Heidegger’s phenomenology of the invisible

Martin Heidegger has retrospectively characterized his philosophy as “phenomenology of the invisible”. This paradoxical formula suggests that the aim of his thinking was to examine the origin of the phenomena. Furthermore, Heidegger has also stated that his philosophy is ultimately motivated by a theological interest, namely the question of God’s absence. Following the guiding thread of those remarks, this essay analyzes the essential traits of Heidegger’s thought by interpreting them as an attempt to develop a phenomenology of the invisible. Heidegger’s attitude towards physics and metaphysics, his theory of truth, his reading of Aristotle, his concept of Dasein, his understanding of nothingness are all situated within the problematic context of the relation between the invisible and the revealed. Heidegger’s thought is thereby posited at the point of intersection of phenomenology, ontology, and theology

Stein approximation for functionals of independent random sequences

We derive Stein approximation bounds for functionals of uniform random variables, using chaos expansions and the Clark-Ocone representation formula combined with derivation and finite difference operators. This approach covers sums and functionals of both continuous and discrete independent random variables. For random variables admitting a continuous density, it recovers classical distance bounds based on absolute third moments, with better and explicit constants. We also apply this method to multiple stochastic integrals that can be used to represent U-statistics, and include linear and quadratic functionals as particular cases

NICP: Dense normal based point cloud registration

In this paper we present a novel on-line method to recursively align point clouds. By considering each point together with the local features of the surface (normal and curvature), our method takes advantage of the 3D structure around the points for the determination of the data association between two clouds. The algorithm relies on a least squares formulation of the alignment problem, that minimizes an error metric depending on these surface characteristics. We named the approach Normal Iterative Closest Point (NICP in short). Extensive experiments on publicly available benchmark data show that NICP outperforms other state-of-the-art approaches

A real scale simulator for high frequency LEMP

The real scale simulator is described which was designed by the Centre d'Etudes de Gramat (CEG) to study the coupling of fast rise time Lightning Electromagnetic pulse in a fighter aircraft. The system capability of generating the right electromagnetic environment was studied using a Finite Difference Time Domain (FDTD) computer program. First, data of inside stresses are shown. Then, a time domain and a frequency domain approach is exposed and compared