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Recent Papers

Smart Attendance Management and Analysis with Signature Verification

The main Aim of this project is to make Smart Attendance Management and Analysis System where after getting individual's signature of the student , the signature is scanned and converted into an image file. After segmentation, features are extracted by Contourlet transform and Moment Invariants from the signature. Verification of signature is made with the Database of student’s Signature and Excel sheet of absence and presence of student's attendance is generated.

Published by: Chauhan Hardika, Dr. Nehal Chitaliya

Author: Chauhan Hardika

Paper ID: V3I3-1150

Paper Status: published

Published: May 10, 2017

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Clinical importance of chlorophytum borivilianum in oligospermia

White Musli is a aphrodisiac drug . It have an natural biological environmental effect on neuro hormonal sexual axis.It maintains the equilibrium in mind and body.It reduces the sexual harassments like libido, impotency, infertility, and oligospermia.It increases sexual disireness , reduces fatigueness, maintains sexual satisfaction level, reduces the early ejaculation, increases sperm maturity, increases sperm number, increases sperm activity, reduces the oligospermia and infertility. It maintains the mental and physical equilibrium by homeostasis of blood include the regulation of temperature and the balance between acidity and alkalinity i.e ph balance of the body.

Published by: Dr. Dipak Swain, Dr. Vivek Mahalwar, Dr. K B Mahapatra, Dr. A. K. Das

Author: Dr. Dipak Swain

Paper ID: V3I3-1245

Paper Status: published

Published: May 8, 2017

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Research Paper

Unsupervised Method for Face Photo – Sketch Synthesis and Recognition

Today face recognition is a very important field in biometric identification. Face sketch recognition is one of the special type face recognition. In this paper, presents an unsupervised method for face photo- sketch recognition. The face photo- sketch synthesis has two main steps. One is edge detection for only recognition of face and secondly is for hair detection. In the recognition step, the artist sketch is compared with the generated sketch. PCA and LDA are used to extract features from the sketch images. The k-nearest neighbor classifier with Euclidean distance is used in the classification step. It has a useful application for digital entertainment and law enforcement.

Published by: Seena Jose, Prof. Shivapanchashari

Author: Seena Jose

Paper ID: V3I3-1177

Paper Status: published

Published: May 4, 2017

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A Smart Phone Based Accident Fall Detection, Positioning and Rescue System

This paper proposes the architecture of accident fall detection, positioning and rescue system that uses 3G networks. To perceive the fall detection algorithm, the angles acquired by the electronic compass and the waveform sequence of the tri-axial accelerometer on the smart phone are used as the system inputs. The obtained signals are used to produce an ordered feature sequence and then tested in consecutive way by the proposed cascade classifier for identification purpose. As soon as equivalent characteristic is confirmed by the classifier at the current state, it can continue to the state; contrarily the system will come back to the initial state and halt for the emergence of another feature sequence. When a fall accident event is diagnosed the victim’s position can be acquired by global positioning system (GPS) and forwarded to the rescue centre via 3G network so that immediate medical help can be provided.With the proposed cascaded classification architecture, the computational burden and power consumption issue on the smart phone system can be mollified. Moreover, known fall incident detection accuracy and reliability up to 92% on the sensitivity and 99. 75% on the specificity.

Published by: Keerthana .B, Nikita Pandya, Pooja Joshi, Neha .N, Dr. S. Sathiyan

Author: Keerthana .B

Paper ID: V3I3-1186

Paper Status: published

Published: May 4, 2017

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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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