Category Archives: Uncategorized

Optimization of Print Speed for FDM Process Using Minitab

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Optimization of Print Speed for FDM Process Using Minitab
Authors:-Mrs. B. Siva Naga Ramya, Kommukuri Praveen, Bandarlanka Satya Sai, Peddapati Sai Naredra, Boddapati Madhusudhan

Abstract-The Fused Deposition Modeling (FDM) process is widely used in additive manufacturing due to its cost-effectiveness and design flexibility. However, optimizing the print speed without compromising material consumption and surface quality remains a critical challenge. This study focuses on optimizing print speed, infill pattern, and wall count using the Design of Experiments (DOE) methodology in Minitab to achieve an optimal balance between printing time, material usage, and surface finish. The research evaluates the impact of these parameters on printing efficiency through a structured Taguchi experimental design approach, allowing for the identification of parameter settings that minimize print time while ensuring adequate part strength and surface smoothness. Various infill patterns (rectilinear, honeycomb, gyroid, and concentric), wall counts (single, double, and multiple shells), and print speeds were tested to determine their influence on material deposition rate, layer bonding, and overall print quality.

DOI: 10.61137/ijsret.vol.11.issue2.320

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Prep Gate: Advanced GATE Exam Preparation Platform using android studio & Java

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Prep Gate: Advanced GATE Exam Preparation Platform using android studio & Java
Authors:-Aman Patre, Abhishek Bawankar, Mohit Selokar, Pallavi Pandey, Professor Saroj A. Shambharkar

Abstract-Prep Gate is a comprehensive mobile application designed to aid students in preparing for the Graduate Aptitude Test in Engineering (GATE), an essential examination for aspiring engineers in India. This Android-based platform offers a wide array of tools and resources that cater to the diverse needs of GATE aspirants, providing them with easy access to study materials, practice tests, progress tracking, and more, all in a user-friendly environment. Developed using Android Studio, Prep Gate incorporates interactive features such as quizzes, mock tests, and time-based assessments, allowing users to simulate real-time exam scenarios and evaluate their performance. The app also provides essential study resources, including subject-wise notes, video tutorials, and reference materials, which can be accessed at any time, facilitating flexible learning. To enhance user engagement, Prep Gate leverages Firebase Authentication for secure user login and personalized experience, allowing users to track their progress over time, set study goals, and receive timely reminders and notifications. The platform also includes a leaderboard feature, fostering a sense of competition and motivation among users.

DOI: 10.61137/ijsret.vol.11.issue2.319

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A Comprehensive Review of Large Language Models for Code Generation: Challenges and Future Directions

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A Comprehensive Review of Large Language Models for Code Generation: Challenges and Future Directions
Authors:-Madhav Vyas, Dhruvi Dave, Khushaliba Gohil, Professor Mansi Gosai

Abstract-Large Language Models (LLMs) have significantly transformed the field of code generation by automating programming tasks, improving developer productivity, and enabling rapid prototyping. This review explores recent advancements in LLM-based code generation, examining both proprietary (closed-source) and open-source models. Proprietary models, such as GitHub Copilot, OpenAI Codex, and Amazon CodeWhisperer, offer high accuracy and seamless integration with development environments but limit user control. In contrast, open-source models like Code Llama, StarCoder, and PolyCoder provide transparency, customization, and self-hosting capabilities. Despite their progress, LLM-generated code faces challenges, including incorrect outputs, inefficiency, security risks, and difficulty in real-world software development. Benchmark datasets like HumanEval, MBPP, APPS, and CodeXGLUE have been developed to evaluate model performance based on correctness, efficiency, and robustness. Recent studies propose new methodologies, such as reinforcement learning and self-checking systems, to enhance accuracy and usability. Future research should focus on improving evaluation methods, contextual understanding, and security measures to ensure reliable and efficient LLM-generated code.

DOI: 10.61137/ijsret.vol.11.issue2.318

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A Comprehensive Review of Large Language Models for Code Generation: Challenges and Future Directions

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A Comprehensive Review of Large Language Models for Code Generation: Challenges and Future Directions
Authors:-Madhav Vyas, Dhruvi Dave, Khushaliba Gohil, Professor Mansi Gosai

Abstract-Large Language Models (LLMs) have significantly transformed the field of code generation by automating programming tasks, improving developer productivity, and enabling rapid prototyping. This review explores recent advancements in LLM-based code generation, examining both proprietary (closed-source) and open-source models. Proprietary models, such as GitHub Copilot, OpenAI Codex, and Amazon CodeWhisperer, offer high accuracy and seamless integration with development environments but limit user control. In contrast, open-source models like Code Llama, StarCoder, and PolyCoder provide transparency, customization, and self-hosting capabilities. Despite their progress, LLM-generated code faces challenges, including incorrect outputs, inefficiency, security risks, and difficulty in real-world software development. Benchmark datasets like HumanEval, MBPP, APPS, and CodeXGLUE have been developed to evaluate model performance based on correctness, efficiency, and robustness. Recent studies propose new methodologies, such as reinforcement learning and self-checking systems, to enhance accuracy and usability. Future research should focus on improving evaluation methods, contextual understanding, and security measures to ensure reliable and efficient LLM-generated code.

DOI: 10.61137/ijsret.vol.11.issue2.317

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A Hybrid AI Framework for Climate Change Prediction and Mitigation Using Deep Learning and Reinforcement Learning

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A Hybrid AI Framework for Climate Change Prediction and Mitigation Using Deep Learning and Reinforcement Learning

Authors:-Yashraj Misal, Omkar Ovhal, Aqdas Mirza, Mayuresh More, Mrs. Anuja S. Phapale

Abstract-This paper proposes a hybrid artificial intelligence (AI) modular system with reinforcement learning and deep learning to update climate change forecasting and mitigation planning. The system learns from multimodal data in satellite imagery, IoT sensors, and historical data to make accurate, real- time forecasts of key climate variables. Convolutional neural networks (CNN) and long-short-term memory (LSTM) models are employed to learn spatial and temporal patterns, and a Re- inforcement Learning (RL) module provides adaptive mitigation recommendations. Prediction accuracy and emission reduction are enhanced compared to traditional models, as shown in our experimental results. This paper contributes significantly to scalable and intelligent solutions to climate change issues.

DOI: 10.61137/ijsret.vol.11.issue2.316

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Implement YOLO(You Only Look Once)to Detect Objects in Image

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Implement YOLO(You Only Look Once)to Detect Objects in Image
Authors:-Dr. M.V. Subba Reddy, Yendluri.Suchitra, Shaike. Humera Bhanu, Thati. Ganga Maheswari, Pasam.Venkatesh

Abstract-Object recognition plays a crucial role in various real-world applications, including surveillance, autonomous vehicles, and robotics. This paper presents an efficient object detection and recognition system using the You Only Look Once (YOLO) deep learning model. YOLO is a state-of-the-art, real-time object detection framework that processes an entire image in a single forward pass, making it significantly faster than traditional region-based approaches. The proposed system is implemented using YOLOv5, leveraging a Convolutional Neural Network (CNN) for feature extraction and classification. The model is trained on large-scale datasets, such as COCO, to recognize multiple objects with high accuracy. We evaluate the system’s performance based on mean Average Precision (mAP), inference speed, and real-time detection capabilities. Experimental results demonstrate that YOLO achieves robust object recognition with minimal latency, making it suitable for real-time applications.

DOI: 10.61137/ijsret.vol.11.issue2.315

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Seismic Evaluation of Irregular Buildings Using E-TABS Software

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Seismic Evaluation of Irregular Buildings Using E-TABS Software
Authors:-B Sri Kalyan, J. Mahalakshmi, G. Anjali, P. Durga prasad, M. Ashish

Abstract-Since the existence of lace in horizontal space has encouraged people to soar higher, there has been a consistent trend towards the creation of taller structures. However, pushing the vertical limit further increases the hazard factor. We must assess the building for a range of loads to ensure safety. An examination of a building is required to ascertain its seismic resistance because the behavior of a structure is critical during an earthquake. An earthquake may bring a high-rise structure to the ground, a risk that is difficult to predict. Therefore, it is necessary to do a seismic force assessment on different types of buildings. The seismic officious can use the seismic coefficient technique to analyses small and medium-sized buildings up to a height of forty meters. d of analysis that requires less manual computation. The overall shape, size, and geometry of a structure all have a significant role in defining its behavior. since asymmetry is because asymmetrical structures are more likely to exhibit critical behavior during an earthquake than symmetrical ones. of the characteristics of symmetrical, L-shaped, and T-shaped and build RC structures during earthquakes to better understand the variations in seismic loading and behavior that may arise due to form variances. The seismic ETABS software aids in the seismic coefficient study of a ten-story building with three-meter-tall levels and a varied plan shape, including symmetrical, L-shaped, and T-shaped configurations. al inspection of a ten-story structure takes a long time and increases the chance of errors. ETABS can simplify, improve efficiency, and increase the accuracy of a structure’s analysis. The analysis is conducting the analysis by adhering to IS 1893:2002 (Part 1). shaped RC structures have their own response, which includes, among other things, lateral pressures, base shear, storey drift, and storey shear. We use the reaction of the variously shaped buildings to compare the findings.

DOI: 10.61137/ijsret.vol.11.issue2.313

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Design and Analysis of Dormitory Building Structure by Using Structural Analysis Programme Software

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Design and Analysis of Dormitory Building Structure by Using Structural Analysis Programme Software
Authors:-L. Praveen kumar, R. Sai, N. Preethi, A. J. Siva Prakesh, L. Lokesh

Abstract-In general, the building is designed as per codal provisions, which has various constraints while analyzing with dynamic loads. This analysis procedure takes a lot of time and is complex. Therefore, most of the Civil Engineering structures are designed taking the assumption of applied loading to be static. The process of neglecting the dynamic forces may lead to the collapse of the structure as a whole in case of a catastrophe such as an earthquake. Some recent earthquakes have shown the need for dynamic analysis. Nowadays, a lot of research is going on the field of performance-based design such that the structure can withstand earthquake-induced loads. This study confers the need to shift the design practice from force based to performance based for getting actual response. Three different analysis have been performed using empirical formulae and numerical modelling software to estimate the natural period of oscillation of building and the parameters are discussed on which it depends. Research and development in the field of earthquake resistant design has put emphasis on non-linear analysis methods to estimate seismic demands. Nonlinear time history and nonlinear static pushover analysis are the main methods. In this study, pushover analysis is carried out on multi-story reinforced residential concrete building in India.

DOI: 10.61137/ijsret.vol.11.issue2.312

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Seismic Analysis and Design of Multistorey Residential Building by Using ETABS

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Seismic Analysis and Design of Multistorey Residential Building by Using ETABS
Authors:-V Tanuja, D Anusha, Y Devi Pravallika, P Mohan Vinay, B John Bhaskar

Abstract-One of the most frightening and destructive phenomena of a nature is a severe earth quake and it’s terrible after effects. Earthquake strike suddenly, violently and without warning at any time of the day or night. If an earthquake occurs in a populated area, it may cause many deaths and injuries and extensive property damage. Although there are no guarantees of safety during an earthquake, identifying potential hazards ahead of time and advance planning to save lives and significantly reduce injuries and property damage. Hence it is mandatory to do the seismic analysis and design to structural against collapse. It is highly impossible to prevent an earthquake from occurring, but the damage to the buildings can be controlled through proper design and detailing. Designing a structure in such a way that reducing damage during an earthquake makes the structure quite uneconomical, as the earth quake might or might not occur in its life time and is a rare phenomenon. In order to compete in the ever-growing competent market it is very important for a structural engineer to save time. As a sequel to this an attempt is made to analyze and design a multistoried building by using a software package E-Tabs. For analyzing a multi storied building one has to consider all the possible loadings and see that the structure is safe against all possible loading conditions. There are several methods for analysis of different frames like kani’s method, cantilever method, portal method, and Matrix method. The present project deals with the seismic analysis and design of a multi storyed residential building of G+10 RCC Residential Building. The dead load &live loads are applied and the design for beams, columns, footing is obtained-Tabs with its new features surpassed its predecessors, and compotators with its data sharing capabilities with other major software like AutoCAD, and MS Excel. We conclude that E- Tabs is a very powerful tool which can save much time and is very accurate in Designs. Thus it is concluded that E-Tabs package is suitable for the design of a multistoried building.

DOI: 10.61137/ijsret.vol.11.issue2.311

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