Talking with computers—a quality control application

1987 ◽  
pp. 97-105
Author(s):  
G. E. Cassford
Keyword(s):  
Quality Control ◽  
Control Application

scholarly journals Comparison of 36 assisted reproduction laboratories monitoring environmental conditions and instrument parameters using the same quality-control application

2019 ◽  
Vol 39 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Giles A Palmer ◽  
Caroline Kratka ◽  
Sarah Szvetecz ◽  
Geraldine Fiser ◽  
Stephen Fiser ◽  
...  
Keyword(s):  
Quality Control ◽  
Assisted Reproduction ◽  
Environmental Conditions ◽  
Control Application

Sensor-based Remote Quality Control Application in Automotive Components Assembly

2010 ◽  
Vol 18 (2) ◽  
pp. 141-155 ◽  
Author(s):  
Yongjin Kwon ◽  
Yongmin Park ◽  
Jungwan Hong ◽  
Sang C. Park
Keyword(s):  
Quality Control ◽  
Automotive Components ◽  
Control Application

Non-invasive hyperspectral imaging approach for fruit quality control application and classification: case study of apple, chikoo, guava fruits

2015 ◽  
Vol 52 (11) ◽  
pp. 6978-6989 ◽  
Author(s):  
N. T. Vetrekar ◽  
R. S. Gad ◽  
I. Fernandes ◽  
J. S. Parab ◽  
A. R. Desai ◽  
...  
Keyword(s):  
Quality Control ◽  
Hyperspectral Imaging ◽  
Fruit Quality ◽  
Non Invasive ◽  
Imaging Approach ◽  
Control Application

scholarly journals An Improved Singularity Analysis for ASCAT Wind Quality Control: Application to Low Winds

2016 ◽  
Vol 54 (7) ◽  
pp. 3890-3898 ◽  
Author(s):  
Wenming Lin ◽  
Marcos Portabella ◽  
Antonio Turiel ◽  
Ad Stoffelen ◽  
Anton Verhoef
Keyword(s):  
Quality Control ◽  
Singularity Analysis ◽  
Control Application

Minerals Inventory as a part of Mineral Intelligence for Europe

2020 ◽  
Author(s):  
Špela Kumelj ◽  
Andrej Vihtelič ◽  
Katarina Hribernik ◽  
Jernej Bavdek
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Mineral Resources ◽  
Secondary Mineral ◽  
Technical Errors ◽  
Spatial Coverage ◽  
Data Gaps ◽  
Reported Data ◽  
Control Application ◽  
Subsequent Task

<p>A significant task of the Mintell4EU project is to improve the quality and spatial coverage of the European inventory of primary and secondary mineral resources. The process of refining the minerals inventory that is currently within the Minerals4EU (M4EU) database includes (a) identification of data gaps in spatial coverage, (b) setting up the quality control application to identify gaps and errors in data, (c) identification of technical errors in the process of harvesting data and (d) establishing connections with other relevant projects.</p><p>After almost 2 years, the spatial coverage of the minerals inventory is extended with data from Western Balkan countries in cooperation with the RESEERVE project and new or modified data from existing data providers are available. Besides, a Mintell4EU Quality Control Application (QCA) was developed to visually check the latest reported data from data providers. Related to this, a harvesting system for collecting and validating mineral resources data is being established and improved access to raw materials data technical routines intervening during the harvesting phase are being implemented to ensure a rigorous control of the data quality.</p><p>The subsequent task is to enable new data providers to deliver data in a harmonized way to ensure consistency in the way data is displayed. In order to achieve this in the best way possible, a workshop will be held in Ljubljana in May 2020, drawing on experiences from REESERVE and from guidelines developed by the ORAMA project.</p>

scholarly journals A paperless based methodology for managing Quality Control. Application to a I+D+i Supplier Company

2017 ◽  
Vol 13 ◽  
pp. 1066-1073 ◽  
Author(s):  
P.J. Astola ◽  
P. Rodríguez ◽  
J. Botana ◽  
M. Marcos
Keyword(s):  
Quality Control ◽  
Control Application
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