Prof. Dr. Diego P. Ruiz
University of Granada (Spain)
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Academic Career Length
34Years (1993-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 November 2016 in Environmental Impact Assessment Review
Journal Article
ARAlejandro Ruiz-Padillo
Alejandro Ruiz-PadilloDiego P. Ruiz
Antonio J Torija Martinez
Angel Fermin Ramos Ridao1 January 2018 in Landscape and Urban Planning
Journal Article
GPGermán Pérez-Martínez
Germán Pérez-Martínez
Antonio J Torija MartinezDiego P. Ruiz1 October 2010 in The Journal of the Acoustical Society of America
Journal Article
NGN. Genaro
N. GenaroAntonio J Torija MartinezARA. Ramos-Ridao
A. Ramos-Ridao
IRI. Requena
I. RequenaDiego P. Ruiz
Montserrat ZamoranoNoise is a global problem. In 1972 the World Health Organization (WHO) classified noise as a pollutant. Since then, most industrialized countries have enacted laws and local regulations to prevent and reduce acoustic environmental pollution. A further aim is to alert people to the dangers of this type of pollution. In this context, urban planners need to have tools that allow them to evaluate the degree of acoustic pollution. Scientists in many countries have modeled urban noise, using a wide range of approaches, but their results have not been as good as expected. This paper describes a model developed for the prediction of environmental urban noise using Soft Computing techniques, namely Artificial Neural Networks (ANN). The model is based on the analysis of variables regarded as influential by experts in the field and was applied to data collected on different types of streets. The results were compared to those obtained with other models. The study found that the ANN system was able to predict urban noise with greater accuracy, and thus, was an improvement over those models. The principal component analysis (PCA) was also used to try to simplify the model. Although there was a slight decline in the accuracy of the results, the values obtained were also quite acceptable.
1 July 2013 in The Journal of the Acoustical Society of America
Journal Article
Antonio J Torija MartinezDiego P. RuizARA. F. Ramos-Ridao
A. F. Ramos-Ridao
A subjective and physical categorization of an ambient sound is the first step to evaluate the soundscape and provides a basis for designing or adapting this ambient sound to match people's expectations. For this reason, the main goal of this work is to develop a categorization and differentiation analysis of soundscapes on the basis of acoustical and perceptual variables. A hierarchical cluster analysis, using 15 semantic-differential attributes and acoustical descriptors to include an equivalent sound-pressure level, maximum-minimum sound-pressure level, impulsiveness of the sound-pressure level, sound-pressure level time course, and spectral composition, was conducted to classify soundscapes into different typologies. This analysis identified 15 different soundscape typologies. Furthermore, based on a discriminant analysis the acoustical descriptors, the crest factor (impulsiveness of the sound-pressure level), and the sound level at 125 Hz were found to be the acoustical variables with the highest impact in the differentiation of the recognized types of soundscapes. Finally, to determine how the different soundscape typologies differed from each other, both subjectively and acoustically, a study was performed.
1 February 2015 in Science of The Total Environment
Journal Article
Antonio J Torija MartinezDiego P. Ruiz1 March 2009 in Digital Signal Processing
Journal Article
DSDiego Salas-Gonzalez
Diego Salas-GonzalezEKErcan E. Kuruoglu
Ercan E. Kuruoglu
Diego P. RuizAbout Me
Professor Ruiz works at the Faculty of Sciences of the University of Granada. He has taught and supervised, teaching undergraduate, master's, and doctoral courses in Environmental Science, Chemistry, Physics, Biology, Mathematics, Telecommunications Engineering, Architecture, Civil Engineering, and Computer Engineering degrees. Among the master's course teaching, he co-ordinated subjects and teaching courses in the Master's of Environmental Engineering, Acoustic Engineering, Occupational Risk Prevention, and Management and Integral Safety Building. Research experience: He has authored more than 140 articles in international journals in Engineering and Science topics and more than 150 publications in national and international conferences. He has been the advisor of 10 doctoral theses with high marks and more than 97 final degree or masters research projects, and he has been the main researcher of 15 research projects and member of 21 research projects. He is a member of the editorial board of scientific journals or societies, such as IEEE, Elsevier, IET, and MDPI, and he is a member of the scientific committee of several international and national congresses. His research has been linked to the modeling of experimental data, signal processing, and data analysis in fields related to electromagnetism, acoustics, and thermal and acoustic insulation in buildings.