Iot And Data Science In Engineering Management

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IoT and Data Science in Engineering Management

Fausto Pedro García Márquez,Isaac Segovia Ramírez,Pedro José Bernalte Sánchez,Alba Muñoz del Río

Author : Fausto Pedro García Márquez,Isaac Segovia Ramírez,Pedro José Bernalte Sánchez,Alba Muñoz del Río
Publisher : Springer Nature
Page : 551 pages
File Size : 41,6 Mb
Release : 2023-03-24
Category : Technology & Engineering
ISBN : 9783031279157

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IoT and Data Science in Engineering Management by Fausto Pedro García Márquez,Isaac Segovia Ramírez,Pedro José Bernalte Sánchez,Alba Muñoz del Río Pdf

This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022. The conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by Ingenium Research Group at Universidad de Castilla-La Mancha, Spain, and it took place on July 7th and 8th, 2022, in Toledo, Spain. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics

Taser, Pelin Yildirim

Author : Taser, Pelin Yildirim
Publisher : IGI Global
Page : 334 pages
File Size : 40,8 Mb
Release : 2021-11-05
Category : Computers
ISBN : 9781799841876

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Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.

Transforming Management with AI, Big-Data, and IoT

Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan

Author : Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan
Publisher : Springer Nature
Page : 315 pages
File Size : 40,8 Mb
Release : 2022-02-17
Category : Technology & Engineering
ISBN : 9783030867492

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Transforming Management with AI, Big-Data, and IoT by Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan Pdf

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1

Jiuping Xu,Fulya Altiparmak,Mohamed Hag Ali Hassan,Fausto Pedro García Márquez,Asaf Hajiyev

Author : Jiuping Xu,Fulya Altiparmak,Mohamed Hag Ali Hassan,Fausto Pedro García Márquez,Asaf Hajiyev
Publisher : Springer Nature
Page : 854 pages
File Size : 43,7 Mb
Release : 2022-07-13
Category : Technology & Engineering
ISBN : 9783031103889

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Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1 by Jiuping Xu,Fulya Altiparmak,Mohamed Hag Ali Hassan,Fausto Pedro García Márquez,Asaf Hajiyev Pdf

This book covers many hot topics, including theoretical and practical research in many areas such as dynamic analysis, machine learning, supply chain management, operations management, environmental management, uncertainty, and health and hygiene. It showcases advanced management concepts and innovative ideas. The 16th International Conference on Management Science and Engineering Management (2022 ICMSEM) will be held in Ankara, Turkey, during August 3-6, 2022. ICMSEM has always been committed to promoting innovation management science (M-S) and engineering management (EM) academic research and development. The book provides researchers and practitioners in the field of Management Science and Engineering Management (MSEM) with the latest, cutting-edge thinking and research in the field. It will appeal to readers interested in these fields, especially those looking for new ideas and research directions.

Data Science for Iot Engineers: A Systems Analytics Approach

P. G. Madhavan

Author : P. G. Madhavan
Publisher : Mercury Learning and Information
Page : 180 pages
File Size : 54,7 Mb
Release : 2021-12-30
Category : Business & Economics
ISBN : 1683926420

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Data Science for Iot Engineers: A Systems Analytics Approach by P. G. Madhavan Pdf

This book is designed to introduce the concepts of data science to professionals in engineering, physics, mathematics, and allied fields. It is a workbook with MATLAB code that creates a common framework and points out various interconnections related to industry. This will allow the reader to connect previous subject knowledge to data science, machine learning, or analytics and apply it to IoT applications. Part One brings together subjects in machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two (Systems Analytics) develops a "universal" nonlinear, time-varying dynamical machine learning solution that can faithfully model all the essential complexities of real-life business problems and shows how to apply it. FEATURES: Introduces the concepts of data science to professionals in engineering, physics, mathematics, and allied fields Develops a "universal," nonlinear, dynamical machine learning solution to model and apply the complexities of modern applications in IoT Covers topics such as machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.

Big Data Analytics in Intelligent IoT and Cyber-Physical Systems

Nonita Sharma,Monika Mangla,Subhash K. Shinde

Author : Nonita Sharma,Monika Mangla,Subhash K. Shinde
Publisher : Springer Nature
Page : 312 pages
File Size : 43,7 Mb
Release : 2023-11-04
Category : Technology & Engineering
ISBN : 9789819945184

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Big Data Analytics in Intelligent IoT and Cyber-Physical Systems by Nonita Sharma,Monika Mangla,Subhash K. Shinde Pdf

This book explores the complete system perspective, underlying theories, modeling, and applications of cyber-physical systems (CPS). Considering the interest of researchers and academicians, the editors present this book in a multidimensional perspective covering CPS at breadth. It covers topics ranging from discussion of rudiments of the system and efficient management to recent research challenges and issues. This book is divided into four sections discussing the fundamentals of CPS, engineering-based solutions, its applications, and advanced research challenges. The contents highlight the concept map of CPS including the latest technological interventions, issues, challenges, and the integration of CPS with IoT and big data analytics, modeling solutions, distributed management, efficient energy management, cyber-physical systems research, and education with applications in industrial, agriculture, and medical domains. This book is of immense interest to those in academia and industry.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.

Author : Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P.
Publisher : IGI Global
Page : 326 pages
File Size : 49,8 Mb
Release : 2022-09-30
Category : Computers
ISBN : 9781668457245

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New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Data Analytics for Internet of Things Infrastructure

Rohit Sharma,Gwanggil Jeon,Yan Zhang

Author : Rohit Sharma,Gwanggil Jeon,Yan Zhang
Publisher : Springer Nature
Page : 330 pages
File Size : 45,5 Mb
Release : 2023-09-19
Category : Technology & Engineering
ISBN : 9783031338083

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Data Analytics for Internet of Things Infrastructure by Rohit Sharma,Gwanggil Jeon,Yan Zhang Pdf

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.

Introduction to Internet of Things in Management Science and Operations Research

Fausto Pedro García Márquez,Benjamin Lev

Author : Fausto Pedro García Márquez,Benjamin Lev
Publisher : Springer Nature
Page : 315 pages
File Size : 52,9 Mb
Release : 2021-09-28
Category : Business & Economics
ISBN : 9783030746445

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Introduction to Internet of Things in Management Science and Operations Research by Fausto Pedro García Márquez,Benjamin Lev Pdf

This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.

Science, Engineering Management and Information Technology

Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar

Author : Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar
Publisher : Springer Nature
Page : 410 pages
File Size : 40,5 Mb
Release : 2023-08-20
Category : Computers
ISBN : 9783031403958

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Science, Engineering Management and Information Technology by Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar Pdf

This two-volume set constitutes selected papers presented during the First First International Conference on Science, Engineering Management and Information Technology, SEMIT 2022, held virtually in Ankara, Turkey, in February 2–3, 2022 and in September 8-9, 2022. The 37 papers presented were carefully reviewed and selected from the 261 qualified submissions. The papers are organized in the following topical sections: application of computer science and technology in operations and supply chain management; advances of engineering technology and Artificial Intelligence in application management; human factors management systems based on information technology; technology-aided decision-making: systems, applications, and modern solutions.

Data Science in Engineering and Management

Zdzislaw Polkowski,Sambit Kumar Mishra,Julian Vasilev

Author : Zdzislaw Polkowski,Sambit Kumar Mishra,Julian Vasilev
Publisher : CRC Press
Page : 161 pages
File Size : 40,6 Mb
Release : 2021-12-30
Category : Business & Economics
ISBN : 9781000520774

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Data Science in Engineering and Management by Zdzislaw Polkowski,Sambit Kumar Mishra,Julian Vasilev Pdf

This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis. Data Science in Engineering and Management: Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively. This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.

Big data management in Sensing

Renny Fernandez,Terrance Frederick Fernandez

Author : Renny Fernandez,Terrance Frederick Fernandez
Publisher : CRC Press
Page : 286 pages
File Size : 42,9 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000794274

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Big data management in Sensing by Renny Fernandez,Terrance Frederick Fernandez Pdf

The book is centrally focused on human computer Interaction and how sensors within small and wide groups of Nano-robots employ Deep Learning for applications in industry. It covers a wide array of topics that are useful for researchers and students to gain knowledge about AI and sensors in nanobots. Furthermore, the book explores Deep Learning approaches to enhance the accuracy of AI systems applied in medical robotics for surgical techniques. Secondly, we plan to explore bio-nano-robotics, which is a field in nano-robotics, that deals with automatic intelligence handling, self-assembly and replication, information processing and programmability.

Big Data Analytics for Cyber-Physical System in Smart City

Mohammed Atiquzzaman,Neil Yen,Zheng Xu

Author : Mohammed Atiquzzaman,Neil Yen,Zheng Xu
Publisher : Springer Nature
Page : 2049 pages
File Size : 47,9 Mb
Release : 2020-01-11
Category : Technology & Engineering
ISBN : 9789811525681

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Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.

Combating Security Challenges in the Age of Big Data

Zubair Md. Fadlullah,Al-Sakib Khan Pathan

Author : Zubair Md. Fadlullah,Al-Sakib Khan Pathan
Publisher : Springer Nature
Page : 271 pages
File Size : 44,7 Mb
Release : 2020-05-26
Category : Computers
ISBN : 9783030356422

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Combating Security Challenges in the Age of Big Data by Zubair Md. Fadlullah,Al-Sakib Khan Pathan Pdf

This book addresses the key security challenges in the big data centric computing and network systems, and discusses how to tackle them using a mix of conventional and state-of-the-art techniques. The incentive for joining big data and advanced analytics is no longer in doubt for businesses and ordinary users alike. Technology giants like Google, Microsoft, Amazon, Facebook, Apple, and companies like Uber, Airbnb, NVIDIA, Expedia, and so forth are continuing to explore new ways to collect and analyze big data to provide their customers with interactive services and new experiences. With any discussion of big data, security is not, however, far behind. Large scale data breaches and privacy leaks at governmental and financial institutions, social platforms, power grids, and so forth, are on the rise that cost billions of dollars. The book explains how the security needs and implementations are inherently different at different stages of the big data centric system, namely at the point of big data sensing and collection, delivery over existing networks, and analytics at the data centers. Thus, the book sheds light on how conventional security provisioning techniques like authentication and encryption need to scale well with all the stages of the big data centric system to effectively combat security threats and vulnerabilities. The book also uncovers the state-of-the-art technologies like deep learning and blockchain which can dramatically change the security landscape in the big data era.

Big Data, IoT, and Machine Learning

Rashmi Agrawal,Marcin Paprzycki,Neha Gupta

Author : Rashmi Agrawal,Marcin Paprzycki,Neha Gupta
Publisher : CRC Press
Page : 237 pages
File Size : 46,7 Mb
Release : 2020-07-29
Category : Computers
ISBN : 9781000098303

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Big Data, IoT, and Machine Learning by Rashmi Agrawal,Marcin Paprzycki,Neha Gupta Pdf

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Iot And Data Science In Engineering Management

IoT and Data Science in Engineering Management by Fausto Pedro García Márquez,Isaac Segovia Ramírez,Pedro José Bernalte Sánchez,Alba Muñoz del Río Pdf

Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics by Taser, Pelin Yildirim Pdf

Transforming Management with AI, Big-Data, and IoT by Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan Pdf

Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1 by Jiuping Xu,Fulya Altiparmak,Mohamed Hag Ali Hassan,Fausto Pedro García Márquez,Asaf Hajiyev Pdf

Data Science for Iot Engineers: A Systems Analytics Approach by P. G. Madhavan Pdf

Big Data Analytics in Intelligent IoT and Cyber-Physical Systems by Nonita Sharma,Monika Mangla,Subhash K. Shinde Pdf

New Approaches to Data Analytics and Internet of Things Through Digital Twin by Karthikeyan, P.,Katina, Polinpapilinho F.,Anandaraj, S.P. Pdf

Data Analytics for Internet of Things Infrastructure by Rohit Sharma,Gwanggil Jeon,Yan Zhang Pdf

Introduction to Internet of Things in Management Science and Operations Research by Fausto Pedro García Márquez,Benjamin Lev Pdf

Science, Engineering Management and Information Technology by Abolfazl Mirzazadeh,Babek Erdebilli,Erfan Babaee Tirkolaee,Gerhard-Wilhelm Weber,Arpan Kumar Kar Pdf

Data Science in Engineering and Management by Zdzislaw Polkowski,Sambit Kumar Mishra,Julian Vasilev Pdf

Big data management in Sensing by Renny Fernandez,Terrance Frederick Fernandez Pdf

Big Data Analytics for Cyber-Physical System in Smart City by Mohammed Atiquzzaman,Neil Yen,Zheng Xu Pdf

Combating Security Challenges in the Age of Big Data by Zubair Md. Fadlullah,Al-Sakib Khan Pathan Pdf

Big Data, IoT, and Machine Learning by Rashmi Agrawal,Marcin Paprzycki,Neha Gupta Pdf

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