International Journal for Research in Science Engineering & Technology

GROWTH OF GAS DOPED COPPER SULPHIDE – IODATE CRYSTALS IN GEL WITH ITS COMPARATIVE TOPOGRAPHICAL AND MORPHOLOGICAL PARAMETERS

2025-04-09T11:34:08+00:00

The gas doped copper sulphide crystals and copper iodate are grown using single diffusion technique of crystal growth. Effect of supernatants, concentration programming explained and experimentally studied. This report presents the morphological and topographical characteristics of two types of copper compounds Copper Sulphide (CuS) and Copper Iodate Cu(IO₃)₂. The study compares grown crystals of both compounds with their respective ideal crystalline

Role of Responsive Design in Web Development

2025-04-15T08:08:06+00:00

The website must be compatible with a variety of devices, screen sizes and resolutions today. Responsive Web Design ensures a smooth user experience by dynamically adjusting layout, content and functionality. This article explains the most important methods, such as flexible networking, fluid images, media queries, and more, the context of device tag design, and how to design device tags. We will also discuss the impact on SEO and mobile movements. With industry case studies and best practices, this study highlights the benefits and pitfalls of designing the strengths of responses, highlighting the need for compatibility, cost savings and effective web solutions.

Glaucoma Detection using Hybrid SVM+ANN Classification

2025-04-17T13:16:44+00:00

Glaucomaisaneurologicaldisease and one of the mostwell-knowncausesofvisionloss, according to the abstract. Be causenervedegenerationisanirreversible process, early detection of the conditionisessential to preventing permanent visual loss. Glaucoma is mostly caused by elevated intraocular pressure, and if it is not identified and treated promptly, it can damage vision. Glaucoma is a vision condition that gradually become sworse over time and affects theeye's optic nerve. It results from pressure accumulation inside the eye. Glaucoma frequently runs in families and may not manifest itself since later in life. One of the most crucial and difficult parts is the identification of glaucoma to us progression. Inthisstudy, we presented aunique hybrid algorithm for glaucoma diagnos is. In this study, we provide anovelhybrid approach for classification utilising Artificial Neural Networks (ANN) and supported vector machines (SVM). For segmentation, we used HMM with Cuckoo search optimization (CSO), and for classification, we employe dahybrid of SVM and ANN. When compared to other approaches already in use, the results demonstrate strong performance.

“(FPV) Night Patrolling, Quad copter drone”

2025-04-20T04:39:38+00:00

The night-patrolling quadcopter drone is a groundbreaking innovation in the real meaning of security and surveillance, specifically engineered to operate efficiently during nighttime hours when visibility is significantly reduced. Equipped with advanced sensors, high-resolution night-vision cameras, and thermal imaging technology, this drone effectively monitors expansive areas, detects unusual activities, and relays real-time data to security personnel. A key feature of this drone is its integration of object detection capabilities using TensorFlow, a powerful machine learning framework. This enables the drone to identify and classify objects or individuals in real-time, enhancing its ability to recognize potential threats and respond promptly. Its autonomous flight capabilities, bolstered by sophisticated obstacle avoidance systems, ensure seamless navigation through complex environments, minimizing the risks associated with manual night patrols and reducing the reliance on human intervention. This project is dedicated to the development and deployment of a robust and reliable night-patrolling drone that can substantially enhance safety and security across various settings including residential neighborhoods, industrial facilities, and public spaces prone to nocturnal security challenges. The drone's silent operation and discreet presence make it an ideal tool for deterring crime, preventing unauthorized access, and responding promptly to emergencies. By integrating cutting-edge technologies such as machine learning algorithms and artificial intelligence, the drone can recognize patterns, identify potential threats autonomously, and adapt to changing environmental conditions, thereby elevating the standard of traditional security measures.

In summary, this project aims to demonstrate the transformative potential of unmanned aerial technology in enhancing nighttime security operations. By harnessing innovative design and state-of-the-art technology, the night-patrolling quadcopter drone represents a significant step forward in proactive surveillance strategies. Its successful deployment could revolutionize security protocols, offering a more effective, efficient, and safe method of monitoring and protecting valuable assets and communities during the night. This endeavor not only contributes to technological advancement but also sets a precedent for future explorations into autonomous security solutions.