Open Access
Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems
Ovidiu Vermesan,Peter Friess +1 more
- 30 Jun 2013
984
TL;DR: The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.
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Abstract: The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global "state of play". The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.
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Citations
•Journal Article
An IOT Based Approach Detection, Navigation and Reporting
TL;DR: This work proposes a proposed mechanism that distinguishes between the speed variation of low speed vehicle and walking or slowly running person, and was practically tested in real simulated environment and achieved quite very good performance results.
•Dissertation
Understanding the influence of Internet of things (IoT) on individual performance
Tiago Miguel Ribeiro Martins da Costa
- 29 Jan 2019
TL;DR: Findings suggest that TTF, use, user satisfaction, and perceived usefulness are important drivers to explain Io T individuals’ performance, and age moderates the relationship between perceived benefits and individual performance.
A Review on IoT-Driven Technologies for Heart Disease Diagnosis and Prediction
24 Jun 2022
TL;DR: In this paper , the authors highlight IoT-driven technologies that have been used in the literature for diagnosing and forecasting heart disease, and highlight the use of various sensors, such as electrocardiograms (ECGs), thermometers, and blood pressure monitors to collect important body signals and diagnose illnesses.
A Study on the Development Method for Trust-Based Activation in Internet of Things
Kyong-jin Kim,Seng-phil Hong +1 more
TL;DR: In this work, it is considered necessary to develop the standardization applying multiplicative security factors for possible threats in the IoT, and it is proposed to establish a methodology for this standardization.
My Device—Fog: Integrative Mapping, Tracking, and Identification of Device Id, Location, and User Info
Yashwanth Mandanapu,Mohan Krishna,Upputuri Tejo Gopinath,D. Usha Nandini +3 more
- 01 Jan 2021
TL;DR: In this paper, a numerical model of fog registering and survey its relevance with regards to IoT, where it is significant to fulfill the needs of the idleness touchy applications running on the system board.
References
•Book
Neural Networks: A Comprehensive Foundation
Simon Haykin
- 16 Jul 1998
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Pattern Recognition and Machine Learning
TL;DR: This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.
30.8K
A tutorial on hidden Markov models and selected applications in speech recognition
Lawrence R. Rabiner
- 01 Feb 1989
TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
The Internet of Things: A survey
TL;DR: This survey is directed to those who want to approach this complex discipline and contribute to its development, and finds that still major issues shall be faced by the research community.
15.3K
Neural Networks for Pattern Recognition
Suresh Kothari,Heekuck Oh +1 more
TL;DR: The chapter discusses two important directions of research to improve learning algorithms: the dynamic node generation, which is used by the cascade correlation algorithm; and designing learning algorithms where the choice of parameters is not an issue.
14.5K