DUNE VDTPC Raw Signal Analysis using Machine Learning [Poster]
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Curve fitting for modified paired comparisons using linearized nonlinear regression
Statistical mechanics of always usable, limited length, permutation tests for two way analysis of variance and applications in quality control
Statistical mechanics of sequential randomization tests for two way variance emphasizing most recently acquired data and applications in quality control
Statistical mechanics of sequential randomization tests for one way variance emphasizing most recently acquired data and applications in quality control
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Advantages of the large time bandwidth product of optical processing are presented. Experiments were performed to study the feasibility of the use of optical spectral analysis for detection of flaws in structural elements excited by random noise. Photographic and electronic methods of comparison of complex spectra were developed. Limitations were explored, and suggestions for further work are offered.
The diagnostic facilities of the cross power spectrum and the coherence function have been employed to enhance the identification of not only the inception of cavitation, but also its level. Two piezoelectric pressure transducers placed in the downstream chamber of a model spool valve undergoing various levels of cavitation allowed for the use of both functions - the phase angle of the complex cross spectrum and the dimensionless coherence function - to sense clearly the difference between noise levels associated with a noncavitating jet from those once cavitation inception is attained. The cavitation noise within the chamber exhibited quite a regular character in terms of the phase difference between instruments for limited cavitation. Varying cavitation levels clearly illustrated the effect of bubble size on the attendant frequency range for which there was an extremely high coherence or nearly perfect causality.
Gas tungsten arc welding is a process in which the input parameters such as current, voltage and travel speed, can be easily controlled and/or monitored. However, weld quality is not solely a function of these parameters. An adaptive method of observing weld quality is desired to improve weld quality assurance. The use of dynamic electrical properties of the welding arc as a weld quality monitor was studied. The electrical properties of the arc are characterized by the current voltage transfer function. The hardware and software necessary to collect the data at a maximum rate of 45 kHz and to allow the off-line processing of this data are tested. The optimum input current waveform is determined. Bead-on-plate welds to observe such characteristics of the weld as the fundamental frequency of the puddle are studied. Future work is planned to observe changes of the arc response with changes in joint geometry, base metal chemistry, and shielding gas composition are discussed.
Many space station processes are highly complex systems subject to sudden, major transients. In any complex process control system, a critical aspect of the human/machine interface is the analysis and display of process information. Human operators can be overwhelmed by large clusters of alarms that inhibit their ability to diagnose and respond to a disturbance. Using artificial intelligence techniques and a knowledge base approach to this problem, the power of the computer can be used to filter and analyze plant sensor data. This will provide operators with a better description of the process state. Once a process state is recognized, automatic action could be initiated and proper system response monitored.
The analysis of partially polarized light reflected by plant canopies is presented. Linear Least-Squares Method is developed, followed by the method based on a nonlinear cost function.
This work presents results from the analysis of the reflectivity data from the MOLA investigation. We will discuss calculation of the surface albedo using the MGS TES 9 micron opacity. We will also overview reflectivity data collected to date. Additional information is contained in the original extended abstract.
Physicians have used the stethoscope to listen to heart sounds for over 150 years. During this time the stethoscope has remained nearly unchanged. While the device is inexpensive, simple and easy to use, it has shortcomings as a diagnostic tool. It is dependent on human hearing to detect the complex sounds made by the heart, and human memory to analyze them. There also has been a significant decline in the use of stethoscope, at least in part because of the availability of technologies such as the echocardiogram, which can provide imaging and blood flow through the heart chambers. However, echocardiography can be complex, costly and time consuming and requires the need for a specialist, all of which delay the diagnosis and increase the cost of patient evaluation. Even with the availability of echocardiogram devices such as the handheld pocket ultrasound, diagnosing heart problems can still be difficult. The Infrascope is a new device that resembles a traditional stethoscope and is simple to use. In addition, the Infrascope offers greater sensitivity and a wider range of frequencies heard by the human ear, <20Hz than a traditional stethoscope can detect. Through automated analysis of the full spectrum of heart sounds, it has the potential to improve diagnostic accuracy while reducing the need for referrals, allowing primary care physicians to practice better medicine at the bedside.
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