Sanat ve Tasarım Fakültesi

Permanent URI for this communityhttps://hdl.handle.net/20.500.12469/54

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Citation - WoS: 14
Citation - Scopus: 49
Noise Annoyance During Covid-19 Lockdown: a Research of Public Opinion Before and During the Pandemic
(Acoustical Society of America, 2020) Şentop Dümen, Ayça; Şaher, Konca
Strict lockdown strategies to stop the spread of COVID-19 have caused a decrease in environmental noise levels and introduced new noise conditions in dwellings. The present study has investigated the impact of the forced lockdown in Turkey on noise annoyances due to traffic, neighbors, and personal dwellings, as well as the concern of being heard by neighbors, and overall dwelling satisfaction in an online questionnaire. The stress and anxiety levels of respondents were also investigated. The survey obtained 1053 respondents. Additionally, environmental noise levels were measured over 24-h at two locations and compared with results before the pandemic. The results clearly exhibit that environmental noise levels and annoyance due to the noise levels dropped significantly. The annoyance drop was larger in previously noisier environments than previously tranquil locations. Noise annoyance due to neighbor noise did not change significantly; however, noise annoyance due to one's own dwelling increased. The results also confirmed an overall increase in dwelling satisfactions indicating a correlation between dwelling satisfaction and lower environmental noise levels. Although the results confirmed that noise annoyance was positively correlated with stress and anxiety levels, the change of annoyance between before and during lockdown was shown to be independent from the stress and anxiety level
Citation - Scopus: 1
Homeomorphic Architecture: Radial Prisons and Contracted Graphs
(SAGE PUBLICATIONS LTD, 2020) Gökmen, Sabri
This paper introduces a type of graph called 'homeomorphically irreducible tree' (HIT) and explores its analytical and computational aspects in the architecture of radial prison plans. As a theoretical introduction, HITs are first diagrammatically presented using a taxonomy of 20 different radial prisons. Using this analysis, a generative algorithm that transforms plan connectivity to a simple sequential numeric representation is developed. This method is applied as an architectural plan generator that is parametrically explored using graphs as building skeletons with configurable wing typologies. The aim of the paper is to lay the foundation of a new graph-based approach for the morphogenetic study of symmetry in architectural plans.
Citation - WoS: 13
Citation - Scopus: 15
Extrapolating Continuous Color Emotions Through Deep Learning
(Amer Physical Soc, 2020) Ram, Vishaal; Schaposnik, Laura P.; Konstantinou, Nikos; Volkan, Eliz; Papadatou-Pastou, Marietta; Manav, Banu; Jonauskaite, Domicele; Mohr, Christine
By means of an experimental dataset, we use deep learning to implement an RGB (red, green, and blue) extrapolation of emotions associated to color, and do a mathematical study of the results obtained through this neural network. In particular, we see that males (type-m individuals) typically associate a given emotion with darker colors, while females (typef individuals) associate it with brighter colors. A similar trend was observed with older people and associations to lighter colors. Moreover, through our classification matrix, we identify which colors have weak associations to emotions and which colors are typically confused with other colors.

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