Abstract
The nucleon single-particle energies (SPEs) of the selected nuclei, that is, O-16, Ca-40, and Ni-56, are obtained by using the diagonal matrix elements of two-body effective interaction, which generated through the lowest-order constrained variational (LOCV) calculations for the symmetric nuclear matter with the Av(18) phenomenological nucleon-nucleon potential. The SPEs at the major levels of nuclei are calculated by employing aHartree-Fock inspired scheme in the spherical harmonic oscillator basis. In the scheme, the correlation influences are taken into account by imposing the nucleon effective mass factor on the radial wave functions of the major levels. Replacing the density-dependent one-bodymomentumdistribution functions of nucleons, n(k, rho), with theHeaviside functions, the role of n(k, rho) in the nucleon SPEs at the major levels of the selected closed shell nuclei is investigated. The best fit of spin-orbit splitting is taken into account when correcting the major levels of the nuclei by using the parameterizedWood-Saxon potential and the Av(18) density-dependent mean field potential which is constructed by the LOCV method. Considering the pointlike protons in the spherical Coulomb potential well, the single-proton energies are corrected. The results show the importance of including n(k, rho), instead of the Heaviside functions, in the calculation of nucleon SPEs at the different levels, particularly the valence levels, of the closed shell nuclei.

Abstract
Temporal abnormalities in events and gait phases of human walking can be potentially applied in the gait performance analysis. In this study is presented a novel real-time gait events detector that continuously considers the previous gait motions in order to improve this gait analysis. The detection of heel-strike and toe-off events is performed by a finite state machine (FSM), through decision rules and adaptive thresholds. The proposed algorithm stands out of the state-of-the-art by using adaptive thresholds in the FSM's decision rules, making the proposed gait event detector robust to sporadic perturbations, and adaptive to locomotion mode changes. For such, three stages were considered: thresholds' calibration, real-time detection of gait events and thresholds' update. Anatomical differences between lower limbs demanded independent FSMs for each limb. The algorithm was validated in a simulated biped model, and on a real DARwIn-OP robot, what shows up the generality of the proposed approach. Results highlight that the proposed algorithm correctly detects the gait events (accuracy of 100% and 84.348% in simulated and real conditions, respectively), with average time delays from 15.5 to 34ms. Thus, the proposed detector is an adaptive, accurate and versatile tool for real-time analysis of the feet movements along gait cycle.

Abstract

Abstract
The present work evaluates the effect of gap in the density-dependent one-body momentum distribution, n(k, rho), at the Fermi surface on the calculation of the single-particle properties of nucleons, i.e., the momentum- and density-dependent single-particle potential and the nucleon effective mass, and also on the calculation of the ground-state binding energy of the selected closed-shell nuclei, i.e., O-16, Ca-40, and Ni-56. In order to do this, n(k, rho) is constructed by use of the calculations of the lowest-order constrained variational method for the symmetric nuclear matter with the Av(18) potential up to J(max) = 2 and 5. It is shown that the gap in n(k, rho) at the Fermi surface has no significant effect on the calculation of single-particle properties in the case of J(max) = 5. In the relevant evaluation of the ground-state binding energy of selected nuclei, it is seen that the binding energy of O-16, improved by including n(k, rho), is closer to the experimental data, contrary to Ca-40 and Ni-56.

Abstract
Welcome to SGAMES 2015, the 5th International Conference on Serious Games, Interaction and Simulation. This conference is a multidisciplinary approach to the presentation of research, theory, application, practice and validation in the fields of Serious Games, Interaction and Simulation. As such it covers areas like cognition, psychology, technology-enhanced education, evaluation and assessment, multimedia and information technology. It is the place to show and to see new scientific approaches and results from experiments and real-life applications. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016.

Abstract
The role of human in the Industrie 4.0 vision is still considered as irreplaceable. Therefore, user interfaces of cyber-physical systems involved in the production automation need to be well designed and taking into consideration the industrial application requirements. With the advances in augmented and virtual reality data visualization and novel interaction techniques like mid-air gestures, these approaches seem to be suitable for integration into the industry environment. This paper describes the implementation of an augmented reality application for smart glasses with mid- air gestures and smart phone with touch interaction to compare and evaluate the usage of such interfaces in a production cell comprising an industrial robot.