Instrumentation for the coriolis acceleration platform

Instrumentation system for coriolis acceleration test platfor

Biotelemetry of the triaxial ballistocardiogram and electrocardiogram in a weightless environment

Biotelemetry of triaxial ballistocardiogram and electrocardiogram in weightless environmen

A Torque Motor Servorotator for Vestibular Application

Torque motor servorotator for vestibular applicatio

Vestibular responses to sinusoidal angular acceleration stimuli with superimposed offset velocities

Human vestibular responses to sinusoidal angular acceleration stimuli with superimposed offset velocitie

Instrumentation for measurement of vestibular-significant forces in helicopters

Accelerometer for airborne measurements of vestibular forces acting on helicopter pilot

Directional differences in visual acuity during vertical nystagmus

Directional differences in visual acuity during vertical nystagmu

Processing techniques development, volume 2. Part 1: Crop inventory techniques

There are no author-identified significant results in this report

Kinematics nomenclature for physiological accelerations with special reference to vestibular applications

Kinematics nomenclature for physiological accelerations and special reference to vestibular apparatu

Determination of the optimal level for combining area and yield estimates

Several levels of obtaining both area and yield estimates of corn and soybeans in Iowa were considered: county, refined strata, refined/split strata, crop reporting district, and state. Using the CCEA model form and smoothed weather data, regression coefficients at each level were derived to compute yield and its variance. Variances were also computed with stratum level. The variance of the yield estimates was largest at the state and smallest at the county level for both crops. The refined strata had somewhat larger variances than those associated with the refined/split strata and CRD. For production estimates, the difference in standard deviations among levels was not large for corn, but for soybeans the standard deviation at the state level was more than 50% greater than for the other levels. The refined strata had the smallest standard deviations. The county level was not considered in evaluation of production estimates due to lack of county area variances