Multiple clustering solutions using FK-means Algorithm
Most of the clustering algorithms try to find a single efficient clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different efficient clustering solutions are interesting for different views. This is particularly true in the high dimensional, where different views reveal different possible groupings of the data. In this paper, we apply multivariate mutual information to find multiple views for the data by grouping features. Then we apply the Fast K-means (FK-means) algorithm to these different views to find multiple clustering solutions. Our experiments on synthetic and real data show that our method can discover multiple views of the data that correspond to different solutions
Published by: Ahmed I. Taloba, Rasha M. Abd ElAziz
Author: Ahmed I. Taloba
Paper ID: V6I2-1389
Paper Status: published
Published: April 14, 2020
Production of bio fuel from used cooking oil
Biodiesels are very good alternatives to diesel oils as they have similar properties. It is one of the best substitutes for the fuels and it has acquired significance due to the shortness of conventional fuels. These biodiesels can also be produced from waste cooking oil by transesterification process. These waste cooking oils are better options for conventional fossil fuels. Also, biodiesel can be produced from animal fats and vegetable oils but it may compete for the food supply. Waste cooking oils are considered to be a substantial feedstock.
Published by: Nandhini M., Deva Dharshini S., Kanimozhi R.
Author: Nandhini M.
Paper ID: V6I2-1378
Paper Status: published
Published: April 14, 2020
Automatic toll tax collection system using RFID
ATTCS is an Automatic Toll Tax Collection System. In this paper, the evaluation of the performance of the Automatic Toll Tax Collection System Using RFID is being carried out using JAVA Technology implemented on Net Beans IDE 8.0 and My SQL Database. The automatic toll tax collection system also carries its Wampserver Connection and mailing SMTP protocol. The automatic toll tax collection system is used for collecting the toll tax automatically that helps in reducing the heavy congestions and avoiding traffics caused in the metropolitan cities toll plaza. For this, we provide a particular RFID tag for each vehicle whether a person buys a new vehicle or have a there existing vehicle. The particular RFID tag has its own unique identification number assigned which stores various information in there database server like username, password, address, email, mobile number, vehicle number and prepaid account. Whenever the vehicle has to pass the toll plaza then it must have their particular RFID tag that has been assigned for that particular vehicle in which RFID Reader reads and verifies the vehicle information and then deducts the tax amount from their prepaid account balance. If any of the processes fails that vehicle is trapped and now that particular vehicle is being verified manually and then passed through the manual toll gate. This system helps in saving time, money and fuel conservation as well as helps in trapping the unauthorized illegal vehicles.
Published by: Shivam Singh, Shashank Shukla, Sangam Kumar Mishra, Vishal Kumar Singh
Author: Shivam Singh
Paper ID: V6I2-1373
Paper Status: published
Published: April 11, 2020
Tracking of ambulance in rural areas in emergency situations using GPS and GSM
This program accomplishes two major purposes. The first task is to track the patient carrying ambulance and then the second purpose is to relay the small print of patient information to the hospital or doctor using a GSM device. Using this project, we will figure out where the ambulance is placed and at the approximate time of arrival of a patient. An SMS containing the location and approximate arrival time values is sent to every designated person in the hospital to a Doctor's cell phone. This knowledge will then be used to intimate Doctors about the location of an ambulance and the time of arrival. Using these guidelines, the doctor will do all the arrangements required for patient care. This uses IOT monitoring technology to view position. Upon getting SMS hospital, its personnel will brace for the proper diagnosis and procedures of the patient to come.
Published by: Kari Yamini Priyamvadha, Shaikh Shakeela, Pabbisetty Girish Sai
Author: Kari Yamini Priyamvadha
Paper ID: V6I2-1351
Paper Status: published
Published: April 11, 2020
IoT based automatic irrigation system on greenhouse
This project is to provide an automatic irrigation system thereby saving time, money & power of the farmer. The traditional farm-land irrigation techniques require manual intervention. With the automated technology of irrigation, human intervention can be minimized. Here a framework is proposed to screen crop-field utilizing sensors for soil dampness, stickiness, and temperature. By observing these parameters our irrigation system can be mechanized if soil dampness is low. We also have notification of field status via E-mail or SMS. In drip Irrigation water drop by drop at the position of the roots. It is the best technology for watering fruit plants, gardens and trees. Water flows through the main pipe and divided into sub pipes. Specially prepared nozzles are attached to these sub pipes. In this system waste of water is very less and no worker needs for irrigating. Our system knows the status of the farm field then ON/OFF the gate valve according to the moisture level in the field
Published by: Darniss, Asha S., Gowtham S., Vanathi A., Rahul Krishnan
Author: Darniss
Paper ID: V6I2-1362
Paper Status: published
Published: April 11, 2020
Prediction of Parkinson disease by methods using Machine learning approach
Parkinson’s disease is the neurodegenerative disorder by which more than 10 million people are affected. The dropping of dopamine levels leads to Parkinson’s disease. For diagnosing Parkinson’s disease there are no medical tests are available. The doctors cannot detect the disease through any medical tests like a blood test or scan reports. To prevent this problem in medical sectors, have to predict the problem in a simplified way. The dataset is analyzed by a Supervised machine learning approach to identify various information. The data pre-processing techniques like data cleaning, data validation are done in the collected dataset to avoid noise and missing values. Data visualization is used to visualize the given dataset in different formats like graphs, charts, etc. Symptoms like speech and tremors are used to identify the disease through a machine learning approach. With the best accuracy, Precision, Recall, and Sensitivity, the Graphical User Interface (GUI) is used to show the predicted result.
Published by: Chitra S., Manisha R., Gayathri K.
Author: Chitra S.
Paper ID: V6I2-1363
Paper Status: published
Published: April 8, 2020
