Rajvi Patel's Projects
Context Switching involves storing the context or state of a process so that it can be reloaded when required and execution can be resumed from the same point as earlier. Act of switching from one process to another is called a "Context Switch".Typically there are several tasks to perform in a computer system. So if one task requires some I/O operation, you want to initiate the I/O operation and go on to the next task. You will come back to it later. When you return back to a process, you should resume where you left off. For all practical purposes, this process should never know there was a switch, and it should look like this was the only process in the system.
Sea-level rise affects the lives of people in coastal areas and it is causing the sea to inundate villages during high tide season which has changed people's lives because houses are destroyed and areas, where families gather, are being washed away. By predicting sea-level we can save their lives. Initially, for the local prediction, I have considered the following features which are affecting the most to rise of sea level: Local precipitation, Local temperature, Local population, Local CO2 concentration and for the global prediction, I have applied a different set of features: Global precipitation, Global temperature index, Global population, Global CO2 concentration. If we increased features than prediction will get even worse. So we have to choose features that affect the most to the prediction. The performance of linear regression algorithms under various conditions is derived using cross-validation on the latest 20% of the dataset, which was left out from the data-set. Other machine learning concept like PCA, GMM and SVM are also applied to understand their behavior.
Elastic Integrations
This project will work as mentioned below.First, Client will send a join request to the server to join the multicast group.After that Server will provide station list, site info to the client through TCP. Then whichever station it selects from the station list, it is connected to that station.All the stations are sending data, irrespective of client is connected or not. This functionality is incorporated to relate more with real life situation, e.g Tv/radio sends data even though there is no receiver connected.Whenever receiver connects to a particular station, it starts receiving live-streaming videos from that station. Receiver can pause, resume, change station or even terminate at any given time from GUI using thread.
Our main objective in this project is to create a library management system wherein students can issue books and the admin or librarian can update/delete the record of books kept in the library. So we have the system into two parts : from user’s perspective and from admin’s perspective. First of all, the admin must login to handle the accounts where the username and password are already set. After he has logged in successfully, he can add, delete and update the books. He can add any new book in the already existing list of books. Similarly he can also delete any existing book. In the update option, the admin can update the quantity of books as well as the name of the book. As and when the admin adds the books, a binary search tree will be created where the nodes contain the name of books and are put in sorted order. Now if a student wants to issue/return any book, then he/she must login into the system, by enetering their valid university ID. The student will be allowed to issue/return only if their ID matches the list of university ID’s of students. When the student enters the name of book to be issued, that particular book will be searched by it’s name, in the already created binary search tree. If the book is not found in the tree, then a message will be printed “Book is not available in the library”. And if the book is out of stock, then this message will be printed, “This book is currently unavailable. Please try after some days.” Moreover, the student cannot issue more than 2 books simultaneously. When the student issues a book, the issuing date and time is recorded by the librarian. And if the student misses the due date of returning the book, then he has to pay that particular fine.
Discriminant analysis methods can be good candidates to address such problems. These methods are supervised, so they include label information. The goal is to find directions on which the data is best separable. One of the very wellknown discriminant analysis method is the Linear Discriminant Analysis. Linear Discriminant Analysis (LDA) is most commonly used as dimensionality reduction technique in the pre-processing step for pattern-classification and machine learning applications. The goal is to project a dataset onto a lower-dimensional space with good class-separability in order avoid overfitting (curse of dimensionality) and also reduce computational costs. Pertaining to our problem, we are given a [32 X 32] binary image as input and the goal is to apply LDA technique to transform the features into a lower dimensional space, which maximizes the ratio of the between-class variance to the within-class variance, thereby guaranteeing maximum class separability between two classes in our case with the minimal loss.
The system in the project works by taking input values from capacitor as a sensor. The capacitor is placed inside the tank and as the liquid level rises or decreases, the input values from the capacitor change. By calibrating according to user needs, we can set a LOW level, a MID level and a HIGH level. When the level reaches LOW or empty initially, the pump in the main tank will start up and the liquid will flow into the previous tank. User can give input using a switch to decide if he/she wants the tank to be half-full (MID). By default the pump will turn off once the level is HIGH. At some point if user wishes to turn this cycle off, there is a switch which can turn the entire system off. In case of system failure because of faulty components, if the liquid level goes above HIGH, a buzzer will go off as an alarm to the user. For better visual indication, a LED will give respective colors to indicate different levels. Red for LOW, Green for MID and Blue for HIGH. This system can work with any type of liquid as it works on the concept of dielectric medium.
The aim of this project is to classify the mood/sentiment of hindi songs from their lyrics. We are going to classify a song by training and testing the lyrics into different classes of moods. The moods we are going to classify the songs into are : Romantic Sad Party For classification of songs, we have used different inbuilt Machine Learning classifiers available in the sklearn library of Python We are also considering the artists’ names as the input feature for the classifiers along with the song lyrics.
Created responsive PClub website of Ahmedabad University.
Our project is restaurant management system, where we provide all the details that a manager needs to run the restaurant from ordering the food to generating bill and payment. In our project only an authorised person i.e. manager can login, He can see the data of customers and employee. He can also add, update or delete customer. We have table masters who assigns table to the customers and chef who prepares food, also main feature is we calculate the time taken to serve customer food after order is placed. And we also have preparation time for each food individually. Chef also gets bonus if he prepares food early than expected, and customers are given more discount if food is delivered to them late as reward for their patience. We allocate table based on members and table masters does that job, also customer can prebook their table. Also, we keep a record of the employee who have left their table, like which employee left and when. Menu is displayed based on categories, like food with same category are displayed together. We also have record of increase in the price or ratings, like if food price is increased then old price and new price, and also ratings of food, like which food is trending and hitting our restaurant or which food is not doing well And we generate bill automatically based on order items, and we have got many payment options like cash, card, paytm, etc.
Thalessemia cannot be completely stopped or controlled, but we can predict at which generation the thalassemia genotype becomes minor and is not severe. One way is to select an appropriate spouse that has no sign of any traits of thalassemia, if you have major/minor traits, so the chances that the child may inherit any trait of thalassemia will completely eliminate. If both the parents have major thalassemia traits, then there are full chances that the child will also inherit the same, In such cases, the couple should decide not to reproduce so as to stop the transmission to any future generations. Thus, it is important to accordingly model the transmission of thalassemia to bring it in control with generations.
This project deals with the increasing traffic problems in cities. We decided to work on this topic due to the following reasons :- Reducing traffic congestion, reducing long time delay, keeps track of vehicles and many more. Also we have seen that due to traffic emergency vehicles (ambulance,fire brigade) get delayed to reach on time.We will use IR sensors to sense the limit of the maximum vehicles. The sensors will send the signal to the microcontroller. It will compare which road has the highest density of vehicles and will send the signal to open that particular road for crossing. Thus, reducing the traffic. We are also using sound detecting sensors. Whenever it detects sound in form of siren for any emergency vehicle(like ambulance, fire brigade). These sensors will also send signal to microcontroller to make that signal green , so that the emergency vehicle can pass easily and takes less time.There is also a temperature sensor that can sense the temperature and display it on LCD display. These two are also connected with microcontroller .
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