Selected Topics in Photonics

Engineering Technology

RFID Technologies for Internet of Things (Wireless Networks) by Min Chen
Emerging Technologies for Developing Countries: First International EAI Conference, AFRICATEK 2017, Marrakech, Morocco, March 27-28, 2017 Proceedings By Fatna Belqasmi
Selected Topics in Photonics By Asima Pradhan
Mastering OpenCV 3 – Second Edition by Daniel Lélis Baggio
Artificial Intelligence (Cutting-Edge Science and Technology) by Kathryn Hulick

RFID Technologies for Internet of Things (Wireless Networks) by Min Chen

English | 13 Nov. 2016 | ISBN: 3319473549 | 104 Pages | EPUB | 1.22 MB

This book introduces applications of RFID on the Internet of things, under the emerging technologies for tag search, anonymous RFID authentication, and identification of networked tags. A new technique called filtering vector (a compact data structure that encodes tag IDs) is proposed to enable tag filtration, meeting the stringent delay requirements for real-world applications. Based on filtering vectors, a novel iterative tag search protocol is designed, which progressively improves the accuracy of search result and reduces the time of each iteration by using the information learned from the previous iterations. Moreover, the protocol is extended to work under noisy channel.
The authors also make a fundamental shift from the traditional design paradigm for anonymous RFID authentication by following an asymmetry design principle that pushes most complexity to the readers while leaving the tags as simple as possible. A novel technique is developed to dynamically generate random tokens on demand for authentication. The token-based authentication protocol only requires O(1) communication overhead and online computation overhead per authentication for both readers and tags.
Finally, the authors investigate the problem of networked-tag identification. The traditional contention-based protocol design will incur too much energy overhead in multihop tag systems, and a reader-coordinated design that significantly serializes tag transmissions performs much better. In addition, a solution based on serial numbers is proposed to achieve load balancing, thereby reducing the worst-case energy cost among the tags.

Emerging Technologies for Developing Countries: First International EAI Conference, AFRICATEK 2017, Marrakech, Morocco, March 27-28, 2017 Proceedings By Fatna Belqasmi

English | PDF | 2017 (2018 Edition) | 241 Pages | ISBN : 3319678361 | 21.84 MB

This book constitutes the refereed proceedings of the First International EAI Conference on Emerging Technologies for Developing Countries, AFRICATEK 2017, held in Marrakech, Morocco, in March 2017. The 15 full papers, 5 short papers, 2 invited papers and one poster paper were selected from 41 submissions. The papers are organized thematically in tracks, starting with wireless sensor networks (WSNs), vehicular area networks (VANs) and mobile networks; IoT and cloud computing; big data, data analytics, and knowledge management; processing big data over diverse clouds; Web services and software engineering; security.

Selected Topics in Photonics By Asima Pradhan

English | PDF,EPUB | 2017 (2018 Edition) | 85 Pages | ISBN : 9811050090 | 10.91 MB

This volume comprises chapters on the cutting-edge research in photonics undertaken at IIT Kanpur. Photonics requires scientists and engineers to work closely together in addressing challenges which are interdisciplinary in nature. At IIT Kanpur, research is being pursued in several key areas of photonics namely fiber-optics, nanophotonics, quantum optics, optical spectroscopy and imaging, biophotonics, and photonic devices.
This volume brings together contributions from experts to obtain a contemporary perspective in photonics research. The reader will find articles about coherent optical communications, novel photonic nanostructures, nano-structured materials for light control, optical tweezers with nanoscale applications, quantum coherence and entanglement, photodiode arrays and quantum metrology. The volume also includes chapters on cancer diagnostics with optical tomography, protein fluctuations at microsecond scale at single-molecule level, and visualization of motion in a droplet which are interdisciplinary in nature. The contents of this book will be of use to researchers, students, and professionals working across all domains of photonics.

Mastering OpenCV 3 – Second Edition by Daniel Lélis Baggio

English | 4 May 2017 | ASIN: B01N7G0BKE | 250 Pages | AZW3 | 4.82 MB

Key Features
Updated for OpenCV 3, this book covers new features that will help you unlock the full potential of OpenCV 3
Written by a team of 7 experts, each chapter explores a new aspect of OpenCV to help you make amazing computer-vision aware applications
Each chapter is a tutorial for an entire project from start to finish, showing you how to apply OpenCV to solve complete problems
Book Description
As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.
This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn.
By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
What you will learn
Execute basic image processing operations and cartoonify an image
Build an OpenCV project natively with Raspberry Pi and cross-compile it for Raspberry Pi.text
Extend the natural feature tracking algorithm to support the tracking of multiple image targets on a video
Use OpenCV 3’s new 3D visualization framework to illustrate the 3D scene geometry
Create an application for Automatic Number Plate Recognition (ANPR) using a support vector machine and Artificial Neural Networks
Train and predict pattern-recognition algorithms to decide whether an image is a number plate
Use POSIT for the six degrees of freedom head pose
Train a face recognition database using deep learning and recognize faces from that database

Artificial Intelligence (Cutting-Edge Science and Technology) by Kathryn Hulick

English | January 1st, 2016 | ISBN: 162403912X, 9781624039126 | 115 Pages | True PDF | 18.67 MB

Thrilling new discoveries in science and technology are announced almost daily. Cutting-Edge Science and Technology keeps readers at the forefront of new research. Artificial Intelligencecovers a wide variety of topics in the emerging field of machine learning, including facial identification, voice recognition, video games, driverless cars, and robot helpers.
High-impact photos and explanatory graphics and charts bring scientific concepts to life. Features include essential facts, a glossary, selected bibliography, websites, source notes, and an index.

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