Internet of Things From Hype to Reality

The Internet of Things (IoT) has gained significant mindshare, let alone attention, in academia and the industry especially over the past few years. The reasons behind this interest are the potential capabilities that IoT promises to offer. On the personal level, it paints a picture of a future world where all the things in our ambient environment are connected to the Internet and seamlessly communicate with each other to operate intelligently. The ultimate goal is to enable objects around us to efficiently sense our surroundings, inexpensively communicate, and ultimately create a better environment for us: one where everyday objects act based on what we need and like without explicit instructions

An Overview of Demand Response : From its Origins to the Smart Energy Community

The need to improve power system performance, enhance reliability, and reduce environmental effects, as well as advances in communication infrastructures, have led to demand response (DR) becoming an essential part of smart grid operation. DR can provide power system operators with a range of flexible resources through different schemes. From the operational decision-making viewpoint, in practice, each scheme can affect the system performance differently. Therefore, categorizing different DR schemes based on their potential impacts on the power grid, operational targets, and economic incentives can embed a pragmatic and practical perspective into the selection approach. In order to provide such insights, this paper presents an extensive review of DR programs. A goal-oriented classification based on the type of market, reliability, power flexibility and the participants’ economic motivation is proposed for DR programs. The benefits and barriers based on new classes are presented. Every involved party, including the power system operator and participants, can utilize the proposed classification to select an appropriate plan in the DR-related ancillary service ecosystem. The various enabling technologies and practical strategies for the application of DR schemes in various sectors are reviewed. Following this, changes in the procedure of DR schemes in the smart community concept are studied. Finally, the direction of future research and development in DR is discussed and analyzed.© 2021 IEEE. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.fi=vertaisarvioitu|en=peerReviewed

Big Data and Artificial Intelligence in Digital Finance

This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance

Advances in Information Security and Privacy

With the recent pandemic emergency, many people are spending their days in smart working and have increased their use of digital resources for both work and entertainment. The result is that the amount of digital information handled online is dramatically increased, and we can observe a significant increase in the number of attacks, breaches, and hacks. This Special Issue aims to establish the state of the art in protecting information by mitigating information risks. This objective is reached by presenting both surveys on specific topics and original approaches and solutions to specific problems. In total, 16 papers have been published in this Special Issue

Emerging Technologies

This monograph investigates a multitude of emerging technologies including 3D printing, 5G, blockchain, and many more to assess their potential for use to further humanity’s shared goal of sustainable development. Through case studies detailing how these technologies are already being used at companies worldwide, author Sinan Küfeoğlu explores how emerging technologies can be used to enhance progress toward each of the seventeen United Nations Sustainable Development Goals and to guarantee economic growth even in the face of challenges such as climate change. To assemble this book, the author explored the business models of 650 companies in order to demonstrate how innovations can be converted into value to support sustainable development. To ensure practical application, only technologies currently on the market and in use actual companies were investigated. This volume will be of great use to academics, policymakers, innovators at the forefront of green business, and anyone else who is interested in novel and innovative business models and how they could help to achieve the Sustainable Development Goals. This is an open access book

Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools

This research topic aims at enterprise-wide modeling and optimization (EWMO) through the development and application of integrated modeling, simulation and optimization methodologies, and computer-aided tools for reliable and sustainable improvement opportunities within the entire manufacturing network (raw materials, production plants, distribution, retailers, and customers) and its components. This integrated approach incorporates information from the local primary control and supervisory modules into the scheduling/planning formulation. That makes it possible to dynamically react to incidents that occur in the network components at the appropriate decision-making level, requiring fewer resources, emitting less waste, and allowing for better responsiveness in changing market requirements and operational variations, reducing cost, waste, energy consumption and environmental impact, and increasing the benefits. More recently, the exploitation of new technology integration, such as through semantic models in formal knowledge models, allows for the capture and utilization of domain knowledge, human knowledge, and expert knowledge toward comprehensive intelligent management. Otherwise, the development of advanced technologies and tools, such as cyber-physical systems, the Internet of Things, the Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., have captured the attention of manufacturing enterprises toward intelligent manufacturing systems

Big Data and Artificial Intelligence in Digital Finance

This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTech, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also describes some more the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance

Digitale Transformation aus unternehmensübergreifender Perspektive: Management der Koevolution von Plattformbesitzern und Komplementoren in Plattformökosystemen

Digital platforms have the potential to transform how organizations are doing business in their respective ecosystems. Motivated by this transformation, the purpose of this thesis is to increase the understanding of digital transformation from an inter-organizational perspective. Therefore, this thesis clarifies the phenomenon of digital transformation, and models and analyzes multiple digital platform ecosystems. Building upon that, this dissertation reflects on multiple case studies on how platform owners can manage the co-evolution of their complementors in digital transformations in digital platform ecosystems.Digitale Plattformen haben das Potential, die Art und Weise, wie Unternehmen in ihren jeweiligen Ökosystemen Geschäfte machen, zu verändern. Motiviert durch diese Transformation, ist das Ziel dieser Arbeit, das Verständnis von digitaler Transformation aus einer inter-organisatorischen Perspektive zu erhöhen. Daher erläutert diese Arbeit das Phänomen der digitalen Transformation, und modelliert und analysiert mehrere digitale Plattformökosysteme. Darauf aufbauend reflektiert diese Dissertation in mehreren Fallstudien darüber, wie Plattformbesitzer die Koevolution ihrer Komplementoren in digitalen Transformationen in digitalen Plattformökosystemen steuern können

Access management for digital twins in the built environment

Recent technological advances in the built environment have sought to create smart cities by coupling information models such as BIM with Cyber-Physical Systems (CPSs). BIM models are now widely used together with IoT-based systems and embrace smart technologies that provide communication layer compatibility. Digital twins are expected to open new opportunities for cyber-physical systems in the future through monitoring and simulation. Security, on the other hand, is rarely properly considered in this fast-evolving industry. However, while they provide various advantages, according to the literature, they also present a number of concerns, the most serious of which is security. Attempting to integrate access management into digital twins that will be used in built-environment applications presents significant obstacles. Furthermore, this is an issue that has received too little attention. As a result, digital twins that can safeguard and identify real twins are in demand. This research focuses on how to enhance the access management frameworks for digital twins in the built environment, paying particular attention to access control, data confidentiality, data integrity, and Single Sign-On (SSO). As a result, this thesis defines an access management framework for digital twins in the built environment that is supported by a requirement specification of access management ontology This study engages with built environment experts to consider their role as stakeholders and identifies their main concerns, gauges their assessments of current technologies and utilities, and stimulates public awareness of built environment applications’ development goals. According to these findings, there is still a need for a suitable and safe access management paradigm for digital twins. Those in charge of overseeing smart building investments and the use of BIM in asset design and management must be aware of the latest access management threats and take steps to prevent any risk to the shared data environment. Therefore, this study has developed a semantically defined access management framework for the built environment through an ontological modelling method which formally represents domain information in the creation stage. This ontology solves the issues identified by previous research and industry surveys by explicitly modelling the relationships in an access management context between physical built environment assets, IoT devices, cyber-physical systems, current built environment services, existing security standards, digital twin and BIM datasets, as well as user interfaces and the actors who use them The fundamental novelty of this framework is that while previous work has focused on IoT platforms that integrate with BIM, none of these platforms allow seamless integration with BIM models. The need to be able to operate secure servers appears to have been disregarded in efforts to solve access management problems. The access management framework is validated using a case study from Cardiff University achieved validating the semantic representation against the competency questions and on data drawn from existing case studies developed on university buildings. The validation has shown that the final access management framework semantic representation satisfies the defined requirements and is suitable for application in various built environment use cases. Furthermore, its functionality is tested in the specified case study, as is its compatibility with the necessary built-environment principles such as SSO. The key contributions of this study are that it (a) finds the current IoT and CPS security systems to address the access management threats facing digital twins in the context of smart buildings and districts; (b) finds built environment experts to consider their role as a stakeholder and to identify their main concerns; and (c) enhances the access management framework for digital twins in the built environment. Finally, numerous important recommendations are suggested for future research to help overcome the current study’s limitations. These recommendations are designed to stimulate future research in the areas of built environment access management, digital twins, and cyber physical system

Future Transportation

Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others