As security threats are increasingly diversified, a critical problem in Wireless Sensor Network environments (WSNs) is detecting anomalies. WSNs affected by several limitations, such as limited energy, insufficient memory, weak computation power, and short communication range. Hence, it necessary to improve the detection accuracy convergence speed of intrusion environments. In this article, we ...

This paper studies how the Trans-Pacific region affects the US economy in terms of business cycle transmission. We use a large dataset consisting of disaggregated sectoral industrial production indexes from selected countries in the region and employ a factoraugmented vector autoregression (FAVAR) approach to analyze the transmission of shocks in different industries. We find that a positive ou...

This paper studies a modified Chinese Taylor’s rule with money supply growth rate as the intermediate target. We develop survey data to measure the expected inflation and use the real marginal cost as a proxy for the output gap. The Markov regime switching model, the TVP model and the split sample OLS estimation are employed to estimate the changing coefficients of the monetary reaction functio...

Social Media Agendas of Political Parties Versus TV News Services in the Parliamentary Election Campaign 2019 The presented article concerns convergence symbolic political agendas selected entities (coalitions) (PiS-ZP, PO-KO) and broadcasters (Wiadomości TVP, Fakty TVN), social media, parliamentary campaign 2019. Theses concerning overlapping media PiS-ZP TVP PO-KO TVN thematic aspect were for...

This note is concerned with the essential part of Finite Element Methods (FEM) approximation error analysis for quasi-Newtonian modelling thixo-viscoplastic (TVP) flow problems. The developed FEM settings thixotropic generalized Navier-Stokes equations based on a constrained monotonicity and continuity coupled system, which cornerstone an efficient monolithic Newton-multigrid solver. manifested...

This paper discusses an econometric technique based on optimal control theory which, by employing a variation of the near-neighbourhood search problem, is seen to be suitable for the type of research that requires estimating time-varying parameters for linear regression models. The methodology is based on the characterization of the time-varying parameter (TVP) problem as an optimal control pro...