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Related publications (93)

Distributed Particle Swarm Optimization using Optimal Computing Budget Allocation for Multi-Robot Learning

Alcherio Martinoli, Inaki Navarro Oiza, Ezequiel Leonardo Di Mario

Particle Swarm Optimization (PSO) is a population-based metaheuristic that can be applied to optimize controllers for multiple robots using only local information. In order to cope with noise in the robotic performance evaluations, different re-evaluation ...

2015

Trigonometric Interpolation Kernel to Construct Deformable Shapes for User-Interactive Applications

Michaël Unser, Daniel Andreas Schmitter, Ricard Delgado Gonzalo

We present a new trigonometric basis function that is capable of perfectly reproducing circles, spheres and ellipsoids while at the same time being interpolatory. Such basis functions have the advantage that they allow to construct shapes through a sequenc ...

IEEE2015

Real-Time Optimal Controls for Active Distribution Networks

Konstantina Christakou

Decentralized generation, distributed energy storage systems and active participation of end-users in the lower level of the electrical infrastructure, intelligently managed to provide grid support, define the notion of Active Distribution Networks (ADNs). ...

EPFL2015

On Distributed Successive Refinement with Lossless Recovery

Michael Christoph Gastpar, Chien-Yi Wang

The problem of successive refinement in distributed source coding and in joint source-channel coding is considered. The emphasis is placed on the case where the sources have to be recovered losslessly in the second stage. In distributed source coding, it i ...

2014

Crop Backscatter Modeling And Soil Moisture Estimation With Support Vector Regression

Jean-Philippe Thiran, Devis Tuia, Maurice Borgeaud, Jelena Stamenkovic

In this paper, we used an improved version of the Tor Vergata radiative transfer model to simulate the backscattering coefficient for the L-band SAR signals over areas covered with vegetation. Fields of winter wheat, maize and sugar beet observed during th ...

Ieee2014

Improvement of Dynamic Modeling of Supercapacitor by Residual Charge Effects Estimation

Mario Paolone, Dimitri Torregrossa, Emil Namor, Maryam Bahramipanah

The paper presents a set of experimental investigations related to the dynamic behavior of supercapacitors. The experimentally observed results are then used as inputs for the development of an improved version of one of the most common supercapacitor RC-e ...

Institute of Electrical and Electronics Engineers2014

Miniature artificial compound eyes for optic-flow-based robotic navigation

Dario Floreano, Ramon Pericet Camara, Julien Jean Denis Nicolas Lecoeur, Gerard Bahi Vila

Miniature curved artificial compound eyes (CURVACE) represent a promising tool to assist in navigation of mobile robots. In particular, they feature ideal properties for minidrones to navigate safely in indoor environments due to its panoramic field of vie ...

IEEE2014

Integrating Defect Data, Code Review Data, and Version Control Data for Defect Analysis and Prediction

Tao-Chun Lee

In this thesis, we present a new approach to integrating software system defect data: Defect reports, code reviews and code commits. We propose to infer defect types by keywords. We index defect reports into groups by the keywords found in the descriptions ...

2013

Experimental Evidences of Redistribution Phenomenon in Supercapacitors and Consequent Improvement of their Dynamic Model

Mario Paolone, Dimitri Torregrossa, Maryam Bahramipanah

The paper presents a set of experimental investigations related to the study of the dynamic behavior of supercapacitors. The experimentally-inferred results are then used as inputs for an improved version of one of the most common supercapacitor RC-circuit ...

2013

Optimal Dynamic Route Guidance: A Model Predictive Approach Using the Macroscopic Fundamental Diagram

Since centralized control of urban networks with detailed modeling approaches is computationally complex and inefficient, hierarchical decentralized methods based on aggregate models are of great importance. In this paper, we use an aggregate modeling appr ...

IEEE2013

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