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Research Paper

Smart restaurant system

The main aim of our project is to provide an AUTOMATION in the restaurants by replacing the TRADITIONAL RESTAURANTS in which the customers have to wait for a longer time to give their orders to the waiters and there may also be a mistake while taking and delivering food items to the customers. There is also a lot of work on waiters when massive people are present in the restaurant, especially during festival occasions. If we provide automation in a restaurant system we can overcome these drawbacks and lead to a SMART CITY which is also the aim of our government.

Published by: Kousar Jan, Insha Farooq Talib, Biswash Pathak, Sunil Kumar Sah, Muzzamil Rather

Author: Kousar Jan

Paper ID: V5I3-1369

Paper Status: published

Published: May 14, 2019

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Research Paper

Enzymatic hydrolysis of weed plant Agave tequilana for the production of bio-ethanol

Burning of fossil fuels has not only led to health problems but also have a great impact on our environment like acid rain, climate change, global warming. And it is excepted by 2070, the current globe will be running out of fossil fuel. Our work was conducted on weed plant Agave tequilana, wherein microbial fermentation was carried out on pretreated biomass with 0.8% of NaOH and 98% H2SO4 by using standard cultures of Aspergillus niger (ATCC 16404)and Saccharomyces cerevisiae (NCIM 3622). The percentage of Bio-Ethanol yield was found to be 45.55%.

Published by: Shashikala A., Rathan Kumar

Author: Shashikala A.

Paper ID: V5I3-1287

Paper Status: published

Published: May 13, 2019

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Dissertations

Comparative analysis and design of framed structure with different types of infill walls

In the last few decades, the scientific community has been extensively involved in the investigation about the interaction between infill walls and RC frames in the seismic structural behavior. The infill walls are seldom included in the numerical analysis of reinforced concrete structural Systems since infill panels are generally considered as non-structural components. However, these panels affect the structural response to a large extent, because the complexity they introduce to analysis, kept them unaccounted. Therefore, it is crucial to understand the contribution of infill walls to earthquake response of the Structures. In this study, an attempt is made to do comparative analysis and design of the structure when the structure is modeled using different types of infill walls. In this study, an R/C frame structure with a different type of infill walls like AAC Block, Clay Brick, are considered to investigate the effect of different types of infill walls on earthquake response of the structures. The RCC frame analyzed & designed by using STAAD-Pro software. The diagonal strut approach is adopted for modeling of infill walls. The analytical results of the building frame will be compared and analyzed to obtain are storey drift, base shear, Lateral displacement, shear force and bending moment when subjected to static earthquake loadings.

Published by: Syed Raheel Ahmed, Aditi H. Deshmukh

Author: Syed Raheel Ahmed

Paper ID: V5I3-1271

Paper Status: published

Published: May 13, 2019

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Review Paper

Smart jacket based on IoT review

Soldiers are an important part of the army, hence for their safety purpose IoT based device can be designed called Smart Safety Jacket. In order to collect and detect various signals for organizations, it is possible to use wearable devices like smart jackets and other accessories. So it can become easy to respond to different situations Smart jackets consists of materials and remote sensors which coordinates with regards to the human body. It can be used to measure and observe different parameters.

Published by: Dhanaji Sugriv Narwade, Rahul Malvadkar, Akshay More, S. S. Saste

Author: Dhanaji Sugriv Narwade

Paper ID: V5I3-1255

Paper Status: published

Published: May 13, 2019

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Review Paper

Offline signature verification for the assessment of neurodegenerative diseases

Neuron degeneration will be a system of operations in which the neurons lose its structure and functionality this results in the end of neurons. Neuron cells are basically responsible for gathering information, synthesizing the same information and passing appropriate signals, based on the information sent, to other nerve cells. There will be no particular involuntary relationship between handwriting patterns of a patient suffering from a neurodegenerative disease. It is known truth that handwriting of a patient can depict the intensity of the disease, it will also be taken as a symptom and detection tool, yet no standard theory or tool exists. Signature verification is an important biometric technique that aims to detect whether a given signature is forged or genuine. It is essential in preventing falsification of documents in numerous financial, legal, and other commercial settings

Published by: Shashank V. P., SachinKumar K., Sandesh B. V., Sunil Michael D. Souza, Kusha K. R.

Author: Shashank V. P.

Paper ID: V5I3-1353

Paper Status: published

Published: May 13, 2019

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Survey Report

The survey on detection of plant diseases by image processing technique

The traditional agricultural system is causing various problems regarding the production of crops and it is the main reason for plant diseases. There are few diseases like rice blast, brown spot, red stripe and downy fungal which cause significant reduction in both quality and quantity of agricultural products. As we people were busier in our daily life, we need a technology which can automatically detect symptoms of plants and give information about it for farmers, so they can easily diagnosis it. So the technological world and agro scientists have found a solution for the major problem facing by our farmers regarding plant diseases. There are many plant diseases which can cause various problems in the human race. We can implement a system which detects and prevents plant diseases easily by using “IMAGE PROCESSING TECHNIQUE”. This technique initially finds the infected region, later finds features like color, texture, and shape. This can be achieved by 3 steps, first color transformation structure for the input RGB image is created, thus the green pixels are masked and removed by segmentation, later texture statics are computed, and finally extracted features are passed through the classifiers. The major techniques involved in the process are, color space, color histogram, grey level co-occurrence matrix, etc…and classification techniques like support vector machine (SVM), back propagation (BP).

Published by: Sakshi, Vachana Shree, Vinutha H., Srinath G. M., Sowmyashree H. V.

Author: Sakshi

Paper ID: V5I3-1362

Paper Status: published

Published: May 13, 2019

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