Introduction: Today, facial bio-potential signals are employed in many human-machine interface applications for enhancing and empowering the rehabilitation process. The main point to achieve that goal is to record appropriate bioelectric signals from the human face by placing and configuring electrodes over it in the right way. In this paper, heuristic geometrical position and configuration of ...

This study focuses on building modeling from DSM. The objective is to develop a highly automatic system of 3D modeling. 3D reconstruction of buildings has been an active research topic in digital city and GIS applications. Various data types have been used in the researches, including multi-image, image integrated with GIS map or planning map, image integrated with DSM, etc. There are hardly co...

This paper reports a CFD modeling study to investigate the hydrogen-air mixture combustion in a micro scale chamber. Nine species with nineteen reversible reactions were considered in the premixed combustion model. The effect of operational and geometrical conditions including; combustor size, wall conductivity, reactant flow rates and hydrogen feed splitting on combustion stabilit...

Although single person virtual environment systems can aid the individual in particular aspects of work they do not address issues of interaction and collaboration between participants and how these can enhance productivity. We present a system for geometrical modeling which permits collaboration between designers at physically separated sites to build and modify objects composed of free-form s...

The information is at the present time often saved and available in electronic form. With still increasing quantity of accessible, most frequently text information, the need of organization of these data is raising. The problem of fast and effective information retrieval occurs very often. In this contribution we describe the method for creating word vector space and using NOT operation for mor...

Methods Overview.Our computational approaches involve two stages: estimation of knowledge-based statistical potentials and Monte Carlo/ Simulated Annealing (MC/SA) sampling of 3D graphs. In the first stage, we develop knowledge-based statistical potentials based on 3D graph representations of non-redundant solved RNAs and statistical analysis of their 3D geometrical features, from parts to whol...

Learning algorithms for implicit generative models can optimize a variety of criteria that measure how the data distribution differs from the implicit model distribution, including the Wasserstein distance, the Energy distance, and the Maximum Mean Discrepancy criterion. A careful look at the geometries induced by these distances on the space of probability measures reveals interesting differen...

This paper presents concepts for dealing with topological information in building information models. On the one hand, it shows how to derive topological relationships from ``traditional'' building models consisting of unconnected B-Rep bodies by means of geometric processing algorithms. On the other hand, it discusses the capabilities of topological building modeling based on relational comple...