Evaluation of coastal aquaculture ponds using remote sensing and GIS

1205-1209Coastal aquaculture is one of the fast growing food production sectors worldwide, contributing to more than half of the total volume of aquatic foods for human consumption, and offering great potential for global food security. Remote sensing and GIS technologies contribute to the mapping and monitoring of changes in aquaculture providing essential information for coastal management applications. The present study investigates the growth and expansion of aquaculture and its spatiotemporal dynamics in Nagapattinam district (from Vedaranyam to Vettar River) over the last decade. Multitemporal IRS 1C and IRS P6 remote sensing data were analyzed for detecting and assessing land use and land cover (LULC) change in the Nagapattinam area (Tamil Nadu). Visual interpretations have been made with the help of field surveys, primary data collected on field, and secondary data from government departments. LULC maps were prepared to identify changes in aquaculture areas. The classified area for aquaculture in Nagapattinam is 4.02 km2 in 2006 and 9.80 km2 in 2016. Similarly, the salt pan areaincreased from 0.53 km2 to 1.53 km2 in 2016. The coastal wetlands and marshy lands were used for aquaculture and salt pan activities during 2006 to 2016, providing a livelihood for the people in that area. The study will assist to identify change dynamics in environmental sustainability in the context of livelihood option/development activities

STUDY OF MEDICAL MECHATRONICS

Abstract Medical mechatronics explains innovative solutions for exploiting mechatronics in the medical instruments by optimizing the available conventional instruments and also creating new innovative, intelligent and accurate instrument. This paper gives a brief introduction about sensing and actuating technologies, automation and control systems used in the medical field. The paper also discuss about the principles and methods of processing and controlling mechanism in mechatronics system. In controlling, the artificial neural networks (ANNs) and fuzzy expert systems are commonly used one. ANNs are biologically inspired computer programs designed to simulate the way in which the human brain processes information. Whereas fuzzy expert system uses predefine membership functions and fuzzy inference rules to map numeric data into linguistic variable terms and to make fuzzy reasoning work