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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.

Submission Deadline
18 Jan 2022 (Vol - 53 , Issue- 01 )
Upcoming Publication
31 Jan 2022 (Vol - 53 , Issue 01 )

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:

Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science
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

Practicality of Back Probagation Network in The Plan of Viterbi Decoder

Paper ID- AMA-05-12-2020-10484

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.

Execution assessment of fluffy and BPN based clog regulator in WSN

Paper ID- AMA-05-12-2020-10483

In a Wireless Sensor Network when an event is detected, the network traffic increases. It in turn increases the flow of data packets and congestion. Congestion in Wireless Sensor Network plays a vital role in degrading the performance of the network. Hence it necessitates, developing a novel technique to control congestion. In this paper, soft computing based congestion control technique is proposed. Fuzzy logic and neural network are the soft computing tools used for estimating the packet drop. The performance of the proposed technique is evaluated using Accuracy. From the results, it is proved that neural network based congestion control technique provides better results than fuzzy based congestion control technique.

A 4 × 4 Steward Network for 28 GHz Exchanged Multi-Beam Radio wire

Paper ID- AMA-05-12-2020-10482

In this paper, a 4 × 4 Butler matrix (BM) switched-beam patch antenna array is designed and discussed. The design is developed on a single layer of Rogers material; RO 5880 with dielectric constant 2.2 and thickness 0. 254mm.This makes the designed antenna low cost and easy of fabrication. The four rectangular patches fed by inset microstrip lines are connected to the outputs of the BM. The results show wide bandwidth that covers from 24.67 GHz to 30.2 GHz in all the four inputs, and the highest array gain performance of 10.8 dBi at 28 GHz. The designed switched beam antenna provides a cost effective approach to implement at 28 GHz wireless communications.

Characterization of Main Deficiencies in the Creation Cycle of Expelled Aluminum Profiles

Paper ID- AMA-05-12-2020-10481

Aluminium use has been rising steadily in recent decades. Several different industries are adapting it since its light weight, doable structure and robustness. Aluminium manufacturing runs in three ways; namely: (1) cascading, (2) extrusion and (3) drawing. Extrusion process is used to form aluminium in profiles which is one of the main semi/final-products for many industries. Although profiles production runs smoothly and easily most often, there are a number of repeated faults which might occurs during the extrusion process and some distinct patterns of faults and defects can be seen on the surface of the produced profiles. This paper describes the main types of these faults and defects and suggested solutions to avoid them based on 24 months of observations for the production process at three different extrusion machines in two different aluminium profiles manufacturing plants. The main aim of this study is to classify these faults and defects to help manufacturer to control and to avoid them or at least to minimize their occurrences by optimising quality control systems.

A Polygon Delivering Technique with Precomputed Data

Paper ID- AMA-05-12-2020-10480

The spatial data contain a lot of points. The points consist of geographic coordinates. Representing the spatial data requires many calculating the geographic coordinates. Calculations of the coordinates take much time and reduce the performance. In order to enhance the performance of rendering the spatial data, performance enhancement for rendering the polygon which are in spatial data is needed. In this paper, we present that improving the performance of rendering for polygon by utilizing the scanline algorithm. The scanline algorithm has been widely used for rendering graphics systems. It fills inside of a given polygon. In order to filling the polygon, it requires some calculations and tables for storing the variables. Calculating and sorting the variables reduce the performance. We propose a method which precomputes the variables used by the scanline algorithm. By using proposed method, it can reduce the processed time. Proposed technique can be utilized to zoom in and out the map. We implement the proposed method and perform the experiment with Tiger/Line spatial data. We compare the processing time between scanline algorithm and proposed method.