Abstract-Acoustic complements is an important methodology to perceive the sounds from environment. Significantly machines in different conditions can have the hearings capability like smartphones, different software or security systems. This kind of work can be implemented through conventional or deep learning machine models that contain revolutionized speech identification to understand general environment sounds. This work focuses on the acoustic classification and improves the performance of deep neural networks by using hybrid feature extraction methods. This study improves the efficiency of classification to extract features and make prediction of cost graph. We have adopted the hybrid feature extraction scheme consisting of DNN and CNN. The results have 12% improvement from the previous results by using mix feature extraction scheme.
Aging is a natural procedure prompt changes in quality and amount of muscles in skeletal, due to which muscle shortcoming and disability in moving of maturing populace. Crumbling pain in the arms and legs in the main cause of movement and the basic cause of disability in the spinal cord, cauda equina, or fringe neuropathy. As a result of seriousness and merits, electric wheelchairs are progressively requested in the recent era. Our proposed work is a smart electric wheelchair control by both joystick and a dependent user recognition voice system. To facilitate the patients in the outdoor environment an automatic sun-tracking solar plate is provided to charge the battery itself and automatically tracks sun position to provide not only power backup but also shadow to walk in sunlight. The navigation device is installed for providing realtime navigation which helps the user to select the shortest and easiest route. The proposed system is cost-effective of existing available in the market and also energy efficient.
The design of an engine carburetor is traditionally based on a mechanical device that uses a shutter to control the amount of fuel intake. The fuel is mixed with air to form fuel mixture that is burnt in engine cylinders. This approach has several inherent issues. First, the shutter opening is controlled by creating a vacuum that results in required amount of fuel injected into carburetor chamber. As the speed of a vehicle increases by pressing accelerator, more fuel is required in the carburetor chamber. The rate of increase in fuel cannot be accurately calculated by a mechanical device. Second, the amount of air intake results in an imbalance in fuel mixture ratio. Third, the carburetor's efficiency degrades with age, resulting poor fuel efficiency. This paper proposes EFI for small vehicles. A test case was developed for a two-wheel motor-bike by using an ARDUINO board. The proposed solution was implemented in the engine of motor-bike with minor changes in the carburetor. The cost was quite comparable with mechanical carburetor, and the results were quite promising.T.
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