Pollution Controlling Bricks
Air pollution, particularly in crowded cities, is increasing, mainly due to industrial activity and transportation. A crucial element in construction, bricks are the most important materials in the world.Therefore, one possible approach to reduce pollution is to use“smart” bricks, particularly those that incorporate photocatalytic structures in them. Incorporating Titanium dioxide (TiO2) in bricks could degrade and reduce various pollutants under ultraviolet sun radiation. TiO2-infused bricks would also maintain their optical characteristics for far longer than traditional bricks. This study evaluated the ability of bricks containing TiO2to degrade organic molecules, as assessed by the concrete’s ability to degrade Lithol Rubine bk dye. The amount of TiO2in the concrete samples was 0%, 2%, 4% of the clay. The resulting bricks were exposed to sunlight for 24, 48, and 72 hours. All TiO2 specimens significantly degraded the Lithol Rubine bk dye, demonstrating the potential of this approach to benefit the smart construction industry and, as a result, fight certain types of air pollution.
Published by: Janmesh Bhoir, Shubham Patil, Pratish Patil, Amey Patil, Shivraj G. Patil
Author: Janmesh Bhoir
Paper ID: V7I3-2018
Paper Status: published
Published: June 22, 2021
Phishing Websites Classification Based on Machine Learning
Phishing has been a huge problem since the evolution of the Internet. It is kind of an Internet scam. Therefore, no antivirus or any kind of technical protection can completely eradicate this. But there has been research going on and conducted from intellects across the world to fight this online scam. Researches are coming up with different approaches to deal with this problem. The two main focused approaches taken by researchers to tackle phishing are Black Listing and Machine Learning. Machine Learning is a new and innovative way to tackle phishing. For this thesis I went with Machine Learning and heuristic based approach to tackle phishing. This thesis consist of a comparative study of different Machine Learning algorithm like Logistic Regression and ensemble algorithms like Adaboost and Gradientboost in order to know if ensemble algorithms can do a better prediction rather than standard machine Learning algorithms. The result obtained by ensemble algorithms were good but not as promising as expected.
Published by: Hardik Shah, Dharmik Timbadia
Author: Hardik Shah
Paper ID: V7I3-2006
Paper Status: published
Published: June 22, 2021
Power generation using PN-Junction
This project concept to generate power with eco friendly envornment and low cost. It is also help to save convectional sources because they can be limited. Power genation using burn waste garbage. To reduce the total cost of power genration The peltier effect genration using burn waste genrate heat supply pn junction this heat to genrate temprature diffrence in pn junction and this temperature diffrance the positive terminal proton is to attract the negative terminal of electron and the negative terminal of electron attract to the postive terminal of proton. To generate peltier effect electric charge. This electric charge it used to stored in battery with the help of booster circuit
Published by: Praful Randive, Shivani Ulewar, Pratiksha Lanjewar, Vikas Mohabanshi, Ashim Majumdar, Mayuri Maind, Bhumeshwari Nagose
Author: Praful Randive
Paper ID: V7I3-2047
Paper Status: published
Published: June 22, 2021
Masking private user information using Natural Language Processing
The Internet brings a lot of efficiency to our lives but we must be aware that everyone exchanges a huge amount of data while interacting with the internet. One of the most important leisure activities one gets from the internet is to be able to socialize. For example, social media has become part and the core of our lives. With more than 2.3 billion active users, data privacy is an issue of concern. The world of the internet has become full of frauds hunting for personal information they leverage for their immoral activities. So, coming up with an algorithm that could secure data and process it such that no private data is involved, and machines continue to be trained with greater data. This could mean a dataset with data that is processed in a manner to make it anonymous. If there is any private information, we will mask that information with pseudo data. We use Named Entity Recognition using Deep Learning for identifying and masking personal information. In this paper, we will discuss how we mask private data. This model will be a successful technique to hide one’s personal information to achieve complete data privacy.
Published by: Satwik Ram Kodandaram, Kushal Honnappa, Kunal Soni
Author: Satwik Ram Kodandaram
Paper ID: V7I3-2048
Paper Status: published
Published: June 22, 2021
Breast Cancer Tumor Detection
Women in India confront serious fatalities such as respiratory difficulties, but some also confront serious diseases in the form of breast cancer, which differs for each lady; This dangerous illness has been detected in more than half of middle-aged women. Breast cancer is found by looking for lumps in women's breasts that look like tumors. These anomalies' cells can be treated right away if they're found. However, benign tumors, which are fully non-cancerous, can form lumps with cells of the same size and no structural changes between them. Machine Learning(ML) techniques are frequently utilized to create tools for physicians and diagnosis of carcinoma, which can dramatically improve patient survival rates. The goal of this project is to create a machine learning system that can predict if a tumor is benign or malignant, as well as visualize the properties of both cancers will next be illustrated via graph plotting. Support Vector Classifier(SVC), Logistic Regression, Decision Tree Classifier, and KNN are the used Machine Learning(ML) Algorithms for Breast Cancer Tumor Detection. To compare and assess the accuracy and ROC plotting performance of Machine Learning Classifiers.
Published by: Siddagangu S., Nadhiem Latief, Rekha B. S., Smitha G. R., Priya Bansal
Author: Siddagangu S.
Paper ID: V7I3-1978
Paper Status: published
Published: June 21, 2021
Contactless sanitizer dispensing and temperature reading
In recent times with the rapid spread and chaotic effect of the Covid-19 pandemic, avoiding any exposure to the viruses should be evaded, which has become a compulsion. The basic concept of this project is to make an approach to make the process contactless and hassle-free. ‘Automated hand sanitizer dispenser’ was our mini project which used Arduino Uno as the microcontroller, Ultrasonic sensor as the automated sensor interface to check the presence of the hand and other relative components to make a circuit system pump a certain quantity of sanitizer every time a hand is sensed beneath the setup. Certain plug-ins and switch connections are added to monitor the usage period. Once the circuit is switched ON the Arduino UNO which functions with respect to the code and relative to the relay, which processes the motor to accelerate the pump which will dispense a certain amount of sanitizer from the container automatically. The ‘Contactless Temperature Reading’ is an extension of our mini-project. The purpose of this project in its entirety is to dispense sanitizer and to read the human temperature in a contactless manner. In order to realize the human body temperature fast and non-contact mode, an infrared human body temperature sensor is mainly used to convert the human body’s infrared into a voltage signal, which is then converted into an electrical signal that is passed to Arduino NANO, which is the microcontroller in this case. The signal is then passed to OLED to display the temperature on the screen. The ultrasonic sensor is used to know the distance at which the object is placed. It detects the object with the help of a reflected echo signal. The power generated on the Arduino NANO board is enough for the proper functioning of the thermometer. The detected temperature is displayed on the OLED display along with a buzz note from the buzzer.
Published by: Jakkam Adithya, L. Ushasvi, Y. Santhosh, P. Aaron Joshua
Author: Jakkam Adithya
Paper ID: V7I3-1340
Paper Status: published
Published: June 21, 2021
