1 resultado para typological classification of languages
em Repositório Científico do Instituto Politécnico de Lisboa - Portugal
Filtro por publicador
- KUPS-Datenbank - Universität zu Köln - Kölner UniversitätsPublikationsServer (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (17)
- Archive of European Integration (10)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (13)
- Aston University Research Archive (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (17)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (9)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biodiversity Heritage Library, United States (4)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (53)
- Boston University Digital Common (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (13)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (19)
- CentAUR: Central Archive University of Reading - UK (34)
- Central European University - Research Support Scheme (2)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (33)
- Cochin University of Science & Technology (CUSAT), India (6)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (8)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (5)
- Digital Peer Publishing (3)
- DigitalCommons@The Texas Medical Center (7)
- Digitale Sammlungen - Goethe-Universität Frankfurt am Main (1)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (10)
- eScholarship Repository - University of California (1)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Helda - Digital Repository of University of Helsinki (32)
- Indian Institute of Science - Bangalore - Índia (68)
- Instituto Politécnico do Porto, Portugal (1)
- Martin Luther Universitat Halle Wittenberg, Germany (2)
- Massachusetts Institute of Technology (1)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (10)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (11)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (20)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (41)
- Queensland University of Technology - ePrints Archive (141)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (53)
- Research Open Access Repository of the University of East London. (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (19)
- Universidade Federal do Pará (1)
- Universitat de Girona, Spain (4)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (2)
- Université de Montréal (1)
- Université de Montréal, Canada (3)
- University of Connecticut - USA (1)
- University of Michigan (81)
- University of Queensland eSpace - Australia (19)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Low noise surfaces have been increasingly considered as a viable and cost-effective alternative to acoustical barriers. However, road planners and administrators frequently lack information on the correlation between the type of road surface and the resulting noise emission profile. To address this problem, a method to identify and classify different types of road pavements was developed, whereby near field road noise is analyzed using statistical learning methods. The vehicle rolling sound signal near the tires and close to the road surface was acquired by two microphones in a special arrangement which implements the Close-Proximity method. A set of features, characterizing the properties of the road pavement, was extracted from the corresponding sound profiles. A feature selection method was used to automatically select those that are most relevant in predicting the type of pavement, while reducing the computational cost. A set of different types of road pavement segments were tested and the performance of the classifier was evaluated. Results of pavement classification performed during a road journey are presented on a map, together with geographical data. This procedure leads to a considerable improvement in the quality of road pavement noise data, thereby increasing the accuracy of road traffic noise prediction models.