Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services

Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications depends on their smoothness and immersiveness. Modern AR applications applying computationally intensive computer vision algorithms can burden today's mobile devices, and cause high energy consumption and/or poor performance. To tackle this challenge, it...

Distributed optical sensor surface concept for planar object detection: Using optical fibers as a vision distributor

With the ever-increasing demand for a more efficient production process, the thickness of silicon wafers for the solar cell industry has shown a decreasing trend over the years. This makes the substrates more and more fragile, with an increasing breakage rate as a result. Research at the TU Delft has been done on contactless handling, using air...

A Reconfigurable Graphene-Based Spiking Neural Network Architecture

In the paper we propose a reconfigurable graphene-based Spiking Neural Network (SNN) architecture and a training methodology for initial synaptic weight values determination. The proposed graphene-based platform is flexible, comprising a programmable synaptic array which can be configured for different initial synaptic weights and plasticity...

Geophysical tomography as a tool to estimate the geometry of soil layers: relevance for the reliability assessment of dikes

The geometric variability of soil layers is a large source of uncertainty in the reliability assessment of dikes. Because direct samples of the subsurface soils are often insufficient to capture the complexity of the subsurface, geophysical methods provide a powerful source of complementary information. A combined approach to estimate the...

Compressing Digital Illustrative Art for Mobile Games by Means of 2D Triangle Meshes

Many games played on the mobile phone have become large in download size. A significant portion thereof is due to the many textures that are involved. However, many games have art styles that include clean drawings with gradients, solid colors, and hard lines. We observe that these images’ areas may be more efficiently described by interpolating...

Extraction of building roof edges from LiDAR data to optimize the digital surface model for true orthophoto generation

Various kinds of urban applications require true orthophotos. True orthophoto generation requires a DSM (Digital Surface Model) to project the photo orthogonally and minimize geometric distortion due to topographic variance. DSMs are often generated from airborne laser scan data. In urban scenes, DSM data may fail to deliver sharp and...

Ship Hull Cleaning Robots: Obstacle Detection Using a Forward Looking Sonar System

Fouling (algae, slime, and barnacles) on the hull of large cargo vessels is undesirable because it increases their frictional drag, resulting in an increased fuel consumption. As a solution, Fleet Cleaner introduced a ship hull cleaning robot that maneuvers on the hull, using powered wheels and magnets. The robot is controlled by a human...

Development and implementation of moving boundary conditions in the Material Point Method

A new technique is developed in this thesis, which applies boundary conditions to moving boundaries in the Material Point Method (MPM). While MPM has been proven to be useful in slope stability, foundation and seabed ploughing modelling, the application of boundary conditions is still a challenge,<br/>because the location of the boundary is...

Characterization and Design of a Readout Circuit for a Piezoelectric-based Acoustic Disdrometer

In 2009, Department of Water Management (DWM) at TU Delft conceptualized the design of a low-cost disdrometer suitable for large scale, remote deployment. But, being a novel idea, its electrical characteristics were not well researched. Also, the system was not sensitive enough to measure the raindrops of diameter less than 0.9mm. Furthermore,...

Design of a no-reference perceptual ringing artifact metric