition values that in turn are generated based upon an evaluation of accumulated data. Based upon reference to the learned model of behavior, the system can generate more appropriate response plans based upon expected or unexpected activities, more readily recognize intended activities, recognize abandoned tasks, formulate probabilities of method choice, build probabilities of action success, anticipate and respond to actor movement within the environment, optimize response plan effectiveness, and share learned models across two or more separate system installations.

Abstract: A method and system for use in monitoring a search area includes the provision of object path data representative of at least one object path of one or more moving objects in the search area. Defined normal and/or abnormal object path feature models are provided based on one or more characteristics associated with normal or abnormal object paths of moving objects in the search area. The feature models may be based on a clustering process. The object path data is compared to the one or more defined normal and/or abnormal object path feature models for use in determining whether the object path is normal or abnormal.

Abstract: Systems and methods for classifying natural language (NL) sentences using a combination of NL algorithms or techniques is disclosed. Each NL algorithm or technique may identify a different similarity trait between two or more sentences, and each may help compare the meaning of the sentences. By combining the various similarity factors, preferably by various weighting factors, a distance metric can be computed. The distance metric provides a measure of the overall similarity between sentences, and can be used to assign a sentences to an appropriate sentence category.

Abstract: A method and an Adaptive Knowledge Management is provided. The Adaptive Knowledge Management System is used for assisting a user with decision making by providing real-time, on-line automated recommendations for actions in a monitored vehicle troubleshooting, performance trend monitoring, health management and preemptive maintenance domain diagnostics and prognostics. The system creates a Structured Knowledge Repository, constructed from models, historical data, and heuristics for organizing a model domain knowledge. It uses a plurality of Analytical and Machine Learning tools for capturing knowledge from data sources and populating cells of the Structured Knowledge Repository. A Mixed-Initiative Planning module is used for interpreting operation goals for the monitored vehicle and utilizing the Structure Knowledge Repository for developing recommendations for user decision making.