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Pictorial depiction on controlling crowd in smart conurbations using Internet of Things with switching algorithms.
Manoharan, Hariprasath; Khalaf, Osamah Ibrahim; Algburi, Sameer; Hamam, Habib.
Afiliación
  • Manoharan H; Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamallee, Chennai, 600 123, Tamil Nadu, India. hari13prasath@gmail.com.
  • Khalaf OI; Department of Solar, Al-Nahrain Research Center for Renewable Energy, Al-Nahrain University, Jadriya, Baghdad, Iraq.
  • Algburi S; Al-Kitab University, Kirkuk, 36015, Iraq.
  • Hamam H; Université de Moncton, Moncton, NB, E1A3E9, Canada.
Sci Rep ; 14(1): 12650, 2024 Jun 02.
Article en En | MEDLINE | ID: mdl-38825625
ABSTRACT
The proliferation of smart conurbations entails an efficient system design for managing all the crowds in public places. Multitude controlling procedures are carried out for controlling compact areas where more number of peoples is present at several groups. Therefore for controlling purpose the proposed method aims to design a pictorial representation using Internet of Things (IoT). The process is carried out by taking images and then organizing it using switching techniques in the presence of square boxes where entire populace is identified on real time experimentations. For processing and controlling the occurrence a separate architecture is designed with analytical equivalences where all data set is stored in cloud platform. Further the incorporation of system model is carried out using Switching Based Algorithm (SBA) which adds more number of columns even for high population cases. In order to verify the effectiveness of proposed model five scenarios are considered with performance evaluation metrics for SBA and all the test results provides best optimal results. Moreover the projected model is improved with an average percentage of 83 as compared to existing models.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido