Abstract: A rocket engine configured to run on a liquid fuel and liquid hydrogen peroxide is started by impinging high pressure streams of a fuel and liquid H2O2 into a combustion chamber under pressure and temperature conditions sufficient to decompose the liquid H2O2 into hot water stream and oxidizer and achieve ignition.

Abstract: Disclosed is a method for initiating startup of a rocket engine configured to run on a liquid fuel and liquid hydrogen peroxide, including the steps of: initially decomposing the liquid hydrogen peroxide by passing the liquid hydrogen peroxide through a catalyst bed; passing decomposition products from the catalyst bed to a reaction chamber of the rocket engine and mixing the decomposition products with the liquid fuel to initiate detonation. Once detonation is initiated, the liquid H2O2 and liquid fuel are passed directly to a reaction chamber of the rocket, bypassing the catalyst bed. A rocket system includes a rocket engine having an initial ignition circuit having a catalyst bed sized to support decomposition of liquid H2O2 for initial reaction with the liquid fuel. The rocket engine, upon initial ignition, is configured to run on liquid fuel and liquid H2O2 without first passing the liquid H2O2 through the catalyst bed.

Abstract: Methods and systems for event prediction. The system includes at least one connector configured to gather at least partially incomplete data from at least one data source. The gathered data may be communicated to a model definition module that converts at least a subset of the gathered data into a prediction model in accordance with a received definition. A prediction module may receive a prediction query and, in response, supply an event prediction based on the prediction model.

Abstract: A system for event prediction is configured to ingest at least partially incomplete unstructured data from at least one data source, convert at least a subset of the ingested data into a prediction model in accordance with a received model definition, receive a prediction query, and in response, supply an event prediction based on the prediction model. In some embodiments, ingesting the data involves transforming the unstructured data into a universal structured format in which the data is represented as key-value pairs each comprising a key tuple and an associated value, the key tuple specifying an operation and at least one identifier; the prediction query includes a key tuple specifying an operation and at least one identifier; and the event prediction generated with the prediction model includes a value associated with the key tuple that is missing from the transformed data.

Abstract: Methods and systems for event prediction. The system includes at least one connector configured to gather at least partially incomplete data from at least one data source. The gathered data may be communicated to a model definition module that converts at least a subset of the gathered data into a prediction model in accordance with a received definition. A prediction module may receive a prediction query and, in response, supply an event prediction based on the prediction model.

Abstract: A system includes at least one connector configured to gather at least partially incomplete data from at least one data source. The gathered data is communicated to a model definition module that converts at least a subset of the gathered data into a prediction model in accordance with a received definition. A prediction module receives a prediction query and, in response, supplies an event prediction based on the prediction model.

Abstract: Methods and apparatus for predicting unknown values given a data set of known values. A prediction engine ingests a variety of data sets. Once the dataset has been ingested, requests for predictions may be presented to the prediction engine. The engine responds with a prediction as well as a confidence score based on the ingested information using a variety of techniques. Some of these techniques identify witness values in the ingested data that are similar to the requested prediction, other techniques compute witness values from ingested data, etc. These witness values are aggregated to yield an answer and a confidence level in a way that permits the user to review the underlying witness values.

Abstract: Systems and methods for tracking at least one entity. Systems according to various embodiments may include an interface for at least receiving training data representing movements of a plurality of training entities and a query regarding a test entity's movement, a memory, and at least one processor executing instructions stored on the memory to create a plurality of tracks, generate an index of the plurality of tracks, execute the received query, and output a feature value with respect to the test entity.

Abstract: Systems and methods for tracking at least one entity. Systems according to various embodiments may include an interface for at least receiving training data representing movements of a plurality of training entities and a query regarding a test entity's movement, a memory, and at least one processor executing instructions stored on the memory to create a plurality of tracks, generate an index of the plurality of tracks, execute the received query, and output a feature value with respect to the test entity.

Abstract: Methods and systems for event prediction. The system includes at least one connector configured to gather at least partially incomplete data from at least one data source. The gathered data may be communicated to a model definition module that converts at least a subset of the gathered data into a prediction model in accordance with a received definition. A prediction module may receive a prediction query and, in response, supply an event prediction based on the prediction model.

Abstract: Methods and apparatus for predicting unknown values given a data set of known values. A prediction engine ingests a variety of data sets. Once the dataset has been ingested, requests for predictions may be presented to the prediction engine. The engine responds with a prediction as well as a confidence score based on the ingested information using a variety of techniques. Some of these techniques identify witness values in the ingested data that are similar to the requested prediction, other techniques compute witness values from ingested data, etc. These witness values are aggregated to yield an answer and a confidence level in a way that permits the user to review the underlying witness values.