Manuscripts

Recent Papers

Review Paper

Online terrorist detection system

Data mining is the extraction of pattern and knowledge from a large amount of data. This concept can be utilized in various real-life applications. One such congenial application is the online terrorist detection system. With expanding terrorist activities, it has turned out to be essential to control and stop its spread before a specific time. Internet is a noteworthy wellspring of spreading fear based oppression through videos and speeches. They use websites to mentally program people that would move vulnerable individuals to join terrorist associations. So here we propose an effective software to recognize such web properties and ban them naturally for human survival. In present situation utilization of the web is in the blast. Be that as it may, each coin has opposite sides, moreover, the utilization of web is valuable just as hurtful to individual. Late days numerous fear assaults were there on the net. Such fear related exercises are risky for people groups, association, and nations. The fear-based oppressor is utilizing the web to spread dread and structure psychological militant gatherings. By utilizing web they effectively do likewise. To trade data Internet foundation is utilized by various Terrorist cells and they enlist new individuals and supporters. To deal with such circumstance we propose a framework called ATDS.

Published by: S. Aishwarya, A. Janani, Manepally Alekhya

Author: S. Aishwarya

Paper ID: V5I2-2020

Paper Status: published

Published: April 26, 2019

Full Details
Research Paper

Automated blind spot vehicle parking with improved safety feature

The ultimate aim of this paper is to eliminate the accidents occurring in the vehicle parking at the blind spot (not visible) of the vehicle at the parking area or in the basements/dark. In the existing Parking Assistance System (PAS) there is no automatic brake applying EHCU encoded is available in the market. Hence in this project, I have an idea to write coding in the EHCU for automatic braking with respect to the output from the PAS ECU to apply the brake automatically.

Published by: S. Rajkumar, S. Gowtham

Author: S. Rajkumar

Paper ID: V5I2-2101

Paper Status: published

Published: April 26, 2019

Full Details
Survey Report

Automated shopping trolley for billing system

The modern technology has increased the standard of living for humans. There has been an emerging demand for quick and easy payment of bills in supermarkets. Every one of us craves for quality in everything we use in our daily lives. This project describes how to build an automated and time-saving system for the world of retail which will make shopping experience impetuous, customer friendly and secure. So, this has resulted in large crowds at shopping malls which have to lead to long lines at the billing counter because the cashier has to scan every product item and then enter it into the billing record. The prevailing billing system is a bit time-consuming. So, we thought of inventing a remedial electronic product to catch-up with this problem. We call it “Automated shopping trolley for billing system”.

Published by: Bhumika R., Harshitha G. Bhat, Chandana K., Meghashree R. T., Dr. Sangappa S. B.

Author: Bhumika R.

Paper ID: V5I2-1573

Paper Status: published

Published: April 26, 2019

Full Details
Research Paper

Estimation of Land Surface Temperature using LANDSAT DATA: A case study of Agra city, India

Land Surface Temperature (LST) is an important indicator for the study of climate change, urban environment, heat balance studies, hydrological and agricultural process, and urban land use and land cover as well as user input for climate models. LANDSAT data is utilized for the number of applications such as environment study, digester and resource management. This study has been made to estimate, LST using Arc GIS over Agra, India, using LANDSAT 8 and 5 satellite data. The LST has been estimated with respect to Normalized Difference Vegetation Index (NDVI) values determined from the Red and Near Infrared bands. The Land Surface Emissivity (LSE) is retrieved directly from the Thermal Infrared bands. The present study focuses on ArcGIS Raster functions and Raster calculation using the thermal band 10 and 11 of Landsat 8 satellite and thermal band 6 of Landsat 5 on the month of April. The results are feasible to calculate NDVI, LSE, and LST with appropriate accuracy. In the last drive out the temperature variance in different land use and land cover area of Agra city, India.

Published by: Dr. Vishwa Raj Sharma, Kamal Bisht

Author: Dr. Vishwa Raj Sharma

Paper ID: V5I2-1926

Paper Status: published

Published: April 26, 2019

Full Details
Research Paper

Study on shrinkage properties of concrete with and without mineral admixtures

Structures that complied with code requirements still fail due to excessive cracking. Shrinkage is primarily responsible for such failures. Concrete shrinkage is of increasing concern when focusing on maintaining durable structures. Shrinkage in concrete can be broadly classified into two different stages, namely early age and later age. At early ages, the concrete is still moist and there are difficulties in measuring the fluid material. These difficulties have hindered comprehensive physical testing of shrinkage in plastic concrete. This project aims in evaluating the plastic shrinkage of different concrete mixes. Over time, the shrinkage induces cracking which can severely decrease concrete life expectancy. Such cracks can be mitigated by inclusion of materials such as synthetic fibers, shrinkage reducing admixtures, expansive agents and superabsorbent polymers. And the corresponding variation of compressive strength of these mixes is also studied.

Published by: John Kurian, Amrutha Sivan, Liya Mary P. L., Leanda J. Payyappilly, Elson John

Author: John Kurian

Paper ID: V5I2-2098

Paper Status: published

Published: April 26, 2019

Full Details
Research Paper

Industrial monitoring system

In our project, we are trying to implement IoT in the manufacturing area for monitoring the industries and obtaining the crucial data that can be used to implement automated decisions using machine learning for the safety of the workers in an industry an increasing the productivity and efficiency of an Industry. Also, we will discuss some the current trends in the Industrial IoT or Industry 4.0 and see If there could be any improvement that can be done in this sector and discuss challenges we can face in implementing IoT and how can be these challenges be addressed. Industry4.0 is a name given to the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing and cognitive computing. Industry 4.0 is considered as the fourth industrial revolution. All these, when implemented to a Manufacturing Industry, can improve the production system and Safety of an Industry.

Published by: Rishab Garg, Mrinal Anand, Abhishek Yadav, S. Babeetha Muruganantham

Author: Rishab Garg

Paper ID: V5I2-2093

Paper Status: published

Published: April 26, 2019

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X