Abstract
The Planckian distribution equation (PDE), also called blackbody radiation-like equation, BRE, was derived from the Planck radiation formula by replacing its universal constants and temperature with free parameters, A, B, and C, resulting in y = A/(x + B)5/(eC/(x+B)Â −Â 1), where x is bin variable and y is frequency. PDE has been found to fit many long-tailed asymmetric histograms (LAHs) reported in various fields, including atomic physics, protein folding, single-molecule enzymology, whole-cell metabolism, brain neurophysiology, electrophysiology, decision-making psychophysics, glottometrics (quantitative study of words and texts), sociology, econometrics, and cosmology (http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vienna_2015.pdf ). The apparent universality of PDE is postulated to be due to the principle of wave-particle duality embodied in PDE that applies not only to quantum mechanics but also to macrophysics regardless of scales. In this paper, the new classification method referred to as the Planck–Shannon classifier (PSC) or the Planck–Shannon plot (PSP) is formulated based on the two functions, i.e., (i) the Planckian information of the second kind, IPS, and (ii) the Shannon entropy, H, that can be computed from PDE. PSC has been shown to successfully distinguish between the digital CymaScopic images generated from the sonified Raman signals measured from normal and cancer cells in human brain tissues. PSC is a general purpose classifier and can be applied to classifying long-tailed asymmetric histograms generated by many physical, chemical, biological, physiological, psychological, and socioeconomical processes called Planckian processes, i.e., those processes that generate long-tailed asymmetric histograms fitting PDE.
| Original language | English (US) |
|---|---|
| Title of host publication | Advances in Artificial Systems for Medicine and Education II |
| Editors | Zhengbing Hu, Matthew He, Sergey V. Petoukhov |
| Publisher | Springer Verlag |
| Pages | 185-195 |
| Number of pages | 11 |
| ISBN (Print) | 9783030120818 |
| DOIs | |
| State | Published - Jan 1 2020 |
| Event | 2nd International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2018 - Moscow, Russian Federation Duration: Oct 6 2018 → Oct 8 2018 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 902 |
| ISSN (Print) | 2194-5357 |
| ISSN (Electronic) | 2194-5365 |
Conference
| Conference | 2nd International Conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2018 |
|---|---|
| Country | Russian Federation |
| City | Moscow |
| Period | 10/6/18 → 10/8/18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Computer Science(all)
Keywords
- Digital CymaScope
- Planckian distribution equation
- Planckian information of the second kind
- Planck–Shannon classifier
- Shannon entropy
- Sonified Raman spectral features of cancer cells
Cite this
}
Planck–Shannon Classifier : A Novel Method to Discriminate Between Sonified Raman Signals from Cancer and Healthy Cells. / Ji, Sungchul; Park, Beum Jun; Reid, John Stuart.
Advances in Artificial Systems for Medicine and Education II. ed. / Zhengbing Hu; Matthew He; Sergey V. Petoukhov. Springer Verlag, 2020. p. 185-195 (Advances in Intelligent Systems and Computing; Vol. 902).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Planck–Shannon Classifier
T2 - A Novel Method to Discriminate Between Sonified Raman Signals from Cancer and Healthy Cells
AU - Ji, Sungchul
AU - Park, Beum Jun
AU - Reid, John Stuart
PY - 2020/1/1
Y1 - 2020/1/1
N2 - The Planckian distribution equation (PDE), also called blackbody radiation-like equation, BRE, was derived from the Planck radiation formula by replacing its universal constants and temperature with free parameters, A, B, and C, resulting in y = A/(x + B)5/(eC/(x+B)Â −Â 1), where x is bin variable and y is frequency. PDE has been found to fit many long-tailed asymmetric histograms (LAHs) reported in various fields, including atomic physics, protein folding, single-molecule enzymology, whole-cell metabolism, brain neurophysiology, electrophysiology, decision-making psychophysics, glottometrics (quantitative study of words and texts), sociology, econometrics, and cosmology (http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vienna_2015.pdf ). The apparent universality of PDE is postulated to be due to the principle of wave-particle duality embodied in PDE that applies not only to quantum mechanics but also to macrophysics regardless of scales. In this paper, the new classification method referred to as the Planck–Shannon classifier (PSC) or the Planck–Shannon plot (PSP) is formulated based on the two functions, i.e., (i) the Planckian information of the second kind, IPS, and (ii) the Shannon entropy, H, that can be computed from PDE. PSC has been shown to successfully distinguish between the digital CymaScopic images generated from the sonified Raman signals measured from normal and cancer cells in human brain tissues. PSC is a general purpose classifier and can be applied to classifying long-tailed asymmetric histograms generated by many physical, chemical, biological, physiological, psychological, and socioeconomical processes called Planckian processes, i.e., those processes that generate long-tailed asymmetric histograms fitting PDE.
AB - The Planckian distribution equation (PDE), also called blackbody radiation-like equation, BRE, was derived from the Planck radiation formula by replacing its universal constants and temperature with free parameters, A, B, and C, resulting in y = A/(x + B)5/(eC/(x+B)Â −Â 1), where x is bin variable and y is frequency. PDE has been found to fit many long-tailed asymmetric histograms (LAHs) reported in various fields, including atomic physics, protein folding, single-molecule enzymology, whole-cell metabolism, brain neurophysiology, electrophysiology, decision-making psychophysics, glottometrics (quantitative study of words and texts), sociology, econometrics, and cosmology (http://www.conformon.net/wp-content/uploads/2016/09/PDE_Vienna_2015.pdf ). The apparent universality of PDE is postulated to be due to the principle of wave-particle duality embodied in PDE that applies not only to quantum mechanics but also to macrophysics regardless of scales. In this paper, the new classification method referred to as the Planck–Shannon classifier (PSC) or the Planck–Shannon plot (PSP) is formulated based on the two functions, i.e., (i) the Planckian information of the second kind, IPS, and (ii) the Shannon entropy, H, that can be computed from PDE. PSC has been shown to successfully distinguish between the digital CymaScopic images generated from the sonified Raman signals measured from normal and cancer cells in human brain tissues. PSC is a general purpose classifier and can be applied to classifying long-tailed asymmetric histograms generated by many physical, chemical, biological, physiological, psychological, and socioeconomical processes called Planckian processes, i.e., those processes that generate long-tailed asymmetric histograms fitting PDE.
KW - Digital CymaScope
KW - Planckian distribution equation
KW - Planckian information of the second kind
KW - Planck–Shannon classifier
KW - Shannon entropy
KW - Sonified Raman spectral features of cancer cells
UR - http://www.scopus.com/inward/record.url?scp=85066896866&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066896866&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-12082-5_17
DO - 10.1007/978-3-030-12082-5_17
M3 - Conference contribution
AN - SCOPUS:85066896866
SN - 9783030120818
T3 - Advances in Intelligent Systems and Computing
SP - 185
EP - 195
BT - Advances in Artificial Systems for Medicine and Education II
A2 - Hu, Zhengbing
A2 - He, Matthew
A2 - Petoukhov, Sergey V.
PB - Springer Verlag
ER -