A method for simultaneously optimizing a digital image taken in or through a scattering medium and obtaining information regarding optical properties of the scattering medium is provided. Data of the digital image is received by a computer. The digital image is evaluated according to an objective image quality metric and a resulting image quality value is compared to a previously stored image quality value for the image.
Systems and methods for predicting the outcome of chaotic systems are described. An example of a prediction system disclosed herein includes, in general, functional elements to vary the initial conditions of a chaotic system and calculate a plurality of possible trajectories for the chaotic system. The prediction system also includes calculating a Lyapunov exponent for each of the plurality of possible trajectories and selecting the trajectory with the smallest Lyapunov exponent as the most likely trajectory to occur.
Systems and methods for calculating the Lyapunov exponent of a chaotic system are described. In one particular embodiment, a Lyapunov exponent calculating method includes obtaining a value indicative of a condition of a chaotic system and assigning the value to first and second precision levels, the second precision level having a higher level of precision than the first precision level. The method also includes iterating the chaotic system over time and comparing the value at the first precision level with the value at the second precision level.
A method, apparatus and program product are provided to recognize malware in a computing environment having at least one computer. A sample is received. An automatic determination is made by the at least one computer to determine if the sample is malware using static analysis methods. If the static analysis methods determine the sample is malware, dynamic analysis methods are used by the at least one computer to automatically determine if the sample is malware.
In one embodiment, the present invention provides a method for forming battery tray for holding cylindrical cell batteries. The method includes forming a battery try including a base support having a generally flat bottom surface and multiple adjacent cylindrical cavities are formed within the base support, using a circle packing algorithm to form the cylindrical cavities. The adjacent cavities each have at least some interstitial cylindrical riser wall structures formed with a predetermined height to hold the cylindrical cell batteries.
A system of imaging and non-imaging sensors are used in combination with a graphical user interface (GUI) system on a vehicle to detect items of interest. In particular, a GUI has been developed that seamlessly integrates high magnification, Narrow Field of View (NFOV) imaging sensors and Wide Field of View (WFOV) imaging sensors. The GUI is capable of displaying both WFOV and NFOV images, gimbal controls, and allow NFOV sensor to be pointed to any location within the wide field of view efficiently by a single touch of a touch screen display.
A multi-sensor signal fusion apparatus is provided for automatic modulation classification of weak unknown signals in non-cooperative communication environment with a more accurate description of the signal. The multi-sensor non-cooperative demodulation device combines a group of sensors, a signal fusion sensor, a means for signal demodulation, and a means for automatic modulation classification.