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:Azerbaijan Medical Journal
Mobile Adhoc Network provides a new challenges and difficulty when nodes are used in large network with maximum number of nodes and the reason of limited bandwidth and dynamic topology establish a good route from nodes and maintaining that routes is a very hard. To achieve the security in Mobile Adhoc Network (MANET) is very difficult because of changing topology, wireless links vulnerability, and more management point. In this proposed system we proposed onion protocol with Advanced Encryption Standard (AES) algorithm and multi-hop route forwarding algorithm. In the proposed we propose an onion routing networks using a new protocol. We describe a new secure and reliable packet sending scheme using the onion routing with Advanced Encryption Standard (AES) algorithm. When node comes to registering in network, it will get the primary key, secondary key, node id. Once source identified shortest path to destination node, it will get primary key of all nodes in the shortest path. This onion protocol with Advanced Encryption Standard technique is used to secure the data from other nodes in the network and provide the reliable packet delivery to destination. In this proposed system we use multi-hop Route forwarding algorithm technique to provide efficient shortest path from source node to destination node. It achieves shortest path identification by test of request and response process. In the proposed system all intermediate nodes not only doing packet forwarding and it is responsible for decrypting the packet using that secondary key. Secure and reliable packet delivery is achieved in this system by onion routing with Advanced Encryption Standard algorithm and multi-hop route forwarding algorithm.
One of the major socio-economic issues of the rural India is healthcare. This paper is proposed for a system that will provide telemedicine service to the rural India. Interactive Voice Response(IVR) is a developing tool for providing general and detailed telemedicine services. Mobile phones being the primary communication device in developing India, an integrated Interactive Voice Response service provided through mobile phones for telemedicine will be a beneficial act. In India, various providers provide IVR services. One of them is the KOOKOO cloud telephony service. This service can be made available to all the mobile phone users of the country regardless of the model and specification. Implementing an IVR service for telemedicine will carve a new way, as this system can be more effective with reduced cost. Existing use of IVR in telemedicine includes outpatient reviews and doctor’s appointment system, which are not more in reach to the patients. But the proposed system can be used by the whole of the population of India by their handheld mobile phones. The major advantage of this system will be the fact that the user of the service (In rural cases farmers and tertiary workers) need not be aware of working model. That is, the user can still be benefited even if they don’t have any basic knowledge about the system.
The present study deals with the Geomorphological Changes Detection study in Pulicat Lagoon. The study involves identifying the geomorphologic changes occurred due to the natural disasters and manmade activities using 2008, 2010, 2013 satellite Images by adopting Remote Sensing Technologies and GIS tools. The study area is located in Nellore district of Andhra Pradesh, India located between longitude 80° 3¢3² to 80° 18¢6² and 13 °28¢ 32² to 13° 57¢6² latitude. The study area is covered under the Survey of India (SOI) toposheet no 66C/1,2,3,5,6 and 7 with scale 1:50000 and Multi-Spectral imageries from IRS-P6, LISS III, IV data of 2008, 2010 and 2013 Geocoded Satellite data are acquired as primary and secondary data for analysis. Visual Interpretation techniques are used to identify the Geomorphology classes from 2008, 2010 satellite imageries, ground truthing and post interpretation of the satellite image for preparation of 2013 Geomorphology map in this different classes like Creek, Flood Plain, Coastal Plain Moderate, Buried Pedi plain etc. are identified. These spatial data maps generate statistical values of geomorphological classes, from this data analysis was carried out to find out the changes in the Geomorphology classes of 2008 to 2010 and 2010 to 2013. These type of model studies are very useful to identify the coastal geomorphological changes, its impact on coastal environment and in preparing the action plans to protect the coastal environmental.
Nature Inspired Meta-Heuristic algorithms are proved to be beneficial for solving real world combinatorial problems such as minimum spanning tree, knapsack problem, process planning problems, load balancing and many more. In this research work, existing meta-heuristic approaches are discussed. Due to astonishing feature of echolocation, bat algorithm has drawn major attention in recent years and is applicable in different applications such vehicle routing optimization, time-tabling in railway optimization problems, load balancing in cloud computing etc. Later, the biological behavior of bats is explored and various areas of further research are discussed. Finally, the main objective of the research paper is to propose an algorithm for one of the most important application, which is load balancing in cloud computing environment.
The Firefly and Cuckoo search algorithm are the best known algorithms for solving meta- heuristics optimization problems. It is necessary to develop hybrid algorithms derived from Firefly and Cuckoo search algorithms, for finding cross country optimized path as to detect the probability of terrorists in the country defense system. By moving from source to destination (terrorists), the best optimized path is chosen. To track the movement of terrorists and their location (region), the Firefly algorithm can be used which has the behavior to get inspired very quickly from the flashing behavior of fireflies. Through this property we have chosen the best region among various regions based on its light. Then after it, the optimized path is find out from that region using Cuckoo search which has the behavior of laying its own eggs in the nests of other host birds. This research paper discusses about the working of firefly and cuckoo search algorithm and their advantages and disadvantages. Later, we analyze the performance of firefly algorithm and cuckoo search on the basis of various factors such as light, communication and behavior.