Preprocessing Clasification DDBB Features extraction - - PowerPoint PPT Presentation

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Mar 01, 2024 780 likes •925 views

MULTIMEDIA DATA ANALISYS FOR EMOTION RECOGNITION D e v e l o p a m e t h o d o l o g y t h a t a l l o w s t o d e t e c t t h e e m o t i o n s o f t h e p e o p l e t h r o u g h m u l t i m e d i a d a t a , i n s p e c i a l , s

SLIDE 1

MULTIMEDIA DATA ANALISYS FOR EMOTION RECOGNITION

D e v e l o p a m e t h o d o l o g y t h a t a l l o w s t o d e t e c t t h e e m o t i o n s o f t h e p e o p l e t h r o u g h m u l t i m e d i a d a t a , i n s p e c i a l , s p e e c h d a t a , u s i n g D e e p N e u r o n a l N e t w o r k s .

DDBB Features extraction Preprocessing Clasification ☺

…
Transforma9ons.
Concatenate DDBB
Adding noise
Pretraining
CNN
RLU/Sigmoid
Incep9on
FFT
Mel scale
Log transforma9on
Mul9window
Arquitecture
Op9miza9on
Ac9va9on func9on

Fernando García Novo, fgnovo@gmail.com

SLIDE 2

LMS and H-SATCOM Radio Channel Characterization at X and KU bands

Wideband and

narrowband study

Spatial and polarization

diversity techniques

3D ray tracing model
Vegetation scattering

model

10 20 30 40 50 60 70 80 90 100

time(ms) normalized power to direct ray(dB) Direct ray Blade 1 - trailing edge Blade 1 - transversal edge Blade 1 - leading edge Blade 2 Blade 3 Blade 4 1 1.5 2 2.5

distance between receiver and tree center [m] received power [dBm] Thuja Line fit dfs dobs Free space

SLIDE 3

Behavioural Modelling of Microwave Transistors for Wideband High Efficiency Power Amplifier Design

PHD PROGRAM ON INFORMATION AND COMMUNICATIONS TECHNOLOGY OF THE UNIVERSITY OF VIGO Author: Mª del Rocío Moure Fernández Advisor: Mónica Fernández Barciela

Interpolated Extrapolated

Meas. system PNA-X based set-up

Device 6x75μm GaN HEMT. Load-pull contours at 3 GHz and P1dB. “

Input Output

UAV

SLIDE 4

Secure Signal Processing for Genomic Privacy Protection

Mina Namazi

Motivation

Genomic data reveals each person’s carrier status,

health risks, drug response, inherited traits, Sensitive.

Genomic data are unique identifier of each person.
Genomic data are not revocable.

Thesis Objectives

E-Health applications privacy analysis
Designing privacy preserving enhanced signal

processing methods for e-health applications.

Devising new information-theoretic metrics to

quantify the information leakage on genomic data.

Dynamic Privacy-Preserving Genomic

Susceptibility Testing.

Results

Novel protocol of susceptibility

test by applying lattice based cryptography

Achieving higher efficiency, less

round complexity, and more privacy

Sketch of the protocol featuring

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

SLIDE 5

SIGNAL PROCESSING FOR ANONYMOUS COMMUNICATIONS

Simon Oya, Carmela Troncoso, and Fernando Pérez-González

simonoya@gts.uvigo.es ctroncoso@gradiant.org fperez@gts.uvigo.es Alice Oncologist

MOTIVATION OF THE WORK

Privacy in the communications:

Develop Optimize Analyze

THESIS OBJECTIVES

Apply signal processing tools to anonymous communications. How? In the poster :)

Protect data (cryptography) Protect meta-data!!!

SLIDE 6

Contribution to development of telematic services for data analysis in technology area. Application to eHealth field.

Author: Mateo Ramos Merino Thesis Advisors: Juan M. Santos Gago, Luis M. Álvarez Sabucedo

Department of Telematic Engineering , University of Vigo Desired behavior Workflow Process model Real behavior Collect traces on this for analyses

In some domains, such as eHealth, process monitoring is very important. It is mandatory to control, check and verify the implementation of workflows as designed in actual scenarios.

OBJECTIVES

Improve expressiveness

current modeling languages. Enhance results of conformance checking techniques using semantic information.

SLIDE 7

CONTRIBUTION TO THE VIRTUALIZATION AND ROUTING MECHANISMS FOR AUTONOMOUS DRIVING APPLICATIONS IN MOBILE AND VEHICULAR AD-HOC NETWORKS

Author: José Víctor Saiáns-Vázquez Thesis Advisors: Martín López-Nores and Yolanda Blanco-Fernández

THESIS OBJECTIVES MOTIVATION

VANET’s problem → Solution High mobility Virtualization

► VANETs are expected to become an extension of the wired Internet, providing innovative communication and information services to the drivers and passengers. ► Virtualization is a good way to tackle the problem of the high mobility: ► Cluster-based approach to handle communications. ► Abstraction of fixed geographical regions served by virtual nodes as a mean to tackle the mobility of the real nodes. ► The virtualization mechanisms can be polished to work efficiently in a wide variety of scenarios. ► Autonomous driving is one of the most promising application of the VANETs.

SLIDE 8

APPLICATION OF LEARNING ANALYTICS TECHNIQUES ON BLENDED LEARNING ENVIRONMENTS FOR UNIVERSITY STUDENTS

Sheila Lucero Sánchez López Supervised by: Rebeca P. Díaz Redondo, Ana Fernández Vilas

Affiliation: ICLab Information & Computing Lab, Department of Telematics Engineering (University of Vigo)

The emergence of E-Learning platforms is innovating the learning process, the platforms store in its databases information about the actions

f teachers and students, thus generating large volumes of data but has not been able to measure the degree of learning acquisition.

Therefore, the main objective of this thesis is the research and application of learning analytics techniques for prediction and prevention of failure and dropout of students at university level under the blended-learning training model. We propose: Learning Analytics

“The measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs”. LAK 2011

Blended enviroments

SLIDE 9

UNDERWATER NOISE MAPPING METHODOLOGIES FOR SHALLOW WATERS

Author: David Santos-Domínguez | Thesis advisor: Soledad Torres-Guijarro | AffiliaIon: Sonitum (TSC, Universidad de Vigo) O1 Underwater noise measurement methodologies. O2 PropagaIon Losses calculaIon using both experimental and analyIc models. O3 Study of underwater noise predicIon soWware. O4 ClassificaIon of the different noise sources available in Ría de Vigo. O5 Noise map construcIon methodologies. O6 Construc1on of an underwater noise map of Ría de Vigo.

Ría de Vigo underwater noise map recreaIon

SLIDE 10

Recommendation of Tourism Resources Supported by Crowdsourcing

Fátima Leal, University of Vigo, June 2016 – Workshop DOC-TIC

Crowdsourcing Trust & Reputation Profiling & Recommendations

Tourism Mobile Applications

 State-of-the-art review  Tourist behaviour questionnaire  Crowdsourcing data analysis  Identification

patterns and trends  Usage of Wikivoyage to design and validate Trust & Reputation mechanisms  Build the user profile (Tourists)  Recommendation

tourism resources based on the current user context and profile Next Planning Year Done

SLIDE 11

ICT IN PROMOTING BUSINESS TRAINING

PhD in ICT

WEB & MOBILE E-LEARNING APPLICATIONS

author HELDER RODRIGO SOARES PINTO ARCHITECTURE AND TELEMATIC SERVICES thesis advisor MARTÍN LLAMAS NISTAL

35 HOURS

TRADICIONAL

TRAINING

WEB MOBILE &

BUSINESS

TRAINING

BUSINESS

SPEND MORE TIME TRAVEL EXPENSES

EASY ACCESS LEARNING PACE SET BY THE TRAINEE PERMANENT AVAIL ABILITY OF CONTENT FLEXIBLE HOURS LOWER PRICES FOR THE COURSES REDUCED TRAVEL DIVERSIFICATION COURSES

LOW IN PRODUCTIVITY HIGHER PRICES

SLIDE 12

A EARLY DETECTION OF COGNITIVE IMPAIRMENT THROUGH GAMIFICATION, MACHINE LEARNING TECHNIQUES AND ICT TOOLS

MAIN GOAL: To design and develop a

DIGITAL TEST to detect early

cognitive impairment

Workshop on Monitoring PhD Student Progress June 13, 2016 Author: Sonia Mª Valladares Rodríguez [soniavr@det.uvigo.es] Advisors: Luis Anido Rifón [Full Professor]

J. Manuel Fernández Iglesias [Associate Professor]

http://panoramix.gist.det.uvigo.es/