Teaching And Learning Advances On Sensors For Iot

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Teaching and Learning Advances on Sensors for IoT

Author : Sergio Martin
Publisher : MDPI
Page : 122 pages
File Size : 44,6 Mb
Release : 2021-04-14
Category : Technology & Engineering
ISBN : 9783036505220

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Teaching and Learning Advances on Sensors for IoT by Sergio Martin Pdf

This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.

Teaching and Learning Advances on Sensors for IoT.

Author : Sergio Martin
Publisher : Unknown
Page : 122 pages
File Size : 40,7 Mb
Release : 2021
Category : Electronic
ISBN : 3036505237

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Teaching and Learning Advances on Sensors for IoT. by Sergio Martin Pdf

This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.

Architecture and Technological Advancements of Education 4.0

Author : Pandey, Rajiv,Srivastava, Nidhi,Chatterjee, Parag
Publisher : IGI Global
Page : 496 pages
File Size : 52,5 Mb
Release : 2023-11-27
Category : Education
ISBN : 9781668492864

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Architecture and Technological Advancements of Education 4.0 by Pandey, Rajiv,Srivastava, Nidhi,Chatterjee, Parag Pdf

Academics 4.0 has become increasingly crucial in recent times due to the impact of Industry 4.0 on various fields. The emergence of disruptive technologies and the cyber-physical world has underscored the need for experts in these areas, which requires proper training of students from an early stage. Education 4.0 is essential in preparing faculties and students adequately for this purpose. This approach shifts the focus from teaching to learning and employs blended learning, MOOC courses, and flipped classrooms to achieve better understanding and application of knowledge. The practical aspect of the subject is discussed in the classroom, while the theoretical aspect is taught outside the class. The book, Architecture and Technological Advancements of Education 4.0, aims to explain the rationale, advantages, and features of Academics 4.0, explore assessment tools and techniques, and describe the national policy for bringing change in education. It also covers blended learning, MOOC courses, virtual labs, and mobile learning, with a focus on their benefits. The book will be useful for universities and educational entities that aim to follow Academics 4.0 in the education system, serve as a reference manual for research articles, and be helpful to faculties and academicians who wish to implement and assess online techniques. Additionally, it will be an excellent learning platform for providers and users of relevant domains, with a broad range of topics covering its impact on the education system, students, and workforce.

Advances in Software Engineering, Education, and e-Learning

Author : Hamid R. Arabnia,Leonidas Deligiannidis,Fernando G. Tinetti,Quoc-Nam Tran
Publisher : Springer Nature
Page : 1004 pages
File Size : 44,7 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9783030708733

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Advances in Software Engineering, Education, and e-Learning by Hamid R. Arabnia,Leonidas Deligiannidis,Fernando G. Tinetti,Quoc-Nam Tran Pdf

This book presents the proceedings of four conferences: The 16th International Conference on Frontiers in Education: Computer Science and Computer Engineering + STEM (FECS'20), The 16th International Conference on Foundations of Computer Science (FCS'20), The 18th International Conference on Software Engineering Research and Practice (SERP'20), and The 19th International Conference on e-Learning, e-Business, Enterprise Information Systems, & e-Government (EEE'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020 as part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. This book contains an open access chapter entitled, "Advances in Software Engineering, Education, and e-Learning". Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks Computer Engineering + STEM, Foundations of Computer Science, Software Engineering Research, and e-Learning, e-Business, Enterprise Information Systems, & e-Government; Features papers from FECS'20, FCS'20, SERP'20, EEE'20, including one open access chapter.

Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness

Author : Kayyali, Mustafa
Publisher : IGI Global
Page : 551 pages
File Size : 54,8 Mb
Release : 2024-04-22
Category : Education
ISBN : 9798369354858

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Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness by Kayyali, Mustafa Pdf

In the dynamic landscape of higher education, institutions face a myriad of challenges that threaten to inhibit their ability to nurture the leaders of tomorrow effectively. Academia is navigating new challenges, including the pressures of globalization, the complexities of digital transformation and the imperative of fostering diversity and inclusion. The need for innovative solutions and strategic approaches to these challenges has never been more pressing. Building Resiliency in Higher Education: Globalization, Digital Skills, and Student Wellness offers a comprehensive exploration of these critical issues, providing educators, administrators, policymakers, and researchers with a roadmap for navigating the complexities of the modern educational landscape. The book equips readers with the knowledge and insights needed to address these challenges head-on by delving into topics such as internationalization, innovation, and sustainability. This valuable resource aids understanding and responsiveness to the trends shaping higher education today through in-depth analysis and an interdisciplinary approach.

Advances in Distance Learning in Times of Pandemic

Author : Joanna Rosak Szyrocka,Justyna Żywiołek,Anand Nayyar,Mohd Naved
Publisher : CRC Press
Page : 356 pages
File Size : 40,7 Mb
Release : 2023-04-03
Category : Computers
ISBN : 9781000849332

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Advances in Distance Learning in Times of Pandemic by Joanna Rosak Szyrocka,Justyna Żywiołek,Anand Nayyar,Mohd Naved Pdf

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education. It highlights • the function of online education and how that has changed before and during the pandemic. • how e-learning is beneficial in promoting digital citizenship. • distance learning characteristic in the era of industry 4.0 and society 5.0. • how the era of industry 4.0 treats distance learning as a desirable form of education. The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries

Author : Goel, Neha,Yadav, Ravindra Kumar
Publisher : IGI Global
Page : 570 pages
File Size : 40,6 Mb
Release : 2023-07-03
Category : Computers
ISBN : 9781668487877

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Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries by Goel, Neha,Yadav, Ravindra Kumar Pdf

Machine learning (ML) and the internet of things (IoT) are the top technologies used by businesses to increase efficiency, productivity, and competitiveness in this fast-paced digital era transformation. ML is the key tool for fast processing and decision making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. IoT technology has proven efficient in solving many real-world problems, and ML algorithms combined with IoT means the fusion of product and intelligence to achieve better automation, efficiency, productivity, and connectivity. The Handbook of Research on Machine Learning-Enabled IoT for Smart Applications Across Industries highlights the importance of ML for IoT’s success and diverse ML-powered IoT applications. This book addresses the problems and challenges in energy, industry, and healthcare and solutions proposed for ML-enabled IoT and new algorithms in ML. It further addresses their accuracy for existing real-time applications. Covering topics such as agriculture, pattern recognition, and smart applications, this premier reference source is an essential resource for engineers, scientists, educators, students, researchers, and academicians.

Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy

Author : Alex Khang,Vugar Abdullayev,Vladimir Hahanov,Vrushank Shah
Publisher : CRC Press
Page : 411 pages
File Size : 48,6 Mb
Release : 2024-02-27
Category : Technology & Engineering
ISBN : 9781003851912

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Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy by Alex Khang,Vugar Abdullayev,Vladimir Hahanov,Vrushank Shah Pdf

The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies. Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension. This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.

Advances in Computer Science for Engineering and Education

Author : Zhengbing Hu,Ivan Dychka,Sergey Petoukhov,Matthew He
Publisher : Springer Nature
Page : 548 pages
File Size : 52,5 Mb
Release : 2022-04-27
Category : Computers
ISBN : 9783031048128

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Advances in Computer Science for Engineering and Education by Zhengbing Hu,Ivan Dychka,Sergey Petoukhov,Matthew He Pdf

This book contains high-quality refereed research papers presented at the Fifth International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2022), which took place in Kyiv, Ukraine, on February 21–22, 2022, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute," National Aviation University, and the International Research Association of Modern Education and Computer Science. State-of-the-art studies in computer science, artificial intelligence, engineering methodologies, genetic coding systems, deep learning with medical applications, and knowledge representation with educational applications are among the topics covered in the book. For academics, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and education, this book is a valuable resource.

Security and Privacy Issues in IoT Devices and Sensor Networks

Author : Sudhir Kumar Sharma,Bharat Bhushan,Narayan C. Debnath
Publisher : Academic Press
Page : 334 pages
File Size : 43,7 Mb
Release : 2020-10-15
Category : Technology & Engineering
ISBN : 9780128232224

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Security and Privacy Issues in IoT Devices and Sensor Networks by Sudhir Kumar Sharma,Bharat Bhushan,Narayan C. Debnath Pdf

Security and Privacy Issues in IoT Devices and Sensor Networks investigates security breach issues in IoT and sensor networks, exploring various solutions. The book follows a two-fold approach, first focusing on the fundamentals and theory surrounding sensor networks and IoT security. It then explores practical solutions that can be implemented to develop security for these elements, providing case studies to enhance understanding. Machine learning techniques are covered, as well as other security paradigms, such as cloud security and cryptocurrency technologies. The book highlights how these techniques can be applied to identify attacks and vulnerabilities, preserve privacy, and enhance data security. This in-depth reference is ideal for industry professionals dealing with WSN and IoT systems who want to enhance the security of these systems. Additionally, researchers, material developers and technology specialists dealing with the multifarious aspects of data privacy and security enhancement will benefit from the book's comprehensive information. Provides insights into the latest research trends and theory in the field of sensor networks and IoT security Presents machine learning-based solutions for data security enhancement Discusses the challenges to implement various security techniques Informs on how analytics can be used in security and privacy

Hands-On Artificial Intelligence for IoT

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
Page : 382 pages
File Size : 55,7 Mb
Release : 2019-01-31
Category : Computers
ISBN : 9781788832762

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Hands-On Artificial Intelligence for IoT by Amita Kapoor Pdf

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

AIoT and Smart Sensing Technologies for Smart Devices

Author : Al-Turjman, Fadi
Publisher : IGI Global
Page : 266 pages
File Size : 43,7 Mb
Release : 2024-02-07
Category : Technology & Engineering
ISBN : 9798369307878

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AIoT and Smart Sensing Technologies for Smart Devices by Al-Turjman, Fadi Pdf

The rapid advancement of IoT and smart technologies poses significant challenges for academic scholars, including meeting new requirements such as reliability, quality of service, and energy efficiency. AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi ALTURJMAN, offers an invaluable solution by serving as a knowledge hub that brings together diverse research and professional contributions. This comprehensive book enables scholars to delve into topics like IoT-oriented applications, sustainable development, machine learning, and wireless networks, providing the necessary insights to navigate the complexities of IoT and smart technologies. Targeted at experts, researchers, and students, this book equips readers with the understanding needed to tackle the challenges in this dynamic field. Covering areas such as IoT paradigms, network security, machine learning approaches, and wireless network protocols, it serves as a guide for unlocking the potential of AIoT. With this resource, scholars can stay informed, explore innovative approaches, and actively contribute to the advancement of AIoT and smart technologies, making it a compelling solution for those grappling with the complexities of this transformative field.

Teaching and Learning in a Digital World

Author : Michael E. Auer,David Guralnick,Istvan Simonics
Publisher : Springer
Page : 795 pages
File Size : 46,5 Mb
Release : 2018-02-09
Category : Technology & Engineering
ISBN : 9783319732046

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Teaching and Learning in a Digital World by Michael E. Auer,David Guralnick,Istvan Simonics Pdf

This book gathers the Proceedings of the 20th International Conference on Interactive Collaborative Learning (ICL2017), held in Budapest, Hungary on 27–29 September 2017. The authors are currently witnessing a significant transformation in the development of education. The impact of globalisation on all areas of human life, the exponential acceleration of technological developments and global markets, and the need for flexibility and agility are essential and challenging elements of this process that have to be tackled in general, but especially in engineering education. To face these current real-world challenges, higher education has to find innovative ways to quickly respond to them. Since its inception in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning. Today the ICL conferences offer a forum for exchange concerning relevant trends and research results, and for sharing practical experience gained while developing and testing elements of new technologies and pedagogies in the learning context.

Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3

Author : Kohei Arai
Publisher : Springer Nature
Page : 829 pages
File Size : 42,8 Mb
Release : 2022-10-13
Category : Technology & Engineering
ISBN : 9783031183447

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Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3 by Kohei Arai Pdf

The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.

Advances in Computer Science for Engineering and Education III

Author : Zhengbing Hu,Sergey Petoukhov,Ivan Dychka,Matthew He
Publisher : Springer Nature
Page : 689 pages
File Size : 47,6 Mb
Release : 2020-08-05
Category : Computers
ISBN : 9783030555061

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Advances in Computer Science for Engineering and Education III by Zhengbing Hu,Sergey Petoukhov,Ivan Dychka,Matthew He Pdf

This book comprises high-quality refereed research papers presented at the Third International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2020), held in Kyiv, Ukraine, on 21–22 January 2020, organized jointly by National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, National Aviation University, and the International Research Association of Modern Education and Computer Science. The topics discussed in the book include state-of-the-art papers in computer science, artificial intelligence, engineering techniques, genetic coding systems, deep learning with its medical applications, and knowledge representation with its applications in education. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.