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Research Paper

Identifying defects during semiconductor manufacturing using Machine Learning

This Project is about identifying defects in the equipment that manufactures semiconductors by using various required parameters. Semiconductor manufacturing is a very delicate process and all the equipment that manufactures semiconductors needs to function properly, and any error in this equipment will cause major damage to the manufacturing process. In this project, we have used various machine learning algorithms and implemented the best one which has more accuracy in identifying defects during the manufacturing of semiconductors.

Published by: Nandini G., K. G. Ashwin Krishnan, Harshith R., Dileep Kumar Simhadri, Gummalla Akhil Kumar Reddy

Author: Nandini G.

Paper ID: V7I4-1638

Paper Status: published

Published: August 4, 2021

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Case Study

Survival analysis of heart failure patients using Machine Learning on an imbalanced dataset

In this paper, we have focused on the survival analysis of heart failure patients. The number of individuals diagnosed with coronary failure is increasing and projected to rise by 46 percent by 2030, leading to quite 8 million people with coronary failure. The reason for the increase in heart failure is due to an increase in the number of cases involving high blood pressure, valve disease, thyroid disease, kidney disease, and diabetes [1]. With the growth of machine learning, data mining, statistical analysis, data-modeling predicting whether the person will survive [2] or not after heart failure is possible and it becomes very crucial.

Published by: Mohammed Mafaz

Author: Mohammed Mafaz

Paper ID: V7I4-1655

Paper Status: published

Published: August 4, 2021

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Review Paper

Surveillance Bot with real time object detection

Computer Vision is a subset of programs and software programs in computer science that can see and understand pictures. Computer Vision has different characteristics, such as image recognition, object detection, processing of images, image processing, etc. Face recognition, car detection, pedestrian counting, online imaging, surveillance systems and self-driving cars are commonly used for object detection.

Published by: Aman Agrawal, Ajay Suri, Akshay Goel, Aman Varshney

Author: Aman Agrawal

Paper ID: V7I4-1659

Paper Status: published

Published: August 4, 2021

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Others

Indian Online Art Athenaeum

Creating an Online Art Athenaeum application that provides all end-users to view and purchase exotic Art items from the comfort of their home. The application provides high security for the end-users by enclosing all their personal details. The application has an additional Auction facility for Users to purchase rare art collections.

Published by: Yazhini Gopalakrishnan

Author: Yazhini Gopalakrishnan

Paper ID: V7I4-1665

Paper Status: published

Published: August 4, 2021

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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

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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

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