In this section, we have described the architecture of our proposed CAT platform and have introduced a prototypical implementation to be used as a stand-alone implementation for IRT-based testing of dichotomous items.
As noted by [10], 'The model is not meant to replace detailed engineering analyses of grid rollout, including load-flow analysis, which would be needed as part of the implementation process, so it cannot be used as a stand-alone implementation tool'.
The latter predictions are performed using methods chosen based on two criteria: (i) their quality is comparable to the leading relevant predictors; and (ii) they provide a stand-alone implementation that could be utilized to build an autonomous implementation of the proposed disorder predictor.
Nevertheless, Auto GMM-SAMT can keep up with the stand alone implementation of GMM-SAMT.
The Recall and Precision scores confirm the impression of the visual inspection since for all test sequences Auto GMM-SAMT exceeds the standard mean shift method; see Tables 3 and 4. By taking a look at the scores in Tables 3 and 4, one also recognizes that Auto GMM-SAMT keeps up with the stand alone implementation of GMM-SAMT.
The hardware implementation of a stand alone H.264 q-pel MC on FPGA has shown speeds between 95.9 fps for HD1080p frames, 229 fps for HD 720p and between 2502 and 12623 fps for CIF and QCIF formats.
This enables the efficient iterative computational implementation of the HFGMC as a stand alone.
In this paper, the design, the implementation, and the metrological characterization of a microcontroller-based prototype conceived as a stand alone instrument to be used for in vivo clinical applications are presented.
Will it be a stand alone unit?
Conclusion: A successful implementation of VM systems in routine tissue-based diagnosis requires communicative management systems as long as VM is considered to be a "stand alone system" that just mimics a conventional microscope.
In this paper, we present an open source stand-alone implementation of the 2D discrete shearlet transform using CUDA C++ as well as GPU-accelerated MATLAB implementations of the 2D and 3D shearlet transforms.
