Health Expert System – Prediction of Disease using Data Mining
The main purpose of data mining application in health care system is to develop an automated tool for identifying and disseminating relevant healthcare information. The objective of our system to provide a prediction of disease depending on symptoms so as to take proactive treatment against the disease. The system would reduce the human effort, reduce cost and time constraint in terms of human resources and expertise, and increase the diagnostic accuracy. In most developing countries, insufficiency of medical specialist has increased the mortality of patients suffering from various diseases. Insufficiency of medical specialists will never be overcome in short period of time. The main idea of the project is to assist doctors, who fail to detect fatal diseases. The intelligent doctor will accept symptoms of the patient. The symptoms and the databases are matched to produce a list of diseases and sufferings with their probabilities. We have used Apriori and Frequent Pattern Growth algorithm for predicting the disease for given set symptoms. The whole process can be termed as KDD.
Published by: Vinayak Sharma, Gayatri Mulchandani, Shivani Subnani, Gaurav Gianani, Anjali Yeole
Author: Vinayak Sharma
Paper ID: V4I1-1355
Paper Status: published
Published: February 12, 2018
To Study Impact of Demonetization on Finance with Reference to Gross Domestic Product (GDP)
The research encompasses all impacts of demonetization in Indian economy. Primary emphasis is drawn upon the economic instability of India during the demonetization. It also shows how the key factors were affected during this critical phase. Core highlights of research are to check the volatility of GDP rate as well as the impact on finance sector in Indian economy. It is imperative to evaluate the short run and medium-term impacts that such a shock is expected to have on the economy. Further, the impact of such a move would vary depending on the extent to which the government decides to remonetize.
Published by: Patil Sahil Sharad
Author: Patil Sahil Sharad
Paper ID: V4I1-1336
Paper Status: published
Published: February 12, 2018
Impact of Organizational Climate on Transport Undertakings: A Case Study of Himachal Pradesh
Organizational Climate within an organization refers to how work environments are perceived and interpreted by employees working in the organizations. Organizational climate plays a vital role in deciding the effectiveness of performance. Organizational climate has its major impact on the performance of the workforce which is determined by the level of its satisfaction and motivation. The study addresses the prevailing organizational climate of transport undertakings in all districts of Himachal Pradesh. The information required for the study has been collected from both the primary and the secondary sources. A multistage random sampling method has been followed. The result of the study revealed that organizational climate has a direct influence on the perception of employees of both transport undertakings.
Published by: Gaurav Sharma, Prof. O. P. Verma
Author: Gaurav Sharma
Paper ID: V4I1-1356
Paper Status: published
Published: February 12, 2018
Research on Machine Learning
In machine learning, a computer first learns to perform a task by studying a training set of examples. The computer then performs the same task with data it hasn't encountered before. This article presents a brief overview of machine-learning technologies. The article below contains an introduction to the machine learning, the difference between machine learning and artificial intelligence and also seven steps of machine learning to better understand on how the machine learning works.
Published by: Amulya Ramesh
Author: Amulya Ramesh
Paper ID: V4I1-1302
Paper Status: published
Published: February 12, 2018
IOT Based Smart Car Parking System for Smart Cities
In recent times the concept of smart cities has become very popular. Thanks to the Internet of things the idea of the smart city now seems to be completed. Consistent efforts are being made in the field of IoT in order to maximize the productivity and reliability of urban infrastructure. Problems such as traffic congestion, limited car parking facilities, and road safety are being addressed by IoT. In this paper, we present an IoT based cloud integrated smart parking system. The proposed Smart Parking system consists of an on-site deployment of an IoT module that is used to monitor and signalize the state of availability of each single parking space. A mobile application is also provided that allows an end user to check the availability of parking space and book a parking slot accordingly. The paper also describes a high-level view of the system architecture.
Published by: Nazish Fatima, Akshaya Natkar, Pratiksha Jagtap, Snehal Tukaram Choudhari
Author: Nazish Fatima
Paper ID: V4I1-1332
Paper Status: published
Published: February 10, 2018
Design of Heat Recovery System in a Sheet Rock Plant
This report is about the design of heat recovery system in a sheet rock plant. A sheet rock is basically a gypsum board which is mainly used as a finish for walls, ceilings in households and commercial buildings. According to the given problem, during summer months the city water supplies to the manufacturing plant at a higher temperature of 900 F but during other months the temperature of water supply as 450 F. The de mand of water temperature is 85o F for the process so the city water is heated by natural gas burners when it’s in a storage tank. During the final stage of sheet rock production, heated air is used in a closed oven with sheet rock for the drying process. The air gets exhausted from aluminum stacks. This waste heat energy is being recovered it in the form of energy with the help of specially selected heat exchanger. The energy recovered will be minimising the need of natural gas burner which is to heat the city water receiving at a temperature of 450 F. This would reduce the need of natural gas to use as the main source of heating the city water for production of sheet rock. The heat recovery system would be compatible to work for 24 hr in a 6 days week frame till 8 months. The report will include the type of heat exchanger selected, pump for heat recovery and piping system with fittings and be routing for heat recovery. This would also include the cost involved in the whole additional process as installation, operational and maintenance cost with a calculated payback period of time for investment.
Published by: Abhishek Chaturvedi
Author: Abhishek Chaturvedi
Paper ID: V4I1-1222
Paper Status: published
Published: February 10, 2018
