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A battering ram was used to knock down the locked front door.
For the computations, a high-performance computer with two Intel Xeon X5690 processors, 12 threads, 3.46 GHz, 6.4 GT/s and 192 GB RAM was used.
A personal laptop equipped with an Intel® Core™ i3 CPU at 2.4 GHz and 6 GB of RAM was used to process the data.
The execution took 65,350 seconds, and in average 70 cores were used (out of 512) and only 2% RAM was used (15 GB of the 768 GB) due to the very little dimensions of each tile.
In a further example, RAM was used in Pretoria, South Africa, to understand drug use and associated health and systemic risks, such as unprotected sex, violence, rape and tattooing with contaminated equipment (dos Santos et al. 2014).
An additional node (had six vCPUs and 40 GB RAM) was used for simulating a Twitter data source, which utilized Netcat for streaming of tweets using a TCP connection.
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The proposed algorithm is implemented with the use of the Java programming language, and a personal computer with Intel® Pentium® processor (2M cache, 2 GHz; Santa Clara, CA, USA), 32-bit Windows 7 Ultimate operating system (Microsoft Corporation, Redmond, WA, USA), and 2-GB installed memory (RAM) is used to achieve all of the results.
A double acting hydraulic ram is used as an application example.
The readily available images of 512 × 512 size, 7 × 7 window size, MATLAB program, CPU of 1.73 GHz, and 1 GB RAM are used in the simulation experiments.
Afterwards, a range-adjusted measure (RAM) is used as a data envelopment analysis (DEA) model for ranking the simulation results and finding the optimal layout design.
A second experimental hydraulic ram is used to create a wide range of in-flight operating conditions by replicating the aerodynamic load disturbance that is transmitted through the control surface hinge during flight maneuvers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com