Abstract: A file system stores files in a location base on deterministic nonlinear functions using certain initial conditions of the files creation. The file is chunked and encrypted according to one of a set of encryption algorithms based on the initial conditions. Only the file name and associated initial conditions are stored; the initial location and encryption algorithm are not stored and therefore not retrievable. The file system periodically relocates the files based on one of a set of algorithms based on the initial conditions such that even if the initial location where know, the file would still be irretrievable without knowing the relation between the initial conditions and relocation algorithm. During retrieval, the system uses the stored initial conditions to identify the initial location, relocation algorithm, and encryption algorithm.

Abstract: A method of controlling a water heater is provided. The method comprises evaluating the fitness of solutions associated with a plurality of individuals in a population for a current operating environment of the water heater. Each of the plurality of individuals comprises a dominant genotype and a recessive genotype. Each genotype represents a solution for controlling the water heater. A fitness function is applied to the dominant genotype of each individual. The fitness function is based on at least one of water flow demand data and energy price data. The method further comprises storing previously encountered genotypes in the recessive genotypes of the individuals. The method further comprises selecting a solution for controlling operation of the water heater based on the fitness evaluation.

Abstract: Systems and methods for detecting changes in a physiological system are provided. A method comprises embedding time series data relating to the physiological system within a reconstructed phase space and partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a first matrix having a plurality of cells. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region. The first matrix is associated with a normal operating condition of the physiological system. The method further comprises comparing the first matrix and a second matrix based on different data to detect an anomalous condition of the physiological system.

Abstract: A method of predicting at least one future state of a system is provided. The method comprises embedding, using a phase space embedding module, time series data relating to the system within a reconstructed phase space. The phase space embedding module comprises instructions stored on a non-transitory computer-readable medium that are executable by a processor. The method further comprises predicting, using a prediction module, the at least one future state of the system based on a rate of separation of trajectories of the embedded data within the reconstructed phase space. The prediction module comprises instructions stored on the non-transitory computer-readable medium that are executable by the processor.

Abstract: One embodiment of the disclosure relates to a method of detecting a change in the state of a system. The method comprises embedding time series data relating to the system within a reconstructed phase space having a D-dimensional embedding dimension. D is greater than two. The method further comprises enclosing the reconstructed phase space in a D-dimensional bounding space and partitioning the bounding space into a plurality of regions. The method further comprises generating a matrix having a plurality of cells. The matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region.

Abstract: A method of detecting a change in the state of a system is provided. The method comprises embedding time series data relating to the system within a reconstructed phase space. The method further comprises partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a matrix having a plurality of cells. The matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region.

Abstract: Methods of analyzing solutions to a failure of a product are provided. A method comprises evaluating the fitness of solutions associated with a plurality of individuals in a population for the failure. Each of the plurality of individuals comprises a dominant genotype and a recessive genotype. Each genotype represents a solution for addressing a potential failure of the product. A fitness function is applied to the dominant genotype of each individual. The fitness function is configured to determine a confidence value for one or more of the solutions based on historical data regarding the solutions that is stored in a database. The method further comprises storing previously encountered genotypes in the recessive genotypes of the individuals and determining a proposed solution for addressing the failure of the product based on the fitness evaluation.

Abstract: Methods, systems, and computer-readable media relating to adapting existing data based on one or more new sets of data are provided. An exemplary method comprises extracting a data model from a new data set. The method further comprises determining one or more ontology assertions based on the extracted data model and modifying at least one existing ontology based on the one or more ontology assertions.

Abstract: A control system is provided. The control system comprises an electronic processor configured to control operation of at least one wind turbine. The control system further comprises at least one weather radar unit positioned proximate to the at least one wind turbine and configured to generate weather data. The electronic processor is configured to control the operation of the at least one wind turbine based on the weather data generated by the at least one weather radar unit.

Abstract: A method of analyzing an environment is provided. The method comprises evaluating, using a fitness evaluation module, the fitness of the plurality of individuals in a population. Each of the plurality of individuals comprises a dominant genotype and a recessive genotype. The fitness is evaluated by applying a fitness function to the dominant genotype of each individual. The method further comprises recombining and mutating, using the fitness evaluation module, the dominant genotype of one or more selected individuals based on the fitness evaluation. The method further comprises storing, using a change detection module, previously encountered genotypes in the recessive genotypes of the individuals. The fitness evaluation module and change detection module comprise instructions stored on a non-transitory computer-readable medium that are executable by a processor.

Abstract: A method of detecting a potential security threat on a computing system is provided. The method comprises embedding time series data relating to the computing system within a reconstructed phase space and partitioning the reconstructed phase space into a plurality of regions. The method further comprises generating a first matrix having a plurality of cells. The first matrix comprises a row and a column for each of the plurality of regions. A value stored in each cell is based on a probability that the system will transition from a first region associated with the cell to a second region associated with the cell and a rate of separation of trajectories of the embedded data within at least one of the first region and the second region. The first matrix is generated using a first set of the time series data that is associated with a normal operating condition of the computing system in which the computing system is not under attack from a security threat.

Abstract: A method of analyzing an environment is provided. The method comprises generating, using a population generation module, an initial population comprising a plurality of individuals, each individual comprising a dominant genotype and a recessive genotype. The method further comprises evaluating, using a fitness evaluation module, the fitness of each of the plurality of individuals by applying a fitness function to the dominant genotype of each individual. The method further comprises modifying, using the fitness evaluation module, the initial population of individuals based on the fitness evaluation. The method further comprises injecting, using the population generation module, one or more additional individuals into the modified population of individuals. Each of the additional individuals comprises a randomly generated dominant genotype.

Abstract: A method of controlling at least one wind turbine is provided. The method comprises predicting at least one future state related to the at least one wind turbine. The method further comprises evaluating a fitness of solutions associated with a plurality of individuals of a population for a current operating environment of the at least one wind turbine. Each individual comprising a dominant genotype and a recessive genotype. Each genotype represents a solution for controlling the at least one wind turbine. A fitness function is applied to the dominant genotype of each individual. The fitness function is based on the at least one predicted future state. The method further comprises storing previously encountered genotypes in the recessive genotypes of the individuals. The method further comprises selecting a solution for controlling operation of the at least one wind turbine based on the fitness evaluation.