Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Privacy matters:issues within mechatronics

As mechatronic devices and components become increasingly integrated with and within wider systems concepts such as Cyber-Physical Systems and the Internet of Things, designer engineers are faced with new sets of challenges in areas such as privacy. The paper looks at the current, and potential future, of privacy legislation, regulations and standards and considers how these are likely to impact on the way in which mechatronics is perceived and viewed. The emphasis is not therefore on technical issues, though these are brought into consideration where relevant, but on the soft, or human centred, issues associated with achieving user privacy

Living labs as a driver for change in regional television

Traditional television production and distribution organizations are increasingly being challenged by a rapidly changing technological environment. These evolutions force the television industry to leave their comfort zone. This context in mind, regional television broadcasters often lack the resources, knowledge and organizational flexibility to cope with this external pressure. In this paper, we discuss the use of Living Labs as ‘innovation intermediaries’ and ‘change facilitators’ that foster and enable user-centric innovation development processes, both inside and outside the organization. This phenomenon is approached from both an open innovation and a user innovation point of view. This paper considers Living Labs as open innovation ecosystems, enabling organizations to reach out and collaborate with their (potential) audience and other external actors, but also as an open ‘battle arena’ for the organization itself. The Living Lab process governs different expectations and enables conflicting opinions to come together and to steadily grow towards a mutual solution. Moreover, the innovation development process in the Living Lab seems to have innovation spill-over effects on the organizational level, catalyzing a broader organizational change

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an efficient energy efficiency system is not straightforward; it requires a priori knowledge of existing fusion strategies, their applications and their properties. To this regard, seeking to provide the energy research community with a better understanding of data fusion strategies in building energy saving systems, their principles, advantages, and potential applications, this paper proposes an extensive survey of existing data fusion mechanisms deployed to reduce excessive consumption and promote sustainability. We investigate their conceptualizations, advantages, challenges and drawbacks, as well as performing a taxonomy of existing data fusion strategies and other contributing factors. Following, a comprehensive comparison of the state-of-the-art data fusion based energy efficiency frameworks is conducted using various parameters, including data fusion level, data fusion techniques, behavioral change influencer, behavioral change incentive, recorded data, platform architecture, IoT technology and application scenario. Moreover, a novel method for electrical appliance identification is proposed based on the fusion of 2D local texture descriptors, where 1D power signals are transformed into 2D space and treated as images. The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored

Determinants of consumers' perceived trust in IT-ecosystems

Digital ecosystems, or IT-ecosystems (ITEs), are composed of multiple and independent entities such as individuals, organizations, services, software, and applications. Together, these elements create a number of new independent systems that operate and communicate with their own infrastructure (man to machine; machine to machine; person to person), sharing one or several missions. A better understanding of how ITEs and their interconnected components create benefits and added value for different types of consumers is of particular importance to the establishment of digital environments and to managing their resources. Considering different components of perceived trust in ITEs, we rely in this paper on a multi-dimensional framework of trust effects that includes system-centric as well as user-centric determinants of trust. Based on our conceptual model, we develop two sets of propositions. The first ones address technological drivers of trust in ITEs, whereas the second set of propositions considers individual as well as social drivers of trust. The model and propositions are discussed with reference to preliminary empirical results as well as to future research steps and business implications

Consumer Contracts, Copyright Licensing, and Control over Data on the Internet of Things

This article presents our interdisciplinary analysis of end-user license agreements and privacy policies from a sample of 22 consumer goods/services connected to the Internet of Things (IoT). We gathered data in the form of legal documents and assessed them from legal and economic perspectives. We developed an original taxonomy of IoT-connected consumer goods/services, classified different business models built around them, and reviewed legal terms and conditions related to their use. Our analysis identifies copyright related restrictions and brings to light issues beyond copyright that merit consideration in the context of a review of copyright law and policy. First, we find that even obtaining legal information on smart products, including software license restrictions and other copyright limitations, is a difficult and time-consuming exercise. Second, our analysis of business models shows interoperability of platforms within an ecosystem of third-party devices and applications, but restrictions that limit interoperability across ecosystems. Third, terms and conditions of consumer use of smart devices in our sample are set up to allow for the collection and transfer of personal data, often sensitive data, in addition to all data collected by the companies from other sources such as social media. Fourth, our study shows that software licensing is now common practice among smart device manufacturers. Based on these findings, we make recommendations to address the issues of accessibility of legal information, data portability, interoperability of systems, and competition. We recommend that governments cooperate with industry, consumer, and public interest groups to: (1) promote labelling standards to help consumers locate and understand the terms on which they acquire and use IoT products and services; (2) support open standards and protocols to facilitate interoperability across platforms; (3) integrate data portability and related issues with ongoing discussions about not only copyright reform but also reforms to privacy laws and other digital rights; and (4) take seriously the relevant recommendations of the Parliamentary Committee for revision to the Copyright Act

Building the Hyperconnected Society- Internet of Things Research and Innovation Value Chains, Ecosystems and Markets

This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment.The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda, and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade