PRATIBODH

MOTORCYCLE E-RIDE HAILING SERVICES IN BANGLADESH BY ANALYZING STRUCTURAL EQUATION MODELLING APPROACH

Pratibodh - Journal Editor — 2024-06-01

Dhaka, the capital of Bangladesh, is the maximum densely populated town in the world. It is currently experiencing a lot
of traffic problems. As a result, the insufficiency of public transportation and reliance on private vehicles have been
cited as the two main causes of traffic congestion. In today's world, ride-hailing services are becoming increasingly
popular in both developed and developing nations. As a result, academic researchers, businesspeople, innovators,
policymakers, and innovators are more interested in this ride-sharing service and its effects on economies. The
objective of this study is as follows: first, to find out the current situation of motorcycle ride-hailing services; second, to
evaluate the e-ride hailing service quality and limitations motorcycle e-ride hailing services; and third, to provide
appropriate recommendations for future ride-hailing in Bangladesh. A questionnaire survey was conducted in different
locations in Dhaka city from 300 respondents. Half of the respondents were 25 to 34 years old and most of the users are
male also highly educated people who use e-ride hailing of their rides. Based on the research Pathao and Uber lead the
e-ride hailing business in Bangladesh and 62% of respondents said use Occasionally e-ride hailing. The e-ride-hailing
users’ overall satisfaction was analyzed by a structural equation model towards user socio-demographics profile, user
characteristics, quality of service, and limitation of e-ride hailing. Along with the stated preference, the effect of five
latent variables driver, service, safety, economic, and management analyzed on service quality and limitations of e-ride
haling Helmet quality are the most significant variables observed from the best model, developed by using SEM and
without the economic unobserved variable, practically all values from the SEM are significant coefficients and have
positive signs. It indicates that Dhaka city residents who use ride-hailing services on motorbikes are dissatisfied with
the cost of the service. This

Energy Performance Analysis Using eQuest Sotware

Pratibodh - Journal Editor — 2024-06-01

This project presents a comprehensive analysis of building energy performance through modeling and simulation of
JECRC College B Block using eQUEST Software. The study aims to compare the energy consumption of the standard
baseline building with the proposed design, focusing on evaluating the effectiveness of energy efficiency measures and
assessing compliance with the Energy Conservation Building Code (ECBC) standards. Key objectives include optimizing
energy usage, enhancing sustainability, and identifying opportunities for improvement in building design.

Design and Development of IOT Based Sustainable Multifunctional Machine

Pratibodh - Journal Editor — 2024-06-01

Automated floor cleaning machines and grass cutting machines are commonly used in developed countries since many
years because of high cost of labor, time, efforts and affordability. The concept is not popular in developing or emerging
economic countries. Reasons for non-popularity are cost of machine and operational charges in terms of power tariff.
This project is based upon on our innovation to design, develop and manufacture semi- automatic floor cleaning and
grass cutting machine which will work on solar energy, battery or electricity. This machine is multifunctional. Four
functions of cleaning like mopping, drying, wiping, grass cutting, can be performed using this machine. This
multifunctional machine having advantages like less energy consumption machine as well as operational cost reduction,
reduce the human effort, environment friendly and easy to handle. Base of the paper was to use renewable energy
which Is abundant in most of the countries, will have less environmental impact and easy to construct for commercial
scale in future..

Condition Monitoring & Fault Diagnosis of Electric Vehicle

Pratibodh - Journal Editor — 2024-06-01

The advent of electric vehicles (EVs) has revolutionized the automotive industry, offering environmentally friendly and
sustainable transportation solutions. However, ensuring the reliability, safety and optimal performance of EVs
necessitates a robust approach to condition monitoring and fault diagnosis. This review paper comprehensively
explores the significance, challenges, advancements and potential solutions in this critical domain. EVs' intricate
systems, including battery packs, electric motors, power electronics and auxiliary components, underscore the
importance of proactive maintenance strategies. Drawing from model-based, data-driven and hybrid approaches, the
paper scrutinizes methodologies for fault detection and intervention. The pivotal role of data acquisition and processing
techniques, such as signal processing, machine learning and artificial intelligence, is emphasized in enhancing diagnostic
accuracy and predictive maintenance capabilities. Challenges stemming from the complexity of EV systems and unique
component behaviors are delineated, while solutions like integrated diagnostic platforms, predictive analytics and
quantum computing are highlighted. Collaboration among stakeholders, standardization and technician training emerge
as key enablers in addressing challenges and maximizing the benefits of EVs. As the electric mobility landscape evolves,
this review paper serves as a comprehensive guide for researchers, manufacturers and technicians, charting the course
toward safer, more reliable and sustainable electric transportation..

IoT based Paralysis Patient Monitoring System

Pratibodh - Journal Editor — 2024-06-01

The IoT-based Monitoring System presented in this project aims to address the specific needs of individuals. This
system integrates various hardware components, including Arduino Uno microcontroller, MPU6050 accelerometer and
gyroscope sensor, LM35 temperature sensor, LCD display, and pulse sensor, to enable remote monitoring of vital signs
such as heart rate, blood pressure, respiration rate, and body temperature..

Design And Analysis Of Automatic Precomposting Machine For Organic Waste

Pratibodh - Journal Editor — 2024-06-01

The generation of vast quantities of solid waste has exponentially increased in the past decades owing to rapidly
growing population, changing consumption patterns and improper disposal. The existing process for collection,
transportation, and disposal, as an integral part of solid waste management, is under undue stress. Hence improper
disposal of solid waste poses a huge risk to public health. Also, a considerable cost is incurred in the collection,
transportation, and food composting of organic household waste.
Food Composting is now seen as the go to way to a sustainable and eco-friendly environment. Organic food waste
composting, a type of natural food waste decomposition process, is carried out under controlled aerobic conditions
whereby food wastes are being broken down into their simplest components by microorganisms. Aeration, water
retention capacity of the soil is enhanced due to the composting process. Reducing the mass and volume of kitchen
waste at the point of collection can diminish transport requirements and associated costs, while also leading to the
generation of a stable compost.
Thus, we plan to present the study, design and realization of a new composter designed to convert the residue food and
all types of organic waste to obtain a mature compost with high quality. The products obtained will be pre-compost (can
be extracted at the early stage if required) and mature compost. The process is fully automated, equipped with sensors,
it consists of several steps under controlled environmental conditions (i.e., temperature, humidity) to fasten the
process.