Advanced Bacterial Foraging and Its Application Using Fuzzy Logic Based Variable step Size and Clonal Selection of Immune Algorithm

2006 ◽  
Author(s):  
Dong Hwa Kim ◽  
Jae Hoon Cho
Keyword(s):  
Fuzzy Logic ◽  
Clonal Selection ◽  
Immune Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Bacterial Foraging ◽  
Variable Step ◽  
Selection Of

A fuzzy-logic based auto-scaling variable step-size MPPT method for PV systems

Solar Energy ◽  
2016 ◽  
Vol 126 ◽  
pp. 53-63 ◽  
Author(s):  
Yie-Tone Chen ◽  
Yi-Cheng Jhang ◽  
Ruey-Hsun Liang
Keyword(s):  
Fuzzy Logic ◽  
Variable Step Size ◽  
Step Size ◽  
Pv Systems ◽  
Variable Step ◽  
Auto Scaling

Unified Inter-Letter Steganographic Algorithm, A Text-based Data Hiding Method

2020 ◽  
Vol 17 (6) ◽  
pp. 833-838
Author(s):  
Ahmad Esmaeilkhah ◽  
Changiz Ghobadi ◽  
Javad Nourinia ◽  
Maryam Majidzadeh
Keyword(s):  
Mathematical Model ◽  
Variable Step Size ◽  
Careful Selection ◽  
Step Size ◽  
Statistical Parameters ◽  
Modes Of Operation ◽  
Real World Applications ◽  
Variable Step ◽  
General Mathematical Model ◽  
Selection Of

This paper funds a novel text-based steganographic algorithm with enhanced functionality with respect to the previously proposed methods. By careful selection of one of standard space characters, the introduced Inter-Letter Steganographic Method, or Visual and Reverse Extraction attacks, two additional modes of operation have been added into original InLetSteg algorithm and have been merged into a single one, called as Unified Inter-Letter Steganographic Method, or UILS. The Unified Inter-Letter Steganographic Method (UILS) embeds the data using variable step-size into the host text and the developed mathematical model can calculate the approximate length of host text required to embed certain data, statistically. In addition, the general mathematical model of UILS makes it customizable to adapt the real-world applications. The statistical parameters that are in use through this work are calculated for English host text, but are easily calculable for other languages with similar alphabets and structure of notations. Finally, the programmatically deployed UILS outputs are experimentally examined using 60 attendant and the results are discussed

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