Smart Navigation: Real-Time Traffic Sign Recognition Using CNNs
Authors:-Mr. R.V. Viswanathan, K. Ashik, M.Chandru, R. Gokulnath

Abstract- In today’s dynamic road environments, ensuring driver safety and efficient navigation is paramount. This paper introduces an innovative method to tackle the challenge by integrating Convolutional Neural Networks (CNNs) for real-time traffic sign identification and auditory notifications. The system provides comprehensive support for drivers in understanding traffic signs. Traffic signs are crucial for delivering vital information to drivers, but factors like poor weather conditions and driver distractions can hinder quick recognition. Our CNN-based solution addresses these issues by precisely detecting and categorizing different types of traffic signs, such as warning, prohibition, and informational signs, across various environmental settings. Furthermore, our system enhances driver awareness by providing auditory alerts alongside visual cues. When a TTS library is integrated, recognized signs can be translated into clear spoken alerts, providing drivers with timely and useful information. Our method has the potential to improve traffic safety, provide drivers with on-the-spot decision support, and further the development of intelligent transportation systems.

DOI: 10.61137/ijsret.vol.10.issue2.303

Published by: Kajal Tripathi

Enhancing Network Security through DIPS
Authors:-J. Sathishkumar, K. Dhanush, K. Aneesh, B. Vigneshwaran

Abstract- Network Intrusion Detection Systems (NIDS) play a crucial role in protecting computer networks from unauthorized access and harmful activities. This paper investigates the use of Machine Learning (ML) techniques to improve the effectiveness of NIDS in detecting network intrusions. The approach involves gathering a comprehensive dataset of both legitimate and malicious network traffic, extracting important features, and labeling data for supervised learning. Various machine learning models, such as Decision Trees, XGBoost, and Artificial Neural Networks, are assessed for their ability to differentiate between normal and malicious network behavior. The models are rigorously tested and fine-tuned to ensure precise and dependable intrusion detection. Additionally, the system notifies the user through reporting. For real-time operation, the ML-powered NIDS continuously monitors network traffic using a Denial of Intrusion Detection and Prevention System (DIPS), offering the capability to adjust to evolving conditions and new threats.

DOI: 10.61137/ijsret.vol.10.issue2.302

Published by: Kajal Tripathi

Assessment of Voids Ratio and Porosity Using Polypropylene and Coir Fibers in Geopolymer Concrete Pavers
Authors:Kavipriya S, Logesh R, Barat R, Mohamad Aarif J

Abstract- The clay In this paper, the influence of incorporating organic and inorganic fibers into geopolymer concrete paver blocks was studied. One organic fiber, one inorganic fiber and hybrid fibers were used in the concrete. Coir fiber was used as organic fiber. Polypropylene fiber was used as inorganic fiber. Geopolymer concrete pavers were cast and mixed with different percentages of fibers into the concrete. And the durability properties such as permeability and sorptivity test results were analyzed in geopolymer concrete pavers. Test results of geopolymer concrete pavers mixed with fibers were compared and analyzed with geopolymer concrete pavers without fibers and conventional paver blocks. Hexagonal pavers of size 27 x 23.5 x 5 cm were cast as per IS15658:2006. Low calcium flyash of class F was used as main source material. Quarry rock dust was utilized as fine aggregate. Sodium hydroxide and sodium silicate were used as stimulator solution.M30 grade of concrete was cast with 16 M concentration of sodium hydroxide. Specimens were cured under elevated temperature of 90℃ for 48 hours. Test results shows that specimens cast with hybrid fibers ie., with polypropylene and coir fibers results better in durability properties compared to normal conventional paver blocks and geopolymer concrete pavers blended only with polypropylene fibers. Also geopolymer concrete pavers without fibers results poor in durability properties test results.

DOI: 10.61137/ijsret.vol.10.issue1.200

Published by: Kajal Tripathi

Dynamic Load Flow Analysis and Exploring PV Unit Placement in RTS-96 Bus System at Various Locations
Authors:S.Revathi, J.jagesh, B.Kishore, S.Vignesh

Abstract- This paper delves into the dynamic load flow analysis of the RTS-96 bus system, focusing on the integration of power system units at different locations to enhance the system’s efficiency and resilience. It combines advanced power system analysis techniques with renewable energy integration strategies to optimize the performance of the power grid. The dynamic load flow analysis provides insights into the real-time behavior of the power distribution network, considering factors such as varying loads, generation patterns, and system contingencies. By leveraging the RTS-96 Bus System as the testbed, power losses, and overall system reliability can be determined. In addition to load flow analysis, the study explores the strategic placement of solar and wind grid units within the RTS-96 Bus System. By utilizing advanced optimization algorithms, the research identifies optimal locations for integrating wind and solar grids to maximize energy generation while minimizing the impact on grid in stability. The goal is to develop a comprehensive understanding of how distributed generation can be strategically deployed to enhance the overall performance of the power system. It includes conducting dynamic load flow analysis on the RTS-96 bus system to assess its real-time behavior under varying conditions.

DOI: 10.61137/ijsret.vol.10.issue1.201

Published by: Kajal Tripathi

Focus Assist: Enhancing Road Navigation with Improved Awareness Using AI
Authors:-Dr.G.Sumathi, S.Harini, R. Sowmya, P.A.Srivarsha

Abstract- Distracted driving is a major global contributor to traffic accidents. Distracted drivers are three times more likely than non-distracted drivers to be involved in an accident. For this reason, enhancing road safety requires the ability to identify driver distraction. Numerous earlier research have put forth a variety of techniques for detecting driver distraction, including approaches based on images, sensors, and machine learning. However, the accuracy, complexity, and real-time performance of these approaches are limited. Using a convolutional neural network (CNN) and the You Only Look Once (YOLO) object detection algorithm, this work suggests a unique method for driver distraction detection. The two primary phases of the suggested model are the classification of the items that are discovered and object detection utilizing YOLO. The driver’s face, hands, and other items that could distract them are among the many elements in their environment that the YOLO algorithm is used to identify and find.Next, a CNN is used to categorize the things that have been spotted in order to ascertain whether or not the driver is distracted. The suggested model performs well in identifying driver distraction when tested on a public dataset. Utilizing the CNN algorithm, assess the driver’s level of sleepiness based on ocular attributes. The integration of the suggested technique into sophisticated driver assistance systems has promise for enhancing road safety in real-time conditions.

DOI: 10.61137/ijsret.vol.10.issue2.304

Published by: Kajal Tripathi

Internet of Things Over head Conductor to Maximize a Small Hydropower Project’s Efficiency
Authors:Mahesh Shinde

Abstract- Smart buildings and towns quickly use IoT applications to save energy usage. Because of this development, there is presently a lack of understanding among professionals in the construction sector on how to utilize IoT to attain energy savings efficiently. An exhaustive overview of Internet of Things (IoT) applications for building and urban energy reductions is the goal of the research. By assisting professionals in the built environment in making use of IoT technology, this research contributes to the Internet of Things (IoT) area. This research reviewed the literature extensively to provide a comprehensive overview of the Internet of Things (IoT) and its potential ideas, models, applications, trends, and difficulties in the built environment. The results showed that experts in the sector don’t fully understand the technologies and how to use them, which makes it hard for them to create Internet of Things (IoT) plans for buildings and cities. When it comes to the Internet of Things (IoT) and its integration with the built environment, the research also discovered endless implementation and limitations. The report concludes with several important points and recommendations for moving forward with energy-efficient IoT implementation.

DOI: 10.61137/ijsret.vol.10.issue1.181

Published by: Kajal Tripathi

Topological Insulators: A Review
Authors:Assistant Professor Mr. Vivek, Dr. Manoj Kumar Mittal

Abstract- Topological insulators represent a novel class of materials that have garnered significant interest in both theoretical and experimental condensed matter physics. This research paper provides a comprehensive overview of topological insulators, covering their theoretical foundations, unique properties, and potential applications. We begin by introducing the theoretical framework of topological band theory, which underlies the emergence of nontrivial electronic band structures in these materials. Through a detailed discussion of topological invariants and symmetry-protected topological phases, we elucidate the mechanisms responsible for the robustness of surface states and their protection against disorder and perturbations. Moreover, we explore the experimental realization of topological insulators in various material systems, ranging from semiconductors to topological crystalline insulators and beyond. The paper also examines the exotic electronic phenomena exhibited by topological insulators, such as the quantum spin Hall effect, topological surface states, and Majorana fermions. Furthermore, we discuss potential applications of topological insulators in fields such as spintronics, quantum computing, and low-power electronics. By synthesizing theoretical insights with experimental advancements, this paper aims to provide a comprehensive understanding of topological insulators and their significance in the realm of condensed matter physics.

DOI: 10.61137/ijsret.vol.10.issue1.199

Published by: Kajal Tripathi

Microbial Farming: Harnessing Soil Microbiomes for Sustainable Agriculture
Authors:Saba Rana, Vipin Kumar Saini, Vikas Kumar, Ankit Kumar, Ashu Chaudhary, Zehra Husaini

Abstract- Microorganism’scontributions to disease prevention, nutrient cycling, soil health, and plant growth promotion, microorganisms are essential to sustainable agriculture. Biocontrol agents, mycorrhizal fungi, and rhizobacteria that promote plant development are examples of helpful microorganisms that can be used as environmentally benign and sustainable substitutes for traditional farming methods.Pesticides and chemical-based fertilizers are widely used to boost yields from agriculture in order to meet the nutritional needs of the world’s growing population. However, careless pesticide usage has contaminated the environment and put public health at risk. Furthermore, the quality and physical characteristics of agricultural soils, together with their chemical (nutrient imbalance) and biological health, are progressively deteriorating. Furthermore, the integration of farm-gate nutrient balance assessments and tailored fertilization plans can optimize nutrient use efficiency, reduce environmental impacts, and ensure long-term soil fertility. This paper emphasizes the need for sustainable agricultural practices that harness the power of microorganisms to improve productivity while minimizing environmental harm.

DOI: 10.61137/ijsret.vol.10.issue1.198

Published by: Kajal Tripathi

Polyhouse Technology and Its Application in Modern Agriculture
Authors:Assistant Professor Sachin Sharma

Abstract- The field of agriculture has undergone substantial evolution to incorporate innovative techniques, with polyhouse farming emerging as a sophisticated method. Polyhouses serve as a means to cultivate crops in precise environmental conditions. This research paper is dedicated to exploring the intricacies of polyhouse farming, including its various construction types, practicality, advantages, disadvantages, and its role in promoting sustainable agriculture. Furthermore, it delves into the diverse applications of polyhouse farming, spanning from vegetable cultivation to flower production and the cultivation of medicinal plants. The paper also delves into the challenges associated with polyhouse farming, such as the need for significant investments and technical expertise, while also providing recommendations to enhance its effectiveness in various agro-climatic regions.

DOI: 10.61137/ijsret.vol.10.issue1.197

Published by: Kajal Tripathi

A Review on Optimization Designs in Irrigation Systems/strong>
Authors:-Vijayalaxmi S Suvarna, Dr. Prabha S Rastogi

Abstract- Irrigation is a key aspect of agriculture, and it uses a significant amount of the nation’s available freshwater resources. Thus, for sustainable agriculture, water must be used efficiently and effectively. Improving irrigation efficiency in agriculture is needed for the survival of sustainable agriculture production. The complex irrigation network can be modeled and studied using various mathematical techniques, and it helps in understanding the system connectivity, water distribution, resource allocation, and optimization strategies. This paper presents a brief overview of some mathematical optimization techniques used for irrigation system design.

DOI: 10.61137/ijsret.vol.9.issue6.403

Published by: Kajal Tripathi