Consequently, we believe that performance-based highway design considering data obtained from vehicle detectors is possible by considering interurban accessibility as the performance measure.
Therefore, in this paper, we propose, design and implement a high performance FPGA-based data stream mining system to perform real-time radar signal sorting on continuous data stream.
Yet, accessing and using situational and performance based data continues to be a challenge.
This strategy is enriched by a broad range of secondary outcomes that rely on proxy ratings, performance-based measures, and self-report data based on answering formats that are simplified as much as possible without questioning the reliable and valid assessment of study variables.
When a set of tracks is selected with this tool, the associated database tables and ancillary files are downloaded into the virtual machine with the high-performance UDP-based Data Transfer protocol (Gu, 2007).
Data will be merged with data from the previous Ullensaker study, national registries, and with the data from the comprehensive clinical examination, which include several imaging techniques, patient-reported outcome measurements, performance-based tests, cardiovascular morbidity, and data on metabolic syndrome.
Furthermore, in the development of analytical models for performance-based design, calibration against test data representative of actual conditions in practice is required.
Incremental dynamic time history analyses have been performed to assess the dynamic behavior of the retrofitted bents and to generate required data for performance-based evaluations.
In comparison with the evacuation time and simulation result of two evacuation situations by theoretical calculation we can conclude a more accurate time necessary for safety evacuation to provide more reliable data for subway performance-based fire-protection design.
