Enhancement on Vehicle Speed Detection System for Avoidance of Accident
This paper presents an arrangement to detect reckless driving or over speeding on highways and by design send tickets to violators over email. In the past, many devices have been proposed but they require human effort. There are no means of control or monitor speed of the vehicles except the use of traffic policemen. Given the huge mileage of driveways, the number of traffic policemen is far from enough to observe and analyze most drivers. The proposed model is advantageous as there will not be any need of traffic policemen and will accurately detect speed rather than maintaining trust in the eye. This paper discusses the hardware as well as the software modules involved in the speed detection system. The system requires a microprocessor, a camera for input, and network capabilities to send data. It includes some reflections on the evolution of this methodology and different design decisions and their impact on the system.
Published by: Abhrajit Chattopadhyay, Gunda Ravichandra, Vivek, Sudhanshu Solanki, P Suganya
Author: Abhrajit Chattopadhyay
Paper ID: V4I2-1436
Paper Status: published
Published: March 28, 2018
Green Communications and Energy Efficiency
With the advancement of technology, there is a considerable increase in the usage of mobile phones and other telecommunication devices. Today we are in the development phase of building a Smart City. People want the technology to develop further because it has influenced their living. It is very difficult for a person to survive without using a mobile phone. In the earlier days, people used pigeons for communication. With the increase in technology many environmental problems arise because they consume power. CO2 emission has increased drastically during the last few years. CO2 emission leads to greenhouse effect which further leads to global warming. Energy efficient network technologies have to be developed which consume less power and produce a better Quality of Service (QoS). Renewable sources of energy can be used for power generation and the power generated can be effectively used by the base stations only during the active hours of the day. [1] Green communications should be implemented for the development of “An Eco-friendly Smart City”.
Published by: K Vishrutha, G Janvi Sruthi, G Vedavasu, T Yeswanth Reddy, K Manikandan
Author: K Vishrutha
Paper ID: V4I2-1461
Paper Status: published
Published: March 28, 2018
Automatic Sag and Swell Detection and Changeover for Clean Power
Phenomenon of voltage sag and swell happen directly from utility side or at customer side because of operation of certain types of equipment. Mitigation of such phenomenon is important as many of the equipments are sensitive to such conditions and may undergo irreversible damage. In recent years many novel systems for voltage sag and swell detection have been proposed albeit most of them targeted towards utility side voltage sag and swell detection and mitigation. Our present project is an attempt to develop customer side voltage sag and swell detection system based on embedded system. Again facility for automatic changeover of power source is considered to facilitate supply of clean power as long as the phenomenon exits. Hereby we present the concept, design and field results of our attempt.
Published by: Indrajeet Jadhav, Amol Thorat, Kamble A. A, Agane A. A
Author: Indrajeet Jadhav
Paper ID: V4I2-1350
Paper Status: published
Published: March 28, 2018
Public Integrity Auditing with Multi user Modifications
Cloud Computing has visualized as the next-generation architecture of IT Enterprise.A cloud storage system, consisting of a collection of storage servers, provides long time storage services over the internet.Storing data in third party’s cloud system causes serious concern over the data secrecy.In, this paper our main aim is, we allow the third party auditor on behalf of the cloud client, to verify the integrity of dynamic data that is stored in the cloud.The most general forms of data dynamic are modifications, insertion, and deletion.To, give them more efficient in handling the multi-users the ring signature is used by the privacy-preserving mechanism.When the data is stored in the cloud it has an only certain time limit to be present in cloud storage to overcome this time limit process we use hashing technique, this makes the data to be stored in a long period of time, by key generation process.And, also we use MD5algorithm for uploading the data and encrypted in hexadecimal form.
Published by: Kolachina. Amrutha, Dr. Prayala Shyry
Author: Kolachina. Amrutha
Paper ID: V4I2-1298
Paper Status: published
Published: March 28, 2018
Stock Price Prediction using Artificial Neural Network
Stock market prediction is the art of determining the future value of a company stocks. This paper proposes a machine learning (ANN) artificial neural network model to predict stock market price. The proposed algorithm integrates the backpropagation algorithm. The backpropagation algorithm is employed here to training our ANN network model. And in this paper, we have done a research on the TESLA dataset.
Published by: Omprakash Barapatre, Eric Tete, Chandan Lal Sahu, Domesh Kumar, Hira Kshatriya
Author: Omprakash Barapatre
Paper ID: V4I2-1431
Paper Status: published
Published: March 28, 2018
Human Health Analysis
The main aim of the project is to give a profound examination on the exploration field of healthcare data analytics and also featuring some of rules and holes in past investigations. This investigation has concentrated on seeking significant papers about healthcare analytics. The paper has recorded a few data analytics instruments and procedures that have been utilized to enhance healthcare execution in numerous zones, such as medical operation, reports, decision making, prediction, and prevention system. The health data are obtained from the patients using web forms and the data collected are converted into an excel file which is encrypted and stored in the cloud. From the excel file, the input is given to R programming studio for data analysis. In R programming clustering and classification are processed to define the normal or abnormal conditions. For clustering, we used k-means algorithm and for classification, we used naive Bayes algorithm. Finally, the output is shown using Shinyapps.io web services
Published by: Deepesh S
Author: Deepesh S
Paper ID: V4I2-1466
Paper Status: published
Published: March 28, 2018
