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Ku-Band Microstrip Antenna Array: A Design Approach for Satellite Communication

This work presents the design and simulation of a microstrip single patch element and two distinct array antenna configurations intended for Ku-band applications, specifically operating at a frequency of 17.16 GHz. The antennas are designed using an FR-4 substrate material with a dielectric constant of 4.3 and a substrate height of 13 mm. Two different two-element array configurations are developed to evaluate the impact of array geometry on antenna performance. The designs are modeled and simulated using CST Microwave Studio. The simulation results demonstrate that both directivity and gain improve significantly as the number of patch elements increases in the array structure. Comparative analysis between the single-element and array configurations reveals that array antennas offer enhanced radiation characteristics, making them more suitable for high-frequency satellite communication systems. This study highlights the importance of array design in achieving better antenna performance, especially in applications requiring high gain and narrow beamwidth.

Published by: Lavanya Ravi, Dr. G . Srinivasa Rao, Bachina Sri Divya, Katuru Meghana, Meesala Ramana Jyothi

Author: Lavanya Ravi

Paper ID: V11I2-1378

Paper Status: published

Published: April 27, 2025

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Research Paper

Using New Age Technology for Customer Gratification: A Review of Contemporary AI Use

Technological improvements upgraded many sectors, and among them, marketing strategies have been shaped significantly. Growing competition among brands has vitalised the importance of customer satisfaction in gaining loyalty and retention. Artificial Intelligence is incorporated by brands, allowing for improvement in their services that helps to improve the customer experience. Brands employ AI to predict precise demand and enhance customer experience using chatbots. Inventory management using AI models reduced stockout occurrence and overstocking. Product availability is essential for customer retention, and when customers learn that their requirements will be met, they consequently prefer to re-buy from the brand. The human intelligence given to AI using machine learning and natural language processing allows chatbots to carry out multiple tasks for a brand. Chatbots interact with customers, understand queries, and provide answers, promising security and privacy of data. AI has helped to enhance and upgrade the service level of brands, alongside giving a competitive edge. Marketing was a concept of selling products and earning profit that evolved to focus more on customer satisfaction, their needs, and integrating innovation into the business. It is now at the place to direct customer decision-making in favour of the business by showing its presence in the form of suggestions and advertisements on websites and social media.

Published by: Aashi Vishnoi

Author: Aashi Vishnoi

Paper ID: V11I2-1336

Paper Status: published

Published: April 27, 2025

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Research Paper

Health Monitoring and the Tracking Systems for Soldiers Using IoT

Soldier safety is a primary concern in the modern world since military tactics play a significant role in national security. Hazardous gases, snow slides, severe weather, and unexpected health problems like heart difficulties or body temperature fluctuations are just a few of the many risks that soldiers encounter in combat zones. The inability to efficiently communicate with the control room in an emergency is one of the main obstacles. To track the soldier's precise location and critical health data, this idea suggests a real-time monitoring system. By doing this, quick steps may be taken to protect them, enhance communication, and speed up reaction times in dire circumstances—all of which can eventually save lives on the battlefield.

Published by: Sinchana K, Lokeshwari H S, Anvitha David, Harshitha B J, Amulya D P

Author: Sinchana K

Paper ID: V11I2-1370

Paper Status: published

Published: April 25, 2025

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Research Paper

Plant Irrigation Water Sprinkler Robot for Agriculture

Efficient irrigation is a key factor in modern agriculture, where the goal is to boost crop yields while preserving water resources. This project introduces an automated Plant Irrigation Water Sprinkler Robot designed to streamline the irrigation process using smart technology. The system is built around a microcontroller and equipped with soil moisture sensors that constantly monitor moisture levels in the soil. Based on the sensor data, the robot determines when irrigation is needed and activates the sprinkler system accordingly. This ensures that water is applied only when necessary, reducing waste and promoting healthy plant growth. By combining automation and intelligent sensing, the system offers a low-cost, energy-efficient solution for precision farming. It supports sustainable agriculture by minimizing water usage and labour requirements while maximizing productivity. The robot not only improves irrigation accuracy but also helps in conserving water, a critical need in many agricultural regions. This innovative approach to irrigation highlights the role of technology in advancing farming practices. The use of real-time data and automated control makes this system a valuable tool for enhancing crop management, supporting food security, and promoting environmentally responsible agriculture.

Published by: Manjunath B H, Anika Advika Gowda, Anusha T S, Ambika K

Author: Manjunath B H

Paper ID: V11I2-1369

Paper Status: published

Published: April 25, 2025

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Research Paper

Synthesis, Structural and Optical Characterization of Pure And Cobalt Doped Zinc Oxide Nanoparticles By Sol-Gel Method

This study uses the sol-gel method to synthesize and characterize pure zinc oxide (ZnO) and cobalt-doped zinc oxide (Co-ZnO) nanoparticles. ZnO, a wide-bandgap semiconductor, is known for its optical transparency, high exciton binding energy, and antimicrobial properties, making it valuable for various applications in optoelectronics, sensors, and biomedical fields. Incorporating cobalt as a dopant modifies ZnO's structural and optical characteristics, enhancing its functionality in photocatalysis, spintronics, and magnetic storage devices. X-ray diffraction (XRD) analysis confirmed the hexagonal wurtzite structure for ZnO and Co-ZnO. However, Co doping led to decreased crystallite size, increased strain, and higher dislocation density, indicating lattice distortions. UV-Vis spectroscopy showed a shift in the absorption edge for Co-ZnO, suggesting bandgap narrowing, improving its visible-light absorption capabilities. This modification enhances the photocatalytic efficiency of Co-ZnO, making it highly suitable for environmental remediation and solar energy applications. The findings demonstrate that while pure ZnO is preferable for UV-blocking, optoelectronic applications, and sensors, Co-ZnO exhibits superior performance in photocatalysis and magnetic-based technologies. The study concludes that cobalt doping enhances ZnO’s properties, expanding its potential applications in energy, environmental, and electronic industries.

Published by: Dhivya R, Poonguzhali V, Sahana Fathima A, Abinaya B

Author: Dhivya R

Paper ID: V11I2-1159

Paper Status: published

Published: April 25, 2025

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Research Paper

Heart Disease Prediction

Heart disease remains one of the leading causes of mortality globally. new diagnosis gets importantly better endurance rates and cuts discourse costs. In the research, we explore Machine learning techniques to predict heart disease based on clinical Information. exploitation associate in nursing open-source dataset we apply and value respective sorting Procedures, including logistical regression, decision trees, support vector machines (SVM). Our results demonstrate that machine learning can effectively identify potential heart disease cases, providing a promising tool for healthcare Uses.

Published by: Aniruddha Ambre

Author: Aniruddha Ambre

Paper ID: V11I2-1364

Paper Status: published

Published: April 24, 2025

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