30 Dec 2020 (Vol - 50 , Issue- 04 )
15 Apr 2015 (Vol - 45 , Issue 01 )
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
Scopus Indexed
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
A Adjusted Pressure TECHNIQUE FOR Follow DATA USING Word reference METHOD
In VLSI design circuits, System-On-Chip consumes more area due to huge data volume in the hardware. In order to reduce that constraint, the size of the trace buffer should be maintained constant. The trace data should be compressed to acquire huge amount of data. To compress those data several conventional techniques has been followed. Here in the proposed system, an approach called Look-Up-Table based dictionary compression method for System-On-Chip is used. It implements dictionary in such way that the most of the test vector frequencies are calculated which is to compress the test data in an efficient manner. This compression technique holds three different test vectors of all zero’s, one’s and X’s value where most of benchmark circuitry frequency can be captured. This technique is implemented in those circuits using hardware description language and it is verified by XILINX Spartan-3E to know utilization of devices. Hence, it achieves more compression ratio with less area overhead without loss of data.
Practicality of Back Probagation Network in The Plan of Viterbi Decoder
Convolutional coding is the most widely used coding technology for reliable data communication. At the receiver’s end, Viterbi decoders are used for extracting the message bits. A conventional Viterbi decoder not only occupies higher memory space, but also is computationally more complex. Though considerable research is performed in this area to overcome these challenges, an efficient architecture is yet to be developed. In this paper, feasibility of a soft computing technique that substitutes the Viterbi decoder has been explored. The proposed Viterbi decoder works satisfactorily in terms of accuracy in robust environment.