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An automated examination system using cloud computing technology

Traditional Exam cell activity mostly includes a lot of manual paper work. The aim of the project is to build a centralized system so that all the examination activities can be done effectively and efficiently for both students and staff. The final system would constitute a computerized module aimed at replicating offline exam cell process. The system is a new concept which came into existence because of a large amount of data being on paper. The automated system for exam cell department will benefit both the students as well as exam cell department staff to easily handle the entire task related to exam cell in contrast to the existing manual system. This system will make the procedure of exam cell in an organized manner. Using this, paperwork and confusions can be reduced and the rate of work done can be increased. All the activities such as Exam form filling, ATKT form filling, photocopy and revaluation form filling, Form filling for RLE, Form LOR, MOI, Name Correction form etc. can be executed properly and easily using this automated system. With the help of this system, students can submit their forms online and will have no need to stand in a long queue waiting to submit their forms. The admin can also generate the Transcripts and Letter of Recommendation, and can also verify, confirm the photocopy and revaluation of each applied student by using the CLOUD COMPUTING Technology.

Published by: Priti Mishra, Muhib Lambay, Namrata Kadam, Pooja Tiwari, Krinjal Kadu

Author: Priti Mishra

Paper ID: V4I2-2116

Paper Status: published

Published: April 24, 2018

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Research Paper

Accident avoidance using autonomous emergency breaking system and drowsiness detection

This an approach for detecting eye blink of a person and autonomous breaking system for accident avoidance. Our proposal consists of two stages, the first stage is to detect eye blink of a driver driving a car. The next stage is to avoid the accident by giving an indication that some object is coming from either side. We are using IR sensors, Arduino and ultrasonic sensors for eye blink and accident avoidance respectively. Driver fatigue is one of the major causes of accidents in the world. Detecting the drowsiness of the driver is one of the surest ways of measuring driver fatigue. In this project, we aim to develop a prototype drowsiness detection.  

Published by: Mayur Sorte, Tanmai Patil, Ramesh Chaudhary, Raviraj Patil, Rajesh Khotre

Author: Mayur Sorte

Paper ID: V4I2-2096

Paper Status: published

Published: April 24, 2018

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Research Paper

Engine performance and exhaust emission study on blends of biodiesel and petrodiesel

Presently diesel generation against consumption is seen as the problem for future. Therefore the alternative is required to be found out. Biodiesel is found the potential resource as an alternative to diesel. The present automobile industry which uses 100% diesel is to be replaced by the blend of diesel & biodiesel. The various biodiesel blends study is carried out & particularly for Palm-based biodiesel blends with petrodiesel is considered for the study. The present work is to study the engine performance & exhaust emission for optimum blend ratio of above-mentioned biodiesel petrodiesel blends. The experiments will be carried out & the result will be shown. The pure petrodiesel (100%) and blend ratio of 5%, 10%, 15%, 20%, 25%, 30%and 35% will be taken for experiment. The literature says that the optimum blend ratio for biodiesel and petrodiesel is around 20%. The exhaust emission will also be studied. Care is taken during work, the existing engine should work with the suggested blend ratio and should give good engine performance and the exhaust emission should be minimum or within a tolerable limit.

Published by: Patel Shyamesha Ashwin, Satish R. Shah

Author: Patel Shyamesha Ashwin

Paper ID: V4I2-2097

Paper Status: published

Published: April 24, 2018

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Research Paper

To study the effects of manual hyperinflation and tracheal suctioning in mechanically ventilated patients with ventilator-associated pneumonia as compared to tracheal suction alone on static lung compliance (CL) and inspiratory airway resistance

Ventilator-associated pneumonia results from bacterial colonization of the aerodigestive tract or aspiration of contaminated secretions into the lower airways. As a consequence of infection of the lung parenchyma and alveolitis, accumulation of inflammatory exudates and infiltration of airway mucosa can lead to unfavorable respiratory mechanics in ventilator-associated pneumonia. Tracheal suction is often employed by Physiotherapists in the management of mechanically ventilated patients with ventilator-associated pneumonia but this technique has the potential to increase respiratory resistance. Manual hyperinflation is used by physiotherapists to improve lung volume and mobilise secretions and has been shown to increase lung compliance. Aims and Objectives: To demonstrate an additional mechanical benefit to the respiratory system when manual hyperinflation and suction techniques are combined, by comparing the application of manual hyperinflation and suction with suction alone on static lung compliance (CL) and Inspiratory resistance (RAW) in mechanically ventilated patients with ventilator-associated pneumonia. Study Design: Thirty patients with ventilator-associated pneumonia were recruited and a Crossover study with Randomisation of sequences was done. Manual hyperinflation followed by suction (manual hyperinflation plus suction) and suction alone were applied consecutively, in random order, on two occasions, four hours apart. Respiratory variables, CL and RAW, were measured five times and the averaged value documented. Data were recorded before, immediately after, and 30 minutes after each intervention protocol. Results: CL increased by 4% and RAW decreased by 10%, up to 30 minutes after Manual hyperinflation plus suction, but not after suction alone. Conclusion: This study suggests that manual hyperinflation in conjunction with suction induces beneficial changes in respiratory mechanics in mechanically ventilated patients with ventilator-associated pneumonia.

Published by: Dr. Shiril Nagarkar, Dr. Varsha Nagarkar

Author: Dr. Shiril Nagarkar

Paper ID: V4I2-2103

Paper Status: published

Published: April 23, 2018

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Research Paper

Modified RSA algorithm with bit stuffing to enhance DNS security

We use the Internet every day. The Internet relies on its very foundations on DNS, the Domain Name System. DNS continues to be a nice target for hackers. The possibilities a hacker can expect should he succeed in taking over a server or simply use DNS implementation to reorientate traffic, are some of the things which make DNS a source of security issues. In the last many years, several security flaws have been discovered in the protocol and its specific implementations. DNS spoofing one of the major threat to DNS Server. DNS cache poisoning, also known as DNS spoofing, is a type of attack that exploits vulnerabilities in the domain name system (DNS) to divert Internet traffic away from legitimate servers and towards fake ones. In our work, we have developed a robust algorithm that is combination of (RSA + bit stuffing), i.e. RSA accounts for legacy of user by providing the Digital signature, while bit stuffing is used digesting the message so that it remain confidential for the intruders, if any changes persist (violation of integrity) destination can’t decipher the message with the help of public key of sender. So this way we can provide more robustness for DNS.

Published by: Vikas, Amit Puri, Barjinder Singh

Author: Vikas

Paper ID: V4I2-2081

Paper Status: published

Published: April 23, 2018

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Review Paper

The growing menace of Cyber Crimes: An approach to tackle it

The world witnesses disruption of normal computer functions very often. These disruptions range from personal to business companies to government networks. In this research paper, an attempt has been made to discuss the problems arising out of various forms of cyber crimes, their definition, present laws about cyber crimes and the methodology adopted by cybercriminals. This paper shall also analyze growing use of technology in identity theft, hacking and its use by terrorist organizations. Statistical data is presented to explain how cyber crimes have increased over time and their cost implications. The purpose of this study is also to make the reader aware as to where we stand today in our fight against cybercriminals, what are the future trends and the commitment of various countries of the world for cybersecurity. Since it is being widely accepted that physical devices and human intervention have not proved to be sufficient for protecting cyberinfrastructure, there is a need for more sophisticated cyber defense system which is also robust and flexible. Computing methods using Artificial Intelligence tools have begun to play an important role in cybercrime detection and prevention and their application can be further extended to assist human intelligence in the fight against cyber crimes. This study shall evaluate the progress made till now in the fight against cyber crimes and discuss which Artificial Intelligence tools can be made use of in the fight against this menace.

Published by: Aniket Kumar Gupta, Dr. A. Prabaharan

Author: Aniket Kumar Gupta

Paper ID: V4I2-2042

Paper Status: published

Published: April 23, 2018

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