Download API RP 2A-LRFD Recommended Practice for Planning, Designing by American Petroleum Institute PDF

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In: Proc. EuroSys 2012 (2012) 21. : Numerical vs. Statistical Probablistic Model Checking. J. STTT 8(3), 216–228 (2006) 22. : ADEL: An Automatic Detector of Engery Leaks for Smartphone Applications. In: Proc. CODES+ISSS 2012 (2012) UNISENSE: A Unified and Sustainable Sensing and Transport Architecture for Large Scale and Heterogeneous Sensor Networks Yunye Jin and Hwee Pink Tan Abstract. In this paper, we propose UNISENSE, a unified and sustainable sensing and transport architecture for large scale and heterogeneous sensor networks.

Moreover, such testbeds usually incorporate a dedicated management and evaluation sub-infrastructure, which incurs high hardware cost. In contrast, the UNISENSE NM component manages the network infrastructure in an in-network manner with minimum extra hardware and overhead. To the best of our knowledge, the UNISENSE architecture is the first to have a dedicated machine learning component (DS). The learning capability enables outlier and anomaly detection, missing data recovery, and mining for actionable insights, which brings our infrastructure closer to real world applications.

This is because in many situations, such as daylight simulation, one can save the (complex) output data of a simulation run to allow the evaluation of a different objective function relying on the already available output data. In this way, we quickly obtain a model of the modified performance criterion, and can hot-start the optimization method to converge much faster than restarting from scratch. These two aspects at least partially address an important criticism of optimization methods in the architectural design field: optimization has to rely on pre-defined performance criteria and is thus difficult to integrate into complex design processes with shifting performance criteria.

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