75% Location profiler 85% Flow profiler Real user behavior 52% - - PowerPoint PPT Presentation

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75% Location profiler 85% Flow profiler Real user behavior 52% - - PowerPoint PPT Presentation

T HESIS OBJECTIVES Static Canopy Model (SCM); Dynamic Canopy Model (DCM); Enhanced Static Trunk and Ground(ESTG) model; Combination of individual models into a generic doubly-selective 3D vegetation model; Final model


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SLIDE 1

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| Vigo – 22nd June 2017

THESIS OBJECTIVES

 Static Canopy Model (SCM);  Dynamic Canopy Model (DCM);  Enhanced Static Trunk and Ground(ESTG) model;  Combination of individual models into a generic doubly-selective 3D

vegetation model;

 Final model validation.

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SLIDE 2

SDN-ORIENTED GLOBAL NETWORK OPTIMIZATION ALGORITHM

MHIRI Saber, Francisco Javier González Castaño AtlantTIC, GTI Group University of vigo

Location profiler Flow profiler APs assignment algorithm Control Plane Real user behavior Real AP network (Wifi + 5G)

75% 85% 52%

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SLIDE 3

SENTIMENT ANALYSIS IN SOCIAL MEDIA CONTENTS USING NATURAL LANGUAGE PROCESSING TECHNIQUES

Author: Tamara Álvarez López Advisors: Enrique Costa Montenegro, Milagros Fernández Gavilanes Affiliation: AtlantTIC Research Center, University of Vigo MOTIVATION

Growth of social networks and their users.

New way of expression.

Very valuable information for companies, who need to analyse it.

Great amount

  • f

information available

  • nline.

Difficult to analyse.

Natural Language Processing (NLP) techniques.

Applied in fields like: Sentiment Analysis (SA), Aspect Extraction, Text Generation, Entity Recognition, etc.

OBJECTIVES

Automatic sentence-level SA system.

Fine-grained SA system, by means of aspect detection.

Application and adaptation to different datasets and contexts.

Implementation for English and Spanish. e.g. Service was nice but price was not worth it and food quality was very miserable. Service Price Food quality Sentence-level SA Aspect-level SA

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SLIDE 4

Artur Costa-Pazo, Esteban Vazquez-Fernandez and José Luis Alba-Castro

PRESENTATION ATTACK DETECTION ON FACE RECOGNITION SYSTEMS IN MOBILE DEVICES

Thesis Objectives

  • Analysis of Presentation Attack Detection PAD in Real Scenarios.
  • Evaluation Framework.
  • Develop robust face-PAD methods in mobile devices

Preliminary Results

  • Proposal and commitment for writing a chapter on a
  • book. Handbook of Biometric Antispoofing
  • Participation on IJCB 2017 competition on

generalized face presentation attack detection in mobile authentication scenarios obtaining the 1st rank across all the four protocols.

Figure 1: Samples of the different presentations attack instruments, PAI. Replay-Mobile database was captured within the framework of collaboration between Idiap and Gradiant. Workshop on Monitoring PhD Student Progress acosta@gradiant.org

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SLIDE 5

Homomorphic Lattice Cryptosystems for Secure Signal Processing

Workshop on Monitoring PhD Student Progress. June 22-23, 2017.

Alberto Pedrouzo-Ulloa, Advisors: Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González {apedrouzo@gts.uvigo.es, juan.troncoso-pastoriza@epfl.ch, fperez@gts.uvigo.es}

  • Privacy protection when dealing with sensitive signals in untrustworthy environments

through the use of SSP (Secure Signal Processing)

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  • Privacy protection when dealing with multidimensional signals
  • Design of new primitives and protocols for encrypted signal processing
  • Security analysis and development of encrypted compression schemes

Specific objectives Main objective

Encrypted data Encrypted results Secret key owner Sensitive signals Encrypted data Encrypted results Service A Service B Service D Service C

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SLIDE 6

PROPOSAL OF A SOCIAL INTERACTION TOOL, INTEGRATED IN FACEBOOK, FOR E-LEARNING

E-LEARNING ENVIRONMENT OF A SOCIAL INTERACTION

DEVICE FACEBOOK APP WEB SITE STORAGE

WEB BROWSER MOBILE SQL DATABASE WEB SITE ACHIVEMENTS

author HELDER RODRIGO SOARES PINTO ARCHITECTURE AND TELEMATIC SERVICES thesis advisor MARTÍN LLAMAS NISTAL and FERNANDO MIKIC FONTE

PhD in ICT

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SLIDE 7

Results and Discussions Radio Frequency Propagation, Characterization And Measurements For Antenna Sensor Networks With Applications In Smart Farming

Hicham Klaina, supervised by Ana Vazquez Alejos and Otman Aghzout

Using this WSN topology, farmer is allowed to monitor his farm in real time using his smartphone

  • r laptop whenever and wherever he is.

WSN for farm monitoring using Raspberry: Traceability of food transportation using Arduino: Data model offered to farmers to trace their food transportation which is a part of the new V2X technology, from the farm to the table. Food traceability in real-time

  • n

Google Maps will accessible to the farmer. Measurements show that a significant change in path loss occurs when lowering the height of the antennas near to ground after a break distance, changing the propagation channel model. Measurements demonstrate that RFID tags type, positioning and food dielectric constant have a big influence

  • n tags attached to food detection
  • performance. Novel design needed.

Hicham Klaina, Ana Vazquez Alejos and Otman Aghzout “RFID Tags Detection Effects for Smart Agriculture Applications” under review. Fig 2. RSSI values using ALN G tag attached to a plastic bottle at 7cm from the bottom. Hicham Klaina, Ana Vazquez Alejos and Otman Aghzout “Radio frequency propagation study for near- ground antenna sensor networks dedicated to agriculture” under review. Fig 1. Path loss in agriculture fields at 2.4GHz for H1=20cm & H2=40cm.

Design and development of an ideal smart farming system for crops monitoring from cultivation to transport and storage in warehouses.

Motivation Thesis Objectives

Workshop on Monitoring PhD students Progress - PhD program in Information and Communications Technology - June 2017

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SLIDE 8

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Bluetooth WiFi Accelerometer GPS Proximity Magnetometer Gyroscope Microphone

Fátima Castro Jul Ana Fernández Vilas Rebeca P . Díaz Redondo I & C Lab AtlantTIC Research Center Universidade de Vigo

DISTRIBUTED COLLABORATION IN MOBILE CONTEXT-AWARE SYSTEMS

Local proximity Urban areas Social proximity

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SLIDE 9

Evaluate

Use

Explore Share Remix

Create

By: Carmelo B. España V.

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SLIDE 10

DATA-DRIVEN ALLOCATION OF NETWORK RESOURCES IN UDNs

SILVESTRE LOMBA MALTA, SUPERVISED BY MANUEL FERNANDEZ VEIGA

  • Ultra-dense networks (UDN) have been considered one of the most advanced technologies in 5G and

can be the key to meet users’ expectations.

  • Due to UDN characteristics, energy management and energy consumptions are serious challenges to

network operators.

  • Studies have concluded that Base Stations consume about 60%-80% of energy use in cellular networks.
  • In my thesis, I would like to contribute with:
  • New techniques for sampling, compressing and summarizing network mobility information in real-

time.

  • Evaluate the performance improvements of knowing mobility and traffic patterns in UDNs, as far as

energy-efficiency is concerned.

  • Develop deterministic mean-field approximations for predicting the performance in large UDNs.
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SLIDE 11

Recommendation of Tourism Resources Supported by Crowdsourcing

Fátima Leal, University of Vigo, June 2017 – Workshop DOC-TIC 13-06-2017

Tourism Crowdsourcing Profiling Recommendations

 State-of-the-art review  Tourist behaviour questionnaire  Data collection  Crowd-sourced data analysis  Multi-criteria profiling  Trust & Reputation modeling  User-based and item-based recommendations  Off-line && On-line processing Done Final Thesis

Recommendations based on Crowd-sourced information

Research Plan

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SLIDE 12

Motivation

  • Genomic data are sensitive.
  • Genomic data are unique identifier
  • f each person.
  • Genomic data are not revocable.

Results​

  • Novel protocol of paternity testing.
  • Achieving anonymous credential for

access control in genomic area.

  • Sketch of the protocol featuring​

an “inherent” access control​ through attributes enforcing the​ patient’s access policy​

  • Implementing "entropy-based" privacy

measurement

  • Dynamic Privacy-Preserving Genomic

Susceptibility Testing. Thesis Objectives

  • E-Health applications privacy

analysis​. Develop and device countermeasure.