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The paper describes efficient methods to post-process results from the finite element analysis. Amount of data produced by the complex analysis is enormous. However, computer performance and memory are limited and commonly-used software tools do not provide ways to post-process data easily. Therefore, some sort of simplification of data has to be used to lower memory consumption and accelerate data loading. This article describes a procedure that replaces discrete values with a set of continuous functions. Each approximation function can be represented by a small number of parameters that are able to describe the character of resulting data closely enough.

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Abstract  

The ASEDRA (Advanced Synthetically Enhanced Detector Resolution Algorithm, patent pending) has been successfully applied as a post processing algorithm to both sodium iodide (NaI(Tl)) and cesium iodide (CsI(Na)) scintillator detectors to synthetically enhance their realized spectral data resolution by as much as a factor of three, wherein from these detectors the “raw” unprocessed spectra are traditionally of poor resolution. ASEDRA uses noise reduction and built-in high resolution Monte Carlo radiation transport based detector response functions (DRFs) to rapidly post-process a spectrum in a few seconds on a standard laptop; gamma lines are extracted with an accuracy that makes the scintillator detectors competitive with higher resolution, higher material cost detectors. ASEDRA differs from other tools in the field, such as Sandia’s GADRAS software, in that ASEDRA performs a differential spectrum attribution and cumulative extraction from the sample spectrum, rather than an integral-based approach, as in GADRAS. Previous publications have highlighted the successful application of ASEDRA in samples with plutonium and various isotopes. A new SmartID nuclide identification package to accompany ASEDRA has recently been implemented for test and evaluation purposes for sample attribution; in addition, the application of ASEDRA+SmartID has occurred with success in long dwell cargo monitoring and SNM detection applications, enabling new protocols for HEU detection. Overall, this paper presents recent developments and results along with a discussion of follow-on steps in the development of ASEDRA as an effective field gamma spectrum analysis tool for low cost scintillators.

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Nowadays, GPS is the best positioning system with its constellation, but number of GLONASS satellites increased to the required number, with launched new ones, for positioning. With recent revitalization of GLONASS, a great number of high precision GLONASS and GPS/GLONASS receivers have been produced. In this paper, baselines of two networks have been analyzed in order to assess the usability of GLONASS on global positioning. In both networks, repeatabilities of results were investigated by using GPS, GLONASS and GPS/GLONASS data. Results revealed that repeatabilities of all baselines by using GLONASS observations are not consistent when compared to the GPS and GPS/GLONASS.

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Imaging
Authors:
Vincenzo Cirimele
,
Giulia D'Amone
,
Carlo Mallio
,
Bruno Beomonte Zobel
, and
Eliodoro Faiella

attenuation at two different datasets enable qualitative and quantitative characterization of the materials contained in a single voxel. Post-processing algorithms create virtual monoenergetic images, material decomposition images, electron density maps, and

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-process (during the assignment), and Post-process (after the assignment, or downstream). Accounts on how interpreters collaborate during these stages can be found in a variety of research and non-research literature. According to Yang and Su (2014) , interpreters

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Salgado, R., Mulkens, T., Özsarlak, Ö. és mtsai: CT angiography: Basic principles and post-processing applications. JBR–BTR, 2003, 86 , 336–340. Özsarlak Ö. CT angiography: Basic

Open access

, diameter 205 mm, with slice thickness of 0.4 mm (quasi-isotropic voxels). The images were archived in DICOM (Digital Imaging and Communications in Medicine) files. Post-processing of native images The image post-processing was carried out by the above

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(especially pain), and the regions of their symptoms. The CT examination was carried out in St Rókus Hospital, Budapest, Hungary. The CT tool was a “General Electric Optima 540MS”. The images were revised with bone window and other post-processing procedures

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probability-based, or quantile selection (P10, P50, and P90), which is often based on static parameters. In general, a “transfer function” can be applied to post-process the set of Earth models to reduce the huge amount of data, focusing on the flow response

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This paper presents a CAD-based approach for a new sheet metal forming technology that is Dieless Incremental Sheet Forming (DSF). This is established through the development of a program that allows a 3D model to be created with the use of a CAD Application Programming Interface (API) and an offline Slave Tool Path calculator based on a commercial CAM program’s output (Master Tool Path). The author will show how to apply parameterizations in the same model by utilizing the CAD API to overcome problems of a commercial post-processor and how to calculate Slave Tool Paths for different forming strategies.

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