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

Mobile ad hoc networks (MANETs) routing is a very challenging task because of the dynamic nature of the network. The linking of provisional communication assures based on the infrastructure of MANET, however, there is no centralised monitoring process for making the routing in MANETs in terms of trust and security. Therefore, the stability routing is not considered, which may break easily in dynamic MANETs. Thus, this paper introduces a trustbased secure routing protocol using the proposed atom whale optimisation algorithm (AWOA), which is the trust-aware routing protocol. The developed atom whale optimisation is utilised to select the optimal route with respect to the trust factors, like average encounter rate (AER), and successful cooperation frequency (SCF), integrity factor, and the forwarding rate. Moreover, secure routing is performed between the nodes using the proposed AWOA. The AWOA is the integration of atom search optimisation (ASO), and whale optimisation algorithm (WOA) that inherits the faster global convergence. The fitness function is newly modelled considering mobility, and trust factors. The proposed AWOA outperformed other methods with a minimal end-to-end delay of 0.0083 sec, maximal packet delivery ratio (PDR) of 97.73%, and the maximal throughput of 85.05% respectively.

World University root node

School of Computer Engineering & Technology

International Journal of Communication Networks and Distributed Systems

Optimisation driven-based secure routing in MANET using atom whale optimisation algorithm

School of Electronics & Communication Engineering

Wireless Networks

Optimal performance of resource allocation in LTE-A for heterogeneous cellular network

Ferro-cement, also known as Ferrocement, was invented in 1848 by a Frenchman named Joseph Louis. Ferro-cement is a type of thin reinforced concrete that is made up of a large number of small diameter wire meshes that are distributed uniformly throughout the cross-section and cement mortar. It is a highly versatile material with a wide range of engineering properties including flexural strength, toughness, fatigue resistance, impact resistance, and crack resistance. It is suitable for precast structural components such as walls, floors, roofs, beams, slabs, water, and soil retaining structures, as well as repair work. It can be fabricated into any desired shape or structural configuration than standard masonry, RCC, or steel cannot. It is a low-carbon footprint, a sustainable construction material that emits less carbon than standard reinforced concrete masonry. For developing countries with a high demand for housing, ferrocement can be a cost-effective alternative to traditional construction materials. The most innovative invention in the concrete family and composite materials is ferrocement, which can conserve resources, save energy, protect the environment, and reduce human efforts. The most innovative invention in the concrete family and composite materials is ferrocement, which can conserve resources, save energy, protect the environment, and reduce human efforts. The modern ferrocement system for green housing has demonstrated high standards of energy efficiency in housing construction. The ferrocement technique can create extremely energy-efficient homes. It is seen that with thermal insulation installed as part of the construction panels, high levels of thermal performance are achieved, resulting in a reduction in CO2 emissions (Wail N Al Rifaie 2019).In developing countries where there is a high demand for housing, ferrocement can be an effective and low-cost alternative construction material. Ferrocement is long-lasting and cost-effective due to locally available materials and the availability of cheap labor in developing countries. The primary goal of this research is to propose a low-cost house using ferrocement technology, which will reduce the cost of housing projects to the point where they are affordable to people living in slums and will aid in the removal of slum areas from urban development. This research paper also includes quality control parameters.

School of Civil Engineering

GIS SCIENCE JOURNAL

Ferrocement: Cost-Effective &amp; Sustainable Construction Material for Low-Cost Urban Housing in India.

The Indian construction industry still follows the primeval work pattern which generates low productivity, poor management in resources, poor waste management, lower quality, high energy consumption, over budgeting and time overrun, etc. Though the abovementioned problems need noteworthy thought and time, increased emphasis must be given to new project management strategies so the Indian growth story doesn’t meet a hasty end. As construction is a physically demanding work environment, site workers are often at risk of long-term injury. This study focuses on the poor ergonomics is likely to result in a loss of worker productivity, higher rates of lost workdays through illness, a lack of staff morale and motivation, and increase employee turnover. The ergonomics improvement process systematically identifies ergonomic hazards and puts in place engineering and administrative control measures to quantifiably reduce risk factors. The purpose of this research is to provide proper guidelines &amp; education about risk and right posture to workers is given by carrying out workshop &amp; training program on-site is necessary for workers. Use of software platforms like Ansys software for analysis.

Turkish Journal of Computer and Mathematics Education (TURCOMAT)

Application of Ergonomics Principles in Construction Industry in Indian Scenario

In recent years the construction industry has adopted the method of fast track construction in which maximum possible project activity can be performed simultaneously to reduce time and increase productivity but small information inaccessibility can cause work stoppage resulting in cost and time overruns. Where the design and execution take placed at the same instance, to provide accurate documented information in the form of design drawings, technical datasheets, costing, quality, safety, contracts, materials and standards which are required for seamless progression of project a proper documentation framework is required between multiple project stakeholders. In the research paper the study is aimed towards the document generation, approval, and distribution cycle between stakeholders for seamless documented information flow with a document tracing process and digital document storage and accessibility scheme for the fast track project documentation and its management.

<a href="https://drive.google.com/file/d/1nIpO69wwrqxI-hcRR6ZMBMjd00YoOjLF/view?usp=sharing">Project Documentation And Its Management In Fast Track Construction Project</a>

When it comes to launching a new venture or developing an existing one, location is one of the most critical aspects to remember. The right location is important not only for attracting more consumers and increasing profits, but it can also decide whether a company can prosper based on factors such as the existence of competition. We plan to summarize current systems in this survey paper and, based on the research gaps, suggest a new recommendation framework that separates users into: A] Starting New Venture for an Established Business: Using the K-means clustering algorithm to propose locations, analyze the data of market locations with the type of sector where there is a high industry level and average customer ranking. B] Starting a New Business: Using Correlation Analysis between various business sectors to suggest locations using a ranking algorithm, find the best place to start a business where there is strong industry demand and little or very little supply.

An International Scholarly Open Access Journal, Peer-reviewed, Refereed Journal

LOCATION BASED RECOMMENDATION SYSTEM FOR BUSINESS EXPANSION

Retinopathy of Prematurity(ROP) is a disease of the eyeand a potential sourceof blindness in low birth weight preterm infants. It is preventable if diagnosed and treated on time. Artificial Intelligence (AI) has played an important role in developing automated screening systems to assist medical experts. There are many traditional literature review articles available that focus on the scientific content of ROP-AI. The researchers also require a bibliometric analysis to become acquainted with the competing groups and new trends in this field. This paper gives a brief overview of ROP and AI systems for ROP screening with a statistical analysis of the Scopus database's related documents.Keywords:retinopathy of prematurity, deep learning, machine learning, automated, artificial intelligence,bibliometric survey

•	Library Philosophy and Practice

Quantitative analysis of research on Artificial Intelligence in Retinopathy of Prematurity

&lt;!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536869121 1107305727 33554432 0 415 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; text-autospace:none; font-size:10.0pt; font-family:"Cambria Math","serif"; mso-fareast-font-family:"Cambria Math"; mso-bidi-font-family:"Cambria Math"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;} .MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:Calibri; mso-fareast-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} .MsoPapDefault {mso-style-type:export-only; margin-bottom:10.0pt; line-height:115%;} @page WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.WordSection1 {page:WordSection1;} --&gt; “MODI lipi” is one of the ancient scripts of Western India. Considerable work has been reported for various other ancient Indian languages except MODI lipi. Its structural characteristics and non-availability of image database make MODI recognition challenging. The work reported in this paper comprises creation of an image dataset for MODI handwritten characters and the development of a supervised Transfer Learning (TL) based classification framework. It makes use of Deep Convolutional Neural Networks (DCNN) Alexnet as a pre-trained network to transfer weights to retrain the network. This network is used as a feature extractor to extract features from different layers of the network. A Support Vector Machine (SVM) is trained on activation features to obtain classifier models. These models are investigated further for recognition accuracy and feature analysis. Subjective and objective measures are used to select discriminant deep features. We achieved recognition accuracies of 92.32% and 97.25% for Handwritten MODI character recognition and handwritten Devnagari character recognition respectively.

IETE Journal of Research

Handwritten MODI Character Recognition Using Transfer Learning with Discriminant Feature Analysis

Video Analytics analyzes the video content and adds brains to eyes that is analytics to camera. It extracts contents from the video by monitoring the video in real time. Normal and Abnormal human activity detection using deep learning models is a challenging task in computer vision. The detection of the same will help in detecting crime scenes which will help in preventing treacherous actions Proposed method focuses on classifying normal activities for humans in real time scenarios. The pre-processing technique for redundant frame detection, elimination and training the model efficiently using Convolutional Neural Network for classifying the activities is the main research contribution. Proposed method shows improvement in accuracy as compared to reference method which can be further implemented for on edge embedded platforms for real time applications

International Journal of Next-Generation Computing

Enhanced video analysis framework for action detection using deep learning

In Telecom Industry customer churn is a big issue and one that impacts their revenue. When customers start to leave a service or subscription, it increases the expenditure for these companies. Businesses have found that acquiring new customers costs them nearly six times more money than retaining existing ones. Therefore, preventing customer churn becomes important when companies are trying to grow their business. The analysis of Customer Behaviour using Machine Learning techniques does provide an effective solution to the problem by predicting which customers are more likely to leave the service or subscription. Predictive analysis of customer behavior not only helps companies fix issues with their service but also helps them add new features and products so as to keep the customer engaged. The present work provides an overview of the latest works in the field of Customer Churn prediction. Our aim is to provide a simple path to make the future development of novel Churn prediction approaches easier.