Electro-optical spin measurement system

An electro-optical spin measurement system for a spin model in a spin tunnel includes a radio controlled receiver/transmitter, targets located on the spin model, optical receivers mounted around the perimeter of the spin tunnel and the base of the spin tunnel for receiving data from the targets, and a control system for accumulating data from the radio controlled receiver and receivers. Six targets are employed. The spin model includes a fuselage, wings, nose, and tail. Two targets are located under the fuselage of the spin model at the nose tip and tail. Two targets are located on the side of the fuselage at the nose tip and tail, and a target is located under each wing tip. The targets under the fuselage at the nose tip and tail measure spin rate of the spin model, targets on the side of the fuselage at the nose tip and tail measure angle of attack of the spin model, and the targets under the wing tips measure roll angle of the spin model. Optical receivers are mounted at 90 degree increments around the periphery of the spin tunnel to determine angle of attack and roll angle measurements of the spin model. Optical receivers are also mounted at the base of the spin tunnel to define quadrant and position of the spin model and to determine the spin rate of the spin model

Miniaturization of flight deflection measurement system

A flight deflection measurement system is disclosed including a hybrid microchip of a receiver/decoder. The hybrid microchip decoder is mounted piggy back on the miniaturized receiver and forms an integral unit therewith. The flight deflection measurement system employing the miniaturized receiver/decoder can be used in a wind tunnel. In particular, the miniaturized receiver/decoder can be employed in a spin measurement system due to its small size and can retain already established control surface actuation functions

The United States' relationship with multilateral aid

Call number: LD2668 .R4 ECON 1988 H36Master of ScienceEconomic

Studies of the geophysics of sea ice

Thesis (Ph.D.) University of Alaska Fairbanks, 1993A non-linear growth model that solves the surface energy balance and heat conduction equations was developed to estimate thermal and physical properties of sea ice. The model incorporates several mechanisms that affect the salinity profile, including initial brine entrapment, brine expulsion, and gravity drainage, and is a non-linear extension of the model initially developed by Cox and Weeks (1988). Simulations were run to investigate the effects of the non-linear feedbacks which exist between the ice growth velocity and the thermal properties of the resulting ice. A comparison of the growth rate versus accumulated freeze-days was performed on the linear model, the non-linear model, and empirical formulas based on field observations. Allowing the model to run through the summer months with retarded ice growth and making an attempt at modelling summer desalinization processes produced second and third-year ice with proper temperature and salinity profiles. The ice growth model was then coupled to a Lambertian surface backscattering model for radar. By calculating the average dielectric constant of the penetration depth and using this value in the backscattering model, a comparison of the predicted signature variations in first-year sea ice was performed against observed backscattering values from ERS-1 SAR images of Dease Inlet, Alaska. The agreement between calculated and observed backscatter was surprisingly good considering that other factors may also influence radar returns. However, the more surprising result was the rescaling of the predicted first year ice signature by +6 dB produced a remarkable fit to observed backscattering values of multiyear ice. The predicted backscatter values and ice thicknesses were then used in conjunction with ERS-1 SAR imagery of the high Arctic to estimate areal coverage of the three major ice types in a 100 x 100 km\sp2 area. Heat and mass flux calculations were then performed to produce daily estimates of energy loss and salt infusion for the winter months of October 1991 through March 1992

Unit Two: Word Attack

Teacher Training Reading Syllabus Unit Two: Word Attack by William Hampton and Robert H. Geeslin in August of 1971

Ordinal Probit Functional Regression Models with Application to Computer-Use Behavior in Rhesus Monkeys

Research in functional regression has made great strides in expanding to non-Gaussian functional outcomes, however the exploration of ordinal functional outcomes remains limited. Motivated by a study of computer-use behavior in rhesus macaques (\emph{Macaca mulatta}), we introduce the Ordinal Probit Functional Regression Model or OPFRM to perform ordinal function-on-scalar regression. The OPFRM is flexibly formulated to allow for the choice of different basis functions including penalized B-splines, wavelets, and O'Sullivan splines. We demonstrate the operating characteristics of the model in simulation using a variety of underlying covariance patterns showing the model performs reasonably well in estimation under multiple basis functions. We also present and compare two approaches for conducting posterior inference showing that joint credible intervals tend to out perform point-wise credible. Finally, in application, we determine demographic factors associated with the monkeys' computer use over the course of a year and provide a brief analysis of the findings

Possible monetary policy responses to the Iraqi oil shock

Power resources - Prices ; Iraq ; Monetary policy ; Petroleum industry and trade