A data-driven approach based on long short-term memory and hidden Markov model for crack propagation prediction
International audience
An international review of occupant -related aspects of building energy codes and standards
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Near real-time optimization of fog service placement for responsive edge computing
Published in Journal of Cloud Computing
In recent years, computing workloads have shifted from the cloud to the fog, and IoT devices are becoming powerful enough to run containerized services. While the combination of IoT devices and fog computing has many advantages, such as increased efficiency, reduced network traffic and better end user experience, the scale and volatility of the fog...
Simpler Learning of Robotic Manipulation of Clothing by Utilizing DIY Smart Textile Technology
Deformable objects such as ropes, wires, and clothing are omnipresent in society and industry but are little researched in robotics research. This is due to the infinite amount of possible state configurations caused by the deformations of the deformable object. Engineered approaches try to cope with this by implementing highly complex operations i...
Large Scale Experimental Study of the Scour Protection Damage Around a Monopile Foundation Under Combined Wave and Curre...
This paper presents a series of large-scale wave flume experiments on the scour protection damage around a monopile under combined waves and current conditions with model scales of 1:16.67 and 1:8.33. The main objective is to compare the damage data obtained from these large-scale models with existing monopile scour protection design approaches, wh...
Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus ...
Imprinted Polymer-Based Guided Mode Resonance Grating Strain Sensors
Optical sensors based on guided mode resonance (GMR) realized in polymers are promising candidates for sensitive and cost effective strain sensors. The benefit of GMR grating sensors is the non-contact, easy optical read-out with large working distance, avoiding costly alignment and packaging procedures. The GMR gratings with resonance around 850&n...
MRI Reconstruction Using Markov Random Field and Total Variation as Composite Prior
Reconstruction of magnetic resonance images (MRI) benefits from incorporating a priori knowledge about statistical dependencies among the representation coefficients. Recent results demonstrate that modeling intraband dependencies with Markov Random Field (MRF) models enable superior reconstructions compared to inter-scale models. In this paper, we...
Perturbation Analysis of Gradient-based Adversarial Attacks
After the discovery of adversarial examples and their adverse effects on deep learning models, many studies focused on finding more diverse methods to generate these carefully crafted samples. Although empirical results on the effectiveness of adversarial example generation methods against defense mechanisms are discussed in detail in the literatur...
Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants
The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in plant fitness and productivity. Scalable, versatile, ...
