Intelligent Control Via Wireless Sensor Networks for Advanced Coal Combustion Systems PDF Download
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Author:
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Languages : en
Pages :
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Numerical Modeling of Solid Gas Flow, System Identification for purposes of modeling and control, and Wireless Sensor and Actor Network design were pursued as part of this project. Time series input-output data was obtained from NETL's Morgantown CFB facility courtesy of Dr. Lawrence Shadle. It was run through a nonlinear kernel estimator and nonparametric models were obtained for the system. Linear and first-order nonlinear kernels were then utilized to obtain a state-space description of the system. Neural networks were trained that performed better at capturing the plant dynamics. It is possible to use these networks to find a plant model and the inversion of this model can be used to control the system. These models allow one to compare with physics based models whose parameters can then be determined by comparing them against the available data based model. On a parallel track, Dr. Kumar designed an energy-efficient and reliable transport protocol for wireless sensor and actor networks, where the sensors could be different types of wireless sensors used in CFB based coal combustion systems and actors are more powerful wireless nodes to set up a communication network while avoiding the data congestion. Dr. Ahmadi's group studied gas solid flow in a duct. It was seen that particle concentration clearly shows a preferential distribution. The particles strongly interact with the turbulence eddies and are concentrated in narrow bands that are evolving with time. It is believed that observed preferential concentration is due to the fact that these particles are flung out of eddies by centrifugal force.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Numerical Modeling of Solid Gas Flow, System Identification for purposes of modeling and control, and Wireless Sensor and Actor Network design were pursued as part of this project. Time series input-output data was obtained from NETL's Morgantown CFB facility courtesy of Dr. Lawrence Shadle. It was run through a nonlinear kernel estimator and nonparametric models were obtained for the system. Linear and first-order nonlinear kernels were then utilized to obtain a state-space description of the system. Neural networks were trained that performed better at capturing the plant dynamics. It is possible to use these networks to find a plant model and the inversion of this model can be used to control the system. These models allow one to compare with physics based models whose parameters can then be determined by comparing them against the available data based model. On a parallel track, Dr. Kumar designed an energy-efficient and reliable transport protocol for wireless sensor and actor networks, where the sensors could be different types of wireless sensors used in CFB based coal combustion systems and actors are more powerful wireless nodes to set up a communication network while avoiding the data congestion. Dr. Ahmadi's group studied gas solid flow in a duct. It was seen that particle concentration clearly shows a preferential distribution. The particles strongly interact with the turbulence eddies and are concentrated in narrow bands that are evolving with time. It is believed that observed preferential concentration is due to the fact that these particles are flung out of eddies by centrifugal force.
Author: Bhanu Chander
Publisher: CRC Press
ISBN: 1040027121
Category : Technology & Engineering
Languages : en
Pages : 368
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Book Description
The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN’s. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs. This book: Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system Explores intelligent route discovering, identification of research problems and its implications to the real world Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Author: Bhanu Chander
Publisher:
ISBN: 9781003474524
Category : Computers
Languages : en
Pages : 0
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Book Description
"The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN's. The novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links face the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs. This text: Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models. Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology. Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system. Explores intelligent route discovering, identification of research problems and its implications to the real world. Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity. Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system. This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches. This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology"--
Author: Soumya Ranjan Nayak
Publisher: CRC Press
ISBN: 1000458512
Category : Computers
Languages : en
Pages : 263
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Book Description
Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them. The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas. The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.
Author: Hlabishi Isaac Kobo
Publisher:
ISBN:
Category : Internet of things
Languages : en
Pages : 0
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Book Description
The advent of IoT as the next dominant player in cyber circles has ignited much research interest and a closer synergy between communication and computing models. Software-defined networking (SDN) and wireless sensor networks (WSNs) are some of the models envisaged to play a vital role in the IoT framework. SDN is an emerging network paradigm which has disrupted the status quo in networking and computing. This model is currently receiving much research attention and is being adopted rapidly by industry. It introduces flexibility, innovation, simplicity, and better management to networking. On the other hand, WSNs have always been used for monitoring physical and environmental factors such as temperature, humidity, vibrations, motions, seismic events, etc. The introduction and development of smart sensors have improved and advanced the WSNs. The emergence of the Internet of Things (IoT) paradigm has extended the scope of the demand of WSNs as they are considered to be the main building blocks of the IoT. However, WSNs continue to be plagued by challenges such as limited energy, computational capability, data storage, and communication bandwidth. The application of SDN to WSNs address most of the inherent WSNs challenges which have resulted in a new model of software-defined wireless sensor networks (SDWSNs). The SDWSN model is currently receiving much research attention as it has enormous potential for the future ICT. The SDN model advocates the separation of control logic and forwarding from the network elements. This decoupling leaves the element as a dump device and centralises the control logic in a controller. The controller in SDWSN is very vital and critical as it holds the intelligence and control of the whole network. The current major challenge is the centralisation of this controller. This makes the network vulnerable to malicious attacks as it becomes a simple target for adversaries. Another challenge is the fact that it stifles growth as it limits the scalability of the network and could potentially suffer performance degradation. Therefore, the reliability, performance, and efficiency of the network depends on the controller, despite operation. This study proposes an efficient distribution method for the SDWSN control system using the concept of fragmentation. This entails dedicating segments of the network to local controllers; these controllers are small and inexpensive but efficient. It also involves a global controller which has a global view of the network. This two-level architecture will leverage distribution, which will ensure availability and performance enabled by access. The purpose of this research study is to investigate if distributing an SDWSN control system is ideal, as well as to investigate the viability of the fragmentation model to achieve scalability, reliability and better performance. The evaluation shows that distributing the control system of the SDWSN is not only ideal but necessary. The fragmentation model also proved to bring a positive impact on the SDWSN control. The fragmentation model is envisaged to enhance the participation of SDWSNs in IoT. Therefore, the model is further optimised for ease of integration and deployment efficiency. This entails controller placement and controller re-election after controller failure mechanisms. The controller placement ensures a procedural and structured controller placement which aims at reducing the propagation latency between the sensor nodes and the local controllers as well as between the local controllers and the global controller. The controller re-election ensure that distance is taken into consideration when a controller is replaced by its peer after failure, thus ensures that the chosen replacement is closer to the failed controller. The two mechanisms were evaluated and proven to be efficient and improved performance.
Author: Gourab Sen Gupta
Publisher: Springer Science & Business Media
ISBN: 3540795901
Category : Technology & Engineering
Languages : en
Pages : 408
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Book Description
Technological advancements in recent years have enabled the development of tiny, cheap disposable and self contained battery powered computers, known as sensor nodes or “motes”, which can accept input from an attached sensor, process this input and transmit the results wirelessly to some interested device(s). When a number of these nodes work together, conceivably up to hundreds of thousands, a Wireless Sensor Network (WSN) is formed. Research in the area of wireless sensor networks has become increasingly wid- pread in recent years, partly due to their wide range of potential uses and also partly due to the fact that the technology enabling such networks is now widely available from many di?erent suppliers, such as: Crossbow, MoteIV, Intel and SUN (java based motes). These wireless sensor networks have the potential to allow a level of integration between computers and the physical world that, to date, has been virtually impos- ble. The uses for such networks is almost limitless and include such diverse app- cations as a counter sniper system for urban warfare [1] tracking the path of a forest re [2], determining the structural stability of a building after an earthquake [3], or tracking people or objects inside a building [4], etc.
Author: Muthumanikandan, Vanamoorthy
Publisher: IGI Global
ISBN: 1668477580
Category : Computers
Languages : en
Pages : 202
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Book Description
In the implementation of smart cities, sensors and actuators that produce and consume enormous amounts of data in a variety of formats and ontologies will be incorporated into the system as a whole. The data produced by the participating devices need to be adequately categorized and connected to reduce duplication and conflicts. Newer edge computing techniques are needed to manage enormous amounts of data quickly and avoid overloading the cloud infrastructure. Cyber-Physical System Solutions for Smart Cities considers the most recent developments in several crucial software services and cyber infrastructures that are important to smart cities. Covering key topics such as artificial intelligence, smart data, big data, and computer science, this premier reference source is ideal for industry professionals, government officials, policymakers, scholars, researchers, academicians, instructors, and students.
Author: Mohamed Elhoseny
Publisher: Springer
ISBN: 9783030642600
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems. This conference proceeding is an academic book which can be read by students, analysts, policymakers, and regulators interested in Distributed Sensing, Smart Network approaches, Smart Cities, IoT Applications, and Intelligent Applications. It is written in plain and easy language, and describes new concepts when they appear first so that a reader without prior background of the field finds it readable. The book is primarily intended for research students in sensor networks and IoT applications (including intelligent information systems, and smart sensors applications), academics in higher education institutions including universities and vocational colleges, policy makers and legislators.
Author: Salahddine Krit
Publisher: Information Science Reference
ISBN: 9781799843818
Category : Computers
Languages : en
Pages : 0
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Book Description
"This book contains research on the methods of intelligent systems and technologies and their various applications within sustainable development practices"--
Author: Aboul Ella Hassanien
Publisher: Springer Nature
ISBN: 3031224566
Category : Computers
Languages : en
Pages : 255
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Book Description
This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications.
