Results for 'Ramamoorthy Senthilkumar'

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  1. Machining Behaviour of Aluminium 6063 with Strengthen Aluminium Oxide and Chicken Bone Ash Produced by Modern Technique.R. Ramamoorthi & K. Sriram - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):11-23.
    In this experimental investigation the Aluminium 6063 is treated with Aluminium Oxide (Al2O3) and Chicken Bone Ash (CBA). This Aluminium metal matrix composite is mixed at certain compositions and observed with the mechanical properties. Two main mechanical properties which includes Surface roughness and corrosion behavior is mainly focused in this research work. In this Research work aluminium hybrid metal matrix composite (AHMMC) is fabricated through stir casting process. Al6063 shows good mechanical properties and corrosion behavior changes, when combined with reinforcements, (...)
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  2. Speech Based Controlled Techniques using NLP.R. Senthilkumar - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):24-32.
    The main objective of our project is to construct a fully functional voice-based home automation system that uses the Internet of Things and Natural Language Processing. The home automation system is user-friendly to smartphones and laptops. A set of relays is used to connect the Node MCU to homes under controlled appliances. The user sends a command through the speech to the mobile devices, which interprets the message and sends the appropriate command to the specific appliance. The voice command given (...)
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  3. Prognostic System for Heart Disease using Machine Learning: A Review.R. Senthilkumar - 2021 - Journal of Science Technology and Research (JSTAR) 2 (1):33-38.
    In today’s world it became difficult for daily routine check-up. The Heart disease system is an end user support and online consultation project. Here the motto behind it is to make a person to know about their heart related problem and according to it formulate them how much vital the disease is. It will be easy to access and keep track of their respective health. Thus, it’s important to predict the disease as earliest. Attributes such as Bp, Cholesterol, Diabetes are (...)
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