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Research Paper

Framework for enhancing privacy of files in web using random key generation technique

In general online websites contain millions of articles related to different domains. The major flaw found in these websites is the absence of security for files uploaded without any protection. It is made in such a way as it is simply available for any users to change the content of these files. Thus, to overcome the above drawback we propose the system “Framework for Enhancing Privacy of the Files in Web Using Random Key Generation Technique” which makes all the files protected using key generation and encryption techniques so that no other invalid user is allowed to access the file. Even the authorized user must request to the admin to get the key for the particular file from the database to access it. Thus the system provides secured data access with original information uploaded by the data owner, it also avoids the duplication of the same content from different users of the web.

Published by: Anjana K., Kumar P.

Author: Anjana K.

Paper ID: V5I2-1647

Paper Status: published

Published: April 1, 2019

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Research Paper

EPOT- Earning Point On Time

EPOT refers to the systematic process of searching for prospective employees and stimulating them to apply for jobs in an organization. Candidates search jobs mostly using online job searching sites and applications, but these sites provide only permanent jobs. People moving to a new location they did not get any contacts for household works. Our system proposes a solution for the above-mentioned problems by providing time-based jobs as well as part-time jobs. By using the Google map API, our application may get the users locations and gives a contact for the work they needed. As it helps the user to identify the correct person according to ratings and feedback.

Published by: Ranjani M., Dinesh Kumar T., Saranya P., Vetrichelvi V. N., Nagajothi S.

Author: Ranjani M.

Paper ID: V5I2-1639

Paper Status: published

Published: April 1, 2019

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Research Paper

Identification of novel compounds to treat Alzheimer’s disease

Alzheimer’s disease or Alzheimer’s is a brain disorder characterized by progressive loss of neural functions and dementia in elderly people. It has perilous effects on memory and other cognitive activities. Apolipoprotein (APOE) is responsible for delivering cholesterol-rich lipoproteins to the bloodstream. The maintenance of optimum levels of cholesterol is absolutely necessary as an imbalance might lead to cardiovascular and neurological diseases. Out of the four alleles for the APOE gene, the main causative agent for the onset of Alzheimer’s is the e4 allele. APOE e4 allele leads to the production of amyloid plaques which further cause the accumulation of amyloid β peptide. The excess build-up of such toxic products leads to neuronal death giving rise to early symptoms of the disease. Our research mainly focuses on the identification of potential inhibitors against Sortilin (SORT1), an APOE receptor associated with Alzheimer’s. We have employed scientific software to identify the specific conformations of ligands that show the maximum interaction with the target compound and further analyzed these results by generating descriptors computationally for QSAR studies. The optimum model was generated with r2 = 0.794, s= 0.108. We have been able to select two ligands which can be used as potential drugs to treat Alzheimer’s.

Published by: Kusumitha Shrinivasan, Swarnali Sarkar, Anand Prem Rajan

Author: Kusumitha Shrinivasan

Paper ID: V5I2-1654

Paper Status: published

Published: March 30, 2019

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Technical Notes

Mathematics in financial market

It is about the use of mathematics and its theories in Financial Market.

Published by: Yash Drolia

Author: Yash Drolia

Paper ID: V5I2-1438

Paper Status: published

Published: March 30, 2019

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Research Paper

Aerodynamic optimization of passenger vehicle

The growth in computational fluid dynamics has brought about a rapid increase in the study of vehicle aerodynamics aiding to meet the stringent fuel economy and pollution laws. Though there has been a lot of research in the segment of sedans and sports vehicles, there has been considerably less amount of research on the hatchback segment of vehicles. This paper aims at a study in the computational fluid dynamic simulations of a widely used passenger hatchback vehicle and a proposed model to obtain the reduced coefficient of drag value for the proposed model based on the initial widely used model and to understand the effect of the shape of a vehicle on the drag value of the vehicle. The widely used hatchback passenger vehicle (initial model) is designed based on a body, similar to that of a typical hatchback model widely sold in the Indian market. The drawbacks of the initial model are obtained via the CFD simulations and the proposed model is designed to overcome those drawbacks and offer minimal resistance to air thereby reducing the Coefficient of Drag value.

Published by: Hussain Ezzy, Mohammed Zain M., Dr. N. Prakash

Author: Hussain Ezzy

Paper ID: V5I2-1649

Paper Status: published

Published: March 30, 2019

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Research Paper

Replacement of fine aggregate by using glass material in concrete

Glass powder (GP) used in concrete making leads to a greener environment. In shops, damaged glass sheets & sheet glass cuttings are going to waste, which is not recycled at present and usually delivered to landfills for disposal. Using GP in concrete is an interesting possibility for the economy on waste disposal sites and conservation of the environment. This project examines the possibility of using GP as the fine aggregate replacement in concrete. Natural sand was partially replaced (0%-20%) with GP in concrete. Compressive strength (cubes and cylinders) up to 28 days of age were compared with those of high-performance concrete made with natural sand.

Published by: Ratilal Narayan Patil, Dr. S. L. Patil, Chetan Pandurang Patil, Suvarna Namdev Patil, Pratima Tedgya Valvi, Puja Vishwas Gade

Author: Ratilal Narayan Patil

Paper ID: V5I2-1626

Paper Status: published

Published: March 30, 2019

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