Nicolas Cheifetz - Home page - Google Scholar

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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Cheifetz, N., Sandraz, A.-C., Féliers, C., Gilbert, D., Piller, O. and Lang, A. Une approche gloutonne pour le positionnement de capteurs sur le réseau de distribution du SEDIF Techniques Sciences Méthodes (TSM) - submitted  article URL 
BibTeX:
@article{cheifetz2015tsm,
  author = {Cheifetz, Nicolas and Sandraz, Anne-Claire and Féliers, Cédric and Gilbert, Denis and Piller, Olivier and Lang, Anne},
  title = {Une approche gloutonne pour le positionnement de capteurs sur le réseau de distribution du SEDIF},
  journal = {Techniques Sciences Méthodes (TSM) - submitted},
  url = {http://tsm.astee.org/}
}
Cheifetz, N., Sandraz, A.-C., Féliers, C., Gilbert, D., Piller, O. and Lang, A. An Incremental Sensor Placement Optimization in a Large Real-World Water System 2015 Procedia Engineering
Vol. 119, pp. 947 - 952 
article DOI URL 
Abstract: Abstract Supplying modern water systems in smart cities requires the ability to monitor water quality in the production plants and the distribution network. Protection against accidental or intentional events is usually based on an Early Warning Detection System (EWDS) to minimize the impact of any contamination [1]. A major issue is positioning online sensors along the water distribution network to ensure the best protection at minimum cost. Several contributions for tackling such problem have been proposed during the last decade, including a scientific challenge comparing 14 methodologies [2] and two reviews of about 150 articles [3,4]. Currently there is no consensus about algorithms or design objectives to use, and such a problem is NP-hard [5,6]. In this paper, a greedy approach is proposed to near-optimally solve the sensor placement problem dealing with large-scale water systems. This methodology is designed to integrate both the specificity of the studied network (expert/prior knowledge) and flexibility related to the uncertainty of the nature, time, and duration of contamination injections. The method is illustrated to minimize the expected fraction of the exposed population on the largest network in France (about 100,000 nodes, 600,000 connections, above 8,000 km of pipes). Costly approaches in terms of computation time, such as MIP (Mixed-Integer Programming) and exhaustive search cannot scale to large networks. A sensitivity analysis is presented using the greedy approach on a sub-network which leads to choose the number of sufficient contamination simulations and the concentration threshold used to detect contaminations. The extensive experiments allow us to highlight the effectiveness and the rapidity of the proposed approach.
BibTeX:
@article{cheifetz2015ccwi,
  author = {Nicolas Cheifetz and Anne-Claire Sandraz and Cédric Féliers and Denis Gilbert and Olivier Piller and Anne Lang},
  title = {An Incremental Sensor Placement Optimization in a Large Real-World Water System },
  journal = {Procedia Engineering },
  year = {2015},
  volume = {119},
  pages = {947 - 952},
  note = {Computing and Control for the Water Industry (CCWI2015) Sharing the best practice in water management },
  url = {http://www.sciencedirect.com/science/article/pii/S1877705815026478},
  doi = {http://dx.doi.org/10.1016/j.proeng.2015.08.977}
}
Cheifetz, N., Fauchon, N., ALMEIDA de OLIVEIRA, M., Heim, V. and Féliers, C. Forecasting Quality of Raw Water to Optimize Drinking Water Production 2015 International Conference Water, Megacities and Global Change  inproceedings URL 
BibTeX:
@inproceedings{cheifetz2015eaumega,
  author = {Cheifetz, Nicolas and Fauchon, Nils and ALMEIDA de OLIVEIRA, Marina and Heim, Véronique and Féliers, Cédric},
  title = {Forecasting Quality of Raw Waterto Optimize Drinking Water Production},
  booktitle = {International Conference Water, Megacities and Global Change},
  year = {2015},
  url = {http://eaumega2015.sciencesconf.org/}
}
Noumir, Z., Samé, A., Cheifetz, N., Sandraz, A.-C. and Féliers, C. Décomposition et clustering de données fonctionnelles pour l'analyse de la consommation d'eau potable 2015 Journée Clustering  inproceedings URL 
BibTeX:
@inproceedings{noumir2015clustering,
  author = {Noumir, Zineb and Samé, Allou and Cheifetz, Nicolas and Sandraz, Anne-Claire and Féliers, Cédric},
  title = {Décomposition et clustering de données fonctionnelles pour l'analyse de la consommation d'eau potable},
  booktitle = {Journée Clustering},
  year = {2015},
  url = {http://www.vincentlemaire-labs.fr/Clustering2015/}
}
Attal, F., Boubezoul, A., Oukhellou, L., Cheifetz, N. and Espié, S. The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts 2014 The 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)  inproceedings URL 
BibTeX:
@inproceedings{attal2014itsc,
  author = {Attal, Ferhat and Boubezoul, Abderrahmane and Oukhellou, Latifa and Cheifetz, Nicolas and Espié, Stéphane},
  title = {The Powered Two Wheelers fall detection using Multivariate CUmulative SUM (MCUSUM) control charts},
  booktitle = {The 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
  year = {2014},
  url = {http://www.itsc2014.org/}
}
Cheifetz, N., Samé, A., Aknin, P., de Verdalle, E. and Chenu, D. A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures 2013 The 12th International Conference on Machine Learning and Applications (IEEE ICMLA'13), pp. 117 - 122  inproceedings DOI URL 
BibTeX:
@inproceedings{cheifetz2013icmla,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and de Verdalle, Emmanuel and Chenu, Damien},
  title = {A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures},
  booktitle = {The 12th International Conference on Machine Learning and Applications (IEEE ICMLA'13)},
  year = {2013},
  pages = {117 - 122},
  url = {http://www.icmla-conference.org/icmla13/},
  doi = {http://dx.doi.org/10.1109/ICMLA.2013.27}
}
Cheifetz, N. Detection and classification of temporal CAN signatures to support maintenance of public transportation vehicle subsystems 2013 (2013PEST1077)School: Université Paris-Est  phdthesis URL 
BibTeX:
@phdthesis{cheifetz2013phd,
  author = {Cheifetz, Nicolas},
  title = {Detection and classification of temporal CAN signatures to support maintenance of public transportation vehicle subsystems},
  school = {Université Paris-Est},
  year = {2013},
  number = {2013PEST1077},
  url = {https://tel.archives-ouvertes.fr/tel-01066894}
}
Cheifetz, N. and Consortium EBSF Optimization of alarm thresholds values in predictive maintenance 2012 Deliverable of the project European Bus System of the Future (EBSF) - Seventh Framework Programme  techreport URL 
BibTeX:
@techreport{cheifetz2012ebsf,
  author = {Cheifetz, Nicolas and Consortium EBSF},
  title = {Optimization of alarm thresholds values in predictive maintenance},
  booktitle = {Deliverable of the project European Bus System of the Future (EBSF) - Seventh Framework Programme},
  year = {2012},
  url = {http://www.ebsf.eu}
}
Cheifetz, N., Samé, A., Aknin, P. and de Verdalle, E. A sequential testing approach for change-point detection on bus door systems 2012 Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference, pp. 1846-1851  inproceedings DOI  
Abstract: Detecting change-points and anomalies on sequential data is common in various domains such as fraud detection for credit cards, intrusion detection for cyber-security or military surveillance [1]. This study is motivated by the predictive maintenance of pneumatic doors in transit buses. For this purpose, buses are instrumented and data are collected through embedded sensors. Inspired by the CUSUM and GLR approaches, this paper deals with on-line change-point detection on sequential data where each observation consists in a bivariate curve. The system is considered out of control when a change occurs in the curves probability distribution. A specific regression model is used to describe the curves. The unknown parameters of this model are estimated using the maximum likelihood principle. Experimental studies performed on realistic data demonstrate the promising behavior of the proposed method.
BibTeX:
@inproceedings{cheifetz2012itsc,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and de Verdalle, Emmanuel},
  title = {A sequential testing approach for change-point detection on bus door systems},
  booktitle = {Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference},
  year = {2012},
  pages = {1846--1851},
  doi = {http://dx.doi.org/10.1109/ITSC.2012.6338803}
}
Cheifetz, N., Samé, A., Aknin, P. and de Verdalle, E. A CUSUM-like approach for online change-point detection on bus door systems 2012 CM 2012 and MFPT 2012 - The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies  inproceedings  
BibTeX:
@inproceedings{cheifetz2012cm,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and de Verdalle, Emmanuel},
  title = {A CUSUM-like approach for online change-point detection on bus door systems},
  booktitle = {CM 2012 and MFPT 2012 - The Ninth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies},
  year = {2012}
}
Cheifetz, N., Samé, A., Aknin, P., Martinez, X. and de Verdalle, E. Détection séquentielle d'anomalies pour le suivi de portes d'autobus 2012 Journée GdR S3/SEE/SAFFE-GIS 3SGS  inproceedings  
BibTeX:
@inproceedings{cheifetz2012gdrs3,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and Martinez, Xabier and de Verdalle, Emmanuel},
  title = {Détection séquentielle d'anomalies pour le suivi de portes d'autobus},
  booktitle = {Journée GdR S3/SEE/SAFFE-GIS 3SGS},
  year = {2012},
  note = {Poster}
}
Cheifetz, N., Samé, A., Aknin, P. and de Verdalle, E. A CUSUM approach for online change-point detection on curve sequences 2012 The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 399-404  inproceedings URL 
BibTeX:
@inproceedings{cheifetz2012esann,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and de Verdalle, Emmanuel},
  title = {A CUSUM approach for online change-point detection on curve sequences},
  booktitle = {The 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)},
  year = {2012},
  pages = {399--404},
  url = {https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2012-176.pdf}
}
Cheifetz, N., Samé, A., Aknin, P. and de Verdalle, E. A pattern recognition approach for anomaly detection on buses brake system 2011 The 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 266 -271  inproceedings DOI  
BibTeX:
@inproceedings{cheifetz2011itsc,
  author = {Cheifetz, Nicolas and Samé, Allou and Aknin, Patrice and de Verdalle, Emmanuel},
  title = {A pattern recognition approach for anomaly detection on buses brake system},
  booktitle = {The 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)},
  year = {2011},
  pages = {266 -271},
  doi = {http://dx.doi.org/10.1109/ITSC.2011.6083106}
}
Cheifetz, N. Diagnostic de sous-systèmes d'autobus à base de reconnaissance des formes 2011 Journée Des Doctorants SPI-STIC de l'IFSTTAR 2011 - Prix de la meilleure présentation  inproceedings  
BibTeX:
@inproceedings{cheifetz2011jdd,
  author = {Cheifetz, Nicolas},
  title = {Diagnostic de sous-systèmes d'autobus à base de reconnaissance des formes},
  booktitle = {Journée Des Doctorants SPI-STIC de l'IFSTTAR 2011 - Prix de la meilleure présentation},
  year = {2011},
  note = {Prix de la meilleure présentation}
}
Cheifetz, N. Analyse en facteurs indépendants pour le diagnostic d'un composant de l'infrastructure ferroviaire dans un cadre semi-supervisé 2009 School: Paris 6 - Université Pierre et Marie Curie (UPMC)  mastersthesis  
BibTeX:
@mastersthesis{cheifetz2009master,
  author = {Cheifetz, Nicolas},
  title = {Analyse en facteurs indépendants pour le diagnostic d'un composant de l'infrastructure ferroviaire dans un cadre semi-supervisé},
  school = {Paris 6 - Université Pierre et Marie Curie (UPMC)},
  year = {2009}
}
Cheifetz, N. IFA for the Diagnosis of a Railway Infrastructure Device in a Semi-Supervised Learning 2009 Workshop on Applications of Pattern Analysis, 3rd event - Interview on videolectures.net  manual URL 
BibTeX:
@manual{cheifetz2009videolectures,
  author = {Cheifetz, Nicolas},
  title = {IFA for the Diagnosis of a Railway Infrastructure Device in a Semi-Supervised Learning},
  booktitle = {Workshop on Applications of Pattern Analysis, 3rd event - Interview on videolectures.net},
  year = {2009},
  url = {http://videolectures.net/aop09_cheifetz_iftd/}
}