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.
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:
The information fortune and the connectivity are provided by the universe of E-commerce over an enormous distance at all time. In an open and distributed environment the buyers or providers will not act in a mutually understood or agreed manner by which the incomplete practices and fraudulent activities happen. So in any online transaction the security and trust are two important factors that are to be considered. In Ecommerce markets the above mentioned problems are criticized as the most important barriers. In order to improve these barriers a trust based third party mechanism is successfully adopted as a self-regulatory system to improve the buyer and seller trust. The online transactions are made very easy now days by E-commerce technologies. Built integrity belief approach (BIB), Support Vector Mechanic approach (SVM) and Random Number Generation approach (RNG) are the three approaches which are mainly used in this paper for online trust management. The seller and the buyer communication will be handled through the trusted third party. Apart from this a coupon based approach is introduced as an advancement in this paper for providing discount schemes which is helpful in attracting the customer who purchase beyond the threshold level fixed by the seller. Moreover a product review study is integrated in order to reduce the scam reviews in online transactions.
In this paper, a new approach for Arabic language morphological analysis is presented. Unlike other commonly used approaches that are based on pattern matching, we propose defining the structure of Arabic language words using context free grammar (instead of regular expressions). Thus, parsers can be generated to do morphological analysis. This approach considers the annotation marks that are usually neglected by current morphological analyzers, which results in a more detailed analysis.