SlideShare una empresa de Scribd logo
1 de 13
THEORETICAL MODELS ON OPTIMIZATION AND
MANAGEMENT OF UTILITY SERVICES
Victoria López, PhD, head of G-TeC group
www.tecnologiaUCM.es
May, 2014
Southwest Jiaotong University
Chengdu, China
Complutense University
Madrid, Spain
Sonora University
Hermosillo, Mexico
OMUS: Theoretical Models on Optimization
of the Utility Services
• Energy:
o Pricing and Consumption
• Water:
o Distribution and Consumption
• Waste:
o Recycling and Reduction
Proposal Acronym:
OMUS 2014-2018
Type of Founding Scheme: Collaborative
project University – Industry.
Large-scale integrating international project.
2
Motivation - Abstract
• The main objective of this project will be energy conservation, waste
recycling and reduction, waste collection and transport route
optimization, and water conservation and optimization.
• This project aims to combine both work and research output to obtain a set of
indices, measurements, and industry-appropriate optimization models in many
countries.
• Partners from Industry, together with Universities, are collaborating on this
project in order to obtain the best rates of usability, improve know-how, refine
models and test results. A working agenda and frequent meetings among
participant are crucial for the duration of the project.
3
Research Members
• Spain: G-Tec Research Group. Universidad Complutense, Madrid
• China: Southwest Jiaotong University, Chengdu
• Mexico: Sonora University, Hermosillo
• Way of Collaboration: Signed agreements between universities (Spain-
China; Spain-Mexico)
• Expertise Lead (by utility service) :
o China-Waste Recycling; Spain- Energy; Mexico- Water;
4
Research Members and External Members
M1: G-TeC Research group, Faculty of Informatics, Universidad Complutense de Madrid, SPAIN
Coordinator: Victoria López, vlopez@fdi.ucm.es, Tel.: +34913947573 (office) +34629975771 (cell)
Energy optimization; Electricity market analysis; Optimization of the process of domestic waste recycling
Software engineering projects with Big and Open Data.
M2: Faculty of Geo-sciences and Environmental Engineering, Southwest Jiaotong University, CHINA
Coordinator: Dan Liu, liudan-swju@163.com
Household garbage recycling and reduction; Collection and transport route optimization for municipal solid waste;
Accelerating stabilization and groundwater pollution control of landfill.
M3: Faculty of Administration Informatics, Sonora University, MEXICO
Coordinator: Arturo Alejandro Meza, ameza@pitic.uson.mx
Water optimization; Collection and transport route optimization for municipal water;
Statistical analysis and market research.
Spanish External Members (tentative): researching in collaboration with industry via bilateral agreements (Phase 1)
5
Academia & Industry Working Together
OMUS
Industry
know-how
and
expertise
Data
Collection
Big Data
and
Analytics
Patents,
Intellectual
Property
and other
output
Doctoral
Thesis: joint
guidance
University
Theoretical
Models &
Research
6
Phases at a Glance
7
Work Packages:
WP1: Specification and bilateral agreements with
industry
WP2: Data collection and integration: Water
Optimization
WP3: Data collection and integration: Energy
Optimization
WP4: Data collection and integration: Recycling &
Waste Reduction Optimization
WP5: Data integration, classification and subsequent
evaluation of new models.
WP6: Analysis and model implementation: Water
WP7: Analysis and model implementation: Energy
WP8: Analysis and model implementation: Waste
Recycling and Reduction
WP9: Reporting and patents.
WP10: Doctoral thesis development.
Publications.
Phase1Phase2Phase3Phase4
8
Background and OMUS Today
- 2011: Southwest Jiaotong University and Complutense University sign
agreement document. A previous similar agreement already signed between
UCM in Madrid and USON in Hermosillo.
- 2008-2014: G-TeC research group serves on scientific committees as well as
organizing committees of several international conferences in the PRC:
- FLINS 2008, Xiamen;
- FLINS 2010, Chengdu;
- ISKE 2011, Shanghai;
- ISKE 2012, Beijing;
- ISKE 2013, Shen Zhen;
- PIC 2014, Shanghai
- Research groups discussed new issues regarding utility services and agreed upon
improvements in modeling. Meetings in Hermosillo, October, 2013; Shanghai,
May 2014, Madrid, July 2014.
- All partners are now working together on Phase 1 and Phase 2, mainly on data
collection and integration from public Open Data Bases and their storage and
organized distribution in suitable servers on the cloud to be ready to scale in size
and computing.
9
More background
Agreement of cooperation between G-TeC research group and Madrid City
Environmental Department. Development of apps for recycling and other
social activities in health and wellness.
Other agreements with Spanish Industry for improvement of the research
and common aims of analysis.
We are OPEN
We are open to collaborate with other researching groups or students
from universities/business/research centers which want to share our
challenges with great motivation on these amazing areas.
Open also to drive together a way to European Projects within Horizon
2020 or other private or public funding.
10
11
Other related work
Mobile Apps on Open Data for Madrid Smartcity
- Recycla.me, Recyclate!
- Rmap, Retiro gardens, Walking People
- Habitat, SafeSchools
- MyConference
Cooperation on FIBED (Foro Iberoamericano) on
Conservación del Patrimonio.
12
Please contact:
Victoria López on behalf of the OMUS Project
@VictoriadeMates
Facultad de Informática
Universidad Complutense de Madrid
Office 309,
Cell: +34629975771
Tel: +34913947573
Fax: +34913947527
vlopez@fdi.ucm.es
www.tecnologiaUCM.es
13

Más contenido relacionado

Similar a Omus presentation 26 may2014

Webinar series: Public engagement, education and outreach for carbon capture ...
Webinar series: Public engagement, education and outreach for carbon capture ...Webinar series: Public engagement, education and outreach for carbon capture ...
Webinar series: Public engagement, education and outreach for carbon capture ...
Global CCS Institute
 

Similar a Omus presentation 26 may2014 (20)

2. GTC-K Introduction
2. GTC-K Introduction2. GTC-K Introduction
2. GTC-K Introduction
 
Winning ITNs with RRI - Relevant sources and further reading
Winning ITNs with RRI - Relevant sources and further readingWinning ITNs with RRI - Relevant sources and further reading
Winning ITNs with RRI - Relevant sources and further reading
 
CODATA: Open Data, FAIR Data and Open Science/Simon Hodson
CODATA: Open Data, FAIR Data and Open Science/Simon HodsonCODATA: Open Data, FAIR Data and Open Science/Simon Hodson
CODATA: Open Data, FAIR Data and Open Science/Simon Hodson
 
The SWIMing project
The SWIMing projectThe SWIMing project
The SWIMing project
 
Enabling Re-Use and Sustainability: The role of information infrastructure fu...
Enabling Re-Use and Sustainability: The role of information infrastructure fu...Enabling Re-Use and Sustainability: The role of information infrastructure fu...
Enabling Re-Use and Sustainability: The role of information infrastructure fu...
 
Organisational Interoperability in Practice at Universidad Politécnica de Madrid
Organisational Interoperability in Practice at Universidad Politécnica de MadridOrganisational Interoperability in Practice at Universidad Politécnica de Madrid
Organisational Interoperability in Practice at Universidad Politécnica de Madrid
 
TCI 2013 Regional smart specialization realities from an issues stand point
TCI 2013 Regional smart specialization realities from an issues stand pointTCI 2013 Regional smart specialization realities from an issues stand point
TCI 2013 Regional smart specialization realities from an issues stand point
 
Ima g ine2014_8c1report
Ima g ine2014_8c1reportIma g ine2014_8c1report
Ima g ine2014_8c1report
 
GilZhengsmartshanghai
GilZhengsmartshanghaiGilZhengsmartshanghai
GilZhengsmartshanghai
 
Modeling of future transport systems from different point of views: data, tec...
Modeling of future transport systems from different point of views: data, tec...Modeling of future transport systems from different point of views: data, tec...
Modeling of future transport systems from different point of views: data, tec...
 
Jarkko Siren, European Commission #RLUK14
Jarkko Siren, European Commission #RLUK14Jarkko Siren, European Commission #RLUK14
Jarkko Siren, European Commission #RLUK14
 
SMART GROUND Poster
SMART GROUND Poster SMART GROUND Poster
SMART GROUND Poster
 
Essays on the Smart Grid
Essays on the Smart GridEssays on the Smart Grid
Essays on the Smart Grid
 
H2020 Open Research Data pilot
H2020 Open Research Data pilotH2020 Open Research Data pilot
H2020 Open Research Data pilot
 
Webinar series: Public engagement, education and outreach for carbon capture ...
Webinar series: Public engagement, education and outreach for carbon capture ...Webinar series: Public engagement, education and outreach for carbon capture ...
Webinar series: Public engagement, education and outreach for carbon capture ...
 
Open Data and Big Data Capacity Building Initiative
Open Data and Big Data Capacity Building InitiativeOpen Data and Big Data Capacity Building Initiative
Open Data and Big Data Capacity Building Initiative
 
Open Source & Open Data Session report from imaGIne 2014 Conference
Open Source & Open Data Session report from imaGIne 2014 ConferenceOpen Source & Open Data Session report from imaGIne 2014 Conference
Open Source & Open Data Session report from imaGIne 2014 Conference
 
CV_2015
CV_2015CV_2015
CV_2015
 
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"eventSusanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
Susanna Sansone at the Knowledge Dialogues/ODHK "Beyond Open"event
 
Chapter 16
Chapter 16Chapter 16
Chapter 16
 

Más de Victoria López

Más de Victoria López (20)

Alan turing uva-presentationdec-2019
Alan turing uva-presentationdec-2019Alan turing uva-presentationdec-2019
Alan turing uva-presentationdec-2019
 
Seminar UvA 2018- socialbigdata
Seminar UvA  2018- socialbigdataSeminar UvA  2018- socialbigdata
Seminar UvA 2018- socialbigdata
 
Jornada leiden short
Jornada leiden shortJornada leiden short
Jornada leiden short
 
BIG DATA EN CIENCIAS DE LA SALUD Y CIENCIAS SOCIALES
BIG DATA EN CIENCIAS DE LA SALUD Y CIENCIAS SOCIALESBIG DATA EN CIENCIAS DE LA SALUD Y CIENCIAS SOCIALES
BIG DATA EN CIENCIAS DE LA SALUD Y CIENCIAS SOCIALES
 
ICCES'2016 BIG DATA IN HEALTHCARE AND SOCIAL SCIENCES
ICCES'2016  BIG DATA IN HEALTHCARE AND SOCIAL SCIENCESICCES'2016  BIG DATA IN HEALTHCARE AND SOCIAL SCIENCES
ICCES'2016 BIG DATA IN HEALTHCARE AND SOCIAL SCIENCES
 
Presentación Gupo G-TeC en Social Big Data
Presentación Gupo G-TeC en Social Big DataPresentación Gupo G-TeC en Social Big Data
Presentación Gupo G-TeC en Social Big Data
 
Big data systems and analytics
Big data systems and analyticsBig data systems and analytics
Big data systems and analytics
 
Big Data. Complejidad,algoritmos y su procesamiento
Big Data. Complejidad,algoritmos y su procesamientoBig Data. Complejidad,algoritmos y su procesamiento
Big Data. Complejidad,algoritmos y su procesamiento
 
APLICACIÓN DE TÉCNICAS DE OPTIMIZACIÓN Y BIG DATA AL PROBLEMA DE BÚSQUEDA...
APLICACIÓN DE TÉCNICAS DE OPTIMIZACIÓN Y BIG DATA AL PROBLEMA DE BÚSQUEDA...APLICACIÓN DE TÉCNICAS DE OPTIMIZACIÓN Y BIG DATA AL PROBLEMA DE BÚSQUEDA...
APLICACIÓN DE TÉCNICAS DE OPTIMIZACIÓN Y BIG DATA AL PROBLEMA DE BÚSQUEDA...
 
G te c sesion1a-bioinformatica y big data
G te c sesion1a-bioinformatica y big dataG te c sesion1a-bioinformatica y big data
G te c sesion1a-bioinformatica y big data
 
G te c sesion1b-casos de uso
G te c sesion1b-casos de usoG te c sesion1b-casos de uso
G te c sesion1b-casos de uso
 
G te c sesion2a-data collection
G te c sesion2a-data collectionG te c sesion2a-data collection
G te c sesion2a-data collection
 
G tec sesion2b-host-cloud y cloudcomputing
G tec sesion2b-host-cloud y cloudcomputingG tec sesion2b-host-cloud y cloudcomputing
G tec sesion2b-host-cloud y cloudcomputing
 
G te c sesion3a-bases de datos modernas
G te c sesion3a-bases de datos modernasG te c sesion3a-bases de datos modernas
G te c sesion3a-bases de datos modernas
 
G te c sesion3b- mapreduce
G te c sesion3b- mapreduceG te c sesion3b- mapreduce
G te c sesion3b- mapreduce
 
G te c sesion4a-bigdatasystemsanalytics
G te c sesion4a-bigdatasystemsanalyticsG te c sesion4a-bigdatasystemsanalytics
G te c sesion4a-bigdatasystemsanalytics
 
G te c sesion4b-complejidad y tpa
G te c sesion4b-complejidad y tpaG te c sesion4b-complejidad y tpa
G te c sesion4b-complejidad y tpa
 
Open Data para Smartcity-Facultad de Estudios Estadísticos
Open Data para Smartcity-Facultad de Estudios EstadísticosOpen Data para Smartcity-Facultad de Estudios Estadísticos
Open Data para Smartcity-Facultad de Estudios Estadísticos
 
Deep Learning + R by Gabriel Valverde
Deep Learning + R by Gabriel ValverdeDeep Learning + R by Gabriel Valverde
Deep Learning + R by Gabriel Valverde
 
Fortune Time Institute: Big Data - Challenges for Smartcity
Fortune Time Institute: Big Data - Challenges for SmartcityFortune Time Institute: Big Data - Challenges for Smartcity
Fortune Time Institute: Big Data - Challenges for Smartcity
 

Último

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 

Omus presentation 26 may2014

  • 1. THEORETICAL MODELS ON OPTIMIZATION AND MANAGEMENT OF UTILITY SERVICES Victoria López, PhD, head of G-TeC group www.tecnologiaUCM.es May, 2014 Southwest Jiaotong University Chengdu, China Complutense University Madrid, Spain Sonora University Hermosillo, Mexico
  • 2. OMUS: Theoretical Models on Optimization of the Utility Services • Energy: o Pricing and Consumption • Water: o Distribution and Consumption • Waste: o Recycling and Reduction Proposal Acronym: OMUS 2014-2018 Type of Founding Scheme: Collaborative project University – Industry. Large-scale integrating international project. 2
  • 3. Motivation - Abstract • The main objective of this project will be energy conservation, waste recycling and reduction, waste collection and transport route optimization, and water conservation and optimization. • This project aims to combine both work and research output to obtain a set of indices, measurements, and industry-appropriate optimization models in many countries. • Partners from Industry, together with Universities, are collaborating on this project in order to obtain the best rates of usability, improve know-how, refine models and test results. A working agenda and frequent meetings among participant are crucial for the duration of the project. 3
  • 4. Research Members • Spain: G-Tec Research Group. Universidad Complutense, Madrid • China: Southwest Jiaotong University, Chengdu • Mexico: Sonora University, Hermosillo • Way of Collaboration: Signed agreements between universities (Spain- China; Spain-Mexico) • Expertise Lead (by utility service) : o China-Waste Recycling; Spain- Energy; Mexico- Water; 4
  • 5. Research Members and External Members M1: G-TeC Research group, Faculty of Informatics, Universidad Complutense de Madrid, SPAIN Coordinator: Victoria López, vlopez@fdi.ucm.es, Tel.: +34913947573 (office) +34629975771 (cell) Energy optimization; Electricity market analysis; Optimization of the process of domestic waste recycling Software engineering projects with Big and Open Data. M2: Faculty of Geo-sciences and Environmental Engineering, Southwest Jiaotong University, CHINA Coordinator: Dan Liu, liudan-swju@163.com Household garbage recycling and reduction; Collection and transport route optimization for municipal solid waste; Accelerating stabilization and groundwater pollution control of landfill. M3: Faculty of Administration Informatics, Sonora University, MEXICO Coordinator: Arturo Alejandro Meza, ameza@pitic.uson.mx Water optimization; Collection and transport route optimization for municipal water; Statistical analysis and market research. Spanish External Members (tentative): researching in collaboration with industry via bilateral agreements (Phase 1) 5
  • 6. Academia & Industry Working Together OMUS Industry know-how and expertise Data Collection Big Data and Analytics Patents, Intellectual Property and other output Doctoral Thesis: joint guidance University Theoretical Models & Research 6
  • 7. Phases at a Glance 7
  • 8. Work Packages: WP1: Specification and bilateral agreements with industry WP2: Data collection and integration: Water Optimization WP3: Data collection and integration: Energy Optimization WP4: Data collection and integration: Recycling & Waste Reduction Optimization WP5: Data integration, classification and subsequent evaluation of new models. WP6: Analysis and model implementation: Water WP7: Analysis and model implementation: Energy WP8: Analysis and model implementation: Waste Recycling and Reduction WP9: Reporting and patents. WP10: Doctoral thesis development. Publications. Phase1Phase2Phase3Phase4 8
  • 9. Background and OMUS Today - 2011: Southwest Jiaotong University and Complutense University sign agreement document. A previous similar agreement already signed between UCM in Madrid and USON in Hermosillo. - 2008-2014: G-TeC research group serves on scientific committees as well as organizing committees of several international conferences in the PRC: - FLINS 2008, Xiamen; - FLINS 2010, Chengdu; - ISKE 2011, Shanghai; - ISKE 2012, Beijing; - ISKE 2013, Shen Zhen; - PIC 2014, Shanghai - Research groups discussed new issues regarding utility services and agreed upon improvements in modeling. Meetings in Hermosillo, October, 2013; Shanghai, May 2014, Madrid, July 2014. - All partners are now working together on Phase 1 and Phase 2, mainly on data collection and integration from public Open Data Bases and their storage and organized distribution in suitable servers on the cloud to be ready to scale in size and computing. 9
  • 10. More background Agreement of cooperation between G-TeC research group and Madrid City Environmental Department. Development of apps for recycling and other social activities in health and wellness. Other agreements with Spanish Industry for improvement of the research and common aims of analysis. We are OPEN We are open to collaborate with other researching groups or students from universities/business/research centers which want to share our challenges with great motivation on these amazing areas. Open also to drive together a way to European Projects within Horizon 2020 or other private or public funding. 10
  • 11. 11
  • 12. Other related work Mobile Apps on Open Data for Madrid Smartcity - Recycla.me, Recyclate! - Rmap, Retiro gardens, Walking People - Habitat, SafeSchools - MyConference Cooperation on FIBED (Foro Iberoamericano) on Conservación del Patrimonio. 12
  • 13. Please contact: Victoria López on behalf of the OMUS Project @VictoriadeMates Facultad de Informática Universidad Complutense de Madrid Office 309, Cell: +34629975771 Tel: +34913947573 Fax: +34913947527 vlopez@fdi.ucm.es www.tecnologiaUCM.es 13

Notas del editor

  1. Esta plantilla se puede usar como archivo de inicio para proporcionar actualizaciones de los hitos del proyecto. Secciones Para agregar secciones, haga clic con el botón secundario del mouse en una diapositiva. Las secciones pueden ayudarle a organizar las diapositivas o a facilitar la colaboración entre varios autores. Notas Use la sección Notas para las notas de entrega o para proporcionar detalles adicionales al público. Vea las notas en la vista Presentación durante la presentación. Tenga en cuenta el tamaño de la fuente (es importante para la accesibilidad, visibilidad, grabación en vídeo y producción en línea) Colores coordinados Preste especial atención a los gráficos, diagramas y cuadros de texto. Tenga en cuenta que los asistentes imprimirán en blanco y negro o escala de grises. Ejecute una prueba de impresión para asegurarse de que los colores son los correctos cuando se imprime en blanco y negro puros y escala de grises. Gráficos y tablas En breve: si es posible, use colores y estilos uniformes y que no distraigan. Etiquete todos los gráficos y tablas.
  2. ¿Sobre qué es el proyecto ? Defina el objetivo del proyecto ¿Es similar a otros proyectos anteriores o es nuevo? Defina el ámbito del proyecto ¿Es un proyecto independiente o está relacionado con otros proyectos? * Tenga en cuenta que no se necesita esta diapositiva para las reuniones semanales
  3. * Si alguno de estos problema causaron una demora en el programa o se deben analizar en profundidad, coloque los detalles en la siguiente diapositiva.
  4. Si hay más de un problema, duplique esta diapositiva tantas veces como sea necesario. Ésta y las diapositivas relacionadas se pueden colocar en el apéndice u ocultarlas si fuera necesario.
  5. ¿Cuáles son las dependencias que afectan a la escala de tiempo, costo y resultado de este proyecto?
  6. Las siguientes diapositivas muestran distintos ejemplos de escalas de tiempo con elementos gráficos SmartArt. Incluya una escala de tiempo del proyecto, donde se indiquen claramente los hitos y fechas importantes, y resalte dónde se encuentra el proyecto en este momento.