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Recent Papers

Traumatic Fibroma of the Upper Lip: Case Report of an Uncommon Presentation

Local reactive focal overgrowth is frequently found in the oral cavities. Different types of localized reactive lesions may occur on the gingiva, including focal fibrous hyperplasia, pyogenic granuloma, peripheral giant cell granuloma and peripheral ossifying fibroma (POF). The inflammatory hyperplastic lesion may be defined as “an increase in the size of an organ or tissue due to an increase in the number of constituent cells, as a local response of tissue to injury. Irritation fibroma clinically resembles as pyogenic granuloma, peripheral giant cell granuloma or odontogenic tumors, so radiographic and histopathological examination is essential for accurate diagnosis.

Published by: Dr. Monica

Author: Dr. Monica

Paper ID: V3I3-1165

Paper Status: published

Published: May 4, 2017

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Automatic Diagnosis of Epilepsy Using Electroencephalogram (EEG) Signal Analysis

Epilepsy is a very common neurological disorder. Electroencephalogram (EEG) is the major diagnostic tool used for analyzing the human epileptic seizure activity and there is a strong need of an efficient automatic seizure detection using it to ease the diagnosis. This work aims at an automatic system for diagnosis of epilepsy. Here we extract some features like fractal dimensions, sample entropy, Lyapunov exponent, etc of both normal and epileptic EEG signals. These feature values are used as inputs to train classifiers like Artificial neural networks, support vector machines, probabilistic neural networks etc., After the training, we test the classifier with test EEG data.

Published by: M. V Satya Sai Chandra, Dr. Paul K Joseph, Dr. Thasneem Fathima

Author: M. V Satya Sai Chandra

Paper ID: V3I3-1180

Paper Status: published

Published: May 4, 2017

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Indoor Localisation Using RSSI Technique

As positioning systems that can track and monitor moving objects/people become more widely used in our everyday life, we face the challenge of doing the same in places where such systems cannot be practically implemented. This is where the need for an alternate system arises. The main objective of the project is to provide a wireless means of tracking and monitoring objects/people in closed environments such as mines. There are two parts in this system- Transmitter which is a small portable device that can be carried around by the user inside the mines, and Receiver which is stationary, can be interfaced to a PC or remotely connected to PCs outside the mine through Internet of Things. Additionally, a climatology unit is kept at various points in the mines, to monitor the ambient parameters such as temperature, humidity, light intensity levels along with a safety sensor that detects vibrations caused by landslides or earthquakes. The receiver display shows the location of the moving object/person and the values of the ambient parameters. The tracking and monitoring is done by using RSSI algorithm, that is implemented using Visual Basic software.

Published by: Ramya .B, Saranya .N, Jyotsna .M, Hardhika Mahavir, Senthil Kumar

Author: Ramya .B

Paper ID: V3I3-1178

Paper Status: published

Published: May 4, 2017

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Advanced Foot Step Power Generation Using Piezo-Electric Sensors

Day by day, the population of the country in-creased and the requirement of the power is also increased. At the same time the wastage of energy also increased in many ways. So reforming this energy back to usable form is the major concern. As technology is developed and the use of gadgets, electronic devices also increased. Power generation using conservative methods becoming deficient. There is a need arises for a different power generation method. At the same time the energy is wasted due to human locomotion. To overcome this problem, the energy wastage is converted to usable form using the piezoelectric sensor. This sensor converts the pressure on it to a voltage. By using this energy saving method, footstep power generation system we are generating power.

Published by: Anirudha Chavan, Shyam Lakhadive, Vaibhav Pondhe, Prof. Vineeta Philip

Author: Anirudha Chavan

Paper ID: V3I3-1172

Paper Status: published

Published: May 4, 2017

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Energy Efficient Electric Vehicle Using Regenerative Braking System

The Regenerative braking can improve energy usage efficiency and can also extend the driving distance of Electric Vehicles. This can improve the battery efficiency by 16-25%, depending on the speed and the motor size. Regenerative Braking power generation could provide a remarkable power source for vehicles. The power dissipated by the vehicles can be partially taken back for powering up for some of the utilities on board. In this paper, we have proposed a method where we can use rapid storage and acquiring technique using super capacitors and control mechanism. This project needs a motor to run the vehicle, relays to convert the reverse voltage into a usable voltage, ultracapacitors or supercapacitors to store the energy that is acquired.

Published by: N. Dheepika Lakshmi, D. Pooja Kanwar, Sandhyaa. R, S. Lakshmi Priya

Author: N. Dheepika Lakshmi

Paper ID: V3I3-1173

Paper Status: published

Published: May 4, 2017

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Implementation of Virtual Human for Military Application

With the advancement in technology we can control almost any gadgets or equipment’s with appropriate hardware and software. This paper deals with haptic technology to control the locomotion of the robot. Haptics is the concept used to interact with the virtual world by means of touch. Here we make use of MEMS (accelerometer) which relies on the same, for controlling various actions of the robot and thus increases the tele-presence. Robotics has been through a staple of advanced manufacturing for over half a century. Military field has a lot of challenging tasks under harsh environment but with the help of robots it can be tackled easily in such conditions. This System eliminates huge losses due to terrorism and antisocial elements which can save human life. The robot has the ability to move; shoot based on gesture commands and also detects the presence of human nearby. The hardware is divided into two major sections, the control room side and the mechanical model. Control room side consists of MEMS which receives the input co-ordinates from the hand gesture, and this processed information is transmitted to the robotic side which will be placed on the military arena. It is also enabled with an IR camera that acts as an eye for the robot.

Published by: Priyanka .C, Sanjana .S, Ramya P. S, Akilandeswari .M, Priya .G

Author: Priyanka .C

Paper ID: V3I3-1166

Paper Status: published

Published: May 4, 2017

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