A simple secondary standard radiation thermometer for use in industrial standards laboratories

Measurement ◽  
1988 ◽  
Vol 6 (3) ◽  
pp. 98-101 ◽  
Author(s):  
M.E. Brown
2018 ◽  
Vol 1065 ◽  
pp. 122009
Author(s):  
Beni Adi Trisna ◽  
Suherlan ◽  
Asep Hapiddin ◽  
Helmi Zaini ◽  
Hidayat Wiriadinata ◽  
...  

2008 ◽  
Vol 29 (1) ◽  
pp. 330-340 ◽  
Author(s):  
B. Gutschwager ◽  
J. Hollandt ◽  
T. Jankowski ◽  
R. Gärtner

2014 ◽  
Vol 35 (3-4) ◽  
pp. 493-503 ◽  
Author(s):  
J. M. Mantilla ◽  
M. L. Hernanz ◽  
J. Campos ◽  
M. J. Martín ◽  
A. Pons ◽  
...  

2011 ◽  
Vol 314-316 ◽  
pp. 273-278
Author(s):  
Yu Hua Dong ◽  
Ke Ren ◽  
Qiong Zhou

Linear low density polyethylene (LLDPE) was chemically modified with grafting maleic anhydride (MAH) monomer on its backbone by melting blending. Nano-particles SiO2 was modified by cationic surfactant hexadecyl trimethyl ammonium bromide (CTAB) and anionic surfactant sulfosalicylic acid (SSA) and added to PE coating respectively. Measurement of membrane potential showed that the coating containing modified SiO2 nano-particles had characteristic of ion selectivity. The properties of the different coatings were investigated according to relative industrial standards. Experimental results indicated that PE coating with ion selectivity had better performances, such as adhesion strength, cathodic disbonding and anti-corrosion, than those of coating without ion selectivity. Crystal structure of the coatings before and after alkali corrosion was characterized by Fourier transform infrared spectra (FTIR) and X-ray diffraction (XRD). Structure of the coating without ion selectivity was damaged by NaOH alkali solution, causing mechanical properties being decreased. And the structure of the ion selective coatings was not affected.


Cybersecurity ◽  
2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Tiago Espinha Gasiba ◽  
Ulrike Lechner ◽  
Maria Pinto-Albuquerque

AbstractSoftware vulnerabilities, when actively exploited by malicious parties, can lead to catastrophic consequences. Proper handling of software vulnerabilities is essential in the industrial context, particularly when the software is deployed in critical infrastructures. Therefore, several industrial standards mandate secure coding guidelines and industrial software developers’ training, as software quality is a significant contributor to secure software. CyberSecurity Challenges (CSC) form a method that combines serious game techniques with cybersecurity and secure coding guidelines to raise secure coding awareness of software developers in the industry. These cybersecurity awareness events have been used with success in industrial environments. However, until now, these coached events took place on-site. In the present work, we briefly introduce cybersecurity challenges and propose a novel platform that allows these events to take place online. The introduced cybersecurity awareness platform, which the authors call Sifu, performs automatic assessment of challenges in compliance to secure coding guidelines, and uses an artificial intelligence method to provide players with solution-guiding hints. Furthermore, due to its characteristics, the Sifu platform allows for remote (online) learning, in times of social distancing. The CyberSecurity Challenges events based on the Sifu platform were evaluated during four online real-life CSC events. We report on three surveys showing that the Sifu platform’s CSC events are adequate to raise industry software developers awareness on secure coding.


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