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Review Paper

Survey on encryption approaches using information fusion with biometrics

This comprehensive survey, tried to mention two encryption approaches to make an access key which can be utilized inside the field of computer security, and which can ensure an abnormal state of mystery, as well as, with an abnormal state of sureness, give a personal identity through Information Fusion (IF) methods. In particular, two non-associated zones have been joined, Biometrics and Public-key Cryptography. This decision was taken with a specific end goal to traverse the limits these two methodologies have discovered uniquely. In this review analysis, two algorithms Face Information Fusion and Biometric and Numerical Information Fusion.

Published by: Kavya R

Author: Kavya R

Paper ID: V4I2-1505

Paper Status: published

Published: March 30, 2018

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Research Paper

Reconfigurable microstrip patch antenna in frequency and polarization

In this paper, RMPA in frequency and polarization is designed and diodes are proposed to be used as a switch to change the structure of the antenna. Thus by switching diodes ON and OFF the antenna is reconfigured to different frequencies with linear and Circular polarization. The use of circularly polarized antennas presents an attractive solution to achieve this Polarization match which allows for more flexibility in the angle between transmitting and receiving antennas. It reduces the effect of multipath reflections, enhances weather penetration and allows for any orientation to the communication system. The antenna is simulated at 2.4 GHz and 2.2 GHz using HFSS simulation software. The parameters of the antenna such as Reflection coefficient, VSWR, Bandwidth, Axial Ratio, the Radiation pattern is measured with and without diodes and results are analyzed using Network Analyzer. The main focus of this paper is to attain reconfigurability so that this microstrip patch antenna is used for Bluetooth, WLAN, WiMAX and Advanced Wireless Service(AWS) applications  

Published by: Raveena Ingale, Tanaya Sakat, Radha Joshi, Shahadev Hake

Author: Raveena Ingale

Paper ID: V4I2-1511

Paper Status: published

Published: March 30, 2018

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Research Paper

Distracted driver detection using convolutional neural network

In order to help in reducing possible accidents caused due to a distraction while driving. A model is proposed based on the convolution neural network. The Convolution Neural Network is commonly used the model in deep learning. Among various types of networks, convolution neural network resulted in high performance on image classification. Here we build and train the model with a dataset of dashboard camera images of a driver, which detects the pre-defined set of actions of the driver engaging in an unsound behavior. And provides the suitable notification indicating the driver of his/her hindrance.  

Published by: Syed Thoufich, Nikhil V Anand, Rajaganapathi S, Roopesh Kumar B N

Author: Syed Thoufich

Paper ID: V4I2-1516

Paper Status: published

Published: March 30, 2018

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Research Paper

Amelioration of Streptozotocin Induced Diabetes Mellitus and Lipid Profile in Rats by Mukia Maderaspatana Linn

Diabetes is a condition primarily defined by the level of hyperglycemia giving rise to a risk of microvascular damage (retinopathy, nephropathy, and neuropathy).Over 400 traditional plant treatments for diabetes have been reported, although only a small number of these have received the scientific and medical evaluation to assess their efficacy. The World Health Organization Expert Committee on diabetes has recommended that traditional medicinal herbs be further investigated. In the Indian system of medicine, Mukia maderaspatana Linn was used for different pharmacological activities. But the pharmacological and scientific evidence for its antidiabetic effect is yet to be proved. So, based on above fact it can be evaluated for antidiabetic and antioxidant property in streptozotocin (STZ) induced diabetic rats for 21 days. Diabetes was induced using streptozotocin (50 mg/kg i.p) and after the induction of diabetes the animals were given with MEE (100 mg/kg, 200 mg/kg), MCF (100 mg/kg) and MBF (100 mg/kg) orally for 21 days. Blood glucose levels were determined by using a GOD-POD method with diagnostic kits. After 21 days the parameters like HDL, LDL, VLDL, TC, TG, Albumin, Creatinine, total protein and glucose were estimated. The treatment with the extracts and fractions of Mukia maderaspatana Linn improved the lipid level and lipoprotein level to a normal condition which may be attributed to its potent antidiabetic activity.

Published by: A V S Ravi Sai Nadh, P Rajeswara Rao, A Prameela Rani

Author: A V S Ravi Sai Nadh

Paper ID: V4I2-1513

Paper Status: published

Published: March 30, 2018

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Research Paper

Key – Aggregate searchable encryption

The capability of sharing encrypted data with unlike users via public cloud storage may greatly ease security concerns over accidental data leaks in the cloud. Hence there is a need for efficient management of encryption keys. In this group of selected documents need to be shared with any group of different user’s desire by right different encryption keys to be used for different documents. However need of producing a complex number of keys for both processes i.e. encryption and search, and distributed to different users and those users will have to safely store the keys and put forward a complex number of keywords trapdoors to the clouds in order to search for data. However, because of large complexity, this way is unmanageable and almost practically not possible. In this paper, we are proposing the concept of Key- aggregate searchable encryption in which data owner needs to make distribution a single key to a user for having the same complex number of documents, and user needs to put forward a single trapdoor to the cloud for the query the Shared Documents. However, the complexity is reduced in relation to looking for of Documents in a separate part of the cloud.

Published by: Kiran Kawale, Ankita Angre, Pranita Shinde, Sumit Sakpal, Kishor Sakure

Author: Kiran Kawale

Paper ID: V4I2-1485

Paper Status: published

Published: March 30, 2018

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Research Paper

Multiple Fault Detection System in Transmission and Distribution

Transmission and distribution companies normally measure their achievements by using various types of qualitative and quantitative assignments. They measure achievement of their objectives through monitoring a number of performance indicators. These indicators are known as Key Performance Indicators (KPIs).The proposed IOT based KPI will have complete details about grid, master-feeder station and feeder stations. The proposed research will reduce losses which are not covered by present systems. The proposed system works at very higher speed on getting the real-time data to the control room.

Published by: Sri Ram Ganesh, Rakhi Jain, Khushboo Singh, Shruthy Raghavan, Sneha Kumari

Author: Sri Ram Ganesh

Paper ID: V4I2-1462

Paper Status: published

Published: March 30, 2018

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