Data analysis techniques

A large and diverse number of computational techniques are routinely used to process and analyze remotely sensed data. These techniques include: univariate statistics; multivariate statistics; principal component analysis; pattern recognition and classification; other multivariate techniques; geometric correction; registration and resampling; radiometric correction; enhancement; restoration; Fourier analysis; and filtering. Each of these techniques will be considered, in order

Effect of Laplace-Domain Theodorsen Function on the Aeroelasticity of Typical Sections

In the analysis of flutter of fixed-wing aircraft, it is common to use the p-k method in which one iterates on the reduced frequency of the Theordorsen aerodynamic theory based on the Imaginary part of the eigenvalue. However, this process only is correct when the real part of the eigenvalue is zero (i.e., at the stability boundary) because Theodorsen assumes simple harmonic motion. In this paper, we investigate the accuracy of this method for eigenvalues away from the stability bound by replacing the Theodorsen function C(k) with its aerodynamic counterpart for growing or decaying motion. We then study the accuracy of the p-k method as compared to an exact representation

Tunable, single-frequency, erbium fiber ring lasers

Tuning range, side-mode suppression, line width, and intensity noise are reviewed for an all-fiber erbium ring laser. Active stabilization to an external fiber Fabry-Perot resonator is demonstrated

Reduction of the intensity noise from an erbium-doped fiber laser to the standard quantum limit by intracavity spectral filtering

The high frequency intensity noise of a tandem fiber Fabry–Perot erbium-doped fiber ring laser is reduced to the standard quantum limit, with a 0.5 dB experimental uncertainty. Noise reduction of >~14 dB is achieved by intracavity spectral filtering of weak side modes using a narrow-band fiber Fabry–Perot etalon

Measurements of the intensity noise of a broadly tunable, erbium-doped fiber ring laser, relative to the standard quantum limit

The intensity noise of an erbium-doped fiber ring laser is measured relative to the standard quantum limit. Over a tuning range of 24 nm, the noise power is within 20 dB of the shot noise floor and varies linearly with laser output power. Oscillations in the noise power spectrum are observed and attributed to beating of the lasing mode with other, strongly damped cavity modes

MEMS 411: Design of a wiffle ball pitching machine

This project designs a wiffle ball pitching machine that would demonstrate the Magus Effect to the audience in St. Louis Science Center. Primarily made out of wood, this design is portable and able to pitch wiffle balls both indoor and outdoor. With two spinning wheels whose maximum spinning rate is 5044 rpm, this design is able to pitch balls with topspin, backspin, and no spin, and the trajectory of the traveling balls can be recorded by naked eye. The highest recorded traveling velocity of the pitched ball is 67 mph. Several function that would facilitate the demo process are included in this design: accurate pitching and angle adjusting--it is able to pitch balls at an angle range of 0 degrees to 90 degrees and in the testing trial, 12/12 balls are able to hit a 20\u27 by 20\u27 target placed 20 feet away from the machine. There are several risks that a user might take notice of when using the machine: the spinning wheels might scratch a user\u27s hand when it gets too close; the wires connected to the motor would trip users; a user might be hit by a traveling wiffle ball; and if used improperly, a user may get electric shock. Warning signs are prepared on the device to prevent the such risks for happening

The Value Relevance of Earnings and the Prediction of One-Year-Ahead Cash Flows

In this paper we examine the validity of using one-year-ahead cash flows prediction tests as a substitute for the value relevance test of earnings. We show theoretically that the R2 of the cash flows prediction regression is contaminated by the presence of (1) noise in the cash flows and (2) spurious, i.e., value-unrelated, correlation between one-year-ahead cash flows and current earnings. We test if either of the above two factors contribute to the result of Kim and Kross (2005) that the ability of earnings to predict one-year-ahead cash flows has increased over the recent decades, in contrast to the evidence of decreasing value relevance of earnings. We find empirical evidence that both factors contributed to their result and conclude that the cash flows prediction test is a poor substitute for the value relevance test of earnings