Remote Data Transfer (RDT): An Interprocess Data Transfer Method for Distributed Environments

1992 ◽  
Author(s):  
Jerry A. Clarke
Keyword(s):  
Data Transfer ◽  
Distributed Environments ◽  
Transfer Method ◽  
Remote Data

NPL standard-interface module for remote data transfer

1966 ◽  
Vol 2 (4) ◽  
pp. 135
Author(s):  
A.W. Nicholson ◽  
D.M. Holmes
Keyword(s):  
Data Transfer ◽  
Interface Module ◽  
Standard Interface ◽  
Remote Data

scholarly journals An Innovative Industry 4.0 Cloud Data Transfer Method for an Automated Waste Collection System

2020 ◽  
Vol 12 (5) ◽  
pp. 1839 ◽  
Author(s):  
Costel Emil Cotet ◽  
Gicu Calin Deac ◽  
Crina Narcisa Deac ◽  
Cicerone Laurentiu Popa
Keyword(s):  
Industry 4.0 ◽  
Data Transfer ◽  
Waste Collection ◽  
Collection System ◽  
Time Data ◽  
Cloud Data ◽  
Data Encoding ◽  
Big Data Applications ◽  
Transfer Method ◽  
Cloud Applications

Moving to Industry 4.0 involves the collection of massive amounts of data and the development of big data applications that can ensure a quick data flow between different systems, including massive amounts of data and information collection from smart sensors, and sending them to cloud applications that allow real-time data monitoring and processing. Securing and protecting the transmitted data represents a big issue to be discussed and resolved. In the paper, we propose a new method of data encoding and encryption for cloud applications using PNG format images. The proposed method is described in comparison with one of the classical methods of data encoding and transmission used currently. The paper includes a case study in which the proposed method was used to collect and transmit data from an automated waste collection system. The results show that the proposed method represents a secure, fast and efficient way to send and store the data in the cloud compared to the methods currently used. The proposed method is not limited to being used only in waste management but can be used successfully for any type of manufacturing system from smart factories.

The Advantage of Using a File Data Transfer Method in a Plant Design

2014 ◽  
Author(s):  
Michael Fung ◽  
Andy Fung ◽  
Richard H. Fung ◽  
P. K. Fung
Keyword(s):  
Structural Analysis ◽  
Stress Analysis ◽  
Data Transfer ◽  
Support Vector ◽  
Petrochemical Plant ◽  
Plant Design ◽  
Analysis Program ◽  
Analysis Model ◽  
Design Information ◽  
Transfer Method

In general, there are two methods to pass on design information in a petrochemical plant design: the manual data key-in method and the file data transfer method. The manual data key-in method is a basic method to pass on data; but this method is time consuming to assign data in one by one fashion. The file data transfer method is a mapping file data from one program to another program under certain specific function and criteria. This paper starts with how to use a file data transfer method to create a stress analysis model, and then proposes an approach to transfer the stress analysis result to a structural analysis program by using the Pipe Loadings Transfer Program. In a piping design using 3D plant design software for modeling, the piping design information can be directly transferred to the stress input file by using point vectors to create a stress analysis model. The concepts of a pipe support vector and a beam vector were introduced to transfer the pipe loadings from stress analysis results to a structural analysis program. The advantages of using a file data transfer method are simple, fast, and accurate.

The End-to-End Computer Simulation of Casting and Subsequent Metal Forming

2016 ◽  
Vol 685 ◽  
pp. 167-171 ◽  
Author(s):  
Yaroslav Erisov ◽  
Sergey Surudin ◽  
Aleksey Shlyapugin ◽  
Fedor Grechnikov
Keyword(s):  
Computer Simulation ◽  
Residual Stresses ◽  
Metal Forming ◽  
Data Transfer ◽  
End To End ◽  
Transfer Method ◽  
Deform 3D

The paper presents the software and data transfer method between ProCAST and Deform-3D, which allow to take into account the geometry, temperature, residual stresses and microstructure of semi-finished product in the “casting – forming” processes.

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