Submission Deadline
14 May 2021 (Vol - 51 , Issue- 01 )
Upcoming Publication
30 Jun 2021 (Vol - 51 , 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 Study on Low Recurrence Commotion of Dehumidifier utilizing Acoustic Characteristics

Paper ID- AMA-05-12-2020-10464

The purpose of this research is to analyze sound characteristics of low frequency noise of dehumidifier and moreover, utilize it as a method to remove and reduce low frequency noise. Common noises made from dehumidifiers can be seen into two perspectives; fan noise and low frequency noise. Especially, low frequency noise of dehumidifier tends to be louder than home electronic devices which have similar characteristics. Also, depending on the height of the machine, characteristics of noise may vary due to its structural feature. Therefore, this research studies those causes and research on fundamental parameters for identifying what makes low frequency noise and how to reduce it

Lessening Errors of Judgment of Inebriation in Overloaded Discourse Signal

Paper ID- AMA-05-12-2020-10463

This research looks into parameters for reducing errors of judgment intoxication by comparing speech characteristics before and after drinking using speech analysis. In this study a drinking is tested to speech signal under overloading condition, there are many of some errors in unstable conditions. Therefore, it should be determined by using judgment algorithm that is not affected by overloading. So we have searched valid frames using energy of speech before and after drinking were extracted and drinking possibility was identified by using deviation from the distance of frames. In terms of speech frame energy its value changes greatly in overloaded but energy ratio largely stays the same in normal. Therefore, after applying overloaded signals to proposed method, we get this similar result with a normal input signal was obtained