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Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (693 download)
Download or read book MACHINE LEARNING FOR ENVIRONMENTAL MONITORING IN WIRELESS SENSOR NETWORKS. written by and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sandy Mahfouz
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (942 download)
Download or read book Kernel-based Machine Learning for Tracking and Environmental Monitoring in Wireless Sensor Networkds written by Sandy Mahfouz and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on the problems of localization and gas field monitoring using wireless sensor networks. First, we focus on the geolocalization of sensors and target tracking. Using the powers of the signals exchanged between sensors, we propose a localization method combining radio-location fingerprinting and kernel methods from statistical machine learning. Based on this localization method, we develop a target tracking method that enhances the estimated position of the target by combining it to acceleration information using the Kalman filter. We also provide a semi-parametric model that estimates the distances separating sensors based on the powers of the signals exchanged between them. This semi-parametric model is a combination of the well-known log-distance propagation model with a non-linear fluctuation term estimated within the framework of kernel methods. The target's position is estimated by incorporating acceleration information to the distances separating the target from the sensors, using either the Kalman filter or the particle filter. In another context, we study gas diffusions in wireless sensor networks, using also machine learning. We propose a method that allows the detection of multiple gas diffusions based on concentration measures regularly collected from the studied region. The method estimates then the parameters of the multiple gas sources, including the sources' locations and their release rates.
Author : Mahalle, Parikshit N.
Publisher : IGI Global
ISBN 13 :
Total Pages : 496 pages
Book Rating : 4.3/5 (693 download)
Download or read book Machine Learning for Environmental Monitoring in Wireless Sensor Networks written by Mahalle, Parikshit N. and published by IGI Global. This book was released on 2024-09-23 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, data fuels everything we do in a highly connected world. However, traditional environmental monitoring methods often fail to provide timely and accurate data for effective decision-making in today's rapidly changing ecosystems. The reliance on manual data collection and outdated technologies results in gaps in data coverage, making it challenging to detect and respond to environmental changes in real time. Additionally, integration between monitoring systems and advanced data analysis tools is necessary to derive actionable insights from collected data. As a result, environmental managers and policymakers face significant challenges in effectively monitoring, managing, and conserving natural resources in a rapidly evolving environment. Machine Learning for Environmental Monitoring in Wireless Sensor Networks offers a comprehensive solution to the limitations of traditional environmental monitoring methods. By harnessing the power of Wireless Sensor Networks (WSNs) and advanced machine learning algorithms, this book presents a novel approach to ecological monitoring that enables real-time, high-resolution data collection and analysis. By integrating WSNs and machine learning, environmental stakeholders can gain deeper insights into complex ecological processes, allowing for more informed decision-making and proactive management of natural resources.
Author : V. Suma
Publisher : Springer Nature
ISBN 13 : 9811552584
Total Pages : 975 pages
Book Rating : 4.8/5 (115 download)
Download or read book Evolutionary Computing and Mobile Sustainable Networks written by V. Suma and published by Springer Nature. This book was released on 2020-07-31 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the International Conference on Evolutionary Computing and Mobile Sustainable Networks (ICECMSN 2020), held at the Sir M. Visvesvaraya Institute of Technology on 20–21 February 2020. Discussing advances in evolutionary computing technologies, including swarm intelligence algorithms and other evolutionary algorithm paradigms which are emerging as widely accepted descriptors for mobile sustainable networks virtualization, optimization and automation, this book is a valuable resource for researchers in the field of evolutionary computing and mobile sustainable networks.
Author : Miguel F. Acevedo
Publisher : CRC Press
ISBN 13 : 1000927792
Total Pages : 425 pages
Book Rating : 4.0/5 (9 download)
Download or read book Real-Time Environmental Monitoring written by Miguel F. Acevedo and published by CRC Press. This book was released on 2023-09-29 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizes real-time monitoring as an emerging area for environmental assessment and compliance and covers the fundamentals on how to develop sensors and systems Presents several entirely new topics not featured in the first edition, including remote sensing and GIS, machine learning, weather radar and satellites, groundwater monitoring, spatial analysis, and habitat monitoring Includes applications to many environmental and ecological systems Uses a practical, hands-on approach with the addition of an accompanying lab manual, which students can use to deepen their understanding, based on the author’s 40 years of academic experience
Author : Feng Zhao
Publisher : Springer Science & Business Media
ISBN 13 : 3540021116
Total Pages : 688 pages
Book Rating : 4.5/5 (4 download)
Download or read book Information Processing in Sensor Networks written by Feng Zhao and published by Springer Science & Business Media. This book was released on 2003-04-10 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Information Processing in Sensor Networks, IPSN 2003, held in Palo Alto, CA, USA, in April 2003. The 23 revised full papers and 21 revised poster papers presented were carefully reviewed and selected from 73 submissions. Among the topics addressed are wireless sensor networks, query processing, decentralized sensor platforms, distributed databases, distributed group management, sensor network design, collaborative signal processing, adhoc sensor networks, distributed algorithms, distributed sensor network control, sensor network resource management, data service middleware, random sensor networks, mobile agents, target tracking, sensor network protocols, large scale sensor networks, and multicast.
Download or read book Teaching Networks how to Learn: Reinforcement Learning for Data Dissemination in Wireless Sensor Networks written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks (WSNs) are a fast developing research area with many new exciting applications arising, ranging from micro climate and environmental monitoring through health and structural monitoring to interplanetary communications. At the same time researchers have invested a lot of time and effort into developing high performance energy efficient and reliable communication protocols to meet the growing challenges of WSN applications and deployments. However, some major problems still remain: for example programming, planning and deploying sensor networks, energy efficient communication, and dependability under harsh environmental conditions. Routing and clustering for wireless sensor networks play a significant role for reliable and energy efficient data dissemination. Although these research areas have attracted a lot of interest lately, there is still no general holistic approach that is able to meet the requirements and challenges of many different applications and network scenarios, like various network sizes and topologies, multiple mobile data sinks, or node failures. The current state-of-the-art is rich in specialized routing and clustering protocols, which concentrate on one or a few of the above problems, but perform poorly under slightly different network conditions. The main goal of this thesis is to demonstrate that machine learning is a practical approach to a range of complex distributed problems in WSNs. Showing this will open up new paths for development at all levels of the communication stack. To achieve our goal we contribute a robust, energy-efficient, and flexible data dissemination framework consisting of a routing protocol called \froms and a clustering protocol called Clique. Both protocols are based on Q-Learning, a reinforcement learning technique, and exhibit vital properties such as robustness against mobility, node and link failures, fast recovery after failures, very low control overhead and a wide variety of supported netw.
Author : Dr. O.P. Uma Maheswari
Publisher : True Dreamster Press
ISBN 13 : 9395030941
Total Pages : 92 pages
Book Rating : 4.3/5 (95 download)
Download or read book A Secured Wireless Sensor Network System written by Dr. O.P. Uma Maheswari and published by True Dreamster Press. This book was released on 2024-05-06 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor networks (WSNs) are being used in a wide variety of critical applications such as military and healthcare applications, agriculture, and industrial process monitoring. WSN has several advantages including easy installation, cost-effectiveness, small size, and low power consumption. In recent years, the demand for environmental monitoring and remote control in agriculture has been rapidly growing. Typically, sensors in the agriculture fields will gather, soil, weather, crop, water level, and moisture level for soil fertility detection, fire detection, irrigation detection, and flood detection in the future and to take action robustly to increase and safeguard the crop productivity.
Author : Tom Hope
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491978481
Total Pages : 242 pages
Book Rating : 4.4/5 (919 download)
Download or read book Learning TensorFlow written by Tom Hope and published by "O'Reilly Media, Inc.". This book was released on 2017-08-09 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. You’ll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you’ll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlessly Learn how to use TensorFlow to build deep learning models from the ground up Train popular deep learning models for computer vision and NLP Use extensive abstraction libraries to make development easier and faster Learn how to scale TensorFlow, and use clusters to distribute model training Deploy TensorFlow in a production setting
Author : Constantin Volosencu
Publisher : IntechOpen
ISBN 13 : 9789535104636
Total Pages : 360 pages
Book Rating : 4.1/5 (46 download)
Download or read book Cutting Edge Research in New Technologies written by Constantin Volosencu and published by IntechOpen. This book was released on 2012-04-05 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book "Cutting Edge Research in New Technologies" presents the contributions of some researchers in modern fields of technology, serving as a valuable tool for scientists, researchers, graduate students and professionals. The focus is on several aspects of designing and manufacturing, examining complex technical products and some aspects of the development and use of industrial and service automation. The book covered some topics as it follows: manufacturing, machining, textile industry, CAD/CAM/CAE systems, electronic circuits, control and automation, electric drives, artificial intelligence, fuzzy logic, vision systems, neural networks, intelligent systems, wireless sensor networks, environmental technology, logistic services, transportation, intelligent security, multimedia, modeling, simulation, video techniques, water plant technology, globalization and technology. This collection of articles offers information which responds to the general goal of technology - how to develop manufacturing systems, methods, algorithms, how to use devices, equipments, machines or tools in order to increase the quality of the products, the human comfort or security.
Author : Vijay Babu Achanti
Publisher :
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (728 download)
Download or read book Environmental Monitoring Using a Wireless Sensor Network at the University of Alabama written by Vijay Babu Achanti and published by . This book was released on 2006 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Balwinder Baj
Publisher : World Scientific
ISBN 13 : 9811279543
Total Pages : 450 pages
Book Rating : 4.8/5 (112 download)
Download or read book Distributed Intelligent Circuits And Systems written by Balwinder Baj and published by World Scientific. This book was released on 2024-03-06 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this book is to provide insights into recent advances in distributed intelligent circuits, systems and their applications. Distributed intelligence is the key enabler for innovations in machine-to-machine communications. The innovations are directed towards keeping existing algorithms as the base and developing new intelligent systems by employing smart technologies. Artificial intelligence (AI) and, more specifically, deep learning (DL) are receiving significant attention in assisting doctors in the detection of disease patterns without much human intervention. In agriculture, robots automate slow, repetitive and dull tasks, allowing farmers to focus more on improving overall production yields.The evolving trends point to the interface of artificial intelligence with machines being a factor in enhancing the decision-making capabilities of smart machines. This book provides relevant theoretical frameworks that include basic models, algorithms, circuit designs and the latest developments in experimental aspects in the field of distributed intelligence systems for industrial applications. The challenges encountered in the development of models for distributed intelligence systems for environmental monitoring are mitigated with artificial intelligence, machine learning and deep learning. This book identifies challenges and helps in applying solutions in the development of advanced intelligent systems for environmental monitoring.
Author : Ni-Bin Chang
Publisher : CRC Press
ISBN 13 : 1351650637
Total Pages : 627 pages
Book Rating : 4.3/5 (516 download)
Download or read book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing written by Ni-Bin Chang and published by CRC Press. This book was released on 2018-02-21 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few years the scientific community has realized that obtaining a better understanding of interactions between natural systems and the man-made environment across different scales demands more research efforts in remote sensing. An integrated Earth system observatory that merges surface-based, air-borne, space-borne, and even underground sensors with comprehensive and predictive capabilities indicates promise for revolutionizing the study of global water, energy, and carbon cycles as well as land use and land cover changes. The aim of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to promote environmental sustainability. The process of machine learning for intelligent feature extraction consists of regular, deep, and fast learning algorithms. The niche for integrating data fusion and machine learning for remote sensing rests upon the creation of a new scientific architecture in remote sensing science that is designed to support numerical as well as symbolic feature extraction managed by several cognitively oriented machine learning tasks at finer scales. By grouping a suite of satellites with similar nature in platform design, data merging may come to help for cloudy pixel reconstruction over the space domain or concatenation of time series images over the time domain, or even both simultaneously. Organized in 5 parts, from Fundamental Principles of Remote Sensing; Feature Extraction for Remote Sensing; Image and Data Fusion for Remote Sensing; Integrated Data Merging, Data Reconstruction, Data Fusion, and Machine Learning; to Remote Sensing for Environmental Decision Analysis, the book will be a useful reference for graduate students, academic scholars, and working professionals who are involved in the study of Earth systems and the environment for a sustainable future. The new knowledge in this book can be applied successfully in many areas of environmental science and engineering.
Download or read book Gedenkboek van den R.K. Amsterdamschen Voetbalbond, 1919-1929 written by and published by . This book was released on 1929 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Waltenegus Dargie
Publisher : John Wiley & Sons
ISBN 13 : 0470975687
Total Pages : 308 pages
Book Rating : 4.4/5 (79 download)
Download or read book Fundamentals of Wireless Sensor Networks written by Waltenegus Dargie and published by John Wiley & Sons. This book was released on 2010-11-05 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors describe the fundamental concepts and practical aspects of wireless sensor networks. The book provides a comprehensive view to this rapidly evolving field, including its many novel applications, ranging from protecting civil infrastructure to pervasive health monitoring. Using detailed examples and illustrations, this book provides an inside track on the current state of the technology. The book is divided into three parts. In Part I, several node architectures, applications and operating systems are discussed. In Part II, the basic architectural frameworks, including the key building blocks required for constructing large-scale, energy-efficient sensor networks are presented. In Part III, the challenges and approaches pertaining to local and global management strategies are presented – this includes topics on power management, sensor node localization, time synchronization, and security. At the end of each chapter, the authors provide practical exercises to help students strengthen their grip on the subject. There are more than 200 exercises altogether. Key Features: Offers a comprehensive introduction to the theoretical and practical concepts pertaining to wireless sensor networks Explains the constraints and challenges of wireless sensor network design; and discusses the most promising solutions Provides an in-depth treatment of the most critical technologies for sensor network communications, power management, security, and programming Reviews the latest research results in sensor network design, and demonstrates how the individual components fit together to build complex sensing systems for a variety of application scenarios Includes an accompanying website containing solutions to exercises (http://www.wiley.com/go/dargie_fundamentals) This book serves as an introductory text to the field of wireless sensor networks at both graduate and advanced undergraduate level, but it will also appeal to researchers and practitioners wishing to learn about sensor network technologies and their application areas, including environmental monitoring, protection of civil infrastructure, health care, precision agriculture, traffic control, and homeland security.
Author : Goyal, Nitin
Publisher : IGI Global
ISBN 13 : 1799836428
Total Pages : 339 pages
Book Rating : 4.7/5 (998 download)
Download or read book Energy-Efficient Underwater Wireless Communications and Networking written by Goyal, Nitin and published by IGI Global. This book was released on 2020-09-04 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Underwater wireless sensor networks (UWSN) are envisioned as an aquatic medium for a variety of applications including oceanographic data collection, disaster management or prevention, assisted navigation, attack protection, and pollution monitoring. Similar to terrestrial wireless sensor networks (WSN), UWSNs consist of sensor nodes that collect the information and pass it to a base station; however, researchers have to face many challenges in executing the network in an aquatic medium. Energy-Efficient Underwater Wireless Communications and Networking is a crucial reference source that covers existing and future possibilities of the area as well as the current challenges presented in the implementation of underwater sensor networks. While highlighting topics such as digital signal processing, underwater localization, and acoustic channel modeling, this publication is ideally designed for machine learning experts, IT specialists, government agencies, oceanic engineers, communication experts, researchers, academicians, students, and environmental agencies concerned with optimized data flow in communication network, securing assets, and mitigating security attacks.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781665411820
Total Pages : pages
Book Rating : 4.4/5 (118 download)
Download or read book 2021 6th International Conference on Communication and Electronics Systems (ICCES) written by IEEE Staff and published by . This book was released on 2021-07-08 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed the deployment of ever expanding range of digital electronics and communication technologies to enable innovative opportunities for meeting the demands posed by both economy and society The increasing computing and communication technologies and the widespread availability of electronics and wireless networking technologies have lowered the traditional barriers of science and technology by processing large amounts of data and also enhancing its accessibility and exchangeability Henceforth deploying new innovative technologies in this domain will even more strengthen the bond between the research and real time applications, which can further reshape the way people socialize and interact with each other
