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Research Paper

Self power generating electric bike

Now day’s bike or vehicle is very important our fast life for travelling and this is also play very important role in growth of economy but main drawback of this bike and vehicle is produce pollution in environment because of burning fuel. For this reason increases global warming and also storage of fuel is limited. Due to that now day’s need of eco-friendly technology for travelling .e-bike (electrical bicycle) this is nothing but one example of eco-friendly technology but this technology having some drawback to overcome the drawback of e-bike we have been design self-power generating electrical bike. This design overcomes all the drawback of e bike. Self-power generating electrical bike is nothing but e-bike that generate its own power supply by using some arrangement.

Published by: Mayur Balkrishna Patil, Suraj D. Patil, Rohit S. Sankpal, Adarsh P. Patil, Omkar A. Rajput, Suyog S. Shinde

Author: Mayur Balkrishna Patil

Paper ID: V6I3-1356

Paper Status: published

Published: June 10, 2020

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Review Paper

Design and analysis of single wheel hover-board

The ‘Single Wheel Hover-board’ is a personal electric vehicle running on a single wheel. The vehicle is powered by a battery source. The motor (DC 24V, 250W, High Torque) is in skew with the shaft of the wheel with the help of a chain drive, whose speed will be controlled by a custom-designed ‘Speed control’ circuit, capable for currents about 50A. The control of the motor direction is the posture of the persons driving it. Intelligent sensors like IMU, which houses accelerometer and gyroscope is used to monitor the posture of the person, and accordingly the processor signals the speed controller circuit. Additional features for the Hover-board includes the regenerative braking, inbuilt battery charging capability, battery level indicator.

Published by: Narendran S., Vishal Sampath, Akarsh N. P.

Author: Narendran S.

Paper ID: V6I3-1463

Paper Status: published

Published: June 8, 2020

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Review Paper

Basic design parameters for an intersection and design criteria for the unsignalised intersection at IET Crossing, Lucknow

Safety on road is nowadays one of the most important issues. As compared to other locations on the roads the higher traffic crashes are observed on the intersections. Keeping in mind the traffic situation in cities, the types of intersections and type of traffic, this design considers various basic design parameters,conflicts point, intersection design and safety are chosen. The site for design of intersection on National Highway near IET, Lucknow at crossing of NH28 Ayodhya Road to NH24 Sitapur Road and Jankipuram to Aliganj Road. The basis for design is manual counting of traffic volume at the site for peak hours of seven days On each road and the maximum value among these is used for designing the intersection. By using the data and IRC guidelines the type of intersection and other parameters are calculated.

Published by: Utkarsh Singh, Vaibhav Yadav, Utkarsh Kumar Mishra, Vartika Agarwal

Author: Utkarsh Singh

Paper ID: V6I3-1454

Paper Status: published

Published: June 8, 2020

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Review Paper

Management and utilization of Keratin Waste– A review

Keratin is a major complex structural protein present in hair, wool, home, hoops, feathers and nails of animals. It is considered as an environmental pollutant because of its slow degradation and produced mostly at both domestic and industrial levels. So beneficial utilisation and management go these keratin based waste has a significant importance. Out of many traditional and new approaches to breakdown keratin, the use of natural soil keratinophilic microbes is widely studied because of nontoxic and useful byproducts produced. These keratin based products have a widespread application in medical, animal feed, fertiliser, biomedical uses and many other type of industries. In the present review various strategies for hydrolysis of keratin from the organic waste have been described and use of natural keratin in different industries have also been explored.

Published by: Sruthi Menon, Bhairavi Savur, Deepakshi Kasat, Urja Mavani, Shailja Singh, Mayuri Rane

Author: Sruthi Menon

Paper ID: V6I3-1446

Paper Status: published

Published: June 6, 2020

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Research Paper

Surgical site infections in a tertiary care center in Rajasthan

Surgical site infections are the 3rd most common nosocomial infections in a hospital setting. It is a menace to both patients and surgeons, as it accounts for 1-3% of all surgical procedures, decreasing the success rate of surgeries. The study was conducted on 90 consecutive patients of Surgical site infection occurring after various surgical procedures within the same surgical team in the National Institute of Medical Sciences and Research, Jaipur, from 1st January 2018 till 30th June 2019. The objectives of this study were to assess the etiological factors of surgical site infection, the relationship of these factors with the type of surgical site infection, and to isolate the bacteria and the choice of antibiotic therapy suited for such patients. The rate of surgical site infections in our study was 6.99%. This value is relatively low when considering that the majority of the patients that were taken for surgery were in an emergency condition. A relationship was seen between co-morbidities in the form of diabetes mellitus, immunosuppressed patients, and patients who smoke, as all of them made up the majority of the patients who developed surgical site infection. As per treatment modalities, patients who had drains placed intra-operatively made up a larger majority of the total patients who had developed surgical site infections compared to those patients who did not have a drain placed. The most common bacteria isolated was Staphylococcus aureus which showed high sensitivity to piperacillin, vancomycin, linezolid, and amikacin.

Published by: Dr. Sankalp Goel, Dr. N. S. Shekhawat

Author: Dr. Sankalp Goel

Paper ID: V6I3-1435

Paper Status: published

Published: June 6, 2020

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Research Paper

Duration of an actor in a video using Keras

This research is mainly based on automating the process of calculating the time taken for any actor to appear on the screen. It is one of the main factors for determining the remuneration to be given to actors for appearing on the screen for a particular time period. By automating this process, we can accurately determine the screen time of an actor with minimum error. This proposed idea can be implemented using the knowledge related to image processing with the help of CNN architecture. The major part of the research lies in determining the hyperparameters and the right model that fits the given video appropriately and gives the best results for the model evaluation. The major findings of this paper lie on analyzing the right activation function, the number of layers for the neural network, finding the drop-out rate for the trained neural network, deciding upon the weight sharing of the input attributes, and of the hidden layers. The final outcome of this performed experiment is a neural network that can be used for deciding the duration of an actor on the screen.

Published by: Puja Kedia, Saurabh Singh, Lakshmi Saai Rasazna Konagalla, Shantha H. Biradar

Author: Puja Kedia

Paper ID: V6I3-1425

Paper Status: published

Published: June 6, 2020

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