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Research Paper

Prosthetic hand movement using artificial neural network

Artificial neural networks (ANNs) were used to classify EMG signals from an arm. Using an amplifier card from the Smart Hand project or prosthetic hand, 16-channel EMG signals were collected from the patients arm and Filtered. After time-domain feature extraction, simple back-propagation training was used to train the networks. During the training, the patient moved his Fingers according to a predefined pattern. After the training, the patient could move an artificial hand by duplicating the movements made during training. Artificial hands are nothing new. One of the earliest mentions is of a Roman general that fought with an iron arm back around the year 50 AD and many of researchers have done on this project. Hopefully, this work will show that this approach to the problem of controlling hand prosthesis is viable and that it has benefits over other methods previously used.

Published by: Akansh Sharma, Pradeep Tripathi

Author: Akansh Sharma

Paper ID: V4I2-2003

Paper Status: published

Published: April 24, 2018

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Research Article

The optimum location of the shear wall in irregular plan multi-storey RC frame structure under lateral loads

Shear wall is the structural elements which are commonly used to resist lateral load in multi-story RC frame structure. Shear walls have terribly high in-plane strength and stiffness, which resist horizontal loads due to earthquake and wind and support vertical loads simultaneously, creating them quite advantageous in several structural engineering applications. The scope of present work is to determine the optimum position of the shear wall in plan irregular multi-Storey RC frame structure. Effectiveness and efficient of RC walls are investigated by the used of four different models, whereas model A is without shear wall structural system and other are different arrangements of the shear wall. A G+19 storey RC frame structure situated in zone V, soil type is medium and applied seismic load and wind load as per IS Code. Response spectrum method is used to analysis in ETABS 16.1.0 software and determines some paraOptimum location of the shear wall in irregular plan multi-storey RC frame structure under lateral load meter like base shear, storey drift and Storey displacement of a structure.

Published by: Prem Shankar Singh, Jay Kumar Sah, Chinmay Kumar Kundu

Author: Prem Shankar Singh

Paper ID: V4I2-2059

Paper Status: published

Published: April 24, 2018

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Research Paper

Appraisal of present commodity markets in Indian agriculture and ways to make markets better for present-day operations

India is predominantly agriculture orients economy more than 70% of people depend on agriculture as the primary occupation it is the major employer and determines the health of economy and development and growth of an economy. this sector is affected by many problems like lack of financial facilities and other infrastructural issues, the structure of Indian agriculture has made it venerable to price challenges , farmers are not able to get better price for their produce vowing to market inefficiencies and regulatory problems and other deficiencies , Hence to strengthen the price discovery mechanism in order to get better price for the agricultural products and to foster development of the sector ,to impact the life of people depended on the agriculture in a country which has remained one of the largest producers in world most of the commodities since time immemorial there is an urgent need to safe guard interest of various stake holders by providing them adequate hedging facilities through development of commodity derivatives

Published by: Sathisha H K

Author: Sathisha H K

Paper ID: V4I2-2063

Paper Status: published

Published: April 24, 2018

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Research Paper

Channel estimation in MIMO-OFDM using blind adaptive technique

A new blind channel estimation scheme for orthogonal frequency division multiplexing systems is proposed based on the maximum likelihood principle. In the Blind channel estimation scheme, the blind channel estimator is proposed based on the noise subspace method and establishes conditions for blind channel estimation in spatially multiplexed MIMO-OFDM systems. A novel approach is also proposed for resolving the phase ambiguity of the blind channel estimate without the need for any reference symbols. Simulations were performed for mobile radio environments with high Doppler frequencies and short-to-medium delay spreads. The achieved performance is comparable to that of pilot-based channel estimation for the case of QPSK-modulation

Published by: Chandaka Yuva Lalitha, Moyyi Padmalatha, Pabbisetty Mukesh Sai, Sigatapu Vamsi Krishna, Myla Sai Sandesh, G. S. B. Raghavendra

Author: Chandaka Yuva Lalitha

Paper ID: V4I2-2090

Paper Status: published

Published: April 24, 2018

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Review Paper

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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