Hexagonal discrete global grid systems are the preferred data models supporting multisource geospatial information fusion.Related research has aroused widespread concern in the academic community, and hierarchical indexing algorithms are one of the main research focuses.In this paper, we propose an algorithm for indexing the cell of a ringed spatia
Improving PV Resilience by Dynamic Reconfiguration in Distribution Grids: Problem Complexity and Computation Requirements
The dissemination of low-carbon technologies, such as urban photovoltaic distributed generation, imposes new challenges to the operation of distribution grids.Distributed generation may introduce rme ufx iii significant net-load asymmetries between feeders in the course of the day, resulting in higher losses.The dynamic reconfiguration of the grid
An analytical analysis for the mechanical performance of fully-grouted rockbolts based on the exponential softening model
This paper presented a novel bond-slip model to better reveal the mechanical behavior of the bolt-grout interface for fully-grouted rockbolts under tensile loads by considering the pycom expansion board 2.0 non-linear response in the softening stage.The exponential decay function is adopted for describing the non-linear response in the softening st
Data-Enabled Prediction Framework of Dynamic Characteristics of Rural Footbridges Using Novel Citizen Sensing Approach
Rural footbridges have proved to be an impetus for growth in vulnerable areas of the developing world, increasingly being built in many isolated communities around continents.Yet, little prior assessment of their dynamic characteristics had been made due to the non-traditional constraints motiv thrill pink yellow that arise from instrumenting footb
Volatility Timing in the Vietnamese Stock Market
In this paper, we evaluate the economic value caruso rhodiola that arise from incorporating conditional volatility when forecasting the covariance matrix of returns for both short and long horizons in the Vietnamese stock market, using the volatility timing framework of Fleming et al.(2001).We report three main findings.First, investors are willing