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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
28 Sep 2022 (Vol - 53 , Issue- 10 )
Upcoming Publication
30 Sep 2022 (Vol - 53 , Issue 09 )

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 Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology
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

Multi User Detection For FD-MC-CDMA system In Presence Of CFO Using Fuzzy Logic Based Adaptive Genetic Algorithm

Paper ID- AMA-04-08-2021-10494

Novel Multi User Detection (MUD) techniques to improve the efficiency of receiver in 5G wireless communications with the Frequency Division Multicarrier CDMA (FD-MC- CDMA) receiver are suggested in this research paper. Carrier frequency offset (CFO) on Multi-Carrier systems minimizes the efficiency of system; therefore, it is essential to estimate of CFO and minimize the influence on multiple carrier modulations systems. Introduction of novel MUD Schemes, Carrier Frequency Offset Estimation techniques on FD-MC-CDMA system are also focussed. There are several existing Multiuser Detection (MUD) schemes that suffer from performance degradation issues like optimisation in MAI and noise in the system, Near-far effect and Inter Symbol Interference (ISI). The combination of FD- MC-CDMA and MUD system is introduced and is designed for a novel Adaptive Genetic Algorithm (AGA) aided MUD using the Soft Computing Approaches such as Adaptive Population Sizing in Genetic Approach and Fuzzy Logic Controllers into the Adaptive Genetic Algorithm are simulated and analysed. The Bit Error Rate (BER) and Evaluation Complexity of the suggested MUD Schemes has been investigated under various Frequency Selective Fading Channels such as Additive white Gaussian noise (AWGN) channel, Rayleigh Fading Channel, and Rician Fading Channel. The simulation results are compared with existing non-linear MUD schemes, Successive Interference Canceller (SIC) and Parallel Interference Canceller (PIC). From the simulations, it is indicative that the efficiency of suggested AGA aided MUD is superior when compared to mentioned approaches.

A Robust and Scale-Invariant Computer Vision Based Method for Corrosion Identification

Paper ID- AMA-04-08-2021-10491

Corrosion is one of the most universal major defects in structured systems and can cause many safety risks if proper treatment and maintenance is not done. Robotic systems such as drones with integrated machine vision modules for real-time corrosion monitoring have the potential to significantly decrease the inspection time, unreliability of inspection procedures. This study investigates the use of bag of key points method for visual categorization of corroded and non-corroded images. The notion behind bag of key points method is that an image can be represented as a histogram that counts the occurrences of visual words. These visual words are obtained by clustering feature vectors of key points in the training images. We have used SIFT (Scale Invariant Feature Transform) descriptors to represent key points and used the following algorithms for classification after clustering the descriptors and generating features of fixed size: SVM, Decision Tree, Random Forest, KNN, ANN. We present results for corrosion identification problem and the results reveal that the method proposed is robust and produces good performance measures.

Various leveled Watermarking Structure for Consolidated LSB and Wavelet Methods

Paper ID- AMA-05-12-2020-10489

In this study, we present a scheme that combines LSB (Least Significant Bit) DWT (Discrete Wavelet Transform) watermarking techniques. Data compression has rapidly evolved due to variable mobile terminals and the vast amount of images and video. It is necessary to prevent access to and maintain the confidentiality of data. LSB and wavelet watermarking methods have arisen to address this need. However, unlike the LSB insertion method, the proposed scheme is effective against several attacks. The scheme first inserts a watermark using LSB in a test image, and 3-level DWT decomposition is implemented for robustness and security. We measured the Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR) to validate the scheme and acquired reasonable results. This study highlights the hierarchical structure of the LSB and wavelet-based watermarking technique.

Technique Enlarge Power Brightening Without Adding Power Electricity

Paper ID- AMA-05-12-2020-10488

The savings in power electricity consumption should be done in order to be enjoyed by many people. Method lowering the location of the point of the lamp can increase the intensity of illumination and can increase the ability of the power of view from the eye. The length decreases the lamp point depending on the size of the subject anthropometry stood up hands grasping. From 6 lamps TL2x18 watt which mounted, generating intensity of illumination about 336.43 lux on the decline throughout the 90 cm and 344 luces along 99 cm. In Table 1 it appears that the intensity of illumination 344 lux and 336.43 lux can see with bright the letter height 2.2 cm and a width of 1 cm as far as 488 cm. This method can be used anywhere and can help in saving energy.

A Real-time Convenient Bioacoustics Species ID Plan Ideas

Paper ID- AMA-05-12-2020-10487

Recently there has been an increasing demand of an automated system for animal species identification, where it needs a perfect good knowledge, understanding of the nature under vision and proper efficient system design. Embedded systems nowadays are offering a brilliant solution. Based on nature of economic and feasibility of advanced, embedded technology is chosen. This paper proposes a design of real-time portable bioacoustics species identification system. It contains two major correlated modules apart, the identification module and the system control module. The identification module is to be implemented in FPGA hardware to achieve species identification process while the system control module will manage and control the entire system. The proposed system is a combination of hardware, software development and operating system customization. It is designed to be decentralize, therefore the need of any server is eliminated. It can be placed anywhere, can be viewed and accessed from anywhere through a web server built-in.