Abstract: An unmanned aerial vehicle (UAV) system comprises a hangar structure configurable to mount on a host platform. The hangar structure comprises electrical circuits comprising a charging circuit and a communications circuit. The UAV system further comprises a plurality of stackable UAVs. The plurality of stackable UAVs comprise respective batteries and control circuits. The plurality of stackable UAVs are configured to cooperate with the charging circuit to charge the batteries and to cooperate with the communications circuit to communicate with the control circuits while the plurality of stackable UAVs are in a stacked configuration within the hangar structure.

Abstract: A distributed sensor module system comprises a plurality of sensor modules configured to be aerially deployable from a deployment device, the deployment device including an unmanned aerial vehicle (UAV) or an aeronautically deployable unitized container, the plurality of sensor modules configured to communicate with each other. A first sensor module comprises a first sensor configured to obtain first sensor information from a first environment proximate to the first sensor, a processor coupled to the first sensor, the processor configured to process the first sensor information to obtain locally processed first sensor information, and a communication transceiver coupled to the processor, the communication transceiver configured to communicate the locally processed first sensor information to a second sensor module, the first sensor module and the second sensor module configured to be aerially deployable.

Abstract: A distributed sensor module system comprises a plurality of sensor modules configured to be aerially deployable from a deployment device, the deployment device including an unmanned aerial vehicle (UAV) or an aeronautically deployable unitized container, the plurality of sensor modules configured to communicate with each other. A first sensor module comprises a first sensor configured to obtain first sensor information from a first environment proximate to the first sensor, a processor coupled to the first sensor, the processor configured to process the first sensor information to obtain locally processed first sensor information, and a communication transceiver coupled to the processor, the communication transceiver configured to communicate the locally processed first sensor information to a second sensor module, the first sensor module and the second sensor module configured to be aerially deployable.

Abstract: A method includes receiving input that identifies one or more data sources and determining, based on the input, a machine learning problem type of a plurality of machine learning problem types supported by an automated model building (AMB) engine. The method also includes generating an input data set of the AMB engine based on application of one or more rules to the one or more data sources. The method further includes, based on the input data set and the machine learning problem type, initiating execution of the AMB engine to generate a neural network configured to model at least a portion of the input data set.

Abstract: A method includes determining a trainable model to provide to a trainer, the trainable model determined based on modification of one or more models of a plurality of models. The plurality of models is generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method also includes providing the trainable model to the trainer. The method further includes adding a trained model, output by the trainer based on the trainable model, as input to a second epoch of the genetic algorithm, the second epoch subsequent to the first epoch.

Abstract: A submersible vessel comprises a hull. The hull contains a plurality of subsystems. The subsystems comprise a sensor subsystem configured to sense potential target information regarding a potential target, a database subsystem configured to store target characterization information, a processing subsystem coupled to the sensing subsystem and to the database subsystem, and an ordnance subsystem. The processing subsystem is configured to process the potential target information according to the target characterization information to confirm the potential target as being a confirmed target. The ordnance subsystem comprises an ordnance magazine configured to store ordnance. The ordnance is deployable against the confirmed target, wherein the confirmed target is an aircraft.

Abstract: An autonomous vessel comprises a hull. The hull contains a plurality of subsystems. The subsystems comprise a sensor subsystem configured to sense potential target information regarding a potential target, a database subsystem configured to store target characterization information, a processing subsystem coupled to the sensing subsystem and to the database subsystem, and an ordnance subsystem. The processing subsystem is configured to process the potential target information according to the target characterization information to confirm the potential target as being a confirmed target. The ordnance subsystem comprises an ordnance magazine configured to store ordnance, the ordnance deliverable by an unmanned combat aerial vehicle (UCAV). The ordnance is deployable against the confirmed target.

Abstract: Embodiments of the invention provide a “tool-kit” of processing techniques which can be employed in different combinations depending on the circumstances. For example, flow speed can be found using eddy tracking techniques, or by using speed of sound measurements. Moreover, composition can be found by using speed of sound measurements and also by looking for turning points in the k-? curves, particularly in stratified multi-phase flows. Different combinations of the embodiments can therefore be put together to provide further embodiments, to meet particular flow sensing requirements, both on the surface and downhole. Once the flow speed is known, then at least in the case of a single phase flow, the flow speed can be multiplied by the interior cross-sectional area of the pipe to obtain the flow rate. The mass flow rate can then be obtained if the density of the fluid is known, once the composition has been determined.

Abstract: Systems and methods are provided for distributing security information. The systems and methods include a network having a plurality of nodes for storing a plurality of linearly integrated data records in a distributed file system, each linearly integrated data record including security information, a client installed on each node, each client configured to obtain the security information from at least one other node in the network, and a module contained within each client for delivering the obtained security information to an endpoint security application of the corresponding node.

Abstract: The present invention relates to a compound exhibiting Giant Magneto-Impedance (GMI) properties. The general chemical formula of the compound is (FeXCo100-X)100-(?+?+?)Cr?Si?B?, characterized in that ?<? and ?<?, wherein ? is preferably in the range of 2 to 4% by weight, ? is preferably in the range of 11.5% to 13% by weight, and ? is preferably in the range of 11% to 13% by weight, and X is preferably about 6% by weight. The chemical formula more preferably is (Fe6%Co94%)72.5%Cr2% Si12.5%B13%. The present invention also relates to a giant magneto-impedance (GMI) based sensing device for non-destructive contactless detection of carburization in austenitic stainless steel samples in field.

Abstract: A method and system comprises a plurality of electronically controlled distributed devices and a supervisory node. The supervisory node comprises a communications interface, a processor, and a display. The supervisory node is configured to communicate with the plurality of electronically controlled distributed devices via the communications interface.

Abstract: A system and method for generating a heuristic is provided. A heuristic is capable of identifying data patterns. The method includes: extracting a data set from multiple input sources; creating a set of unique elements used across the data set; organizing the data set into a geometric structure; grouping portions of the data in the geometric structure into a plurality sub geometric structures; determining base attributes for each sub geometric structure using the set of unique elements; identifying trends in the base attributes among the sub geometric structures; and outputting the heuristic as a combination of the base attributes and the trends.

Abstract: A method includes, based on a fitness function, selecting a subset of models from a plurality of models. The plurality of models is generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method also includes performing at least one genetic operation of the genetic algorithm with respect to at least one model of the subset to generate a trainable model and sending the trainable model to an optimization trainer. The method includes adding a trained model received from the optimization trainer as input to a second epoch of the genetic algorithm that is subsequent to the first epoch.

Abstract: A carbon monoxide combustion catalyst and a method of making the catalyst used in fluid bed catalytic cracking process. The catalyst can contain metals and other composites which promote oxidation of carbon monoxide to carbon dioxide during regeneration of spent FCC catalyst.

Abstract: The present invention relates to a compound exhibiting Giant Magneto-Impedance (GMI) properties. The general chemical formula of the compound is (FeXCo100-X)100-(?+?+?)Cr?Si?B?, characterized in that ?<? and ?<?, wherein ? is preferably in the range of 2 to 4% by weight, ? is preferably in the range of 11.5% to 13% by weight, and ? is preferably in the range of 11% to 13% by weight, and X is preferably about 6% by weight. The chemical formula more preferably is (Fe6%Co94%)72.5%Cr2% Si12.5%B13%. The present invention also relates to a giant magneto-impedance (GMI) based sensing device for non-destructive contactless detection of carburization in austenitic stainless steel samples in field.

Abstract: A system and method for generating a heuristic is provided. A heuristic is capable of identifying data patterns. The method includes: extracting a data set from multiple input sources; creating a set of unique elements used across the data set; organizing the data set into a geometric structure; grouping portions of the data in the geometric structure into a plurality sub geometric structures; determining base attributes for each sub geometric structure using the set of unique elements; identifying trends in the base attributes among the sub geometric structures; and outputting the heuristic as a combination of the base attributes and the trends.

Abstract: A system and method for creating a core cognitive fingerprint. A core cognitive fingerprint can be used to capture the evolution of a system state and potentially respond with a predetermined action if the fingerprint falls within a threshold. The method includes: identifying a set of time frames within which data is extracted; providing a plurality of pattern recognizers; processing the extracted data through the plurality of pattern recognizers to generate an initial set of elements; extracting identified relationships amongst the initial set of elements; modifying the initial set of elements to include the identified relationships to create an intermediate set of elements; comparing the intermediate set of elements against assigned values to weigh each element in the intermediate set of elements to create a final set of elements; and using the final set of elements as a cognitive fingerprint.

Abstract: System and method for distributed computing. Each of multiple server computer systems may include one or more microservers, a network interface, and a network switch, coupled to the one or more microservers and the network interface, the network switch configured to switchably connect any of the microservers to a network via the network interface. Each microserver may be configurable to implement a respective server based on a computer image file, including a pre-execution environment (PXE) boot image. A management server computer may manage the server computer systems, including: providing or designating provision of computer image files to the server computer systems. Each server computer system may receive a computer image file from the management server computer or a designated computer image file store, implement a PXE boot image on a microserver accordingly, connect to one or more client computers over the network, and provide computer services to the client computers.

Abstract: The present invention relates to a gasohol fuel composition that prevents corrosion of the metallurgies involved in fuel storage tanks, vehicle fuel tanks, fuel distribution systems, and transportation systems. The novel gasohol fuel composition comprises of a major portion of an alcohol blended gasoline fuel and a minor portion of a corrosion inhibitor formulation, wherein the corrosion inhibitor formulation comprises of (i) a reaction product of (a) a monosaturated fatty acid; and (b) an azomethine compound derived from a condensation reaction between a carbonyl compound and an amine compound; (ii) a fatty acid oil or ester selected from a group comprising of castor oil, palm oil, soyabean oil, and methyl soya ester; (iii) a dispersing agent, the dispersing agent being a sulfonate compound; and (iv) a viscosity reducing agent selected from a group comprising of ethanol, isopropanol, and propargyl alcohol.

Abstract: System and method for zero client communications. A zero client device includes a housing, and in the housing, a transcoding processing unit (transcoder) and a communications processing unit coupled to the transcoder. The transcoder is configured to receive input data from human interface device(s), encode the input data, and provide the encoded input data to the communications processing unit for transmission over a network to a server. The communications processing unit is configured to receive the encoded input data from the transcoder, transmit the encoded input data over the network to the server, receive output data from the server, and send the output data to the transcoder. The transcoder is further configured to receive the output data from the communications processing unit, decode the output data, and send the decoded output data to at least one of the human interface devices.