Application of Three-Dimensional Interfaces for Data Transfer in Aeroelastic Computations

2004 ◽  
Author(s):  
Mani Sadeghi ◽  
Feng Liu ◽  
Kwok Leung Lai ◽  
Her Mann Tsai
Keyword(s):  
Data Transfer ◽  
Three Dimensional

scholarly journals Three-dimensional data transfer operators in large plasticity deformations using modified-SPR technique

2009 ◽  
Vol 33 (7) ◽  
pp. 3269-3285 ◽  
Author(s):  
A.R. Khoei ◽  
S.A. Gharehbaghi
Keyword(s):  
Data Transfer ◽  
Three Dimensional ◽  
Transfer Operators

scholarly journals THE PROPERTIES OF GEOMETRICALLY MODELLING COMPUTATIONAL SCHEMES FOR BUILDING STRUCTURES

2021 ◽  
Vol 12 (1) ◽  
pp. 32-38
Author(s):  
Vladimir Popov ◽  
Eduard Kriksunov ◽  
Tatjana Grigorjeva
Keyword(s):  
Computational Model ◽  
Data Exchange ◽  
Data Transfer ◽  
Three Dimensional ◽  
Integrated Design ◽  
Integrated Analysis ◽  
Building Structures ◽  
Structural Behaviour ◽  
Actual Structure ◽  
Developmental Features

For launching a project on a structural object, the calculation of building structures stands as one of the most important stages of project development. In order to correctly analyse structural behaviour, determine the stress-strain state and solve design or inspection problems, the designer is forced to adequately formalize the actual structure turning it into a faultless computational scheme. Virtual testing is one of the main features of the single graphical-information model. Interoperable systems for three-dimensional modelling and analysis, calculation and design ensure smooth data transfer between the physical and computational model. Modern object-modelling techniques and integrated analysis systems allow achieving the defined goal. The article deals with the forms of data exchange, the developmental features of the designed and computational (analysis) BIM model, the integrated design process of CAD/CAE as well as the conversion problems of the physical and computational model.

Robust Watermarking of Polygonal Meshes Based on Vertex Norms Variance Distortion

2017 ◽  
Vol 25 (4) ◽  
pp. 46-60 ◽  
Author(s):  
Yesmine Ben Amar ◽  
Imen Trabelsi ◽  
Nilanjan Dey ◽  
Fuqian Shi ◽  
Suresh Chandra Satapathy ◽  
...  
Keyword(s):  
Copyright Protection ◽  
Data Transfer ◽  
Three Dimensional ◽  
Blind Detection ◽  
Robust Watermarking ◽  
Polygonal Meshes ◽  
Detection Scheme ◽  
Media Type ◽  
Digital Contents

The three-dimensional (3D) mesh is moderately novel media type that realizes a rising success in various applications through data transfer via the Internet, which requires security approaches. Technological copyright protection of digital contents has become a challenging task in the current digital epoch. In this work, a robust watermarking algorithm of polygonal meshes for copyright protection purposes is proposed. The watermark insertion was achieved by quantization of the vertex norms variance in order to insert the watermark bits. In addition, this method is based on a blind detection scheme, so the watermark can be extracted without referring to the original mesh. The experimental results established the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks, which were evaluated to prove the validity of the proposed algorithm. The results proved the proposed method efficiency in terms of robustness and imperceptibility against several signal processing distortions. A comparison with other reported method with similar purposes is also provided. The comparison depicted the outstanding robustness of the proposed method compared to the other reported method.

Three-Dimensional Packaging Technology for Stacked DRAM With 3-Gb/s Data Transfer

2008 ◽  
Vol 55 (7) ◽  
pp. 1614-1620 ◽  
Author(s):  
Masaya Kawano ◽  
Nobuaki Takahashi ◽  
Yoichiro Kurita ◽  
Koji Soejima ◽  
Masahiro Komuro ◽  
...  
Keyword(s):  
Data Transfer ◽  
Three Dimensional ◽  
Packaging Technology

Optically Coupled Three-Dimensional Common Memory with Novel Data Transfer Method

1989 ◽  
Vol 28 (Part 2, No. 12) ◽  
pp. L2305-L2308 ◽  
Author(s):  
Hirokazu Takata ◽  
Hiroki Mori ◽  
Junichiro Iba ◽  
Mitsumasa Koyanagi
Keyword(s):  
Data Transfer ◽  
Three Dimensional ◽  
Transfer Method ◽  
Common Memory

Producibility in the Naval Ship Design Process: A Progress Report

1993 ◽  
Vol 9 (04) ◽  
pp. 210-223
Author(s):  
Robert G. Keane ◽  
Howard Fireman
Keyword(s):  
Design Process ◽  
Data Transfer ◽  
Three Dimensional ◽  
Ship Design ◽  
Digital Data ◽  
Cost Models ◽  
Total Quality ◽  
Improvement Project ◽  
Design Engineers ◽  
Naval Ship

In October 1989, A Ship Design for Producibility Workshop was held by the Naval Sea Systems Command (NAVSEA) at the David Taylor Research Center (DTRC). The purpose of the workshop was "To develop the framework of a plan to integrate producibility concepts and processes into the NAVSEA Ship Design Process." The major recommendations of the workshop included initiatives related to increased training of NAVSEA design engineers in modern ship production concepts, development of producibility design tools and practices for use by NAVSEA design engineers, improved cost models, implementation of producibility strategies for ship design process improvements, modification to existing acquisition practices, and improved three-dimensional (3-D) digital data transfer. The workshop was one of NAVSEA's first Total Quality Leadership (TQL) initiatives and was subsequently expanded into the Ship Design, Acquisition and Construction (DAC) Process Improvement Project. This paper reports on the major findings and recommendations of the workshop, the near term accomplishments since the workshop, and the long range strategic plan for continuously improving producibility in the Naval Ship Design Process.

A Hybrid Optimization Based on GPU Parallel Computing Method and its Application of Three Dimensional Large Eddy Simulations

2013 ◽  
Vol 275-277 ◽  
pp. 2589-2594 ◽  
Author(s):  
Yu Xuan Zhang ◽  
Song Ping Wu
Keyword(s):  
High Speed ◽  
Data Transfer ◽  
Three Dimensional ◽  
Processing Unit ◽  
Desktop Computer ◽  
Central Processing ◽  
Eddy Simulation ◽  
Turbulence Flow ◽  
Large Eddy ◽  
Optimization Schemes

Using compute Unified device architecture (CUDA), a traditional computational fluid dynamics (CFD) program is paralleled and optimized based on graphic processing unit (GPU). The calculation process is divided into two parts as serial and parallel. Their main characteristics are analyzed and different optimization schemes are given. CPU (central processing unit) and GPU work respectively as flow control and high-speed parallel computation. Bandwidth between devices is applied effectively. Data transfer between devices is moderately improved to simplify algorithm. Finally, the method is verified by simulating a three-dimensional isotropic homogeneous turbulence flow field. The calculation uses large eddy simulation (LES) method with secondary filter and solves the three-dimensional N-S equations. The maximum grid number achieves 8,000,000 and takes 33 seconds each step. All calculations are using ordinary single desktop computer, optimized acceleration ratio can reach 9.

scholarly journals An Investigation of Acoustic Attenuation Performance of Silencers with Mean Flow Based on Three-Dimensional Numerical Simulation

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Wei Fan ◽  
Li-Xin Guo
Keyword(s):  
Flow Field ◽  
Flow Velocity ◽  
Cfd Simulation ◽  
Data Transfer ◽  
Transmission Loss ◽  
Three Dimensional ◽  
Mean Flow ◽  
Acoustic Attenuation ◽  
3D Fem ◽  
Expansion Chamber

Transmission loss (TL) is often used to evaluate the acoustic attenuation performance of a silencer. In this work, a three-dimensional (3D) finite element method (FEM) is employed to calculate the TL of some representative silencers, namely, circular expansion chamber silencer and straight-through perforated pipe silencer. In order to account for the effect of mean flow that exists inside the silencer, the 3D FEM is used in conjunction with the Computational Fluid Dynamics (CFD) simulation of the flow field. More concretely, the 3D mean flow field is computed by firstly using CFD, and then the obtained mean flow data are imported to an acoustic solution undertaken using FEM. The data transfer between the two steps is accomplished by mesh mapping. The results presented demonstrate good agreement between present TL predictions and previously published experimental and numerical works. Also, the details of the flow inside the silencers may be studied. Furthermore, the effect of mean flow velocity on acoustic attenuation performance of the silencers is investigated. It is concluded that for the studied silencers, in general, increasing flow velocity increases the TL and decreases the resonance peaks.

scholarly journals Parallel Computation of EM Backscattering from Large Three-Dimensional Sea Surface with CUDA

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3656 ◽  
Author(s):  
Longxiang Linghu ◽  
Jiaji Wu ◽  
Zhensen Wu ◽  
Xiaobing Wang
Keyword(s):  
Parallel Computation ◽  
Graphics Processing Units ◽  
Data Transfer ◽  
Three Dimensional ◽  
Block Size ◽  
Sea Surface ◽  
Scale Model ◽  
Specular Scattering ◽  
Coalesced Memory ◽  
The Impact

An efficient parallel computation using graphics processing units (GPUs) is developed for studying the electromagnetic (EM) backscattering characteristics from a large three-dimensional sea surface. A slope-deterministic composite scattering model (SDCSM), which combines the quasi-specular scattering of Kirchhoff Approximation (KA) and Bragg scattering of the two-scale model (TSM), is utilized to calculate the normalized radar cross section (NRCS in dB) of the sea surface. However, with the improvement of the radar resolution, there will be millions of triangular facets on the large sea surface which make the computation of NRCS time-consuming and inefficient. In this paper, the feasibility of using NVIDIA Tesla K80 GPU with four compute unified device architecture (CUDA) optimization strategies to improve the calculation efficiency of EM backscattering from a large sea surface is verified. The whole GPU-accelerated SDCSM calculation takes full advantage of coalesced memory access, constant memory, fast math compiler options, and asynchronous data transfer. The impact of block size and the number of registers per thread is analyzed to further improve the computation speed. A significant speedup of 748.26x can be obtained utilizing a single GPU for the GPU-based SDCSM implemented compared with the CPU-based counterpart performing on the Intel(R) Core(TM) i5-3450.

scholarly journals Differences among Unique Nanoparticle Protein Corona Constructs: A Case Study Using Data Analytics and Multi-Variant Visualization to Describe Physicochemical Characteristics

2018 ◽  
Vol 8 (12) ◽  
pp. 2669 ◽  
Author(s):  
Madison Stewart ◽  
Marina Mulenos ◽  
London Steele ◽  
Christie Sayes
Keyword(s):  
Protein Interactions ◽  
Data Analytics ◽  
Data Transfer ◽  
Three Dimensional ◽  
Protein Corona ◽  
Active Pharmaceutical Ingredient ◽  
Physicochemical Characteristics ◽  
Using Data ◽  
Visualization Techniques ◽  
Complex Datasets

Gold nanoparticles (AuNPs) used in pharmaceutical treatments have been shown to effectively deliver a payload, such as an active pharmaceutical ingredient or image contrast agent, to targeted tissues in need of therapy or diagnostics while minimizing exposure, availability, and accumulation to surrounding biological compartments. Data sets collected in this field of study include some toxico- and pharmacodynamic properties (e.g., distribution and metabolism) but many studies lack information about adsorption of biological molecules or absorption into cells. When nanoparticles are suspended in blood serum, a protein corona cloud forms around its surface. The extent of the applications and implications of this formed cloud are unknown. Some researchers have speculated that the successful use of nanoparticles in pharmaceutical treatments relies on a comprehensive understanding of the protein corona composition. The work presented in this paper uses a suite of data analytics and multi-variant visualization techniques to elucidate particle-to-protein interactions at the molecular level. Through mass spectrometry analyses, corona proteins were identified through large and complex datasets. With such high-output analyses, complex datasets pose a challenge when visualizing and communicating nanoparticle-protein interactions. Thus, the creation of a streamlined visualization method is necessary. A series of user-friendly data informatics techniques were used to demonstrate the data flow of protein corona characteristics. Multi-variant heat maps, pie charts, tables, and three-dimensional regression analyses were used to improve results interpretation, facilitate an iterative data transfer process, and emphasize features of the nanoparticle-protein corona system that might be controllable. Data informatics successfully highlights the differences between protein corona compositions and how they relate to nanoparticle surface charge.

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