• Conference Object  

      ACCES: Offline accuracy estimation for fingerprint-based localization 

      Nikitin, A.; Laoudias, Christos; Chatzimilioudis, Georgios; Karras, P.; Zeinalipour-Yazdi, Constantinos D. (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this demonstration we present ACCES, a novel framework that enables quality assessment of arbitrary fingerprint maps and offline accuracy estimation for the task of fingerprint-based indoor localization. Our framework ...
    • Conference Object  

      Driver/vehicle response diagnostic system for vehicle following based on Gaussian Mixture Model 

      Butakov, V.; Ioannou, Petros A.; Tippelhofer, M.; Camhi, J. (2012)
      It is well known that not all drivers drive the same and the same driver has different driving characteristics with different vehicles. Identifying these characteristics that are unique to each driver/vehicle response opens ...
    • Conference Object  

      Indoor localization accuracy estimation from fingerprint data 

      Nikitin, A.; Laoudias, Christos; Chatzimilioudis, Georgios; Karras, P.; Zeinalipour-Yazdi, Constantinos D. (Institute of Electrical and Electronics Engineers Inc., 2017)
      The demand for indoor localization services has led to the development of techniques that create a Fingerprint Map (FM) of sensor signals (e.g., magnetic, Wi-Fi, bluetooth) at designated positions in an indoor space and ...
    • Conference Object  

      Marking observer of labeled petri nets with uncertainty in the initial marking 

      Cabasino, M. P.; Seatzu, C.; Hadjicostis, Christoforos N. (2013)
      In this paper we consider marking estimation in labeled Petri nets whose initial marking is known to belong to a given convex set. We allow for silent transitions (i.e., transitions labeled with the empty word) and ...
    • Conference Object  

      Probability of error bounds for failure diagnosis and classification in hidden Markov models 

      Athanasopoulou, E.; Hadjicostis, Christoforos N. (2008)
      In this paper we consider a formulation of the failure diagnosis problem in stochastic systems as a maximum likelihood classification problem: a diagnoser observes the system under diagnosis online and determines which ...
    • Article  

      A query formulation language for the data web 

      Jarrar, M.; Dikaiakos, Marios D. (2012)
      We present a query formulation language (called MashQL) in order to easily query and fuse structured data on the web. The main novelty of MashQL is that it allows people with limited IT skills to explore and query one (or ...