@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00959274v1> a dcat:Dataset ;
    dct:description """
              The conventional change-point detection problem aims to detect distribution changes at some unknown time point in a sequence of multivariate observations. Such problem is hardly addressed when the data are functional and both the pre-change and post-change distributions are unknown. In this paper, we propose an online sequential procedure based on a Generalized Likelihood Ratio (GLR) testing to address these issues. This procedure aims to minimize the expected detection delay subject to a false alarm constraint, and is designed to detect multiple change-points in a stream of multivariate curves. The methodology relies upon a specific multivariate regression model that takes into account prior information about the curve segmentation. This generative model can be fitted using a dedicated Expectation-Maximization (EM) algorithm presented in a semi-supervised framework. The monitoring strategy is applied to a sequence of real data collected from a door system operating in a transit bus. The experimental results allow to highlight the effectiveness of the proposed approach. Transit buses door system, Sequential Testing, Change point detection
            """ ;
    dct:identifier "hal-00959274" ;
    dct:issued "2026-05-06T01:11:58.138645"^^xsd:dateTime ;
    dct:language "en" ;
    dct:modified "2026-05-06T01:11:58.138650"^^xsd:dateTime ;
    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures" ;
    dcat:contactPoint [ a vcard:Organization ;
            vcard:fn "CCSD" ] ;
    dcat:distribution <https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00959274v1/resource/b94ebdbb-025c-43d1-875a-63f59d6f5e5f> ;
    dcat:keyword "conference-papers",
        "detection",
        "infoeu-reposemanticsconferenceobject",
        "test" ;
    dcat:landingPage <The%2012th%20IEEE%20International%20Conference%20on%20Machine%20Learning%20and%20Applications> .

<The%2012th%20IEEE%20International%20Conference%20on%20Machine%20Learning%20and%20Applications> a foaf:Document .

<https://rec.harvest-normandie.data4citizen.com/dataset/oai-hal-hal-00959274v1/resource/b94ebdbb-025c-43d1-875a-63f59d6f5e5f> a dcat:Distribution ;
    dct:format "HTML" ;
    dct:issued "2026-05-06T01:11:58.144445"^^xsd:dateTime ;
    dct:modified "2026-05-06T01:11:58.126205"^^xsd:dateTime ;
    dct:title "A Sequential Testing Procedure for Multiple Change-Point Detection in a Stream of Pneumatic Door Signatures" ;
    dcat:accessURL <https://hal.science/hal-00959274> .

<https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> a foaf:Agent ;
    foaf:name "test_moissonnage_selune" .