At the Intersection of Technology and Nature: The Potential for a Bright Green Future

Kaufman, Jason; McNay, G. David

doi:10.1089/eco.2017.0022

Cited by 6 publications

(2 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nowadays, with the development of digitalization, more and more scholars are devoting themselves to the management and development of mural image resources. 3,4 Applying today's rapid development of computer technology to the repair and development of murals has become the focus of attention of scientific researchers. Mogao Grottoes are situated in Dunhuang at the western end of the Hexi Corridor.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Digital object restoration using generalized regression neural network deep learning—Taking Dunhuang mural restoration as an example

She

2020

International Journal of Electrical Engineering & Education

View full text Add to dashboard Cite

In this research, Dunhuang murals is taken as the object of restoration, and the role of digital repair combined with deep learning algorithm in mural restoration is explored. First, the image restoration technology is described, as well as its advantages and disadvantages are analyzed. Second, the deep learning algorithm based on artificial neural network is described and analyzed. Finally, the deep learning algorithm is integrated into the digital repair technology, and a mural restoration method based on the generalized regression neural network is proposed. The morphological expansion method and anisotropic diffusion method are used to preprocess the image. The MATLAB software is used for the simulation analysis and evaluation of the image restoration effect. The results show that in the restoration of the original image, the accuracy of the digital image restoration technology is not high. The nontexture restoration technology is not applicable in the repair of large-scale texture areas. The predicted value of the mural restoration effect based on the generalized neural network is closer to the true value. The anisotropic diffusion method has a significant effect on the processing of image noise. In the image similarity rate, the different number of training samples and smoothing parameters are compared and analyzed. It is found that when the value of δ is small, the number of training samples should be increased to improve the accuracy of the prediction value. If the number of training samples is small, a larger value of δ is needed to get a better prediction effect, and the best restoration effect is obtained for the restored image. Through this study, it is found that this study has a good effect on the restoration model of Dunhuang murals. It provides experimental reference for the restoration of later murals.

show abstract

Section: Introductionmentioning

confidence: 99%

RETRACTED: Digital object restoration using generalized regression neural network deep learning—Taking Dunhuang mural restoration as an example

She

2020

International Journal of Electrical Engineering & Education

View full text Add to dashboard Cite

show abstract

“…Others take ecopsychology to be the scientific study of human-nature relationship, and justify ecological DAVIDSON | 377 conservation insofar as scientific evidence suggests that exposure to nature benefits psychological well-being. This latter group largely agrees that modern society balances on an excessive amount of ecologically harmful activity, but instead of directly criticizing society or imagining radical alternatives, they seek scientifically supported ways for people to enrich their lives with nature without necessarily having to dismantle modernity or eschew technology, and empirically search for ways to reinforce behavior that aligns with nature conservation (Bell et al, 2014;Kahn & Hasbach, 2013;Kaufman & McNay, 2017). These two modes of ecopsychology emerged in a roughly chronological order, and although they are not mutually exclusive, adopters of the more recent "scientific" mode have dubbed their perspective "second generation," retroactively labeling the older "critical" model of ecopsychology "first generation" (Doherty, 2009a;Fisher, 2013;Kahn & Hasbach, 2013).…”

Section: Introductionmentioning

confidence: 99%

The (d)evolution of a technological species: A history and critique of ecopsychology's constructions of science and technology

Davidson

2021

J History Behavioral Science

View full text Add to dashboard Cite

In this paper, I aim to convey the history of ecopsychology's changing conceptualizations of science and technology and their role in facilitating engagement with the ecology movement. To do so, I compare ecopsychology's treatment of science and technology in two important publications: Gatherings, a non-peer-reviewed digital journal of the early 2000s that portrayed ecopsychology in humanistic, socially critical, and artistic terms; and Ecopsychology, a scholarly How to cite this article: Davidson, T. (2021). The (d)evolution of a technological species: A history and critique of ecopsychology's constructions of science and technology.

show abstract

Nature, Mind, and Medicine: A Model for Mind–Body Healing

Kaufman

2018

EXPLORE

View full text Add to dashboard Cite

At the Intersection of Technology and Nature: The Potential for a Bright Green Future

Cited by 6 publications

References 45 publications

RETRACTED: Digital object restoration using generalized regression neural network deep learning—Taking Dunhuang mural restoration as an example

RETRACTED: Digital object restoration using generalized regression neural network deep learning—Taking Dunhuang mural restoration as an example

The (d)evolution of a technological species: A history and critique of ecopsychology's constructions of science and technology

Nature, Mind, and Medicine: A Model for Mind–Body Healing

Contact Info

Product

Resources

About