Engineering Commons^™

Towards A General Methodology For Designing Sub-Noise Measurement Procedures, Roberto Osegueda, George R. Keller, Scott A. Starks, R. Araiza, Dm. Bizyaev, Vladik Kreinovich

Departmental Technical Reports (CS)

In many practical situations, the measurement result z depends not only on the measured value x, but also on the parameters s describing the experiment's setting and on the values of some auxiliary quantities y; the dependence z=f(x,s,y) of z on x, s, and y is usually known. In the ideal case when we know the exact value of the auxiliary parameter y, we can solve the above equation and find the desired value x. In many real-life situations, we only know y with some uncertainty, and this uncertainty leads to additional uncertainty in x.

If we are trying to …

Fast Quantum Algorithms For Handling Probabilistic And Interval Uncertainty, Vladik Kreinovich, Luc Longpre

Departmental Technical Reports (CS)

No abstract provided.

On The Use Of Intervals In Scientific Computing: What Is The Best Transition From Linear To Quadratic Approximation?, Martine Ceberio, Vladik Kreinovich, Lev Ginzburg

Departmental Technical Reports (CS)

In many problems from science and engineering, the measurements are reasonably accurate, so we can use linearization (= sensitivity analysis) to describe the effect of measurement errors on the result of data processing. In many practical cases, the measurement accuracy is not so good, so, to get a good estimate of the resulting error, we need to take quadratic terms into consideration - i.e., in effect, approximate the original algorithm by a quadratic function. The problem of estimating the range of a quadratic function is NP-hard, so, in the general case, we can only hope for a good heuristic. Traditional …

From Intervals To? Towards A General Description Of Validated Uncertainty, Vladik Kreinovich, Gracaliz P. Dimuro, Antonio C. Da Rocha Costa

Departmental Technical Reports (CS)

In many real-life situations, we are interested in the physical quantities that are difficult or even impossible to measure directly. To estimate the value of such quantity y, we measure the values of auxiliary quantities x1,...,xn that are related to y by a known functional relation y=f(x1,...,xn), and we then use the results Xi of measuring xi to find the desired estimate Y=f(X1,..,Xn). Due to measurement errors, the measured values Xi are slightly different from the actual (unknown) values xi; as a result, our estimate Y is different from the actual value y=f(x1,...,xn) of the desired quantity.

When xi and …

Geometric Approach To Detecting And Locating Cracks In Thin Plates By Lamb Wave Reflection: Case Of Moving Transducer, Jose R. Mares, Roberto A. Osegueda, Nagaswaroopa Kaukuri, Vladik Kreinovich

Departmental Technical Reports (CS)

This paper portrays work for the development of a Lamb wave scanning method for the detection of defects in thin plates. The approach requires the generation of an ultrasonic A0 and S0-mode Lamb wave using an incident transmitter excited with a tone burst centered at a near non-dispersive frequency. With a fixed relative separation both transmitter and receiving transducer remotely scan a specific line section of the plate. The arrival time information coming from incident and reflected waves contain information associated with the location of reflection surfaces or potential flaws. The Hilbert-Huang transform is applied to the intrinsic mode functions …

Post-Training Support For Learning Technology, Sam Snoddy Jr., David G. Novick

Departmental Papers (CS)

To examine the effects of post-training support, we studied the introduction of new gradebook software in a public high school. The school's 108 faculty members received training on the software, and approximately half of the faculty received posttraining support for eight weeks. The study measured the faculty's current computer usage, usage of earlier versions of the software, and their perceived skill levels in using the software. The data suggest that the faculty members who received post-training support maintained and raised their skill levels, while unsupported faculty had their skill levels decline.

Assessing Effectiveness Of Personality Style In Documentation, Kenneth Sayles, David G. Novick

Departmental Papers (CS)

This paper extends previous work by other researchers that indicated that users of computers preferred a computer with a personality that was similar to theirs. We conducted a similar experiment, but looking beyond preference to see if the personality of documentation would make a difference in the user’s performance. Our data suggest did not indicate that personality match affects performance; and if such a relationship exists it is likely to be weak. We discuss the related research, describe our methodology, present our results, and describe their implications and limitations.

Acknowledgment Use With Synthesized And Recorded Prompts, Karen Ward, Tasha Hollingsed, Javier A. Aldaz Salmon

Graduate Student Papers (CS)

Acknowledgments, e.g., “yeah” and “uh-huh,” are ubiquitous in human conversation but are rarer in human-computer interaction. What interface factors might contribute to this difference? Using a simple spoken-language interface that responded to acknowledgments, we compared subjects’ use of acknowledgments when the interface used recorded speech with that seen when the interface used synthesized speech. Contrary to our hypothesis, we saw a drop in the numbers of subjects using acknowledgments: subjects appeared to interpret the recorded-voice interface as signalling a more limited interface. These results were consistent for both Mexican Spanish and American English versions of the interface.