| S.No | Volume-1 Issue-3, March 2026 Published By: JCES |
Page No: | Details | |
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| 1 | Authors: | R. Chandu, T. Lakshmi Ayyappao, R. Sai Prasanna, Sk.shahina, Dr.P.Venkata Mahesh | 80-84 | Click here |
| Paper Title: | BATTERY MANAGEMENT SYSTEM WITH ACTIVE CELL BALANCING | |||
| Abstract | This work presents the design and implementation of a 3-cell Lithium-ion Battery Management System (BMS) with active cell balancing, real-time monitoring, and on-device visualization. The system utilizes DC voltage sensor modules to accurately measure individual cell voltages, eliminating the need for complex voltage divider calculations while ensuring safe electrical isolation from the battery pack. An Arduino Uno serves as the main controller, using its built-in ADC channels to acquire precise voltage data from each cell. The system continuously monitors critical parameters such as individual cell voltages, total pack voltage, and temperature to maintain safe operating conditions and prevent issues like over-voltage, under-voltage, and thermal risks. To enhance battery performance and lifespan, the proposed system incorporates an active cell balancing technique using a switched-capacitor method controlled by an ESP32. This method efficiently transfers charge from higher-voltage cells to lower-voltage ones, minimizing energy loss compared to traditional passive balancing methods. A LCD display is integrated to provide real-time visualization of system parameters, including cell voltages, overall battery status, and balancing activity. The developed BMS offers a cost-effective, efficient, and intelligent solution for improving battery safety, performance, and longevity, making it suitable for applications such as electric vehicles, renewable energy storage systems, and portable electronic devices.
Keywords: State of Health, State of Charge, BMS, Arduino |
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| 2 | Authors: | P. Rakesh, V. Raghava, N. Pujitha, T. Jeevan Kumar, Dr. N.C Kotaiah | 85-91 | Click here |
| Paper Title: | SMART ENERGY METER WITH LOAD CONTROL USING IOT | |||
| Abstract |
The Smart Energy Meter with Load Control Using IoT is an intelligent energy
monitoring and management system designed to measure, analyze, and control electrical
power consumption in real time. The system integrates an embedded controller with IoT
connectivity to provide accurate energy tracking and automated load regulation. An
energy meter with an LDR-based pulse detection mechanism measures energy
consumption without altering the internal meter circuitry. Voltage and current sensors
continuously monitor electrical parameters, while an Arduino processes the data and
displays real-time values such as voltage, current, energy usage, and load status on an
LCD. An ESP32 module uploads the collected data to an IoT platform, enabling remote
monitoring and analysis. When consumption exceeds a predefined threshold, the system
automatically disconnects high-power loads through a relay, ensuring safe and efficient
energy utilization. In abnormal conditions such as overload, a buzzer provides local
alerts and a GSM module sends SMS notifications to the user. Powered by a regulated
12V supply, the prototype offers a cost-effective, reliable, and scalable solution for smart
homes and industries, promoting energy conservation, remote accessibility, and electrical
safety.
Keywords: IoT, Arduino, GSM, LDR |
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| 3 | Authors: | M.Neeraja, J Venkata Yamini Durga, E Kiran Kumar, P Banny Prakash, Mallika | 92-95 | Click here |
| Paper Title: | HOSTELBRIDGE : A SMART HOSTEL MANAGEMENT AND COMMUNICATION SYSTEM | Abstract |
Hostel Bridge is a modern hostel management and communication system designed to
improve the efficiency of hostel operations and enhance interaction between students and
administrators. Traditional hostel systems rely heavily on manual processes, which often lead to
delays, errors, and communication gaps. This project is developed as an Android-based application
using XML, Kotlin, and Java technologies. XML is used for designing structured and user-friendly
interfaces, while Kotlin and Java are used to implement the application logic and backend
functionalities. The system allows administrators to efficiently manage student records, room
allocation, attendance, fee details, and maintenance activities. The application also includes a
communication module that enables real-time notifications, announcements, and complaint
management. Students can easily submit requests or issues, and administrators can track and
resolve them efficiently. Hostel Bridge ensures secure data handling and provides a simple and
user-friendly experience. It reduces paperwork, minimizes administrative workload, and improves
transparency. Overall, the system enhances the effectiveness and responsiveness of hostel
management.
Keywords: Android, XML, Kotlin |
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| 4 | Authors: | N. Jahnavi, T. Santhi Vardhan, M. Sai teja, T. Sasankar reddy, P. Ram Kumar | 96-101 | Click here |
| Paper Title: | AI-BASED APK Malware Detection Engine | Abstract |
The rapid expansion of the Android ecosystem has significantly increased malware
distribution through APK files, exploiting the platform's open-source nature. Traditional signature
based detection methods fail to identify obfuscated or newly generated malware variants. This paper
proposes an AI-based APK Malware Detection Engine that applies machine learning algorithms to
detect malicious Android applications. The system performs static analysis by extracting application
permission features and transforming them into a structured dataset. To enhance detection
performance and reduce irrelevant data, a Genetic Algorithm (GA) is utilized for efficient feature
selection, identifying the most significant permission attributes related to malware behavior. The
selected features train two classification models: an Artificial Neural Network (ANN) and a Support
Vector Classifier (SVC). Experimental evaluation demonstrates that the proposed system achieves
high detection accuracy, with ANN reaching 94.8% and SVC achieving 93.2%, significantly
outperforming existing baselines. The system provides an intelligent, scalable approach for Android
malware detection, strengthening mobile security.
Keywords: Arduino, ANN, Malware, Classifier |
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| 5 | Authors: | N. Snehalatha, V.Divya Sri, Ch.Deepika, G.Sai Krishna | 103-109 | Click here |
| Paper Title: | VIRALITY-X: AI-Based System to Predict the Social Media Virality Before Posting | Abstract |
Social media platforms have become essential tools for communication, marketing, and
content creation. However, predicting whether a social media post will gain high engagement or
become viral remains a major challenge for users. Most content creators publish posts without any
prior insight into their potential reach, resulting in uncertainty and trial-and-error approaches.
VIRALIT-X is an AI-powered system developed to predict the virality of social
media posts
before they are published. The system takes user inputs such as caption text, hashtags, post type,
and posting time for analysis. Natural Language Processing (NLP) techniques are used to analyze
the sentiment and emotional tone of the caption, while machine learning models learn engagement
patterns from historical social media data. Based on this analysis, the system generates a virality
score and classifies the post as having low, medium, or high viral potential. In addition to
prediction, VIRALITY-X provides actionable recommendations such as improving captions,
selecting effective hashtags, and choosing optimal posting times. The system is implemented as a
web-based application using Python and open-source technologies, making it cost-effective and
easy to use. This project helps content creators and digital marketers make informed decisions and
improve engagement on social media platforms.
Keywords: NLP, AI, VIRALITY |
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| 6 | Authors: | P. Rahim Khan, S. Nagaraju, V. Subhash | 110-1117 | Click here |
| Paper Title: | IOT BASED ENERGY MONITORING SYSTEM WITH AUTOMATIC BILLING USING RASPBERRY PI | Abstract |
This project presents the design and implementation of an IoT-based Smart Energy
Meter system utilizing the Raspberry Pi Pico and Node MCU ESP8266 to automate utility
monitoring and load management. Traditional manual meter reading is a labor-intensive, time
consuming process prone to human error. By leveraging the Internet of Things (IoT), this system
provides a seamless solution for remote data collection, real-time monitoring, and enhanced
consumer control. The system architecture interfaces a digital energy meter with a microcontroller
to capture consumption pulses. The Node MCU ESP8266 facilitates wireless connectivity,
enabling users to monitor live consumption data through the Blynk IoT application. Beyond
monitoring, the system integrates a GSM module to provide a dual-layered communication
approach: the electricity department and the user receive periodic billing updates via SMS alerts,
and the user can execute remote load shedding or appliance control through either the Blynk
interface or SMS commands. A dedicated LCD module provides local visualization of real-time
readings. By automating the billing cycle and offering instantaneous load control, this project
minimizes operational costs for utility providers while empowering consumers to manage their
electricity usage and costs efficiently.
Keywords: Residential energy monitoring, Smart billing systems, SMS alert systems, Load management, Smart Energy Meter, Raspberry Pi Pico, Node MCU ESP8266, GSM |
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| S.No | Volume-1 Issue-2, March 2025 Published By: JCES |
Page No: | Details | |
|---|---|---|---|---|
| 1 | Authors: | Rongali Chaitanya Kumar, Kothapalli Sai Santhosh, Cherukula Sai Vijay Kumar, Gumpula Tejaswini | 1-5 | Click here |
| Paper Title: | Fuzzy Logic Controller & Filters For Leakage Current Reduction in Solar PV | |||
| 2 | Authors: | Dr.G.Nageswara Rao, Seelam Gnana Venkata Bhargavi , Guntha Chandra Kowshik ,Nallamothu Vinosh ,Neelagiri Deepthi | 6-11 | Click here |
| Paper Title: | Designing A Solar Powered Off-grid Charging Station For Electric Vehicles | |||
| 3 | Authors: | Rowthu.Padma,Anitha.Vennapoosa,V.PothuRaju,A.VeeraNagaBasavaPurna,M.Suryasatyanarayana Reddy | 12-20 | Click here |
| Paper Title: | RFID ATTENDANCE SYSTEM AND MESSAGE CONVEY THROUGH VOICE CONTROL USING FOOTSTEP POWER GENERATION | |||
| 4 | Authors: | T. Sri Poojitha , A . Thanuj , D.Hari Sai Manikanta, Dr. K.R.L Prasad | 21-29 | Click here |
| Paper Title: | MODELLING AND SIMULATION OF EFFECTIVE BATTERY CHARGING SYSTEM USING STEP VOLTAGE AND STEP DUTY SIZE BASED MPPT CONTROLLER FOR SOLAR PV SYSTEM | |||
| 5 | Authors: | Dr.M.S Giridhar,Addagarla Vanela,N.Laya Vardhan,T.Geethanjali,P.Babu | 30-38 | Click here |
| Paper Title: | IOT-ENHANCED SMART ENERGY METER WITH DUAL NODE MONITORING, CLOUD DATA INTEGRATION, BILLING AND ALERT SYSTEM FOR THEFT ATTEMPS | |||
| 6 | Authors: | Kampasati Jhansi, Konidela Tejasri ,Joseph Prabhas Teja,Martha ganesh, Dr.K.R.L.Prasad | 39-48 | Click here |
| Paper Title: | Modelling and Simulation Analysis and Control of Dual Active Bridge (DAB) Power Converter | |||
| 7 | Authors: | Mr. R. Anjaneyulu Naik , S.V.V.S Harsha , I. Ramya Sri , M. Ramkey | 49-60 | Click here |
| Paper Title: | Smart Transformer Cooling System with Arduino Integration | |||
| 8 | Authors: | A. Puja, K. Mounika Sravanthi, A.VMSSRSKLR Bharadwaj Sarma, K.Anvesh,Dr. P.Venkata Mahesh | 61-68 | Click here |
| Paper Title: | Performance Comparison of Various Maximum Power Point Tracking Techniques for Solar PV Systems | |||
| 9 | Authors: | Dr. G. Nageswara Rao, V. Lavanya, J. Grace Kumari, G. Lakshmi | 69-75 | Click here |
| Paper Title: | INTEGRATED SOLAR WIRELESS INDUCTIVE CHARGING FOR ELECTRIC VEHICLE AND BATTERY MANAGEMENT SYSTEM USING IOT | |||
| 10 | Authors: | N.Vanajakshi | 76-79 | Click here |
| Paper Title: | Electric Vehicles Charger And Impact On Grid | |||
| S.No | Volume-1 Issue-1, Dec 2024 Published By: JCES |
Page No: | Details | |
|---|---|---|---|---|
| 1 | Authors: | Aneesha G | 1-8 | Click here |
| Paper Title: | Three Level Electric Vehicle Charger Control Algorithm | |||
| 2 | Authors: | K. Aruna Kumari, Dr. K. Sri Rama Krishna | 9-14 | Click here |
| Paper Title: | PAPR and OGWO algorithm - Transmit Sequences | |||
| 3 | Authors: | Rowthu Padma, P. Rathnakar Kumar | 15-20 | Click here |
| Paper Title: | The River Cleaning Robot Using IoT | |||
| 4 | Authors: | Rowthu Padma, Dr. P. Sobha Rani, Dr. Y. Srinivasa Kishore Babu | 21-26 | Click here |
| Paper Title: | Solar PV Charging Station For Electrical Vehicles With EV Technologies | |||
| 5 | Authors: | Rowthu Padma, P. Rathnakar Kumar | 21-26 | Click here |
| Paper Title: | IoT Based Transformer Load Monitoring and Controlling With Alerting System Using Arduino Nano and GSM | |||