Other

George Mason Intellectual Properties, Inc.

George Mason University

Medical University of South Carolina

Kenneth James Hintz

David G Grossman

Christopher James Hintz

Gregory Alan McIntyre

Earl Frederick Barrick

James Corey Wright

A calibration device receives at least a first multispectral measurement of: a first monochromatic signal taken at a first pixel location; a second multispectral measurement of a second monochromatic signal taken at a second pixel location; and a multiplicity of third multispectral measurements of a spatially distributed wide bandwidth dispersed spectrum, of a wide bandwidth signal, taken at a multiplicity of third pixel locations. The device relates known pixel values of wavelengths to pixel values of measured wavelengths. The device outputs spectrum wavelength and power calibration values for the multispectral imaging system, comprising at least a relation of: a first third pixel location to a first known wavelength; and a second third pixel location to a second known wavelength.

Imaging sensor calibration

A depth sensor receives depth data indicative of a distance from the depth sensor to a three-dimensional spatial zone. The depth data is based on an in-focus status of a projection of the three-dimensional spatial zone onto a multi-pixel sensing zone of an imaging sensor. The three-dimensional spatial zone is one of at least two distinct three-dimensional spatial zones. The multi-pixel sensing zone is one of at least two distinct multi-pixel sensing zones of the imaging sensor. Object data of an object residing in at least the three-dimensional spatial zone is received. Fused data is generated. The fused data comprises the depth data, and the object data.

Fusing measured multifocal depth data with object data

An imaging sensor produces spatiotemporal measurement sets of distinct sensing zones of the imaging sensor. A multifocal lens directs electromagnetic radiation from distinct three-dimensional spatial zones to distinct sensing zones. A focus analyzer processes the spatiotemporal measurement sets to determine a sequence of in-focus status of the distinct sensing zones independent of other distinct sensing zones. A displacement processor generates object displacement vector(s) based on a sequence of in-focus status indicative of an object moving between distinct three-dimensional spatial zones.

Motion sensor

An apparatus for detecting a dispersive object in non-dispersive clutter comprising a multi-frequency radar, a signal processor which computes the elapsed time between when each frequency is transmitted and that same frequency is received and the dispersion statistics related to the several frequencies. A dispersion analyzer produces a dispersive object discrimination value which is compared with a threshold by which a detection is declared. The apparatus also utilizes dispersion statistics to differentiate between dispersive and non-dispersive radar returns in order to reject the non-dispersive signals and pass the dispersive signals to a signal integrator which increases the signal-to-clutter ratio thereby improving the probability of detection of subsequent target detection processes.

Dispersive object detector and clutter reduction device

A depth sensor comprises at least one imaging sensor, at least one multifocal lens, and a focus analyzer. The depth sensor analyzes the in-focus status of electromagnetic radiation, directed by the multifocal lens(es) onto sensing zone(s) of the imaging sensor(s) from spatial zone(s) in a measurement field, to detect the presence of object(s) in the spatial zone(s).

Depth sensor

Embodiments include an apparatus comprising a frequency selective electromagnetic receiver and a signal analyzing module. The frequency selective electromagnetic receiver is configured to receive a reradiating electromagnetic signal resulting from a cavity induced modulation phenomenon occurring within cavit(ies). The signal analyzing module is configured to: determine a power spectral density of the reradiating electromagnetic signal. Frequencies are observed at which the amplitude modulation of the power spectral density peaks. A cavity length is determined employing the frequencies of the power spectral density peaks.

Cavity length determination apparatus

An apparatus may detect an anomaly in a cavity in an object. The apparatus may comprise an array, a signal processor, and a threshold excedent determination processor. The array may receive an intensity reduced transmission beam of energy resulting from an irradiating beam of energy passing through an object having a cavity and a cavity wall. The cavity may be defined by the cavity wall. The array may have sensors. The signal processor may receive a measurement of the intensity reduced transmission beam; determine a thickness of the cavity wall; estimate an absorption rate of cavity wall; compute a predicted measurement employing the thickness and absorption rate; and calculate a cavity anomaly statistic for a cavity anomaly employing the predicted measurement and the measurement. The threshold excedent determination processor may generate a notification when the cavity anomaly statistic exceeds a threshold.

Cavity anomaly detection device

A buoyant force pump is disclosed. A material which is buoyant relative to a non-solid material is used to cause a movable surface to move thereby causing the non-solid material to be pumped. The device can be used to move non-solid material in hazardous conditions or materials in biological reactors. The pumps can be used for mixing ingredients external to the pump by repeatedly moving materials into and out of the pump. The pumps can also be used to gently move materials from an inlet to an outlet.

Buoyant force pump

An apparatus for measuring the orientation of the longitudinal axis of a cavity comprising a signal receiver, a signal processor and analyzer and a cavity axis orientation analyzer. The signal receiver receives a reflected signal resulting from an interaction of multi-frequency irradiating signal(s) with at least one cavity. The irradiating signal may include an electromagnetic or acoustic signal above a cavity dependent cutoff frequency with a randomized or deterministic spectral component. The signal analyzer computes a power spectral density of the reflected signal. The local maxima of the power spectral density are identified and used to determine the cavity longitudinal axis orientation. The cavity may be the bore of a weapon.

Cavity axis orientation measurement device

A buoyant force pump and surge apparatus is disclosed. A material which is buoyant relative to a non-solid material is used to cause a movable surface to move thereby causing the non-solid material to be pumped in surges. One use of the device is to create water surges in aquariums through the use of conventional low pressure, low volume air pumps and without the need for mechanical pumps or control electronics. A second use of the device is to move non-solid material in hazardous conditions.

Housing directed buoyant force pump

An apparatus for detecting a cavity comprising a signal receiver, a signal analyzer and a threshold excedent determination processor. The signal receiver receives a reflected signal resulting from an interaction of multi-frequency irradiating signal(s) with at least one cavity. The irradiating signal may include an electromagnetic or acoustic signal above a cavity dependent cutoff frequency with a randomized spectral component. The signal analyzer computes cavity detecting statistic(s) of the reflected signal. The cavity detecting statistic(s) may include an autocorrelation function. The autocorrelation function may be a Fourier transform of the power spectral density of the reflected signal. The threshold excedent determination processor generates a notification when cavity detecting statistic(s) exceed a threshold. The threshold may include a multi-variable function. The cavity may be the bore of a weapon. The apparatus may be configured to determine the bearing from the cavity to the apparatus.

Cavity detection

A pattern recognizer includes a sequential data extractor, a data pairer, and a recognition engine. The sequential data extractor extracts a region of measured data obtained from a measuring device. The measuring device is preferably capable of detecting changes in impedance. The measured data should contain position information of the changes in impedance. The data pairer associates the region of measured data with a priori pattern data that contains expected positions of the changes in impedance. The recognition engine decides whether the associated region of measured data and the a priori pattern data differ within predetermined criteria, the predetermined criteria including: non-expected impedance changes; excessive dither; and missing impedance changes.

Syntactic signal recognizer and pattern recognizer

Alkalinity determination, including an alkalinity determination process and/or alkalinity determinator. An alkalinity determination process may include providing a known value of volume of an acidic fluid, forming a titration system by providing one or more additions of a known value of volume of a relatively alkaline fluid to an acidic fluid, determining a pH value and/or a temperature value for one or more additions and/or determining an alkalinity value of a system by calculating a transformation including one or more determined pH values and/or temperature values of one or more additions. An alkalinity determination process may include modeling, such that an informed determination may be made with reference to relevant and/or irrelevant factors, as well as parameters to maximize likelihood of alkalinity determination. In embodiments, an alkalinity determinator may include one or more titration cells, one or more sensors and/or one or more alkalinity value determinators.

Alkalinity determination

A sensor manager comprising: a situation information expected value network and an information instantiator. The situation information expected value network includes a probabilistic network configured to generate situation probabilities using situation data; and an expected information gain determination module configured to generate an information request using expected changes in the situation probabilities. The information instantiator is configured to generate a sensor observation request utilizing the information request and the situation data. The situation data includes at least one of the following: a goal lattice structure data; a goal lattice value; a kinematic state estimate; a non-kinematic state estimate; a search probability mass function; a sensor applicable function table; or any combination of the above. The probabilistic network includes: at least one managed evidence node; at least one unmanaged evidence node; and at least one situation evidence node.

Information request generator

An egocentric display that corresponds to a multidimensional frame of reference. The multidimensional frame of reference may include an ego center, a nadir below the ego center, and a zenith above the ego center. The egocentric display includes a center point, an inner concentric circle and an outer concentric circle. The center point represents the nadir. The inner concentric circle is centered about the center point and represents a horizon plane that is perpendicular to a zenith-nadir line that passes through the zenith, the ego center, and the nadir. The outer concentric circle that represents the zenith should have a radius larger that the inner concentric circle and should also be centered about the center point.

Growing community of inventors

Fairfax Station, VA, United States of America

Kenneth James Hintz