INTERNATIONAL JOURNAL OF ADVANCED RESEARCH AND REVIEW (IJARR)
type: channel
description: Welcome to IJARR The International Journal of Advanced Research and Review (IJARR) is a peer-reviewed, open-access international scientific journal dedicated to the rapid monthly publication of high-quality, original research articles, case reports, and review papers across all disciplines. With an internationally recognized editorial board, IJARR is committed to producing research content of the highest standard. Our goal is to foster long-lasting, mutually beneficial relationships with our authors, providing comprehensive support throughout the entire publishing process—from submission to post-publication. Editor- In-Chief : Dr. Rajeev Mehra Title proper : INTERNATIONAL JOURNAL OF ADVANCED RESEARCH AND REVIEW (IJARR) Issn : 2455-7277 Subject : Research Sciences Publisher : IJARR Publishers Dates of publication : 2016 Frequency : Monthly Language : English Country : India Medium : Online Indexed by : CROSSREF Indexed by : ROAD Indexed by : THE KEEPERS Title DOI of the Journal : http://doi.org/10.70914/issn.2347-2251
publisher: IJARR Publishers
language: en
publication name: INTERNATIONAL JOURNAL OF ADVANCED RESEARCH AND REVIEW (IJARR)
issn: 2455-7277
items: Design and Analysis of Multi-Protocol Conversion Unit for SPI, I2C and UART
items: Low Power Crypto-chip Design for IoT Applications
items: E-Vote Secure: An AI-Powered Electronic Voting Machine Using Face Recognition and Raspberry Pi
items: LoRa Based Low-Cost Real-Time Air Quality Monitoring System
items: Vehicle Accident Alerting and Monitoring with IOT-based Data Analytics
items: Hand Motions Based Virtual AI Mouse
items: IOT-based Design and Simulation of Smart Greenhouse Monitoring and Control System
items: VLSI Implementation of Image Encryption and Decryption Using Reversible Logic Gates
items: AI-Powered Edge Vision Traffic Management Platform for Real Time Monitoring and Congestion Reduction
items: Spoonie: Self-Stabilizing Feeding Spoon for Tremored Hands
items: Comprehensive Integration and Implementation of Air Quality Monitoring Technology for Respiratory Health in Cardiovascular and Asthmatic Individuals
items: Enhancing Road Safety with an AI-Powered System to Detect Driver Drowsiness
items: An Investigation of Solar-Powered Grid-Integrated Electric Vehicle Charging Modules for Smart Cities
items: Electric Vehicle Wireless Charging on the Go
items: Transformer Parameters Tracked in Real Time Internet of Things (IoT)
items: Enhancing Insider Threat Detection with Machine Learning Techniques
items: Design and Implementation of Hand Gesture Based Virtual Mouse
items: A Study on Comparative Analysis of Machine Learning Models For Melon Growth Prediction
items: A Review of Generative AI in Recommendation Systems
items: Partnerships for Real-Time Threat Intelligence to Strengthen Cyber Defenses
items: Digital Forensics and Artificial Intelligence: Revolutionizing Crime Scene Investigations
items: Using Convolutional Neural Networks for Classification of Satellite Images
items: Consumption of technical threat intel indicators
items: Using Deep Convolutional Neural Networks with Transfer Learning for Reptile and Amphibian Classification
items: Optimized Structural Analysis and Design of a Long-Span Pre-Engineered Steel Warehouse Using STAAD.Pro
items: INTEGRATED STABILITY AND STRUCTURAL PERFORMANCE EVALUATION OF AN RCC GRAVITY DAM UNDER MULTI-LOAD CONDITIONS
items: HYDROSTATIC LOAD RESPONSE ANALYSIS OF A RECTANGULAR REINFORCED CONCRETE WATER TANK
items: FINITE ELEMENT–BASED STRUCTURAL ANALYSIS OF AN RCC BOX CULVERT UNDER COMPLEX LOADING CONDITIONS USING STAAD.PRO
items: STUDENT ATTENDANCE MANAGEMENT SYSTEM USING RFID TECHNOLOGY
items: DESIGN AND IMPLEMENTATION OF AN AUTOMATED IOT BASED FISH FEEDING SYSTEM

Design and Analysis of Multi-Protocol Conversion Unit for SPI, I2C and UART
type: item
description: The rapid proliferation of heterogeneous embedded systems has created an acute demand for intelligent hardware that can seamlessly bridge fundamentally different serial communication protocols. Modern Internet of Things (IoT) nodes, industrial automation platforms, automotive electronics, and medical instrumentation routinely require simultaneous interfacing with sensors, actuators, and processing elements that each expose a different communication standard. The absence of a unified, hardware-level protocol conversion fabric forces system designers to resort to inefficient software-driven translation layers that introduce latency, consume excessive processing bandwidth, and fail to scale with increasing data throughput requirements. This thesis presents the complete design, implementation, and analysis of a Multi-Protocol Conversion Unit (MPCU) capable of performing bidirectional, low-latency conversion between three of the most widely deployed synchronous and asynchronous serial communication protocols: Serial Peripheral Interface (SPI), Inter-Integrated Circuit (I2C), and Universal Asynchronous Receiver-Transmitter (UART). The proposed architecture is described entirely in synthesizable Register-Transfer Level (RTL) Verilog, enabling direct implementation on commercially available Field-Programmable Gate Arrays (FPGAs) or integration into custom Application-Specific Integrated Circuit (ASIC) flows The MPCU comprises five primary functional blocks: a configurable SPI master controller supporting all four SPI modes (CPOL/CPHA combinations), a standard- and fast-mode I2C master controller with 7-bit addressing and ACK/NACK detection, a UART transceiver with 16x oversampling, selectable baud rates up to 115,200 bps, and configurable parity, an eight-entry per-channel FIFO buffering mechanism, and a centralized protocol bridge arbitration and conversion state machine. The entire design is parameterized for flexibility and governed by a lightweight memory-mapped configu…
subject: Articles
  topic: section
subject: Multi-Protocol Conversion,
  topic: keywords
subject: SPI, I2C,
  topic: keywords
subject: UART, FPGA,
  topic: keywords
subject: RTL Verilog
  topic: keywords
subject: , Protocol Bridge, Serial
  topic: keywords
creator: K. G. Venkata krishna
creator: B. Mounika
creator: M. Hima Sindhu
creator: S. Sasi Kiran
creator: D. Ashok
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-29
publication date: 2026-04-29
starting page: 117
ending page: 131
doi: 10.70914/ijarr.2026.v11.i04.pp117-131

Low Power Crypto-chip Design for IoT Applications
type: item
description: Cryptography is fundamental to ensuring data security and integrity in modern digital communications. While numerous algorithms have been developed for data encoding and decoding, the Advanced Encryption Standard (AES) emerged as a robust solution for securing large and confidential datasets where existing algorithms proved inadequate. Initially designed to protect highly sensitive information, AES has become widely adopted in networking applications as the standard for data protection. This paper presents a low-power crypto-chip design for IoT applications implementing the AES algorithm using Verilog HDL. AES operates on 16-byte blocks with variable key sizes ranging from 128 to 256 bits. The implementation leverages Verilog's advantages over standard VHDL, offering significantly reduced operation time and propagation delay for encoding and decoding operations. Unlike its predecessor DES (Data Encryption Standard), which suffered from a fixed 56-bit key size limitation, AES provides flexibility through variable key sizes, enhancing security while maintaining computational efficiency. The proposed design achieves 4635 LUTs with a delay of 6.548 ns, demonstrating the feasibility of hardware-accelerated cryptographic operations for resource-constrained IoT devices.
subject: Articles
  topic: section
subject: Advanced Encryption Standard (AES),
  topic: keywords
subject: Cryptography, Verilog HDL,
  topic: keywords
subject: IoT Security, Low Power Design
  topic: keywords
subject: Hardware Implementation, FPGA
  topic: keywords
creator: K.G. Venkata Krishna
creator: Madasu Rama Tulasi
creator: Yeswanth
creator: Kunaparedy Mounica Sai Durga
creator: Danda Bathina Ajay Babu
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-29
publication date: 2026-04-29
starting page: 108
ending page: 116
doi: 10.70914/ijarr.2026.v11.i04.pp108-116

E-Vote Secure: An AI-Powered Electronic Voting Machine Using Face Recognition and Raspberry Pi
type: item
description: Traditional paper-based voting systems are plagued by issues of booth capturing, impersonation, ballot stuffing, and manual counting errors. This paper presents E-VoteSecure, a novel Electronic Voting Machine (EVM) that integrates Artificial Intelligence-based facial recognition with Raspberry Pi hardware to create a secure, tamper-proof, and transparent democratic process. The proposed system employs a K-Nearest Neighbors (KNN) machine learning algorithm trained using OpenCV and Haar Cascade classifiers to perform real-time biometric voter authentication. The web-based application is built on Python Flask with a SQLite backend featuring SHA-256 password hashing and a one-vote-per-person constraint enforced at the database level. A multi-tier role-based system accommodates voters, candidates, and election administrators with dedicated dashboards, approval workflows, and real-time result visualization. Experimental results demonstrate high face recognition accuracy, effective duplicate vote prevention, and a streamlined end-to-end voting workflow suitable for deployment in local elections, institutional polls, and remote constituencies.
subject: Articles
  topic: section
subject: Electronic Voting Machine,
  topic: keywords
subject: Face Recognition
  topic: keywords
subject: KNN Algorithm
  topic: keywords
subject: Raspberry Pi, Flask,
  topic: keywords
subject: OpenCV, Biometric Authentication,
  topic: keywords
subject: E-Voting Security
  topic: keywords
creator: TARIGOPPALA VENKATA RAMANA
creator: MARTHALA VENUGOPAL
creator: MUDHILI MAHESH
creator: PINNEBOYINA NAGARAJU
creator: T. VENKATA RAMANA
creator: RAGAM VENKATA SIVA KRISHNA
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-21
publication date: 2026-04-21
starting page: 101
ending page: 107
doi: 10.70914/ijarr.2026.v11.i04.pp101-107

LoRa Based Low-Cost Real-Time Air Quality Monitoring System
type: item
description: The use of LoRa technology allows for the implementation of a cost-effective system for monitoring the interior and outdoor air quality in real-time, with factors such as temperature, humidity, PM 2.5, and formaldehyde being measured. A star topology is used in the system's architecture, with sensor nodes linked to a routing node that is linked to a gateway node. A microcontroller unit is coupled with inexpensive, off-the-shelf sensors to form the sensor nodes. Again, the routing node is built using a low-cost microcontroller (like Raspberry Pi) and receives sensor data using a LoRa hat module SX1268, which transmits the data. The gateway device has a server and a time-series database installed for processing, storing, and visualizing data. The transmission range that may be accomplished with LoRa technology is around 3 km with no packet loss and 4 km with 20% packet loss.
subject: Articles
  topic: section
subject: Raspir
  topic: keywords
subject: air quality monitoring,
  topic: keywords
subject: formaldehyde,
  topic: keywords
subject: PM2.5, LoRa
  topic: keywords
creator: P.Bhagya Lakshmi
creator: Poturi Sriya Reddy
creator: Muddangi Sravanthi
creator: Muthyala Shravan Kumar
creator: Pidugu Ishwarya
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-04
publication date: 2026-04-04
starting page: 95
ending page: 100
doi: 10.70914/

Vehicle Accident Alerting and Monitoring with IOT-based Data Analytics
type: item
description: An IoT-based smart accident reporting and environmental monitoring system is being designed and implemented in this project. To identify vehicle accidents, the system uses accelerometer data that is higher than a certain threshold; to identify fires, it uses data from a flame sensor. After an event is detected, the system uses GPS to pinpoint the spot and sends the information to an emergency response team using a GSM module. In addition, the system keeps tabs on variables like humidity, temperature, alcohol, smoke, and carbon monoxide levels using the right sensors. These data points are received by the IoT platform, which may then analyze and display them in real- time. Potentially applicable in smart transportation systems, this integrated approach enhances safety via facilitating rapid accident reaction and environmental monitoring. Topics covered include thingspeak, sensors, IoT, GPS, data monitoring, ESP8266, and hazard warnings.
subject: Articles
  topic: section
subject: Topics covered include thingspeak,
  topic: keywords
creator: Gousiya Begum
creator: Neeraj Kumar Guptha
creator: Pelluri Jai Naga Sai Mahesh
creator: Sigalapalli Mahesh
creator: Savulla Srinija
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-04
publication date: 2026-04-04
starting page: 86
ending page: 94
doi: 10.70914/

Hand Motions Based Virtual AI Mouse
type: item
description: Despite touchscreens' monopoly on portable devices in the modern digital world, they remain prohibitively pricey for PC workstation systems. However, a tacit human-computer junction, most notably a mouse controlled by hand gestures, may bridge this gap.This study proposes a novel smart-mouse program that uses a camera to detect and understand user hand gestures for system control.In order to do actions like as streeling, left- clicking, right-clicking, and cursor helm without requiring a physical device, the system records and processes hand gestures using OpenCV and advanced machine learning simulations. List of In this context, "terms" refer to things like object tracking, OpenCV, Mediapipe, palm detection model, hand gesture recognition, and human-computer interface.
subject: Articles
  topic: section
subject: OpenCV,
  topic: keywords
subject: Mediapipe,
  topic: keywords
subject: palm detection model,
  topic: keywords
creator: A. Dileep
creator: Gayathri Vaidya
creator: Sambari Eshwari Vani
creator: Mangalagiri Uday Kiran
creator: Temburu Himagiri
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-04
publication date: 2026-04-04
starting page: 77
ending page: 85
doi: 10.70914/

IOT-based Design and Simulation of Smart Greenhouse Monitoring and Control System
type: item
description: In recent years, "smart agriculture" has emerged as a promising strategy for enhancing the efficiency and longevity of contemporary farming. This article details the planning and modeling of an Internet of Things (IoT) smart greenhouse management and monitoring system using MATLAB. In real time, the system tracks five important environmental variables using modelled sensor readings: soil moisture, humidity, light intensity, CO₂ concentration, and temperature. For the purpose of environmental monitoring and management, we have established precise cutoff values for each metric. When a value above its threshold, an alarm is sent out and appropriate procedures, such as the activation of fans, water pumps, and artificial lighting, are immediately initiated. The system ensured the correctness of the projected findings under various environmental circumstances by testing this configuration using a dataset of 100 time-series samples. The simulation found that temperature was the most unpredictable factor, leading to 58 warnings. Then came 52 warnings about soil moisture and 46 about humidity. Only 29 and 17 alarms, respectively, were generated by CO₂ levels and light intensity, which were closer to their ideal limits. In response to any alarm, the system automatically handles the inappropriate circumstances based on sensor input. The model made use of graphs and pie charts to examine the system. This study lays the groundwork for an Internet of Things (IoT) smart greenhouse system that may boost efficiency and longevity in real time. Assisting small farmers and promoting sustainable agriculture is the primary goal of this project. Smart farming, automation, environmental monitoring, control systems, sensor data, the internet of things, and MATLAB simulation are all related terms.
subject: Articles
  topic: section
subject: environmental monitoring,
  topic: keywords
creator: Dr. K. Purushotham Prasad
creator: Reddi Sai Prasanna
creator: Uppari Jyothika
creator: Mengani Sai Kiran
creator: Thirupathi Rakesh
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-04
publication date: 2026-04-04
starting page: 68
ending page: 76
doi: 10.70914/

VLSI Implementation of Image Encryption and Decryption Using Reversible Logic Gates
type: item
description: As a crucial strategy for low power design and quantum computing, reversible logic synthesis and testing is an intriguing field of study. A wide variety of fields may benefit from reversible calculations, including quantum computing, nanotechnology, bio-information, digital signal processing, and many more. To protect sensitive information from prying eyes, a cryptography system is essential for all of these uses. One of the main issues with well-cured cryptography algorithms is their high power and area requirements. To get around these issues, this paper suggests a Reversible Logic Gates Cryptography Design (RLGCD). Architectures for encryption and decryption are both designed using RLGCD. To encrypt and decrypt data, the key is generated using a Linear Feedback Shift Register. The Least Significant Bit (LSB) technique is used for data watermarking in order to further enhance data security. It assesses the RLGCD architecture's FPGA performance. The performance of RLGCD architecture is much better than that of other traditional systems.
subject: Articles
  topic: section
subject: Reversible Logic Gate Cryptography Design (RLGCD),
  topic: keywords
subject: Linear feedback shift register (LFSR),
  topic: keywords
subject: Field Pro grammable Gate Array (FPGA),
  topic: keywords
subject: Watermarking
  topic: keywords
creator: Ganganamudi Tejaswini
creator: Gobburusrishanth
creator: Gundu Nikhila
creator: Korra Arun Kumar
creator: N.Pavithra
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 58
ending page: 67
doi: 10.70914/

AI-Powered Edge Vision Traffic Management Platform for Real Time Monitoring and Congestion Reduction
type: item
description: Drowsiness and fatigue are among the top factors that are considered to contribute to car accidents, causing 1.3 million deaths per year. By using facial landmark identification, the Advanced Drowsiness identification System is able to accomplish its goal of lowering the total number of road accidents caused by various forms of driver weariness and falling asleep behind the wheel. Using a facial recognition algorithm, this system is able to identify signs of sleepiness in a picture. It detects and tracks the driver’s face and eyes to compute the Eye Aspect Ratio (EAR), a validated measure for drowsiness detection. This system reduces fatalities and improves road safety by detecting driver drowsiness using Driving Behaviour Analysis (DBA). The goal of this technology is to make transportation safer by reducing the likelihood of driving errors caused by driver sleepiness.
subject: Articles
  topic: section
subject: EAR,
  topic: keywords
subject: Raspberry Pi,
  topic: keywords
subject: Eye Detection, and Driving Behavior Analysis.
  topic: keywords
creator: Dhaneja Riya Patel
creator: Dudam Venu
creator: Bonkuri Sai Krishna
creator: Batti Nithin Goud
creator: Sakinala Sai Sohan
creator: N. Ramesh Kumar
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 50
ending page: 57
doi: 10.70914/

Spoonie: Self-Stabilizing Feeding Spoon for Tremored Hands
type: item
description: People with Parkinson's disease, the elderly, and infants who have trouble holding their hands steady while eating might benefit from the Spoonie, a self-stabilizing feeding spoon. The spoon's one-of-a-kind design ensures that the head stays put, eliminating the need to worry about shakiness or other undesirable motions that might ruin an otherwise elegant feeding experience. An accelerometer sends real-time data to a microprocessor, which in turn regulates servo motors to keep the spoon head from moving around unexpectedly or shaking the user's hand. Users' quality of life is enhanced since they can self-feed with this spoon. A game-changer in assistive technology, the self- stabilizing spoon allows persons with motor control impairments to tackle real-life problems with ease. In order to make the gadget more tailored to each user's requirements, future improvements might include adjusting the settings for various levels of stability.
subject: Articles
  topic: section
subject: Independent Eating,
  topic: keywords
subject: Motor Disabilities
  topic: keywords
subject: Tremor Control,
  topic: keywords
subject: Self-Stabilizing,
  topic: keywords
subject: Assistive Technology.
  topic: keywords
creator: Kaithoju Ganesh
creator: Gopidi Sukitha
creator: Chaganti Chitra
creator: K. Anil
creator: Dr. N. Adithyavalli
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 43
ending page: 49
doi: 10.70914/

Comprehensive Integration and Implementation of Air Quality Monitoring Technology for Respiratory Health in Cardiovascular and Asthmatic Individuals
type: item
description: Air pollution, which harms people's lungs and overall health, is a major problem in the modern world. Charcoal, methane, carbon dioxide, ammonia, and sulfur and nitrogen oxides are some of the dangerous gases emitted by inefficient combustion of agricultural waste and overuse of unconditioned cars. Humans are susceptible to respiratory and cardiovascular illnesses brought on by these contaminants. An IoT-based smart air pollution monitoring system was created to detect air quality and alert people when concentrations surpass safe limits, in accordance with the recommendations of credible sources, in order to tackle this problem. Microcontroller boards like Arduino Uno and ESP32 are used in this system, together with portable gas sensors (MQ2 for smoke and flammable gases like butane and methane, and MQ135 for ammonia, benzene, carbon dioxide, and other dangerous gases). An LCD shows the gas concentration, and data from the sensors is sent to a website using the ESP32 Wi-Fi module. When levels are too high, a bell goes out to let others know. Results from testing the proposed technology to determine gas concentrations in an indoor setting and the associated concentration values are detailed here. It is also possible to expand the system for use in mining and industrial regions with high levels of air pollution. The risk of hospitalization from cardiovascular disease increases by 0.96 percent for individuals over the age of 65 for every hour of exposure to carbon monoxide, according to A.L.N. Sri Datta of the Electronics and Communication Engineering department at Chaitanya Bharthi Institute of Technology in Hyderabad, India (dattaannavarapu9@gmail.com). There was a 6% spike in the hospitalization of non-elderly asthmatic persons when there was 3-7 ppm of carbon monoxide in the air. Individuals with cardiovascular disease or asthma greatly benefit from accurate gas level monitoring systems. Occupational Safety and Health Administration (OSHA) research indicates that a…
subject: Articles
  topic: section
subject: Air quality monitoring,
  topic: keywords
subject: Gas detectors,
  topic: keywords
subject: parts per million(ppm),
  topic: keywords
subject: Respiratory Health,
  topic: keywords
subject: IoT (Internet of Things)
  topic: keywords
creator: Jillella Sowmya
creator: Gajjala Venugopal Reddy
creator: Chavan Tharun
creator: heena Begum
creator: G.JoySangeethRaj
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 35
ending page: 42
doi: 10.70914/

Enhancing Road Safety with an AI-Powered System to Detect Driver Drowsiness
type: item
description: Drowsiness and fatigue are among the top factors that are considered to contribute to car accidents, causing 1.3 million deaths per year. By using facial landmark identification, the Advanced Drowsiness identification System is able to accomplish its goal of lowering the total number of road accidents caused by various forms of driver weariness and falling asleep behind the wheel. Using a facial recognition algorithm, this system is able to identify signs of sleepiness in a picture. It detects and tracks the driver’s face and eyes to compute the Eye Aspect Ratio (EAR), a validated measure for drowsiness detection. This system reduces fatalities and improves road safety by detecting driver drowsiness using Driving Behaviour Analysis (DBA). The goal of this technology is to make transportation safer by reducing the likelihood of driving errors caused by driver sleepiness. The following terms are associated with this article: EAR, Raspberry Pi, Eye Detection, and Driving Behavior Analysis.
subject: Articles
  topic: section
subject: Raspberry Pi,
  topic: keywords
creator: Mrs.Lalitha Madhuri
creator: Abbu Balaji
creator: Pinnaboina Naveen Kumar
creator: Gunnam Rama
creator: Betanapally Manikanta
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 27
ending page: 34
doi: 10.70914/

An Investigation of Solar-Powered Grid-Integrated Electric Vehicle Charging Modules for Smart Cities
type: item
description: In response to unpredictable power demands and heightened environmental consciousness about the need to combat climate change and the exhaustion of nonrenewable natural resources, EVs—electric vehicles powered by batteries—are replacing ICE vehicles in the transportation industry. Traditional fossil fuels are neither physically or economically feasible for charging these electric vehicles. A solar-powered electric vehicle (EV) charging module is planned for the future of smart cities in this project. Building a solar-powered electric vehicle charging system that is both efficient and scalable is the major focus of this piece. In order to encourage the use of electric cars and lessen India's reliance on fossil fuels, we want to build a long-term charging infrastructure that makes use of the plentiful sunshine found in metropolitan areas. The model is being implemented in this case using MATLAB/SIMULINK, and the results of the many parameters used, such as the battery voltage, grid voltage, PV array current, and voltage characteristics, are being obtained. Additionally, this project's completion would provide the groundwork for improved, safer, and more user-friendly electric vehicle charging systems in the future. Lastly, many parties involved in smart city infrastructure, including policymakers, EV users, and other organizations, stand to gain from this suggested approach, which aims to provide a sustainable transportation option.
subject: Articles
  topic: section
subject: Photovoltaic Array,
  topic: keywords
subject: Boost Converter,
  topic: keywords
subject: Battery, and Dual Converter
  topic: keywords
creator: Mr.V.Ramudu
creator: Konda Manikanta
creator: Kalidindi Sai Venkata Laxmi
creator: Vivaramneni Harish Rao
creator: Devaraneni Adharsh
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 18
ending page: 26
doi: 10.70914/

Electric Vehicle Wireless Charging on the Go
type: item
description: The need of efficient, continuous charging solutions is rising in relation to the rising use of electric vehicles (EVs). Traditional plug-in charging facilities sometimes need extended vehicle stops, exacerbating range anxiety among electric vehicle users and leading to unnecessary delays. Wireless road charging, also known as Wireless Power Transfer (WPT), circumvents these limitations by enabling automobiles to charge on the go over wireless equipment already established in the road.By combining Bluetooth-operated robotic cars with wireless charging technology, the proposed technique provides an innovative and creative way to simulate real-life electric vehicle charging scenarios. The system's two primary components are the Vehicle Charging Unit (VCU) and the Vehicle Controlling Unit (VCU). Through the use of inductive coupling, the charging unit converts the electromagnetic field into useable electric power for storage. This energy is transferred from coils buried under the road surface to the receiving coil in the car. Electric vehicle (EV) charging, inductive coupling, wireless power transfer, dynamic charging, and related terms
subject: Articles
  topic: section
subject: Electric vehicle (EV) charging,
  topic: keywords
creator: Mr.K.Chaitanya
creator: Myakala Vinay
creator: Kandacharam Anwar Basha
creator: Naralashetti Mahesh
creator: Embadi Shakteshwar
creator: Abhivardhan Gandrath
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 10
ending page: 17
doi: 10.70914/

Transformer Parameters Tracked in Real Time Internet of Things (IoT)
type: item
description: In electrical power systems, a transformer plays a crucial role. Consistent power transmission to consumers is ensured by its dependable functioning. The transformer's real-time health monitoring system extends its life and avoids problems. Using sensors and the Internet of Things (IoT), this article demonstrates how to monitor temperature, load voltage, current, and oil level in real time. Using Arduino UNO, the gathered data were processed. The data is sent to the thingSpeak platform so it may be analyzed. The GSM module notifies a designated individual and sounds an alarm via buzzer when the detected data over the reference limit. The prototype model has confirmed the system's performance. An early warning of the transformer's unusual behavior is provided by the suggested system. This may be useful for reducing unscheduled outages and scheduling preventative maintenance. Transformer real-time monitoring, Arduino, and the Internet of Things (IoT) are all relevant terms.
subject: Articles
  topic: section
subject: Transformer real-time monitoring,
  topic: keywords
creator: Mr.E.Sateesh
creator: Beenaveni Rajamallaiah
creator: Korandha Saketh Reddy
creator: Kusam Aravind
creator: Gunda Abhilash
creator: Nalam Krishna Sai
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-04-03
publication date: 2026-04-03
starting page: 1
ending page: 9
doi: 10.70914/

Enhancing Insider Threat Detection with Machine Learning Techniques
type: item
description: The compromise of confidential information and company assets by insiders is a major concern for every business. For these dangers to be detected, strong ML methods are required, ones that can handle skewed and complicated datasets. This research examines the efficacy of several machine learning models on the renowned CERT dataset. These models include Logistic Regression, Decision Trees, Random Forest, SVM, KNN, Naïve Bayes, Adaboost, and XGBoost. Methods like SMOTE bring attention to the significance of a balanced dataset by fixing problems caused by data imbalance. With an accuracy of 97.5%, Random Forest and Adaboost proved to be the most successful in detecting insider threats, according to the data. Improved organizational security strategies are possible because to this research's contributions to insider threat detection approaches and structured examination of model performance.
subject: Articles
  topic: section
subject: insider threat detection,
  topic: keywords
creator: BASINA HEMA VARSHINI
creator: MANDLA RAJU
creator: JATROTH THIRUPATHI
creator: KOPPULA KARTHIK
creator: DACHARAJU MANISH
creator: Mrs.M. Rajeswari
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-15
publication date: 2026-03-15
starting page: 68
ending page: 75
doi: 10.70914/ijarr.2026.v11.i03.pp68-75

Design and Implementation of Hand Gesture Based Virtual Mouse
type: item
description: Since the invention of computers, there has been a dramatic shift in the method of creating contact between computers and people. The mouse is one example of a groundbreaking invention in HCI. The wireless or Bluetooth mouse is only one example of how these technologies continue to rely on supplementary hardware. For instance, a Bluetooth mouse may need a connecting dongle in addition to batteries. Such gadgets may be less user-friendly due to the need of these additional components. In this study, we provide a virtual mouse technology that solves these problems. Computer vision and hand gestures are the backbone of the proposed system, which is based on HCI concepts.
subject: Articles
  topic: section
subject: HCI (Human-Computer Interaction)
  topic: keywords
creator: K RAHUL
creator: SWAPNA DAS
creator: SAIKIRAN N
creator: JOGU HARI KUMAR
creator: CHINTHA NIKHIL VARDHAN
creator: Mr.Praveen
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-14
publication date: 2026-03-14
starting page: 60
ending page: 67
doi: 10.70914/ijarr.2026.v11.i03.pp60-67

A Study on Comparative Analysis of Machine Learning Models For Melon Growth Prediction
type: item
description: Problems with sustainable farming have been intensified in recent years due to the substantial influence of climate change and environmental degradation on agricultural production. Precise growth prediction models are essential for ensuring appropriate production methods of melons (Cucumis melo L.), a highly valuable crop that is especially susceptible to environmental influences
subject: Articles
  topic: section
subject: Melon growth prediction
  topic: keywords
creator: ALWALA VAISHNAVI
creator: PUSKURI UDAY
creator: MALEWAR SAI NILESH
creator: MUSHAM SAI TEJA
creator: BEERAM VISHNU
creator: Mr.R. Ashok
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-14
publication date: 2026-03-14
starting page: 51
ending page: 59
doi: 10.70914/ijarr.2026.v11.i03.pp51-59

A Review of Generative AI in Recommendation Systems
type: item
description: The development of Gen AI has been largely enabled by traditional machine learning methods, which have allowed for the creation of increasingly complex models. Gen AI's use in recommendation systems is contrasted with that of more conventional AI techniques, as well as the applications of both types of AI in other domains, in this review. By fixing the problems with traditional machine learning methods, generative AI has revolutionized recommendation systems. Focusing on GANs and VAEs, this paper analyzes the use of Gen AI and traditional AI in RS across different domains. Low data, cold start, and suggestion variety are some of the issues that these generative models highlight as strengths and weaknesses. Further study might be hindered by them as well. This research summarizes current efforts to illustrate how Gen AI improves RS performance, follows important trends, and answers pertinent new questions about ethics and dependability. Hybrid techniques are highlighted by the findings, which bode well for future advancements of the effective and versatile RSs. The report ends by stating that further research should be conducted.
subject: Articles
  topic: section
subject: Recommendation Systems,
  topic: keywords
creator: DODLA AKHILA
creator: LAVUDYA UMESH
creator: BALNE SRIRAM
creator: ANNAMGARI ABHISHEK
creator: Dr.V. Sri Lakshmi
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-14
publication date: 2026-03-14
starting page: 44
ending page: 50
doi: 10.70914/ijarr.2026.v11.i03.pp44-50

Partnerships for Real-Time Threat Intelligence to Strengthen Cyber Defenses
type: item
description: Cyber Threat Intelligence (CTI) is becoming more important in the ever-changing world of cyber security and cyber warfare as a means of collecting and disseminating up-to-date information on threats and their patterns. Problems with scalability, trust, and data quality plague existing CTI sharing solutions (such as ISACs and automated STIX/TAXII platforms)
subject: Articles
  topic: section
subject: Threat Intelligence,
  topic: keywords
creator: Mrs.M. Sowmya
creator: Desham Samyuktha
creator: Gaurav Abhay Garudkar
creator: Ponnabonaiah Sai Kaushik
creator: Kallem Shekar
creator: Srikakulam Harathi
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 38
ending page: 43
doi: 10.70914/ijarr.2026.v11.i03.pp38-43

Digital Forensics and Artificial Intelligence: Revolutionizing Crime Scene Investigations
type: item
description: Enhancing CSI, digital forensics with AI increases efficiency, accuracy, execution throughput, and physical evidence inclusion in trials
subject: Articles
  topic: section
subject: Machine Learning
  topic: keywords
creator: Mrs.M.Rajitha
creator: Gujjeti Shruthi
creator: Marampally Akanksha
creator: Padam Venkatesh
creator: Kotha Satwik Reddy
creator: Vakiti Sridhar Reddy
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 30
ending page: 37
doi: 10.70914/ijarr.2026.v11.i03.pp30-37

Using Convolutional Neural Networks for Classification of Satellite Images
type: item
description: The project uses convolutional neural network (CNN) satellite picture categorization to search the internet for photos of clouds, deserts, greenery, and water. Kaggle used data augmentation methods including rescaling, zooming, and flipping to preprocess the many satellite photos, making the model stronger.
subject: Articles
  topic: section
subject: convolutional neural networks (CNNs)
  topic: keywords
creator: Mr.P.Naresh
creator: S.Prudhvi Rahul Sharma
creator: Kontham Srija
creator: Revanth Yegireddi
creator: Loka Goutham
creator: Sadamani Uday Teja
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 21
ending page: 29
doi: 10.70914/ijarr.2026.v11.i03.pp21-29

Consumption of technical threat intel indicators
type: item
description: More and more, our daily lives rely on the enabling function of IT systems. Consistent with this, the increasing frequency and severity of cyberattacks is a major concern. Both businesses and governments must now take measures to protect themselves against cybercriminals. It is becoming more and more difficult to determine the right reaction to cyber-attacks, despite the fact that proactive defense and quick response are vital for IT security experts.
subject: Articles
  topic: section
subject: ndustrial Internet of Things (IoT),
  topic: keywords
creator: Mr.V.Anil Kumar
creator: Bathali Bhoomika
creator: M.Srija
creator: Pesari Akshara
creator: Guniti Anil
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 11
ending page: 20
doi: 10.70914/ijarr.2026.v11.i03.pp11-20

Using Deep Convolutional Neural Networks with Transfer Learning for Reptile and Amphibian Classification
type: item
description: This paper presents a new approach to amphibian and reptile automated classification utilizing deep convolutional neural networks (CNNs) and supervised learning. Drawing on our knowledge of the ecological importance of these two vertebrate groups and the limitations of traditional classification methods, we use deep learning to train a MobileNetV2 model that can accurately identify species. We use transfer learning to optimize a pre-trained CNN on a massive collection of reptile and amphibian pictures, allowing us to overcome the limitations of small-scale datasets. Because of its excellent extraction efficiency, the model is able to generalize well to many other species. In addition, the study delves into the significance of image augmentation techniques for enhancing model performance, particularly in cases when labeled data is few.
subject: Articles
  topic: section
subject: Artificial intelligence,
  topic: keywords
creator: Mr.G.Gangaram
creator: Ch.Madhan Kumar
creator: Boga Navyasri
creator: Kessipeddi Arya Yagnik
creator: M.Madhan Mohan
creator: Puli Pradeep
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-03-11
publication date: 2026-03-11
starting page: 1
ending page: 10
doi: 10.70914/ijarr.2026.v11.i03.pp01-10

Optimized Structural Analysis and Design of a Long-Span Pre-Engineered Steel Warehouse Using STAAD.Pro
type: item
description: tructural design is aimed to design a structure that full fills its intended purpose during its intended life span and be adequately safe in terms of strength, stability, and structural integrity, serviceability in terms of stiffness, durability, etc., and be economically viable, aesthetically pleasing, and environment friendly. This paper presents the studies on the analysis and design of the steel warehouse structure. The optimum design of the structure is carried out using finite element software STAAD Pro. The analysis of the structure is carried out for suitable steel sections with different load carrying capacity. The steel quantity required for the structure is calculated. Finally, along with material optimization, techno-economical design to achieve the reliable performance of the warehouse structure is carried out.
subject: Articles
  topic: section
subject: Pre – Engineered Buildings (Ware House),
  topic: keywords
creator: Ms.K Veda Samhitha
creator: A Siddartha
creator: D Dhruv
creator: B Rakesh
creator: R Ramababu
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 69
ending page: 74
doi: 10.70914/

INTEGRATED STABILITY AND STRUCTURAL PERFORMANCE EVALUATION OF AN RCC GRAVITY DAM UNDER MULTI-LOAD CONDITIONS
type: item
description: Gravity dams are among the most reliable hydraulic structures due to their ability to resist external forces primarily through self-weight. This project presents a comprehensive structural and stability analysis of a Reinforced Cement Concrete (RCC) gravity dam considering critical loading conditions such as water pressure, uplift pressure, silt pressure, and seismic forces. Detailed site investigation data, hydrological parameters, and foundation characteristics were incorporated to ensure realistic design assumptions. Stability checks against sliding, overturning, and foundation overstress were performed using analytical methods in accordance with standard dam design guidelines. Additionally, structural modeling and verification were carried out using STAAD
subject: Articles
  topic: section
subject: Gravity Dam
  topic: keywords
creator: Dr.P.Rohit
creator: M Shiva Shankar
creator: M Chaitanya
creator: T Sampath Reddy
creator: B Bannu
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 63
ending page: 68
doi: 10.70914/

HYDROSTATIC LOAD RESPONSE ANALYSIS OF A RECTANGULAR REINFORCED CONCRETE WATER TANK
type: item
description: Water storage structures play a vital role in municipal, industrial, and domestic water supply systems. The present project focuses on the analysis and design of a rectangular reinforced cement concrete (RCC) water tank using STAAD Pro software, in accordance with relevant Indian Standard codes such as IS 3370 and IS 456:2000.
subject: Articles
  topic: section
subject: Rectangular Water Tank
  topic: keywords
creator: Mrs.G.Sai Shruthi
creator: R Sannidhi
creator: N Sai Vinayak
creator: B Lokesh Babu
creator: M Manikanta
creator: P Lingam
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 56
ending page: 62
doi: 10.70914/

FINITE ELEMENT–BASED STRUCTURAL ANALYSIS OF AN RCC BOX CULVERT UNDER COMPLEX LOADING CONDITIONS USING STAAD.PRO
type: item
description: Box culverts are widely used in highway and railway embankments to facilitate safe cross drainage of streams, canals, and storm water without obstructing natural flow. Due to their rigid frame action, monolithic behavior, and economic advantages, reinforced cement concrete (RCC) box culverts are commonly adopted for small to medium span crossings. This project focuses on the structural analysis and design of a single-cell RCC box culvert using STAAD.Pro software
subject: Articles
  topic: section
subject: Box Culvert
  topic: keywords
creator: Mr.G.Sudhakar
creator: P Uday kumar
creator: A Manikanta
creator: K Karthik
creator: V Srilatha
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 50
ending page: 55
doi: 10.70914/

STUDENT ATTENDANCE MANAGEMENT SYSTEM USING RFID TECHNOLOGY
type: item
description: The Student Attendance Management System using RFID Technology is an automated and contactless solution designed to replace traditional manual roll-calling methods. Conventional attendance systems are time-consuming, error-prone, and susceptible to proxy attendance. To overcome these limitations, the proposed system integrates an RFID-based identification mechanism with an Arduino Uno microcontroller to ensure fast, accurate, and reliable attendance tracking
subject: Articles
  topic: section
subject: RFID,
  topic: keywords
creator: T. Soumya
creator: G. Sai Ram
creator: G. Srikanth
creator: R. Sai Teja
creator: B. Vardhan
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 44
ending page: 49
doi: 10.70914/ijarr.2026.v11.i02.pp44-49

DESIGN AND IMPLEMENTATION OF AN AUTOMATED IOT BASED FISH FEEDING SYSTEM
type: item
description: This paper presents a smart and efficient solution for automating aquarium maintenance using Internet of Things (IoT) technology. Traditional fish care requires regular feeding and periodic water management, which are often inconsistent due to human negligence or busy schedules
subject: Articles
  topic: section
subject: IoT, NodeMCU
  topic: keywords
creator: N. Ganesh
creator: M. Shrin Meher
creator: Vaishnavi Tiwari
creator: K. Jeshwanth
creator: G. Arun Kumar
rights: Copyright (c) 2026 https://creativecommons.org/licenses/by-nc-nd/4.0
date: 2026-02-24
publication date: 2026-02-24
starting page: 37
ending page: 43
doi: 10.70914/ijarr.2026.v11.i02.pp37-43