A5020232763- Speech and Audio Processing
- Indoor and Outdoor Localization Technologies
- Silicon and Solar Cell Technologies
- Anomaly Detection Techniques and Applications
- Electron and X-Ray Spectroscopy Techniques
- Advanced Battery Materials and Technologies
- PAPR reduction in OFDM
- Neural Networks and Applications
- IPv6, Mobility, Handover, Networks, Security
- Adversarial Robustness in Machine Learning
- Power Line Communications and Noise
- Electromagnetic Compatibility and Noise Suppression
- Thermal Expansion and Ionic Conductivity
- X-ray Diffraction in Crystallography
- Robotics and Sensor-Based Localization
- Advancements in Battery Materials
- X-ray Spectroscopy and Fluorescence Analysis
- Wireless Communication Networks Research
- Advanced Battery Technologies Research
- Rare-earth and actinide compounds
- Domain Adaptation and Few-Shot Learning
- Advanced SAR Imaging Techniques
- Heusler alloys: electronic and magnetic properties
- Surface Modification and Superhydrophobicity
- Target Tracking and Data Fusion in Sensor Networks
University of Klagenfurt
2023-2024
Elettra-Sincrotrone Trieste S.C.p.A.
2009-2017
The optical layout of the XAFS beamline at ELETTRA is presented along with its powerful capabilities for collecting spectra in a wide energy range 2.4 – 27 keV. Recent developments around ensemble available instruments made different collection modes using various sample environments. In particular combined x-ray absorption and diffraction patterns can be collected even high temperature special version l'Aquila-Camerino furnace MAR image-plate detector. An automated control software allows...
X-ray absorption spectroscopy is a synchrotron radiation based technique that able to provide information on both local structure and electronic properties in chemically selective manner. It can be used characterize the dynamic processes govern electrochemical energy storage batteries, shed light redox chemistry changes during galvanostatic cycling design cathode materials with improved properties. Operando XAS studies have been performed at beamline XAFS Elettra different systems. For...
In deep learning, classification tasks are formalized as optimization problems solved via the minimization of cross-entropy. However, recent advancements in design objective functions allow $f$-divergence measure to generalize formulation problem for classification. With this goal mind, we adopt a Bayesian perspective and formulate task maximum posteriori probability problem. We propose class based on variational representation $f$-divergence, from which extract list five posterior...
Extended X-ray absorption fine structure (EXAFS) has been measured at both the K edges of gallium and arsenic in GaAs, from 14 to 300 K, investigate local vibrational thermodynamic behaviour terms bond expansion, parallel, perpendicular mean square relative displacements third cumulant. The separate analysis two allows a self-consistent check results suggests that residual influence Ga EXAFS As edge cannot be excluded. relation between lattice expansion due anharmonicity effective potential...
The accurate estimation of the mutual information is a crucial task in various applications, including machine learning, communications, and biology, since it enables understanding complex systems. High-dimensional data render extremely challenging due to amount be processed presence convoluted patterns. Neural estimators based on variational lower bounds have gained attention recent years but they are prone either high bias or variance as consequence partition function. We propose novel...
In this paper, we address the problem of fingerprinting-based radio localization with a particular focus on measurements collection part. We consider crucial circumstance where operator that builds fingerprinting map by collecting can only travel limited distance. propose an iterative formulation increases accuracy position prediction task using recurrent deep reinforcement learning algorithm. Numerical results real dataset show effectiveness proposed method, and comparison other measurement...
This paper will discuss the telecommunications infrastructure used for remote operations of ground stations and different solutions with a cost-benefit analysis. The ESTRACK network by European Space Agency is subject paper, but discussion proposed architecture be applicable to any Link Extension (SLE) services operating Consultative Committee Data Systems (CCSDS) guidelines. analyze three connectivity between center stations: dedicated lines, Multiprotocol Label Switching (MPLS) links,...
In this paper, we assess the problem of radio localization based on fingerprinting. Although fingerprinting can provide precise in complex propagation environments, its drawback is complexity building map. This map associates each location inside an area to a vector Received Signal Strength (RSS) observations. paper aims answer question: reduce number measurements build for localization? To question, propose new method sampling environment intelligently. The combines Deep Learning (DL) and...