scholarly journals Reinforcing Random Testing of Arithmetic Optimization of C Compilers by Scaling up Size and Number of Expressions

2014 ◽  
Vol 7 (0) ◽  
pp. 91-100 ◽  
Author(s):  
Eriko Nagai ◽  
Atsushi Hashimoto ◽  
Nagisa Ishiura
Keyword(s):  
2020 ◽  
Vol 63 (1) ◽  
pp. 21-34
Author(s):  
Alexander Steinwolf

Abstract The fatigue damage spectrum (FDS) model characterizes how the damage potential is distributed over the excitation frequency range, similarly to how the power spectral density (PSD) characterizes the distribution of the excitation level. However, reproducing the operational PSD during in-house shaker testing does not necessarily mean that the FDS would be also reproduced because some unusually distinctive peaks, higher than those in a signal generated from the PSD, occur in vibrations of automobiles and railway vehicles. Presence of these peaks in real operational vibrations and their absence in the PSD-based random testing is the reason why the shaker testing FDS obtained by the ordinary PSD control is different in shape and usually lies below the operational FDS. It is shown in this paper that the FDS shape as a function of frequency can be controlled by manipulating some of the IFFT phases instead of making all of them random. Since the phase manipulation does not affect the excitation PSD, the FDS and the PSD can be controlled simultaneously, which is demonstrated for an example of operational vibrations of an automobile. This new concept of shaker testing with the PSD+FDS control can also be used for accelerated testing when the FDS target needs to be artificially increased. It can be done without scaling up the PSD, thereby avoiding concerns about the test exaggeration factor being too high.


2012 ◽  
Vol 2 (2) ◽  
pp. 72-81
Author(s):  
Christina M. Rudin-Brown ◽  
Eve Mitsopoulos-Rubens ◽  
Michael G. Lenné

Random testing for alcohol and other drugs (AODs) in individuals who perform safety-sensitive activities as part of their aviation role was introduced in Australia in April 2009. One year later, an online survey (N = 2,226) was conducted to investigate attitudes, behaviors, and knowledge regarding random testing and to gauge perceptions regarding its effectiveness. Private, recreational, and student pilots were less likely than industry personnel to report being aware of the requirement (86.5% versus 97.1%), to have undergone testing (76.5% versus 96.1%), and to know of others who had undergone testing (39.9% versus 84.3%), and they had more positive attitudes toward random testing than industry personnel. However, logistic regression analyses indicated that random testing is more effective at deterring AOD use among industry personnel.


Author(s):  
Bryan Howell ◽  
Curt Anderson ◽  
Nile Hatch ◽  
Chia-Chi TENG; ◽  
Neal Bangerter ◽  
...  

Over that last few decades there has been a significant rise in interest for design-led entrepreneurship and innovation. This has brought about the need to expand on the principles and methods of human-centred design by incorporating knowledge from multiple disciplines, such as management, business, and entrepreneurship studies. This expansion aids designers, engineers, and marketing practitioners who strive to create innovative, meaningful and relevant services, business models and experiences. More often than not, ventures operate under very limited resources, and practitioners are often required to fulfil several roles. The concept of ‘multidisciplinary teams’ widely spread in this sphere often bears little resonance in these contexts. Designers possess valuable competencies that can have a significant impact on the venture, especially driving user and context-centred strategy and processes for the introduction, legitimization and scaling-up stages. However, engaging with these areas of practice requires skills and capacities that overlap traditional disciplinary roles. In doing so, the boundaries between design and engineering, branding and communications, cultural and behavioural insight, marketing and management strategy are blurred. As educators in design innovation, how do we explore, define and balance interdisciplinary relationships between design, engineering, management, business and entrepreneurship theories, methods, language and models of education? The purpose of the entrepreneurship in design education track is to discuss methods, models, case studies, research, insights and unexpected knowledge in benefits and limitations of design entrepreneurship education. In particular, the three papers presented in this track demonstrate different approaches to entrepreneurship and design education.


2020 ◽  
Vol 29 (2) ◽  
Author(s):  
Alcantara Carmona ◽  
Perez Redondo ◽  
E Coll ◽  
B Dominguez ◽  
Rubio Munoz
Keyword(s):  

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