Abstract: Automated driving systems intended for use in a vehicle can be simulated and validated using automatically generated simulation scenarios. A large number of simulation scenarios can be generated by augmenting a plurality of recorded scenarios with one or more extracted data streams. The extracted data streams can correspond to objects such as other vehicles, pedestrians, cyclists, or other obstacles or barriers. The extracted data streams can be generated automatically by identifying similar recorded scenarios and isolating differences between the similar recorded scenarios.

Abstract: Automated driving systems intended for use in a vehicle can be simulated and validated using automatically generated simulation scenarios. A large number of simulation scenarios can be generated by augmenting a plurality of recorded scenarios with one or more extracted data streams. The extracted data streams can correspond to objects such as other vehicles, pedestrians, cyclists, or other obstacles or barriers. The extracted data streams can be generated automatically by identifying similar recorded scenarios and isolating differences between the similar recorded scenarios.

Abstract: One or more scenario parameters can be determined. One or more performance metrics can be determined. A vehicle configuration associated with an autonomously operating vehicle can be determined. The autonomously operating vehicle can be simulated in each of one or more scenarios for each of the one or more scenario parameters, each scenario including the determined one or more scenario parameters, wherein at least one of the one or more scenario parameters for each scenario is different from scenario parameters simulated in other scenarios. For each simulated scenario, the one or more performance metrics associated with the simulated scenario can be determined.

Abstract: A first vehicle comprising one or more sensors configured to sense one or more characteristics of surroundings of the first vehicle, one or more cameras configured to capture images of the surroundings of the first vehicle, and one or more processors coupled to the one or more sensors and the one or more cameras. The one or more processors are configured to identify a second vehicle as a distressed vehicle using outputs from at least one of the one or more sensors and the one or more cameras, determine one or more trouble items associated with the distressed vehicle, and in response to determining the one or more trouble items, perform a set of one or more actions to assist the distressed vehicle based on the determined one or more trouble items.

Abstract: A system for clustering a plurality of documents having input and output space data is disclosed that uses both input and output space criteria. The system can aggregate documents into clusters based on input and/or output space similarity measures, and then refine the clusters based on further input and/or output space similarity measures. Aggregation of documents into clusters can include forming a hierarchical tree based on the input and/or output space similarity measures where the hierarchical tree has a root node, branching into intermediate nodes, and branching into leaf nodes covering individual documents, where the hierarchical tree includes a leaf node for each document of the plurality of documents. The system can include forming a forest of sub-trees of the hierarchical tree based on cluster criteria. Textual and numeric similarity measures can be used depending on the type and distribution of data in the input and output spaces.

Abstract: A method of clustering a plurality of documents having input and output space data is disclosed that uses both input and output space criteria. The method can include aggregating documents into clusters based on input and/or output space similarity measures, and then refining the clusters based on further input and/or output space similarity measures. Aggregating the documents into clusters can include forming a hierarchical tree based on the input and/or output space similarity measures where the hierarchical tree has a root node, branching into intermediate nodes, and branching into leaf nodes covering individual documents, where the hierarchical tree includes a leaf node for each document of the plurality of documents. The method can then include forming a forest of sub-trees of the hierarchical tree based on cluster criteria. Textual and numeric similarity measures can be used depending on the type and distribution of data in the input and output spaces.

Abstract: A method of clustering a plurality of documents having input and output space data is disclosed that uses both input and output space criteria. The method can include aggregating documents into clusters based on input and/or output space similarity measures, and then refining the clusters based on further input and/or output space similarity measures. Aggregating the documents into clusters can include forming a hierarchical tree based on the input and/or output space similarity measures where the hierarchical tree has a root node, branching into intermediate nodes, and branching into leaf nodes covering individual documents, where the hierarchical tree includes a leaf node for each document of the plurality of documents. The method can then include forming a forest of sub-trees of the hierarchical tree based on cluster criteria. Textual and numeric similarity measures can be used depending on the type and distribution of data in the input and output spaces.

Abstract: A real-time and privacy-preserving method for delivering personalized information to a user within a specific geographical location is provided. The method comprises the steps of: storing information specific to a user in a database maintained by a centralized brokerage service; transmitting a user initiated request to the centralized brokerage service to provide a listing of products and services offered by retailers or third parties located in the approximate current geographical vicinity of the user; utilizing the stored information of the user to generate a personalized listing of products and services offered within the approximate current geographical vicinity of the user; and sending the generated personalized listing to the user.

Abstract: A system for clustering a plurality of documents having input and output space data is disclosed that uses both input and output space criteria. The system can aggregate documents into clusters based on input and/or output space similarity measures, and then refine the clusters based on further input and/or output space similarity measures. Aggregation of documents into clusters can include forming a hierarchical tree based on the input and/or output space similarity measures where the hierarchical tree has a root node, branching into intermediate nodes, and branching into leaf nodes covering individual documents, where the hierarchical tree includes a leaf node for each document of the plurality of documents. The system can include forming a forest of sub-trees of the hierarchical tree based on cluster criteria. Textual and numeric similarity measures can be used depending on the type and distribution of data in the input and output spaces.

Abstract: In a distributed caching and scheduling method for a shared nothing computing framework, the framework includes an aggregator node and multiple computing nodes with local processor, storage unit and memory. The method includes separating a dataset into multiple data segments; distributing the data segments across the local storage units; and for each computing node, copying the data segment from the storage unit to the memory; processing the data segment to compute a partial result; and sending the partial result to the aggregator node. The method includes determining the data segment stored in local memory of computing nodes; and coordinating additional computing jobs based on the determination of the data segment stored in local memory. Coordinating can include scheduling new computing jobs using the data segment already stored in local memory, or to maximize the use of the data segments already stored in local memories.

Abstract: An exercise monitoring method and system in one embodiment includes a communications network, a wearable transducer configured to generate physiologic data associated with movement of a wearer, and to form a communication link with the communications network, a system memory in which command instructions are stored, a user interface operably connected to the computer, and a system processor configured to execute the command instructions to receive the generated physiologic data, analyze the received physiologic data with a multilayer perceptron/support vector machine/hidden Markov (MSH) model, model the analyzed physiologic data, and generate feedback based on a comparison of the model and a stored exercise object.

Abstract: A medical sleep disorder arrangement integrates into current diagnosis and treatment procedures to enable a health care professional to diagnose and treat a plurality of subjects suffering from insomnia. The arrangement may include both environmental sensors and body-worn sensors that measure the environmental conditions and the condition of the individual patient. The data may be collected and processed to measure clinically relevant attributes of sleep quality automatically. These automatically determined measures, along with the original sensor data, may be aggregated and shared remotely with the health care professional. A communication apparatus enables the healthcare professional to remotely communicate with and further assess the patient and subsequently administer the treatment. Thus, a more accurate diagnosis and more effective treatment is provided while reducing the required clinician time per patient for treatment delivery.

Abstract: A medical sleep disorder arrangement integrates into current diagnosis and treatment procedures to enable a health care professional to diagnose and treat a plurality of subjects suffering from insomnia. The arrangement may include both environmental sensors and body-worn sensors that measure the environmental conditions and the condition of the individual patient. The data may be collected and processed to measure clinically relevant attributes of sleep quality automatically. These automatically determined measures, along with the original sensor data, may be aggregated and shared remotely with the health care professional. A communication apparatus enables the healthcare professional to remotely communicate with and further assess the patient and subsequently administer the treatment. Thus, a more accurate diagnosis and more effective treatment is provided while reducing the required clinician time per patient for treatment delivery.

Abstract: An exercise monitoring method and system in one embodiment includes a communications network, a wearable transducer configured to generate physiologic data associated with movement of a wearer, and to form a communication link with the communications network, a system memory in which command instructions are stored, a user interface operably connected to the computer, and a system processor configured to execute the command instructions to receive the generated physiologic data, analyze the received physiologic data with a multilayer perceptron/support vector machine/hidden Markov (MSH) model, model the analyzed physiologic data, and generate feedback based on a comparison of the model and a stored exercise object.