Harmonic vibrational frequency scaling factors for the new NDDO Hamiltonians: RM1 and PM6

2007 ◽  
Vol 105 (19-22) ◽  
pp. 2597-2605 ◽  
Author(s):  
Z. A. Fekete ◽  
E. A. Hoffmann ◽  
T. Körtvélyesi ◽  
B. Penke
Keyword(s):  
Vibrational Frequency ◽  
Frequency Scaling ◽  
Scaling Factors ◽  
Harmonic Vibrational Frequency

An Evaluation of Harmonic Vibrational Frequency Scale Factors

2007 ◽  
Vol 111 (45) ◽  
pp. 11683-11700 ◽  
Author(s):  
Jeffrey P. Merrick ◽  
Damian Moran ◽  
Leo Radom
Keyword(s):  
Vibrational Frequency ◽  
Frequency Scale ◽  
Scale Factors ◽  
Harmonic Vibrational Frequency

scholarly journals On the relationship between spectroscopic constants of diatomic molecules: a machine learning approach

RSC Advances ◽  
2021 ◽  
Vol 11 (24) ◽  
pp. 14552-14561
Author(s):  
Xiangyue Liu ◽  
Gerard Meijer ◽  
Jesús Pérez-Ríos
Keyword(s):  
Machine Learning ◽  
Binding Energy ◽  
Vibrational Frequency ◽  
Diatomic Molecules ◽  
Spectroscopic Constants ◽  
Learning Approach ◽  
Equilibrium Distance ◽  
Machine Learning Approach ◽  
Harmonic Vibrational Frequency ◽  
The Relationship

Through a machine learning approach, we show that the equilibrium distance, harmonic vibrational frequency and the binding energy of diatomic molecules are universally related, independently of the nature of the bond of a molecule.

A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique

2017 ◽  
Vol 7 (7) ◽  
pp. 268
Author(s):  
Chauhan Usha ◽  
Singh Rajeev Kumar
Keyword(s):  
Digital Media ◽  
Firefly Algorithm ◽  
Image Watermarking ◽  
Singular Values ◽  
Robust Watermarking ◽  
Scaling Factors ◽  
Geometric Attacks ◽  
Host Image ◽  
Firefly Optimization ◽  
Value Decomposition

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.

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