Mutual impedance effects in scanned antenna arrays technical report no. 2

Mutual impedance effects in electronically-scanned antenna array

Electronic scanning and beam shaping methods technical report no. 1

Electronically scanned antenna array and beam scannin

The measurement of harmonics produced by a pin diode in a microwave switching application Final report

Measurement of harmonics produced by a pin diode in microwave switc

Current drainage to a high voltage probe in a dilute plasma

Electron drainage current from dilute plasma through holes in high voltage dielectric probe

Study of inexact modeling techniques Final report

Scale modeling antenna systems for aircraft and missiles with anechoic chamber evaluation and us

Prediction of the functional properties of ceramic materials from composition using artificial neural networks

We describe the development of artificial neural networks (ANN) for the prediction of the properties of ceramic materials. The ceramics studied here include polycrystalline, inorganic, non-metallic materials and are investigated on the basis of their dielectric and ionic properties. Dielectric materials are of interest in telecommunication applications where they are used in tuning and filtering equipment. Ionic and mixed conductors are the subjects of a concerted effort in the search for new materials that can be incorporated into efficient, clean electrochemical devices of interest in energy production and greenhouse gas reduction applications. Multi-layer perceptron ANNs are trained using the back-propagation algorithm and utilise data obtained from the literature to learn composition-property relationships between the inputs and outputs of the system. The trained networks use compositional information to predict the relative permittivity and oxygen diffusion properties of ceramic materials. The results show that ANNs are able to produce accurate predictions of the properties of these ceramic materials which can be used to develop materials suitable for use in telecommunication and energy production applications

Hyperopic Cops and Robbers

We introduce a new variant of the game of Cops and Robbers played on graphs, where the robber is invisible unless outside the neighbor set of a cop. The hyperopic cop number is the corresponding analogue of the cop number, and we investigate bounds and other properties of this parameter. We characterize the cop-win graphs for this variant, along with graphs with the largest possible hyperopic cop number. We analyze the cases of graphs with diameter 2 or at least 3, focusing on when the hyperopic cop number is at most one greater than the cop number. We show that for planar graphs, as with the usual cop number, the hyperopic cop number is at most 3. The hyperopic cop number is considered for countable graphs, and it is shown that for connected chains of graphs, the hyperopic cop density can be any real number in $[0,1/2].

Variability in sonic-boom signatures measured along an 8000-foot linear array

Variability in sonic boom signatures measured along 8000 foot linear microphone arra

NERVA irradiation program, GTR test 21. Volume 4 - Effect of radiation on structural materials tested at cryogenic and elevated temperatures

Effect of radiation on structural materials for NERVA engine tested at cryogenic and elevated temperatures - Vol.

Microburst phenomena. I - Auroral zone X-rays

Balloon observations of auroral zone bremsstrahlung X-ray microburst