Road traffic congestion becomes a major issue for highly developed metropolitan cities. We are facing terrible road congestion especially in the cities. According to Times of India about 30 percent of deaths are caused due to delayed ambulance to reach at hospital. In proposed system, we are trying to reduce the delay for the ambulance. To smoothen the ambulance movement we come up with the solution referred as automatic traffic signal controlling for emergency Vehicles using IoT. Here the generated data will send to the hospital before the ambulance reaching to the hospital over there. As this system is fully automated and controlled by RFID , it recognizes the ambulance and control traffic signals. This system controls traffic light and the ambulance reach to the hospital on time. It saves the time in emergency period and the life of the patient. Thus it act as a life saver project

Keywords : RFID readers, Arduino NANO, ZIGBEE, Traffic Lights, USB-TTL Converter.

Authors : G Devika , P Gangadhara Reddy

Title : Automatic Traffic Signal Controlling for Emergency Vehicles using Internet of Things

Volume/Issue : 2024;1(3 (July - September))

Page No : 68 - 71

For several decades, optimization has been a key component in solving issues with wireless resource management, including beamformer design and power control. But these algorithms frequently need a large number of iterations to converge, which presents problems for real-time processing in systems like 5G/6G. We present a novel learning-based strategy for wireless resource management in this work. The main concept is to approximate the input and output of a resource allocation algorithm unknown non-linear mapping using a deep neural network (DNN). In order to create DNNs that can approximate certain algorithms of interest in wireless communications, we first characterize a class of `learnable algorithms' in this study. We show through extensive numerical simulations that DNNs can better approximate two extremely complicated algorithms used in wireless transmit signal design for power allocation while providing orders of magnitude computational time savings.

Keywords : Power Control, Beamformer Design , Transmit Signal, Computational Time, Magnitude Speedup.

Authors : K V Vara Prasad , K Mounika , B Mounika , C Likitha , N Bhoomika Sree

Title : Optimization For Sub Chanel and Power Allocation 5 G / 6G Wireless Communication Systems using Machine Learning

Volume/Issue : 2024;1(3 (July - September))

Page No : 63 - 67

This article presents an efficient Verilog-based secure voting machine with cross-voter detection, ensuring election integrity. Designed for multiple candidates and voters, it prevents unauthorized votes through voter ID system. The Verilog module, using flip-flop, stores candidate votes and IDs, implementing cross-voter detection to maintain fairness. Parameterized for scalability, the module supports a configurable number of candidates and voters, featuring a reset option. Optimizing hardware resources, the design prioritizes efficiency and minimizes voting process latency. The Verilog code forms a foundation for a secure, scalable system adaptable to specify requirements, allowing for additional security measures. Rigorous simulation and testing validate its robustness before real-world deployment, advancing digital voting systems in efficiency, and adaptability. Simultaneously the module unit is used to check the cross voter and if it finds any cross-voter face those will be removed and respective votes will treat as invalid votes. Those invalid votes will remove from genuine votes. One critical aspect is the detection of cross-voter interface, where votes are unintentionally or maliciously attributed to the wrong candidate. Verilog, a hardware description language, offers a robust platform for designing and verifying digital circuits. This abstract presents a verification methodology for detecting cross-voter interference in electronic voting systems using verilog

Keywords : Mobilities , Voting , Design of Voting Machine.

Authors : K Sai Venu Prathap , R Prashanth , M Prudvi Teja Reddy , P Narasimha , V. Naveen

Title : Design and verification of voting machine with Cross voter detection User Verilog

Volume/Issue : 2024;1(3 (July - September))

Page No : 57 - 62

The transition to electric vehicles (EVs) has gained significant momentum globally due to concerns over environmental sustainability and energy security. This project aims to design and develop an electric vehicle system that addresses the challenges such as range anxiety, charging infrastructure, and cost. The project will involve the integration of battery technologies, electric motors, power electronics, and control systems to optimize efficiency and enhance driving experience. Through this project, we aim to contribute to the advancement of electric vehicle technology and accelerate the adoption of sustainable transportation solutions. The project employs a multidisciplinary approach, combining principles from mechanical engineering, electrical engineering, and human factors design. Key components of the project include the selection and integration of high-performance lithium-ion battery packs, the development of efficient motor control algorithms, and the implementation of user-friendly interface systems for seamless interaction between the rider and the e-bike. This project focuses on the implementation of voice control features for an electric bicycle, enhancing user convenience and accessibility. The system integrates voice commands for starting and stopping the bicycle, as well as monitoring the battery level through a start of charge mechanism. Key components utilized include a BLDC motor, controller, and Battery Management System (BMS). The voice control functionality offers a hands-free operation experience, ensuring safety and ease of use for riders. By leveraging modern technology, this project aims to demonstrate the feasibility and practicality of integrating voice commands into electric bicycles, thereby enhancing their functionality and user experience.

Keywords : BLDC Motor, Lithium-ion Battery, Voice Command, DC Controller, Battery Management System.

Authors : P Sai Sreenivas Reddy , S Md Anis , P Sreenivasulu , N Sudharshan Reddy , M S Vaseem , K Narasimhulu

Title : Smart Electric Bicycle

Volume/Issue : 2024;1(3 (July - September))

Page No : 45 - 56

Elevator systems are an integral part of modern urban design, facilitating horizontal movement in multi-storey buildings. Ensuring the safety, reliability and efficiency of these systems is paramount. This work proposes a detailed design of an elevator control system using Xilinx ISE, with breakthrough features to enhance breakthrough detection and loading mechanism. Breach detection is an integral part of a system’s security infrastructure. By continuously monitoring critical parameters such as motor speed and door status, it can immediately detect any abnormalities indicating a possible outage when detected, and the system immediately initiates predetermined routes , ensuring passenger safety and reducing downtime. Another important aspect of the system is the integration of containers. This system ensures that the elevator exceeds the specified load, thereby preventing dangerous overloads. Passenger and cargo weights are accurately measured by weight sensors, and system function is dynamically modulated to maintain the safety level the main aim to design an elevator that can solve the both overload and breakdown issues, rather than having each one implemented separately. To implement the proposed scheme, a hardware description language such as VHDL or Verilog is used to describe the behaviours of the individual modules. Extensive simulations are conducted to evaluate the performance of these modules under different operating conditions. The configuration is then created and modified using the Xilinx ISE tools.

Keywords : Elevator Control System, Xilinx ISE, Breach Detection, Overload Protection, VHDL/Verilog.

Authors : K Abdul Munaf , Kanturi Jeevan Sai , Obula Reddy , Dinesh, Kamatham Pujitha , C K Mamatha

Title : Implementation of Elevator with Weight and Breakdown Mechanism using Xilinx ISE

Volume/Issue : 2024;1(3 (July - September))

Page No : 44 - 48

This paper explores the development of a comprehensive system designed to enhance vehicle safety by interfacing various sensors and modules with a Raspberry Pi. In our proposed project, the system provides sensors that allow detecting heart rate of a person using heartbeat sensing even if the person is at a remote place (i.e. home, office, travel. Etc). The system incorporates a heart rate sensor to monitor the driver's heartbeat, an alcohol sensor to detect alcohol levels, and an ultrasonic sensor to measure the distance between the driver's vehicle and the vehicle ahead. Visual feedback is provided through an LCD display, while auditory alerts are facilitated by a buzzer. Additionally, the system includes a motor and motor driver to simulate vehicle actions. A GPS module is integrated to obtain latitude and longitude coordinates, enabling location tracking, while a GSM module allows for SMS alerts to be sent in the event of critical situations. By combining these components, the system aims to provide real-time monitoring and alerts to mitigate potential risks associated with impaired driving and maintain road safety standards.

Keywords : Raspberry , IOT, Heartbeat Sensor, Alcohol Sensor, Ultrasonic Sensor, GSM, GPS, Driver Module.

Authors : N Kishore Kumar , B Jeevan Kumar , C Manikanta Reddy , B Dinakar , N Chandu

Title : IoT based Heart Attack and Alcohol Detection using Raspberry Pi

Volume/Issue : 2024;1(3 (July - September))

Page No : 39 – 43

This abstract presents an innovative enhancement to the Orthogonal Time Frequency Space (OTFS) based wireless transmitter architecture, focusing on increasing the bit size to 1024 bits for input and 16 bits for output. This modification aims to significantly boost the speed and efficiency of the transmitter, leveraging advanced Fast Fourier Transforms (FFTs) and Inverse Fast Fourier Transforms (IFFTs) in a fully parallel and pipelined hardware architecture on the XC7A35TCPG236-1 FPGA. By optimizing the utilization of LUTs, flip-flops, and input-outputs, the design achieves high accuracy and maximum throughput with minimal hardware resources. This study not only advances the capabilities of OTFS transmitters but also contributes to the broader field of digital signal processing, offering a scalable solution for high-speed data transmission in dynamic environments.

Keywords : HDL, OFTS. IFFT, FPGA, MIMO, TF

Authors : M Jagadeesh Babu , R Nagarjuna , V N S Prahallada Reddy , M Mogileeswara Yadav , P Sreenivasulu Reddy

Title : Implementation of Modified OTFS Transmitter using Fully Parallel and Pipelined Architecture with Verilog HDL

Volume/Issue : 2024;1(3 (July - September))

Page No : 31 - 38

Progressive deep image compression is a method for compressing digital images using deep learning techniques. It is an extension of traditional image compression methods, such as JPEG and PNG, which use a combination of mathematical algorithms to compress images. In progressive deep image compression, a deep neural network is trained to learn how to compress images in a way that preserves image quality while reducing file size. The network is trained in a progressive manner, where the compression quality is gradually increased as the network is trained on more data. The main advantage of progressive deep image compression is that it can achieve higher compression ratios while maintaining image quality compared to traditional methods. This is because the neural network can learn to identify and preserve the most important features of an image while discarding less important information. The use of deep learning in image compression is a rapidly evolving area of research, with many new techniques and algorithms being developed. Progressive deep image compression is one such technique that shows promise in improving the efficiency of image compression for a wide range of applications. Results show the superiority over the existing approaches and performance metrics supports the proposed model in progressive image compression.

Keywords : Deep Neural Networks, Progressive Compression, Image Quality Preservation, Compression Ratio.

Authors : N Rama Kumar , A Heena Kousar , M Jahnavi , P Lokeswari , K Harshitha

Title : Compression of Depper Images for Hybrid Contexts of Picture Order and Recreation

Volume/Issue : 2024;1(3 (July - September))

Page No : 28 - 33

We propose a grouping steering calculation for remote sensor organizations (WSNs) in view of blended system game hypothesis (CR-MSGT), which recreates the way of behaving of sensor hubs in an organization through the blended technique model, in order to decide if sensor hubs partake in the appointment of competitor bunch heads (CHs). The sensor hubs are arbitrarily chosen as CHs or normal hubs as per their lingering energy and the typical energy of the organization. Games are consistently played between hubs until the income capability is boosted to arrive at the game harmony, in this way demonstrating the presence of the Nash balance. Exploratory outcomes demonstrate the way that CR-MSGT can really expand the survivability of an organization and relieve the energy utilization of hubs.

Keywords : WSN, MSGT, Game Theory, CR-MSGT, GTDCA

Authors : M Karunakar Reddy , M Bavana , M Bharathi , R Anjali , G Anusha , K Lakshmi Kaveri

Title : Mixed Strategy Game Theory based Clustering Routing Algorithm for Wireless Sensor Networks

Volume/Issue : 2024;1(3 (July - September))

Page No : 23 - 27

The upside of man-made intelligence and Battle vehicle is the high level abilities of raspberry pi and Arduino uno microcontroller to address deficiencies present in existing security and reconnaissance arrangements. By coordinating a Pi Cam 8MP with Raspberry Pi 4B, the framework accomplishes upgraded gatecrasher recognition exactness. Upon location, a servo engine quickly situates a laser for exact focusing on, fundamentally working on functional proficiency. Supplementing this, a ultrasonic sensor, combined with picture handling methods, further refines discovery capacities, empowering the framework to precisely perceive dangers. In addition, the consideration of GPS innovation guarantees powerful gadget confinement, supporting both functional viability and framework recuperation in the event of misfortune or removal during crucial undertakings. The Arduino uno microcontroller serves the headquarters unit, it organizes the framework works and lodging fundamental projects, in this manner improving on it to make it more productive and programming process. These progressions all in all enable the framework with that outcomes from the rehashed estimation of a realized worth will be generally comparative outcomes under similar conditions, and having various abilities or characteristics, and independence, defeating the limits of customary security arrangements. By the activity or cycle of joining together or combining at least two things state of the art equipment parts and insightful calculations, the proposed framework is utilized to expand the security conventions and reconnaissance.

Keywords : Robotics, IOT, Raspberry Pi, Laser, Ultrasonic Sensor, GPS.

Authors : M Karunakar Reddy , Y Reddy Prakash , Y Srikanth , C Reddy Prasad , S Shuaib Akthar , V Naveen Kumar

Title : Conceivable Outcomes of Correspondence between the Artificial Intelligence and Battle Vehicle

Volume/Issue : 2024;1(3 (July - September))

Page No : 18 - 22

Thousands of people are infected with lung cancer every year, and the patient's chances of survival are extremely low if the disease is not detected in its early stages. For the reasons already stated and to aid in overcoming this dreadful situation, early diagnosis with the use of AI methods is absolutely necessary. Using a convolutional neural network approach with AlexNet architecture, this research provided a computer-aided system for identifying lung cancer in a dataset obtained from Iraqi hospitals. The system helps with the identification of patient cases, whether they are normal, benign, or malignant. With a maximum accuracy of 93.548%, the suggested model is quite precise. Accuracy is 98.714 percent and specificity is 95.0 percent, two further performance criteria with very high results.

Keywords : Lung Cancer Detection, SVM, K- Means , AI.

Authors : C Manoj Kumar , Sindaluri Devisree , E Harshitha , E Gayatri , P Hema Mahuri

Title : Detection of Lung Cancer using SVM Algorithm and Comparing With K-Means Accuracy

Volume/Issue : 2024;1(3 (July - September))

Page No : 13 - 17

This abstract presents a study on predicting machine failure status using machine learning techniques. With the increasing complexity of industrial systems, early detection of machinery failures is crucial for maintaining operational efficiency and minimizing downtime. In this research, various machine learning algorithms are employed to analyse historical sensor data and identify patterns indicative of impending failures. The proposed approach demonstrates significant potential in accurately predicting machine failures, thus enabling proactive maintenance strategies. Experimental results showcase the effectiveness of the model in achieving high accuracy and precision in predicting failure conditions across diverse industrial settings. This work contributes to the field of predictive maintenance by harnessing the power of machine learning to enhance operational reliability and optimize maintenance schedules.

Keywords : Machine Failure, Machine Learning, AI, CNN, DL.

Authors : D Ramachandra Reddy , M Mohammed Fazil Khan , Farooq , T Mahesh , M Nagendra Babu

Title : Prediction of Machine Failure Status using Machine Learning Techniques

Volume/Issue : 2024;1(3 (July - September))

Page No : 9 - 12

Electronic trade, or Web based business, is directing business over the Web. Typically it alludes to trading labor and products, and moving assets carefully. There are many advantages to Electronic trade business, not the least of which is decreased exchange costs. When disconnected stores work out exchange costs, they need to consider incalculable business uses alongside the real number of exchanges. At the point when there are less exchanges, the expense of per exchange is higher. Then again, exchanges showing up in high amount can overpower your work force and wholesalers. In an Electronic trade business, the exchange cost is similar no matter how you look at it, whether one request or thousands come in. Electronic selling almost takes out handling mistakes that spin out of control with human processors. This converts into less sat around taking care of request and receipt issues. Despite the fact that errors don't bring about expenses or punishments, they in all actuality do occupy significant representative investment. Electronic trade opens up staff individuals to zero in on benefit creating exercises. Electronic Trade can work on the most common way of purchasing/selling. Correspondence happens exceptionally quick assuming business occurs over Web. Both the purchaser and dealer get helped utilizing Electronic Trade.

Keywords : Transaction Cost, Process improvements, Product improvements.

Authors : R Nivedha , P Saalim , T Naveen , S Noorshavalli , Y Uday Kiran

Title : Customer Profiling Method for Hi-Tech Trading Apps

Volume/Issue : 2024;1(3 (July - September))

Page No : 6 – 8

This paper presents the design and implementation of a Water is the essence of life, indispensable for human survival and essential for the health of ecosystems. However, ensuring that our water sources remain clean and safe for consumption is an ongoing challenge. With increasing urbanization, industrialization, and agricultural activities, pollutants are finding their way into our water bodies at an alarming rate. The necessity for rigorous water quality testing has never been more critical to safeguard public health and the environment. This study presents an experimental investigation into the water resources of Punganur Mandalam, situated in the Chittoor district of Andhra Pradesh State. The research focuses on analyzing key factors including fluoride concentration, chloride levels, pH, and temperature within the aforementioned water sources. Emphasizing the importance of these parameters, the study aims at providing insights into the quality and suitability of water for various applications. Conducted across thirty stations, the experimental methodology integrates both laboratory analyses and visualization using Geographic Information System (GIS) techniques. The study endeavors to delineate spatial variations in water quality across the region. The findings of this research offer valuable conclusions regarding the status of water resources in Punganur Mandalam. Through a comprehensive examination of the collected data, the study sheds light on the distribution patterns of fluoride, chloride, pH levels, and temperature variations. These conclusions are drawn by synthesizing experimental observations with geographical information, providing a holistic understanding of the water quality dynamics in the region. The significance of this study lies in its contribution to informed decision-making processes regarding water resource management and conservation efforts. By identifying areas of concern and highlighting factors influencing water quality, the research serves as a foundation for implementing targeted interventions aimed at improving water accessibility and safeguarding public health in the region.

Keywords : Reversible logic gates, Pipelined ALU, Verilog, FPGA, High Performance computing.

Authors : Chaitanya Naick , Reddy Prasad , Affarn Khan , Murali Krishna

Title : Assessing Fluoride And Chloride Levels In Punganur Water Resources: A Comprehensive Experimental Investigation

Volume/Issue : 2024;1(3 (July - September))

Page No : 1 – 5