Course Purposes:
The exploitation of electromagnetic field data as a sensing tool paves the way to a number of interesting engineering applications including antenna testing and characterization, biomedical diagnostics, humanitarian demining, archeological prospection, through-the-wall imaging, non‐destructive testing of transport infrastructures and buildings, and many others.
This course, after reviewing fundamental equations and main difficulties of inverse problems in high-frequency electromagnetics, will focus on classical and recently introduced solution procedures and algorithms, discussing capabilities, limitations, and perspectives of both approximate and 'exact' reconstruction methods. Applicative examples, including exercises and lessons regarding specific applications, will corroborate the developed concepts.
The course is targeted to PhD studentis, Researchers, Scientists, and Engineers who are willing to:
(a) learn about the basics of microwave diagnostics and imaging;
(b) enhance their background on inverse problems in electromagnetics;
(c) know about the leading edge and more recent advances on inversion algorithms;
(d) take an overview on the applications of inverse scattering techniques to research, industrial, and civil frameworks.
Topics:
Day 1: Introduction to inverse scattering and basic theory
Day 2: Qualitative imaging methods
Day 3: Quantitative imaging: approximated and complete methods
Day 4: Imaging applications
- Antenna Diagnostics
- BIO Applications
- GPR Applications
Day 5: Further issues and advanced topics
Teachers:
CROCCO Lorenzo, CNR, Italy
ISERNIA Tommaso, University 'Mediterranea' of Reggio Calabria, Italy
LAS-HERAS Fernando, University of Oviedo, Spain
LESSELIER Dominique, CNRS, France
LO-VETRI Joe, University of Manitoba, Canada
MASSA Andrea, University of Trento, Italy
SCHETTINI Giuseppe, University "Roma Tre", Italy
TOSCANO Alessandro, University "Roma Tre", Italy
Schedule:
32.5 hours of classes:
- 27 hours of theoretical lectures
- 3.5 hours of guided software exercises
- 2 hours of final exam
A detailed course scheduling is enclosed in the flyer available
here.
Availability: NEW - NO MORE POSITIONS AVAILABLE
25 attendees (students or industrial employees)
35 attendees (students or industrial employees)
Costs:
The course fee is 440 EUR for non-profit institutions and 880 EUR for companies.
This cost covers registration, course material, coffee breaks, lunches, and a social dinner.
Registration: NEW - REGISTRATIONS CLOSED
Registered people are please to proceed with the payment of the registration fee within March 10th 2014.
Student Grant Information:
Grants are offered by the co-organizing COST Actions: TD1301 and TU1208. In the following, the information for application.
COST Action TD1301 - Development of a European-based Collaborative Network to Accelerate Technological, Clinical and Commercialisation Progress in the Area of Medical Microwave Imaging (
www.cost.eu/td1301) will
grant a maximum of 6 (six) 650€ trainee grants to participants who are part of the COST Action. For information on how to join the Action and/or apply to grants, please visit:
http://www.cost.eu/participate/join_action and
www.cost.eu/td1301 or contact Dr. Lorenzo Crocco (This email address is being protected from spambots. You need JavaScript enabled to view it.
).
The deadline for trainee grant applications is February 10th, 2014.
COST Action TU1208 - Civil Engineering Applications of Ground Penetrating Radar (
www.gpradar.eu) will
grant a maximum of 6 (six) 650,00 € trainee grants to PhD Students and Early-Stage Researchers (ESRs) who are Members of COST Action TU1208, as a contribution to cover travel, accommodation and meal expenses. ESR is a researcher in the start phase of his/her career, with up to 8 years of experience after the PhD. For information on how to join the Action and/or apply to grants, please take contact with the Action's Chair, Dr. Lara Pajewski (This email address is being protected from spambots. You need JavaScript enabled to view it.
).
The deadline for submitting grant applications is February 15th, 2014.
Additional Info:
The course gives 3 ECTS credits.
Accomodation:
The course will be held in Madonna di Campiglio, one of the most exclusive ski resorts in northeast Italy (Trentino province) located in a beautiful basin between the Brenta Dolomites group and the Adamello and the Presanella glaciers (
www.campigliodolomiti.it).
Accommodation is not included in the course fee.
Information on lodging solutions are available
here.
Travel:
Information on how to arrive in Madonna di Campiglio are available. More precisely, two files are included reporting:
Further Information:
To receive further information, please contact the organization team (see email addresses below).
Course Organizer:
European School of Antennas (ESoA)
Course Co-Organizer:
COST Action TD1301
Development of a European-based Collaborative Network to Accelerate Technological, Clinical and Commercialisation Progress in the Area of Medical Microwave Imaging
COST Action TU1208
Civil Engineering Applications of Ground Penetrating Radar
Organization Team:
Prof. Tommaso Isernia
LEMMA Research Group @ DIIES
University 'Mediterranea' of Reggio Calabria
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Prof. Andrea Massa
ELEDIA Research Center @ DISI
University of Trento
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Andrea Morabito
LEMMA Research Group @ DIIES
University 'Mediterranea' of Reggio Calabria
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Giacomo Oliveri
ELEDIA Research Center @ DISI
University of Trento
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dr. Paolo Rocca
ELEDIA Research Center @ DISI
University of Trento
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
EVoKE (Eledia Vodafone Kpi Evaluator) is a full scale anomaly detection system for 2G, 3G, 4G cellular networks.
The goal of EVoKE is the study, implementation, development, and testing of supervised and non-supervised methodologies to detect 2G/3G/4G network anomalies through KPI (Key Performance Indexes) stream analysis. Moreover, the activity is aimed at the derivation of techniques able to react with best-practice actions and possibly deduce information about causes and solutions for the detected anomalies in wireless networks.
The analysis problem of interest has been mathematically described in terms of an outlier detection problem where a set of input-output relationship are provided by domain experts in a semi-supervised manner.
Input data is a collection of generic multivariate time series. In particular, referring to Vodafone context, typical input includes m KPIs of n cells (usually the whole network, which includes dozen of thousand of BTS). Thus, the size of such dataset is very huge (millions of samples daily). |
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EVoKE supports three operational modes: (offline) detection, (offline) filtering, real-time refining. These modes are partially reflected into two distinct layers:
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Detection
The Detection layer is responsible of analyzing raw data (e.g. KPI stream) from Data Adapter and generate (detect) events: such as possible anomalies, trends, particular patterns. Decision (detection) might be based also on information available in the Knowledge Base; output events are usually processed by Filtering layer before being stored.
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Filtering
The EVoKE Filtering layer is designed to evaluate events generated by Detection layer or loaded from a previous analysis (e.g. previous days). This process is performed by one or multiple Filters, usually executed sequentially and in a particular order. A particular set of Filters, classified as Refining filters, are explicitly developed to remove false-positive events (or emphasize correct events) by means of real-time analysis of the input stream (e.g. KPIs’ hourly-data) and advanced evaluations of previous results (based on best-practices).
The distinction of Detection and Filtering layers has a central role within EVoKE approach, the concept might be summarized as follows:
“apply multiple detectors to find any possible event, then (eventually) merge and filter”
It includes many statistical detectors (Multipass Modified three-sigma, MAD, Median Rule, BoxPlot) and a WAVELET based pattern matching detector for complex anomalies.
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The proposed detection methodologies have been implemented and validated in terms of computational complexity, accuracy, reliability, and robustness. More in detail, some typical well known problems of wireless network evolutions and false alarms have been solved by means of custom filters and adaptive strategies based on dynamic reference profiles which describe and update user-defined patterns and the normal behavior of each KPI depending on observed network features. |
EVoKE architecture has been implemented as a flexible and extendible framework which is actually installed and connected to VODAFONE OMNITEL N.V. data-warehouse in order to continuously monitor the network and receive feedback from operators on real-world problems and scenarios.
EVoKE has been tested during 2012 by Vodafone Omnitel N.V. and is able to evaluate more than 30.000 cells (daily analysis) in 16 seconds.