fault zones and fault-related fracture systems control the mechanical behaviors and fluid-flow properties of the earth’s crust. furthermore, nowadays, modeling is being increasingly used in order to understand the behavior of rock masses, and to determine their characteristics. in this work, fault zones and fracture patterns are reviewed, and also comprehensive studies are carried out on the fr...

In this study, we present a new scalable scheme for adapting the transmission rate of multimedia applications to the congestion level of the network. The scheme is based on the end-to-end Real Time transport protocol (RTP). Results achieved through simulations and measurements suggest the efficiency of the scheme in utilizing the network resources and decreasing the loss rates. However, with no...

Around the globe, networks of camera lenses are trained upward. They scan the night skies, aiming to catch streaks of bright light: meteorites as they fall to Earth. Searching for these space rocks is not new. But the precision and resolution with which increasingly expansive networks of Earth-bound cameras are tracking meteorites is starting to offer insights into both where these bodies go an...

Zusammenfassung: Mitarbeiter des Zentrums Mensch-Maschine-Systeme (TU Berlin), des Fachgebiets Ergonomie im Design (Uni Essen), des Zentrums für Mensch-Maschine-Interaktion (Uni Kaiserslautern) und des Instituts für Arbeitswissenschaft (RWTH Aachen) haben bereits bestehende und neue Informationsangebote in einem Web-Portal zusammengeführt und mit einer Kooperationsplattform verbunden. Mit dem W...

We present Dynamic Sampling Convolutional Neural Networks (DSCNN), where the position-specific kernels learn from not only the current position but also multiple sampled neighbour regions. During sampling, residual learning is introduced to ease training and an attention mechanism is applied to fuse features from different samples. And the kernels are further factorized to reduce parameters. Th...

Previous studies have computed and modeled fluid flow through fractured rock with the parallel plate approach where the volumetric flow per unit width normal to the direction of flow is proportional to the cubed aperture between the plates, referred to as the traditional cubic law. When combined with the square root relationship of displacement to length scaling of opening-mode fractures, total...

We propose MRU (Multi-Range Reasoning Units), a new fast compositional encoder for machine comprehension (MC). Our proposed MRU encoders are characterized by multi-ranged gating, executing a series of parameterized contractand-expand layers for learning gating vectors that benefit from long and short-term dependencies. The aims of our approach are as follows: (1) learning representations that a...