strong>An Emprical Study on Substituting Sugarcane Bagasse Ash Aor a Portion of Cement in Mortar
Authors:-S.Gowtham, R.C.Haniska, C.Haniskaa, R.Pradheepa

Abstract-We are aware that a lot of damage is done to environment in the manufacture of cement. It involves lot of carbon emission associated with other chemicals. The researches has shown that every one ton of cement manufacture releases half ton of carbon dioxide, so there is an immediate need to control the usage of cement. The hand materials wastes such as Sugar Cane Bagasse Ash is difficult to dispose which in return is environmental Hazard. The Bagasse ash imparts high early strength to mortar and also reduce the permeability of mortar. The Silica present in the Bagasse ash reacts with components of cement during hydration and imparts additional properties such as chloride resistance, corrosion resistance etc. Therefore the use of Bagasse ash in concrete not only reduces the environmental pollution but also enhances the properties of mortar and also reduces the cost. It makes the mortar more durable. This project mainly deals with the replacement of cement with Bagasse ash in fixed proportions and analysing the effect of SCBA blended mortar. The concrete mix designed by varying the proportions of Bagasse ash for 0%, 5%, 10%, 15%, 20%, 25%, 30% the cubes are been casted and cured in normal water for ages of 7, 14 and 28 days. The test result indicate that the strength of mortar increase up to 10% Sugar cane bagasse ash replacement with cement.

DOI: 10.61137/ijsret.vol.9.issue2.203

Published by: Kajal Tripathi

strong>Scalable Data Ingestion and Analytics: Leveraging Azure Data Explorer for IoT Performance Optimization
Authors:-Seetaiah B, Technology Manager

Abstract-The proliferation of IoT devices has led to a significant increase in telemetry data, creating challenges in data ingestion and processing using traditional SQL databases. As device counts grow, SQL database performance degrades, resulting in slower data handling and inefficient query responses. This paper explores the implementation of Azure Data Explorer (ADX), a fully managed data service, to overcome these challenges. By leveraging ADX, the system achieved faster data streaming, improved performance, and greater scalability. This case study presents a detailed analysis of the migration process, performance improvements, and future scalability considerations.

DOI: 10.61137/ijsret.vol.9.issue2.196

Published by: Kajal Tripathi

strong>Design and Fabrication of Fixed-Wing Unmanned Aerial Vehicle (UAV) With Dropping Mechanism
Authors:-Assistant Professor Mr.N.Kawin, P.Tharun, VP.Vaishnav, M.Yogesh

Abstract-Unmanned Aerial Vehicles (UAVs) which are also known as Drones are aircrafts without a human pilot on board, -usually controlled by a ground-based controller and a communication system or by the ability of being programmed with various degrees of autonomy. The reason of the rapid advancement on drone technology is the need for more precision, accessibility, safety and cost effectivity in many fields. They currently lack the flexibility and adaptability of manned aircrafts. By some measures, 80% of the global drone industry revenues are related to agriculture, in some way. (R1) Unmanned aerial vehicles (UAVs) are one of the most promising innovative technologies invented in recent years to promote precision agriculture and smart farming. UAVs can not only reduce labour requirements but also increase production output, reduce the use of pesticides, and protect the environment. The main objective of our project is to design an aircraft that is capable of lifting as much weight as possible while taking into account the available power and aircraft’s length, width, and height requirements. A special attention has been devoted to Dropping Mechanism of the payload which can help us in gaining more ways to deliver the goods we need. The following report is a synopsis of the design process, Fabrications, component selection and Fly with maximum payload.

DOI: 10.61137/ijsret.vol.9.issue2.197

Published by: Kajal Tripathi

Experimental Investigation of Sisal Fiber and Slag-Based Bio-Fiber Composites: Mechanical, Chemical, Acoustical, and Morphological Analysis
Authors:-E. Prakash, Lerindeoni S, Reny R

Abstract-The growing demand for sustainable materials has spurred significant interest in bio-fiber-reinforced composites. This study investigates the development and characterization of a novel composite material composed of sisal fiber and industrial slag as key constituents. The composite was fabricated using varying fiber weight fractions and thoroughly analyzed for its mechanical, chemical, acoustical, and morphological properties. Mechanical tests revealed that optimal fiber loading improved tensile and flexural strengths, highlighting the load-bearing capability of sisal fibers. Chemical analysis through FTIR and XRD confirmed successful interfacial bonding and the presence of pozzolanic reactions between slag and the binder. Acoustic tests demonstrated promising sound absorption properties, especially in mid-frequency ranges, making the material suitable for noise reduction applications. SEM micrographs illustrated uniform fiber dispersion and good matrix-fiber adhesion, while EDS validated the elemental composition. Overall, the sisal fiber and slag-based composite exhibited a balanced combination of mechanical strength, chemical stability, acoustic damping, and morphological integrity, suggesting its potential use in eco-friendly construction and automotive applications.

DOI: 10.61137/ijsret.vol.9.issue2.210

Published by: Kajal Tripathi

strong>Interlinking of Local Water Bodies in the Villages of Thethakkudi, Mayiladuthurai District, Tamilnadu, India
Authors:-Sridhar N, Jeevitha M, Kamalini V, Kokila K

Abstract-Interlinking of water bodies involves the process of diverting surplus water through a network of canals. Through which the water bodies can holds water for a much longer period than in the past. This would cover additional areas for irrigation, remove the imbalance in availability of water and create the way for effective utilization of available water resources. Therefore, this project will offer interlinking of local water bodies through the link water channels at micro-level in the village of Thethakkudi. The Thethakkudi is a village in Mayiladuthurai district in Indian state of Tamil Nadu. The present population of the village is 358. Out of these 129 are men, 141 are women and 88 are children. The village is administered by the Kathiruppu Panchayat, which covers an area of 0.98km2. Thethakkudi has an average elevation of 4m and is located 11km from the coast of Bay of Bengal. Even this income they get from outstations because of the lack of quantity and quality of water resources. Therefore, the agriculture in this village is also being destroyed. Currently there are more than 20 excavated ponds and puddles are available. Very few ponds are seasonal at best, and their water does not last beyond monsoons. Most of the ponds are get water from rainfall, also dry up as early as March. So, the process of diverting surplus pond water through a network of canals to relatively drier areas are more useful for agriculture development of the village. Therefore, the aim of this project is to improve the agricultural practices through interlinking of ponds depending upon the local topographical survey using Remote Sensing and GIS. The Remote Sensing and GIS with DEM Techniques are used to study topography of the ground and to analyze the morphologic characteristics easily, quickly and at low cost. The benefits accruing from this project are crop diversification, better farm practices, improving food productivity, rejuvenation of groundwater and improving revenue of farmers.

DOI: 10.61137/ijsret.vol.9.issue2.204

Published by: Kajal Tripathi

strong>Modified LUO Based Boost Converter with Single Input and Multi Output Topology
Authors:-C.Gowrishankar, K. Divyabharathi, K.Lalithapriya, S.Pooja, A.Srilekha

Abstract-A power electronics device that transforms a low voltage input to a higher voltage output is the Modified Luo Based Boost Converter with Single Input and Multi-Output Topology. This paper proposes a modified Luo converter utilizing a coupled inductor and a diode-capacitor network to achieve multiple output voltages. The proposed circuit operates in continuous conduction mode (CCM), ensuring stable output voltage despite input variations. Simulation and experimental results validate the converter’s performance, demonstrating superior efficiency and reduced output voltage ripple compared to conventional converters. The high voltage gain and effective energy conversion make this topology ideal for various industrial and consumer applications, including telecommunications, renewable energy systems, and embedded power supplies.

DOI: 10.61137/ijsret.vol.9.issue2.202

Published by: Kajal Tripathi

strong>Miscellaneous Trends Detection of Neovascularization in Fundus Images Using Convolutional Neural Network
Authors:-Associate Professor Dr.F.R.Shiny, Malar, Abishega A G, Anusree A, Christeena Joy A, God Shaly J

Abstract-Visual impairment is one of the major health prob- lems in the world. The main reasons for visual impairment are lifestyle factors and limited eye care resources. Therefore, early screening and timely treatment are the keys to prevent vision damage. This project proposes a detection of neovascularization in fundus images using convolutional neural network. Wiener filter is used for preprocessing. In preprocessing noise is removed from the input dataset. Image segmentation is a critical step in image processing. One of the most common image segmentation methods is fuzzy c-means clustering. Fuzzy c-means clustering methods have a lot of potential when it comes to extracting detailed features from image pixels. Fuzzy c-Means (FCM) clustering is a popular unsupervised learning algorithm. The selected characteristics are fed into the Convolutional Neural Network (CNN) classifier for data classification using machine learning. This CNN classifier model attempts to reduce the number of features in a dataset. Finally, the CNN classification method is used to improve accuracy.

DOI: 10.61137/ijsret.vol.9.issue2.205

Published by: Kajal Tripathi

Dynamic Analysis of Thermal Stresses in a Semi-Infinite Solid Circular Cylinder
Authors:-J. J. Tripathi

Abstract- This paper presents an analysis of the thermoelastic response of a semi-infinite solid circular cylinder subjected to an arbitrary initial heat input on its lower surface, while the curved surface is thermally insulated. The study employs a dynamic approach based on potential functions to model the system. The resulting expressions for temperature distribution and thermal stresses are derived using Bessel’s functions. To demonstrate the applicability of the model, copper (pure) is selected as the material, and the outcomes are visualized graphically, highlighting the thermal and mechanical behavior under dynamic conditions.
DOI: 10.61137/ijsret.vol.9.issue1.260

Published by: Kajal Tripathi

Multilevel Authentication System Based on Periocular Features Using Deep Learning Algorithm
Authors:-Nivetha L, Mohan P, Thanga Thamizh/strong>

Abstract- The iris recognition biometric technique faces limitations primarily due to the high costs associated with optical equipment and the inconvenience experienced by users. As an alternative, periocular-based methods offer a viable solution for biometric authentication, as they do not necessitate costly devices. Furthermore, the data obtained from these methods are valuable for biometrics since they capture features such as eyelashes, eyebrows, and eyelids. However, traditional periocular-based biometric authentication techniques rely on restricted sets of features based on the chosen feature extraction method, leading to comparatively subpar results. Consequently, we introduce a deep-learning approach that makes full use of the diverse features present in periocular images. This method preserves the mid-level features from the convolutional layers and selectively incorporates those that are most beneficial for classification. We evaluated the proposed approach against prior methods using both publicly available and self-gathered datasets. The results of the experiments indicate an equal error rate of less than 1%, outperforming earlier techniques. Additionally, we present a novel methodology to assess whether mid-stage features have been effectively utilized. As a result, it was demonstrated that this strategy, which leverages mid-level features, significantly enhances the performance of feature extraction within the network.
DOI: 10.61137/ijsret.vol.9.issue1.132

Published by: Kajal Tripathi