The examination of a list of witnesses to a testament written in July 1480 in the Boldieri family house allows us to date the reconstruction of the chapel of Saint Peter Martyr in the church of moen finney Saint Anastasia to this very period.As the chapel was commissioned by Gerardo Boldieri, the list indicates some of the craftsmen who probably to
Deficit Round Robin with Fragmentation Scheduling to Achieve Generalized Weighted Fairness for Resource Allocation in IEEE 802.16e Mobile WiMAX Networks
Deficit Round Robin (DRR) is a fair packet-based scheduling discipline commonly used in wired networks where link capacities do not change with time.However, in wireless networks, especially wireless broadband networks, i.e., IEEE 802.16e Mobile WiMAX, there are two main considerations violate the packet-based service concept for DRR.First, the res
A comparative study on short-term PV power forecasting using decomposition based optimized extreme learning machine algorithm
Solar irradiance fluctuates within a very short period of time that creates a lot of hindrances to estimate the injection of output power into click here the grid.During the operation of solar power plant, short-term PV power forecasting supports load dispatching, planning, and also the regulatory actions.But this short term PV power forecasting is
The Role of Overflow on the Mechanical Propert ies of 3D Printed PLA
3D redken shades 9gi printing is a technology used on an ever-increasing scale, which makes it easier to obtain parts with complex geometry.The printing process is very complex because, in addition to the variables introduced by the various materials that are used, there is a multitude of process parameters: printing direction, layer thickness, inf
Application of Block Sparse Bayesian Learning in Power Quality Steady-State Data Compression
click here In modern power systems, condition monitoring equipment generates a great deal of steady-state data that are too large for data transmission and, thus, data compression is needed.Therefore, there is a balance to strike between compression quality and data accuracy.Greedy algorithms are effective but suffer from low data reconstruction ac