SU-GG-T-68: Dosimetric Effect of the Source Position Uncertainty for the Mammosite-Based Brachytherapy

S Chen; S Zhou; A Wahl; S Li; R Thompson; C Enke

doi:10.1118/1.3468454

SPEAR: Source Position Estimation for Anchor Position Uncertainty Reduction

IEEE Communications Letters ◽

10.1109/lcomm.2014.020414.132780 ◽

2014 ◽

Vol 18 (4) ◽

pp. 560-563 ◽

Cited By ~ 15

Author(s):

Marko Angjelichinoski ◽

Daniel Denkovski ◽

Vladimir Atanasovski ◽

Liljana Gavrilovska

Keyword(s):

Uncertainty Reduction ◽

Position Estimation ◽

Source Position ◽

Position Uncertainty

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On the Influence of HDR Ir-192 Source Position Uncertainty on Dose Variation within the Varian Ring Applicator

Brachytherapy ◽

10.1016/j.brachy.2014.02.374 ◽

2014 ◽

Vol 13 ◽

pp. S95

Author(s):

Yun Yang ◽

Jing Cai ◽

Beverly Steffey ◽

Sheridan Meltsner ◽

Oana Craciunescu

Keyword(s):

Source Position ◽

Position Uncertainty ◽

Dose Variation

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Bayesian Sonar Detection Performance Prediction With Source Position Uncertainty Using SWellEx-96 Vertical Array Data

IEEE Journal of Oceanic Engineering ◽

10.1109/joe.2006.875263 ◽

2006 ◽

Vol 31 (2) ◽

pp. 345-355 ◽

Cited By ~ 7

Author(s):

L. Sha ◽

L.W. Nolte

Keyword(s):

Performance Prediction ◽

Detection Performance ◽

Source Position ◽

Vertical Array ◽

Position Uncertainty ◽

Array Data

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Development of a conical anode Fe-gun for low voltage SEM

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106958 ◽

1988 ◽

Vol 46 ◽

pp. 978-979

Author(s):

T. Miyokawa ◽

S. Norioka ◽

S. Goto

Keyword(s):

High Resolution ◽

Field Emission ◽

Low Voltage ◽

Irradiation Damage ◽

Cold Cathode ◽

Virtual Source ◽

Source Position ◽

Electrostatic Lens ◽

Electrostatic Lenses ◽

Wide Range

Field emission SEMs (FE-SEMs) are becoming popular due to their high resolution needs. In the field of semiconductor product, it is demanded to use the low accelerating voltage FE-SEM to avoid the electron irradiation damage and the electron charging up on samples. However the accelerating voltage of usual SEM with FE-gun is limited until 1 kV, which is not enough small for the present demands, because the virtual source goes far from the tip in lower accelerating voltages. This virtual source position depends on the shape of the electrostatic lens. So, we investigated several types of electrostatic lenses to be applicable to the lower accelerating voltage. In the result, it is found a field emission gun with a conical anode is effectively applied for a wide range of low accelerating voltages.A field emission gun usually consists of a field emission tip (cold cathode) and the Butler type electrostatic lens.

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Interhemispheric asymmetry of the N100M source position of the auditory evoked magnetic fields exists in both male and female subjects

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88227-6 ◽

1997 ◽

Vol 103 (1) ◽

pp. 70-71

Author(s):

A Kanno

Keyword(s):

Magnetic Fields ◽

Interhemispheric Asymmetry ◽

Source Position ◽

Male And Female ◽

Auditory Evoked Magnetic Fields ◽

Female Subjects

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ADAPTAÇÃO E APLICAÇÃO DE MÉTODOS DE INTELIGÊNCIA COMPUTACIONAL PARA A ESTIMAÇÃO DE UMA FONTE DE POLUENTES EM ESTUÁRIOS

Engevista ◽

10.22409/engevista.v17i2.688 ◽

2014 ◽

Vol 17 (2) ◽

pp. 152

Author(s):

Radael De Souza Parolin ◽

Pedro Paulo Gomes Watts Rodrigues ◽

Antônio J. Silva Neto

Keyword(s):

Computational Intelligence ◽

Computational Models ◽

Source Position ◽

Iterative Search ◽

Contaminant Source ◽

Resources Management ◽

Search Spaces ◽

Grid Points ◽

Computational Intelligence Methods

The quality of a given water body can be assessed through the analysis of a number of indicators. Mathematical and computational models can be built to simulate the behavior of these indicators (observable variables), in such a way that different scenarios can be generated, supporting decisions regarding water resources management. In this study, the transport of a conservative contaminant in an estuarine environment is simulated in order to identify the position and intensity of the contaminant source. For this, it was formulated an inverse problem, which was solved through computational intelligence methods. This approach required adaptations to these methods, which had to be modified to relate the source position to the discrete mesh points of the domain. In this context, two adaptive techniques were developed. In one, the estimated points are projected to the grid points, and in the other, points are randomly selected in the iterative search spaces of the methods. The results showed that the methodology here developed has a strong potential in water bodies’ management and simulation.

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