scholarly journals Commodity risk assessment of oak logs with bark from the US for the oak wilt pathogen Bretziella fagacearum under an integrated systems approach

EFSA Journal ◽  
2020 ◽  
Vol 18 (12) ◽  
Author(s):  
◽  
Claude Bragard ◽  
Katharina Dehnen‐Schmutz ◽  
Francesco Di Serio ◽  
Marie‐Agnès Jacques ◽  
...  
Author(s):  
Spyros Schismenos ◽  
Garry J. Stevens ◽  
Dimitrios Emmanouloudis ◽  
Nichole Georgeou ◽  
Surendra Shrestha ◽  
...  

2013 ◽  
Vol 5 (480) ◽  
pp. 39 ◽  
Author(s):  
Gilles MOREL ◽  
Fernando Rodrigues LIMA ◽  
Hipolito MARTELL-FLORES ◽  
Francois HISSEL

Author(s):  
Michael D. Ladd

Worker safety is an issue of major concern worldwide. Evidence to this fact is noted with recent efforts to harmonize US machine safety standards with that of the European Machinery Directive. Changes to the US standards have a dramatic affect on new equipment design. Additionally, older machinery that is still in use must now be upgraded to meet these new requirements. In other words, the end user must now follow the same standards as new equipment manufacturers. Paper published with permission.


Author(s):  
Sanjeevi Chitikeshi ◽  
Ajay Mahajan ◽  
Pavan Bandhil ◽  
Lucas Utterbach ◽  
Fernanado Figueroa

This paper proposes the development of intelligent sensors as an integrated systems approach, i.e. one treats the sensors as a complete system with its own sensing hardware (the traditional sensor), A/D converters, processing and storage capabilities, software drivers, self-assessment algorithms, communication protocols and evolutionary methodologies that allow them to get better with time. Under a project being undertaken at the Stennis Space Center, an integrated framework is being developed for the intelligent monitoring of smart elements. These smart elements can be sensors, actuators or other devices. The immediate application is the monitoring of the rocket test stands, but the technology should be generally applicable to the Intelligent Systems Health Monitoring (ISHM) vision. This paper outlines progress made in the development of intelligent sensors by describing the work done till date on Physical Intelligent Sensors (PIS) and Virtual Intelligent Sensors (VIS).


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