scholarly journals Application of post-processing tools to improve visualisation and quality of numerical short-range predictions over Central Europe

1997 ◽  
Vol 4 (3) ◽  
pp. 219-228 ◽  
Author(s):  
Gerald Spreitzhofer
Keyword(s):  
Central Europe ◽  
Short Range ◽  
Post Processing

Effect of post‐processing treatments on the quality of three‐dimensional printed rice starch constructs

2021 ◽  
Author(s):  
Radhika Theagarajan ◽  
Shubham Nimbkar ◽  
Jeyan Arthur Moses ◽  
Chinnaswamy Anandharamakrishnan
Keyword(s):  
Three Dimensional ◽  
Rice Starch ◽  
Post Processing

Finding Approximate Shape Regularities for Reverse Engineering

2001 ◽  
Vol 1 (4) ◽  
pp. 282-290 ◽  
Author(s):  
F. C. Langbein ◽  
B. I. Mills ◽  
A. D. Marshall ◽  
R. R. Martin
Keyword(s):  
Reverse Engineering ◽  
Small Groups ◽  
Input Data ◽  
Boundary Representation ◽  
Range Data ◽  
Engineering Systems ◽  
Post Processing ◽  
Processing Step ◽  
3D Range Data

Current reverse engineering systems can generate boundary representation (B-rep) models from 3D range data. Such models suffer from inaccuracies caused by noise in the input data and algorithms. The quality of reverse engineered geometric models can be improved by finding candidate shape regularities in such a model, and constraining the model to meet a suitable subset of them, in a post-processing step called beautification. This paper discusses algorithms to detect such approximate regularities in terms of similarities between feature objects describing properties of faces, edges and vertices, and small groups of these elements in a B-rep model with only planar, spherical, cylindrical, conical and toroidal faces. For each group of similar feature objects they also seek special feature objects which may represent the group, e.g. an integer value which approximates the radius of similar cylinders. Experiments show that the regularities found by the algorithms include the desired regularities as well as spurious regularities, which can be limited by an appropriate choice of tolerances.

scholarly journals Improving prediction quality of sea surface temperature (SST) in Niño3.4 region using Bayesian Model Averaging

2021 ◽  
Vol 893 (1) ◽  
pp. 012028
Author(s):  
Robi Muharsyah ◽  
Dian Nur Ratri ◽  
Damiana Fitria Kussatiti
Keyword(s):  
Surface Temperature ◽  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Model Averaging ◽  
Seasonal Forecast ◽  
Sea Surface ◽  
Post Processing ◽  
Enso Events ◽  
Prediction Quality

Abstract Prediction of Sea Surface Temperature (SST) in Niño3.4 region (170 W - 120 W; 5S - 5N) is important as a valuable indicator to identify El Niño Southern Oscillation (ENSO), i.e., El Niño, La Niña, and Neutral condition for coming months. More accurate prediction Niño3.4 SST can be used to determine the response of ENSO phenomenon to rainfall over Indonesia region. SST predictions are routinely released by meteorological institutions such as the European Center for Medium-Range Weather Forecasts (ECMWF). However, SST predictions from the direct output (RAW) of global models such as ECMWF seasonal forecast is suffering from bias that affects the poor quality of SST predictions. As a result, it also increases the potential errors in predicting the ENSO events. This study uses SST from the output Ensemble Prediction System (EPS) of ECMWF seasonal forecast, namely SEAS5. SEAS5 SST is downloaded from The Copernicus Climate Change Service (C3S) for period 1993-2020. One value representing SST over Niño3.4 region is calculated for each lead-time (LT), LT0-LT6. Bayesian Model Averaging (BMA) is selected as one of the post-processing methods to improve the prediction quality of SEAS5-RAW. The advantage of BMA over other post-processing methods is its ability to quantify the uncertainty in EPS, which is expressed as probability density function (PDF) predictive. It was found that the BMA calibration process reaches optimal performance using 160 months training window. The result show, prediction quality of Niño3.4 SST of BMA output is superior to SEAS5-RAW, especially for LT0, LT1, and LT2. In term deterministic prediction, BMA shows a lower Root Mean Square Error (RMSE), higher Proportion of Correct (PC). In term probabilistic prediction, the error rate of BMA, which is showed by the Brier Score is lower than RAW. Moreover, BMA shows a good ability to discriminating ENSO events which indicates by AUC ROC close to a perfect score.

Hybrid Metal 3D Printing for Selective Polished Surface

2021 ◽  
Vol 1027 ◽  
pp. 136-140
Author(s):  
Sze Yi Mak ◽  
Kwong Leong Tam ◽  
Ching Hang Bob Yung ◽  
Wing Fung Edmond Yau
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Surface Finishing ◽  
Polished Surface ◽  
Post Processing ◽  
One Stop ◽  
Metal 3D Printing ◽  
Critical Challenge ◽  
Metal Additive

Metal additive manufacturing has found broad applications in diverse disciplines. Post processing to homogenize and improve surface finishing remains a critical challenge to additive manufacturing. We propose a novel one-stop solution of adopting hybrid metal 3D printing to streamlining the additive manufacturing workflow as well as to improve surface roughness quality of selective interior surface of the printed parts. This work has great potential in medical and aerospace industries where complicated and high-precision additive manufacturing is anticipated.

scholarly journals Sensitivity of GNSS tropospheric gradients to processing options

2019 ◽  
Vol 37 (3) ◽  
pp. 429-446 ◽  
Author(s):  
Michal Kačmařík ◽  
Jan Douša ◽  
Florian Zus ◽  
Pavel Václavovic ◽  
Kyriakos Balidakis ◽  
...  
Keyword(s):  
Real Time ◽  
Elevation Angle ◽  
Mapping Function ◽  
Global Navigation Satellite Systems ◽  
Gradient Estimates ◽  
Post Processing ◽  
Data Set ◽  
Mapping Functions ◽  
Gradient Mapping

Abstract. An analysis of processing settings impacts on estimated tropospheric gradients is presented. The study is based on the benchmark data set collected within the COST GNSS4SWEC action with observations from 430 Global Navigation Satellite Systems (GNSS) reference stations in central Europe for May and June 2013. Tropospheric gradients were estimated in eight different variants of GNSS data processing using precise point positioning (PPP) with the G-Nut/Tefnut software. The impacts of the gradient mapping function, elevation cut-off angle, GNSS constellation, observation elevation-dependent weighting and real-time versus post-processing mode were assessed by comparing the variants by each to other and by evaluating them with respect to tropospheric gradients derived from two numerical weather models (NWMs). Tropospheric gradients estimated in post-processing GNSS solutions using final products were in good agreement with NWM outputs. The quality of high-resolution gradients estimated in (near-)real-time PPP analysis still remains a challenging task due to the quality of the real-time orbit and clock corrections. Comparisons of GNSS and NWM gradients suggest the 3∘ elevation angle cut-off and GPS+GLONASS constellation for obtaining optimal gradient estimates provided precise models for antenna-phase centre offsets and variations, and tropospheric mapping functions are applied for low-elevation observations. Finally, systematic errors can affect the gradient components solely due to the use of different gradient mapping functions, and still depending on observation elevation-dependent weighting. A latitudinal tilting of the troposphere in a global scale causes a systematic difference of up to 0.3 mm in the north-gradient component, while large local gradients, usually pointing in a direction of increasing humidity, can cause differences of up to 1.0 mm (or even more in extreme cases) in any component depending on the actual direction of the gradient. Although the Bar-Sever gradient mapping function provided slightly better results in some aspects, it is not possible to give any strong recommendation on the gradient mapping function selection.

Effect of drying method on post-processing stability and quality of 3D printed rose-yam paste

2020 ◽  
pp. 1-9
Author(s):  
Chunyan Feng ◽  
Min Zhang ◽  
Zhenbin Liu ◽  
Arun Mujumdar ◽  
Yuchuan Wang ◽  
...  
Keyword(s):  
Post Processing ◽  
Drying Method ◽  
3D Printed ◽  
Processing Stability

Development of Post Processor for Dual-Spindle Turning Center

2014 ◽  
Vol 541-542 ◽  
pp. 804-807
Author(s):  
An Jiang Cai ◽  
Fang Rong Ma ◽  
Ming Wei Ding ◽  
Shi Hong Guo
Keyword(s):  
Structural System ◽  
Post Processing ◽  
Technical Problems ◽  
Key Technology ◽  
Nc Programming ◽  
Mechanical Products ◽  
Processing Modes ◽  
Turning Center ◽  
Efficient Processing

This paper takes dual-spindle turning center as the research object, researching on the key technology of the efficient processing and integration application, the special post processor for dual-spindle turning center was developed based on the IMSPOST, the technical problems of dual-spindle structural system and post processing algorithm for varies of processing modes were solved, the NC processing programs were generated effectively and correctly. Production application showed that: the development of post processor for dual-spindle turning center improves the automation level and quality of NC programming effectively, brings the processing capability of dual-spindle turning center full play, and provides technical support for the manufacturing of complex mechanical products.

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