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Since the encoder knows the rate and distortion characteristics of the frames, it can send them to the users with a very little overhead, since this information amounts to a few bytes per frame.
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The strain energy characteristics of the frame induced by the moving force are investigated as well.
The identification of modal characteristics of the frame (linear part) is based on an experimental investigation of its dynamic response.
The geometric characteristics of the frame, the cross section dimensions and the reinforcement detailing of the columns and beam are presented in Fig. 7.
Firstly, a parameter called as 'irregularity index' is proposed based on the dynamic characteristics of the frame to quantify the setback irregularity.
A prototype three-story steel dual-core self-centering braced frame (DC-SCBF) was designed, and its full-scale first-story one-bay DC-SCBF was tested to (1) validate the system response, (2) study force distributions in framing members as damage progresses in the DC-SCB, beam or columns, and (3) investigate the repair and replacement characteristics of the frame.
To investigate (1) hysteretic damping effect of nonlinear connection stiffness and (2) the influence of input acceleration amplitude and vibration frequency on dynamic response characteristics of the frame, dynamic analyses for steel frame are performed by inputting sinusoidal acceleration waves at the basement.
Features based on 3D STV consider not only the spatial characteristics of the individual frames, but also their temporal variation over video frames.
Particular emphasis was placed on the influence of the masonry materials and aspect ratio of infill walls on the hysteretic characteristics of the infilled frames.
Depending on the composite characteristics of the infilled frames, different elements are required in the model as for example beam or continuum elements for the surrounding frame, continuous elements for the infill panels and interface elements for representing the interaction between the frame and the panel.
This may be attributed to the fact that the KL divergence measures the difference between GMM distributions but not directly the difference between feature vectors, whereas the LLR distance contrasts the likelihood scores of two sets of GMMs for each test frame, and therefore it reflects the characteristics of the test frame more closely.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com