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VOLUME 10, ISSUE 6, JUNE 2022
Energy Storage Systems – Possible Impacts on Maritime Sector
S. Thangalakshmi*, V. Ganeshram
PROCEDURE FOR CONVENTIONAL FACIAL EMOTION RECOGNITION
Sachin T, Komala K, MZ Kurian
Different Phase Locked Loop: A Review
Ritesh Kumar, Nivedita Tiwari
PRE-PROCESSING OF CT SCAN IMAGES FOR COVID-19 DETECTION
Namratha R, Anitha Devi MD, MZ Kurian
Cloud Storage Monitoring System analyzing through File Access Pattern
Ms. Manya S, Ms. Sahana M, Mr. Srinivas B V
Body Area Routing Network Using Telnet and Two-Way Authentication
Mrs Keerthi P, Nischitha G N, Spoorthy V Ambati, Aarnavi N
CONTROLLING OF ILLEGAL SAND MINING USING MACHINE LEARNING AND OCR
Kumaragurupharan S, Dileepan M, Irfan ahmed I, Gokulakrishnan M J, Vennila.C
CATCHING ILLEGAL FISHING USING RANDOM FOREST AND LINEAR REGRESSION MODELS
B. Padmaja, K. Mounika, P. Sowjanya, P.V.S. Keerthana, K. Tejaswini
AI BASED SEED SUGGESTING SYSTEM TO ENHANCE AGRICULTURE HARVESTING
Sivakannu G, Diravidamani M, Krishna kumar K, Kumaresan A, Manoj kumar A
Aqua Verse: A WEB 3.0 Blockchain Application
Asma Begum, Anand Shankar, Harsh Verma, Mahaveer Singh
Arduino-based Vehicle Alert and Control System for Drunken Drivers
Mrs. M. Naga Sravani, M. Hema Sai Pushpa, A.Sravani, P. Satya Sowjanya, P.Neeharika
An Expertise System for Insulin Dosage Prediction using Machine Learning Techniques
Dr.K.Vijay Kumar, K.Mounika Sai Sadhvi, M.Bhargavi, K.Sri Varshini, K.Sirisha
Analyzation and Visualization of Stock
Anurag Kumar, Shivam Kumar, Shubham Kumar Yadav, Vishal Kumar, Uzma Sulthana
IOT BASED ENERGY METERING FOR SINGLE PHASE LOAD USING CLOUD COMPUTING WITH GCP
Shri Harsha J, Santhrupthi C D, Monika T R
NEW EMPLOYEE ATTENDANCE MANAGEMENT SYSTEM FOR SCHOOLS AND UNIVERSITIES USING IOT
Shri Harsha J, Nihal S Hulikal, Chethan Gowda J T
Graphical Password Authentication
Mrs. SK. Rahimunnisa, Sarayu Ginni, Sathivilli Praveena, Ravalapodi Pavani, Velaga Neeraja, Potnuru Kranthi
Cloud based Secure Employee Review Management System
Pragnya Y S, Anchita, Sonali Sakshi, Krishnamurthy H
Ruthless Encounter using IoT
Taniya S J, Raghunandan P, Sharat P, Safwan M, Prof. Shilpa B
Gesture based Controlled Robot
Navneet, Prashant Kumar, Ravi Prakash Singh, Servottam Kumar, Rajendra M
STORAGE AND VALIDATION OF CERTIFICATES USING CRYPTOGRAPHY
Mrs. B. Haritha Lakshmi, S. Dhana Lakshmi, T. Lalitha, P. Sivani, M. Sai Kavya Sri, M. Padmavati
FALL DETECTION AND ALERT SYSTEM USING IOT
Mrs. D. Kiranmayi, Pudi Hema Latha, Singuru Kavya, Tangudu Sowmya, Tammineni Priyanka
Tracing Missing Children by DNA Matching Using Bayes Classification Algorithm
Mr.L.Jaga.Jeevan.Rao, Pushpa Kanda, Yanaparthi Poornima, Relangi Ramya, Reyyi Likhita
Object Detection and Tracking using OpenCV
Nandini A, Preethi MP, Mrs. Kavitha Patil
Advanced Driver Assistance System Using Machine Learning
Dr.Jyoti Metan, Preran M Kyasvar, Sahana K C, Sahana K H
VOICE BASED ONLINE/OFFLINE VIRTUAL ASSISTANCE FOR WINDOWS
Mr. Prajwal Y R, Mr. Sanjay H S, Mr. Tharun R, Mrs. Shruthi B
Matrix Converter Fed Induction Motor Drive for Smooth Operation
Dr. P. Chandra Sekhar, Kasoju Bharath Kumar
Study of Different Tepologies for Fast Charging Strategy for Electric Vehicles
Manoj J. Deshmukh, Vijay S. Pawar, Suraj R. Jadhav, Amol S. Nikam, Snehal M. Bhingardeve
Emergency Vehicle Detection
Dr. Mamtha T, Dipyaman Deb, Adarsh Priya Srivastava, Anup Patel, Aditya Kumar
IOT-BASED SMART WASTE MANAGEMENT SYSTEM
Mr. Devraj Y, Mr. Senakula Badrinath, Mr. Shashikanth C, Mr. Omprakash B
Intruder Detection System
Sathisha G, Anjali Sharma, Avinash Kumar, Manish Kumar Mishra, Sahil Bhuwalka
SANITARY NAPKINS VENDING MACHINE
Mr. NIKHIL D. BRAMHANE, Miss. SHILPA S. GHARDE, Miss. PUJA J. YERME, Miss. SEEMA M. VAIDYA, Prof. M. M. RAMTEKE, Prof. A. R. TONGE
ELECTRIC BICYCLE
Mr. KRISHNA KUMAR SINGH, Mr. RAJESH KUMAR, Mr. SNEHARTHI CHATTARAJ, Prof. YOGESH B. MANDAKE, Dr. DEEPAK S. BANKAR
Smart Health Prediction System
A. Shikhar Pratap Singh, B. Subham Kumar Dahiya, C. Syed Imaad Ur Rahman, D. Tanmay Gupta
PLANT DISEASE DETECTION USING MACHINE LEARNING
Mrs. VIMALA K, PALLAVI, SHAHBAAZ PASH, AMULYA GHANTI, ARBAZ AKHTAR
Chocolate Vending Machine using Raspberry Pi
Miss. Sneha K. Gainwar, Prof. A. R. Manusmare
Human Body Action Recognition System Using ELM Algorithm
Dhananjay Vijayrao Gharad, Dr. A.O. Vyas
Review On Human Body Action Recognition System Using ELM Algorithm
Dhananjay Vijayrao Gharad, Dr. A.O. Vyas
AUTOMATIC BRAKING SYSTEM USING ULTRASONIC SENSOR
Devender Kumar J Pal, Adnan Mohi Ud Din Dar, Durgesh Chandrakar, Shripad G Desai
Gesture Controlled ATV
Gaurav Kumar, Tanya Verma, Prathamesh Shinde, Naveen Kumar, Ramgopal Sahu
Ticketbee-digital ticket system for bus
Mrs. Pallavi T P, Anjali, Ashvitha B, Harshit Kumar
Handwritten Text Recognition System using Convolutional Neural Network
Ms. B. Padmaja, Teppala Pushpa Harika, S. P. V. Pooja Manasa, Tumpala Pushpalatha, Molleti Sai Sri Vallika
UNIQUE REQUEST TO PERSONAL VIRTUAL ASSISTANCE OF WINDOWS VIA GSM
Sri Lakshmi S, Tejashree A, Varshitha R, Yashwanth B N, Mrs. Semma J
Prepaid Energy Meter with GSM Modem using pic microcontroller
Sneha B. Mali, Aman A. Patil, Abhijeet S. Shinde
Leisure sports for promotion of Health
Ramakant D. Bansode, Dr. Vandana Singh
Thermal Stability Analysis of Radiation Hardened 14T and 15T Differential Ended SRAM Cells for Outer Space by 22nm Technology
Dharma Teja Lanka, S. Rajendra Prasad, K. Srinivasa Rao
Abstract
Energy Storage Systems – Possible Impacts on Maritime Sector
S. Thangalakshmi*, V. Ganeshram
DOI: 10.17148/IJIREEICE.2022.10601
Abstract: Typical marine vehicles either use diesel or diesel-electric power, which produces toxic pollutants that impact the health of those who live near the harbour. The use of the Battery-operated Electric Propulsion (pure-electric) technology would decrease hazardous pollutants emitted by sea vehicles to zero. Concerns over critical environmental degradation and fossil fuel usage have captivated the automotive market, particularly in maritime vessels, in recent times. The oscillations generated by strong dynamic loads serve as an additional difficulty in ships. To improve stability in shipboard power systems, many generators are now maintained online at far lower than their efficient point. So, to increase the fuel mileage of shipboard power systems, a simple option, a compromise between fuel savings and durability, might be presumed: minimal generator operation with ensured safety. In contrast to previous systems in which propulsion and service loads are powered by distinct generators, propulsion and service loads are linked into a shared network in pure-electric ships to achieve reduced fuel economy with lower emissions. Integration of an energy storage system (ESS) is said to be a useful strategy for increasing the reliability of the shipboard power system. Batteries, ultra-capacitors, flywheels, and fuel cells are examples of energy storage technologies that are now employed in a variety of applications. Marine batteries are particularly developed for sea transport, having larger plates and more resilient structure to handle the stress and hammering that might arise on any powerboat. These batteries have been designed specifically to suit the prospective and future demands of marine transportation applications. This study examines many types of maritime energy storage devices that have been widely employed to enhance the overall efficiency of sea transport.
Keywords: energy storage system, carbon neutral, decarbonisation, marine batteries, fuel cell
Keywords: energy storage system, carbon neutral, decarbonisation, marine batteries, fuel cell
Abstract
PROCEDURE FOR CONVENTIONAL FACIAL EMOTION RECOGNITION
Sachin T, Komala K, MZ Kurian
DOI: 10.17148/IJIREEICE.2022.10602
Abstract: Face-noticing has been on every side for ages. Taking ahead, human emotion is exhibited by face and it can be felt by brain, it is apprehended either in video form, electric signal (EEG) or image form can be estimated. Human emotion noticing is the need of the hour so that contemporary artificial intelligence systems can imitate and measure the reactions from face. This can be obliging to make notified resolution by it viewing recognition of purpose, furtherance of afford or certainty related warning. Acknowledging sensation from images or video is an insignificant task for human eye, but to demonstrate is very daring for machines and requires many image-processing approaches for feature extraction. Some machine learning algorithms are fit for this piece of work. Any finding or identification by machine learning needs instruction algorithm and then experiment them on an acceptable dataset. This paper traverse a duo of machine learning algorithms as well as feature descent methods which would help us in precise recognition of the human emotion.
Keywords: Segmentation, recognition, detection.
Keywords: Segmentation, recognition, detection.
Abstract
Different Phase Locked Loop: A Review
Ritesh Kumar, Nivedita Tiwari
DOI: 10.17148/IJIREEICE.2022.10603
Abstract: Rapid penetration of renewable energy sources connected to the grid and distribution systems with power electronic circuits have changed the expected grid requirements to guarantee an appropriate performance under grid faults. This paper presents the analysis of SRF PLL for distorted grid conditions. An exact detection of phase and fundamental frequency of grid current is essential for the control algorithm of grid connected power converter circuit. A control model of the SRF PLL is developed and is made on tuning the system under distorted grid conditions like harmonics and dc offsets. The SRF PLL can be completely implemented in software with pre-filters. The pre-filters are band pass and high pass filters these can be used to reduce harmonics present in the input and high pass filter alone can reduce the dc offset present in the input. The effects of high pass and band pass filters on dc offsets are analyzed. The superior performance of proposed pre-filter-based SRF PLL phase detection system is studied and the obtained results are compared with SRF PLL-based phase detection to confirm the feasibility of the study under different grid environment such as high-harmonic injection. All analytical results are verified using MATLAB software.
Keywords: Grid-connected operation, phase-locked loop (PLL), Band pass filter, Low pass filter, seamless transfer, three-phase inverter, PI regulator, voltage sag detection.
Keywords: Grid-connected operation, phase-locked loop (PLL), Band pass filter, Low pass filter, seamless transfer, three-phase inverter, PI regulator, voltage sag detection.
Abstract
PRE-PROCESSING OF CT SCAN IMAGES FOR COVID-19 DETECTION
Namratha R, Anitha Devi MD, MZ Kurian
DOI: 10.17148/IJIREEICE.2022.10604
Abstract: In December 2019, the first covid case was reported in China province. It has achieved a status as pandemic. This pandemic with continuously evolving transmission. Tracing the people who was a close contact with positive people and then quarantining them by some measures like seal-down. So, some other reliable measures have to be taken in order to control the cases of positivity.
Covid-19 is a larger epidemic, it covers several countries or spreads from one continent to another. The early detection of this disease is censorious to control the positivity cases unfurl and impermanence.
The speed and pace and of the transmission of severe acute respiratory syndrome coronavirus 2 also referred as Covid- 19 have resulted in a global pandemic, with significant health, financial and other implications.
The global outbreak of novel coronavirus 2019 was declared by the World Health Organization on 30 January 2020. The clinical symptoms of covid-19 are predominantly pulmonary, although serious cardiovascular side effects were also observed in a number of patients.
Existing preventative solutions, include frequent hand wash using soap and water, hydro-alcoholic solution and digital technologies to detect and limit the spread of the virus and track the movement of quarantined peoples. Impact- millions of deaths, lockdown in cities, restricted movements, business losses, global economy slowdown.
Keywords: CT, CNN, VGG16, Mobile net, Densenet121, Xception, Efficient net, NAS Net.
Covid-19 is a larger epidemic, it covers several countries or spreads from one continent to another. The early detection of this disease is censorious to control the positivity cases unfurl and impermanence.
The speed and pace and of the transmission of severe acute respiratory syndrome coronavirus 2 also referred as Covid- 19 have resulted in a global pandemic, with significant health, financial and other implications.
The global outbreak of novel coronavirus 2019 was declared by the World Health Organization on 30 January 2020. The clinical symptoms of covid-19 are predominantly pulmonary, although serious cardiovascular side effects were also observed in a number of patients.
Existing preventative solutions, include frequent hand wash using soap and water, hydro-alcoholic solution and digital technologies to detect and limit the spread of the virus and track the movement of quarantined peoples. Impact- millions of deaths, lockdown in cities, restricted movements, business losses, global economy slowdown.
Keywords: CT, CNN, VGG16, Mobile net, Densenet121, Xception, Efficient net, NAS Net.
Abstract
Cloud Storage Monitoring System analyzing through File Access Pattern
Ms. Manya S, Ms. Sahana M, Mr. Srinivas B V
DOI: 10.17148/IJIREEICE.2022.10605
Abstract: Cloud computing is an important technology on current demanding business requirements and it has been emerged as unavoidable technology. The usage of IaaS Service storage for Cloud Computing is being expanding exponential every year. The cloud storages are used by the cloud user due to its economy compared with other storage methods. The replications of files helps user for easy access with high availability which reduces the overall access time of the files, but at the same time it occupies more storage space and result in high storage cost. The cloud user holds multiple times of the storage than what he is actually needed. It is a dire need of system to find unwanted files in the cloud and also optimize the storage space by evaluating through file access frequency.
This paper propose Cloud Storage Monitoring (CSM) system, which monitor the IaaS storage usage and analyze the file access patterns by various parameters to identify the frequency of access, size, future access prediction, replication of files in the cloud storage. This allocates a ranking for each file which also predicts future access pattern. This generates a recommendation dashboard to the user who can decide on the operations such as reorganize, delete or archive the files and eliminate duplicate files in the cloud storage which can increase the space for future use. This system is experimented in the CloudSim environment and validate through multiple simulations testing, by using comparison techniques related to file attributes, delta versionhashing, Data de-duplication. The ranking algorithm technique applied on frequency distribution shows that increase in the storage space up to 10.91% higher than the normal system. It also helps to forecast towards future files usability prediction and prevents the duplicate entries.
This paper propose Cloud Storage Monitoring (CSM) system, which monitor the IaaS storage usage and analyze the file access patterns by various parameters to identify the frequency of access, size, future access prediction, replication of files in the cloud storage. This allocates a ranking for each file which also predicts future access pattern. This generates a recommendation dashboard to the user who can decide on the operations such as reorganize, delete or archive the files and eliminate duplicate files in the cloud storage which can increase the space for future use. This system is experimented in the CloudSim environment and validate through multiple simulations testing, by using comparison techniques related to file attributes, delta versionhashing, Data de-duplication. The ranking algorithm technique applied on frequency distribution shows that increase in the storage space up to 10.91% higher than the normal system. It also helps to forecast towards future files usability prediction and prevents the duplicate entries.
Abstract
Body Area Routing Network Using Telnet and Two-Way Authentication
Mrs Keerthi P, Nischitha G N, Spoorthy V Ambati, Aarnavi N
DOI: 10.17148/IJIREEICE.2022.10606
Abstract: WBAN (Wireless Body Area Network) is the newest branch of networking and data communication. Sensor networks meant to run autonomously to connect different additional sensors (medical, position, and geographic) and appliances have grown more resilient and efficient thanks to rapid improvements in wireless communication and semiconductor technology. We create a network that includes intra-body and inter-body communication. Every body is regarded as an autonomous system (AS) capable of mobility and communication with other autonomous systems (AS) with distinct Autonomous System Numbers (ASN). Sensors and other items installed on or inside the body make up the intra-body network. These are the network's nodes, which are linked together by links. A Body Area Network is built to connect the nodes, allowing them to communicate with one another. As a result, information is exchanged and real-time sensor interdependability ideas are realised. The latter is what the inter-body communication system is made up of. This network is made up of a large number of intra-body networks that are linked together to share information in a secure manner. When connected and tested, this network will allow military personnel to share private and critical information. The information that will be transmitted across the network is password secured. This would prevent intruders from gaining access to TOP-SECRET data or information.
Keywords: Body Area Network, EIGRP, RIP, WBAN.
Keywords: Body Area Network, EIGRP, RIP, WBAN.
Abstract
CONTROLLING OF ILLEGAL SAND MINING USING MACHINE LEARNING AND OCR
Kumaragurupharan S, Dileepan M, Irfan ahmed I, Gokulakrishnan M J, Vennila.C
DOI: 10.17148/IJIREEICE.2022.10607
Abstract: In this project, we have proposed a camera footage-based sand theft detection along with thieves tracking based on object identification. For this purpose, we use image processing to detect theft occurrence and track thieves via gps location shared. we have developed a proposed design using Deep learning. Here, we have used image processing to detect sand theft. This system focuses on detecting objects. Here we process the entire video but we work on initial video frame in which the moving objects are segmented from the background.we applied image preprocessing steps in order to remove undesirable noise and we have used some image processing methodology to fill gaps in the detected objects. The system presented in the project uses OpenCV to detect a vehicle. the vehicle images are sent to the SMS notifications or remote alerting systems.
Abstract
CATCHING ILLEGAL FISHING USING RANDOM FOREST AND LINEAR REGRESSION MODELS
B. Padmaja, K. Mounika, P. Sowjanya, P.V.S. Keerthana, K. Tejaswini
DOI: 10.17148/IJIREEICE.2022.10608
Abstract: Fishing businesses facing a major financial problem throughout the globe due to illegal fishing. Through this illegal fishing, we are pushing many fish populations to extinction. This paper proposes illegal fishing using data analytics and machine learning techniques. In existed papers they used data manipulation in illegal fishing data because of that there was a delay in catching the illegal vessels and in that system the data given is manual. In our paper, we are proposing data analytics to find these vessels.
We can gather the primary data from the Global Fishing Watch (GFW), we analyze this data and find the vessels whether they are used for illegal fishing or legal. Based on the sensors attached to the vessel we can find AIS location data, type of the vessel, and speed of the vessel. By our model, we can predict illegal fishing and can take necessary actions against the illegal fishing boats.
Keywords: Illegal Fishing, Normal fishing, Regression model, GFW
We can gather the primary data from the Global Fishing Watch (GFW), we analyze this data and find the vessels whether they are used for illegal fishing or legal. Based on the sensors attached to the vessel we can find AIS location data, type of the vessel, and speed of the vessel. By our model, we can predict illegal fishing and can take necessary actions against the illegal fishing boats.
Keywords: Illegal Fishing, Normal fishing, Regression model, GFW
Abstract
AI BASED SEED SUGGESTING SYSTEM TO ENHANCE AGRICULTURE HARVESTING
Sivakannu G, Diravidamani M, Krishna kumar K, Kumaresan A, Manoj kumar A
DOI: 10.17148/IJIREEICE.2022.10609
Abstract: Agriculture generates most of the world's food. It's important for India's GDP. However, getting here wasn't easy. Degradation, population increase, climate change, illnesses, and labour shortages have hampered food supply. Artificially intelligent, data-centric, IoT-driven smart agriculture optimizes food production and improves quality to reduce losses. Machine learning and data analytics help farmers avoid costly mistakes. Our Wireless Sensor Network (WSN) - PIC (IC PIC16F877A) microcontroller, Node MCU (ESP82666), USB to UART converter, driver, relay, water pump, soil moisture, soil pH, soil NPK, temperature and humidity sensors deployment in the field proves to be an elixir. This IoT provides autonomous irrigation, crop variety prediction for sowing based on land appropriateness, and soil quality monitoring via data analysis. PC local host database and my Devices Cayenne are our farmer's remote eyes and hands. This machine learning predicts crop variety for sowing based on land appropriateness, seed amount, and fertilizer utilizing agricultural land size and Data Analysis. PC local host database and my Devices Cayenne are our farmer's remote eyes and hands.
Keywords: Wireless sensor network, Node MCU, IoT, PIC microcontroller
Keywords: Wireless sensor network, Node MCU, IoT, PIC microcontroller
Abstract
Aqua Verse: A WEB 3.0 Blockchain Application
Asma Begum, Anand Shankar, Harsh Verma, Mahaveer Singh
DOI: 10.17148/IJIREEICE.2022.10610
Abstract: In the modern era, the Internet technology is transitioning at a high pace. The transition from WEB 1.0 to WEB 2.0 was very swift and even the transition to WEB 3.0 will be smooth. This paper discusses about the application of blockchain technology in WEB 3.0 environment. It also discusses about smart contract which enables a user to transact on a specific blockchain network called Ethereum. Being the second largest cryptocurrency in the market, it offers a wide variety of decentralized application. The smart contract of this paper aims at transparent and irreversible transfer of Ether tokens from one wallet address to another wallet address along with a customized note.
Keywords: WEB 3.0, cryptocurrency, smart contract, banking in blockchain, supply chain, mining, Ethereum, gas fees, minting, virtual wallet
Keywords: WEB 3.0, cryptocurrency, smart contract, banking in blockchain, supply chain, mining, Ethereum, gas fees, minting, virtual wallet
Abstract
Arduino-based Vehicle Alert and Control System for Drunken Drivers
Mrs. M. Naga Sravani, M. Hema Sai Pushpa, A.Sravani, P. Satya Sowjanya, P.Neeharika
DOI: 10.17148/IJIREEICE.2022.10611
Abstract: This system is designed to reduce traffic accidents caused by drunk driving. The alcohol sensor is used to determine the condition of the driver. If the driver drinks alcohol while driving, the indicating system will alert them and the vehicle speed limit will be activated. Using the l293-d motor driver shield, the vehicle's speed will be reduced, and the ignition system will be turned off. This method should make road traffic safer than it was before.
Keywords: l293d driver module; MQ3 sensor; DC motor; GSM; GPS; Arduino Uno
Keywords: l293d driver module; MQ3 sensor; DC motor; GSM; GPS; Arduino Uno
Abstract
An Expertise System for Insulin Dosage Prediction using Machine Learning Techniques
Dr.K.Vijay Kumar, K.Mounika Sai Sadhvi, M.Bhargavi, K.Sri Varshini, K.Sirisha
DOI: 10.17148/IJIREEICE.2022.10612
Abstract: Diabetes Mellitus is a chronic metabolic disorder. Normally, with a proper adjusting of blood glucose levels (BGLs), diabetic patients could live a normal life without the risk of having serious complications that normally developed in the long run. However, blood glucose levels of most diabetic patients are not well controlled for many reasons. Although the traditional prevention techniques such as eating healthy food and conducting physical exercise are important for the diabetic patients to control their BGLs, however taking the proper amount of insulin dosage has the crucial rule in the treatment process. In this project we are using Gradient Boosting Classifier to predict diabetes and then using Linear Regression algorithm to predict insulin dosage in diabetis detected patients. To implement this project we are using PIMA diabetes dataset and UCI insulin dosage dataset. We are training both algorithms with above mention dataset and once after training we will upload test dataset with no class label and then Gradient Boosting will predict presence of diabetes and Linear Regression will predict insulin dosage if diabetes detected by Gradient Boosting.
Keywords: Diabetis Mellitus, Blood Glucose Levels (BGLs), Insulin Dosage, Gradient Boosting Classifier, Linear Regression.
Keywords: Diabetis Mellitus, Blood Glucose Levels (BGLs), Insulin Dosage, Gradient Boosting Classifier, Linear Regression.
Abstract
Analyzation and Visualization of Stock
Anurag Kumar, Shivam Kumar, Shubham Kumar Yadav, Vishal Kumar, Uzma Sulthana
DOI: 10.17148/IJIREEICE.2022.10613
Abstract: Model used is ARIMALSTM abbreviated as Auto Regressive Moving Averages and Long-short-term Memory. This model has been collaborated with Deep learning Reinforcement to make use of its library FinRL. There are several proposed models in recent time like RNN, KNN etc. yet need to be improved and modified. Our proposed model uses mathematical approach and calculation to know the market behavior -this is the analyzation step, neural network having time-series visualization capability to present the analyzed data as form of graphs plotted by using python framework and its libraries.
Algorithms implemented such as ARIMA, LSTM for the current trends to be integrated with the past observed data. Flask, a python framework, has been included to make a reactive web page by assembling all required tools like wordpress for the database purpose and tensorflow, etc. Purpose is to analyze and visualize the stock prices graphically of Indian and International Firms over several timestamps and we have also provided additional features to know about each and every stock using Technical Indicators.
Keywords: Stock, analyzation, visualization, forecasting, prediction, Models.
Algorithms implemented such as ARIMA, LSTM for the current trends to be integrated with the past observed data. Flask, a python framework, has been included to make a reactive web page by assembling all required tools like wordpress for the database purpose and tensorflow, etc. Purpose is to analyze and visualize the stock prices graphically of Indian and International Firms over several timestamps and we have also provided additional features to know about each and every stock using Technical Indicators.
Keywords: Stock, analyzation, visualization, forecasting, prediction, Models.
Abstract
IOT BASED ENERGY METERING FOR SINGLE PHASE LOAD USING CLOUD COMPUTING WITH GCP
Shri Harsha J, Santhrupthi C D, Monika T R
DOI: 10.17148/IJIREEICE.2022.10614
Abstract: The Internet of Things (IoT) concept, which has recently gained popularity in our lives, has created the potential to design and build energy-efficient smart devices, systems, and even whole cities. As a result of the important need for energy conservation, this project proposes a concept for an Internet of Things (IoT) based energy efficient wireless smart metering system that utilises the Internet of Things. It competes with the current metres in that it is a low-cost, fully integrated metering system that is completely integrated with the rest of the infrastructure. This service makes it possible for electrical supply companies to create user-friendly Android apps, as well as a website and database for their customers.Through this paper, we hope to bring in the Proof of Concept of a Precision Energy Metering for a greener and a brighter future. According to the proposed system design, accuracy is 97 percent, and the cost is about 25 percent less expensive than the cost of a comparable system design available on the global market. When compared to the prior iteration, the proposed design reduced power consumption by 16 percent.
Keywords: IOT, Cloud Computing, Smart Energy meter, GCP.
Keywords: IOT, Cloud Computing, Smart Energy meter, GCP.
Abstract
HEALTH TRAIL
Arpita Mazumder, Siddharth Ranjan
DOI: 10.17148/IJIREEICE.2022.10615
Abstract: An app which provides solution for an enhanced treatment regime. PHR is an electronic application through which individuals can access, manage and share their health information with others who are authorized to do so in a private, secure, and confidential environment. A tool for collecting, tracking, analyzing summarizing and sharing important, up-to date information about an individual health.
Abstract
NEW EMPLOYEE ATTENDANCE MANAGEMENT SYSTEM FOR SCHOOLS AND UNIVERSITIES USING IOT
Shri Harsha J, Nihal S Hulikal, Chethan Gowda J T
DOI: 10.17148/IJIREEICE.2022.10616
Abstract: RFID based employee attendance management system proposes a non-contact temperature measurement and attendance monitoring system for the COVID 19 pandemic. This design was developed using an ESP8266, infrared thermometer and RFID reader. It uses an infrared temperature sensor to measure body temperature in a non-contact manner. An RFID card reader is used to scan the ID card. The employee ID number and temperature will be uploaded to the website. This website can be monitored via the internet. Details such as entry time, ID number, and temperature readings are stored on the server and displayed on the website. The temperature sensor can measure the temperature when the distance between the sensor and the person is about 10 cm, which improves the accuracy. This system is essential in this pandemic situation to prevent infection.
Keywords: RFID, Cloud Computing, COVID, IOT.
Keywords: RFID, Cloud Computing, COVID, IOT.
Abstract
Graphical Password Authentication
Mrs. SK. Rahimunnisa, Sarayu Ginni, Sathivilli Praveena, Ravalapodi Pavani, Velaga Neeraja, Potnuru Kranthi
DOI: 10.17148/IJIREEICE.2022.10617
Abstract: A graphical password is an authentication system that works by having the user to select from images, in a specific order, presented in a graphical user interface. Computer security largely depends on the passwords to authenticate the users from the attackers. Generally, the computer authentication method that is used is alphanumerical usernames and passwords. However, this method has some significant drawbacks. To address these kinds of problems, some researchers have developed the authentication methods that use pictures as passwords. In this project, we conduct a comprehensive survey of the existing graphical password techniques and provide a possible theory and the domain is Block chain and Cyber security. The algorithm that is used in this project is Persuasive cued click points (PCCP) With Improved Advanced Encryption Standard (IAES). The PCCP and IAES features are implemented together for the graphical password authentication system. Graphical passwords have been proposed as an alternative to the text-based schemes, by the fact that humans can remember pictures better than text since pictures are generally easier to be remembered or recognized than text.
Abstract
Cloud based Secure Employee Review Management System
Pragnya Y S, Anchita, Sonali Sakshi, Krishnamurthy H
DOI: 10.17148/IJIREEICE.2022.10618
Abstract: Cloud computing is gradually and slowly becoming accepted in different sectors and the businesses are beginning to adopt the cloud’s shared infrastructures and applications. Most of the companies like Amazon, Google, Microsoft and Netflix all rely on cloud computing in order to deliver their services with countless untapped benefits that are yet to be discovered, the future is bright for cloud computing. Cloud is like an infinite resource pool which is a virtualization concept. Both hardware, software resources are packaged to work as services, users can access it and use it according to their needs using the Internet. Users typically pay only for cloud services they use, helping lower their operating costs, run infrastructure more efficiently and scale as their business needs change. Cloud computing provides the following benefits - Cost saving, Faster deployment, Reliability, Easy mobility, Unlimited Storage capacity, Easy collaboration, Web based control, Security and many more. The need for cloud based secure Employee Review Management System (ERMS) is due to the fact that one of the basic challenges of Enterprises is human resource management and how to effectively manage employee information. The main motive of our cloud-based solution for employee management system is to adapt cloud infrastructure to achieve scalability, performance and efficient resource sharing. We are proposing a solution using Service Oriented Architecture with NoSQL databases. The modules that will be implemented are Authentication, Role Management, Profile manager, Scheduler, MIS(Report generation). Technologies that will be used for this project are MongoDB databases that will be used to store the data which is given as input by the user and for the front-end React and JavaScript will be used. The service layer will be made using Jersey (JAVA JAX-RS) API’s.
Keywords: ERMS, Cloud, Virtualization, Authentication, Deployment, Profile management, Scheduler, Report generation.
Keywords: ERMS, Cloud, Virtualization, Authentication, Deployment, Profile management, Scheduler, Report generation.
Abstract
Ruthless Encounter using IoT
Taniya S J, Raghunandan P, Sharat P, Safwan M, Prof. Shilpa B
DOI: 10.17148/IJIREEICE.2022.10619
Abstract: The armed forces across the globe uses robots that helps them to perform different risky tasks which is difficult for the soldiers to perform. The robots consist of integrated system which are used in military, video screens, sensors and cameras are also included. To trace out the trespasser with the help of wireless sensor network and to take the necessary action. Thus, this prototype can save the soldier’s life and minimize the error in defence side using this Prototype. Keeping in the soldier’s life into consideration and to protect the country from enemies this is one of the specially designed system.
Keywords: IoT, GSM, PIR Sensor, IR Sensor, Bluetooth, Gas Sensor, Intelligent Unmanned Robot (IUR): IoT Wireless Network: Military Robot etc.
Keywords: IoT, GSM, PIR Sensor, IR Sensor, Bluetooth, Gas Sensor, Intelligent Unmanned Robot (IUR): IoT Wireless Network: Military Robot etc.
Abstract
Gesture based Controlled Robot
Navneet, Prashant Kumar, Ravi Prakash Singh, Servottam Kumar, Rajendra M
DOI: 10.17148/IJIREEICE.2022.10620
Abstract: The Sixth Sense Technology is a method of teaching a machine or a computer to recognise and perceive real- world items and respond appropriately. Sixth Sense technology connects the physical and digital worlds by upbringing the intangible digital data into the real world and which allows us to interact through natural hand gestures. Computer vision, augmented reality, gesture recognition and radio frequency identification are used to implement Sixth Sense Technology. It's a new concept that allows users to connect to the internet without interruption. We can easily access, update, and move data without using a keyboard or mouse. Various technologies have been used to develop new ways for humans and robots to interact. The device is based on the principles of image processing and gestural recognition. Gestures are a popular approach to control the robotic vehicle and improve the interface. The user does not require to make physical touch with the gadget to engage in this interactive technique. It aids in bridging the interactive system's technology gap. The robotic vehicle is controlled in this project by recognising real-time gesture commands from the user, which is accomplished utilising image processing algorithms and embedded approaches.
Keywords: Gesture, Robot, Arduino uno and L239D Motor driver, DC motor, Camera, Laptop, Tracking ball.
Keywords: Gesture, Robot, Arduino uno and L239D Motor driver, DC motor, Camera, Laptop, Tracking ball.
Abstract
STORAGE AND VALIDATION OF CERTIFICATES USING CRYPTOGRAPHY
Mrs. B. Haritha Lakshmi, S. Dhana Lakshmi, T. Lalitha, P. Sivani, M. Sai Kavya Sri, M. Padmavati
DOI: 10.17148/IJIREEICE.2022.10621
Abstract: In today’s modern world, generation of fake certificates is not a big deal. In educational institutions and Recruitment Organizations, the problem of submission of forged certificates is increasing. It is difficult for the Authorities to identify a certificate as original or modified. Storing the original certificates with Digital Signatures and Hash codes, helps us identify a certificate distinctly, later we can able to validate any copy of the certificates we stored and prove it as original one based on generation of hash code for the certificate we want to validate. Today, cryptography is used to protect digital data. It is a division of computer science that focuses on transforming data into formats that cannot be recognized by unauthorized users. A digital signature is a mathematical technique used to validate the authenticity and integrity of any data.SHA-256 is used to produce Hash codes for the certificates, it generates an almost-unique 256-bit signature for any data. SHA-256 is one of the successor hash functions to SHA-1, and is one of the strongest hash functions available.
Keywords: Cryptography, Digital signature, Hash code, SHA256.
Keywords: Cryptography, Digital signature, Hash code, SHA256.
Abstract
Modeling of Reaction Wheel
Jahnavi V, Vibha S, Manash Sarkar
DOI: 10.17148/IJIREEICE.2022.10622
Abstract: Precision attitude control subsystems are now more essential than ever because of recent developments in the spacecraft manufacturing sector. One of the complex spaceship subsystems, attitude control, is frequently hampered by both internal and external disturbances. The output torque of a reaction wheel should, in theory, be proportional to the input current, even though there are numerous disturbances in practice. This proposal provides a technique to implement the change in the allocated torque to the wheel that takes disturbance torques into account. The results then demonstrate how disturbance torques affect the reaction torque and wheel speed of the reaction wheel.
Keywords: Reaction Wheel, Attitude Control System (ACS), Wheel Torque, Spacecraft Dynamics
Keywords: Reaction Wheel, Attitude Control System (ACS), Wheel Torque, Spacecraft Dynamics
Abstract
FALL DETECTION AND ALERT SYSTEM USING IOT
Mrs. D. Kiranmayi, Pudi Hema Latha, Singuru Kavya, Tangudu Sowmya, Tammineni Priyanka
DOI: 10.17148/IJIREEICE.2022.10623
Abstract: The purpose of this project is to detect falls by using inertial sensors embedded in hearing instruments. Falls represent a major public health risk worldwide for elderly people. In that sense, the present work proposes an innovative IoT-based system for detecting falls of elderly people in indoor environments, which takes advantage of low-power wireless sensor networks, and smart devices.This alert can be manually operated as well in case of any other emergencies that do not trigger the fall detection.
Keywords: IoT, Arduino IDE.
Keywords: IoT, Arduino IDE.
Abstract
Tracing Missing Children by DNA Matching Using Bayes Classification Algorithm
Mr.L.Jaga.Jeevan.Rao, Pushpa Kanda, Yanaparthi Poornima, Relangi Ramya, Reyyi Likhita
DOI: 10.17148/IJIREEICE.2022.10624
Abstract: Talking about the present scenario, we all are aware how unsafe our society is for children and women. There hasbeen an alarming increase in the child missing reports registered in different parts of the world. According to a report published by The Indian Express, around 22,567 children went missing out of which 12,999 were traced back in 2019 and according to Delhi Police PCR around 17-12(2019-2020) kids goes missing everyday which is very traumatic for the loved ones and the relatives of the children. It shows how many loop holes are there in our law enforcement agencies. There can be varied reasons for missing children like abduction or kidnapping by someone, humantrafficking, child willingly leaving his/her home, etc. To find a match between specific parent and child DNA we use Bayes Classification Repeats.
Abstract
Object Detection and Tracking using OpenCV
Nandini A, Preethi MP, Mrs. Kavitha Patil
DOI: 10.17148/IJIREEICE.2022.10625
Abstract: A well-known application of computer vision and image processing, object detection focuses on finding objects or instances of those items in digital photos and videos. Face detection, character recognition, and vehicle calculation are just a few of the well-researched object detection applications. There are several uses for object detection, including retrieval and surveillance.
A wide, active, and challenging field of computer vision is real-time object detection. Image localization refers to the process of finding a single object in an image, while object detection refers to the process of finding several objects in an image. This recognises a class of semantic items in digital photos and movies.
A wide, active, and challenging field of computer vision is real-time object detection. Image localization refers to the process of finding a single object in an image, while object detection refers to the process of finding several objects in an image. This recognises a class of semantic items in digital photos and movies.
Abstract
Advanced Driver Assistance System Using Machine Learning
Dr.Jyoti Metan, Preran M Kyasvar, Sahana K C, Sahana K H
DOI: 10.17148/IJIREEICE.2022.10626
Abstract: Autonomous vehicles are apparently being implemented in today's vehicles as keeping a car on the regular track or lane is an important and common task for people of all ages. It may be difficult for the elderly, physically disabled people, or young drivers at night or in varying weather conditions. As a result, this driver assistance system will undoubtedly assist such individuals and potentially avoid accidents. In this paper, we analyze the lane deduction to keep the car going in the right direction using the canny edge algorithm to deduct edges and curves so as to reduce night accidents and ensure a safe drive.
Keywords: Canny Edge Detection, Sliding Window, Resize, Video Capture
Keywords: Canny Edge Detection, Sliding Window, Resize, Video Capture
Abstract
VOICE BASED ONLINE/OFFLINE VIRTUAL ASSISTANCE FOR WINDOWS
Mr. Prajwal Y R, Mr. Sanjay H S, Mr. Tharun R, Mrs. Shruthi B
DOI: 10.17148/IJIREEICE.2022.10627
Abstract: In this modern era, day to day life became smarter and interlinked with technology. We already know some voice assistance like google, Siri. etc. Now in our voice assistance system, it can act as a basic medical prescriber, daily schedule reminder, note writer, calculator and a search tool. This project works on voice input and give output through voice and displays the text on the screen. The main agenda of our voice assistance makes people smart and give instant and computed results. The voice assistance takes the voice input through our microphone (Bluetooth and wired microphone) and it converts our voice into computer understandable language gives the required solutions and answers which are asked by the user. This assistance connects with the world wide web to provide results that the user has questioned. Natural Language Processing algorithm helps computer machines to engage in communication using natural human language in many forms
Abstract
Matrix Converter Fed Induction Motor Drive for Smooth Operation
Dr. P. Chandra Sekhar, Kasoju Bharath Kumar
DOI: 10.17148/IJIREEICE.2022.10628
Abstract: This paper a new technique of converter called matrix converter which supplies the induction motor for a smooth operation. Conventionally, the different type of multi-level inverters is used to feed the induction motor which is used in EVs where there are lot of torque ripples in the machine. Replacing the Multi-level inverters with a matrix converter, there is a very smooth operation under load and no-load conditions. The simulation results of the method are presented.
Keywords: Matrix Converter, Induction motor drives, ripples, Multi-level inverter
Keywords: Matrix Converter, Induction motor drives, ripples, Multi-level inverter
Abstract
Study of Different Tepologies for Fast Charging Strategy for Electric Vehicles
Manoj J. Deshmukh, Vijay S. Pawar, Suraj R. Jadhav, Amol S. Nikam, Snehal M. Bhingardeve
DOI: 10.17148/IJIREEICE.2022.10629
Abstract: Indeed, even with the present advances in high innovation, the notoriety of vehicles (electric) stays restricted and it is unfit to turn into a standard mode of transportation. The fundamental justification behind this is on the grounds that the battery pack's streams or limits, like its cumbersomeness, high weight (weighty), and gradualness accused of s short life expectancy and high poisonousness risk.
Among them are - because of these issues, slow charging speed becomes the main variable to consider. When it comes to purchasing an electric vehicle there are a couple of interesting points. In this manner, different charging procedures should be completely examined to track down the proper solution to these issues. In the present serious battery charging strategy, numerous charger makers guarantee to have the option to charge the batteries in just 1 hr or less. Different charging techniques, like consistent voltage, steady current and beat the charge, have been researched and contrasted all together with the augment the exhibition. Charging time changes relying upon the kind of battery pack.
Keywords: Lithium-Ion Battery: Inverter: EV: Smart Vehicle
Among them are - because of these issues, slow charging speed becomes the main variable to consider. When it comes to purchasing an electric vehicle there are a couple of interesting points. In this manner, different charging procedures should be completely examined to track down the proper solution to these issues. In the present serious battery charging strategy, numerous charger makers guarantee to have the option to charge the batteries in just 1 hr or less. Different charging techniques, like consistent voltage, steady current and beat the charge, have been researched and contrasted all together with the augment the exhibition. Charging time changes relying upon the kind of battery pack.
Keywords: Lithium-Ion Battery: Inverter: EV: Smart Vehicle
Abstract
Emergency Vehicle Detection
Dr. Mamtha T, Dipyaman Deb, Adarsh Priya Srivastava, Anup Patel, Aditya Kumar
DOI: 10.17148/IJIREEICE.2022.10630
Abstract: in this paper we describe a system that is capable of detecting emergency vehicle which helps in clearing the path for the vehicle. We are using gsm, gps and Rfid technology and sensors to implement this system. Gsm is used for sending alert messages while gps for sending real time location so that we can clear the path in required time. Sensors are used for detection of vehicles. Microcontroller is used as an interface for gsm gps and rfid.
Abstract
IOT-BASED SMART WASTE MANAGEMENT SYSTEM
Mr. Devraj Y, Mr. Senakula Badrinath, Mr. Shashikanth C, Mr. Omprakash B
DOI: 10.17148/IJIREEICE.2022.10631
Abstract: Along with the development of the Internet of Things (IoT), waste management has appeared as a serious issue. Waste management is a daily task in urban areas, which requires a large amount of labour resources and affects natural, budgetary, efficiency, and social aspects. Many approaches have been proposed to optimize waste management, such as using the nearest neighbour search, colony optimization, genetic algorithm, and particle swarm optimization methods. However, the results are still too vague and cannot be applied in real systems, such as in universities or cities. Recently, there has been a trend of combining optimal waste management strategies with low-cost IoT architectures. In this paper, we propose a novel method that vigorously and efficiently achieves waste management by predicting the probability of the waste level in trash bins. By using machine learning and graph theory, the system can optimize the collection of waste with the shortest path.
Abstract
Intruder Detection System
Sathisha G, Anjali Sharma, Avinash Kumar, Manish Kumar Mishra, Sahil Bhuwalka
DOI: 10.17148/IJIREEICE.2022.10632
Abstract: The system proposed is a solution for securing any physical system at a particular place. Deep Learning has been used to develop the system. We have used Viola Jones’s one of the facial features-based face(s) detection algorithm, along with Local Binary Pattern Histogram (lbph) algorithm for face recognition to recognize whether it’s an intrusion or not. Open CV has been used for computer vision for image processing. The result of the proposed system shows that the system is able to detect all the faces trying to come inside the secured area and recognize the intruders, along with sending a notification to the owner or the required authority and activate the alarm on intrusion. This IDS can also be used for observational purposes.
Keywords: Viola Jones, Open CV, IDS, Linear Binary Pattern Histogram, Haar Cascade
Keywords: Viola Jones, Open CV, IDS, Linear Binary Pattern Histogram, Haar Cascade
Abstract
SANITARY NAPKINS VENDING MACHINE
Mr. NIKHIL D. BRAMHANE, Miss. SHILPA S. GHARDE, Miss. PUJA J. YERME, Miss. SEEMA M. VAIDYA, Prof. M. M. RAMTEKE, Prof. A. R. TONGE
DOI: 10.17148/IJIREEICE.2022.10633
Abstract: This Machine is a fully automatic coin slot, power bank operated machine. During this model coin mechanism is programmed by detection of IR sensor. The unit is additionally supplied with automatic power backup just in case of equipment failure. The unit is supplied with physical inspection window for availability of Napkins. The unit can be wall mounted. The machine contains a storage capacity of fifty Napkins. Our slot machine provides a High solid state Electronic Technology with mechanical advancement. It mainly incorporates single column of horizontal spring which loads the products. The spiral is operated by the low torque, high load DC motor, controlled by the microcontroller which is programmed to sense the impulse of the coin when inserted. This mainly constitutes of a really simple mechanism of ‘drop and collect’.
Keywords: Sanitary Napkin, Vending Machine,Mechatronics.
Keywords: Sanitary Napkin, Vending Machine,Mechatronics.
Abstract
ELECTRIC BICYCLE
Mr. KRISHNA KUMAR SINGH, Mr. RAJESH KUMAR, Mr. SNEHARTHI CHATTARAJ, Prof. YOGESH B. MANDAKE, Dr. DEEPAK S. BANKAR
DOI: 10.17148/IJIREEICE.2022.10634
Abstract: The main aim of this review paper is to present the idea of harnessing use it in today’s existence of human life and the various energy. Now-a-days there are so many vehicles on road, which hazards our environment and also reduce the consumption of fuel. It is our responsibility to reduce the consumption of fuel and its hazardous emission products. Taking this into consideration it is our small step towards reducing the use of more attract the eye of people towards and fuel consuming vehicles towards its alternatives i.e., Electric bicycle. So we intend to design a cycle which would run on an alternative source and also reducing human efforts called as Battery Operated Cycle. In this paper we design an alternative mode of transport for betterment of social and environment.
Keywords: Electric bicycle, Direct current motor (DC motor), controllers, Battery, Battery charger, Throttle, Chain and Sprocket, Key switch etc.
Keywords: Electric bicycle, Direct current motor (DC motor), controllers, Battery, Battery charger, Throttle, Chain and Sprocket, Key switch etc.
Abstract
Smart Health Prediction System
A. Shikhar Pratap Singh, B. Subham Kumar Dahiya, C. Syed Imaad Ur Rahman, D. Tanmay Gupta
DOI: 10.17148/IJIREEICE.2022.10635
Abstract: SMART HEALTH PREDICTION SYSTEM is a system which makes prediction the illness looking at the info or the symptoms the person enters, providing perfect results based of the info. If the user is not too serious and the user just wants to know the type of illness they have. It is a system which gives the user the tips and tricks to maintain the health system of the user and it gives a way to find out the illness using this prediction. In today’s world, health industries play a major role in treating the illness of the users so this is also some kind of help for the health areas to tell the user and also it is useful for the user in case they does not want to go to the clinic or any other clinics, so just by entering the symptoms and all other useful info the user may get to know the illness they is suffering from and the health areas may also get benefit from this system by just asking the symptoms from the user and entering in the system and in just few seconds they may tell the exact and up to some extent the perfect illness. This SMART HEALTH PREDICTION SYSTEM is completely done with the help of ML and Python lang. with T-kinter Interface for it and also using the data-set that is available before by the clinics using that we will make prediction of the illness.
Keywords: database, email verification, analysis, prediction, statistics mining, device gaining knowledge of;
Keywords: database, email verification, analysis, prediction, statistics mining, device gaining knowledge of;
Abstract
PLANT DISEASE DETECTION USING MACHINE LEARNING
Mrs. VIMALA K, PALLAVI, SHAHBAAZ PASH, AMULYA GHANTI, ARBAZ AKHTAR
DOI: 10.17148/IJIREEICE.2022.10636
Abstract: Plant is exposed to many attacks from various micro-organism, bacterial disease and pests. The symptoms of the attacks are usually distinguished through the leaves, stem or fruit inspection. Disease that are commonly attack plants are Powdery Mildew and Leaf Blight and it may cause severe damaged if not controlled in early stages. Image processing has widely being used for identification, detection, grading and quality inspection in the agriculture field. Detection and identification disease of a plant is very important especially, in producing a high-quality fruit. Leaves of a plant can be used to determine the health status of that plant. The objective of this work is to develop a system that capable to detect and identify the type of disease based on Blobs Detection and Statistical Analysis. A total 45 sample leaves images from different colour and type were used and the accuracy is analysed. The Blobs Detection technique are used to detect the healthiness of plant leaves. While Statistical Analysis is used by calculating the Standard Deviation and Mean value to identify the type disease. Result is compared with manual inspection and it is found that the system has 86% in accuracy compared to manual detection process.
Abstract
Chocolate Vending Machine using Raspberry Pi
Miss. Sneha K. Gainwar, Prof. A. R. Manusmare
DOI: 10.17148/IJIREEICE.2022.10638
Abstract: This paper includes chocolate dispensing machines which are an integrated system. The main objective of our project is to launch new technology application in society. This machine can operate by UPI as well as card in order to dispense required amount Chocolate. This system is based on RFID card and UPI payment system in which if any card or UPI payment is detected then chocolate will get dispensed from the nozzle depending on selection of chocolate. It aims at advanced management of the whole chocolate vending machine previously used. The machine may be used to dispense chocolate into container; such chocolate-dispensing machine will be useful in any places like railway stations, bus depots, public areas, colleges, big institutions, government offices, courts, holy places, hospitals, etc. and especially in highly populated countries.
Keywords: RFID tag, chocolate management, UPI payment, DC motor, RaspberryPi, vending machine.
Keywords: RFID tag, chocolate management, UPI payment, DC motor, RaspberryPi, vending machine.
Abstract
Human Body Action Recognition System Using ELM Algorithm
Dhananjay Vijayrao Gharad, Dr. A.O. Vyas
DOI: 10.17148/IJIREEICE.2022.10639
Abstract: Human action recognition is the field of research that has gained importance in the recent years because of its wide range of applications spread across different fields. Human action recognition plays a crucial role in human-to- human interaction and also interpersonal relations as it provides the information about the identity, personality and psychological state of the person. The human ability to recognize other person’s activities is one of the major subjects of study of the scientific areas of computer vision and machine learning and because of this research many applications such as video surveillance systems, human-computer interaction, control free gaming systems, etc. require multiple action recognition system. Human action recognition also has a very significant use in security systems installed in public places to track any suspicious activity or threat. This project aims to develop an algorithm which can recognize actions such as jogging, bending, bowling, jumping, kicking, running etc. from the input video sequences. The multiple actions in the video sequence will be detected with each passing frame of the video sequence.
Keywords: Human action recognition, computer vision and machine learning.
Keywords: Human action recognition, computer vision and machine learning.
Abstract
Review On Human Body Action Recognition System Using ELM Algorithm
Dhananjay Vijayrao Gharad, Dr. A.O. Vyas
DOI: 10.17148/IJIREEICE.2022.10640
Abstract: Human action recognition is the field of research that has gained importance in the recent years because of its wide range of applications spread across different fields. Human action recognition plays a crucial role in human-to- human interaction and also interpersonal relations as it provides the information about the identity, personality and psychological state of the person. The human ability to recognize other person’s activities is one of the major subjects of study of the scientific areas of computer vision and machine learning and because of this research many applications such as video surveillance systems, human-computer interaction, control free gaming systems, etc. require multiple action recognition system. Human action recognition also has a very significant use in security systems installed in public places to track any suspicious activity or threat. This project aims to develop an algorithm which can recognize actions such as jogging, bending, bowling, jumping, kicking, running etc. from the input video sequences. The multiple actions in the video sequence will be detected with each passing frame of the video sequence.
Keywords: Human action recognition, computer vision and machine learning.
Keywords: Human action recognition, computer vision and machine learning.
Abstract
AUTOMATIC BRAKING SYSTEM USING ULTRASONIC SENSOR
Devender Kumar J Pal, Adnan Mohi Ud Din Dar, Durgesh Chandrakar, Shripad G Desai
DOI: 10.17148/IJIREEICE.2022.10641
Abstract: The majority of successful mechatronic automatic braking systems have an ultrasonic wave emitter installed on the front of the vehicle, which generates and emits ultrasonic waves. Additionally, a reflecting Ultrasonic wave signal is operationally received by an ultrasonic receiver that is mounted to the front of the automobile. The distance between the obstruction and the vehicle is determined by the reflected wave (detected pulse). Then, for safety reasons, a microcontroller is used to manage the speed of the vehicle based on the information from the detecting pulse to depress the brake pedal and apply the brakes firmly to the automobile.
Abstract
Gesture Controlled ATV
Gaurav Kumar, Tanya Verma, Prathamesh Shinde, Naveen Kumar, Ramgopal Sahu
DOI: 10.17148/IJIREEICE.2022.10642
Abstract: All terrain vehicles (ATV) are used in difficult and harsh terrain for mobility and logistic support. An electrically powered ATV is silent, agile and robust. This vehicle can be used to carry the heavy and bulky items of user while they navigate through offroad terrains. In the proposed system, we implemented control of all terrain vehicle using gesture based control logic on Arduino Microcontroller. We will read the data from different sensors and communicate with ATVs ECU(Electronic control unit) to move the vehicle in desired direction in controlled manner.
Keywords: Hand Gesture, Gyroscope, ARDUINO, ATV, MPU6050
Keywords: Hand Gesture, Gyroscope, ARDUINO, ATV, MPU6050
Abstract
Ticketbee-digital ticket system for bus
Mrs. Pallavi T P, Anjali, Ashvitha B, Harshit Kumar
DOI: 10.17148/IJIREEICE.2022.10643
Abstract: Global Forest Resource Assessment has stated that nearly,000 to,000 trees are diced down encyclopedically daily for paper product which ends up in deforestation which consecutively contributes to temperature change. Further more in any vehicle System, once the passenger reaches the destination, the ticket isn't any longer useful and is ultimately thrown down. to beat these issues, a wise marking system to support the conception of digitalization by introducing a paperless system for transport System( PTS) is presented named as ticketbee. motorcars are an integral means of transport in India. In metropolitan metropolises like Mumbai and Delhi, 10- 15 million people travel through vehicle motorcars daily. moment, within the period of Digital India( a crusade launched by the govt. of India) and Cashless Economy, transport has to acclimatize the technology advancement. while the general public transport motorcars are furnishing fairly satisfactory services, there is a demand for smart and dependable system. the crucial problems endured by the passengers are overdue waiting time at machine stops, lack of plutocrat there, waste produced because of paper tickets, negligence to produce seat to other passengers, etc. therefore, to produce an nimble and smooth marking experience, we have got proposed the smart operation from that we'll track machine status, book seat for passenger, can reserve ticket digitally and mode of payment are cashless thereby promoting digitalization and smart metropolisesenterprise.
Keywords: E-ticketing; Public transport bus; Seat allotment; Digital India; Cashless Economy; Smart city initiatives.
Keywords: E-ticketing; Public transport bus; Seat allotment; Digital India; Cashless Economy; Smart city initiatives.
Abstract
Handwritten Text Recognition System using Convolutional Neural Network
Ms. B. Padmaja, Teppala Pushpa Harika, S. P. V. Pooja Manasa, Tumpala Pushpalatha, Molleti Sai Sri Vallika
DOI: 10.17148/IJIREEICE.2022.10644
Abstract: Character recognition is one in all the emerging fields within the computer vision. The most abilities of humans are they will recognize any object or thing. The hand transcription can easily identify by humans. Different languages have different patterns to spot. Humans can identify the text accurately. The hand transcription cannot be identified by the machine. It's difficult to spot the text by the system. During this text recognition, we process the input image, extraction of features, and classification schema takes place, training of system to acknowledge the text. During this approach, the system is trained to seek out the similarities, and also the differences among various handwritten samples. This application takes the image of a hand transcription and converts it into a digital text.
Abstract
UNIQUE REQUEST TO PERSONAL VIRTUAL ASSISTANCE OF WINDOWS VIA GSM
Sri Lakshmi S, Tejashree A, Varshitha R, Yashwanth B N, Mrs. Semma J
DOI: 10.17148/IJIREEICE.2022.10645
Abstract: The main goal of Artificial intelligence [AI] is to relate between machines and humans. There are many IT companies have using the dialogue systems to have various personal virtual assistance based on their applications. As we know that nowadays everything is shifting to virtual and all the technologies are interconnected to each other. Sending calls using Arduino and GSM module via registered number, in this we are using SIM900 it is a GSM Modem this allows GPRS transmission and receives the calls. We have many personal virtual Assistance for windows these days like cortana , Braina , Siri , Google Assistance and Siri Shortcuts etc. This Project works on sending unique requests to our personal virtual assistance via GSM . The main Theme of this project is to give otimized output to the people request instantly , making them to think smarter, helps in multitasking , home automation.
Abstract
Prepaid Energy Meter with GSM Modem using pic microcontroller
Sneha B. Mali, Aman A. Patil, Abhijeet S. Shinde
DOI: 10.17148/IJIREEICE.2022.10646
Abstract: The outdated way for deposition of a bill of energy consumption results in unwanted fault and wastage of time. Thus this paper imposes a completely new idea of " Prepaid Energy Meter with GSM Modem using pic microcontroller’’ to facilate power utility and minimize the labor work. Proposed system is good for electricity distribution board, non-public companies, IT parks & in residential areas also. The motive of this paper is to develop and design a Prepaid Energy Meter based on SMS technology using GSM. In this technique some threshold data is set for unit consumption and it stops the energy supply when amount of unit consumption goes below the threshold value. After it reaches the threshold limit an alert message is sent via GSM i.e. as it reaches the subsidy unit. After it reaches it's monthly limit, it gives an alert message which indicates the bill amount. If the bill amount is not reimbursed then electricity will automatically be shut down after a period of time. Here only registered SIM card number is used to get information about the bill. If the consumer changes the mobile number and fails to register that changed number then the information won't reach the consumer
Keywords: Transformer, Bridge Rectifier, Voltage Regulator, LCD Display, Microcontroller Pic 18F452, Energy Meter, Max 232, GSM Modem
Keywords: Transformer, Bridge Rectifier, Voltage Regulator, LCD Display, Microcontroller Pic 18F452, Energy Meter, Max 232, GSM Modem
Abstract
Leisure sports for promotion of Health
Ramakant D. Bansode, Dr. Vandana Singh
DOI: 10.17148/IJIREEICE.2022.10647
Abstract: The importance of a Leisure sports is linked to a higher quality of life as well as Health Promotion. It is well documented that regular playing of Leisure sports in childhood and adolescence improves strength and endurance, helps build healthy bones and muscles, helps control weights, reduces anxiety and stress, increases self-esteem and may improve blood pressure and who have regular, sequential Leisure sports are stronger students – physically and mentally. Leisure sports enhances the mind-body connection, which can improve mood and physical health – and even lighten various psychological disorders. Improved depression, body image struggles, eating disorders, and even physical problems such as back pain and asthma are some of the health benefits of exercise.
Abstract
Thermal Stability Analysis of Radiation Hardened 14T and 15T Differential Ended SRAM Cells for Outer Space by 22nm Technology
Dharma Teja Lanka, S. Rajendra Prasad, K. Srinivasa Rao
DOI: 10.17148/IJIREEICE.2022.10648
Abstract: Static Random Access Memory is a volatile type of memory used for enhancing the data rate of operations in devices for outer space applications. The semiconductor devices might be damaged or would experience a malfunction resulting in software errors due to avionics and radiation conditions. The ionising particles in space may lead to the state of change in the memory cell and distract the multiple bit operations in the written mode. This phenomenon is known as a single event upset (SEU). Scientific Advancements in various technologies and architecture design of SRAM are being introduced. Consequently, SEU type of errors could not be prevented but could be minimized to a significant extent. Here a 14 T based 3 terminal and 4 terminal CMOS SRAM cell is designed and is compared with a 15T 3 terminal and 4 terminal SRAM cell. Circuits are implemented using Tanner 16.5 version. Using MATLAB, performance metrics like SNM, read delay and write delay are observed. The proposed 15T SRAM cell improves the performance in terms of deviation in HSNM by 79%, 2% from 13T and proposed 14T SRAM cells during the rise in temperature. The CMOS SRAM cell is designed to minimize leakage by reducing the operating voltage. The proposed cells are also implemented using FinFET, CNTFET, and GNRFET technologies in the development stage. In the proposed 15T SRAM cell, power is reduced by 12.8%, and the delay factor reduced by 13.2% compared to 13T SRAM cell.
Keywords: SRAM, RHBD, HSNM, SEU, FINFET, CNTFET, GNRFET.
Keywords: SRAM, RHBD, HSNM, SEU, FINFET, CNTFET, GNRFET.