Authors: Dr. A. Ranganayakulu, Mr. A. Prasad, M. Ramana Reddy, B. Ajanta Reddy, Dr. D. Satya Narayana

Abstract: Using efficient finite field multipliers becomes vital in elliptic curve cryptography (ECC), where data security and authentication are critical. These multipliers do affect performance, however, because they use quite a lot of hardware resources. The Karatsuba algorithm and its variations are explored in this study as a means to enhance hardware efficiency on FPGA devices. Although performance is improved with the overlap-free Karatsuba algorithm. Problems with recombining intermediate findings cause them to add 20% mistakes. We present a modified Karatsuba method that can compute four key outputs for 2-bit inputs error-free to solve this problem. The revised design tested on Artix-7 FPGA and implemented in Verilog HDL, cuts power consumption by 73.95% and area utilization by 95% when compared to the original Karatsuba algorithm. Its overall efficiency is much improved while accuracy is guaranteed, despite a 3.22% increase in area and an 11.12% increase in power compared to the overlap-free version.

DOI: http://doi.org/10.5281/zenodo.20394919

Published by: vikaspatanker

Authors: Mr.N.B.Jilani, Mr.M.Ramana Reddy, Dudekula Chinna Khasim Vali, Nukala Sai Kumar, Shaik Mahaboob Subhani, Pengani Ganesh, Uppaladinne Ram Charan

Abstract: Accurately locating faults in subterranean cable connections is a prevalent challenge, particularly in cities, and the suggested approach aims to tackle this problem. A power supply and an Arduino microcontroller kit form the basis of the system, which measures the wire length in kilometers using current measurement circuits linked to the microcontroller's Analog to Digital Convertors (ADC) device. A relay circuit is used to regulate the relays, and switches are employed to simulate faults. You can see the specifics of the issue as they happen on a 16×2 LCD screen. Short circuit problems in the underground cable may be caused by environmental factors such as rain, subterranean pollution, drain leakage, and so on. Among the many possible problems with subterranean cable, the identification of short circuit faults is the primary emphasis of this work. By monitoring voltage variations across the resistor and calculating the distance from the source feed point, the ADC digitizes the data and displays it on the LCD, pinpointing the exact position of the short circuit defect. The Wi-Fi module 8266 helps to save the specifics of the defect location in the cloud, allowing for subsequent investigation. Because of this, the suggested design for the Arduino microcontroller can pinpoint the precise location of the problem in terms of kilometers from the base station. Additionally, in the event of a malfunction, a buzzer alerts field personnel to the urgency of the situation. This innovative approach provides a dependable and efficient means of locating and identifying issues with underground cable cables. This reduces downtime and facilitates service.

DOI: http://doi.org/10.5281/zenodo.20394874

Published by: vikaspatanker

Authors: Dr.P.Prasanna Murali Krishna, Mrs.N.Swarupa Rani, Mudamala Manoj, Dudekula Mastan Vali, Patibandla Jayanth, Baddigam Koti Reddy

Abstract: The Xilinx Zynq-7000 system on a chip (SoC) is the basis for the home automation system described in this article. The FSM logic processes the signals from the sensors (the fire sensor requires 5V digital and the buzzer 5-12V) using Verilog HDL. The RTL schematics and waveforms were validated using Cadence tools. The three-second detection threshold for fire and intruder alarms is one of the most important features, along with automatic lighting and temperature adjustment. The scalability of the modular system allows for the easy integration of more devices, which in turn increases functionality and security.

DOI: http://doi.org/10.5281/zenodo.20394814

Published by: vikaspatanker

Authors: Prof. Mahesh Dumbere, Vivek Thakre, Pratik Patil, Ritesh Magare, Mahesh Gajbhiye

Abstract: The demand for effective delivery route optimization has grown due to the quick expansion of online meal delivery services. In order to reduce delivery time and expense, this study suggests a web-based meal delivery system that makes use of the Travelling Salesman Problem (TSP). For a delivery agent to visit several clients and return to the starting point, the system calculates the quickest path. To solve TSP, a variety of algorithms are examined, including Nearest Neighbor, Genetic Algorithm, and Dynamic Programming. The suggested solution increases customer satisfaction, lowers fuel consumption, and improves delivery efficiency. According to experimental results, optimized routing performs noticeably better than conventional delivery techniques.

Published by: vikaspatanker

Authors: Mr.A.Prasad, Mrs.N.Swarupa Rani, Batchu Bala Bhargavi, Chinni Yamini, Chityala Lakshmi Devi, Chilakala Anjali

Abstract: Because of its capability to do arithmetic operations at fast speeds, the Multiply-Accumulate (MAC) Unit is an essential part of all digital signal processor applications. An 8-bit MAC Unit that can do addition and multiplication is the target of this study. While the MAC Unit uses the same multiplier, it incorporates other adders, including the Kogge-Stone, Ladner-Fischer, Carry Look-Ahead, and Ripple Carry adders. Xilinx ISE was used to implement the structures that were created in Verilog Hardware Description Language (HDL), and ModelSim was used for simulation.

DOI: http://doi.org/10.5281/zenodo.20394713

Published by: vikaspatanker

Authors: Mr.K.Ch.Malla Reddy, Mr.M.Ramana Reddy, Muthakapalli Sai Sravani, Tadi Kranmai, Chinamanagonda Ranga Gayathri, Kothakota Vara Lakshmi

Abstract: A multiplier is an essential part of many extremely large scale integration systems and finds extensive application in digital circuits for innumerable arithmetic calculations. One of the most fundamental operations in digital technology is multiplication, and hardware multipliers are essential for quick computing and efficient data processing. There have been several design approaches to multipliers that focus on surface area and energy efficiency in response to the desire for high-performance, low-power multipliers. Our study presents a 4-bit field multiplier with improved energy efficiency compared to conventional designs, using a modified gate-diffusion input (MGDI) cell architecture. The energy consumption of the MGDI-based multiplier is significantly reduced to 1.109861 mW without sacrificing any of the essential operating efficiencies. Thorough simulations have been conducted to showcase the performance of the 4-bit MGDI multiplier, which was meticulously constructed utilizing Tanner EDA tools. Low power, 4-bit multiplier, time delay, transistor count, modified gate diffusion input (MGDI) are some of the keywords.

DOI: http://doi.org/10.5281/zenodo.20394671

Published by: vikaspatanker

Authors: Dr.A.Ranganayakulu, Dr.D.Satyanarayana, Allam Lakshman, Tadikamalla Madhav Kumar, Pasala Harikrishna, Sandala Dinesh Kumar

Abstract: Immediate diagnosis and management are crucial in preventing serious consequences for older and mobility-impaired patients, since falls are a leading cause of injury in these populations. Using Arduino and Bluetooth, this project aims to create a patient fall monitoring system that can detect falls in real-time and notify caregivers immediately. A microelectromechanical system (MEMS) sensor detects abrupt and uncontrollable falls by continuously monitoring the patient's movement and assessing changes in posture, speed, and acceleration. By analyzing sensor data, a fall detection system that is based on thresholds may distinguish between normal activities and actual falls. The technology immediately notifies registered mobile devices over Bluetooth and activates a buzzer alarm for local alerting the moment a fall is detected. A wide variety of fall occurrences, such as sliding, tripping, and abrupt loss of balance, were detected with excellent sensitivity in the experiments. It was determined that the system reliably and without noticeable delay sent emergency alerts regardless of ambient conditions like vibrations and the range restrictions of Bluetooth. The open-source, ever-improving architecture of Arduino makes it possible to include Wi-Fi or cellular connection for expanded coverage in future expansions. The system's ability to monitor, notify, and intervene in real-time enhances patient safety.

DOI: http://doi.org/10.5281/zenodo.20394577

Published by: vikaspatanker

Authors: Mr.B.Ajantha Reddy, Mr.K.Ch.Malla Reddy, Immadi Venkata Naga Sai Pujitha, Byragani Manasa, Bathula Varshini, Shaik Fathima

Abstract: The purpose of this project is to make home or office or any area secure. When someone presses the doorbell, then the doorbell makes a video call to the registered number. If someone roams in front of the door it notifies you by sending message. Then he can see the person who is roaming in front of our door. So, if the person is known we can open the door otherwise we can be alert. And also, we can talk to the person through mobile only and the person can reply there itself, because it contains the audio speaker so that we can hear the outside people talks trough the mobile once we pick up the video call. If someone tries to steal it then the steal alarm will be activated.

DOI: http://doi.org/10.5281/zenodo.20394540

Published by: vikaspatanker

Authors: Burhan Sheikh, Vighnesh Muppawar, Jiya Khan Pathan, Suyog Madavi, Prof. Sachin Dhawas

Abstract: CompThe Pradhan Mantri Awas Yojana (PMAY) is a flagship initiative by the Government of India aimed at providing affordable housing to the rural and urban poor. However, at the local administrative level (Zila Parishad), the management of beneficiary data involves processing massive, decentralized Excel datasets. This manual approach leads to data redundancy, lack of real-time monitoring, and significant difficulty in identifying stalled projects. This paper proposes "Data Driven Housing Intelligence," a web-based analytical application designed to automate and centralize PMAY data management. Developed using the Python Flask framework, the system integrates bulk data ingestion, automated data cleaning using the Pandas library, and persistent storage in a structured SQLite database. It features a multi-level drill-down dashboard with interactive visualizations (Bar and Pie charts) for block-wise analysis. Furthermore, it introduces a "Visual Audit" mechanism allowing stage-wise photo uploads for transparency and an automated algorithm to flag delayed projects. The implementation results demonstrate a significant reduction in administrative overhead and improved data accessibility for government officials.

Published by: vikaspatanker

Authors: Dr. Isha Patnaik

Abstract: The rapid advancement of digital technologies has transformed traditional marketing practices and significantly influenced consumer behavior. Digital marketing has emerged as a crucial strategy for organizations to enhance brand visibility, improve customer engagement, and influence purchasing decisions. The present study examines the influence of digital marketing on brand awareness and its impact on consumer purchase decisions. The primary objective of the study is to analyze the relationship between digital marketing activities, brand awareness, and consumer purchasing behavior. The research adopts a descriptive research design, utilizing both primary and secondary data sources. Primary data were collected through structured questionnaires distributed among 300 respondents who actively use digital platforms. The study employed statistical techniques such as descriptive analysis, correlation analysis, and regression analysis to examine relationships among variables. The findings reveal that digital marketing has a significant positive influence on brand awareness, indicating that increased exposure to digital marketing activities improves brand recognition and familiarity among consumers. Furthermore, the results demonstrate that higher brand awareness positively affects consumer purchase decisions by increasing trust and purchase intention. Regression analysis confirms that digital marketing and brand awareness together significantly contribute to predicting consumer purchasing behavior. The study concludes that digital marketing serves as an important strategic tool for strengthening brand awareness and influencing consumer buying decisions in the digital environment. The findings suggest that businesses should invest in effective digital marketing strategies to enhance brand positioning, improve customer engagement, and achieve sustainable competitive advantage. Future research may explore additional variables and advanced analytical methods to provide deeper insights into consumer behavior in evolving digital marketplaces.

DOI: http://doi.org/10.5281/zenodo.20393866

Published by: vikaspatanker