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VOLUME 12, ISSUE 7, JULY 2024
AI in Genomic Data Analysis for Drug Development
Shanavaz Mohammed
AN EMPIRICAL STUDY OF COMMON CAUSES OF INJURIES IN FOOTBALL
Kuljeet Singh, Sinku Kumar Singh
IMPACT OF AEROBIC EXERCISE ON BODY COMPOSITIONS AND CARDIO-RESPIRATORY FITNESS AMONG SEDENTARY STUDENTS
Ramakant D. Bansode, Chandrakant Karad
Electrical Energy Scenario INDIA 2024
Amit Attri, Ved Prakash, Devender Kumar, Divya
Cooling techniques for cutting-edge photovoltaic modules
Dr.A.Gowthaman, Dr.Mohammadha Hussaini, Dr.P.Govindasamy
INNOVATIVE INTEGRATION OF LOW POWER, LOW NOISE AMPLIFIER (LNA)& DACFOR HIGH-PERFORMANCE CLOSED LOOP DEEP BRAIN NEURO-STIMULATOR (CDBS)USING CADENCE VIRTUOSO
Mr. Santhosh B G, Ms. Deepika V B
IoT Based EV Wireless Charging Station
Sandeep S, Monika H V, Siju Chacko, Swati Kulal
Role of OEM in Automotive OS platform
Lovely Gaur, Rajitha T. B., Srilakshmi Inampudi, Kavita Sawant
‘‘USING ANTI-PARALLEL VOLTAGE SOURCES, A LOW-POWER MULTILAYER INVERTER WITH FEWER SWITCHES’’
RATHINAM.A, YASHICA.M, RAJA.M
Automation of Integrated Circuit Parameters Measurement using LabVIEW
Nishanth G S, SuryaTej Y S, Vishnu Prasad R, Vishwanath, Priyadarshini Jainapur
HEART ATTACK, ALCOHOL DETECTION AND MONITORING IN SMART TRANSPORTATION SYSTEM
Dhanamma, Mahesha G, Shreekanth, Priyadarshini Jainapur
Next gen assistive technology smart glove for blind
Chethan B G, Madhusoodhan C, Surya R, Poornima kamath K
Comparative Overview of Compressed Natural Gas Vehicle (CNGV) and Electric Vehicle (EV)
Dr. B. Prakash Ayyappan, Mr. B. Reuben, Mrs. S. Saranya, Ms. S. Ruckmani, M. Parveen Banu
PROGRAMMABLE LOGIC CONTROLLER (PLC) TRAINER KIT FOR VARIOUS POWER SYSTEM APPLICATION
Sumanth B, Neha J, Sneha R, Prasad C K, Dr.Kasi Viswanathan
Agriculture pesticide spraying robot
VINAY GOWDA HA, ROHITH V, SHARAN KT, VINAY BHUSHANNAVAR
IOT Cloud Based-ECG Monitoring System
Abhishek k, Chethan K S, Gouri Maresh, Shamsheer, Mrs. Rashmi Pattan
Water Quality Control for Clever Watering with Arduino UNO
Tejas Sai.S, Kundan, Syed Umar, Lingraj
DC MOTOR SPEED AND DIRECTION CONTROL
Divya S, Praphulla J, Rajesh Babu BR, Rakshith Gowda, Monica K M
Abstract
AI in Genomic Data Analysis for Drug Development
Shanavaz Mohammed
DOI: 10.17148/IJIREEICE.2024.12701
Abstract: The drug development industry has greatly benefitted from the application of artificial intelligence (AI) in genomic data analysis. Genomic data is useful in understanding diseases genetics as well as in making drugs to counter the diseases. However, this process is quite challenging as it requires a lot of data and analysis which makes the process complex. This aspect of the study made the process to be time-consuming and quite resource intensive which necessitated a better and more efficient tool for analysis. AI has advanced machine learning and deep learning algorithms that enable it to be an effective option in the process. AI offers great solutions for processing large sets of data with efficient and accurate outcomes. As such, the drug development industry has benefited from reduced costs, saving time, and accurate and more effective research data. It has also ensured that therapies are tailor-made for the patients, including making appropriate treatments for the specific genetic profile, ensuring better treatment outcomes. It is therefore without doubt that artificial intelligence has been a great transformative force in the industry and continues to facilitate innovation and advancement in the process.
Keywords: Genomic data, drug discovery, genetics, machine learning.
Keywords: Genomic data, drug discovery, genetics, machine learning.
Abstract
AN EMPIRICAL STUDY OF COMMON CAUSES OF INJURIES IN FOOTBALL
Kuljeet Singh, Sinku Kumar Singh
DOI: 10.17148/IJIREEICE.2024.12702
Abstract: The primary purpose of the research is to quantify the causes of injuries in elite football players. Total 1000 football players from different states and national level affiliated unites of all India football federation was selected as sample size of the study. The study depends mainly on primary source of data. The data was collected through respondents in the form of Questionnaires from 1000 football players of different Academies, Clubs, States and Universities affiliated to all India football federation separately, investigator contacting footballers personally and some cases at the venue of Inter-varsity, State tournaments. The demographic information was collected through respondents in the form of different descriptive tests. The demographic information about, age, height, weight etc. was obtained before seeking responses. For the present study, modified questionnaires for footballers was utilized after the modification of this questionnaires and the test -retest reliability was found out by the researcher. The results found that 19.34% Football Players reported that they injured due to Tackle. Whereas 15.67% football players reported that they injured due to collision. Furth more, 25.30% Football Players reported that they injured during the Running. More over. 09.50% football players reported that they injure due to Twist.
Keywords: Causes, Football, injuries, Empirical, Common
Keywords: Causes, Football, injuries, Empirical, Common
Abstract
IMPACT OF AEROBIC EXERCISE ON BODY COMPOSITIONS AND CARDIO-RESPIRATORY FITNESS AMONG SEDENTARY STUDENTS
Ramakant D. Bansode, Chandrakant Karad
DOI: 10.17148/IJIREEICE.2024.12703
Abstract: Objective: The primary aim of the research is to find out the effects of Aerobic exercise on. The data was collected through 40 collegiate students in the form of different tests.
Introduction: A sedentary lifestyle is defined as low energy expenditure resulting from prolonged sitting or lying down: working while sitting, watching television, traveling by car, etc. In simple words, it corresponds to the time spent sitting or lying down every day.
Methods The demographic information about, age, height, weight etc. was obtained before seeking training. This study involves a cross sectional, comparative pre and post-test of experimental research, so this study was conducted in an experimental design. Resting heart rate and Respiratory Rate of each subject was recorded before & after training. Physical Exercise programme was design by the investigator and the reliability and validity find out by the researcher on the basis of pilot study. The Physical Exercise programme was planned for 4 days a week 60 minutes in a day for 12 weeks including 10 minutes warm up period and 05 minutes cooling down. the findings of the study revealed that there was insignificant difference of RHR was found between.
Results The findings of the study revealed that there was no significant difference of Cardio-Vascular Endurance was found between pre and post of Control group. the result of the study revealed that there was significant difference of Cardio- Vascular Endurance was found between pre and post of Experimental exercise group. the findings of the study revealed that there was no significant difference of Body Composition was found between pre and post of Control group. , the study indicates that there was significant difference of Body Composition was found between pre and post of among Experimental exercise group.
Keywords: BMI, CRF, Exercise, Fitness
Introduction: A sedentary lifestyle is defined as low energy expenditure resulting from prolonged sitting or lying down: working while sitting, watching television, traveling by car, etc. In simple words, it corresponds to the time spent sitting or lying down every day.
Methods The demographic information about, age, height, weight etc. was obtained before seeking training. This study involves a cross sectional, comparative pre and post-test of experimental research, so this study was conducted in an experimental design. Resting heart rate and Respiratory Rate of each subject was recorded before & after training. Physical Exercise programme was design by the investigator and the reliability and validity find out by the researcher on the basis of pilot study. The Physical Exercise programme was planned for 4 days a week 60 minutes in a day for 12 weeks including 10 minutes warm up period and 05 minutes cooling down. the findings of the study revealed that there was insignificant difference of RHR was found between.
Results The findings of the study revealed that there was no significant difference of Cardio-Vascular Endurance was found between pre and post of Control group. the result of the study revealed that there was significant difference of Cardio- Vascular Endurance was found between pre and post of Experimental exercise group. the findings of the study revealed that there was no significant difference of Body Composition was found between pre and post of Control group. , the study indicates that there was significant difference of Body Composition was found between pre and post of among Experimental exercise group.
Keywords: BMI, CRF, Exercise, Fitness
Abstract
Electrical Energy Scenario INDIA 2024
Amit Attri, Ved Prakash, Devender Kumar, Divya
DOI: 10.17148/IJIREEICE.2024.12704
Abstract: The global energy demand rises day by day with increase in population, industrialization and improvement in living standard of people. An energy source can be renewable or non-renewable. The energy of coal, gas, petroleum products ,nuclear fuels etc. transformed into electrical energy from long period so called conventional sources of energy. But the global energy crisis firmly motivates us to tap the energy from all available sources like small streams , solar light, wind, tidal energy, geothermal energy etc. called non-conventional sources of energy. These sources have been used for a few decades. After a few decades of use the non-conventional source becomes conventional.
Here in this paper we will discuss the energy scenario in India for electricity generation from various conventional and unconventional sources, the installed capacity of various power plants in India and the energy generation share of various energy sources.
Keywords: Non-Conventional energy source, Conventional energy source, Renewable energy.
Here in this paper we will discuss the energy scenario in India for electricity generation from various conventional and unconventional sources, the installed capacity of various power plants in India and the energy generation share of various energy sources.
Keywords: Non-Conventional energy source, Conventional energy source, Renewable energy.
Abstract
Telemedicine: Impact on Pharmaceutical Care
Shanavaz Mohammed
DOI: 10.17148/IJIREEICE.2024.12705
Abstract: The adoption of technology in the pharmaceutical industry has transformed how healthcare providers entirely communicate and deal with patients. Telemedicine for instance, has been able to bridge the geographical gap between patients in rural and remote areas and specialist healthcare providers. It has also been able to facilitate enhanced access to care, improve medical management and improved innovative patient education. Telemedicine has also enabled patient counselling especially where patients are critically ill or have chronic diseases. The benefits of telemedicine in the pharmaceutical industry, such as such as increased accessibility for underserved populations, enhanced medication adherence, and improved patient outcomes, cannot be overlooked. Even with the challenges that face organizations with regards to technology use such as data privacy and data theft, there are high hopes to the continued use of technology aspects such as telemedicine and Electronic Health Records (EHRs) in the pharmaceutical industry.
Keywords: Telepharmacy, Remote Patient Counseling, Electronic Health Records (EHRs), Data Privacy.
Keywords: Telepharmacy, Remote Patient Counseling, Electronic Health Records (EHRs), Data Privacy.
Abstract
Cooling techniques for cutting-edge photovoltaic modules
Dr.A.Gowthaman, Dr.Mohammadha Hussaini, Dr.P.Govindasamy
DOI: 10.17148/IJIREEICE.2024.12706
Abstract: The overall efficiency of solar systems, specifically photovoltaic panels, is typically inadequate. The power generation module's output is significantly impacted by the increase in temperature at its surface. This increase is attributable to the conversion of ingested sunlight into heat, which diminishes the panel's performance, energy efficiency, power output, and lifespan. Implementing cooling techniques may present a viable resolution for mitigating the risk of PV panels overheating and for decreasing cell temperature. This article describes in depth a variety of viable cooling techniques, including innovative and cutting-edge solutions for photovoltaic panels, and forecasts future research directions. This article presents various cooling techniques and their capabilities in order to provide researchers with a deeper understanding and useful guidelines when attempting to investigate, enhance, or optimize cooling methods for PV modules.
Keywords: PV-Photo Voltaic, PCM-Phase Change Materials, TEG – Thermo Electric Generator
Keywords: PV-Photo Voltaic, PCM-Phase Change Materials, TEG – Thermo Electric Generator
Abstract
Control Schemes and Control strategies for Distillation Column Control
Mrs.V.A. Joshi
DOI: 10.17148/IJIREEICE.2024.12707
Abstract: Industrial processes need to be controlled for the purpose of maintaining quality, consistency, enhancing productivity, ensuring safe operation, maximising profits and complying with regulatory authorities. Distillation is one of the important unit operations in many Industries and hence various controls and control schemes associated with distillation operation are discussed here.
Also the schemes discussed in this paper are for separation of binary mixture.
Keywords: Feedback, Feedforward, Cascade, Reflux, Distillate, composition
Also the schemes discussed in this paper are for separation of binary mixture.
Keywords: Feedback, Feedforward, Cascade, Reflux, Distillate, composition
Abstract
INNOVATIVE INTEGRATION OF LOW POWER, LOW NOISE AMPLIFIER (LNA)& DACFOR HIGH-PERFORMANCE CLOSED LOOP DEEP BRAIN NEURO-STIMULATOR (CDBS)USING CADENCE VIRTUOSO
Mr. Santhosh B G, Ms. Deepika V B
DOI: 10.17148/IJIREEICE.2024.12708
Abstract: The development of a low power, Low Noise Amplifier ( LNA) and Digital to Analog converter ( DAC) for integration into a Closed-loop Deep Brain Neuro-Simulator( CDBS) represents a critical step in advancing the field of neural interface technology. This report outlines the systematic design and implementation process of these vital analog and mixed-signal components using Cadence Virtuoso. The design encompasses circuit architecture selection, schematic design, noise analysis, low power optimization, layout design, simulation, verification, and post-layout considerations.
The report emphasizes the significance of achieving low power consumption and minimal noise while meeting strict performance requirements. The final LNA and DAC designs are subjected to comprehensive testing and integrated into the CDBS, ensuring their seamless operation within the closed-loop neuro simulation system. The result not only showcases the capabilities of analog and mixed-signal design but also highlights the essential role these components play in enabling precise, real-time neural interfacing and control in neuroscience research and therapeutic applications.
Keywords: Low Power, Neuro-stimulation, Closed-loop, Analog and mixed-signal design.
The report emphasizes the significance of achieving low power consumption and minimal noise while meeting strict performance requirements. The final LNA and DAC designs are subjected to comprehensive testing and integrated into the CDBS, ensuring their seamless operation within the closed-loop neuro simulation system. The result not only showcases the capabilities of analog and mixed-signal design but also highlights the essential role these components play in enabling precise, real-time neural interfacing and control in neuroscience research and therapeutic applications.
Keywords: Low Power, Neuro-stimulation, Closed-loop, Analog and mixed-signal design.
Abstract
IoT Based EV Wireless Charging Station
Sandeep S, Monika H V, Siju Chacko, Swati Kulal
DOI: 10.17148/IJIREEICE.2024.12709
Abstract: As the new era of automobile industry is rapidly transforming from an IC engine vehicle to an electric vehicle, the demand for an electric vehicle is increasing. This leads to an increase in charging stations as well. In this project, a wireless charging system is used to charge the vehicle wirelessly via inductive coupling. We just need to park the car on the charging spot. The transmission of electrical energy from source to load from a distance without any wire or cables is called Wireless Power Transmission. The concept of wireless power transfer was the greatest invention by Nikola Tesla. This system doesn’t require any human interaction. Wireless power transmission might be one of the technologies that is one step forward towards the future. This project can open up new possibilities of wireless charging that can be used in our daily lives.
Wireless power transfer (WPT) using magnetic resonance is the technology that could set human free from the annoying wires. In fact, the WPT adopts the same basic theory which has already been developed for at least 30 years with the term inductive power transfer. WPT technology has been developing rapidly in recent years. At milli watts to kilowatts power level, the power transfer distance increases from several millimeters to several hundred millimeters with a load efficiency above 90%. The advances make the WPT very attractive to electric vehicle (EV) charging applications in both static and dynamic charging scenarios.
The integration of IoT further elevates the capabilities of wireless charging systems. With IoT, the charging process becomes smarter and more connected. Real-time data can be collected and analysed, allowing for more efficient management of charging stations. IoT enables features such as remote monitoring, predictive maintenance, and dynamic load balancing. The seamless incorporation of WPT and IoT in EV charging addresses challenges related to charging time, range, and cost. This convergence renders traditional battery technology less critical in the mass market adoption of EVs. The project envisions researchers leveraging these state-of-the-art achievements to drive further advancements in WPT and foster the broader expansion of electric vehicles.
Keywords: IoT, Wireless charging, IR Sensor, Blynk, Relay, WPT.
Wireless power transfer (WPT) using magnetic resonance is the technology that could set human free from the annoying wires. In fact, the WPT adopts the same basic theory which has already been developed for at least 30 years with the term inductive power transfer. WPT technology has been developing rapidly in recent years. At milli watts to kilowatts power level, the power transfer distance increases from several millimeters to several hundred millimeters with a load efficiency above 90%. The advances make the WPT very attractive to electric vehicle (EV) charging applications in both static and dynamic charging scenarios.
The integration of IoT further elevates the capabilities of wireless charging systems. With IoT, the charging process becomes smarter and more connected. Real-time data can be collected and analysed, allowing for more efficient management of charging stations. IoT enables features such as remote monitoring, predictive maintenance, and dynamic load balancing. The seamless incorporation of WPT and IoT in EV charging addresses challenges related to charging time, range, and cost. This convergence renders traditional battery technology less critical in the mass market adoption of EVs. The project envisions researchers leveraging these state-of-the-art achievements to drive further advancements in WPT and foster the broader expansion of electric vehicles.
Keywords: IoT, Wireless charging, IR Sensor, Blynk, Relay, WPT.
Abstract
Role of OEM in Automotive OS platform
Lovely Gaur, Rajitha T. B., Srilakshmi Inampudi, Kavita Sawant
DOI: 10.17148/IJIREEICE.2024.12710
Abstract: In today's dynamic auto industry, original equipment manufacturers (OEMs) are driving innovation and progress. Automotive OS forms the backbone of a car, managing and controlling functions including braking, infotainment, and safety. This means that OEMs must master increasingly complex car elements, such as sensors. Meanwhile, incompatibilities and poor harmonization among software car elements pose significant issues. If left unaddressed, these issues can hinder innovation and impede electric vehicle (EV) adoption, leading to environmental and economic setbacks.
Keywords: OEM, drives, motors, electric vehicles, automotive OS.
Keywords: OEM, drives, motors, electric vehicles, automotive OS.
Abstract
‘‘USING ANTI-PARALLEL VOLTAGE SOURCES, A LOW-POWER MULTILAYER INVERTER WITH FEWER SWITCHES’’
RATHINAM.A, YASHICA.M, RAJA.M
DOI: 10.17148/IJIREEICE.2024.12711
Abstract: In this paper, a new cascaded multilevel inverter model is proposed. The anti-parallel voltage source unit is connected in series to execute the suggested model. Power switches connect the voltage sources in each of the separate units in parallel. By connecting further units, the output levels of the suggested model can be readily increased. Each unit has a different voltage magnitude than the others. The suggested model uses fewer power semiconductor switches, which lowers the total cost and complexity of the circuit. With the right input voltage magnitude assigned, the suggested inverter can produce high output steps with the fewest switches needed. Simulation results are used to validate the suggested multilayer inverter's performance. This is a description of the 63-level asymmetrical multilevel inverter simulation result.
Abstract
Automation of Integrated Circuit Parameters Measurement using LabVIEW
Nishanth G S, SuryaTej Y S, Vishnu Prasad R, Vishwanath, Priyadarshini Jainapur
DOI: 10.17148/IJIREEICE.2024.12712
Abstract: The measurement of electrical parameters, whether AC or DC, is a crucial step in the design, development, and validation of integrated circuits. As integrated circuits continue to evolve, incorporating increasingly complex and diverse functional blocks, the need for comprehensive and thorough measurement becomes increasingly important.
The measurement process involves several key stages. First, functional testing ensures that the IC operates correctly. This is followed by timing and power analysis, which identifies potential timing violations and optimizes power consumption to enhance energy efficiency. Voltage and frequency scaling experiments are also conducted to investigate the IC's performance.
Furthermore, validation and compliance checks are performed to ensure adherence to industry standards and regulatory requirements. Sophisticated simulation techniques play a vital role in facilitating the measurement process, enabling a faster and more cost-effective assessment of the IC's behaviour. Building on this foundation, this paper explores the automation of the measurement process using LabVIEW, with a focus on streamlining and optimizing the testing and validation of integrated circuits.
Keywords: Integrated Circuits, LabVIEW, AC measurement, DC measurement.
The measurement process involves several key stages. First, functional testing ensures that the IC operates correctly. This is followed by timing and power analysis, which identifies potential timing violations and optimizes power consumption to enhance energy efficiency. Voltage and frequency scaling experiments are also conducted to investigate the IC's performance.
Furthermore, validation and compliance checks are performed to ensure adherence to industry standards and regulatory requirements. Sophisticated simulation techniques play a vital role in facilitating the measurement process, enabling a faster and more cost-effective assessment of the IC's behaviour. Building on this foundation, this paper explores the automation of the measurement process using LabVIEW, with a focus on streamlining and optimizing the testing and validation of integrated circuits.
Keywords: Integrated Circuits, LabVIEW, AC measurement, DC measurement.
Abstract
HEART ATTACK, ALCOHOL DETECTION AND MONITORING IN SMART TRANSPORTATION SYSTEM
Dhanamma, Mahesha G, Shreekanth, Priyadarshini Jainapur
DOI: 10.17148/IJIREEICE.2024.12713
Abstract: This project presents the development of an innovative smart transportation system using the Arduino Uno microcontroller, designed to enhance driver safety by monitoring heart attack symptoms and detecting alcohol consumption in real-time. The primary objective is to prevent accidents caused by health emergencies and impaired driving by implementing an automated emergency vehicle stop mechanism.
The system integrates a pulse sensor to continuously monitor the driver’s heart rate, detecting irregularities such as tachycardia (abnormally high heart rate) or bradycardia (abnormally low heart rate) that may indicate an impending heart attack. Concurrently, an MQ-3 alcohol sensor measures the driver’s breath alcohol concentration, identifying levels that exceed a predetermined threshold indicative of intoxication. Both sensors relay data to the Arduino Uno, which processes the information and triggers appropriate actions.
In the event of detecting an abnormal heart rate or high alcohol concentration, the system initiates multiple safety protocols. It activates an alert system, including a buzzer and an LCD display to notify the driver, and uses a GSM module to send emergency notifications, including the vehicle's current location, to predefined contacts such as emergency services or family members. Simultaneously, a relay module interfaced with the Arduino Uno controls a motor driver to safely bring the vehicle to a gradual stop, preventing sudden halts that could cause further hazards.
Keywords: Arduino UNO, Alcohol Sensor, Heat beat sensor, Enhanced Road Safety, Emergency Vehicle Stops.
The system integrates a pulse sensor to continuously monitor the driver’s heart rate, detecting irregularities such as tachycardia (abnormally high heart rate) or bradycardia (abnormally low heart rate) that may indicate an impending heart attack. Concurrently, an MQ-3 alcohol sensor measures the driver’s breath alcohol concentration, identifying levels that exceed a predetermined threshold indicative of intoxication. Both sensors relay data to the Arduino Uno, which processes the information and triggers appropriate actions.
In the event of detecting an abnormal heart rate or high alcohol concentration, the system initiates multiple safety protocols. It activates an alert system, including a buzzer and an LCD display to notify the driver, and uses a GSM module to send emergency notifications, including the vehicle's current location, to predefined contacts such as emergency services or family members. Simultaneously, a relay module interfaced with the Arduino Uno controls a motor driver to safely bring the vehicle to a gradual stop, preventing sudden halts that could cause further hazards.
Keywords: Arduino UNO, Alcohol Sensor, Heat beat sensor, Enhanced Road Safety, Emergency Vehicle Stops.
Abstract
Next gen assistive technology smart glove for blind
Chethan B G, Madhusoodhan C, Surya R, Poornima kamath K
DOI: 10.17148/IJIREEICE.2024.12714
Abstract: God has given all of his creations, but especially humans, the priceless gift of sight. Some people, on the other hand, are denied this beauty and are unable to see the world’s wonders for themselves.
“Third Eye for the Blind” is a multidisciplinary initiative that empowers visually impaired people by combining hardware design, software engineering, and scientific ideas. This allows the individuals to confidently and independently explore their environment. This is accomplished by using ultrasonic waves to identify items in the immediate vicinity and deliver feedback in the form of vibrations or beep sounds.
A startling 285 million individuals worldwide are estimated to have visual impairments, according to the World Health Organization (WHO). Of them, 39 million are blind and 246 million have poor vision. These people deal with a lot of difficulties in their day-to-day life. The Third Eye project is a creative approach that provides the blind with significant advantages. “Third Eye” is committed to helping those who are blind or visually impaired identify everyday items and faces. Through the use of machine learning, the system can recognize faces and detect objects. Additionally, it uses Optical Character Recognition (OCR) technology to read text from recognized objects, such as product names and signboards.
Keywords: Smart glove, Image processing text to voice, raspberry pi.
“Third Eye for the Blind” is a multidisciplinary initiative that empowers visually impaired people by combining hardware design, software engineering, and scientific ideas. This allows the individuals to confidently and independently explore their environment. This is accomplished by using ultrasonic waves to identify items in the immediate vicinity and deliver feedback in the form of vibrations or beep sounds.
A startling 285 million individuals worldwide are estimated to have visual impairments, according to the World Health Organization (WHO). Of them, 39 million are blind and 246 million have poor vision. These people deal with a lot of difficulties in their day-to-day life. The Third Eye project is a creative approach that provides the blind with significant advantages. “Third Eye” is committed to helping those who are blind or visually impaired identify everyday items and faces. Through the use of machine learning, the system can recognize faces and detect objects. Additionally, it uses Optical Character Recognition (OCR) technology to read text from recognized objects, such as product names and signboards.
Keywords: Smart glove, Image processing text to voice, raspberry pi.
Abstract
Comparative Overview of Compressed Natural Gas Vehicle (CNGV) and Electric Vehicle (EV)
Dr. B. Prakash Ayyappan, Mr. B. Reuben, Mrs. S. Saranya, Ms. S. Ruckmani, M. Parveen Banu
DOI: 10.17148/IJIREEICE.2024.12715
Abstract: The paper provides the comparative analysis between Compressed Natural Gas Vehicles (CNGVs) and Electric Vehicles (EVs) across various parameters. Both CNGVs and EVs contribute significantly to a clean and sustainable environment. Natural gas can be utilized for electricity generation, which can subsequently charge EVs. Thus, this study explores the role of natural gas in meeting the needs of both CNGVs and EVs from a future perspective. The widespread adoption of CNGVs and EVs not only enhances technological advancements in the transportation sector but also aids in mitigating global warming.
Keywords: Natural Gas Vehicle, Electric Vehicle.
Keywords: Natural Gas Vehicle, Electric Vehicle.
Abstract
PROGRAMMABLE LOGIC CONTROLLER (PLC) TRAINER KIT FOR VARIOUS POWER SYSTEM APPLICATION
Sumanth B, Neha J, Sneha R, Prasad C K, Dr.Kasi Viswanathan
DOI: 10.17148/IJIREEICE.2024.12716
Abstract: This paper presents the design and implementation of a Programmable Logic Controller (PLC) trainer kit using the Siemens LOGO! PLC, model 6ED1 052-1MD08-0BA1. The trainer kit is designed to facilitate hands-on learning for students in automation and control systems. It includes a modular PLC system, a range of input/output devices, and an instructional manual with practical exercises. This kit aims to enhance the practical skills of students and provide a comprehensive understanding of PLC applications in both educational and industrial settings.
Keywords: PLC, Siemens LOGO, automation, control systems, educational tool, industrial applications, hands-on training, modular system.
Keywords: PLC, Siemens LOGO, automation, control systems, educational tool, industrial applications, hands-on training, modular system.
Abstract
Agriculture pesticide spraying robot
VINAY GOWDA HA, ROHITH V, SHARAN KT, VINAY BHUSHANNAVAR
DOI: 10.17148/IJIREEICE.2024.12717
Abstract: This project involves designing and developing an autonomous robot for pesticide spraying in agriculture, aiming to enhance both the efficiency and precision of pesticide application. Traditional spraying methods can lead to uneven coverage and excessive chemical use, causing environmental harm and health risks. The proposed robot will leverage advanced machine learning algorithms to accurately identify and treat specific areas, reducing waste and optimizing coverage. The robot’s effectiveness will be evaluated through field tests, focusing on its precision, efficiency, and overall impact on crop health and yield
Keywords: Here are the selected keywords:
Keywords: Here are the selected keywords:
Abstract
IOT Cloud Based-ECG Monitoring System
Abhishek k, Chethan K S, Gouri Maresh, Shamsheer, Mrs. Rashmi Pattan
DOI: 10.17148/IJIREEICE.2024.12718
Abstract: This project introduces an innovative IoT- based health monitoring system employing the ESP32 Wi-Fi module. The Internet of Things (IoT) serves as a vast interconnected network linking both devices and individuals, facilitating the collection and dissemination of data pertaining to their usage and the surrounding environment. The proposed system incorporates diverse sensors to measure critical health parameters, including blood pressure (BP) and electrocardiogram (ECG), enabling real- time monitoring and seamless data transmission. By leveraging the capabilities of the ESP32 Wi-Fi module, this system offers a robust and efficient platform for health monitoring, promising enhanced accessibility and timely interventions for proactive healthcare management With IoT serving as the linchpin connecting devices and individuals, our proposed system harnesses a network of sensors to measure crucial health parameters such as blood pressure (BP) and electrocardiogram (ECG). This innovative approach not only facilitates real-time data collection but also ensures seamless transmission, promising a transformative leap in healthcare management through proactive monitoring and timely interventions.
Keywords: ECG sensor, LCD Module, Arduino IDE Software Tool
Keywords: ECG sensor, LCD Module, Arduino IDE Software Tool
Abstract
Water Quality Control for Clever Watering with Arduino UNO
Tejas Sai.S, Kundan, Syed Umar, Lingraj
DOI: 10.17148/IJIREEICE.2024.12719
Abstract: The Smart Irrigation System we're looking at has some real benefits. It saves water, helps crops grow better, and cuts down on work costs. By using IoT tech and microcontrollers, this system gives farmers a way to do precise farming without breaking the bank, and it can grow with their needs. Down the road, we might see it hook up with weather forecasts to plan watering ahead of time. It could also start using machine learning to adapt how it controls things.
As water becomes scarce and farms need to work smarter, this project looks into a system that manages water quality and waters crops using Arduino Uno. The setup brings together different sensors to keep an eye on water quality and how wet the soil is. These include sensors for pH how clear the water is, and soil moisture. The Arduino Uno, which acts as the brain of the operation, takes in all this information from the sensors. It then uses this up- to-the-minute data to change when and where water goes making sure plants grow well and water isn't wasted. This smart watering system offers a long- lasting answer for today's farming using water more while keeping crops healthy and productive.
Keywords: Smart Irrigation System ,Water Conservation ,Precision Farming, IoT Technology, Microcontrollers, Cost- Effective Farming, Scalable System,Weather Forecast Integration, Machine Learning in Agriculture, Water Management System, Arduino Uno
As water becomes scarce and farms need to work smarter, this project looks into a system that manages water quality and waters crops using Arduino Uno. The setup brings together different sensors to keep an eye on water quality and how wet the soil is. These include sensors for pH how clear the water is, and soil moisture. The Arduino Uno, which acts as the brain of the operation, takes in all this information from the sensors. It then uses this up- to-the-minute data to change when and where water goes making sure plants grow well and water isn't wasted. This smart watering system offers a long- lasting answer for today's farming using water more while keeping crops healthy and productive.
Keywords: Smart Irrigation System ,Water Conservation ,Precision Farming, IoT Technology, Microcontrollers, Cost- Effective Farming, Scalable System,Weather Forecast Integration, Machine Learning in Agriculture, Water Management System, Arduino Uno
Abstract
DC MOTOR SPEED AND DIRECTION CONTROL
Divya S, Praphulla J, Rajesh Babu BR, Rakshith Gowda, Monica K M
DOI: 10.17148/IJIREEICE.2024.12720
Abstract: This paper presents a wireless control system for DC motors utilizing an ESP8266 Wi-Fi module and an Arduino In the field of electronics and control systems, it is often required to control the speed of a DC motor with precision. One of the popular ways to achieve this is by using an Arduino Uno board and PWM (Pulse Width Modulation) signal to control the motor speed. This project implements a wireless DC motor controller using Arduino and an ESP8266 module. It enables remote control of motor speed and direction via a mobile app, integrating Arduino for motor interfacing and ESP8266 for communication. The system offers real-time responsiveness and reliability, ideal for applications in robotics and IoT requiring precise motor control. Experimental validation confirms its effectiveness in varied operational contexts.
Keywords: DC motor control, ESP8266, Arduino, Wi-Fi, wireless control, IoT, automation.
Keywords: DC motor control, ESP8266, Arduino, Wi-Fi, wireless control, IoT, automation.