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Research Paper

Detection of illegally parked vehicle

Detecting an illegally parked vehicle aims to prevent car crashing between parked and other vehicles. The main objective of this paper is to identify the unauthorized parker who was parked in the private property and notify those owners. Here in this radio detection and ranging (RADAR) systems electromagnetic waves can recognize the speed, range, altitude or direction of objects, either fixed or in motion. This system consists of Arduino microcontroller, ultra-sonic sensor, servo motor, and some java applications to map the electromagnetic waves. This system can be built by connecting the ultrasonic sensors to the Arduino microcontroller’s input/output pins and servo motor is also connected to the Arduino microcontroller pins. Then both ultrasonic sensor and servo motor are clipped over the Arduino microcontroller together so that servo motor can rotate from right to left through an angle of 180. This experiment results show that the proposed framework is efficient and robust to detect an illegally parked vehicle.

Published by: Rishu Suman, Prashant Kumar, Rohit Kumar, Swetha T.

Author: Rishu Suman

Paper ID: V5I3-1163

Paper Status: published

Published: May 3, 2019

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Others

Data efficient approaches on deep action recognition in videos

This Method goes for one recently bringing assignment up in a vision and mixed media look into perceiving human activities from still pictures. Its principal challenges lie in the substantial varieties in human stances and appearances, just as the absence of worldly movement data. Tending to these issues, we propose to build up an expressive profound model to normally incorporate human format and encompassing settings for more elevated amount activity understanding from still pictures. Specifically, a Deep Belief Net is prepared to intertwine data from various boisterous sources, for example, body part recognition and item identification. To connect the semantic hole, we utilized physically marked information to significantly improve the strength of the pre-preparing and adjusting phases of the DBN preparing. The subsequent system is appeared to be vigorous to here and there inconsistent sources of info (e.g., loose location of human parts and questions), and beats the best in class approaches.

Published by: K. C. Mithil Teja, Sharmila Agnil, R. Bhargava Ramakrishna, T. Tharunkumar Reddy, A. Harsha Kiran

Author: K. C. Mithil Teja

Paper ID: V5I3-1159

Paper Status: published

Published: May 3, 2019

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Research Paper

Peer-to-peer E-transaction system using blockchain

We create a simple transaction system with Blockchain as the backbone, while making use of Solidity, Node.js, Python and the Kubernetes framework. The resulting system is capable of mining currency, creating wallets and making transactions.

Published by: Abhishek Sundaresan R., Govind K. Rajesh

Author: Abhishek Sundaresan R.

Paper ID: V5I3-1146

Paper Status: published

Published: May 3, 2019

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Research Paper

Smart trash bin for waste management using odor sensor based on IoT technology

IoT is transforming cities in a tremendous way. Efforts are made for having smarter ways of city waste management. Waste management always finds difficulty in knowing when to collect waste. If the vehicle comes to collect too early it would lead to unnecessary trips. And when comes to collect too late will result in an overflow of waste. Even though the level is moderate the odor produced by the waste can cause air pollution. These problems stated can be resolved using IoT technology used by this project. An app is designed to monitor the levels which the user can view. The workers need not want to approach the bin to know whether a waste is ready to be removed. Also, it is used to monitor whether the bin is not full and if not checks the smell of waste and then the bin can be removed.

Published by: Steffy Thankam Wilson, Tophia K. Sebastine, Merin Daniel, Vineeth Martin, Neenu R.

Author: Steffy Thankam Wilson

Paper ID: V5I2-2120

Paper Status: published

Published: May 3, 2019

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Research Paper

IoT based bridge monitoring system

A bridge monitoring system is significant to the structural health monitoring of both old/new bridges and flyovers an infrastructure daily used by citizens of their respective countries. The following report is proposed and developed as architecture for bridge monitoring on a more secure level taking into consideration the various parameters that are involved in the structural health of bridges. A 3-level distributed structure is adopted in the monitoring system, which includes a central server, intelligent acquisition node, and local controller. Acquisition nodes are located across the bridge. One local controller manages all the acquisition nodes. Every acquisition node has 8 channels, which can easily and approximately sample the deviation of the line of sight, the vibration of the bridge due to a load of various transports and as well the water level which when cross a threshold lead to a flood. To get high precision data, a 10 bits A/D converter is being used. Compared to the traditional method, the proposed architecture has two features. The acquisition node is a smart device based on a powerful controller. Signals of field sensors are analyzed and real-time compressed in the acquisition node. Only the processing results are sent to the local controller through the IEEE 802.11 wireless network. This operation can relieve the load of a central server. The intelligent monitoring system has run on a large span bridge. Running results show that the proposed system is stable and effective.

Published by: Divya Muddala, Dhanashree Kamble, Pooja Nimbalkar, Ravina Patil, Sathish K. Penchala

Author: Divya Muddala

Paper ID: V5I2-2111

Paper Status: published

Published: May 3, 2019

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Research Paper

Automated detection of diabetic retinopathy using retinal images

Automatic telemedicine framework for PC helped identification and order of diabetic retinopathy rely upon discovery of retinal sores in fundus pictures amid this paper, a totally exceptional method for programmed location of each small scale aneurysms and hemorrhages in shading fundus pictures is portrayed and substantial. The most commitment is another arrangement of structure alternatives, known as Dynamic structure choices, that don't require exact division of the locales to be ordered. These alternatives speak to the advancement of the structure amid picture flooding and grant to segregate among sores and nerve fragments. The technique is legitimate per-vessels and per pictures utilizing six databases, four of that territory unit in open advertised. It ends up being solid with significance inconstancy in picture goals of the retina, procurement framework. For the Retinopathy Challenge's information in on the web, the technique accomplishes a Free Response beneficiary Operating Characteristics score of 0.420 that positions fourth. Furthermore, for Messidor's data, when identifying pictures of the retina with diabetics, the arranged strategy accomplishes an area beneath the legendary beast bend of zero.899, love the score of human specialists, and it beats dynamic methodologies.

Published by: Mundra Charan Sai, V. S. K. Praveen, V. Teja Reddy, B.S Vidhya Sagar

Author: Mundra Charan Sai

Paper ID: V5I3-1155

Paper Status: published

Published: May 2, 2019

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