Abstract: A system for ultraviolet irradiation of objects and a method of using this system is disclosed. The system includes: an illuminating device positioned in a center section of an octagon shaped a base area and including one or more elongated light sources, each emitting ultraviolet light given by shortwave ultraviolet light (UV-C light) and extending in parallel to a normal on the base area; a set of rotatable mesh grids arranged around the base area such that the mesh grids surround the illuminating device and configured to be equipped with the objects; and a set of reflectors including a set of movable side reflectors, wherein the reflectors are configured to be arranged such, that they form a resonator surrounding the mesh grids surrounding the illuminating device.

Abstract: A method for optimizing performance analysis of a plurality of network hosts associated with a communications network includes aggregating captured network performance data including a plurality of captured network performance metrics for a plurality of network flows. Each one of the plurality of network flows is associated with a plurality of network hosts. The aggregated captured network performance data is encoded by employing at least one data modification function. Dimensionality of the encoded captured network performance data is reduced using a neural network model. One or more reduced-dimensional clusters of the encoded captured network performance data are generated. Each of the one or more reduced-dimensional clusters is grouping one or more hosts of the plurality of network hosts based on the captured network performance metrics.

Abstract: A method for optimizing performance analysis of a plurality of network hosts associated with a communications network includes aggregating captured network performance data including a plurality of captured network performance metrics for a plurality of network flows. Each one of the plurality of network flows is associated with a plurality of network hosts. The aggregated captured network performance data is encoded by employing at least one data modification function. Dimensionality of the encoded captured network performance data is reduced using a neural network model. One or more reduced-dimensional clusters of the encoded captured network performance data are generated. Each of the one or more reduced-dimensional clusters is grouping one or more hosts of the plurality of network hosts based on the captured network performance metrics.