Articles publicats Departament d'Arquitectura i Tecnologia de Computadors: Envíos recientes
Mostrando ítems 61-80 de 409
Long-term mapping and localization using feature stability histograms
This work proposes a system for long-term mapping and localization based on the Feature Stability Histogram (FSH) model which is an innovative feature management approach able to cope with changing environments. FSH is ...
Estándares para e-learning adaptativo y accesible
Currently there are many standards that deal with accessibility issues regarding users’ models, learning scenarios, interaction preferences, devices capabilities, metadata for specifying the delivery of any resource to ...
Web-tracking compliance: websites’ level of confidence in the use of information-gathering technologies
With the emergence of new technologies and the generalized use of social media, corporations have an invested economic interest in employing web-tracking techniques, but there is also the issue of protecting users’ privacy. ...
Designing context-aware adaptive units of learning based on IMS-LD standard
Learning contents adaptation has been a subject of interest in the research area of the adaptive hypermedia systems. Defining which variables and which standards can be considered to model adaptive content delivery processes ...
A noninvasive method for measuring the velocity of diffuse hydrothermal flow by tracking moving refractive index anomalies
Diffuse flow velocimetry (DFV) is introduced as a new, noninvasive, optical technique for measuring the velocity of diffuse hydrothermal flow. The technique uses images of a motionless, random medium (e.g.,rocks) obtained ...
Underwater 3D Scanner Model Using a Biaxial MEMS Mirror
Underwater 3D laser scanners are an essential type of sensor used by unmanned underwater vehicles (UUVs) for operations such as navigation, inspection and object recognition and manipulation. These sensors need to be able ...
Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks
In recent years, Convolutional Neural Networks (ConvNets) have rapidly emerged as a widespread machine learning technique in a number of applications especially in the area of medical image classification and segmentation. ...
Social Presence Approach Within the Question and Answering eLearning Model: An Experiment with a Multi-Agent System
The model of Questions Answering (Q&A) for eLearning is based on collaborative learning through questions that are posed by students and their answers to that questions which are given by peers, in contrast with the classical ...
Hints for a fast precessing relativistic radio jet in LS I + 61° 303
Here we discuss two consecutive MERLIN observations of the X-ray binary LS I +61° 303 . The first observation shows a double-sided jet extending up to about 200 AU on both sides of a central source. The jet shows a bent ...
Checking Multi-domain Policies in SDN
Programmable Network like SDN allows administrators to program network nfrastructure according to service demand and custom-defined policies. Network olicies are interpreted by the centralized controller to define actions ...
Active SLAM for Autonomous Underwater Exploration
Exploration of a complex underwater environment without an a priori map is beyond the state of the art for autonomous underwater vehicles (AUVs). Despite several efforts regarding simultaneous localization and mapping ...
Local map update for large scale SLAM
A technique for simultaneous localisation and mapping (SLAM) for large scale scenarios is presented. This solution is based on the use of independent submaps of a limited size to map large areas. In addition, a global ...
An approach to visual servoing based on coded light
Positioning a robot with respect to objects by using data provided by a camera is a well known technique called visual servoing. In order to perform a task, the object must exhibit visual features which can be extracted ...
Joint estimation of segmentation and structure from motion
We present a novel optimisation framework for the estimation of the multi-body motion segmentation and 3D reconstruction of a set of point trajectories in the presence of missing data. The proposed solution not only assigns ...
Underwater Laser Scanner: Ray-Based Model and Calibration
Underwater 3-D perception is crucial for autonomous manipulation and mapping. Using a mirror-galvanometer system to steer a laser line projector and using triangulation with a camera it is possible to produce full 3-D ...
Accurate display gamma functions based on human observation
This article describes an accurate method to obtain the tone reproduction curve of display devices without using a measurement device. It is an improvement of an existing technique based on human observation, solving its ...
Efficient learning of reactive robot behaviors with a Neural-Q_learning approach
The purpose of this paper is to propose a Neural-Q_learning approach designed for online learning of simple and reactive robot behaviors. In this approach, the Q_function is generalized by a multi-layer neural network ...
Full label space reduction in MPLS networks: asymmetric merged tunneling
Traffic Engineering objective is to optimize network resource utilization. Although several works have been published about minimizing network resource utilization in MPLS networks, few of them have been focused in LSR ...
Calibration of a Structured Light-Based Stereo Catadioptric Sensor
Catadioptric sensors are combinations of mirrors and lenses made in order to obtain a wide field of view. In this paper we propose a new sensor that has omnidirectional viewing ability and it also provides depth information ...
Distributed Control and Signaling using Cognitive Pilot Channels in a Centralized Cognitive Radio Network
In this paper, a cognitive radio network (CRN) model is presented. In this model, the control of the CRN is distributed among the frequency spectrum considered for transmission using cognitive pilot channels (CPCs). This ...
