1,721,007 research outputs found
Classifying and clustering the web of things.
Full text linkThe Web of Things is emerging as a promising solution for realizing ubiquitous applications, where real-world things and people seamlessly connect and communicate. The challenges of integrating real-world things into the virtual environment of the Web have been the subject of much research recently. Such environments present a major challenge i.e. to retrieve combined environmental services and relevant information through prevalent means. Research in this direction is significantly challenging because of the growing number of heterogeneous things connected to the Web and the potential ubiquitous applications that would positively influence society, business, and industry. The substantial numbers of proprietary applications that integrate real-world things reveal the requirement for an open and scalable framework for including the plethora of things in a systematic and structured manner. Adequate solutions to manage the ever increasing number of things are paramount to induce flexibility, robustness, and usability in future ubiquitous applications. In this dissertation, we propose a novel semantic structure to represent things on the Web. We classify things into an ontological structure based on required capabilities to participate in the Web. We introduce the Ambient Space framework to manage things in a scalable manner and use it to model the creation of communities of things. We describe the process of analyzing thing's semantic structure to cluster them into communities. We also discuss how things join these communities inherently to establish relationships with people on contemporary social networks. Finally, we present case-studies centered on environment sustainability which show applications where a number of things are managed using our framework in autonomous, heterogeneous, and dynamic environments. Our evaluations reveal the benefits of such applications, compared to conventional solutions, in support of sustainable environments.Thesis (Ph.D.) -- University of Adelaide, School of Computer Science, 201
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Chapter 2 Cloud-based IoT platforms for digital transformation
No full textThis chapter shows the role of cloud-based IoT platforms in driving digital transformation across various domains. Cloud-based IoT platforms offer scalable and flexible solutions for managing and analyzing massive amounts of data generated by IoT devices, enabling organizations to harness the transformative power of IoT. The architectural components of IoT platforms are revealed. The chapter also discusses the considerations for selecting IoT platforms, including platform types, deployment options, and application development approaches. Real-world examples and case studies illustrating how cloud-based IoT platforms are driving digital transformation are showcased across domains of business, society, and environment sectors. The challenges in cloud-based IoT platforms are discussed, including organizational readiness, return on investment (ROI) and cost-effectiveness, talent acquisition, and integration with emerging technologies, such as AI and blockchain. The chapter concludes with insights into the evolving trends and advances in IoT platform technologies, including the integration of AI and blockchain technology, and the impact of emerging network technologies, for example, 5G and 6G. Overall, the chapter provides a comprehensive understanding of cloud-based IoT platforms and their instrumental role in enabling digital transformation for organizations across various domains. It also provides resources for assisting organizations to plan their own transformation
Chapter 3 Enabling digital transformation with IoT cloud applications and services
No full textThis chapter discusses the enabling factors for digital transformation and shows how the cloud-to-things continuum enhances this transformation. As digitalization paves the way for digital transformation, the increasing reliance on data and the imperative for real-time data processing to make fast business decisions promote a stronger connection between IoT and cloud-based services. This transformation journey is driven by the use of cloud-based AI models, which can handle and analyze large amounts of data, providing valuable directions for sustainable business initiatives. The chapter reveals the significance of establishing a scalable and adaptable technology infrastructure, coupled with suggested key performance indicators (KPIs) to gauge the ongoing transformation accurately. Then, the benefits of agile development and operations facilitated by the cloud-to-things continuum are discussed. The chapter concludes by illustrating enriched digital experiences that foster a successful digital transformation journey
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Chapter 14 IoT-cloud for social good in municipality services
No full textThis chapter examines the transformative impact of IoT and cloud technologies in public sector services, highlighting their role in advancing social good within municipalities. The strategic impacts of these technologies to address urban challenges, improve public utilities, and elevate citizen well-being, are emphasized. Real-world examples from global cities showcase smart solutions induced from the fusion of IoT and cloud computing, which are further discussed in the context of public sector services, such as waste management, traffic congestion, and environment monitoring. The importance of measuring success, outlining metrics such as service efficiency, cost savings, and environmental benefit are underscored, while exploring the value proposition of IoT and cloud for strategic innovation, economic development, and inclusive access to public services. The future outlook is framed as a balanced approach, integrating user-centric design, ethical considerations, and a commitment to data privacy regulations, such as GDPR, to harness the full potential of IoT for societal benefits
Chapter 5 Unlocking value with the cloud-to-things continuum
No full textIn this chapter, we delve into how organizations can take advantage of cloud services and IoT integration to uncover untapped opportunities and achieve success. By analyzing the supply and demand economic model, we show valuable insights into how the cloud-to-things continuum can enhance value. Detecting latent connections in IoT data, forecasting future trends, and embracing the various aspects of digital transformation serve as pain relievers and gain creators to support businesses solve problems and achieve meaningful accomplishments.This chapter reveals how to stay ahead of the competition by leveraging the power of the cloud-to-things continuum to transform business and foster innovation
Chapter 7 The Enterprise IoT
No full textDigital transformation in enterprises is driven by integrating AI and IoT, whereby companies maximize their return on investment and optimize the use of their operational resources. This chapter examines enterprise IoT, focusing on key aspects, such as scalability, connectivity, security, and data processing, in business contexts. The distinctions between consumer IoT and enterprise IoT are discussed to highlight the unique challenges businesses must consider when integrating IoT solutions into business processes. Case studies demonstrate how AI-enabled enterprise IoT models can optimize operations and personalize customer experiences. Additionally, these case studies illustrate new business models and revenue streams, which demonstrate the transformative potential of enterprise IoT across various industries
Chapter 6 IoT inter-cloud interoperability for sustainable digital transformation
No full textAcross multiple IoT cloud platforms, the role of interoperability is paramount to bridge gaps, foster inclusivity, and catalyze growth across various sectors. IoT inter-cloud interoperability knits a seamless fabric of connectivity, where data is not confined by the boundaries of individual platforms but flows horizontally, across different IoT platforms. Interoperability shapes the principle of unity, bringing together disparate technologies to support the co-creation of innovation. This chapter defines IoT inter-cloud fabric and reveals related interoperability challenges. We then navigate through the economic, environmental, and social dimensions of sustainability with IoT inter-cloud interoperability. Real-life use cases are showcased across sectors such as healthcare, urban management, and agriculture, to unveil the transformative potential of this interoperability. The prospective advancements in semantic interoperability, artificial intelligence, and machine learning and the evolution of standards and protocols are discussed as future directions in streamlining data integration
- …
