This paper presents the investigation of convolutional neural network (CNN) prediction successfully recognizing temperature nonequilibrium phase transitions in two-dimensional (2D) Ising spins on a square lattice. The model uses image snapshots ferromagnetic 2D spin configurations as an input shape to provide average output predictions. By considering supervised machine learning techniques, we ...

We analyze measures of the azimuthal asymmetry, in particular the participant harmonic moments, ε∗, in a variety of Glauber-like models for the early stage of collisions at RHIC. Quantitative comparisons indicate substantial model dependence for ε∗, reflecting different effective number of sources, while the dependence of the scaled standard deviation σ(ε∗)/ε∗ on the particular Glauber model is...

A quantile summary is a data structure that approximates to ε-relative error the order statistics of a much larger underlying dataset. In this paper we develop a randomized online quantile summary for the cash register data input model and comparison data domain model that uses O( ε log 1 ε ) words of memory. This improves upon the previous best upper bound of O( ε log 3/2 1 ε ) by Agarwal et a...

A quantile summary is a data structure that approximates to ε-relative error the order statistics of a much larger underlying dataset. In this paper we develop a randomized online quantile summary for the cash register data input model and comparison data domain model that uses O( ε log 1 ε ) words of memory. This improves upon the previous best upper bound of O( ε log 3/2 1 ε ) by Agarwal et a...

A quantile summary is a data structure that approximates to ε error the order statistics of a much larger underlying dataset. In this paper we develop a randomized online quantile summary for the cash register data input model and comparison data domain model that uses O((1/ε) log(1/ε)) words of memory. This improves upon the previous best upper bound of O((1/ε) log3/2(1/ε)) by Agarwal et al. (...

A quantile summary is a data structure that approximates to ε-relative error the order statistics of a much larger underlying dataset. In this paper we develop a randomized online quantile summary for the cash register data input model and comparison data domain model that uses O( 1 ε log 1 ε ) words of memory. This improves upon the previous best upper bound of O( 1 ε log 1 ε ) by Agarwal et. ...

Characteristics of rotor blade tip clearance flow in axial compressors can significantly affect their performance and stable operation. It may also increase blade vibrations and cause detrimental noises. Therefore, this paper is contributed to investigate tip leakage flow in a low speed isolated axial compressor rotor blades row. Simulations are carried out on near-stall condition, which is val...

We discuss the supersymmetric contribution to ε ′ /ε in various supersymmetric flavor models. We find that in alignment models the supersymmetric contribution could be significant while in heavy squark models it is expected to be small. The situation is particularly interesting in models that solve the flavor problems by either of the above mechanisms and the remaining CP problems by means of a...