Extraction of Agricultural Workers’ Physical Timeline Data for Acceleration and Angular Velocity through Deep Learning Based System | Chapter 7 | Science and Technology - Recent Updates and Future Prospects Vol. 6

 The present study uses timeline matrix-formed datasets with a variety of common Japanese-styled agri-tools. We base our deep learning approach on achievements in the acoustic deep learning fields, where timeline physical data is transformed into WAV formatted sound file data. Recent improvements in analyzing agri-work have considered up-to-date technologies with deep learning approaches to understand how solutions reflect the experience of traditional agri-workers.  To comprehend acceleration and angular velocity, physical timeline data can be used to derive certain physical features of workers. There is still need for improvement even if different strategies have been put into place internationally for both indoor and outdoor agricultural (agri-) working areas. We apply a deep learning-based method and qualitatively demonstrate the classification of physical timeline datasets. To create our dataset, our subjects were six experienced agri-manual workers and six completely inexperienced men. The targeted task was cultivating the semi-crunching position using a simple, Japanese-style hoe. We captured the subjects’ acceleration and angular velocity data from an integrated multi-sensor module mounted on a wood lilt 15 cm from the gripping position of the dominant hand. We used Python code and recent distributed libraries for computation. For data classification, we successively executed a Recurrent Neural Network (RNN), which we evaluated using wavelet analyses such as the Fast Fourier Transform (FFT). These methods of analyzing digital data could be of practical use for providing key suggestions to improve daily tasks. Future users could automatically or semi-automatically apply our approaches to classify a wide variety of digital matrix-formed data. In the long term, we aim to check and improve the system durability, long-term performance, and other methodological mixing patterns.

 

Author (s) Details

 

Shinji Kawakura
Kobe University, Kobe-shi, Hyogo, 657-0066, Japan.

 

Ryosuke Shibasaki
The University of Tokyo, Bunkyo-ku, Tokyo, 113-0033, Japan and Reitaku University, Kashiwa-shi, Chiba, 277-8686, Japan.

 

Please see the book here:- https://doi.org/10.9734/bpi/strufp/v6/820

Expansion Speeds and Accelerations of the Universe in Five General Cosmic Models | Chapter 9 | Fundamental Research and Application of Physical Science Vol. 3

 Four new cosmological quantities were introduced which are the horizon expansion speed, horizon expansion acceleration, horizon volume speed and horizon volume acceleration of the universe expansion. These quantities have been investigated in five general cosmic models. The distributions of the space expansion speed of the universe in these models decrease up to minimum values, then they increase slowly until t = 20.9524 Gyr, and hence rise appreciably faster. In the observed general model the minimum space expansion speed is at t = 7.3562 Gyr. However, the distributions of the horizon expansion speed of the universe in the general models continuously descend with cosmic time. At the present time in the observed general model dh (t0) = 300024.5 km s-1 . On the other hand, the distributions of the horizon volume speed of the universe expansion surge slowly until t = 41142.0298yr, afterwards they ascend more rapidly up to maximum values, and hence they decrease gradually towards zero. At the present time in the observed general model Vh (t0) = 50.4425 (10kpc)3 s-1, while the maximum horizon volume speed is at t = 2.7454 Gyr. The distributions of the speed expansion acceleration of the universe in the general models exhibit steep rise towards ä (t) = 0 and remain very close to this value, then they increase very slowly up to t = 85.3846Gyr, then they rise more rapidly, however after t = 100.3846 Gyr they surge substantially faster….

Author(s) Details:

Fadel A. Bukhari,
Department of Astronomy, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.

Please see the link here: https://stm.bookpi.org/FRAPS-V3/article/view/10368

De Broglie’s Double-Particle Photon | Chapter 3 | Newest Updates in Physical Science Research Vol. 4

 The analysis of kinetic energy circulation within the energy structure of the doubleparticle photon that Louis de Broglie hypothesized in the early 1930s resulted in the establishment of an LC equation and a local fields equation describing permanently localized photons. Among other things,

 These equations give a mechanical explanation for the localized photon properties of self-propelling at the speed of light and self-guiding in a straight line when no external interaction tends to deflect its trajectory. From a trispatial geometry standpoint, this paper summarizes the seminal considerations that led to the establishment of mechanical conversion processes involving electromagnetic energy and mass from electromagnetic photon emission to nucleon construction.

Author (S) Details

André Michaud
Service de Recherche Pédagogique, Canada.

View Book  :- https://stm.bookpi.org/NUPSR-V4/article/view/1642

On Adiabatic Processes at the Subatomic Level | Chapter 2 | Newest Updates in Physical Science Research Vol. 4

 Analyses of adiabatic processes involving elementary electromagnetic particles at the subatomic level, as well as how these processes correlate with the principles of energy conservation, least action, stationary action, and entropy. The initial irreversible adiabatic acceleration sequence of newly created elementary electromagnetic particles, as well as its relationship to these principles, are examined. Exploration of the implications if the first initial adiabatic acceleration sequence is not subject to the conservation principle.

Author (s) Details

André Michaud
SRP Inc Educational Research Service Quebec, Canada.

View Book :- https://stm.bookpi.org/NUPSR-V4/article/view/1641