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Face recognition-based student’s attendance system using DLIB

Daily attendance tracking is an integral part of any organization’s day-to-day activity. It is also very important to have the records with the ease of maintaining them. Roll call method is considered as time taking and it also has any possibility of proxy marking. The proposed work speaks about the implementation of an attendance system by using face recognition. The Marked attendance is stored in a database and can be considered for future purposes. At the time of marking attendance, this system will automatically take the pictures and apply implemented algorithm to Mark the correct attendance. The attendance is marked in the form of name, date, and time. Histogram of oriented gradient method is implemented for the detection and facial landmark estimation is implemented for computation and comparison of the students the implementation is done on a real-time basis.

Published by: Sheetal Rajendra Wagh, Kiran Chaudhari

Author: Sheetal Rajendra Wagh

Paper ID: V8I1-1279

Paper Status: published

Published: January 25, 2022

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Review Paper

Tukhm Khatmi (Althea officinalis Linnaeus): A review

Althaea Officinalis Linnaeus is a perennial plant with light brown colored, long and thick roots, ovate-cordate, slightly toothed leaves, and pale pink or pale purple-colored flowers. It is commonly known as “Marsh Mallow” is one of the important medicinal plants used in Unani medicine, All the parts contain mucilage, and it is having emollient, analgesic, astringent, hemostatic, expectorant, laxative, cleansing, demulcent, concoctive, diuretic, emmenagogue, anti-inflammatory, and exhilarant properties.4 In Unani medicine, Khatmi has been used for several centuries to treat inflammatory disorders like Warme Reham (metritis), Warme Piston (mastitis), Warme Ama (enteritis), Wajaul Mafasil (arthritis), Qaulanj (colitis), Zatur Riya (pneumonia), Warme Shoib (bronchitis), etc.5 chemical constituents contain Pectins, Hypolaetin-8-glucoside, Isoquercitrin, kaempferol, caffeic, pcoumaric acid, ferulic acid, p-hydroxybenzoic acid, salicylic acid, p-hydroxyphenyl acetic acid, vanillic acid. Scopoletin, herniarin, warfarin β-sitosterol, campesterol, stigmasterol, Isoquercitrin, ellagitannins, gallic acid L-Aspartic Acids, L-Asparagine, Threonine, Methionine, L-Glutamic acids which helps act as anti-Inflammatory, immunomodulator, antimicrobial, antiviral anti-cancer, hypoglycaemic, hypolipidemic, scavenging activity, Antitussive and anti-complement activity in the human body. This paper reviews the detailed literature of this plant species including taxonomy, pharmacology, Phyto Chemical Constituents, and pharmacological activities in an organized way. This review paper will surely serve as an important source for future scientific investigations on this plant.

Published by: Shazamani S., Wajeeha Begum, Syeda Sumaiya

Author: Shazamani S.

Paper ID: V8I1-1275

Paper Status: published

Published: January 24, 2022

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Research Paper

Mathematical modeling of the electric scooter battery pack using SCILAB

Electric vehicles have been a sustainable and environment-friendly mode of transport have gained immense importance since the beginning of the 21st century. Mathematical modeling has been a boon for the design procedure, which helps us understand the real-time output of our design without practical implementation. The research paper will be discussing mathematical modeling for an electric scooter battery pack. It will be done by calculating the energy consumption for the desired output by an EV and then later comparing the different cells by considering various battery parameters. The modeled scooter would be capable of replicating the output similar to a current CV. SCILAB will be used as the simulation software. For calculating the real-time energy consumption, WLTP cycle data will be used. The data for the WLTP drive cycle is based on the real-time driving scenario. It would help us to estimate the energy consumption that can be close to the practical value. For accurate results, it is necessary to test the designed model on a dynamometer for better optimization.

Published by: Hrushikesh Anil Chari, Dr. Rajendra Katikar

Author: Hrushikesh Anil Chari

Paper ID: V8I1-1270

Paper Status: published

Published: January 24, 2022

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Research Paper

Getting art to the market: how is the price of paintings determined?

This paper is aimed at finding a correlation, if any, between the factors determining the price of an artwork. Based on quantitative analysis of a personal survey with 31 respondents, the factors do not form any particular abstract formula which could be derived. It was indicative that the surveyees approached pricing in a variety of ways. To make sense of the variety, the author used an inductive technique to identify and categorize various price styles. The results of the polls were tallied to determine the variables that each artist considered when making their selection. Individual respondents' most prevalent choice aspects are revealed through this method.

Published by: Divyanshi Saroff

Author: Divyanshi Saroff

Paper ID: V8I1-1273

Paper Status: published

Published: January 24, 2022

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Research Paper

Universal Turing machine simulator

In this, we introduce a Turing Machine and Pushdown Automata Simulators as an effective setting for getting to know technique models and automata concepts. The 2-fold contribution of these paintings could be a novel use of modern-day generation to enhance getting to know and longitudinal experimental analysis of its use in context. An introductory evaluation suggests the effectiveness of the simulators inside the schoolroom

Published by: Rohit Gurav, Sakshi Suryawanshi, Parth Narkhede, Sankalp Patil, Sejal Hukare, Kuldeep Vayadande

Author: Rohit Gurav

Paper ID: V8I1-1268

Paper Status: published

Published: January 24, 2022

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Research Paper

Heart Disease Prediction

Heart Disease prediction is one of the most complicated tasks in the medical field. Day by day the cases of heart diseases are increasing at a rapid rate and it’s very important and concerning to predict any such diseases beforehand. This diagnosis is a difficult task i.e. it should be performed precisely and efficiently. We prepared a heart disease prediction system to predict whether the patient is likely to be diagnosed with heart disease or not using the medical history of the patient. Traditional approaches that involve the collection of data from devices into one centralized repository for further analysis are not always applicable due to a large amount of collected data, the use of communication channels with limited bandwidth, security and privacy requirements, etc. Federated learning (FL) is an emerging approach that allows one to analyze data directly on data sources and to federate the results of each analysis to yield a result as traditional centralized data processing. Available electronic medical records of patients quantify symptoms, body features, and clinical laboratory test values, which can be used in predicting heart disease.

Published by: Medasani Hari Kumar, Kottamasu Sai Anila, Doppalapudi Sriram, Rizwan Patan

Author: Medasani Hari Kumar

Paper ID: V8I1-1248

Paper Status: retracted

Submitted: January 24, 2022

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