Battelle Memorial Institute

Don Simone Daly

Kristin H Jarman

Karen L Wahl

Kevin K Anderson

Richard A Pappas

Paul D Whitney

James L Buelt

Thomas A Ferryman

Scott K Cooley

Kayte M Judd

Walter C Weimer

A fluid level monitoring systemincludes an ultrasonic interrogation deviceacoustically coupled to a sidewallof containerand produces ultrasound that travels through the liquidalong a transverse pathand an inclined path. The liquid level is determined by calculating the times-of-flight for the received return signals, where the return signal along the inclined pathreflects from the intersectionof the liquid leveland a sidewall. The devicecan be a multi-element transducer having a plurality of transducer elements at different angular orientations in a common housing.

Ultrasonic fill level device and method

According to the present invention, a conversion or representation of categorical data was created that allows a significant number of exploratory multivariate analysis methods to be brought to bear on categorical data. Whereas previously, each response to a question might have been modeled as an outcome from a multinomial probability distribution; according to the present invention each response is represented as an actual discrete probability distribution with all its mass in one cell. With this interpretation or conversion, the vector of measurements for each individual can be viewed as a member of the linear space that includes vectors of probability distributions.

Method for generating analyses of categorical data

Embodiments of the present invention provide methods of identifying a feature in an indexed dataset. Such embodiments encompass selecting an initial subset of indices, the initial subset of indices being encompassed by an initial window-of-interest and comprising at least one beginning index and at least one ending index; computing an intensity weighted measure of dispersion for the subset of indices using a subset of responses corresponding to the subset of indices; and comparing the intensity weighted measure of dispersion to a dispersion critical value determined from an expected value of the intensity weighted measure of dispersion under a null hypothesis of no transient feature present. Embodiments of the present invention also encompass equipment configured to perform the methods of the present invention.

Identification of features in indexed data and equipment therefore

The present invention is a method of identifying features in indexed data, especially useful for distinguishing signal from noise in data provided as a plurality of ordered pairs. Each of the plurality of ordered pairs has an index and a response. The method has the steps of: (a) providing an index window having a first window end located on a first index and extending across a plurality of indices to a second window end; (b) selecting responses corresponding to the plurality of indices within the index window and computing a measure of dispersion of the responses; and (c) comparing the measure of dispersion to a dispersion critical value. Advantages of the present invention include minimizing signal to noise ratio, signal drift, varying baseline signal and combinations thereof.

Method of identifying features in indexed data

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Richland, WA, United States of America

Don Simone Daly