Maitreyee Dutta

Un algorithme efficace de reconnaissance de l'iris a t d velopp sur la base du principe de J. Daugman. L'algorithme de J. Daugman localise d'abord les limites pupillaires et limbiques de l'iris l'aide d'un op rateur int gro-diff rentiel qui trouve le cercle dans l'image o l'intensit change le plus rapidement par rapport aux variations du rayon. Les param tres cl s sont les suivants: - *l'algorithme de Daugman le plus efficace et le plus pr cis *la technique de pr traitement *les points forts de la mise en oeuvre de l'algorithme bas sur J. Daugman sur des images de l'iris *les r sultats de la simulation montrent les r sultats des diff rentes simulations effectu es sur des images de l'iris *les conclusions et les perspectives d'avenir mettent en vidence les r sultats des travaux de recherche.

This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced publichealth and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.