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Internet of Things (IoT) based smart devices are the core elements for any smart environment. The sensors and actuators make the life easier when they are connected to one another and to the Internet. The Smart city and 'Swach Bharath Abhiyan' projects introduced by the Government of India tried to promote clean and hygienic Environment. The constant growth of population, industrialization and urbanization increase the unorganized manner of dumping the solid waste in landfills. Smart waste management is the must in all countries due to the voluminous generation of solid waste. In this paper, a methodology for monitoring the dustbins in smart cities, household or organization is proposed. The dustbins are monitored very often to check the garbage level. Whenever the dustbins reach maximum level, alert will be sent to the corresponding authorities with the bin details to dispose the waste. Additionally, the gas sensors in the dustbins detect the bad smell and alert when it reaches the threshold level though the garbage level will not reach the dustbin's maximum capacity. The areas which require emptying the dustbins very often area also identified. Large-scale implementation of the system will promote a clean and hygienic environment.

The design and real time implementation of an integrated fuzzy logic controller (IFLC) for a multiple-input multiple-output (MIMO) system is presented. The design of IFLC for an uncoupled MIMO system has been discussed. This study develops a combination of fuzzy and PID controllers (PIDC) to improve the control performance of a two-input-two-output (TITO: angular position, and rotational speed) system. These parameters play a vital role in radar-tracking system for military applications. To verify the applicability of proposed controller, two-motor unit plant along with indigenously designed multi-channel analog interface board of 16-bit precision is used. The proposed MIMO control system is interfaced to a PC through its parallel port. The performance of the system is studied by subjecting it to various standard test signals. The IFLC performs better than the other two controllers in tracking the input command for linear as well as nonlinear inputs such as step, square, triangular, and sine waves is observed.Defence Science Journal, 2011, 61(3), pp.219-227, DOI:http://dx.doi.org/10.14429/dsj.61.24