Category Archives: Uncategorized

Abstract-Wastewater treatment is a crucial process for managing and purifying water contaminated by domestic, industrial, and commercial activities before it is safely discharged or reused. The treatment process involves multiple stages, including preliminary, primary, secondary, and tertiary treatment, each designed to remove solids, organic matter, harmful microorganisms, and chemical pollutants. 1Advanced techniques such as biological treatment, filtration, and disinfection further enhance water quality. Proper sludge management ensures the safe disposal or reuse of byproducts. Wastewater treatment plays a vital role in protecting public health, preserving ecosystems, and promoting sustainable water use. With growing concerns about water scarcity and pollution, innovative and efficient wastewater treatment technologies are increasingly essential for environmental sustainability and resource conservation.

Abstract-A Multiple Input Multiple output (MIMO)-fed circular slot antenna with wide tunable dual band-notched function and frequency reconfigurable characteristic is designed, and its performance is verified experimentally for high-frequency millimeter-waveband (MWB) communication 6G application s. The dual band-notched function is achieved by using an Ring-shapedresonator inserted the circular ring radiation patch and by etching a parallel stub loaded resonator in the MIMO transmission line. There are a wide range of approaches that have been advanced in the literature for adding reconfiguration to metamaterial devices all the way from the RF through the optical regimes, but some techniques are useful only for certain wavelength bands. A tunable range of almost one octave can be achieved if the R-SRR is loaded in its center with a slot. Furthermore, it has been demonstrated that a reconfigurable device can be achieved if a pair of shunt connected slots are introduced across the slots of the host MIMO. This feature, in conjunction with the tunability of a loaded R-SRR, has been used to achieve a reconfigurable and tunable structure. Finally, in order to demonstrate the potential 6G application of the proposed structure, a MWB antenna design with tunable notch band for Future 6G Communications. The design methodology has been validated through electromagnetic simulations.

Abstract-The gravity model to the blood supply chain is a conceptual framework that seeks to explain and optimize the distribution of blood products within a healthcare system. It is useful when identifying suitable geographical location within arrange. It is also used to find location that minimizes the cost of transporting raw material from the supplier and finished goods to the markets served. This model also assumes that the transportation cost grows linearly with the quantity shipped. All distances are calculated as the geometric distance between two points on the plane. Using a numerical example, the applicability of the proposed network is analyzed.

Abstract-This paper presents a solution to the inefficiencies of traditional manual attendance systems by proposing a face recognition-based attendance system. project aims to enhance the manual attendance process by using a mobile platform and face recognition technology. The design consists of three main modules: inputting attendance information, signing in with facial recognition, and maintaining attendance records. It begins by explaining the principles of face detection and classification, followed by an analysis of how to build a face recognition classifier. The system is then implemented on an Android platform, allowing for practical use in workplaces.

Abstract-Manufacturing green nanoparticles is a safe, secure, and promising technique. In the current study, piper dravidii leaves extract was used to prepare iron oxide nanoparticles (Fe2O3-NPs) and cobalt oxide nanoparticles (CoO-NPs). UV-visible spectroscopy, scanning electron microscopy (SEM), dynamic light scattering (DLS), vibrating sample magnetometer (VSM), and differential scanning calorimetry (DSC) were used to evaluate the produced Fe2O3-NPs and CoO-NPs. The surface plasmon resonance effect was used to validate the synthesis of FeONPs. FeONPs have an average particle size of about 163.5 nm, a polydispersity index of 0.091, and a zeta potential of -13.8 mV, according to dynamic light scattering (DLS). At 176.91°C, differential scanning calorimetry (DSC) revealed an endothermic peak. With a magnetization value of 3.483 emu/g at ambient temperature, iron nanoparticles were shown to have superparamagnetic characteristics by the Vibrating Sample Magnetometer (VSM) examination, suggesting that they might be used in a magnetically targeted medication delivery system. It has been shown that this biosynthetic method is economical, environmentally benign, and has a lot of potential for use in biomedical research.

Abstract-The study focuses on the development and analysis of polyvinyl alcohol (PVA) nanocomposites incorporating silver (Ag) nanoparticles, aimed at improving the performance characteristics of footwear insoles. The thesis abstract presents a comprehensive overview of research dedicated to the formulation and evaluation of polyvinyl alcohol (PVA) nanocomposites infused with silver (Ag) nanoparticles, with the primary objective of enhancing the functional properties of insoles used in footwear. The introduction outlines the significance of integrating nanotechnology into material science, particularly in the context of footwear applications, where comfort and durability are paramount. The materials and methods section details the synthesis of PVA nanocomposites, the incorporation of Ag nanoparticles, and the various analytical techniques employed to assess their performance characteristics. The conclusion summarizes the findings, highlighting the potential of these nanocomposites to significantly improve the quality and longevity of footwear insoles, thereby contributing to advancements in the field of wearable technology.

Abstract-In this paper, a generalized matrix inverse-based unknown input observer (UIO) has been developed for a benchmark 3-DOF helicopter system to manage unknown, time-varying nonlinear dynamics and disturbances. The goal is to ensure the helicopter accurately follows the specified elevation and pitch references. To achieve this, we introduce a novel, simplified UIO to estimate the combined unknown dynamics, which are subsequently incorporated into the control design as a compensator. By introducing an auxiliary system, an invariant manifold is derived and utilized in the UIO design. The full-order observer, constructed using the g-inverse, is expanded and implemented to achieve this purpose. This new estimator requires setting only a single scalar and achieves exponential convergence. Consequently, the proposed control design utilizing the estimator can achieve precise output tracking. This control method is implemented on a benchmark 3-DOF helicopter, and its efficacy is validated through simulations and results.

Abstract-Developing a GenAI-enabled AR platform for museums to offer personalized, interactive experiences, enhancing visitor engagement and educational value, thereby preserving and promoting the heritage and culture of the nation. The system proposes the development of a novel GenAI-enabled Augmented Reality (AR) platform tailored for museums, aimed at delivering personalized and interactive experiences to visitors. Leveraging Unity Vuforia Area Target/Image Target technology, C# API, GenAI, langchain, and the OpenAI API, the platform seeks to revolutionize traditional museum visits by offering enhanced engagement and educational value. While existing solutions such as audio guides, mobile apps, and interactive displays have improved visitor experiences, they often lack interactivity and personalization. The proposed platform addresses these limitations by employing Generative AI to power a virtual assistant that delivers detailed information about exhibits and aids in navigation. Accessible via a cross- platform AR application on web, Android, and iOS devices, the solution promises to create a more immersive and enriching museum experience, ultimately contributing to the preservation and promotion of cultural heritage.

Abstract-In order to provide a structured and interactive learning environment, a Learning Management System (LMS) is essential to modern education and training. This project entails designing and developing a feature-rich LMS using Django for backend development and Tailwind CSS for a responsive and user-friendly interface. The system offers a centralized dashboard for administrators, instructors, and students, integrating essential functionalities like secure user authentication, dynamic course enrollment, and real-time attendance tracking. The platform enhances the learning experience by enabling personalized learning pathways, robust assessment tools, automated certification, and role- based access control for administrators, instructors, and students. The LMS is built with scalability and seamless third- party integrations, including payment gateways and video conferencing solutions, supporting both self-paced and instructor-led learning models. This LMS solution is intended to transform online learning by creating an efficient and captivating digital learning ecosystem. By emphasizing usability, security, and efficiency, this project seeks to improve educational outcomes, automate administrative workflows, and increase learner engagement. Django integration guarantees a stable and scalable backend, while Tailwind CSS offers an aesthetically pleasing and highly responsive design.