Biometric Data in Smart Cities

Biometric Data in Smart Cities

Author: Stepan Bilan

Publisher: CRC Press

ISBN: 9781000412420

Category: Technology & Engineering

Page: 228

View: 469

In modern conditions of the development of intelligent systems to solve the problems of smart cities, more and more attention is paid to the construction of distributed intelligent systems, which, based on a network of sensors and specialized calculators, help residents and visitors of the city in real time to solve a whole range of complex problems that arise in an urban environment. In a smart city, much attention is paid to the processing of biometric information that comes from biometric sensors distributed throughout the city. Such biometric systems are multimodal and allow you to control the general condition of a person, and also help a person to move around the city and predict events within the city. This book describes methods for processing biometric information in a smart city environment. The theoretical foundations of building a biometric multisensor network, which allows you to create a unified urban biometric community, are considered. The theoretical foundations of the parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering are presented. On the basis of these technologies, methods of biometric identification by gait parameters and the geometric shape of the auricle are described, which are effectively used in a smart city. A method for tracking dynamic changes in the state of a smart city in real time is considered. Models of behavior of colonies of living organisms, their formation, movement and interaction are described on the basis of the technology of cellular automata with active cells. Models of behavior of active cells in meeting with unwanted cells and models of combining and destruction of active cell colonies are also described. This book is intended for undergraduate, graduate students and specialists working and conducting research in the field of biometric information processing, as well as in the development and construction of distributed intelligent systems.
Biometric Data in Smart Cities
Language: en
Pages: 228
Authors: Stepan Bilan, Mykola Bilan, Ruslan Motornyuk, Serhii Yuzhakov
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-19 - Publisher: CRC Press

In modern conditions of the development of intelligent systems to solve the problems of smart cities, more and more attention is paid to the construction of distributed intelligent systems, which, based on a network of sensors and specialized calculators, help residents and visitors of the city in real time to
Deep Biometrics
Language: en
Pages: 320
Authors: Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger
Categories: Technology & Engineering
Type: BOOK - Published: 2020-01-28 - Publisher: Springer Nature

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on.
Handbook of Green Engineering Technologies for Sustainable Smart Cities
Language: en
Pages: 340
Authors: K. Saravanan, G. Sakthinathan
Categories: Technology & Engineering
Type: BOOK - Published: 2021-07-28 - Publisher: CRC Press

Handbook of Green Engineering Technologies for Sustainable Smart Cities focuses on the complete exploration and presentation of green smart city applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines. The book discusses and explores green engineering technologies for smart cities and covers
Deep Biometrics
Language: en
Pages: 322
Authors: K. Saravanan, G. Sakthinathan
Categories: Biometric identification
Type: BOOK - Published: 2020 - Publisher:

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on.
Deep Biometrics
Language: en
Pages: 320
Authors: Richard Jiang, Chang-Tsun Li, Danny Crookes, Weizhi Meng, Christophe Rosenberger
Categories: Technology & Engineering
Type: BOOK - Published: 2020-01-29 - Publisher: Springer

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it “Deep Biometrics”. The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on.