Experimental Methodology Sample Clauses

Experimental Methodology. 3.1.1.1. Participants 30 participants were recruited through email lists, social media posts and subsequent ‘word of mouth’. All participants have been or are currently being educated at a university-degree level, and none have had any formal training directly related to visual inspection.
Sample 1
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Experimental Methodology. We use GridSim [7] to simulate a cluster RMS environ- ment that utilizes LibraSLA for resource allocation. Our experiments employ real workload trace from Xxxxxxxxx’x Parallel Workload Archive [4]. The selected subset of the last 1000 jobs in the SDSC SP2 trace from April 1998 to April 2000 has the following properties: • Average inter arrival time: 2276 seconds (37.93 min- 13 14 15 16 else 18 19 increase share of job with the highest return by remaining unallocated processor time;
Sample 1
Experimental Methodology. The reviewed studies provided information also on the following topics: • Size of the study (vehicles employed and duration), • Vehicle ownership and installation of instrumentation, • Participant characteristics, • Data storage, and • Data analysis. Size of the study: the number of vehicles used for the naturalistic studies is not always specified. However 100 vehicles were used in “The 100-car naturalistic driving study” and 55 trucks in the “Driver distraction in commercial operations”. Vehicle ownership and installation of instrumentation: in all studies the vehicles were owned by the drivers or their companies, and in no case by the research institutes. The drivers’ vehicle ownership requires a specific attention to the installation of the instrumentation with an accurate planning and a strict methodological approach since: • Drivers use their vehicles daily and a long installation time is not acceptable to them; • The installation cannot require structural modification of the vehicles as also a de-installation must be performed to restore the status quo. In addition, to simplify the installation procedures, the vehicle choice must be limited to a few makes and models. Participant characteristics: little information was found about this in the previous studies. The most important statement is from “The 100-car naturalistic driving study” where the recruitment strategy was to look for drivers with a risk exposure above the average. The practical implementation was to select drivers with high yearly mileage and young drivers. Extreme drivers (very safe or very unsafe) were eliminated from the selection process. Data storage: all research that addressed this topic, pointed out the necessity to use a fail safe procedure for data storage (and download). A minimum requirement of two copies for the raw data must exist until data processing. Afterwards a single copy of raw data is acceptable in parallel to a database of processed data (e.g. database of events or of behaviours). Data analysis: typical data analysis includes the review of raw data to identify relevant events or/and behaviours (data reduction) and subsequent analysis for calculation of various indexes. In case video data is complemented by other signals, automatic triggers for a pre-screening of the events is possible, although a manual review is always necessary. A typical record of a relevant event/behaviour includes both signals prior and posterior to the main matter. The time repartition is ...
Sample 1

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