Projects

BEING: Inference of Human Behavior via Network Mining

COPELABS coordination: Rute C. Sofia

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BEING is a project from COPELABS dedicated to exploratory research activities in the context of mobile crowd sensing. In BEING we rely on middleware developed in the COPELABS CitySense (2012-2017) project and focus on contextualization derived from data captured via wireless networks, and which today any device overhears. BEING expects to contribute to the development of pervasive wireless solutions, as well as studies in mining in wireless networks, to assist in a better and non-intrusive inference of human behavior, from an individual and collective perspective.

BEING considers behaviour inference to be a product of three main aspects: I)  passive sensing (roaming context); ii) routine and activities (human context); iii) and contextual information (affinities and similarities). Such behavior inference is to be performed with the owners of sensorial devices being agnostic and not disturbed with any sensing activities, and focusing on adequate activity classification modeling, considering models which can incorporate sensing fusion (more than one sensor and the data correlation towards the prediction of e.g., activities).

In order to target the most important challenges of devising large-scale personal sensing systems, this project aims to investigate and develop a pervasive wireless sensing framework able of leveraging cooperative sensing, data and context gathering. In the proposed framework, only people with strong similarities share training data: a wide range of affinity networks (e.g., proximity networks, online social networks, conversation networks) indicates different typesof interpersonal similarities. The proposedframework will make use of these different networksto determine an affinity graph that quantifies the similarity betweenusers, identifying opportunitiesfor effective sharing.

BEING is funded by COPELABS, University Lusófona (and is currently running for FCT funding).


 

 


 

 

 

Highlights

News

05.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking

R. C. Sofia, Guidelines Towards Information-driven Mobility Management, Future Internet 2019, 11(5), 111; https://doi.org/10.3390/fi11050111

04.2019: Accepted Paper, MDPI Future Internet, Special Issue on Information-centric Networking

R. C. Sofia, P. Mendes, An Overview on Push-Based Communication Models for Information-centric Networking. MDPI Future Internet, 2019, 11(3), 74; https://doi.org/10.3390/fi11030074.

03.2019: Accepted Paper, European Control Conference 2019

Henry, D.; Cieslak, J.; Colmenarejo, P.; Branco, J.; Santos, N.; Serra, P.; Telaard, J.; Strauch, H.; Giordano, A. M.; De Stefano, M.; Ott, C.; Reiner, M.; Jaworski, J.; Papadopoulos, E.; Visentin, G.; Ankersen, F.; Fernandez, J.G.Model-based fault diagnosis and tolerant control: the ESA’s e.Deorbit mission

03.2019: Accepted paper, MDPI Future Internet 2019, Special issue on ICN

Sofia, Rute C.; Mendes, Paulo. An Overview on Push-based Communication Models for Information-Centric Networking

02.2019: New IRTF ICNRG draft

Mendes, Paulo; Sofia, Rute C.; Tsaoussidis, Vassilis; Diamantopoulos, Sotiris; Borrego, Carlos; Borrel, Joan; Sarros, Christos-Alessandros. nformation-centric Routing for Opportunistic Wireless Networks.

01.2019: Accepted paper, Sensors 2019, Special Issue on Wireless Location Tracking

Stankovic, S. S.; Stankovic, Milos; Johansson, Karl H.; Beko, Marko. On Consensus-based Distribution Blind Calibration of Sensor Networks

11.2018: Rute C. Sofia becomes Associate Editor of IEEE Access

11.2018: Accepted paper MDPI Sensors 2018, Special Issue on Wireless Location Tracking

Correia, Sergio; Beko, Marko; Cruz, Luis A. da Silva; Tomic, Slavisa. Elephant Herding Optimization for Energy-Based Localization

11.2018: Accepted paper Sensors 2018, Special Issue on Wireless Location Tracking

Tomic, Slavisa; Beko, Marko. Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements

11.2018: Results of the CEEC/COPELABS/JUNIOR2018: Prof. Dr. Pedro Sá Costa admitted.

10.2018: Rute C. Sofia becomes an IEEE Senior member

10.2018: Invited Talk: Cooperative wireless networking: Research challenges, P. Mendes, @LakesideLabs, University of Klagenfurt, Austria

09.2018: Accepted paper, ACM ICN 2018

P. Mendes, R. Sofia, V. Tsaoussidis, S. Diamantopoulos, J. Soares,Information-centric routing for opportunistic wireless networks. InProc. ACM ICN 2018, Sep. 2018.

09:2018: Accepted paper, IEEE WiMob

09.2018:C-BRAINs 2018/2019

C-BRAINS for 2018/2019 are out!

07.2018: Ciencia 2018

People-to-people Communication in Emergency Scenarios, P. Mendes, R. Sofia, M. Tavares, O. Aponte

06.2018: UMOBILE project

POC2 - information-centric communication in opportunistic scenarios, P. Mendes, M. Tavares, O. Aponte, R. Sofia, J. Soares

05.2018

UMOBILE Demo in Italy, Umbria

04.2018 Accepted Book Chapter

 Rute C. Sofia, Liliana I. Carvalho., Francisco de Melo Pereira, Samrat Dattagupta.The Role of Smart Data in Inference of Human Behavior and Interaction. Book chapter. "Smart Data: State-of-the-Art and Perspectives in Computing and Applications".

03.2018 IRTF draft DABBER

Information-centric Routing for Opportunistic Wireless Networks

 

 

 

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