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Publication Date
Wed May 22 2024
Journal Name
Scientific Reports
Volume
14
DOI
10.1038/s41598-024-60852-7
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Scopus (6)
Crossref (6)
Articles
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ZhfVpI8BVTCNdQwCA3yR
The use of image analysis to study the effect of moisture content on the physical properties of grains
Physical properties
Image analysis
Moisture content
Overall dimensions
Artificial neural network
Łukasz Gierz
Mustafa Ahmed Jalal Al-Sammarraie
Osman Özbek
Piotr Markowski
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Abstract<p>Designing machines and equipment for post-harvest operations of agricultural products requires information about their physical properties. The aim of the work was to evaluate the possibility of introducing a new approach to predict the moisture content in bean and corn seeds based on measuring their dimensions using image analysis using artificial neural networks (ANN). Experimental tests were carried out at three levels of wet basis moisture content of seeds: 9, 13 and 17%. The analysis of the results showed a direct relationship between the wet basis moisture content and the main dimensions of the seeds. Based on the statistical analysis of the seed material, it was shown that the characteristics examined have a normal or close to normal distribution, and the seed material used in the investigation is representative. Furthermore, the use of artificial neural networks to predict the wet basis moisture content of seeds based on changes in their dimensions has an efficiency of 82%. The results obtained from the method used in this work are very promising for predicting the moisture content.</p>
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Frankenstein Complex in Daniel H. Wilson's Robopocalypse ( ): Artificial Intelligence Conspiracies
With the advent of technology
the fear of losing control has consistently accompanied humanity. While humans have discovered
invented
and created many remarkable things
they have also been haunted by the possibility of their creations turning against them. This fear
often referred to as the Frankenstein Complex
derives its name from Mary Shelley's Frankenstein (􀀔􀀛􀀔􀀛)
in which Dr. Frankenstein's creation ultimately destroys its maker. The Frankenstein Complex embodies the subconscious fear of artificial intelligence (AI) surpassing and potentially dominating humankind. This apprehension has inspired numerous literary works
including Daniel H. Wilson’s novels. The present study examines the widespread fear of AI
which has fueled conspiracy theories in literature. These theories have not only amplified public anxiety but also hindered understanding among those with limited knowledge of AI and robotics. Dr. Wilson
a robotics expert
uses his imagination as a driving force for both his writing and his inventions. The research focuses on incidents leading to the rise of robots
the concept of the New War
how it was fought
and how it concluded. By comparing
contrasting
and analyzing literary elements and devices with prominent conspiracy theories
the study highlights the interplay between fiction and scientific development. The researchers conclude that while many conspiracy theories contain elements of truth
they often inspire scientists to explore them further. Additionally
some conspiracy theories warrant serious consideration. The study recommends acknowledging the Frankenstein Complex while maintaining faith in the potential benefits of artificial intelligence.
Ansam
Mayada
Zahraa
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