International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control EngineeringA monthly Peer-reviewed & Refereed journal
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
Speed control of stepper motors for use in laboratory animal devices
Shahin Rouhi, Sahar Kiani
DOI: 10.17148/IJIREEICE.2023.111101
Abstract: Stepper motors are the most commonly used motors for all devices that require precise displacement or movement. Among these devices, motorized wheels and treadmills are designed for small laboratory animals and their speed requires adjustment in revolution per minute (RPM) mode. In this study, an Arduino code is introduced to control a stepper motor speed in RPM mode. This software has the ability to set the speed of the motor between 1 and 30 RPM. Additionally, an Android application has been developed for controlling the rotational time of stepper motors. In current study, all codes and Arduino-based circuits were evaluated using a homemade motorized wheel for rat and mice.
A systematic review of Artificial Intelligence based Traffic Flow Prediction System
Om Mohite, Pranit Jadhav, Sagar Gite, Sudhir B. Lande
DOI: 10.17148/IJIREEICE.2023.111102
Abstract: The Traffic Flow Prediction System using Artificial Intelligence represents a ground breaking solution to the escalating challenges posed by urban traffic congestion. Traditional traffic forecasting methods often struggle to accommodate the complexity of real- world traffic dynamics, necessitating a paradigm shift. In response, this project introduces an innovative framework that harnesses the capabilities of Artificial Intelligence (AI) to transform transportation management. By fusing machine learning and deep learning methodologies, the proposed system adeptly analyses an amalgamation of data sources. These encompass historical traffic patterns, meteorological conditions. These intricate data orchestration facilitates the system in generating accurate predictions about impending traffic conditions. The predictions, in turn, empower commuters with informed decision-making capabilities and enable traffic managers to implement proactive strategies for congestion mitigation. The system's holistic architecture encompasses multifaceted phases, including data aggregation, preprocessing, training AI models, real-time data assimilation, and the visual rendering of predictions. The amalgamation of these phases culminates in a sophisticated AI- powered tool capable of revolutionizing urban commuting By empowering stakeholders with timely insights and predictions, this system aspires to navigate the intricate web of urban traffic dynamics, fostering enhanced mobility and efficiency within city landscapes
Smart & Decentralized Blockchain Based E-Voting System
Hemant Dange, Rishikesh Kulkarni, Swaroop Kulkarni, Dr. Sudhir B. Lande
DOI: 10.17148/IJIREEICE.2023.111103
Abstract: In modern era of digitalization, the need for secure and transparent electoral processes has become paramount. Traditional methods used for voting have challenges like transparency for user, ensure safety and accessibility. Blockchain technologies deals with such problem, it is a prominent solution to these problems. This abstract presents idea of smart and decentralized voting system using blockchain, which transforms election process by utilizing the decentralized and unchangeable characteristics of blockchain technology. This proposed system employs distributed ledger on a blockchain network to store and verify voting transactions. Voters are provided with a secure digital identity and access to the voting platform, which utilizes cryptographic techniques to safeguard the privacy and authenticity of their vote. Blockchain ledger records each vote as a rigged-free transaction, makes it almost impossible for unauthorized parties to manipulate the results.
The blockchain technology makes sure that there remains transparency and audibility for verifiable and trustable election result. It provides real-time access to the results for all stakeholders, increasing the integrity of the election process. Furthermore, the process can facilitate remote voting, thereby increasing accessibility and participation, especially for geographically distant or disabled voters. This abstract highlights the advantage benefits of a smart and decentralized voting system using blockchain, like enhanced security, transparency and accessibility, while acknowledging the importance of addressing challenges related to identity verification, scalability and user friendliness. Adoption for such a system has capability of reshaping such methods in which election is held, encourage belief and assurity in the democratic system.
Prof. Abhijit Kalbande, Mr. Om D. Takey, Mr. Akshay S. Lande, Raj S. Rathod, Vishal B. Dhanokar, Saurabh K. Aage
DOI: 10.17148/IJIREEICE.2023.111104
Abstract: This integrated platform aims to enhance medication adherence and provide users with valuable information to make informed decisions about their medications. The project's first component is a time reminder system, designed to help users adhere to their medication schedules. Users can input their prescribed medication regimen, and the system will send them timely reminders via notifications or emails, ensuring that they take their pills at the right times. The second aspect of the project involves a comparison tool for generic and branded medicines. This feature empowers users with information to make choices that balance cost effectiveness and quality. The tool will display a side-by-side comparison of generic and branded versions of a medication, highlighting differences in composition, efficacy, and cost. Users can thus make educated decisions based on their preferences and medical needs. Lastly, the project integrates a chatbot for medicinal assistance. The chatbot serves as a virtual healthcare assistant, offering users a platform to ask questions, seek guidance, and gain insights about various medications. Users can interact with the chatbot in real-time, receiving personalized responses based on their queries. The chatbot can provide information about drug interactions, potential side effects, usage instructions, and more, contributing to users' overall medication knowledge and safety.
Prof. Abhijit Kalbande, Mr. Shreyash Gupta, Mr. Kantesh Murade, Mr. Shardul Tidke, Mr. Deep Agashe
DOI: 10.17148/IJIREEICE.2023.111105
Abstract: A Voice Assistant is one of the hot topics in the current world that are programs that listens to humanβs verbal command and respond to them which makes it a human computer/ device interaction. In the current days, a voice assistant is everywhere which is a lot useful in these busy days. Nowadays, almost everyone in the current world is using voice assistant because itβs everywhere starting from Google smartphone assistant which even 5 years old kids will know how to use because of the current world pandemic which makes them use smartphones till Amazon's Alexa which will be very useful to do works starting from entertaining the users till turning on and off the household products (Internet of Things). One of the greatest features is that it will be very useful to even physically challenged people, for example, people who aren't able to walk use the Internet of Things (IoT) feature to operate the household products and maintain them. So, we tend to develop a voice assistant which will be very useful to the users same as the other voice assistants which are currently in the world.
Keywords: Internet of Things, Artificial Intelligent, Virtual assistant, Arduino, raspberry pi.
GENDER DIFFERENCES IN ANXIETY BETWEEN MALE AND FEMALE HANDBALL PLAYERS
Dr. Satyajeet Pagare
DOI: 10.17148/IJIREEICE.2023.111106
Abstract: Some anxiety can be beneficial to our health, motivating us to complete difficult tasks or helping us stay prepared and protect us from danger. However, long-term anxiety can be detrimental to sports performance , especially if it reaches the point where we cannot function normally. The primary aim of the research is to compare the Anxiety between male and female state level Handball players. Total 50 male and 50 female handball players were selected as a subject for the present study. Their age ranged from 21 to 28 years. Data was collected individually through a Sport Competition Anxiety Test (SCAT) from male handball and 50 female handball Players. To analyze the data mean scores, standard deviation and t-ratio were used to comprise anxiety behavior between male and female handball Players. reveals that the significance difference was found out in (t= P< 0.5) Male and female Handball players, Male Handball players having more anxious as compared to female Handball players.
IoT Enabled Respiratory Sensing Device for Asthma Curing Game for Children
Dr.M.S.Nidhya, Dr.JayanthilaDevi
DOI: 10.17148/IJIREEICE.2023.111107
Abstract: Effective self-regulation is crucial for achieving optimal asthma management. However, individuals with asthma sometimes completely stop participating in sports and fail to follow the guidance provided by their doctor during a visit. To optimize asthma management, it is important to promote consistent physical activity and foster asthma education among both asthma patients and their parents. The objective of the project is to develop an engaging and authentic game situated in a hospital environment to assist asthmatic patients in effectively managing their illness. The airflow sensor is linked to the NODE MCU, which processes the sensor data. The NODE MCU then records the processed data in the IoT database. The primary objective of this game is to generate interest among asthma patients by tracking and visualizing their growing breathing levels. This would facilitate physicians in readily monitoring the health of asthma patients.
Keywords: Raspberry Pi, IoT, Respiration sensor, Temperature Sensor, Heartbeat Sensor, Game Level