Manuscripts

Recent Papers

Case Study

Customer segmentation and prediction analytics in ERP for jewelry domain

Customers are the link to a business's success. Any organization must focus on a huge number of customers, for this customer satisfaction and loyalty should be incorporated along with the long-term goals of the organization. As the backbone for all marketing activities, customer analytics comprises techniques like predictive modeling, data visualization, information management, and segmentation. Customer analytics is becoming critical. Customers have access to information anywhere, any time – where to buy, what to shop for, what proportion to pay, etc. The deeper the understanding of customers' buying habits and lifestyle preferences, the more accurate your predictions of future buying behaviors are going to be – and therefore the more successful you'll be at delivering relevant offers that attract rather than alienate customers. Generally, organizations spend a lot of money to acquire new customers but they do not realize that the majority of the sales and profits come from their existing customers. In this thesis, the existing customers are analyzed and given a customer lifetime score, and based on this score, the customers are nurtured by the sales team to increase the profits. In order to maximize sales and conversions, customer segmentation and product recommendation engine is used effectively. Customer segmentation is the process of dividing the customers into many groups that supported common characteristics so companies can market to every group effectively and appropriately. Segmentation is performed using k means clustering. Segmentation allows marketers to raised tailor their marketing efforts to varied audience subsets. It is important to predict the customer segment for any new customer which can be done using supervised classification algorithms such as Logistic Regression, Naïve Bayes, Random Forest, K Nearest Neighbour, and Support Vector Classifier.

Published by: Mohammed Mafaz

Author: Mohammed Mafaz

Paper ID: V7I4-1645

Paper Status: published

Published: August 4, 2021

Full Details
Research Paper

Antibacterial activity of filter material based on garnet and silver vein graphite composite

Disinfection of microbially contaminated water is an important part of water purification, aiming to inactivate pathogenic microorganisms in water. Silver nanoparticles have attracted tremendous interest for water disinfection because of their antibacterial efficiency. This study focuses on the use of garnet sand coated with silver-graphite composite in deactivating waterborne microbes. Graphite was purified by acid leaching, followed by surface modification with conc. HNO3. The silver-graphite composite material (SVG) was synthesized using AgNO3 as a precursor and trisodium citrate as a reducing agent. SVG was coated around garnet sand with the assistance of three types of clays namely montmorillonite, red clay, and kaolinite. Garnet sand was directly coated with silver nanoparticles to compare the durability and antibacterial efficiency. Garnet sand coated with SVG using red clay (75%) and montmorillonite (75%) showed a higher percentage coating than that used with kaolinite (25%). The antibacterial activity of coated garnet was tested using Escherichia coli. The results revealed that all coated garnet sand samples were able to decrease the concentration of E. coli from water, and no effect was observed from raw garnet sand. The antibacterial efficiencies were (13-70%), (15–57%), (38-67%) for kaolinite, red clay, and montmorillonite coated garnet sand, respectively. The garnet sand coated with silver nanoparticles showed the highest efficiency (96-100%) with the lowest percentage of coating. According to the results obtained, garnet sand coated with SVG using montmorillonite showed the highest antibacterial activity and the highest percentage of the coating. Therefore, this study, suggests that the filter system with the garnet sand coated with SVG using clays can be used as a potentially cost-effective alternative filtration medium for the disinfection of water.

Published by: V. M. Rajindra Swarnamali, A. Sivapaln, K.P.S. Sudumenike, T.H.N.G. Amaraweera, Y.M.S.S. Yapa

Author: V. M. Rajindra Swarnamali

Paper ID: V7I4-1648

Paper Status: published

Published: August 4, 2021

Full Details
Review Paper

Air pollution monitoring using IoT

As the world becomes more industrial to support the basic necessities and luxuries of life, adverse effects have been noticed in the environment. One of these adverse effects is air pollution. Air pollution has risen to such a level in certain regions of the world that it has started to cause health-related issues to all of the living beings dwelling in that region. The purpose of this paper focuses on designing and implementation an air pollution monitoring system based on the Internet of Things (IoT) that would read the levels of pollutants in the air and other air quality factors, and thereby transmit these readings via wireless communication to a smart cloud platform where all these readings can be displayed in a distinguished manner. Such a system is a vital need so as to check the atmosphere one life in, and thereby take precautionary measures to protect oneself and the surrounding nature.

Published by: Ajay Suri, Siddhant Sahu, Shivam Sharma, Shalu Rawat, Rishi Yadav

Author: Ajay Suri

Paper ID: V7I4-1643

Paper Status: published

Published: August 4, 2021

Full Details
Research Paper

Real driving emissions strategies in heavy-duty vehicles

Bharat Stage 6 Emission Norms will require Real Driving Emissions as an additional type approval requirement from April 2023 in India. There is a significant requirement for reduction in exhaust gas emissions from Bharat stage 4 to Bharat stage 6. Several changes in engine constructions, tuning of the engine, valve, and ignition timing need to be adjusted. Moreover, after treatment device such as catalytic converter, selective catalytic reduction, Diesel particulate filter, exhaust gas recirculation needs to be adopted to meet these norms. Real Driving Emissions takes into account the road profile, the ambient conditions, traffic situations, drivers' behavior, and their influence on emission values. This new test requires equipment called Portable Emission Measurement system which comprises of exhaust flow meter, exhaust gas analyzer, global positioning system, ambient temperature, and ambient pressure sensor, OBD data acquisition device, and connection with vehicle ECU. The overall trip duration shall be between 90-120 minutes which consists of urban, rural, and highway driving. Thus accurate planning of route is required to reduce test failure risk and consequently experimental cost. When the driving conditions like ambient temperature and altitude are changed in order to check for different and extended conditions then there is a change in test results which are called extended test results. In recent studies, it was found that NOx emission was relatively higher compared to the expected result in urban conditions. This is due to constant low speed, deceleration, and acceleration. Thus conformity factor for NOx emissions varies from one emission regulation to another. The aim of this paper is to present the basics of Real driving conditions.

Published by: R. S. Shingnad, Dr S. J. Navale

Author: R. S. Shingnad

Paper ID: V7I4-1641

Paper Status: published

Published: August 4, 2021

Full Details
Research Paper

COVI SCAN (Face mask detection and social distancing violation detection)

COVID-19 pandemic is a great humanitarian challenge faced by the world today. The pandemic has spread widely causing the world to halt and the number of cases continues to rise. Governments all around the world are working to slow down if not completely stop the spread of this pandemic. Many protocols have been implemented, crucial ones are face masks and social distancing. Since social distancing and wearing a mask are the only monitored ways to avoid the infection till vaccinations become accessible to all. Real times mask detection and social distance violation using computer vision and deep learning techniques. For face mask detection we collected a dataset consisting of with-mask and without-mask labels.

Published by: Shaikh Muskaan, Poojashree, Preksha, Rakshitha R., Manjunatha A. S.

Author: Shaikh Muskaan

Paper ID: V7I4-1616

Paper Status: published

Published: August 4, 2021

Full Details
Research Paper

Optimization of Sinter FeO at Sinter Plant, Tata Steel Kalinga Nagar

The analysis presented herein shows that the impact of sinter FeO on BF fuel rate is more significant at higher productivity levels (greater driving rates) than sinter RDI. Since typical levers to control sinter RDI are not available (gangue content, etc.) at Tata Steel Kalinganagar (TSK) due to the significant proportion of sinter in the BF burden, controlling sinter RDI at present in TSK requires higher heat input during sintering, which, generally leads to higher sinter FeO. From the data analysis, the suggested band of operation for sinter FeO is 10.4 – 10.8%. In this band of sinter FeO, the RI value can be maintained at 73.5-75.5% with RDI ~ 28-32%. Considering the narrower band of sinter FeO that is preferable for blast furnace operation, there is a scope to reduce carbon rate by 3- 4 kg/t GSn (tonne of Gross Sinter) from its present level of operation (62 kg/t GSn to 58 kg/t GSn average) at the sinter plant.

Published by: Srijith Mohanan, Prajna Mohapatra, Arun Kumar C, Vipul Mohan Koranne, Sabuj Halder, A.S. Reddy, R.V. Ramna

Author: Srijith Mohanan

Paper ID: V7I4-1605

Paper Status: published

Published: August 4, 2021

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