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Experimental study on waste foundry sand and steel slag concrete

Generation of waste foundry sand as by-product of metal casting industries causes environmental problems because of its improper disposal. Thus, its usage in building material, construction and in other fields is essential for reduction of environmental problems. Similarly, in foundries (where the ferrous and non-ferrous metals are melted.), the slag is produced after the completion of the melting process it can also be used as a building material, construction and in other fields. This research is carried out to produce low-cost and eco-friendly concrete. This paper demonstrates the use of waste foundry sand as a partial replacement by fine aggregate and slag is as coarse aggregate in concrete. An experimental investigation is carried out on concrete containing waste foundry sand in the range of 0%, 20 %, 40% by weight and slag is fully replaced (100%) for M-25 grade concrete (OPC). The material was produced, tested and compared with conventional concrete in terms of workability and strength. These tests were carried on a standard cube of size 150mm×150mm×150mm for 7, 14 and 28 days to determine the mechanical properties of concrete.

Published by: Chandrashekhar D. Sahare, Kishor T. Jadhao, Sohan R. Dudhe, Pallavi S. Godichore, Ashwin D. Parate, Nikeeta B. Dethe

Author: Chandrashekhar D. Sahare

Paper ID: V5I2-1146

Paper Status: published

Published: March 4, 2019

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Research Paper

Fingerprint detection using enhanced minutiae singular point matching technique

Fingerprint matching is the procedure used to decide if two arrangements of unique finger impression edge detail originate from a similar finger. There exist numerous calculations that do unique mark coordinating from multiple points of view. A few techniques include coordinating details focuses between the two pictures, while others search for likenesses in the greater structure of the unique finger impression. In this proposed work, we propose a method for fingerprint matching based on singular point minutiae matching technique. The term "minutia" is used to refer to small ridge details found in fingerprints; most often, they are termed as main points described on ridge structures. Minutiae pi and qi are considered to coordinate if their traits are inside a certain Limit.

Published by: Rozi Kumari, Puneet Jain

Author: Rozi Kumari

Paper ID: V5I2-1137

Paper Status: published

Published: March 4, 2019

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Research Paper

Development of ponnanganni green soup powder

People are passing hectic life due to urbanization. They do not have enough time to cook foods and are becoming habituated to consume fast foods and something like that. Ponnanganni leaves are cultivated in India especially Tamil Nadu people used commonly. Objectives are To prepare the green soup powder, To Analysis of the nutrient content and microbial content of green soup powder, To standardize the acceptability of the soups, To cost analysis and Popularize of green soup powder. Alternanthera sessils washed the thoroughly and kept it for drying in room temperature for 8 days. Greens Powder has roasted it for 20 minutes grinds to a fine powder. Green gram dhal was roasted it for 15 minutes grinds to a fine powder, pepper was roasted it 5 minutes grind to fine powder, cumin was roasted it 5 minutes grind to fine powder. Corn flour was taken, Parboiled rice flour was taken. It acts as a thickening agent and it is a shining agent.salt was taken. It gives the taste of the product. ponnankanni keerai soup powder nutritive value was moisture 6.10, calories152.35 Kcal, protein 10.37gm, fat 1.78g, vitamin A 1057.75mcg, vitamin C 60.35 gm, calcium 351.25, iron 11.45gm, fibre2gm were evaluated of 100 gm green soup powder. The microbial count was analyzed 2.2×103 cfu/g of the sample in the total viable count. Total coliforms <0.3bassessed up to 90 days. The product was popularized in Thoothukudi self-help group women and school students.

Published by: Karolin A.

Author: Karolin A.

Paper ID: V5I1-1432

Paper Status: published

Published: March 4, 2019

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Research Paper

Autonomous smart car-EQ fortwo

With vehicle technology becoming more and more advanced, it’s only a matter of time before sharing the roads with self-drivers. This paper describes you about the smart vision EQ fortwo will be able to make the most out of the limited amount of space. Our system will be minimizing human interaction with cars; with the use of the mobile device, the passengers will be able to summon the smart EQ fortwo to pick them up at any location.

Published by: Harshitha Rajkumar Shetty

Author: Harshitha Rajkumar Shetty

Paper ID: V5I1-1446

Paper Status: published

Published: March 4, 2019

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Review Paper

ATM- Robbery prevention using machine learning technique

The idea if designing and implementation of the real-time ATM robbery prevention project came with the observation of real-time ATM robbery incidents around us. This project gives the alert at the instant of time when the thief is about to break the ATM machine.so, to overcome the drawbacks in the existing systems in our society. Whenever the thief is bringing the tools for the robbery into the ATM or when the thief is trying to use the tool to break, the CCTV camera on the ATM sense whether the person is bringing tools using the deep learning techniques and machine learning. Here the OpenCV and Tensorflow is used as the platform and the python language is used for the deep learning technics and Keras API were used for object detection. And an alert message is sent to both bank and police station nearby through the e-mail.

Published by: Kumaresan R., Dharanidharan G. V., Gomathi S.

Author: Kumaresan R.

Paper ID: V5I1-1440

Paper Status: published

Published: March 4, 2019

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Research Paper

Enhancing the nutrient removal and deposition of lipid by co-culturing Aspergillus tamarii and Chlamydomonas reinhardtii on potato processing waste water

Removal nutrients by utilization from the culture medium and accumulations of lipid by oleaginous microorganisms are the promising route for the biodiesel feedstock production. Most of the oleaginous microbes cannot directly utilize starch, some of them modify the nutrient resources like cellulose and starch into monosaccharides initially, and then these fermentable sugars will be converted into fatty acids. In the present work, we investigated how the co-culturing of Aspergillus tamarii and Chlamydomonas reinhardtii involves in nutrient removal, starch-digestion, and lipid deposition when cultivated in potato processing wastewater. We found that combined cultivation and consolidated bioprocessing the fungi and algae stimulate nutrient removal, starch-digestion, and biodiesel feedstock production effectively. The results exhibited the highest biomass (18.5g/L and 19.3g/L) with the lipid content of 43% and 57% on 10 and 25% diluted potato processing wastewater after the 4th day of incubation. Maximum depletion of Ammonium nitrogen (34 mg/L) Orthophosphates (14 mg/L) and starch-digestion was 89% was obtained at 25% diluted potato processing wastewater after the 4th day of incubation. Considering the yield, lipids derived from starch using Aspergillus tamarii and Chlamydomonas reinhardtii would be a promising alternative source for biodiesel feedstock production.

Published by: Anandan Dayanandan, Janice R.

Author: Anandan Dayanandan

Paper ID: V5I1-1395

Paper Status: published

Published: March 4, 2019

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