Francesc Sebe

Dr. Francesc Sebe

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 June 2008 in IEEE Transactions on Knowledge and Data Engineering
Verified
Journal Article
Closed access
FSFrancesc Sebe
Francesc Sebe
JDJosep Domingo-Ferrer
Josep Domingo-Ferrer
AMAntoni Martínez
Antoni Martínez
YDYves Deswarte
Yves Deswarte
JQJean-Jacques Quisquater
Jean-Jacques Quisquater
Checking data possession in networked information systems such as those related to critical infrastructures (power facilities, airports, data vaults, defense systems, etc.) is a matter of crucial importance. Remote data possession checking protocols permit to check that a remote server can access an uncorrupted file in such a way that the verifier does not need to know beforehand the entire file that is being verified. Unfortunately, current protocols only allow a limited number of successive verifications or are impractical from the computational point of view. In this paper, we present a new remote data possession checking protocol such that: 1) it allows an unlimited number of file integrity verifications; 2) its maximum running time can be chosen at set-up time and traded off against storage at the verifier.

5 October 2016 in Precision Agriculture
Verified
Journal Article
Open access
PDF file
Alexandre EscolàAlexandre Escolà
Alexandre Escolà
José A. Martínez-CasasnovasJosé A. Martínez-Casasnovas
José A. Martínez-Casasnovas
JRJosep Rufat
Josep Rufat
Jaume ArnóJaume Arnó
Jaume Arnó
AAAmadeu Arbonés
Amadeu Arbonés
Joan R. Rosell-PoloJoan R. Rosell-Polo
Joan R. Rosell-Polo
LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. In this work, a self-developed mobile terrestrial laser scanner based on a 2D light detection and ranging (LiDAR) sensor was used to scan an intensive olive orchard, and different algorithms were developed to estimate canopy volume. Canopy volume estimations derived from LiDAR sensor readings were compared to conventional estimations used in fruticulture/horticulture research and the results prove that they are equivalent with coefficients of correlation ranging from r = 0.56 to r = 0.82 depending on the algorithms used. Additionally, tools related to analysis of point cloud data from the LiDAR-based system are proposed to extract further geometrical and structural information from tree row crop canopies to be offered to farmers and technical advisors as digital raster maps. Having high spatial resolution information on canopy geometry (i.e., height, width and volume) and on canopy structure (i.e., light penetrability, leafiness and porosity) may result in better orchard management decisions. Easily obtainable, reliable information on canopy geometry and structure may favour the development of decision support systems either for irrigation, fertilization or canopy management, as well as for variable rate application of agricultural inputs in the framework of precision fruticulture/horticulture.

29 August 2006 in The VLDB Journal
Verified
Journal Article
Closed access
PDF file
JDJosep Domingo-Ferrer
Josep Domingo-Ferrer
AMAntoni Martínez
Antoni Martínez
JMJosep M. Mateo-Sanz
Josep M. Mateo-Sanz
FSFrancesc Sebe
Francesc Sebe

1 February 2008 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
JDJosep Domingo-Ferrer
Josep Domingo-Ferrer
FSFrancesc Sebe
Francesc Sebe
Agusti SolanasAgusti Solanas
Agusti Solanas

25 July 2008 in IEEE Transactions on Vehicular Technology
Verified
Journal Article
Closed access
VFVanesa Daza Fernandez
Vanesa Daza Fernandez
JDJosep Domingo-Ferrer
Josep Domingo-Ferrer
FSFrancesc Sebe
Francesc Sebe
AVAlexandre Viejo
Alexandre Viejo
Vehicular ad hoc networks (VANETs) allow vehicle-to-vehicle communication and, in particular, vehicle-generated announcements. Provided that the trustworthiness of such announcements can be guaranteed, they can greatly increase the safety of driving. A new system for vehicle-generated announcements is presented that is secure against external and internal attackers attempting to send fake messages. Internal attacks are thwarted by using an endorsement mechanism based on threshold signatures. Our system outperforms previous proposals in message length and computational cost. Three different privacy-preserving variants of the system are also described to ensure that vehicles volunteering to generate and/or endorse trustworthy announcements do not have to sacrifice their privacy.

2 September 2005 in Data Mining and Knowledge Discovery
Verified
Journal Article
Closed access
JMJosep M. Mateo-Sanz
Josep M. Mateo-Sanz
JDJosep Domingo-Ferrer
Josep Domingo-Ferrer
FSFrancesc Sebe
Francesc Sebe