Arun Mozhi Devan Panneer Selvam (71 results)

Condition: New. In.

Condition: New. In.

Paperback. Condition: new. Paperback. Ce livre fournit une introduction au traitement d'images a l'aide du logiciel Matlab, aux differents types de biometrie, a leurs avantages et a leurs inconvenients. Ce livre donne egalement un apercu des etapes impliquees dans la reconnaissance des visages a l'aide de Matlab pour la prise de presence dans les ecoles, les bureaux, les colleges, etc. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Paperback. Condition: new. Paperback. Dieses Buch bietet eine Einfuehrung in die Bildverarbeitung mit Matlab-Software, die verschiedenen Arten der Biometrie, ihre Vor- und Nachteile. Dieses Buch bietet auch einen UEberblick ueber die Schritte, die in der Gesichtserkennung mit Matlab fuer die Teilnahme an Schulen, Bueros, Hochschulen, etc. beteiligt sind. In diesem Buch die Echtzeit-Ergebnisse, die waehrend der These Vorlage auch fuer das klare Verstaendnis des Konzepts Umsetzung genommen haben. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: New.

Condition: New. In.

Condition: New. In.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 164 | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condition: Neu. Neuware -This book provides an introduction to image processing using Matlab software, the different types of biometrics, their advantages, and disadvantages. This book also provides an overview the steps involved in face recognition using the Matlab for taking attendance in schools, offices, colleges, etc.In this book the real time results that have taken during the thesis submission also included for the clear understanding of the concept implementation.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch.

Condition: New.

Paperback. Condition: new. Paperback. Este livro fornece uma introducao ao processamento de imagem utilizando o software Matlab, os diferentes tipos de biometria, as suas vantagens e desvantagens. Este livro tambem fornece uma visao geral das etapas envolvidas no reconhecimento facial usando o Matlab para a tomada de presencas em escolas, escritorios, faculdades, etc. Neste livro, os resultados em tempo real que foram tomadas durante a apresentacao da tese tambem incluidos para a compreensao clara da implementacao do conceito. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. Questo libro fornisce un'introduzione all'elaborazione delle immagini utilizzando il software Matlab, i diversi tipi di biometria, i loro vantaggi e svantaggi. In questo libro sono inclusi anche i risultati in tempo reale ottenuti durante la presentazione della tesi, per una chiara comprensione dell'implementazione del concetto. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Condition: New.

Condition: New.

Condition: New.

paperback. Condition: New. New. book.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant.In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant.In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Condition: New. pp. 164.

Buch. Condition: Neu. Neuware -This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant.In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.

Hardcover. Condition: Brand New. 164 pages. 9.25x6.10x0.63 inches. In Stock.

Hardcover. Condition: new. Hardcover. This book presents the study to design, develop, and implement improved PI control techniques using dead-time compensation, structure enhancements, learning functions and fractional ordering parameters. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Furthermore, the proposed fractional-order control strategies and filters are simulated over first- and second-order benchmark process models and further validated using the real-time experimentation of the pilot pressure process plant. In this book, five chapters are structured with a proper sequential flow of details to provide a better understanding for the readers. A general introduction to the controllers, filters and optimization techniques is presented in Chapter 1. Reviews of the PI controllers family and their modifications are shown in the initial part of Chapter 2, followed by the development of the proposed fractional-order predictive PI (FOPPI) controller with dead-time compensation ability. In the first part of chapter 3, a review of the PI based iterative learning controllers, modified structures of the ILC and their modifications are presented. Then, the design of the proposed hybrid iterative learning controller-based fractional-order predictive PI controller based on the current cyclic feedback structure is presented. Lastly, the results and discussion of the proposed controller on benchmark process models and the real-time experimentation of the pilot pressure process plant are given. Chapter 4 presents the development of the proposed filtering techniques and their performance comparison with the conventional methods. Chapter 5 proposes the improvement of the existing sine cosine algorithm (SCA) and arithmetic optimization algorithm (AOA) to form a novel arithmetic-trigonometric optimization algorithm (ATOA) to accelerate the rate of convergence in lesser iterations with mitigation towards getting caught in the same local position. The performance analysis of the optimization algorithm will be carried out on benchmark test functions and the real-time pressure process plant. Two fractional-order PI controllers are proposed and designed: fractional-order predictive PI and hybrid iterative learning based fractional-order predictive PI controller. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Auf Gesichtserkennung basierendes intelligentes Anwesenheitssystem | Arun Mozhi Devan Panneer Selvam | Taschenbuch | 60 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207714605 | Verantwortliche Person für die EU: Verlag Unser Wissen, Brivibas Gatve 197, 1039 RIGA, LITAUEN, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.