MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025562 A) filed by R. Sreedha; T. Prathiba; S. Swetha; V. Anusha; D. Subramanyam; and P. Nikhila, Hyderabad, Telangana, on March 4, for 'city hotspot identification using smart cyber-physical social system.'
Inventor(s) include R. Sreedha; T. Prathiba; S. Swetha; V. Anusha; D. Subramanyam; and P. Nikhila.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A smart cyber-physical-social system for city hotspot identification is disclosed. The system utilizes socio-economic data, dimensionality reduction, graph modeling, and social network analysis to accurately identify and rank urban hotspots while preserving privacy and scalability. The present invention relates to smart city analytics and cyber-physical-social systems, and more particularly to a method and system for identifying urban hotspots using integrated socio-economic data, graph theory, and social network analysis. Urban hotspot identification is essential for smart city planning, telecommunication optimization, and public infrastructure management. Existing approaches rely heavily on sensitive telecom data and basic network metrics, leading to privacy concerns, scalability issues, and limited accuracy. 1. To provide a privacy-aware system for city hotspot identification. 2. To integrate cyber, physical, and social data for improved accuracy. 3. To use advanced social network and behavioral similarity metrics. 4. To enable scalable and robust hotspot detection. The invention proposes a Smart Cyber-Physical-Social System (CPSS) comprising a data collection layer, data processing layer, and data interpretation layer. Socio-economic data is processed using PCA, graph construction, and social network analysis techniques to identify and rank urban hotspots."
Disclaimer: Curated by HT Syndication.
