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-brain-wave-technology-in-vehicles

- Brain wave technology in vehicles will help an individual to prevent accidents, helps to detect the locations of cars, and helps not to lose the car. - Each user has a personal account in which the brainwaves of the car driver is stored, and 3 more people can get added which will help to compare the brainwaves of normal mode and driving mode from which the EEG sensor on the steering will give warnings and eventually the engine will off if any suspicious activity is found. - The project was done till design then handed to the mechanical department to implement. - The overall accuracy of the simulation was 87%.

batcher-banyan-network

The Batcher network is built by connecting larger bitonic sorters in order, starting with a 2 * 2 bitonic sorter. As a result, connecting to the input long size n * n bitonic sorter when rearranging the array correctly is necessary. The following functions are used to programmatically enforce these. sorter_base (): 2 * 2 bitonic sorter sorter (): n * n bitonic sorter batcher (): batcher network. The Banyan network's basic structure is a sorter with two inputs that sorts by focusing on the defined element of the bit string. When changing which bit to concentrate on and sort, this sorter is linked. It's a Banyan system. The link method is the same as the n * n bitonic sorter, so it can be defined in the same way recursively. After that, you should decide how much of each stage is of interest to you. These are mentioned in the following order in the program. The role of is in charge of putting it into action. banyan_base (): 2 * 2 sorter banyan (): banyan network.

library-management-system

A Library Management system is used for managing books in a university library. Using the ORM diagrams instead of ER diagrams, gave me a new perspective towards this project. Creating buckets in the couchbase server was another challenge. The connection between the buckets was given internally using the link feature in the Couchbase Server. Used SQL queries for inserting data into buckets and jQueries for the operations in buckets.

mtjgit

speech-emotion-recognition

The best way to find the emotion is from the audio file. Here, using MFCC and LOG Energy extract the speech features. For the classification uses the Support Vector Machine(SVM).

weather-application