132 research outputs found

    Probabilistic and deterministic aspects of linear estimation in geodesy

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    Recent advances in observational techniques related to geodetic work (VLBI, laser ranging) make it imperative that more consideration should be given to modeling problems. Uncertainties in the effect of atmospheric refraction, polar motion and precession-nutation parameters, cannot be dispensed with in the context of centimeter level geodesy. Even physical processes that have generally been previously altogether neglected (station motions) must now be taken into consideration. The problem of modeling functions of time or space, or at least their values at observation points (epochs) is explored. When the nature of the function to be modeled is unknown. The need to include a limited number of terms and to a priori decide upon a specific form may result in a representation which fails to sufficiently approximate the unknown function. An alternative approach of increasing application is the modeling of unknown functions as stochastic processes

    Design of experiment for earth rotation and baseline parameter determination from very long baseline interferometry

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    The possibility of recovering earth rotation and network geometry (baseline) parameters are emphasized. The numerical simulated experiments performed are set up in an environment where station coordinates vary with respect to inertial space according to a simulated earth rotation model similar to the actual but unknown rotation of the earth. The basic technique of VLBI and its mathematical model are presented. The parametrization of earth rotation chosen is described and the resulting model is linearized. A simple analysis of the geometry of the observations leads to some useful hints on achieving maximum sensitivity of the observations with respect to the parameters considered. The basic philosophy for the simulation of data and their analysis through standard least squares adjustment techniques is presented. A number of characteristic network designs based on present and candidate station locations are chosen. The results of the simulations for each design are presented together with a summary of the conclusions

    Contribution of Apollo lunar photography to the establishment of selenodetic control

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    Among the various types of available data relevant to the establishment of geometric control on the moon, the only one covering significant portions of the lunar surface (20%) with sufficient information content, is lunar photography, taken at the proximity of the moon from lunar orbiters. The idea of free geodetic networks is introduced as a tool for the statistical comparison of the geometric aspects of the various data used. Methods were developed for the updating of the statistics of observations and the a priori parameter estimates to obtain statistically consistent solutions by means of the optimum relative weighting concept

    Design of experiment for earth rotation and baseline parameter determination from very long baseline interferometry

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    Prepared for the National Aeronautics and Space Administration, Washington, D.C.: Grant No. NGR 36-008-204, OSURF Project No. 3820-A

    The Evolution of Neo-Adjuvant Therapy in the Treatment of Oesophageal and Gastro-Oesophageal Junction Adenocarcinomas

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    Historically, oesophageal and gastro-oesophageal junction adenocarcinomas were associated with a poor prognosis. The advent of neoadjuvant therapy has transformed the management of oesophageal and gastro-oesophageal junction adenocarcinomas further and offers the possibility to reverse disease progression, eliminate micrometastasis, and offer potentially better outcomes for these patients. This review provides an overview of landmark clinical trials in this area, with different treatment regimens considered over the years as well as potential therapeutic agents on the horizon that may transform the management of oesophageal and gastro-oesophageal junction adenocarcinomas further

    Pseudo-Random Generator based on a Photonic Neuromorphic Physical Unclonable Function

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    In this work we provide numerical results concerning a silicon-on-insulator photonic neuromorphic circuit configured as a physical unclonable function. The proposed scheme is enhanced with the capability to be operated as an unconventional deterministic pseudo-random number generator, suitable for cryptographic applications that alleviates the need for key storage in non-volatile digital media. The proposed photonic neuromorphic scheme is able to offer NIST test compatible numbers with an extremely low false positive/negative probability below 10-14. The proposed scheme offers multi-functional capabilities due to the fact that it can be simultaneously used as an integrated photonic accelerator for machine-learning applications and as a hardware root of trust.Comment: 8 pages, 7 figure

    Spatial Photonic Reservoir Computing based on Non-Linear Phase-to-Amplitude Conversion in Micro-Ring Resonators

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    We present a photonic reservoir computing, relying on a non-linear phase-to-amplitude mapping process, able to classify in real-time multi-Gbaud time traces subject to transmission effects. This approach delivers an all-optical, low-power neuromorphic dispersion compensator.Comment:

    Contribution of Apollo lunar photography to the establishment of selenodetic control

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    Prepared for National Aeronautics and Space Administration, Johnson Space Center, Houston, Texas: Contract No. NAS 9-13093, OSURF Project No. 3487 - A

    Development and Implementation of Image-based Algorithms for Measurement of Deformations in Material Testing

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    This paper presents the development and implementation of three image-based methods used to detect and measure the displacements of a vast number of points in the case of laboratory testing on construction materials. Starting from the needs of structural engineers, three ad hoc tools for crack measurement in fibre-reinforced specimens and 2D or 3D deformation analysis through digital images were implemented and tested. These tools make use of advanced image processing algorithms and can integrate or even substitute some traditional sensors employed today in most laboratories. In addition, the automation provided by the implemented software, the limited cost of the instruments and the possibility to operate with an indefinite number of points offer new and more extensive analysis in the field of material testing. Several comparisons with other traditional sensors widely adopted inside most laboratories were carried out in order to demonstrate the accuracy of the implemented software. Implementation details, simulations and real applications are reported and discussed in this paper
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