Category Archives: Uncategorized

Abstract-Transport management is a critical component of supply chain logistics, influencing cost efficiency, operational effectiveness, and overall business performance. This study explores the role of transport management in optimizing supply chains by examining the key challenges, technological advancements, and sustainability initiatives Key findings indicate that the integration of digital tools, such as transport management systems (TMS) and artificial intelligence (AI), enhances route planning, cost optimization, and supply chain visibility. Additionally, sustainable transport practices, including alternative fuel sources and electric vehicles, contribute to cost savings and environmental benefits. The study concludes that businesses must adopt modern transport strategies to remain competitive and resilient in a rapidly evolving logistics landscape.

Abstract-We have Developed a Pneumatic Sheet Bending Machine, it is a cost-effective, efficient, and automated solution for bending thin metal sheets using pneumatic power, addressing the challenges of laborintensive manual methods and expensive hydraulic systems. It utilizes a pneumatic cylinder that applies controlled pressure to bend metal sheets with precision, speed, and consistency, reducing manual effort and the need for multiple operators. The machine is designed to be compact, portable, and easy to operate, making it ideal for small to medium-scale workshops, metal fabrication units, and the automotive industry. Its high-speed operation enhances productivity while maintaining accuracy, making it a valuable tool for producing brackets, enclosures, and sheet metal components. However, the machine is limited to bending thin sheets and requires an air compressor, which may not always be available in smaller setups. Future advancements could improve its capacity for thicker sheets, integrate automated controls for enhanced precision, and utilize advanced pneumatic technologies for greater efficiency. Overall, this innovation provides a practical and scalable alternative to traditional bending methods, significantly improving productivity, reducing labor costs, and making metal fabrication more accessible to small industries.

Abstract-Image inpainting is a crucial task in computer vision that focuses on reconstructing missing or corrupted parts of an image while maintaining structural consistency and visual realism. Traditional inpainting methods, such as diffusion-based and exemplar-based techniques, often struggle to restore fine textures and complex structures, leading to blurry and unrealistic results. The advent of Generative Adversarial Networks (GANs) has significantly enhanced image inpainting by learning to generate plausible image content. However, conventional GAN-based models emphasize global image coherence while neglecting finer local details, causing inconsistencies in high-texture regions. To overcome these limitations, PatchGAN-based inpainting evaluates image realism at the patch level rather than analyzing the entire image as a whole. This technique employs multi-scale discriminators that ensure improved texture synthesis and structural continuity at different spatial resolutions. Experimental studies reveal that PatchGAN-based models outperform conventional GAN-based methods in terms of perceptual quality, Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index (SSIM), producing sharper and more realistic image restorations. This review explores the advancements in PatchGAN-based inpainting, highlighting its benefits, architectural components, and future research directions to further enhance image reconstruction quality.

Abstract-The rapid growth of e-commerce has brought convenience to consumers but has also led to increasing cyber threats and data breaches. Traditional security measures, primarily reliant on centralized identity management, pose critical vulnerabilities that can be exploited by malicious actors. To address these concerns, this research proposes an advanced security model utilizing Zero-Trust Architecture (ZTA) combined with Decentralized Identity (DID) within a MERN stack-based e-commerce platform. This approach ensures that every access request is verified, significantly reducing unauthorized access risks. Furthermore, blockchain-backed DID solutions offer a tamper-proof identity verification system, empowering users with greater control over their credentials while eliminating the dependency on third-party identity providers. This paper explores the implementation, benefits, and real-world applicability of this security model, highlighting its ability to enhance trust and improve cybersecurity in modern e-commerce platforms.

Abstract-Promptify represents a novel approach to AI-driven content creation by offering a centralized online mar- ketplace for buying and selling creative and technical prompts. The platform bridges the gap between prompt creators and consumers, streamlining the process of ac- cessing high-quality prompts across diverse categories such as creative writing, technical tasks, and artistic projects. Existing platforms lack centralized resources, quality moderation, and secure payment mechanisms, leaving users with fragmented solutions. Promptify addresses these challenges by providing secure trans- actions via Stripe, user shop management systems, and community engagement features. The platform uses modern technologies like Next.js, MongoDB, and Prisma ORM to ensure scalability, security, and perfor- mance optimization. The paper details Promptify’s ar- chitecture, implementation, and testing methodologies, emphasizing its potential to democratize access to qual- ity prompt resources. Future work explores AI-based prompt recommendations, blockchain-based ownership verification, and multilingual support.

Abstract-Internal combustion engines produce exhaust gases at high temperature and pressures. As these hot gases passes through the exhaust valve ,temperatures of the valve ,valve seat, and the stem increase .To avoid any damage to the exhaust valve assembly , heat is transferred from the exhaust valve from different parts ,Especially the valve seat insert during the opening and closing cycle as they come into contact each other . In this article, A Finite-Element method is used for modeling the transient thermal anaiysis of an exhaust valve .The temperature distribution and resultant thermal stresses at each opening and closing time are obtained. Detailed analyses are performed to estimate the boundary conditions of an internal combustion engine. The modeling includes exhaust valve, seat, guide, and spring. The analysis continues until a steady state condition is obtained. In this study ANSYS is employed for modeling and analysis of the exhaust valve. A Methodology is developed for transient thermal analysis of the exhaust valve.

Abstract-A secure bootloader plays a critical role in ensuring the integrity and authenticity of firmware during system startup. Traditional bootloaders lack robust security mechanisms, making them vulnerable to tampering and malware injections. Public Key Cryptography (PKC) provides a strong foundation for secure bootloaders by enabling digital signatures and authentication mechanisms to verify firmware integrity before execution. This research explores the design and implementation of a secure bootloader using Public Key Cryptography to prevent unauthorized modifications and ensure a trusted execution environment. The proposed bootloader employs asymmetric encryption to verify signed firmware images using RSA or ECC (Elliptic Curve Cryptography). Additionally, hash-based verification techniques such as SHA-256 are used to ensure firmware integrity. Experimental evaluations demonstrate that the proposed bootloader effectively prevents unauthorized code execution, ensuring a secure boot process with minimal performance overhead. This paper discusses the system architecture, cryptographic implementation, evaluation metrics, and future research directions for enhancing bootloader security.

Abstract-Micro turbines are becoming widely used for combined power generation and heat applications. Their size varies from small scale units like models crafts to heavy supply like power supply to hundreds of households. Micro turbines have many advantages over piston generators such as low emissions less moving parts, accepts commercial fuels. Gas turbine cycle and operation of micro turbine was studied and reported. Brief description on CAD software and CATIA studied and reported. Different parts (Inlet. Storage, Nozzle, Rotor, coupling, outlet, clip, housing) of turbine are designed with the help of CATIA (Computer Aided Three Dimensional Interactive Analysis) software. Then they were assembled to a single unit and coupled to a generator to produce power. The turbine is of Axial input and axial output type.

Abstract-The wheel hub and spindle are critical components in the suspension and steering system of a Formula Student car, directly influencing its vehicle dynamics, handling, and safety. This project focuses on the design, analysis, and optimization of the wheel hub and spindle assembly, aiming to ensure structural integrity, reduce weight, and improve overall performance under dynamic loading conditions. Using SolidWorks, the wheel hub and spindle were meticulously designed to meet the requirements of a Formula Student car, emphasizing lightweight construction while maintaining sufficient strength. The design process involved careful consideration of materials, geometry, and manufacturing feasibility to create a durable and efficient assembly. The geometry was optimized to reduce unsprung mass, which is crucial for enhancing vehicle stability and handling. The designed components were analyzed using ANSYS Workbench to simulate real-world conditions and assess their structural performance. Static and dynamic load analyses were performed to evaluate stress distribution, deformation, and factor of safety under various scenarios, such as cornering, braking, and acceleration. The results of the analysis demonstrate that the design meets the functional and safety criteria for a Formula Student car, ensuring reliability during competitive racing conditions. This study provides valuable insights into the integration of design and analysis tools for optimizing vehicle dynamics, contributing to the advancement of motorsport engineering.

Abstract-Optimizing the orientation of a part in the Material Extrusion (MEX) process is crucial for reducing print time, energy consumption, and material waste while maintaining part quality. This study focuses on optimizing the printing orientation and layer height using the Taguchi method in Minitab to achieve an efficient and sustainable additive manufacturing process. The research employs the Taguchi Design of Experiments (DOE) approach to systematically evaluate the effects of different orientation angles and layer heights on print time and energy consumption. Experiments were conducted by printing samples at various orientations and layer thicknesses, and the response variables—total printing time and energy usage—were recorded. Signal-to-noise (S/N) ratios were analyzed in Minitab to determine the optimal parameter settings that minimize both print time and energy usage. The results indicate that the print orientation significantly affects deposition path efficiency, while layer height plays a key role in determining the number of layers and total energy required. The optimized orientation and layer height configuration led to a substantial reduction in energy consumption without compromising part accuracy and mechanical integrity. This study demonstrates that using the Taguchi method in Minitab for orientation optimization provides a structured and statistical approach to improving additive manufacturing efficiency. The findings can be applied to enhance the sustainability of FDM-based 3D printing, reducing material wastage and operational costs while improving process efficiency.