Rapid and Accurate Data Integration Method for Reverse Engineering Applications

2007 ◽  
pp. 163-175 ◽  
Author(s):  
Jafar Jamshidi ◽  
Antony Roy Mileham ◽  
Geraint Wyn Owen
Keyword(s):  
Data Integration ◽  
Reverse Engineering ◽  
Integration Method ◽  
Accurate Data ◽  
Engineering Applications

Data integration method based on SOA software architecture

2010 ◽  
Vol 30 (9) ◽  
pp. 2370-2373 ◽  
Author(s):  
Jiong LANG ◽  
Yan-bing LIU ◽  
Shi-yong XIONG
Keyword(s):  
Data Integration ◽  
Software Architecture ◽  
Integration Method

scholarly journals Identification of Alzheimer's Disease-Related Genes Based on Data Integration Method

2019 ◽  
Vol 9 ◽  
Author(s):  
Yang Hu ◽  
Tianyi Zhao ◽  
Tianyi Zang ◽  
Ying Zhang ◽  
Liang Cheng
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Data Integration ◽  
Integration Method ◽  
Disease Related Genes

Secure Channel for Sharing Datasets by using Privacy-Preserving Integration Method

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
G Sriman Narayana ◽  
Kuruva Arjun Kumar
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Privacy Preserving ◽  
The Other ◽  
Third Party ◽  
Traffic Data ◽  
Structure Preserving ◽  
Efficient Approach ◽  
The Third ◽  
Secure Channel

In privacy-enhancing technology, it has been inevitably challenging to strike a maintain balance between privacy, efficiency and usability (utility). We propose a highly practical and efficient approach for privacy-preserving integration and sharing of datasets among a group of participants. At the heart of our solution is a new interactive protocol, Secure Channel. Through Secure Channel, each participant is able to randomize their datasets via an independent and untrusted third party, such that the resulting dataset can be merged with other randomized datasets contributed by other participants group in a privacy-preserving manner. Our process does not require any public or key sharing between participants in order to integrate different datasets. This, in turn, leads to a user can understand and use easily and scalable solution. Moreover, the accuracy of a randomized dataset which are returned by the third party can be securely verified by the other participant of group. We further demonstrate Secure Channel’s general utilities, using it to construct a structure preserving data integration protocol. This is mainly useful for, good quality integration of network traffic data.

The Use of the Terrestrial Photogrammetry in Reverse Engineering Applications

2015 ◽  
Vol 4 (2) ◽  
pp. 48-57
Author(s):  
Naci Yastikli ◽  
Zehra Erisir ◽  
Pelin Altintas ◽  
Tugba Cak
Keyword(s):  
Reverse Engineering ◽  
Point Cloud ◽  
Low Cost ◽  
Line Drawing ◽  
Engineering Application ◽  
3D Models ◽  
Engineering Applications ◽  
Ship Model ◽  
Dense Point ◽  
Terrestrial Photogrammetry

The reverse engineering applications has gained great momentum in industrial production with developments in the fields of computer vision and computer-aided design (CAD). The reproduction of an existing product or a spare part, reproduction of an existing surface, elimination of the defect or improvement of the available product are the goals of industrial reverse engineering applications. The first and the most important step in reverse engineering applications is the generation of the three dimensional (3D) metric model of an existing product in computer environment. After this stage, many operations such as the preparation of molds for mass production, the performance testing, the comparison of the existing product with other products and prototypes which are available on the market are performed by using the generated 3D models. In reverse engineering applications, the laser scanner system or digital terrestrial photogrammetry methods, also called contactless method, are preferred for the generation of the 3D models. In particular, terrestrial photogrammetry has become a popular method since require only photographs for the 3-dimensional drawing, the generation of the dense point cloud using the image matching algorithms and the orthoimage generation as well as its low cost. In this paper, an industrial application of 3D information modelling is presented which concerns the measurement and 3D metric modelling of the ship model. The possible usage of terrestrial photogrammetry in reverse engineering application is investigated based on low cost photogrammetric system. The main aim was the generation of the dense point cloud and 3D line drawing of the ship model by using terrestrial photogrammetry, for the production of the ship in real size as a reverse engineering application. For this purpose, the images were recorded with digital SLR camera and orientations have been performed. Then 3D line drawing operations, point cloud and orthoimage generations have been accomplished by using PhotoModeler software. As a result of the proposed terrestrial photogrammetric steps, 0.5 mm spaced dense point cloud and orthoimage have been generated. The obtained results from experimental study were discussed and possible use of proposed methods was evaluated for reverse engineering application.

Superimposed RBF and B-spline parametric surface for reverse engineering applications

2019 ◽  
Vol 27 (1) ◽  
pp. 17-35 ◽  
Author(s):  
Ivo Marinić-Kragić ◽  
Stipe Perišić ◽  
Damir Vučina ◽  
Milan Ćurković
Keyword(s):  
Reverse Engineering ◽  
Parametric Surface ◽  
Engineering Applications ◽  
B Spline

A policy integration method based on multilevel security for data integration

2015 ◽  
Vol 20 (6) ◽  
pp. 483-489
Author(s):  
Xinming Wang ◽  
Haoxiang Tan ◽  
Kaijun Chen ◽  
Hua Tang ◽  
Gansen Zhao ◽  
...  
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Policy Integration ◽  
Multilevel Security

scholarly journals Multiple-platform data integration method with application to combined analysis of microarray and proteomic data

2012 ◽  
Vol 13 (1) ◽  
pp. 320 ◽  
Author(s):  
Shicheng Wu ◽  
Yawen Xu ◽  
Zeny Feng ◽  
Xiaojian Yang ◽  
Xiaogang Wang ◽  
...  
Keyword(s):  
Data Integration ◽  
Integration Method ◽  
Combined Analysis ◽  
Proteomic Data ◽  
Multiple Platform
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