Skeletal muscle force and surface electromyographic (sEMG) signals have an inherent relationship. Therefore, sEMG can be used to estimate the required skeletal muscle force for a particular task. Usually, the location for the sEMG sensors is near the respective muscle motor unit points. EMG signals generated by skeletal muscles are temporal and spatially distributed which results in cross-talk that is recorded by different sEMG sensors. This research focuses primarily on modeling muscle dynamics in terms of sEMG signals and the generated muscle force. Here we assume sEMG as input and force as output to the skeletal muscle system. We model the two using a nonlinear Hammerstein-Wiener model and Multiple Regression model. Since these two methods are not leak proof, so we propose an entropy based threshold approach, which is more robust and reliable in most of the practical and real-time scenarios. The proposed methods are tested with the data collected on different subjects.

Grading entropy and degradation of sands and rocks

J. Lőrincz¹, E. Imre², P. Q. Trang³, G. Telekes ¹ L. Nagy³, M. Gálos³, Á. Török³, S. Fityus⁴

¹Tengizchevroil, Farnborough, Hampshire, United Kingdom

² Szent István University, Budapest, Hungary

³ BME, Budapest, Hungary.

⁴ School of Engineering, The University of Newcastle, Callaghan Australia

Abstract. The connection between the grading entropy path and the directional properties of natural or spontaneous processes is investigated in the ongoing research. In this paper some earlier results are reanalysed to study the final state of the breakage process. The breakage tests can be divided into two categories, into the tests with continuous topology and into the tests where the continuous topological effects are repetitively broken during breakage. All test may result in some jumps of the normalised entropy path at the increase of the fraction number which is explained by to the discontinuity of the normalised entropy map which drifts the path onto the stable part of the normalised entropy diagram. All tests end here in a final grading curve with (near) fractal distribution, the discontinuous topology tests may reach to the theoretical ultimate state if the fraction number stabilises. The entropy path for a given initial grading curve and testing mode seems to be unique.

Keywords: grading entropy, breakage, sand, compaction

This poster intends to be a brief overview of random field models and information geometry basics in the study of stochastic complex systems. The focus is on how computational simulations can be performed in order to gain deeper undertanding about the underlying processes that govern these system's dynamics, by making use of the ubiquitous concept of information. In this context, both entropy and Fisher information are two statistical measures that play a fundamental role in this kind of analysis, provided there is a strong connection between them and the geometry of the random field models' parametric space. Throughout this overview, several subproblems that are part of the whole methodology are discussed, from parameter estimation in Markov random fields and Markov Chain Monte Carlo algorithms to the definition of the Fisher curves of the system. Experimental simulations are conducted in order to illustrate the described concepts and methods in a detailed and objective way.