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:
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.
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.