MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

Engineering and Technology

Over the years, many researchers have sought to use Deep Learning techniques to detect the malaria-infected cells in blood sample images. Although extremely dangerous, the spread of malaria can be restricted when treated in the early stages. This serves as an impetus for implementing an accurate solution for the detection of malaria that can replace the traditional manual process. The manual process consists of visually examining the blood samples and counting the parasitized and non-parasitized red blood cells. This process is extremely time-consuming, requires the presence of trained medical personnel, and is susceptible to human errors. With these aspects in mind, we aimed to develop a solution that could be used by medical staff with minimal training, thereby saving on time and labour. Having studied various research papers related to the use of Deep Learning techniques for the detection of malaria, we have proposed a model that addresses the gaps we identified in these systems while not compromising on the accuracy of the results. Our proposed model comprises a pre-processing module, the frozen Encoder of an Autoencoder model, a few dense CNN layers, and the classifier (Softmax). © 2022 IEEE.

World University root node

School of Computer Engineering & Technology

2022 2nd Asian Conference on Innovation in Technology, ASIANCON 2022

Malaria Cell Image Classification using Autoencoder

Proceedings - 2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022

An IoT based Smart Medicine Dispenser Model for Healthcare

School of Mechanical Engineering

2022 IEEE Pune Section International Conference, PuneCon 2022

Photoplethysmography Sensors Concept and Advancements: A Review

ATM(Automated Teller Machine) is among the most important tools for financial transactions. Nevertheless, for years, the visually impaired have been denied various banking facilities, especially ATM cards. The most common arguments presented by banks are 'someone might misuse your card or cheat you, you might be stalked by miscreants and robbed'. Therefore, an ATM interface should be made which allows the visually impaired to do transactions safely, independently, and efficiently. This work aims to implement an ATM interface that has all these qualities. In this interface, the user will hear audio instructions from the interface about various facilities in the ATM, implemented using text-to-speech conversion. Moreover, the ATM will also notify the breakup of dispensed cash and directions for the cash dispenser via audio instructions. The user will also be able to give voice instructions to the interface for speeding up the transactions, implemented using NLP(Natural Language Processing). For avoiding the snooping of ATM PIN(Personal Identification Number), a distance detection algorithm will be used, to ensure that there is no one else present in the ATM. © Grenze Scientific Society, 2022.

13th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2022

Designing a Secure Interactive ATM for Visually Impaired People

BACKGROUND: The nutrition screening tool determines whether or not a patient is at risk of malnutrition. Many organizations contributed to the form's design by researching various nutritional screening tools. OBJECTIVE: The purpose of this study is to analyse the different screening forms for the hospitalised geriatric patients to understand the nutritional status as well as the comorbidities. In addition, the study intends to identify the essential parameters from three nutrition screening forms-MUST,NRS-2002,MNA. The primary outcome is to identify the essential parameters from the screening form and calculating the nutrition risk score is considered a secondary outcome. METHODS: The research was done on geriatric patients who were admitted to the hospital from November 2019 to March 2020, suffering from comorbidities. The study comprises 192 hospitalized patients with an average age of 74 years including both genders. The patients' data was collected by a certified dietician to understand the essential parameters of these nutrition screening forms. The Pearson correlation test is used to find the correlation value between the screening form parameters. Based on the analysis, features with a correlation value greater than 0.5 with the nutrition score are considered a significant parameter for the research. RESULTS: The analysis of the nutrition screening strategy demonstrates the different significant parameters of the above three screening forms. The experimentation shows, the significant parameters are the Body Mass Index, impaired nutrition status, the severity of disease, mobility, mode of feeding, nutritional status, and weight loss score. CONCLUSIONS: The research is performed to understand the correlation between the screening form parameters MNA, MUST, NRS2002 using a non-invasive method and analyze the score in patients to improve health rates by using nutritional risk therapy and nutritional care for such patients. Nutrition therapy can be applied to patients suffering from malnutrition and at risk of malnutrition to improve the health of the patient. © 2022-IOS Press. All rights reserved.

Mediterranean Journal of Nutrition and Metabolism

Analysis of Nutritional Risk Tools to Identify Essential Parameters in Assessing Nutritional Risk in Elderly Patients

Landfill leachate is created via decomposition of landfill waste transported by water percolation through the soil layers. If the landfill sites are not designed properly then the leachate simply passes through the soil layers. This may create an adverse effect on the engineering properties of soil, as well as on the chemical properties viz. adsorption and retention of heavy metals. In the present study, an experimental work was carried out to examine the effects of landfill leachate contamination on the soil properties viz. physiochemical and geotechnical of an active Municipal Solid Waste (MSW) dumping site located near Pune city, India. The soil samples were collected from three different locations (at 150 m spacing) and leachate was collected from the treatment plant, located in the premises of the dumping site. The test result shows that the leachate containing the highest concentration of metals, Biochemical Oxygen Demand (BOD), and Chemical Oxygen Demand (COD). The soil sample in close proximity to the MSW dumpsite is most contaminated as compared to the furthermost soil samples, because of the high contents of organic pollutants and heavy metals. The present study clearly indicates that if the leachate is permitted to drain straightway into the surface water or infiltrates in to the groundwater it can cause adverse effect on human health and environment. © 2022

School of Civil Engineering

Materials Today: Proceedings

Study of soil properties affected by leachate – A case study at Urali-Devachi, Pune, India

Present study highlights the behavior of the weir crest head and width parameter on the discharge coefficient of a compound broad crested (CBC) weir. Computational fluid dynamics model (CFD) is validated with laboratory experimental investigations. In the discharge analysis through broad crested weirs, the upstream head over the weir crest (h) is crucial, where the result is mainly dependent upon the weir crest length (L) in the transverse direction to flow, water depth from channel bed. Currently, minimal investigations are known for CFD validations on compound broad crested weirs. The hydraulic research for measuring discharge numerically is carried out using FLOW 3D software. The model applies renormalized group (RNG) using the volume of fluid (VOF) method for improved accuracy in free surface simulations. Structured hexagonal meshes of cubic elements define discretized meshing. The comparative analysis of the numerical simulations and experimental observations confirm the performance of the CBC weir for precise measurement of a wide range of discharges. Series of CFD model studies and experimental validation have led to constant range of discharge coefficients for various heads over the weir crest. The correlation coefficient of discharge predictions is 0.999 with mean error of 0.28%. © 2022 The Authors

Water Supply

Comparative study of experimental and CFD analysis for predicting discharge coefficient of compound broad crested weir

This paper presents the design and development of a complete MIMO (Multiple Input Multiple Output) model for the autonomous part of the Navigational System of an underwater Remotely Operated Vehicle (ROV). Underwater ROVs are robotic systems that are submersible. They are used to observe the Depths of large water bodies by operators from shore. In this paper the objective is to develop a model of the navigational system of the ROV using MATLAB/Simulink. The navigational system is used for autonomous navigation of an underwater ROV. The model is useful to test and modify the various control parameters without having to perform physical tests on the ROV. © 2022 IEEE.

School of Electronics & Communication Engineering

2022 International Conference for Advancement in Technology, ICONAT 2022

MIMO Model Development of the Navigational System of an Underwater ROV

Automation technology plays an increasingly major role in providing higher efficiency in almost all fields of knowledge. One of the sectors of automation is Robotics, which involves building mechanical and electronic structures that would run on computer codes. These codes with technical advancement can further be upgraded to machine learning and artificial information algorithms. Robotics has the potential to bridge the gap between the physical and the cybernetic world. The prime objective of this paper is to put forward a robot that can increase the productivity and efficiency of an operation besides minimizing the efforts, time, and labor. Alongside, the arm also ensures the safety of the operator. The paper initially discusses the basics of robots and a few significant terminologies related to them. There are diverse ways to control a robot, one of them being gesture control. The researcher proposes to build a robot that is controlled by hand gestures using the Inertial Measurement Unit sensors. Further, a discussion is also made on the mechanical design with CAD modeling, electronic systems, and code for controlling the robotic arm with sensor inputs. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Lecture Notes in Mechanical Engineering

Gesture Controlled 3D-Printed Robotic Arm Using IMU Sensors

Green synthesis process has been developed to produce MgO nanoparticles using wet chemical method. In this process, Madhuca longifolia (M. longifolia) flower extracts has been used as a reducing and stabilizing agent and magnesium nitrate hexahydrate is used as a metal precursor. This study exhibits the effect of varied concentrations of metal precursors and flower extracts on the shape and size of the MgO nanoparticles. FTIR, UV vis spectroscopy, SEM, EDS and HRTEM analysis have been carried out to identify the functional groups involved in the reduction process, confirmation of MgO nanoparticles, morphological and elemental analysis of the MgO nanoparticles respectively. The results confirmed the presence of spherical MgO nanoparticles decorated over the surface of MgO microclusters. It is observed that the varying concentration of flower extracts and precursor have a profound effect on morphology of the nanoparticles resulting in the decrease in cluster size with the increase in extract concentration. The nanoparticles were also tested for the presence of antibacterial activity against the bacterial species of Escherichia coli and Staphylococcus aureus. © 2022 Taylor & Francis Group, LLC.