| 1 |
Author(s):
Kurhe Snehal Nawale kartik Ahire Karina Mahale pratik Guide name:- Dubhe D.S.
Page No : 1-4
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Survey Paper On Hospital Management System (HMS)
Abstract
An hospital management system was developed to assist the patient at the front of desk of a hospital. The patient will be able to learn about the doctors, appointment times, relevant departments, relevant times, and the specific medicine about his/her medical situation. System will provide an intelligent front desk information services for the patient at the hospital entrance. It will also provide software assistant for the doctor to diagnose easily and rapidly by using the program decision mechanism.
| 2 |
Author(s):
D.P.Gawade.
Page No : 1-4
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Comparative Examination of Mega Bracing and Distinctive Sorts of Combination of Bracing
Abstract
The bracing used to control the structure must have a common communication that can withstand the external force that will play an important role in the construction of the high steel structure. Bracing provides permanent load bearing and sufficient strength. If a combination of supports is used their performance will be combined. Different support types such as X&V support, V&Vlike support, K&X support and Mega support are used together in the building. Analysis software E'Tabs is used to describe the 18storey steel frame structure using the static balance method. Response spectrum method Reference IS1893:2016 refers to wind analysis IS875(part3):2015 and the layers move in different directions. Both studies, such as bracing structures with composite systems, explain that this system shows better seismic resistance than other support methods
| 3 |
Author(s):
Kurhe Snehal, Nawale kartik, Ahire Karina, Mahale pratik, Dubhe D.S.
Page No : 1-5
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Hospital Management System
Abstract
Here web based technology offers many
online services in almost every field. Almost everything
can be done online which help to reduce the amount of
tasks, cost, and efforts. The paper describes about an idea
of such a web based platform that make many
medical/hospital procedures online using Web,
networking technology that can be very important in
implementing the functionality of online medical
management. This will help in management of patients,
managing the schedules of the doctors, maintaining the
records of patients which can be accessed throughout
hospital. Storing, managing, communicating, analyzing
and updating the patient details online. Thus by
implementing this web based application using
customizedapplicationprogramming we can manage
many tasks that are usually time consuming and
inconvenient
| 4 |
Author(s):
Prof. Sunil Madhukar Mahajan, 2 Ghrushnesh Aniruddha Bhandari, 3 Rushabh Vijay Ghatborikar, 4 Saurabh Pandey, 5 Prathamesh Balasaheb Aher, .
Page No : 1-7
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DESIGN AND DEVELOPMENT OF 3D PRINTED ROBOTIC ARM FOR PAINTING APPLICATION
Abstract
Abstract: In the current scenario machines and robots are playing an important role in the automation industry. This paper is presenting the process through which 3D Printed robotic arm is made with the help of Arduino and Potentiometer for controlling and coordinating the industrial processes. Here, we realize that the 3D Printed robotic arm has the ability to move in four directions with the help of servo motors. The movement of servo motor, UNO is responsible which converts the analog signal into the digital signal which is further received by servo motor. This project discuss about the technical imputation, the issue related with the implications and application of 3D Printed robotic arm in the field of automation of industries. It can be used as a artificial arm for a human who have lost his hand in any accident.
| 5 |
Author(s):
Akshada balasaheb sonawane 1 , Nayana Vilas deure 2 , Nisha Sitaram Bagade3, Priyanka Sunil jadhav4, Dr.B.S . Shirole5.
Page No : 1-7
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Image based Bird Species Identification using Convolutional Neural Network
Abstract
Life's routine tempo appears to be rapid and energetic
and includes diverse tasks. Bird-watching is a popular hobby
which offers relaxation in everyday life. Innumerable people visit
bird sanctuaries to observe the elegance of different species of
birds. To provide birdwatchers with a convenient tool for
identifying the birds in their natural habitat, we developed a Deep
Learning model to help birders recognize 60 bird species. We
implemented this model to extract information from bird images
using the Convolutional Neural Network (CNN) algorithm. We
gathered a dataset of our own using Microsoft’s Bing Image
Search API v7. We created an 80:20 random split of the data. The
classification accuracy rateof CNN on the training set was
observed to be 93.19%. The accuracy on testing set was observed
to be 84.91%. The entire experimental research was carried out on
Windows 1
| 6 |
Author(s):
Dr. M. Rajagopal.
Page No : 1-10
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OPTIMISING PHASE CHANGE MATERIALS USING ARTIFICIAL INTELLIGENCE FOR THERMAL ENERGY STORAGE
Abstract
Artificial intelligence (AI) is increasingly being integrated into thermal management systems that use phase change materials (PCMs) to enhance energy efficiency and temperature control. AI can analyze large datasets from thermal management systems, identifying patterns and correlations that traditional methods might miss. Machine learning algorithms can predict how PCMs will behave under different conditions, optimizing their performance for applications like building energy management, thermal energy storage, and electronics cooling. AI models can simulate the thermal behavior of PCMs in real time. This allows for dynamic adjustments to thermal systems, ensuring optimal temperatures are maintained and preventing overheating or excessive cooling. By utilizing AI-driven algorithms, researchers can optimize the formulation of PCMs, enhancing their thermal properties such as melting and solidification temperatures. This can lead to improved energy efficiency in various applications. AI can be used to monitor the health of thermal management systems utilizing PCMs. By analyzing operational data, AI can predict failures or inefficiencies, allowing for timely maintenance and reducing downtime. AI can assist in energy demand forecasting, helping to manage the use of PCMs in systems like solar thermal energy storage. Predictive analytics can optimize charging and discharging cycles based on expected energy consumption patterns. AI can enhance control strategies for systems using PCMs, enabling more responsive and adaptive management based on real-time conditions and forecasts. This ensures maximum efficiency and performance of thermal management systems. AI can work alongside Internet of Things (IoT) technologies to gather real-time data from various sensors in thermal management systems. This integration allows for more sophisticated predictive analytics and decision-making.
| 7 |
Author(s):
Grishm Ghosh.
Page No : 1-11
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What effect does language have on human behavior?
Abstract
This research explores the role of slang in human behavior and communications, including its influence on communication dynamics, social settings, and identity formation. Combining survey, interview, and observation methods, we assess how patterns of slang talk build attitudes, emotions, and relationships across a multitude of demographic populations. Our findings suggest that slang serves as an effective means of in-group identification and group solidarity, enhancing group cohesion but potentially excluding outsiders. Mastery over appropriate slang can significantly affect a person's perceived social status and opens up specific kinds of access to cultural situations. Informal and creative, slang use makes individual expression creative while inventing and reproducing social norms. We also examine how digital communication media fuel the growth and spread of slang, helping foster general language trends. The research will study the contradictory character of slang: it invests language with novel meanings as well as intense culture, but it can also help perpetuate social cleavages and misunderstandings. These findings seem to give ways of thinking regarding the complicated relationship between language and behavior; findings have proved to provide implications to sociolinguistics and cultural studies, along with social psychology. Research is suggested to be done in order to find out what longer-term consequences slang might have on cross-cultural communication and cognitive processes. Keywords: slang, human behavior, communication, social identity, group dynamics, language evolution, sociolinguistics, cultural context
| 8 |
Author(s):
Dr.Mukund Tripathi, Aashi Dave ,Aarav Mehra ,Chhavi Jaiswal ,Areez Mistry.
Page No : 1-13
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Fabrics of Growth: A comprehensive Study of the current Textile landscape in India
Abstract
India's considerable textile industry, which makes a substantial GDP contribution, must contend with challenges like sustainability and international competition. This report looks at its benefits, drawbacks, and future potential. The primary focus of the recommendations is on the government's support of worker development, technological innovation, domestic production, and market diversification. To maintain the industry's leadership in the global textile market and for the long run, it is imperative that these innovations are accepted.
| 9 |
Author(s):
M. Varshini.
Page No : 1-57
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FIRE SECURE USING CHAIN MECHANISM AND IoT
Abstract
- Fire alarm systems play a critical role in safeguarding lives and property by providing early warnings in the event of a fire outbreak. However, traditional fire alarm systems often involve complex wiring and installation procedures, which can be daunting for users and deter them from implementing such safety measures in their homes. To address this challenge, we propose an innovative solution: an Internet of Things (IoT) based wireless fire alarm system designed for easy installation and operation. The core of our proposed system is an ad-hoc network distributed throughout the house, comprising microcontrollers such as the ESP8266 NodeMCU. These microcontrollers are equipped with infrared flame sensors, continuously monitoring the surrounding environment for signs of fire. Importantly, the microcontrollers establish their own Wi-Fi network, enabling seamless communication and coordination within the system. When a fire is detected by any sensor within the network, a signal is promptly transmitted to the corresponding microcontroller. This triggers a series of predefined actions, including sending an SMS alert to the user, initiating a phone call to notify them of the emergency, and activating a local alarm within the house to alert occupants. Additionally, users can proactively query the system for real-time updates on their home's status by sending an SMS command. To validate the efficacy of our proposed system, we developed a prototype and conducted rigorous testing. The prototype successfully demonstrated all desired functionalities, achieving rapid response times with an average delay of less than 30 seconds. Through this innovative IoT solution, we aim to empower users with a reliable and user-friendly fire alarm system that enhances home safety and peace of mind.