Comments for Authors:	(use extra sheet if necessary)
The reviewer wondered when he read the paper for the first time with the discrepancy of the mostly good English expressions and  very inappropriate expressions appeared from time to time in the text. 
 
More importantly, later the reviewer found the texts and equations which appeared almost everywhere were the result of a copy task from the other papers. It was made without referring to the original, which is actually not possible because those copied expressions are almost everywhere, In other words, the work is mostly by just "cut and paste" from other papers and add a few of  their own text for which the authors even did not seem to proof-read.

This might be said to be almost a "plagiarism" if not totally. The reviewer warn the authors this would result in the end of their academic career if it became open worldwide.

Comments for Editorial Board:
Please compare two abstracts below. One is of the different paper by the different authors published this year and the other is the paper submitted to our journal. The former is not referred to at all in the latter. 
 
Abstract: ... This simulator is capable of performing Multi-Layer raster Simulation for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This study reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with popular numerical integration techniques; simulation results and comparison are also presented. (V. Murugesh and N. Regarajan (2007) An Efficient Numerical Integration Technique for Multi-Layer Raster CNN simulator. Information technology Journal 6(2). pp. 202-206).
 
While in the abstract of this submitted paper we find
Abstract: The function of the simulator is that it is capable of performing Raster Simulation for any kind as well as any size of input image. It is a powerful tool for researchers to examine the potential applications of CNN. This article proposes an efficient pseudo code for exploiting the latency properties of Cellular Neural Networks along with well known RK-Fourth Order Embedded numerical integration algorithms. Simulation results and comparison have also been presented

The same can be found everywhere else in the title, text, Figure, Table, etc. This paper is the result of "cut & paste" with a few of poor addition by the authors. The reviewer concluded this is almost a plagiarism, if not at all.











The reviewer, first of all, thought the title inclueds too specific term "RKACeM(4,4)."
Later the reviewer found this is a modification of the title of the other authors' paper
"A Fourth Order Embedded Runge-Kutta RKACeM(4,4) Method Based on Arithmetic and Centroidal 
Means with Error Control."


 Int. J. Comput. Math. 79(2): 247-269 (2002)


The reviewer wondered when he read the paper for the first time with the discrepancy
of the mostly good English expressing and  very inappropriate expressions appeared from
time to time in the text. 

More importantly, later the reviewer found the texts appeared almost everywhere are 
copied from the other papers including equations 
-- without referring to the original, which is actually
not possible because those copied expressions are almost everywhere.

Mostly the work of just by "cut and paste" from other papers and add a few of 
their own text for which the authors even did not seem to proof-read.

This is almost a plagiarism if not totally.
The reviewer warn the authors this means the end of their academic career
when it becomes open worldwide.


to the editor
==================================================================================================
Please compare two abstracts below. One is of the different paper by the different authors published this year and the other is the paper submitted to our journal. The former is not refered to at all in the latter. 

Abstract: ... This smimulator is capable of performing Multi-Layer raster Simulation for any size of input image, thus a powerful tool for researchers investigating potential applications of CNN. This study reports an efficient algorithm exploiting the latency properties of Cellular Neural Networks along with popular numerical integration techniques; simulation results and comparisn are also presentd.
(V. Murugesh and N. Regarajan (2007) An Efficient Numerical Integration Technique for Multi-Layer Raste CNN simulator. Informatin technology Journal 6(2). pp. 202-206)


while in the abstract of this submitted paper we find

Abstract: The function of the simulator is that it is capable of performing Raster Simulation for any kind as well as any size of input image. It is a powerful tool for researchers to examine the potential applications of CNN. This article proposes an efficient pseudo code for exploiting the latency properties of Cellular Neural Networks along with well known RK-Fourth Order Embedded numerical integration algorithms. Simulation results and comparison have also been presented

The same can be found everywhere else in the title, text, Figure, Table, etc. This paper is the result of "cut & paste" with a few of poor addition by the authors. The reviewer concluded this is almost a plagiarism, if not at all.