Abstract: An optical integration circuit includes a semiconductor optical amplifier (SOA), a readout mechanism coupled to the SOA, and an optical filter coupled to an output of the SOA. The SOA has a decaying response function and an input for receiving an optical input signal having a first wavelength. The SOA is configured to output an optical signal representing a temporal integration of the optical input signal. The readout mechanism provides an optical readout signal having a second wavelength to the SOA for measuring a state of the SOA. The optical filter is configured to receive the signal representing the temporal integration of the optical input signal and block optical signals having the first wavelength.

Abstract: An optical integration circuit includes a semiconductor optical amplifier (SOA), a readout mechanism coupled to the SOA, and an optical filter coupled to an output of the SOA. The SOA has a decaying response function and an input for receiving an optical input signal having a first wavelength. The SOA is configured to output an optical signal representing a temporal integration of the optical input signal. The readout mechanism provides an optical readout signal having a second wavelength to the SOA for measuring a state of the SOA. The optical filter is configured to receive the signal representing the temporal integration of the optical input signal and block optical signals having the first wavelength.

Abstract: An optical system includes an optical integrator, a readout mechanism, and an optical thresholder. The optical integrator is configured to perform temporal integration of an optical input signal having a first wavelength received at an input. The readout mechanism is coupled to the optical integrator and provides optical signals having a second wavelength to the optical integrator for measuring a state of the optical integrator. The optical thresholder is coupled to an output of the optical integrator and is configured to receive a signal representing a temporal integration of the optical input signal from the optical integrator and produce an optical signal identifying if an amplitude of the signal representing the temporal integration of the optical input signal is above or below a threshold value.

Abstract: Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The receptor array may include one or more receptors. Each receptor may have multiple sub-receptors to manage different types of information or distinct data ranges. Furthermore, the receptor array may include regions of different resolution, such as a fovea, a peri-fovea surrounding the fovea, and a periphery surrounding the peri-fovea.

Abstract: Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The lens may filter the data based upon predetermined criteria and provide the filtered data for subsequent visual display or further processing. The lens may zoom into or away from a particular section of the address space or on other information of interest.

Abstract: Systems and methods are provided for filtering and processing network traffic data and for providing visual representations of the processed data. A lens may identify or filter source and destination addresses in an address space, or identify and filter other network information of interest. A receptor array can be configured to process selected traffic data parameters such as IP header information. The visual representations can be used in real-time network management and to identify anomalous conditions such as distributed denial of service attacks. Image data can be subsequently processed by graphics processors to enhance or identify features in the images. The lens and receptor array can be used alone or together. The receptor array may be configured as a foveated array having regions of different resolution. A saccade controller may also be included for controlling operation of the lens and the receptor array.

Abstract: The present invention is a node for a network that combines a Hopfield and Tank type neuron, having a sigmoid type transfer function, with a nonmonotonic neuron, having a transfer function such as a parabolic transfer function, to produce a neural node with a deterministic chaotic response suitable for quickly and globally solving optimizatioin problems and avoiding local minima. The node can be included in a completely connected single layer network. The Hopfield neuron operates continuously while the nonmonotonic neuron operates periodically to prevent the network from getting stuck in a local optimum solution. The node can also be included in a local area architecture where local areas can be linked together in a hierarchy of nonmonotonic neurons.