MPSTME Monday Morning Chronicle 14th February 2022

 Research 

     Padmanabha Aital, Rajesh Patil (Technology Management Department) published a paper “Industry 4.0: an overview and further research directions” in ICT Analysis & Applications by Springer Nature, Singapore (Scopus). The paper discusses the emerging industrial scenario based on convergence of many technologies to aid in development of Cyberphysical (CP) Systems which usher the age of fourth Industrial revolution (IND 4.0). All key technologies abetting Industry 4.0 are discussed with socio-economic impact on future  companies & Industries. The paper takes the reader through the research conducted in the key technology areas with respect to industrial revolutions in the past along with how research in these technologies is shaping  up new industrial revolution (IND.4.0). https://link.springer.com/book/10.1007/978-981-16-5655-2?page=1#toc

 

●       Yashodhan Karulkar,  Gautam Iyer, Anshika Gupta and Mahendra Parihar (Technology Management Department) published a paper titled “Computing the Effect of Brand Passion on Consumer Behaviour” in The International Conference On Global Economic Revolutions (Scopus) In this paper an attempt is being made to analyse brand passion impacts on the consumer’s choice about a particular product and also analyse how a consumer who is passionate about a particular product can promote various other factors of brand. Hence, for current study we have chosen particularly APPLE because consumers connect highly with APPLE as a lifestyle statement.  https://link.springer.com/chapter/10.1007/978-3-030-93464-4_56

 

●       Nagendra Verma, Sarthak Patil, Bhavya Sinha and Vikram. Kulkarni (Information Technology Department), published a paper titled  "Object Detection for COVID Rules Response and Crowd Analysis" in 2021 Innovations in Power and Advanced Computing Technologies (i-PACT), 2021 jointly organised by VIT Vellore & University of Malaya. The paper proposes, importantly, counting people passing through a particular area, detecting whether people are following social distancing, detecting if the participants are wearing a mask, and counting the number of vehicles passing through an area. All the applications are connected to the graphical user interface (GUD and depending on the input each application proposed considers different analysis. doi:10.1109/i-PACT52855.2021.9697011.

 

●       Ruchi Sharma, Parv Dave and Jay Chaudhary ( Department of Information and Computer Engineering) published a paper titled “OCR for Data Retrieval :An analysis and Machine Learning Application” model for NGO social volunteering as a part of conference proceedings. The paper discusses OCR based application for Automated NGO connect using machine learning. Phases implemented include image de-noising, binarization, data extraction and data conversion. The framework integrates deep learning based OCR with image processing module and Data visualisation module. The proposed model can be extended to other application domains as well for research purposes. 

10.1109/I-SMAC52330.2021.9640890

 

●       Abhay Kumar, Shrishti Bansal, Sanket Chavan, Saachi Kotadia, and Shashwat Shankar published a paper titled “Computing Causality Between Macro-economic Indicators and Indian Financial Markets” in The International Conference On Global Economic Revolutions Numerous studies conducted on emerging market economies have suggested that equity and debt markets truly reflect the economy’s financial health. Macroeconomic events have an influence on financial markets. In order to effectively diversify our portfolio, it is imperative to analyse the various financial market interrelationships. The paper considers the role of macroeconomics indicators in order to understand the dynamics of various interrelationships that exist in financial markets.  https://link.springer.com/chapter/10.1007/978-3-030-93464-4_12

 

●       Mohan Bodkhe (Mechanical Engineering Department) along with Sanjeev Sharma from Amity University authored a research paper titled, "Finite element analysis of copper tube to study the behavior of equivalent strength during the severe plastic deformation process" in Elsevier’s Materials Today Proceedings. (Scopus Indexed). In this paper, Finite Element Modelling is used to depict enhanced perception about the Severe Plastic Deformation process to obtain ultrafine grain material. A 3-dimensional finite element model was built to simulate the copper tube drawing process using Ansys2020R2 software.

Faculty Recognition/Achievements

      Dr. Sunny Nanade (Mechanical Engineering Department, MPSTME) completed a consultancy project from Artisans Soft titled: Designing 3D models and casting of jewellery models. The details of consultancy projects are as follows:  The firm designs jewellery models for a Diamond merchant. They used to make models for website. As the diamond merchant has purchased a 3D printer to make the rings, 3D models of the same needed to be sent. Firm faced issues in casting the 3D printed models. The same was resolved using ProCAST software and a proper flow to the entire process was implemented which benefited them.