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This paper proposes a unique standalone hybrid power generation system, applying advanced power control tech- niques, fed by four power sources: wind power, solar power, storage battery, and diesel engine generator, and which is not connected to a commercial power system. Considerable effort was put into the development of active-reactive power and dump power controls. The result of laboratory experiments revealed that amplitudes and phases of ac output voltage were well regulated in the proposed hybrid system. Different power sources can be interconnected anywhere on the same power line, leading to flex- ible system expansion. It is anticipated that this hybrid power generation system, into which natural energy is incorporated, will contribute to global environmental protection on isolated islands and in rural locations without any dependence on commercial power systems.

A fully automated house must ensure all the appliances must be connection and provide a smart way of working for the human. The insight of Internet of Things (IoT) network provision the necessary platform to implement the automated home. The proposed system emphasizes, how all the appliances would be connected to IoT to ensure fully automated home. In this framework the smart home has been divided into various areas like smart kitchen, smart gardening, home safety and security system, and smart lightning system. The reliable protocol stack has been utilized to provide efficient communication along with proper security measures. The reliable protocol suite works on top of MQTT and TCP to ensure reliable communication. The smart gateway utilized for this framework and provides firewall security as with a two-phase filtering mechanism as well as scalability. among all the appliances in the home.

This work attempts to use nitrogen gas as a shielding gas at the cutting zone, as well as for cooling purposes while machining stainless steel 304 (SS304) grade by Computer Numerical Control (CNC) lathe. The major influencing parameters of speed, feed and depth of cut were selected for experimentation with three levels each. Totally 27 experiments were conducted for dry cutting and N 2 gaseous conditions. The major influencing parameters are optimized using Taguchi and Firefly Algorithm (FA). The improvement in obtaining better surface roughness and Material Removal Rate (MRR) is significant and the confirmation results revealed that the deviation of the experimental results from the empirical model is found to be within 5%. A significant improvement of reduction of the specific cutting energy by 2.57% on average was achieved due to the reduction of friction at the cutting zone by nitrogen gas in CNC turning of SS 304 alloy.

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