Identifying Household Water Use through Transient Signal Classification-Reference-Cited by-同舟云学术

Identifying Household Water Use through Transient Signal Classification

Published:2016-03 Issue:2 Volume:30 Page:04015007
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Almeida Giovana¹,Vieira José²,Sá Marques Alfeu³,Cardoso Alberto⁴,Ludwig Oswaldo⁵

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, Univ. of Coimbra, Pólo II, Coimbra 3030-788, Portugal (corresponding author).

2. Professor, Dept. of Civil Engineering, Univ. of Minho, Braga 4800-058, Portugal.

3. Professor, Dept. of Civil Engineering, Univ. of Coimbra, Pólo II, Coimbra 3030-788, Portugal.

4. Professor, Dept. of Informatics Engineering, Univ. of Coimbra, Pólo II, Coimbra 3030-788, Portugal.

5. Professor, Dept. of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan 200a, P.O. Box 2402, Leuven 3001, Belgium.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000476

Reference39 articles.

1. Almeida G. S. Kiperstok A. Dias M. and Ludwig O. (2006). “Methodology for domestic water consumption characterization per sanitary equipment (in Portuguese).” Proc. 12th Simpósio Luso Brasileiro de Engenharia Sanitária e Ambiental Associação Portuguesa de Recursos Hídricos Lisbon Portugal 7–12.

2. Pattern Recognition of the Household Water Consumption through Signal Analysis

3. Barreto D. (2008). “Residential water demand profile and final uses (in Portuguese).” Associação Nacional de Tecnologia do Ambiente Construído São Paulo Brazil 23–40.

4. Boser B. E. Guyon I. M. and Vapnik V. N. (1992). “A training algorithm for optimal margin classifiers.” Proc. 5th Annual Association for Computing Machinery (ACM) Workshop on Computational Learning Theory New York 144–152.

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