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Some of these include your current medical status, body frame, weight history, current food intake, and eating patterns, just to name a few.
This selection is carried out such that design constraints imposed by the LRFD are satisfied and the minimum frame weight is obtained.
This paper investigates the effect of such deflection limits using a real-coded niching genetic algorithm (RC-NGA) that optimizes frame weight, taking into account both ultimate as well as serviceability limit states.
Analyses of example frames indicate that consideration of the rotational stiffness of the pinned connections reduces frame deflections between 11 and 67% and has the potential to make metal building systems more economical by decreasing the frame weight between 0 and 12%, which is considered a substantial cost saving for the metal building industry where profit margins are relatively low.
Similar analysis, in terms of allowable stresses, as was common practice at the time, would lead to lateral resistance of 5%% of the frame weight (Carvalho et al. 1999).
Tracking parameters for detection were set as follows: detection set to subject brighter than background and brightness contrast from 20 to 255; current frame weight set to 15; video sample rate set to 15 frames/seconds, and pixel smoothing turned off.
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For the 60-story frame, optimum designs from ensemble of independent runs produce frame weights within 2% of results found using deterministic methods, with some only addressing serviceability (drift) requirements.
It is demonstrated that for a 50 m span frame, use of the SCI recommended deflection limits can lead to frame weights that are around twice as heavy as compared to designs without these limits.
Furthermore, frame weighting algorithms or techniques like super-resolution are conceivable to take advantage of temporal information in video sequences.
This methodology uses the data set itself to estimate per frame weights based on fitting relative B-factors to reconstructions from individual frames.
However the most recent detailed description of dual frame weighting available in Australia from the Dual-frame Omnibus Survey conducted in 2012 did not need to deal with disproportionate stratification of the landline frame, data needing to be collected about children as well as adults, and how to apply an overlap adjustment [ 8].
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