1. inLab FIB
Presentation
Barcelona
November 2013
inLab FIB
IT Technical Director
Rosa Mª Martín
rosam@fib.upc.edu

2. Universitat Politècnica de Catalunya - Barcelona Tech (UPC)
• UPC is a public institution dedicated to research and
higher education, specialized in the fields of
architecture, science and engineering.
• Strongly committed with research and innovation with an
active international presence in networks and initiatives of
innovation. UPC is member of CLUSTER a network of
leading European Universities of Technology Research,
acts as co-location center for KIC InnoEnergy (EIT) and
was awarded by the Spanish Ministry as International
Campus of Excellence.
• UPC has participated in several European projects (FP, AAL
and others) and currently plays a partner role in 153
European projects and, in terms of their management
capability and experience, UPC is acting as a coordinator
in 40 of them. See http://www.upc.edu/euresearch/about
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3. inLab FIB
inLab FIB is an innovation and research lab of the Barcelona
School of Informatics, Universitat Politècnica de
Catalunya - Barcelona Tech (UPC)
Missions:
• R+D multidisciplinary project development and transfer
of knowledge to the society
• A professional environment focused on training and
developing the talent of our students: Talent training
program
• A learning lab specialized in informatics engineering
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4. inLab FIB
• inLab FIB has more than three decades of expertise in
developing applications using the latest ICT technologies,
collaborating in different research and innovation projects
and creating customized solutions for public
administrations, industry, large companies and SMEs.
• Located in the International Campus of Excellence BKC
(Barcelona Knowledge Campus), we keep strong alliances
and collaborations with other research groups of UPC
and international R&D collaborations (EU FP, Concert
Japan,…).
• inLab FIB integrates academic staff from different UPC
departments and its own technical staff. Graduate and
under-graduate students collaborate in R+D projects
through our Talent Program.
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5. R + D Areas of expertise
We innovate and perform research to provide solutions in
different areas of expertise.
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6. Modeling, simulation & optimization
• Event simulation applied to
transport, manufacturing, logistics
and other services
• Industrial & logistics processes
optimization
• Social simulation
• Emergency simulation
• Cloud distributed, SaaS simulation
systems
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Microscopic simulation of passengers
movements in the new terminal of the airport
of Barcelona. AENA-INDRA

7. Smart Cities
• Energy efficient building (EeB)
simulation
• Smart mobility: Dynamic ridesharing,
public transport routing, transport data
fusion, etc.
• Energy efficient transport simulation
• Contextual health-care and sports
applications
• e-participation
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8. Mobile Apps and GIS
• Mobile multimedia
• Augmented Reality
• Geolocation & tracking
• Geographic Information System
• Open Street Map
• Contextual mobile applications
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Leading the Open Street Map
initiative in the Catalonia
Spanish region

9. Collaborative Internet
• Distributed web services and
technology
• Social Media
• Multimedia information systems
• Security, authentication, single sign on
and identity management
• Accessibility
• Social networks usage and integration
into collaboration environments
• SEO, SEM, SMO
• e-participation
• Collaboration tools for software
development
• P2P
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e-Catalunya (ecatalunya.gencat.net): Social
networks & web 2.0 collaborative tools
Catalonia Government

10. Data analysis and management
• Data mining
• Dashboards , analytics and
Business Intelligence
• Data and information analysis
• Data fusion
• Learning Analytics
• Big data
• Open data
• Statistical methods for the
measurement of intangibles
(satisfaction, quality, etc.)
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Queries and large data matrix analysis for the
Centre for Opinion Studies (CEO) of the
Government of Catalonia

11. IT learning environment & services
• Learning Analytics
• Computer labs & IT enabled
learning spaces
• e-learning & virtual campus
environments
• Mobileapps learning lab
• Video life streaming &
videoconferencing
• Active learning technologies
• Information systems for the
management of studies and other
university processes
• Quality assurance systems and
analytics
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12. Security & ICT infrastructures
• Management of servers, operating
systems, data bases, web servers,
application servers
• Local networks management
• High availability environments
• Security infrastructure management
• Email, storage, printing
• Servers and applications
virtualization
• Central management of desktops and
workstations
• Forensics
• Penetration testing
• Network monitoring
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13. Smart Mobility at inLab FIB
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14. Experience in the application of optimisation and
simulation models to transportation problems:
• Public Transportation Planning
• Development of Real-Time Adaptive traffic Control Systems
• Development and testing of Mathematical Models and
Optimisation Algorithms for Transportation Planning
• Development, implementation and testing of Microscopic
and Mesoscopic traffic simulators.
• Urban logistics
• Real-time fleet management
ICT & Transports expertise

15. Agent based simulation, new generation traffic and travel
forecasting models, electronic data collection & activity
based demand modelling, real-time multimodal personal
journey planners.
Current working projects in the area of transport and smart
mobility are related with
• Traffic Data Fusion
• Dynamic Traffic Assignment
• Real-Time OD Estimation
• Advanced Traffic Information Systems
• Active Traffic Management
• Micro and Meso Traffic Simulation
• Dynamic Ridesharing
ICT & Transports Research interests

16. It is not possible to install sensors in ALL streets.
It is necessary to look for different ways
Forecasting models for traffic and travel
information
Smart mobility - Forecasting

17. In the same way as weather, Traffic may be calculated and
predicted from a limited number of sensors through the use
of models
Example: Weather forecast
Limited number of weather sensors
The model makes use of a small set of data and
provides us with detailed information
Even more: the model can predict the future
evolution of weather conditions
Meteorological
model
Traffic and travel forecasting

18. New generation traffic and travel forecasting models
• Current available models and services are useful to provide
information for long-term traffic planning or they provide
information only based on past information.
• New generation forecasting models are required to
provide high-quality traffic and travel information,
specially for short term predictions used to plan a trip.
Example of applications/projects:
• Electric vehicle trip planning
• Multimodal trip planning, combining different transport
modes
Traffic and travel forecasting

19. BCALs
GPS mobile phones
Paper questionnaire Macro
Meso
Micro
Sensor data
No operation needed
In-store data
Detailed actions observed
Long-term monitoring
Dot data Creation of path data
Practicable for a long term
Operation of instrument needed
Only GPS data Indoor data not observable
Inter-zone travel
Dependent on memory
Omission of recording of short trips
Large burden
Decrease in accuracy
Not practicable
for a long-term
Zone
Zone
Person trip survey
Probe person survey
Source: Electronic Instrument Design and User Interfaces for Activity Based Modeling (Hato & Timmermann - 2008)
Electronic Data Collection for Activity Based Demand
Modeling

20. P&R
P&R
An interactive, integrated, multimodal, real-time decision
support system (pre-trip, in-trip)
Real-Time Advanced Journey Planner

21. Traffic Data Analytics
We are working on most of the services required for Smart Mobility or for
dealing with traffic from the perspective of analytics, including data filtering,
completion and fusion, the interoperability of data and the processing of
huge amounts of data, or Big Data.
Statistical models to
identify and eliminate
the outlier
observations
Missing data
supply
Procedures of space-
time traffic state
reconstruction from
heterogeneous data
sources

22. The result of data fusion composed by flows, speeds and
travel times, with a traffic model, is a complete picture of all the
network: info for all streets, not just main avenues or streets
with sensors.
This complete picture is obtained using dynamic traffic flow
models
Dynamic traffic flow models

23. • Point to point instant dynamic ridesharing
• A pilot test is going on in a city in the
Barcelona metropolitan area to share private
vehicles to go to the train station located in
the closest city. Users can demand the
transport just a few minutes in advance.
• It uses mobile technology and a tracking
server. The main challenges of this project
are not technological but related to social and
security issues.
More information: http://inlab.fib.upc.edu/en/dynamic-ridesharing
Dynamic ridesharing

24. Rapid Prototyping: Tool/Method to support agile low cost urban
design decisions.
Used to optimize the location of elements such as traffic sensors,
eVehicle charging points, accessibility analysis or location of
emergency services, etc.
It answers the questions:
• How many?
• Where to locate them?
Based on research on Location Problems.
Rapid Prototyping for urban design

25. Decision Support System based on the Macro Fundamental Diagram and,
through the proper processing of the data from all detectors, allows to identify on
real time the present traffic state of a urban area and its evolution. This
information is the used, in combination with traffic models, for the
implementation of proactive traffic control strategies.
Decision support systems: Traffic Management

26. Mobile apps & GIS
R&D Collaborative projects
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27. • Leading OpenStreetMap in Catalonia.
• Geoservices provider: Tracking, Monitoring, Mapping,
Specific Routing, App development
• Own Tracking core used in eHealth, Sports, Transport
and industrial applications
• Privileged access to IT students and future developers
through specific Talent Program and Learning Lab
environment
More information:
https://inlab.fib.upc.edu/en/experteses/aplicacions-
mobils-i-gis
• We combine this expertise with innovation and
research in other areas.
Overview of GIS and mobile apps expertise

28. • Industrial tracking core for embedded devices
• Also Available as a mobile app
• Reporting and analysis tool
More information: http://inlab.fib.upc.edu/en/toopath-free-mobile-device-
tracking-system
Youtube: http://www.youtube.com/watch?v=HK-QGRv7kME
tooPath: Tracking Core

29. FireFIGHT: Fire Fighting by Optimization of Ground
Logistics
• Development of a decision
support tool for fire
management decision
makers, focusing mainly
on the efficient
management of ground
resources involved in
extinguishing wildfire.
• GIS platform will provide
real time information about
the location of fire fighters,
ground resources and air
resources.
• Multicriteria optimization
algorithm to minimize the
non-efficient movements of
material, and people and
to optimize resources.
• Visualization of the front
fire line evolution
More information:
https://inlab.fib.upc.edu/en/fire-fighting-
optimization-ground-logistics-firefight

30. • People with heart diseases risk
• Exercise supervised by medical professionals
• Explore a city, events & local commerce
• Share walked routes with family or friends
• OpenStreetMap technologies
More information: http://inlab.fib.upc.edu/en/citywalking
Winner over 80 proposals
City Walking: eHealth
Partners: City of Terrassa,
Mutua de Terrassa and
Terrassa’s Health
Consortium

31. • Real-time Skier tracking
• Real-time Friend information with Geocoding
• OpenStreetMap Mapping Technologies
• SMS Alarms to friends
More information: http://inlab.fib.upc.edu/en/skitraces http://www.skitraces.com
Youtube: http://www.youtube.com/watch?v=pNj6gGpm8rQ
SkiTraces: Ski + GIS

32. • Realtime Runners & Race staff tracking
• Alarm system & call to Race staff
• Battery level control for long races
More information: http://inlab.fib.upc.edu/en/sporttraces
SportTraces: Running + GIS

33. Augmented reality in the Archeological Museum of
Catalonia
• Mobile augmented reality application to allow visitors of
Olèrdola Castle to discover in a free way around points of
interest that show the history of the emplacement
• Augmented reality, HTML5
More information: http://inlab.fib.upc.edu/en/bringing-augmented-reality-mac
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34. ALSTOM Project
• Web application that allows the user to locate the position of
all trains that are operating at a given moment.
• Remote collection of train incidences, that are displayed in
real time using a geographical map (OpenStreetMap) and a
web browser.
• It’s been used for early detection of incidences in AVE and
AVANT trains and maintenance planning improvement.
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http://inlab.fib.upc.edu/en/alstom-project

35. • Social intranet & mobile app
• Federated social network technology: Activity Stream
• Interconnection with the information systems of the UPC via
SOA
SomUPC
18/03/2
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36. Other example of collaborative projects:
http://inlab.fib.upc.edu/en/projectes
Some examples…
18/03/2
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37. In4Mo. Advance Information System for the Mobility of
People and Vehicles
• Combine traditional traffic supervision technologies with the
latest available or soon to be available ICT.
• Data Filtering, Merging and Completion Module.
– Filtering of data, integration of new types of data that had not
traditionally been used in traffic information systems, especially
those that allow real-time treatment of information.
– Development of completion models for missing data coming from
the ICTs.
– Development of data merging models that combine large amounts
of data sources unprecedented in the field of traffic.
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Avanza Competitividad R&D (2010-2012)
Program
http://inlab.fib.upc.edu/en/in4mo-advance-information-system-mobility-people-
and-vehicles

38. Energy consumption optimization
• Improve energy efficiency in underground Manless Train
Operation
• Non linear optimization. Aprox. 7% energy saving
• L9 is the first metro line without driver in Spain, and one of
the largest and modern automatic line without driver of the
World
• C#, Visual Basic for Applications, CAD automation, Petri
nets
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http://inlab.fib.upc.edu/en/energy-consumption-optimization

39. NZEB. Opti-Sim in Sustainability
• Co-operative simulator for evaluation, analysis and
optimization of sustainability (environmental, economic and
social) in order to identify the best solutions for building
design and construction of NZEB (Net Zero Energy
Buildings)
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http://inlab.fib.upc.edu/en/nzeb-opti-sim-sustainability

40. Simulation of demographic evolution of a population
• Highly scalable simulator to study the
demographic evolution of a population and
to reproduce the internal interactions
among individuals.
• It’s a tool to help in analysis and decision
making processes for policy (for example
in migration policies).
• It uses agent-based modeling and
supercomputing and can be applied and
extended to other research areas such as
economics, archeology, psychology or
sociology.
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http://inlab.fib.upc.edu/en/parallel-simulation-analysis-population-dynamics-
high-performance-environments

41. RAFFI: Online Banking AntiFraud Detection System
• Pioneering research that seeks to
optimize the prevention and real-
time detection of financial fraud
attempts against different channels
of electronic banking (web, mobile
phones and digital television).
• Modelling based on users’ behaviour
• Detection of mules and man in the
browser attacks
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http://inlab.fib.upc.edu/en/raffi-investigacion-de-herramientas-antifraude-
financiero-por-internet

42. e-Catalunya Project
• Group collaboration, e-participation and social
networking platform that enables the Catalonia
Autonomic Government to offer collaborative
portal services to different users and professional
groups.
• Combines powerful collaboration tools (wiki, blog)
with more traditional tools (discussion forum,
calendar, distribution list, file archive)
• Selected for the European eGovernment Awards
2009 in the eGovernment enabling administrative
efficiency and effectiveness category
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http://inlab.fib.upc.edu/en/e-catalunya-project

43. Data Fusion of the Catalan Health Survey
• Data fusion was applied to a
small examination-based sample.
The objective was to improve the
prediction of the Cardiovascular
Diseases and Diabetes.
• Colaboration with IDESCAT
(Catalan Institut for Statistics) for
the 2006 Catalan Health Survey
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http://inlab.fib.upc.edu/en/data-fusion-health-survey

44. RegControl: Planner of irrigation and validation
module
• RegControl® is a service that manages on-farm irrigation
on behalf of farmers
• Using advanced agricultural knowledge, state-specific
parameterization and daily meteorological and field data,
RegControl® optimizes the irrigation schedule, implements
it, verifies the field results and notifies any anomalies
• Metaheuristic local search algorithm, non linear
optimization, C#
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http://inlab.fib.upc.edu/en/regcontrol-planner-irrigation-and-validation-module

45. Simulation of the implementation of a fleet of AGV in
the Prat de Llobregat production plant
• Integration of a fleet of automated guided vehicles (AGV)
• Optimize movements in order to serve the planned daily
production planning and to detect dead-locks points
• Real time simulation embedded in the production system.
The simulator has been used as a replacement of the real
plant in order to test and improve the AGV mission and AGV
control system
• Arena simulator
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http://inlab.fib.upc.edu/en/simulation-implementation-fleet-agv-production-plant

46. • Collaborative environment for the network of excellence
and integration of other collaboration and dissemination
tools. Co-leading WP3 - Electronic Communication Tools
• BONE aims to integrate and disseminate the research on
optical networks and communications that is being
performed in Europe, as well as to demonstrate the
advantages in the use of optical technologies over
electronic ones in communications networks.
BONE Network of Excellence
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BONE is a Network of
Excellence funded by the
European Commission
through the 7th ICT-
Framework Program
http://inlab.fib.upc.edu/en/bone-network-excellence

47. Partners
• See full list at http://inlab.fib.upc.edu/en/col-laboradors
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Members of:

48. Talent Program
A professional environment focused on training and
developing the talent of our students
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49. Granting and Training system: inLab TALENT Program
Direct access to students:
the future mobile developers,
IT professionals and entrepreneurs
inLab Talent Program
Currently sponsored by:

50. inLab Talent mission
The main objective of the program is that students
taking part assimilate values​​, skills and abilities
additional and complementary to those obtained in
their studies, boosting their employability as future
professionals, encouraging their entrepreneurial,
creativity and innovation abilities, and responding
to the commitment of the economic transformation
based on the knowledge society.
The project especially emphasizes the following
values​​, skills and abilities:
And other skills depending on the specific training
program.
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51. • 6 specific Talent Training programs using
learning-by-doing and skills-oriented
methodology.
• Mobile applications and Mobile Business
• Data analysis and processing & business
intelligence
• Collaborative web based environments
• Geo-services and smart cities
• Simulation and optimization
• ICT infrastructure management
• Last semester: in-company &
international activities
inLab Talent Program
http://inlab.fib.upc.edu/en/talent-training-program

52. inLab Talent students
• We incorporate UPC graduate and under-graduate students
offering them the opportunity to collaborate in real R+D
projects.
• This practical experience may lead to a student completing
their Final Project, Masters Thesis or PhD.
• Local or International students from the currently degrees
offered by the Barcelona School of Informatics are
welcomed:
– Erasmus Mundus Masters: DMKM, Data Mining and
Knowledge Management; IT4BI, Information
Technologies for Business Intelligence; EMDC,
Distributed Computing.
– International Master in Innovation and Research in
Informatics
– Master of Informatics Engineering
– Master in Artificial Intelligence
– Bachelor in Informatics Engineering
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53. Learning Lab specialized in informatics engineering

54. We provide support service to students, professors and other staff at the FIB.
Our services are specially adapted to the needs of informatics
engineering studies.
• Services are designed to allow students to do advanced laboratory
practices on computer security or administration of operating systems,
without compromising other computers.
• We also configure security settings for tests involved in continuous
assessment and the exam period that take place at the computer rooms.
• The Racó, our Intranet, and Atenea, UPC virtual campus, make
collaboration and learning easier and improve the efficiency of the
processes of the FIB.
• The Mobile Apps Learning Lab is a combination of services designed to
facilitate and enhance the learning of technologies associated with mobile
applications.
• inLab FIB also provides printing service, equipment loan, and other
services
More information at: http://www.fib.upc.edu/en/serveis.html
Services to support learning processes
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55. inLab FIB. Computer labs
• 21 computer rooms – 373 PCs (Windows,
Linux) on 1500 m2.
• Special environments for operating
systems labs.
• 2 workgroup class
• Laptops, electronic paper displays, etc. for
lending
• More than 1.000 network connections
(1Gbps) + 19 WIFI access points connected
to EDUROAM (www.eduaroam.org)
• More than 150 software products managed

56. MobileApps Learning Lab
• Suite of services designed to facilitate and
enhance learning of technologies
associated with mobile applications.
• Oriented to a community of students highly
motivated towards mobile technologies and
with excellent development skills
• Public repository of mobile applications
developed by FIB students as either course
work or final projects.
• Loan of mobile phones, access to developer
programs
• Access to public open data and platforms
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57. • iOS and Android apps allowing students to access
information on the FIB intranet (the Racó) and on the web:
news, location of buildings, occupation of classrooms,
courses information, courses notices, mail and personal
timetable and calendar
• Web services layer using OAuth, allowing our students to
develop new services accessing FIB data
• Web Services, Java Objective-C, OAuth
Racó Mobile
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58. Contact us
http://inlab.fib.upc.edu
inlab@fib.upc.edu
+34 93 401 69 41
c/ Jordi Girona 1-3
Campus Nord. Edifici B6
08034 Barcelona
Spain
Twitter: @inLabFIB
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