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12-10-2020 |
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HINDUISM |
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1-9312592002 |
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06-09-2004 |
| Teaching | Research | Industry |
|---|---|---|
| 252 | 48 | 27 |
| Date | Title | Journal | DOI | Link |
|---|---|---|---|---|
| 24-03-2024 | MEMS based Wearable Smart-Glove and its Application of Gesture Detection and Sign Language Classification for Vocally Impaired with Integrated Health Monitoring System | International Journal of Intelligent Systems and Applications in Engineering (IJISAE) | DOI | View |
| 14-11-2023 | ECA-MURE Algorithm and CRB Analysis for High-Precision DOA Estimation in Coprime Sensor Arrays | IEEE Sensors Letters | DOI | View |
| Date | Title | Conference | DOI | Link |
|---|---|---|---|---|
| 23-02-2026 | Digital Simulation and Modelling for Forensic Analysis: A Case Study on Footprint Impression | National Conference on Advanced Instrumentation for Nuclear Physics, High-Energy Physics, and Medical Imaging | DOI | View |
| 29-05-2025 | A Reverse Logistics Model Based on Blockchain for The Construction Industry | International Conference on Mathematical Sciences : Emerging Applications in Engineering & Environmental Sustainability (ICMS 2025) | DOI | View |
| 10-01-2025 | Blockchain-Enabled Internet of Things for Efficient Construction and Demolition Waste Management: A Framework for Industry 5.0 | 7th Regional Science & Technology Congress, 2024-25 | DOI | View |
| 10-01-2025 | AI-Enabled NPK Sensor System for Precision Floriculture | 7th Regional Science & Technology Congress, 2024-25 | DOI | View |
| Date | Title | Book Title | Editor | ISBN | DOI | Link |
|---|---|---|---|---|---|---|
| 06-01-2011 | Application of Reverse Logistics Information System in Retail Supply Chain: A Model Based Approach | Computing, Business Applications and Legal Issues | by Rashmi Aggarwal (Author), Reema Khurana (Author), Narayan C Debnath (Author) | 978-81-7446-936-6 | DOI | View |
| Committee Name | Start Date | End Date |
|---|---|---|
| DAC 2026-2027 | 28-05-2026 | 30-06-2027 |
| FDP 2025 - ORGANISING COMMITTEE | 04-08-2025 | 08-08-2025 |
| Title | Patent Number | Patent Office | Date | Status | Country | Application No. | Abstract | Expiration Date |
|---|---|---|---|---|---|---|---|---|
| AI-Driven Digital Beamforming Antenna Apparatus | 6494565 | Designs and Trade Marks Intellectual Property Office, UK, UK.GOV | 09-02-2026 | Design Registered, Granted | United Kingdom | 6494565 | 22-12-2030 | |
| AI Enabled Computing Device for Signal Processing in 6G network | 6452141 | Designs and Trade Marks Intellectual Property Office, UK, UK.GOV | 09-07-2025 | Design Registered | United Kingdom | 6452141 | This design presents a compact, modular computing device optimized for intelligent signal processing tasks in 6G communication environments. The device integrates AI-driven computational units with advanced telecommunication interfaces to support real-time processing of high-bandwidth signals at the network edge. Housed in a streamlined form factor, the design facilitates efficient data acquisition, beamforming, channel estimation, and spatial signal processing across a wide range of 6G applications. It supports various hardware accelerators (e.g., FPGA, AI chips) and is equipped with configurable input/output ports for seamless integration with antenna arrays and smart network infrastructure. The exterior layout incorporates structural provisions for thermal regulation, modular stacking, and embedded status indicators, making it suitable for edge deployments in vehicular systems, drones, smart cities, and IoT nodes. The innovative combination of AI capability, signal processing efficiency, and practical hardware design positions this computing module as a foundational element for future 6G platforms. | 06-07-2030 |
| A printing system for improving the precision and quality of printed products. | B41J 2/01 | Bundesrepublik Deutschland (Federal Republic of Germany) | 13-08-2024 | IP right granted | Federal Republic of Germany | 20 2024 104 244.1 | This patent application presents an advanced method for enhancing precision and quality in printing technology through the use of a modified co-prime sensor array configuration combined with a novel variable step size Normalized Least Mean Squares (NLMS) algorithm. Traditional printing systems face challenges in achieving precise alignment, high-resolution scanning, and effective noise reduction. The proposed method addresses these challenges by leveraging the unique arrangement of modified co-prime sensors, offering enhanced spatial resolution and noise robustness. By integrating the variable step size NLMS algorithm, the proposed approach significantly improves the accuracy and efficiency of critical printing processes, making it highly suitable for applications in high-resolution printing, advanced scanning, and quality control in both 2D and 3D printing systems. | 01-01-0001 |