Big data meeting Cloud and IoT for empowering the citizen clout in smart cities

Risultati finali

Report describing data collection tools and integration into overall architecture with analysis of requirements and overall system design for flow based programming and design of the self-aware mechanisms for adaptability and dependability.

Second year update dissemination and exploitation plan

It will update the progress on activities for the second year.

Analysis of existing reusable European and Japanese assets

This deliverable will contain the description of existing assets from both EU and JP side (partners assets, SOTA technologies, open source components, etc.) and provide a SWOT analysis for the reusability of those assets.

Citizen centric use cases and requirements

This deliverable will provide a selection of use cases from the partner cities, which will be identified by taking into account citizens’ real needs and requirements.

Self-aware distributed city data platform – first release

This deliverable will provide the description of the data collection and software tools including data distribution and the self-aware mechanisms for adaptability and dependability.

Programmable smart city – observations, and lessons

Final report discussing the overall system and tools as well as observations and lessons learnt from the development and deployment in support of WP4 integration and pilot demonstrators.

Initial pilot operation plan

Common pilot approach including details of the strategy for involving citizens in the design, personal data management, the actual trials and the evaluation phases.

Big Data Analytics Framework report - first release

This deliverable consists in a technical report of the first version of the Big Data Analytics Framework.

First year update to the dissemination and exploitation plan including first progress on business models

It will update the initial dissemination and exploitation plan and progress on activities. It will also include an updated version of the market analysis, stakeholder analysis, competitors analysis, value proposition and business model using as starting point the results of the ClouT project.

First BigClouT architecture

This deliverable will provide the first version of the BigClouT architecture, describing its components and relations amongst them.

Final pilot operation plan

This deliverable will contain the update to the pilot operation approach initially planned based on the feedbacks from the interactions with the citizens, cities and the technical work packages.

Updated use cases, requirements and architecture

This deliverable will provide the final choice of the use cases, as well as the second and final iteration of the requirements and architecture specification. The final version will take into account the feedback and lessons learnt during the developments of the first year.

Big Data Analytics Framework Architecture

This deliverable contains a report about the logical architecture of the tools and frameworks of this work package.

Big Data Analytics Framework report - final release

This deliverable consists in a technical report of the final version of the Big Data Analytics Framework.

Big Data Analytics Framework Prototype

This deliverable consists in the first release of the Big Data Analytics Framework.

Self-aware programmable city data platform - demonstration

This deliverable will demonstrate the self-aware city data platform integrating data collection and software tools, self-adaptability and dependability properties and its integration with the programming tools.

Distributed data flow programming tool

This deliverable will provide the description of the programming tool incorporating FOG/Cloudlets components.

Integrated use cases and first large-scale deployments and experimentation

It will provide the prototypes showcasing the implementation and experimentation of the integrated application scenarios as live trials in the associated cities. The prototypes will have a number of internal releases corresponding to the development progress but will be demonstrated at the project review meeting.

Integrated BigClouT platform

This deliverable provides a prototype integrating components from WP2 and WP3 and demonstrates how those components operate in an interoperable and dependable way. The prototype will be demonstrated with scenarios during the final review meeting.

Integrated use cases and final large-scale deployment and experimentation

It will provide the final prototypes showcasing the implementation and experimentation of the integrated application scenarios as live trials in the associated cities.

Data collection and redistribution framework - demonstration

First demonstrator of data collection and software tools including data distribution

Visual Identity and project website

This deliverable will set-up the communication toolkit and banding around the BigClouT project as well as an initial version of the project Website containing all public information on the project objectives, partners and workplan.

Pubblicazioni

Recency-based Candidate Selection for Efficient Entity Linking

Autori: Saki Nagaki, Hiroyuki Kitagawa
Pubblicato in: Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), Numero Dec. 4-6, 2017, 2017, Pagina/e 405-414
Editore: ACM

GANonymizer: Image Anonymization Method Integrating Object Detection and Generative Adversarial Network

Autori: Tomoki Tanimura, Makoto Kawano, Takuro Yonezawa, Jin Nakazawa
Pubblicato in: Urb-IoT2018, Numero November 21st 2018, 2018
Editore: -

An Index-based Secure Query Processing Scheme for Outsourced Databases

Autori: Kento Akiyama, Chisato Shinozuka, Chiemi Watanabe, Toshiyuki Amagasa, Hiroyuki Kitagawa
Pubblicato in: Proc. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS 2017), Numero Dec. 4-6, 2017., 2017, Pagina/e 215-223
Editore: ACM

CityFlow: exploiting edge computing for large scale smart city applications

Autori: Nam Giang, Victor Leung (The University of British Columbia, Canada), Makoto Kawano, Takuro Yonezawa, Jin Nakazawa (Keio University, Japan), Rodger Lea and Matt Broadbent (Lancaster University, U.K.)
Pubblicato in: IWBigDataCity 2019 - 1st International Workshop on Big data, cloud, and IoT technologies for smart cities - In conjunction with IEEE BigComp 2019, Numero February 27th , 2019, 2019
Editore: IWBigDataCity 2019

Soft-Goal Approximation Context Awareness of Goal-Driven Self-Adaptive Systems

Autori: Aurelien Vialon, Kenji Tei, Samir Aknine
Pubblicato in: 2017 IEEE International Conference on Autonomic Computing (ICAC), 2017, Pagina/e 233-238, ISBN 978-1-5386-1762-5
Editore: IEEE
DOI: 10.1109/icac.2017.25

StreamingCube-Based Analytical Framework for Environmental Data Analysis

Autori: Savong Bou, Hiroaki Shiokawa, Yasuhiro Hayase, Hiroyuki Kitagawa
Pubblicato in: 2019 IEEE International Conference on Big Data and Smart Computing (BigComp), 2019, Pagina/e 1-8, ISBN 978-1-5386-7789-6
Editore: IEEE
DOI: 10.1109/bigcomp.2019.8679149

A Development of Participatory Sensing System for Foreign Visitors in PBL

Autori: Shuta Nakamae, Wataru Sakamoto, Tetsuya Negishi, Shuhei Goto, Buntarou Shizuki, Chiemi Watanabe, Toshiyuki Amagasa
Pubblicato in: 10th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2018), Numero March 19-21, 2018, 2018
Editore: Springer

CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications

Autori: Makoto Kawano, Takuro Yonezawa, Tomoki Tanimura, NamKy Giang, Matthew Broadbent, Rodger Lea, Jin Nakazawa
Pubblicato in: Urb-IoT2018, Numero November 21st 2018, 2018
Editore: -

Recommendation Service for Big Data Applications in Smart Cities

Autori: Georgios Palaiokrassas, Vassilios Charlaftis, Antonios Litke, Theodora Varvarigou
Pubblicato in: 2017 International Conference on High Performance Computing & Simulation (HPCS), 2017, Pagina/e 217-223, ISBN 978-1-5386-3250-5
Editore: IEEE
DOI: 10.1109/hpcs.2017.41

An IoT Architecture for Personalized Recommendations over Big Data Oriented Applications

Autori: Georgios Palaiokrassas, Ilias Karlis, Antonios Litke, Vassilios Charlaftis, Theodora Varvarigou
Pubblicato in: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), Numero 11 September 2017, 2017, Pagina/e 475-480, ISBN 978-1-5386-0367-3
Editore: IEEE
DOI: 10.1109/compsac.2017.59

Learning environment model at runtime for self-adaptive systems

Autori: Moeka Tanabe, Kenji Tei, Yoshiaki Fukazawa, Shinichi Honiden
Pubblicato in: Proceedings of the Symposium on Applied Computing - SAC '17, 2017, Pagina/e 1198-1204, ISBN 9781-450344869
Editore: ACM Press
DOI: 10.1145/3019612.3019776

Exogenous Coordination for Building Fog-Based Cyber Physical Social Computing and Networking Systems

Autori: Nam Ky Giang, Rodger Lea, Victor C. M. Leung
Pubblicato in: IEEE Access, Numero 6, 2018, Pagina/e 31740-31749, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2018.2844336

A Distance-Dependent Chinese Restaurant Process Based Method for Event Detection on Social Media

Autori: Georgios Palaiokrassas, Athanasios Voulodimos, Antonios Litke, Athanasios Papaoikonomou, Theodora Varvarigou
Pubblicato in: Inventions, Numero 3/4, 2018, Pagina/e 80, ISSN 2411-5134
Editore: MDPI
DOI: 10.3390/inventions3040080

A comparative analysis of machine learning algorithms for faults detection in wireless sensor networks

Autori: Ehsan Ullah Warriach, Kenji Tei
Pubblicato in: International Journal of Sensor Networks, Numero 24/1, 2017, Pagina/e 1, ISSN 1748-1279
Editore: Inderscience Publishers
DOI: 10.1504/IJSNET.2017.084209

Risultati finali

Pubblicazioni

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