In this paper, we propose a machine learning methodology for prediction of signaling sessions established with the Session Initiation Protocol (SIP).Given the increasing importance of predicting and detecting abnormal Glucose Products sequences of SIP messages to avoid SIP signaling-based attacks, we first propose a Bayesian inference method capabl
Liquid marbles are droplets encapsulated by a layer of hydrophobic nanoparticles and have been extensively employed in digital microfluidics and lab-on-a-chip systems in recent years.In this study, magnetic liquid marbles were used to manipulate nonmagnetic liquid marbles.To achieve this purpose, a ferrofluid liquid marble (FLM) was employed and at
This research presents a wind tunnel experiment for investigating three-dimensional flows in the vicinity of a blade in a Horizontal Axis Wind Turbine (HAWT) model.Though the design of the wind turbine blade has been recognized as a modern advance, most of them are based on two-dimensional sectional performance analyses.However, the actual flow aro
This paper propose a finger vein recognition algorithm based on the CapsNets(Capsule Network for short) to solve the problem of the information loss of the finger vein in the Convolution Neural Network(CNN).The CapsNets is transferred from the bottom to the high level in the form of capsule in the whole learning process, so that the multidimensiona
The subject.The article is devoted to the study of the trinity of properties of constitutional principles.The purpose of the article is to confirm the hypothesis that constitutional principles, often perceived by researchers and law enforcement officials as abstract norms with declarative content, are in fact full-fledged legal institutions that ar