The Software Design of the Intelligent Lappet Loom

2014 ◽  
Vol 610 ◽  
pp. 552-555
Author(s):  
Min Yuan Zhao ◽  
Yi Ping Shi

This article introduces the software system of the intelligent lappet loom. Its structure and implementation are discussed in detail. The purpose of the system is to provide a data management platform for fabric designers. The pattern simulation and the transmission of the design data are implemented. The proposed system can help fabric designers to work more efficiently, so that the cycle of fabric development is shortened and then the cost of fabric production is decreased.

2018 ◽  
Vol 52 (3) ◽  
pp. 28-32 ◽  
Author(s):  
Chris Turner ◽  
Ian Gill

AbstractThe management of oceanographic data is particularly challenging given the variety of protocols for the analysis of data collection and model output, the vast range of environmental conditions studied, and the potentially enormous extent and volume of the resulting data sets and model results. Here, we describe the Research Workspace (the Workspace), a web platform designed around data management best practices to meet the challenges of managing oceanographic data throughout the research life cycle. The Workspace features secure user accounts and automatic file versioning to assist with the early stages of project planning and data collection. Jupyter Notebooks have been integrated into the Workspace to support reproducible numerical analysis and data visualization while making use of high-performance computer resources collocated with data assets. An ISO-compliant metadata editor has also been integrated into the Workspace to support data synthesis, publication, and reuse. The Workspace currently supports stakeholders across the ocean science community, from funding agencies to individual investigators, by providing a data management platform to meet the needs of big ocean data.


2020 ◽  
Vol 14 ◽  
Author(s):  
Mikkel Elle Lepperød ◽  
Svenn-Arne Dragly ◽  
Alessio Paolo Buccino ◽  
Milad Hobbi Mobarhan ◽  
Anders Malthe-Sørenssen ◽  
...  

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